Wentao Han | Medicine | Best Researcher Award

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Dr. Wentao Han | Medicine | Best Researcher Award

Dr. Wentao Han, Department of Ophthalmology, The Second Xiangya Hospital, Central South University, China

Wentao Han is a dedicated ophthalmology researcher specializing in diabetic eye complications, dry eye syndrome, and gene therapy. Currently pursuing his research at the Second Xiangya Hospital of Central South University, China, he has demonstrated a strong passion for advancing medical science through innovative studies. His contributions to ocular disease research, particularly in understanding the gut-eye axis and corneal wound healing, highlight his interdisciplinary approach. He has authored multiple high-impact journal articles and actively collaborates with global scholars. His research on machine learning applications in medical diagnosis showcases his forward-thinking vision in integrating AI with healthcare. Beyond academia, Wentao Han serves as a reviewer for prestigious journals, contributing to the integrity of scientific publications. His dedication to translational medicine and biomarker identification continues to shape new therapeutic strategies. His work aims to bridge laboratory findings with clinical applications, improving patient outcomes in ophthalmology and metabolic diseases.

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Suitability for the Research for Best Researcher Award – Wentao Han

Wentao Han demonstrates a strong research background in ophthalmology, particularly in the areas of diabetic eye complications, dry eye syndrome, and corneal wound healing. Currently pursuing research at the Second Xiangya Hospital of Central South University, he has made notable contributions to the field, with multiple high-impact publications in reputable journals. His expertise in the “gut metabolites–inflammation–eye axis” and gene therapy for Meibomian Gland Dysfunction (MGD) highlights his innovative approach to addressing critical challenges in ophthalmology.

His publication record is impressive, with multiple papers in Q1 and Q2 journals, including Pharmaceutics, The Ocular Surface, Acta Diabetologica, and Journal of Medical Internet Research. Notably, his work on machine learning prediction models, autophagy in retinal precursor cells, and the gut-eye axis showcases a multidisciplinary research approach. His role as an invited reviewer for respected journals further establishes his credibility in the academic community.

🎓 Education 

Wentao Han is currently pursuing advanced medical research at Central South University, Changsha, China, within the Department of Ophthalmology at the Second Xiangya Hospital. His academic journey reflects a deep commitment to ophthalmic research, focusing on diabetic retinopathy, ocular surface disorders, and corneal healing mechanisms. Through rigorous training and hands-on experience in clinical settings, he has honed his expertise in evidence-based medicine and translational research. His coursework and mentorship under leading ophthalmologists have allowed him to integrate molecular biology with patient-centered investigations. Additionally, he actively participates in research seminars, workshops, and scientific collaborations, reinforcing his knowledge of bioinformatics, gene therapy, and regenerative medicine. His strong foundation in medical sciences, combined with a keen interest in technological advancements, positions him as a promising young researcher in ophthalmology. His education has equipped him with critical skills to contribute to groundbreaking discoveries in the field of ocular diseases.

💼 Professional Experience 

As a researcher in ophthalmology at the Second Xiangya Hospital of Central South University, Wentao Han has contributed significantly to understanding diabetic eye complications and ocular disease mechanisms. His professional experience includes conducting clinical and preclinical studies on dry eye syndrome, corneal wound healing, and the gut-eye axis. He has extensive expertise in meta-analyses, molecular diagnostics, and the application of artificial intelligence in disease prediction. His work in identifying novel biomarkers for diabetic retinopathy has been widely recognized. Additionally, he collaborates with interdisciplinary teams, integrating bioinformatics and evidence-based medicine to develop innovative treatment approaches. Han’s active involvement in academic publishing and peer review for high-impact journals reflects his commitment to advancing medical knowledge. His current projects involve investigating gene therapy for meibomian gland dysfunction and corneal regeneration, with the aim of translating scientific discoveries into clinical applications that enhance patient care in ophthalmology.

🏅 Awards and Recognition 

Wentao Han has received multiple recognitions for his outstanding contributions to ophthalmic research. He has been an invited reviewer for prestigious journals such as Cell Death Discovery (IF = 7) and Acta Diabetologia (IF = 3.9), underscoring his expertise in diabetes-related ocular disorders. His research on gut metabolites’ role in eye diseases has been acknowledged at international conferences. Several of his published articles in Q1 journals have earned high citations, reflecting their impact on the scientific community. Han has also contributed to the development of machine learning prediction models for gestational diabetes mellitus, further showcasing his interdisciplinary proficiency. His involvement in groundbreaking studies on corneal wound healing has positioned him as a promising young researcher in ophthalmology. With a strong publication record, peer recognition, and contributions to medical advancements, Han continues to be a driving force in translational ophthalmic research and clinical innovation.

🌍 Research Skills On Medicine

Wentao Han possesses a diverse set of research skills that bridge molecular biology, clinical medicine, and artificial intelligence applications in ophthalmology. His expertise includes conducting systematic reviews, meta-analyses, and experimental research on diabetic retinopathy and dry eye syndrome. He is proficient in bioinformatics tools for gene analysis and biomarker identification, which he applies to precision medicine. Han is skilled in laboratory techniques such as immunohistochemistry, cell culture, and animal models for ocular disease studies. His ability to integrate AI and machine learning into medical research has led to innovative predictive models for disease diagnosis. Additionally, his work in gene therapy for corneal and meibomian gland dysfunction highlights his translational research capabilities. Han’s interdisciplinary approach allows him to explore novel therapeutic targets, making significant contributions to evidence-based medicine. His research aims to improve diagnostic accuracy and therapeutic interventions in ophthalmic and metabolic disorders.

📖 Publication Top Notes

  • Research Progress and Potential Applications of Spermidine in Ocular Diseases
  • Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis
    • Authors: Zheqing Zhang, Luqian Yang, Wentao Han, Yaoyu Wu, Linhui Zhang, Chun Gao, Kui Jiang, Yun Liu, Huiqun Wu
    • Citation: Journal of Medical Internet Research, 2022-03-16
    • Year: 2022
    • DOI: 10.2196/26634
  • Genome Analysis and Identification of Key Pathway in Visceral Adipose Tissue from Obesity-Related Diabetes
    • Authors: Wentao Han
    • Citation: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing, 2021-01-22
    • Year: 2021
    • DOI: 10.1145/3448748.3448757
  • Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis (Preprint)
    • Authors: Zheqing Zhang, Luqian Yang, Wentao Han, Yaoyu Wu, Linhui Zhang, Chun Gao, Kui Jiang, Yun Liu, Huiqun Wu
    • Citation: Preprint, 2020-12-19
    • Year: 2020
    • DOI: 10.2196/preprints.26634
  • Construction of a Knowledge Graph for Diabetes Complications from Expert-Reviewed Clinical Evidences
    • Authors: Wentao Han
    • Citation: Computer Assisted Surgery (Abingdon, England), 2020-11-25
    • Year: 2020
    • DOI: 10.1080/24699322.2020.1850866
    • PMID: 33275462
  • Association Between Retinol Binding Protein 4 and Diabetic Retinopathy Among Type 2 Diabetic Patients: A Meta-analysis
    • Authors: Wentao Han, Huagen Wei, Weizheng Kong, Jing Wang, Luqian Yang, Huiqun Wu
    • Citation: Acta Diabetologica, 2020-10
    • Year: 2020
    • DOI: 10.1007/s00592-020-01535-3

 

Eugene Mananga | Physics | Best Researcher Award

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Prof. Dr. Eugene Mananga | Physics | Best Researcher Award

Prof. Dr. Eugene Mananga, The City University of New York, United States

Dr. Eugene Stephane Mananga is an esteemed physicist with a distinguished career in research, teaching, and mentoring. He is a faculty member at the City University of New York (CUNY) and holds adjunct positions at New York University (NYU). With affiliations at Brookhaven National Laboratory, he has significantly contributed to nuclear medicine, solid-state NMR, and applied physics. Dr. Mananga’s interdisciplinary expertise spans medical physics, sustainability, and materials science. He has been recognized with prestigious awards, including the Presidential Award for Excellence in STEM Mentoring. Fluent in multiple languages, he actively participates in international collaborations, pushing the boundaries of science and education. His passion for innovation and commitment to mentoring the next generation of scientists have earned him widespread recognition. With a prolific publication record and extensive experience in research leadership, Dr. Mananga continues to shape the scientific landscape.

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Suitability of Eugene Stephane Mananga, Ph.D. for the Research for Best Researcher Award

Dr. Eugene Stephane Mananga is a distinguished physicist and researcher with an exceptional academic background, extensive teaching experience, and a strong track record in research and mentorship. His education spans prestigious institutions such as Harvard University, MIT, and the City University of New York (CUNY), reflecting a strong foundation in physics, nuclear medicine, and sustainability. His career is marked by significant research contributions, particularly in applied physics, nuclear medicine, and solid-state NMR, making him a leading expert in his field.

His numerous academic appointments, including faculty positions at CUNY, NYU, and Brookhaven National Laboratory, showcase his long-standing commitment to both research and education. As a faculty mentor at CUNY Advanced Science Research Center and a fellow at the Kavli Institute for Theoretical Physics, Dr. Mananga has demonstrated a deep commitment to fostering the next generation of scientists. His leadership roles, including serving on executive boards and directing STEM programs, further highlight his dedication to advancing science and technology.

🎓 Education

Dr. Mananga holds a Ph.D. in Physics from the City University of New York (CUNY), where he was an NSF/AGEP-MAGNET Chancellor Fellow. His academic journey includes postdoctoral research in nuclear medicine at Harvard Medical School and medical physics at Massachusetts General Hospital. He earned advanced degrees from Harvard University, Massachusetts Institute of Technology (MIT), and the University of Yaoundé. His expertise in sustainability, solid-state NMR, and applied biostatistics underscores his interdisciplinary approach to science. His education, spanning top institutions in the U.S. and France, has equipped him with a strong foundation in theoretical and applied physics. Dr. Mananga’s academic rigor and excellence are reflected in his research contributions, which bridge fundamental physics with practical applications. His diverse educational background enables him to integrate multiple scientific disciplines, making significant contributions to various research fields.

💼 Professional Experience

Dr. Mananga is a Professor of Physics at Bronx Community College (CUNY) and a Doctoral Faculty member in Chemistry and Physics at CUNY Graduate Center. He also serves as an Adjunct Professor of Applied Physics at NYU. His research affiliations include Brookhaven National Laboratory, where he works as a Visiting Scientist. He has held research fellowships at Harvard Medical School, Massachusetts General Hospital, and the French Atomic Energy Commission (CEA-Saclay). His professional appointments extend to leading roles in academic boards, mentorship programs, and DOE research initiatives. As a Faculty Mentor at CUNY Advanced Science Research Center, he actively fosters STEM excellence. His extensive leadership in research and education, combined with his participation in prestigious faculty fellowship programs at national laboratories, underscores his impact on scientific advancements and academic mentorship.

🏅 Awards and Recognition

Dr. Mananga has received numerous prestigious awards, including the 2025 Presidential Award for Excellence in STEM Mentoring from the White House. He was honored by the Borough of the Bronx for his contributions to African communities and received the 2024 SACNAS Distinguished Mentor Award. He is a selected Fellow of the Kavli Institute for Theoretical Physics and a recipient of multiple DOE Visiting Faculty Fellowships at Brookhaven and Lawrence Berkeley National Laboratories. Other accolades include the President’s Award for Excellence in Research at CUNY, a Lifetime Achievement Award from VDGOOD Professional Association, and the CUNY Junior Faculty Research Award in Science and Engineering. His consistent recognition for scientific excellence, mentoring, and leadership demonstrates his profound impact on academia and research.

🌍 Research Skills On Physics

Dr. Mananga’s research expertise spans nuclear magnetic resonance (NMR), quantum mechanics, solid-state physics, and medical imaging. His work in computational physics, biophysics, and energy sustainability has led to groundbreaking innovations. He has extensive experience in theoretical modeling, spectroscopy, and nanotechnology applications. His interdisciplinary approach integrates physics, chemistry, and engineering, enabling novel contributions to energy research and medical diagnostics. His ability to bridge fundamental science with real-world applications has made him a leader in his field. He actively collaborates with international research teams and mentors students in cutting-edge scientific projects. His diverse skill set makes him a pivotal figure in advancing physics and interdisciplinary science.

 📖 Publication Top Notes

  • Title: Introduction of the Floquet-Magnus expansion in solid-state nuclear magnetic resonance spectroscopy
    Author(s): ES Mananga, T Charpentier
    Citation Count: 107
    Year: 2011
  • Title: Facile synthesis of the Basolite F300-like nanoscale Fe-BTC framework and its lithium storage properties
    Author(s): X Hu, X Lou, C Li, Y Ning, Y Liao, Q Chen, ES Mananga, M Shen, B Hu
    Citation Count: 102
    Year: 2016
  • Title: High pressure NMR study of water self-diffusion in NAFION-117 membrane
    Author(s): JRP Jayakody, PE Stallworth, ES Mananga, J Farrington-Zapata, …
    Citation Count: 60
    Year: 2004
  • Title: On the Floquet–Magnus expansion: Applications in solid-state nuclear magnetic resonance and physics
    Author(s): ES Mananga, T Charpentier
    Citation Count: 44
    Year: 2016
  • Title: NMR investigation of water and methanol transport in sulfonated polyareylenethioethersulfones for fuel cell applications
    Author(s): JRP Jayakody, A Khalfan, ES Mananga, SG Greenbaum, TD Dang, …
    Citation Count: 36
    Year: 2006
  • Title: Finite pulse width artifact suppression in spin-1 quadrupolar echo spectra by phase cycling
    Author(s): ES Mananga, YS Rumala, GS Boutis
    Citation Count: 35
    Year: 2006
  • Title: Efficient theory of dipolar recoupling in solid-state nuclear magnetic resonance of rotating solids using Floquet–Magnus expansion: Application on BABA and C7 radiofrequency …
    Author(s): ES Mananga, AE Reid, T Charpentier
    Citation Count: 28
    Year: 2012
  • Title: On the application of magic echo cycles for quadrupolar echo spectroscopy of spin-1 nuclei
    Author(s): ES Mananga, R Roopchand, YS Rumala, GS Boutis
    Citation Count: 25
    Year: 2007
  • Title: On the Fer expansion: Applications in solid-state nuclear magnetic resonance and physics
    Author(s): ES Mananga
    Citation Count: 24
    Year: 2016
  • Title: Investigation of the effect of finite pulse errors on the BABA pulse sequence using the Floquet–Magnus expansion approach
    Author(s): ES Mananga, AE Reid
    Citation Count: 24
    Year: 2013

Yukun Shi | Computer Science | Best Scholar Award

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Assoc. Prof. Dr. Yukun Shi | Computer Science | Best Scholar Award

Assoc. Prof. Dr. Yukun Shi, Beijing University of Chemical Technology, China

Dr. Yukun Shi is an accomplished researcher and Associate Professor at the Department of Information Science and Technology, Beijing University of Chemical Technology. He specializes in multi-agent systems, control system network attacks, and distributed estimation. Dr. Shi earned his Ph.D. in Control Science and Engineering from Beijing University of Chemical Technology in 2022. His academic journey includes a one-year research visit to the University of Victoria, Canada, in 2021. His contributions to the field are significant, particularly in advancing secure state estimation and consensus control. He has published extensively in top-tier journals, addressing challenges in network security and distributed control. With a strong background in system modeling and cybersecurity, Dr. Shi continues to drive innovations in multi-agent collaboration and resilience against malicious attacks. His research not only contributes to theoretical advancements but also has practical implications for industrial and technological applications worldwide.

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Suitability for the Research for Best Scholar Award – Yukun Shi

Dr. Yukun Shi, an Associate Professor at the Beijing University of Chemical Technology, has demonstrated remarkable academic and research excellence in the field of control science and engineering. His expertise spans critical areas such as multi-agent systems, control system network attacks, distributed estimation, and consensus control, making his contributions highly relevant to modern automation and cybersecurity challenges. His work is particularly notable in the area of secure state estimation, where he has investigated the robustness of networked control systems against malicious sensor attacks, an emerging concern in industrial and cyber-physical systems.

Dr. Shi’s research output includes several publications in prestigious IEEE journals, such as IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Control of Network Systems, highlighting his ability to contribute cutting-edge advancements in his field. His scholarly work is well-cited, reflecting both its impact and recognition within the scientific community. Additionally, his international exposure, including a research visit at the University of Victoria, Canada, underscores his global perspective and collaborative research approach.

🎓 Education 

Dr. Yukun Shi pursued his Ph.D. in Control Science and Engineering at Beijing University of Chemical Technology, graduating in 2022. His doctoral research focused on secure state estimation in multi-agent systems under adversarial conditions, bridging control theory with cybersecurity. As part of his academic development, he undertook a one-year research visit to the University of Victoria, Canada, in 2021, where he collaborated on cutting-edge projects related to network security and control systems. His education provided him with a strong foundation in distributed control, estimation algorithms, and robust filtering techniques. Throughout his studies, Dr. Shi honed his expertise in tackling cyber threats to industrial control systems, laying the groundwork for his future research in resilient multi-agent networks. His academic journey is marked by rigorous training, innovative problem-solving, and contributions to the field of control and automation engineering.

💼 Professional Experience

Dr. Yukun Shi currently serves as an Associate Professor at the Department of Information Science and Technology, Beijing University of Chemical Technology. With a research focus on multi-agent systems, network security, and distributed estimation, he has made significant contributions to securing cyber-physical systems. His professional journey includes leading research projects on sensor attacks, consensus control, and fault-tolerant filtering in distributed networks. Dr. Shi actively collaborates with international institutions to develop advanced methodologies for improving the resilience of control systems against malicious threats. His role extends beyond research, encompassing mentorship, curriculum development, and industry partnerships. He is a sought-after speaker at academic conferences and has peer-reviewed numerous articles in high-impact journals. His dedication to cybersecurity and control engineering has positioned him as a thought leader in the field, driving innovation and practical solutions to safeguard modern industrial and technological infrastructures.

🏅 Awards and Recognition 

Dr. Yukun Shi has received multiple accolades for his pioneering work in control systems and cybersecurity. He has been recognized for his contributions to secure multi-agent systems and networked control security. His research papers have been published in high-impact journals, earning him best paper awards at leading automation and control conferences. Dr. Shi has also been a recipient of prestigious research grants that support his work in developing robust estimation algorithms against cyber threats. His outstanding contributions have been acknowledged by industry associations, positioning him as a key figure in distributed system security. His work has not only influenced academia but also guided practical implementations in industrial automation and cybersecurity frameworks. Additionally, Dr. Shi has served as a reviewer for top-tier journals, further highlighting his expertise and influence in the scientific community. His relentless pursuit of excellence continues to shape the future of secure control systems.

🌍 Research Skills On Computer Science

Dr. Yukun Shi possesses a robust research skill set centered around multi-agent systems, control system security, and distributed estimation. His expertise includes developing secure state estimation techniques to mitigate network attacks in cyber-physical systems. He specializes in designing fault-tolerant control algorithms that enhance the resilience of distributed networks. His research also encompasses consensus control strategies to improve synchronization in multi-agent environments. Dr. Shi is proficient in advanced filtering techniques, such as Kalman filtering and observer design, to ensure accurate system monitoring despite adversarial interference. He actively applies mathematical modeling and optimization methods to enhance decision-making in complex systems. His work in secure control frameworks has broad applications in autonomous systems, industrial automation, and networked infrastructures. With a keen focus on practical implementation, Dr. Shi’s research continues to bridge theoretical advancements with real-world security challenges, contributing to the evolution of resilient cyber-physical networks.

📖 Publication Top Notes

  • Title: Optimal Output-Feedback Controller Design Using Adaptive Dynamic Programming: A Permanent Magnet Synchronous Motor Application
    • Authors: Zhongyang Wang, Huiru Ye, Youqing Wang, Yukun Shi, Li Liang
    • Citation: IEEE Transactions on Circuits and Systems II: Express Briefs
    • Year: 2025
  • Title: Distributed Filter Under Homologous Sensor Attack and Its Application in GPS Meaconing Attack
    • Authors: Yukun Shi, Wenjing He, Li Liang, Youqing Wang
    • Citation: IEEE Transactions on Automation Science and Engineering
    • Year: 2024
  • Title: Event-triggered distributed secure state estimation for homologous sensor attacks
    • Authors: Yukun Shi, Haixin Ma, Jianyong Tuo, Youqing Wang
    • Citation: ISA Transactions
    • Year: 2023
  • Title: Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks
    • Authors: Yukun Shi, Youqing Wang, Jianyong Tuo
    • Citation: IEEE/CAA Journal of Automatica Sinica
    • Year: 2023
  • Title: Online Secure State Estimation of Multiagent Systems Using Average Consensus
    • Authors: Yukun Shi, Youqing Wang
    • Citation: IEEE Transactions on Systems, Man, and Cybernetics: Systems
    • Year: 2022
  • Title: Asymptotically Stable Filter for MVU Estimation of States and Homologous Unknown Inputs in Heterogeneous Multiagent Systems
    • Authors: Yukun Shi, Changqing Liu, Youqing Wang
    • Citation: IEEE Transactions on Automation Science and Engineering
    • Year: 2022
  • Title: Secure State Estimation of Multiagent Systems With Homologous Attacks Using Average Consensus
    • Authors: Yukun Shi, Changqing Liu, Youqing Wang
    • Citation: IEEE Transactions on Control of Network Systems
    • Year: 2021

Sai Venkatesh Chilukoti | Computer Science | Best Researcher Award

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Mr. Sai Venkatesh Chilukoti | Computer Science | Best Researcher Award

Mr. Sai Venkatesh Chilukoti, University of Louisiana at Lafayette, United States

Sai Venkatesh Chilukoti is a dedicated researcher in Computer Engineering, currently pursuing a Ph.D. at the University of Louisiana at Lafayette under Dr. Xiali Hei. With a stellar academic record and a CGPA of 4.0, he specializes in Deep Learning, Network Security, and Cyber-Physical Systems. His research interests span Federated Learning, Differential Privacy, and Machine Learning applications in healthcare and security. Sai Venkatesh has contributed to multiple peer-reviewed journals and conferences, focusing on privacy-preserving AI and identity recognition. As a Research Assistant in the Wireless Embedded Device Security (WEDS) Lab, he has worked on cutting-edge projects integrating AI, privacy-enhancing techniques, and embedded security. With experience as a Teaching Assistant, he mentors students in Neural Networks, Python, and AI-related fields. His passion lies in translating research into real-world applications, particularly in medical imaging and cybersecurity. Sai is fluent in English, Hindi, and Telugu, and has strong technical skills in Python, PyTorch, and TensorFlow.

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Suitability for the Research for Best Researcher Award – Sai Venkatesh Chilukoti

Sai Venkatesh Chilukoti demonstrates an impressive academic and research portfolio, making him a strong contender for the Research for Best Researcher Award. Currently pursuing a Ph.D. in Computer Engineering at the University of Louisiana at Lafayette with a perfect 4.0/4.0 CGPA, he has developed expertise in deep learning, distributed computing, network security, and cyber-physical systems. His academic credentials are further strengthened by a solid foundation in electronics and communication engineering at the undergraduate level.

His research contributions are notable, particularly in privacy-preserving deep learning, federated learning, and medical AI applications. His work on diabetic retinopathy classification, gastrointestinal cancer prediction, and differential privacy models for healthcare data showcases both technical depth and real-world impact. His involvement in cutting-edge machine learning techniques, including LSTMs, Transformers, and convolutional networks, highlights his ability to innovate within the field. Furthermore, his research assistantship in Wireless Embedded Device Security (WEDS) Lab and role as a teaching assistant demonstrate both research rigor and mentorship capabilities.

🎓 Education 

Sai Venkatesh Chilukoti is currently pursuing a Ph.D. in Computer Engineering at the University of Louisiana at Lafayette (2021-2025, expected), under the supervision of Dr. Xiali Hei, with a perfect CGPA of 4.0. His coursework includes Deep Learning, Network Security, Distributed Computing, and Cyber-Physical Systems. His research focuses on privacy-preserving AI, federated learning, and deep learning model optimization.

He completed his B.Tech. in Electronics and Communication Engineering at Velagapudi Ramakrishna Siddhartha Engineering College (2017-2021), earning a CGPA of 8.53/10. His undergraduate studies encompassed AI, Python, Artificial Neural Networks, and Digital Signal Processing.

Throughout his education, Sai has actively engaged in research projects, including identity recognition using mmWave radar sensors, privacy-aware medical imaging, and deep learning applications in cybersecurity. His academic journey reflects a strong foundation in computational intelligence and a commitment to solving real-world challenges through innovative AI techniques.

💼 Professional Experience

Sai Venkatesh Chilukoti has extensive research and teaching experience, specializing in Deep Learning, Cybersecurity, and Federated Learning. As a Research Assistant at the Wireless Embedded Device Security (WEDS) Lab (2021-present), he has worked on privacy-preserving AI models, security solutions for embedded devices, and deep learning-based medical imaging applications. His work includes designing federated learning frameworks for decentralized AI and developing privacy-aware deep learning techniques.

As a Teaching Assistant for Neural Networks (2024-present), Sai mentors students in probability, calculus, and AI programming using PyTorch and Scikit-learn.

He has led numerous projects, such as statistical analysis of COVID-19 data, AI-driven financial forecasting, and deep learning applications in 3D printing quality control. His expertise extends to programming in Python, C, SQL, and MATLAB, along with experience in cloud computing and AI model deployment. He has also reviewed papers for IEEE Access and other reputed journals.

🏅 Awards and Recognition 

Sai Venkatesh Chilukoti has been recognized for his outstanding contributions to AI research, deep learning, and cybersecurity. He has received multiple conference paper acceptances, including at the Hawai’i International Conference on System Sciences (HICSS-56) and CHSN2021. His work on privacy-preserving AI has been published in high-impact journals like BMC Medical Informatics and Decision Making and Electronic Commerce Research and Applications.

He has also earned certifications in Deep Learning Specialization (Coursera), AI for Everyone (deeplearning.ai), and Applied Machine Learning in Python (University of Michigan). His research in Federated Learning has gained attention for its innovative approach to privacy protection in healthcare AI models. Additionally, Sai has contributed as a reviewer for IEEE Access and Euro S&P, demonstrating his expertise in computer security and AI ethics. His contributions to machine learning, cybersecurity, and privacy-aware AI continue to impact both academic and industrial domains.

🌍 Research Skills On Computer Science

Sai Venkatesh Chilukoti specializes in Federated Learning, Differential Privacy, and Deep Learning model optimization. His expertise spans AI-driven cybersecurity, identity recognition using mmWave radar sensors, and privacy-preserving medical imaging. He has worked extensively with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.

Sai has developed AI models for secure collaborative learning, utilizing techniques like DP-SGD for privacy preservation. His research also explores transformer-based architectures, convolutional networks, and ensemble learning methods to enhance predictive performance. He has integrated advanced optimization techniques, including adaptive gradient clipping and label smoothing, into deep learning pipelines.

He has hands-on experience with federated learning platforms like Flower and privacy-preserving AI models in medical data analysis. His work in statistical modeling, computer vision, and neural networks has contributed to breakthroughs in security and healthcare AI. Sai’s research aims to advance AI applications while maintaining ethical and privacy standards.

📖 Publication Top Notes

  • A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric
      • Authors: Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei
      • Journal: BMC Medical Informatics and Decision Making
      • Volume: 24, Issue 1
      • Article Number: 37
      • Year: 2024
  • Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
      • Authors: Vijay Srinivas Tida, Sai Venkatesh Chilukoti, Sonya H. Y. Hsu, Xiali Hei
      • Conference: 56th Hawaii International Conference on System Sciences
      • Year: 2023
  • Single Image Multi-Scale Enhancement for Rock Micro-CT Super-Resolution Using Residual U-Net
    • Authors: Liqun Shan, Chengqian Liu, Yanchang Liu, Yazhou Tu, Sai Venkatesh Chilukoti
    • Journal: Applied Computing and Geosciences
    • Year: 2024
  • Kernel-Segregated Transpose Convolution Operation
    • Authors: Vijay Srinivas Tida, Sai Venkatesh Chilukoti, Sonya H. Y. Hsu
    • Conference: 56th Hawaii International Conference on System Sciences
    • Year: 2023
  • Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
    • Authors: Sai Venkatesh Chilukoti, C. Meriga, M. Geethika, T. Lakshmi Gayatri, V. Aruna
    • Book Title: High Performance Computing and Networking: Select Proceedings of CHSN 2021
    • Year: 2022
  • Enhancing Unsupervised Rock CT Image Super-Resolution with Non-Local Attention
    • Authors: Chengqian Liu, Yanchang Liu, Liqun Shan, Sai Venkatesh Chilukoti, Xiali Hei
    • Journal: Geoenergy Science and Engineering
    • Volume: 238
    • Article Number: 212912
    • Year: 2024
  • Method for Performing Transpose Convolution Operations in a Neural Network
    • Inventors: Vijay Srinivas Tida, Sonya Hsu, Xiali Hei, Sai Venkatesh Chilukoti, Yazhou Tu
    • Patent Application: US Patent App. 18/744,260
    • Year: 2024
  • IdentityKD: Identity-wise Cross-modal Knowledge Distillation for Person Recognition via mmWave Radar Sensors
    • Authors: Liqun Shan, Rujun Zhang, Sai Venkatesh Chilukoti, Xingli Zhang, Insup Lee
    • Conference: ACM Multimedia Asia
    • Year: 2024
  • Facebook Report on Privacy of fNIRS Data
    • Authors: M. I. Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei
    • Preprint: arXiv preprint arXiv:2401.00973
    • Year: 2024

Maria de Lourdes Deglmann | Physics | Best Researcher Award

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Mrs. Maria de Lourdes Deglmann | Physics | Best Researcher Award

Mrs. Maria de Lourdes Deglmann, Federal University of Santa Catarina, Brazil

Maria de Lourdes Zamboni Peixoto Deglmann is a PhD candidate at the Federal University of Santa Catarina (UFSC), specializing in Mathematical Physics and Field Theory. With a deep interest in the nature of Dark Energy, she explores quintessence models and their impact on fundamental physics. She earned her Master’s degree in Mathematical Physics and Field Theory (2019) and a Bachelor’s in Physics (2017) with a Student Merit Medal, both from UFSC. Her research extends to Abelian and non-Abelian Field Theories, with publications in prestigious journals such as the Journal of High Energy Physics, Physics Letters B, and Annals of Physics. Beyond theoretical physics, Maria is passionate about scientific education and climate change advocacy. Actively collaborating with researchers, she is dedicated to pushing the boundaries of knowledge in gravitation and field theory, making significant contributions to our understanding of the universe.

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Suitability for the Best Researcher Award – Maria de Lourdes Zamboni Peixoto Deglmann

Maria de Lourdes Zamboni Peixoto Deglmann demonstrates strong academic and research credentials, making her a promising candidate for the Best Researcher Award. As a PhD candidate in Mathematical Physics and Field Theory at the Federal University of Santa Catarina (UFSC), her work focuses on the implications of Quintessence models in understanding Dark Energy. Her background includes a Master’s in Mathematical Physics and Field Theory (2019) and a Bachelor’s in Physics (2017), where she was awarded a Student Merit Medal. Her expertise in Abelian and non-Abelian Field Theories, coupled with her research in quantum implications of dark energy, showcases her significant contributions to theoretical physics.

Her research output is impressive, with publications in top-tier journals such as the Journal of High Energy Physics, Physics Letters B, and Annals of Physics. Her recent work introduces a novel “dark phase” effect, potentially leading to observable signatures of dark energy. Additionally, her study on a non-Abelian magnetic monopole as a dark matter candidate reflects her ability to engage in cutting-edge theoretical physics research. While her h-index (1) is still developing, this is expected for a PhD student early in their career. Her membership in the Brazilian Physical Society (SBF) and the Brazilian Society for the Advancement of Science (SBPC) further validates her professional standing.

🎓 Education 

Maria de Lourdes Zamboni Peixoto Deglmann holds a Bachelor’s degree in Physics from UFSC (2017), where she received the Student Merit Medal for outstanding academic performance. She continued her studies with a Master’s in Mathematical Physics and Field Theory (2019), focusing on the mathematical underpinnings of quantum field theories. Currently, as a PhD candidate in Physics at UFSC, her research investigates quintessence models and their implications for Dark Energy. Her academic journey is marked by rigorous coursework in advanced mathematical methods, general relativity, quantum mechanics, and field theory. Throughout her education, she has engaged in research projects involving Abelian and non-Abelian field theories, contributing to fundamental advancements in theoretical physics. Her commitment to academic excellence is reflected in her published works, which address intricate aspects of quantum field interactions and gravitational effects. Maria’s educational background equips her with the expertise to explore cutting-edge topics in modern physics.

💼 Professional Experience 

Maria de Lourdes Zamboni Peixoto Deglmann has extensive research experience in theoretical and mathematical physics. As a PhD candidate at UFSC, she delves into quintessence models and their impact on Dark Energy, expanding the understanding of spin-0 particle interactions near event horizons. She has worked on multiple high-level projects, including investigations into non-Abelian magnetic monopoles as Dark Matter candidates. Her research has led to publications in top-tier journals such as the Journal of High Energy Physics, Physics Letters B, and Annals of Physics. Maria actively collaborates with physicists and contributes to scientific discussions on gravitation, quantum fields, and cosmology. She has also participated in academic conferences, presenting her findings to the global physics community. In addition to her research, she advocates for scientific literacy and climate awareness. Her professional journey exemplifies a strong commitment to advancing knowledge in fundamental physics and fostering scientific dialogue.

🏅 Awards and Recognition 

Maria de Lourdes Zamboni Peixoto Deglmann has received multiple accolades for her academic excellence and research contributions. She was awarded the Student Merit Medal during her undergraduate studies at UFSC in recognition of her outstanding academic achievements. Her research in Mathematical Physics and Field Theory has been published in high-impact journals, solidifying her reputation in the scientific community. Maria has been recognized for her work on quintessence models and their implications for Dark Energy, earning invitations to present at prestigious physics conferences. She is an active member of the Brazilian Physical Society (SBF) and the Brazilian Society for the Advancement of Science (SBPC), where she contributes to discussions on cutting-edge theoretical physics. Her innovative research on non-Abelian field theories and gravitational effects has positioned her as a promising physicist in her field. Maria’s dedication to academic excellence continues to earn her recognition among peers and mentors alike.

🌍 Research Skills On Physics

Maria de Lourdes Zamboni Peixoto Deglmann possesses a diverse set of research skills in theoretical and mathematical physics. Her expertise spans quantum field theory, general relativity, and cosmology, with a focus on quintessence models and Dark Energy. She is proficient in analytical techniques for solving differential equations in field theory, as well as computational methods for simulating gravitational interactions. Maria has a strong grasp of Abelian and non-Abelian gauge theories, allowing her to explore magnetic monopoles and their role in dark matter physics. Her ability to synthesize complex theoretical concepts into publishable research has led to multiple journal publications. She is skilled in LaTeX, Mathematica, and Python for scientific computing. Additionally, Maria actively collaborates with researchers, contributing to joint publications and interdisciplinary projects. Her ability to bridge mathematical rigor with physical intuition makes her a valuable contributor to modern theoretical physics.

📖 Publication Top Notes

  1. Publication: Dark Monopoles in Grand Unified Theories
    • Authors: MLZP Deglmann, MAC Kneipp
    • Citation: Journal of High Energy Physics 2019 (01), 23
    • Year: 2019
  2. Publication: Black strings and string clouds embedded in anisotropic quintessence: Solutions for scalar particles and implications
    • Authors: ML Deglmann, LG Barbosa, CC Barros Jr.
    • Citation: DOI: 10.1016/j.aop.2025.169948
    • Year: 2025
  3. Publication: Asymptotic stability analysis for SU (n) dark monopoles
    • Authors: ML Deglmann, MAC Kneipp
    • Citation: Physics Letters B 806, 135476
    • Year: 2020

KORAY YILMAZ | Dentistry | Academic Excellence Award

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Assoc. Prof. Dr. KORAY YILMAZ | Dentistry | Academic Excellence Award

Assoc. Prof. Dr. KORAY YILMAZ, Çukurova university, Turkey

Doç. Dr. Koray Yılmaz is a distinguished endodontist and academician dedicated to advancing dental research and education. He earned his Doctor of Dental Surgery (DDS) degree from Hacettepe University in 2008 and specialized in Endodontics at Ondokuz Mayıs University in 2016. Dr. Yılmaz has contributed significantly to the field of root canal treatments, focusing on pain management and innovative treatment techniques. As an associate professor at Hatay Mustafa Kemal University, he has mentored students and led groundbreaking research projects in endodontics. He has been an active member of professional organizations like the Turkish Endodontic Society and the Turkish Dental Association. With numerous publications in international peer-reviewed journals, Dr. Yılmaz continues to impact the field through his research on endodontic materials, irrigation techniques, and pain reduction. His dedication to clinical excellence and scientific inquiry positions him as a leading expert in modern dentistry.

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Suitability of Koray Yılmaz for the Research for Academic Excellence Award

Koray Yılmaz, an Associate Professor in the Department of Endodontics at Hatay Mustafa Kemal University, has demonstrated outstanding academic and research contributions in the field of dentistry, particularly in endodontics. His extensive educational background, including a doctorate in endodontics and a specialization in clinical sciences, forms a strong foundation for his research endeavors. His academic career, spanning over a decade, reflects his commitment to advancing knowledge in his field, mentoring students, and contributing to institutional growth through various administrative roles.

Yılmaz has actively engaged in scientific research, with multiple publications in internationally recognized peer-reviewed journals. His studies, focused on endodontic techniques, materials, and procedural outcomes, have significantly contributed to improving dental treatment methodologies. His research on root canal treatments, instrumentation, and post-treatment effects highlights his expertise in clinical applications and innovative approaches. Additionally, his involvement in research projects funded by higher education institutions showcases his ability to lead and collaborate in scientific investigations.

🎓 Education 

Dr. Koray Yılmaz began his academic journey at Hacettepe University, where he completed his Bachelor’s in Dentistry in 2008. Pursuing excellence in his field, he specialized in Endodontics at Ondokuz Mayıs University, earning his medical specialty degree in 2016. His thesis, supervised by Prof. Umut Tunga, focused on the efficacy of different anesthesia techniques in root canal treatments. With a strong passion for research and academia, Dr. Yılmaz further refined his expertise through advanced clinical training and scientific exploration. His academic credentials reflect his commitment to evidence-based dental practices, particularly in endodontic treatments. Currently serving as an associate professor at Hatay Mustafa Kemal University, he plays a crucial role in training future dentists and endodontists. His extensive education and professional experience have positioned him as a leading expert in dental health, pain management, and minimally invasive root canal therapies.

💼 Professional Experience 

Dr. Koray Yılmaz has an impressive professional trajectory in the field of endodontics. He started his academic career at Hatay Mustafa Kemal University as an Assistant Professor in 2018 and was later promoted to Associate Professor in 2019. His research primarily focuses on root canal therapy, pain management, and endodontic materials. Throughout his career, he has led multiple scientific research projects, including the evaluation of various root canal filling techniques. Dr. Yılmaz has supervised numerous postgraduate theses and contributed to the development of innovative endodontic practices. Additionally, he has served in administrative roles such as Head of the Endodontics Department and a member of the Faculty Management Board. His expertise in clinical endodontics and academic leadership has made him a key figure in dental education. As a mentor, researcher, and practitioner, Dr. Yılmaz continues to shape the future of endodontic care and education.

🏅 Awards and Recognition 

Dr. Koray Yılmaz has been recognized for his outstanding contributions to endodontics and dental education. His research excellence has earned him multiple awards and accolades, particularly for his innovative work in root canal therapy. He has received national and international recognition for his publications on pain management, endodontic materials, and minimally invasive techniques. Dr. Yılmaz is an active member of the Turkish Endodontic Society and the Turkish Dental Association, where he has been acknowledged for his service and research contributions. His participation in global dental conferences has further solidified his reputation as a thought leader in endodontics. Additionally, his role as a research advisor and thesis supervisor has been highly commended, with his students achieving success in academic and clinical fields. His dedication to scientific advancement continues to influence modern dental practices, earning him respect in both academic and professional circles.

🌍 Research Skills On Dentistry

Dr. Koray Yılmaz is a dedicated researcher specializing in endodontics, with a strong focus on root canal treatment techniques, pain management, and endodontic materials. His expertise includes the evaluation of anesthesia effectiveness in irreversible pulpitis cases and the development of minimally invasive procedures to enhance patient outcomes. Dr. Yılmaz has contributed significantly to research on the mechanical properties of endodontic instruments, optimizing their efficiency and durability. He is skilled in in-vitro studies, Scanning Electron Microscopy (SEM) analysis, and clinical trials, ensuring a scientific approach to endodontic advancements. His studies on apical debris extrusion, antimicrobial efficacy, and root canal filling materials have provided valuable insights into modern dental practices. With extensive experience in academic publishing, grant writing, and postgraduate supervision, Dr. Yılmaz continues to push the boundaries of endodontic research, enhancing the quality and effectiveness of contemporary dental treatments.

📖Publication Top Notes

  1. The Effect of Novel Cryotherapy Technique on Postoperative Pain for Pulpotomy in Permanent Molars with Symptomatic Irreversible Pulpitis: A Randomized Controlled Trial
  2. Influence of Sonic Activation of Epoxy-Resin and Calcium Silicate Sealer on Postoperative Pain: A Patient-Blinded, Parallel Group, Randomized Clinical Trial
  3. Postoperative Pain After Total Pulpotomy and Root Canal Treatment in Mature Molars According to the New and Traditional Classifications of Pulpitis: A Prospective, Randomized Controlled Trial
    • Author(s): Merve Sarı, Koray Yılmaz, Taha Özyürek
    • Citation: BMC Oral Health, 2024-09-12
    • Year: 2024
    • DOI: 10.1186/s12903-024-04836-z
  4. Association Between Eye Color and Postoperative Pain in Female Patients With Symptomatic Irreversible Pulpitis in Mandibular Molars: A Prospective, Parallel‐Group, Observational Study
    • Author(s): Merve Sarı, Koray Yılmaz, Massimiliano Valeriani
    • Citation: Pain Research and Management, 2024-01
    • Year: 2024
    • DOI: 10.1155/2024/8824366
  5. Pull-Out Retentive Resistance of Fiber Posts Restored with Different Core Materials
    • Author(s): Can Topkara, Koray Yılmaz, Mustafa Gündoğar, Gülşah Uslu, Taha Özyürek
    • Citation: Meandros Medical and Dental Journal, 2022-06-01
    • Year: 2022
    • DOI: 10.4274/meandros.galenos.2021.03274
  6. Comparison of the Efficacy of Sonic Irrigation and Conventional Syringe Irrigation in the Removal of Curcumin and Triple Antibiotic Paste from Root Canals
    • Author(s): Mehmet Adigüzel, Koray Yilmaz, İsmail İlker Pamukçu
    • Citation: Journal of Dental Research, Dental Clinics, Dental Prospects, 2021-08-25
    • Year: 2021
    • DOI: 10.34172/joddd.2021.027
  7. The Effect of Rotation Speed of XP-endo Shaper on Apically Extruded Debris During Endodontic Procedures: An In Vitro Study
    • Author(s): Koray Yılmaz, Pelin Tüfenkçi
    • Citation: Odovtos – International Journal of Dental Sciences, 2021-08-20
    • Year: 2021
    • DOI: 10.15517/ijds.2021.47147
  8. Effects of the Endodontic Access Cavity on Apical Debris Extrusion During Root Canal Preparation Using Different Single-File Systems
    • Author(s): Pelin Tüfenkçi, Koray Yılmaz, Mehmet Adigüzel
    • Citation: Restorative Dentistry & Endodontics, 2020
    • Year: 2020
    • DOI: 10.5395/rde.2020.45.e33
  9. The Influence of Different Irrigation Solutions on the Color Stability of Several Calcium Silicate–Based Materials
    • Author(s): Koray YILMAZ, Pelin TÜFENKÇİ, Mehmet ADIGÜZEL
    • Citation: Selcuk Dental Journal, 2020-04-01
    • Year: 2020
    • DOI: 10.15311/selcukdentj.488379
  10. The Effects of Different Endodontic Access Cavity Design and Using XP-endo Finisher on the Reduction of Enterococcus faecalis in the Root Canal System

 

Prabhat Patel | Engineering | Best Researcher Award

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Dr. Prabhat Patel | Engineering | Best Researcher Award

Dr. Prabhat Patel, Harbin Institute of Technology Shenzhen, China, India

Dr. Prabhat Kumar Patel is a dedicated researcher and Postdoctoral Fellow at the School of Science, Harbin Institute of Technology, Shenzhen, China. With a strong background in Environmental and Civil Engineering, he specializes in water and wastewater treatment, biopolymer synthesis, and heavy metal remediation. Holding a Ph.D. from IIT Guwahati, he has contributed significantly to the field through numerous high-impact publications and international collaborations. Dr. Patel has also mentored graduate students, guiding them in research projects related to urban wastewater recycling, pollutant adsorption, and sustainable environmental practices. His expertise extends to machine learning applications for air quality prediction. Recognized for his innovative approach, Dr. Patel has received accolades for his research contributions. His professional journey is driven by a passion for sustainable solutions to environmental challenges, making him a prominent figure in the field of environmental engineering and advanced material science.

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Suitability of Summary for Best Researcher Awards

Dr. Prabhat Kumar Patel is a strong candidate for the Research for Best Researcher Award based on his extensive research contributions, mentoring experience, and academic credentials. His expertise in environmental engineering, particularly in water and wastewater treatment, bio-polymer derivatives, and heavy metal remediation, is evident from his doctoral research and numerous publications in high-impact journals. His ongoing postdoctoral research at Harbin Institute of Technology further solidifies his commitment to advancing environmental science.

His publication record demonstrates a strong research impact, with multiple articles indexed in Science Citation Index Expanded (SCIE) and Scopus. His studies focus on adsorption-based removal of pollutants, an area of growing global importance. The high number of citations, H-index, and i10-index indicate his research’s influence in the field. Additionally, his active participation in conferences, editorial roles, and contributions to book chapters further emphasize his dedication to knowledge dissemination.

🎓 Education 

Dr. Prabhat Kumar Patel has a distinguished academic background in environmental and civil engineering. He is currently pursuing a Postdoctoral Fellowship at Harbin Institute of Technology, Shenzhen, China. He earned his Ph.D. in Environmental Science from the Indian Institute of Technology Guwahati in 2023, focusing on bio-polymer derivatives for wastewater treatment. Prior to that, he completed his M.Tech in Environmental Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, in 2017 with an impressive CGPA of 8.65. His academic journey began with a B.Tech in Civil Engineering from Noida Institute of Engineering and Technology, where he graduated with 81.2% in 2014. His strong foundation in science and engineering was established through his Higher Secondary (65%) and Secondary (78.6%) education under the Uttar Pradesh Board. His academic credentials reflect his commitment to sustainable environmental research and technological advancements.

💼 Professional Experience 

Dr. Prabhat Kumar Patel has extensive experience in both academia and research. He served as an Assistant Professor at the Institute of Engineering and Technology, Lucknow, from August 2023 to July 2024. Previously, he was a Guest Lecturer at the same institute in 2018. As a Teaching Assistant during his Ph.D., he contributed to courses on Environmental Engineering, Air Pollution, and Solid Waste Management. He has also been an active student mentor under the Rashtriya Avishkar Abhiyan, guiding students in environmental research projects. Additionally, Dr. Patel has editorial experience, having assisted in publishing books on biodiversity conservation and agro-processing technologies. His work involves coordinating online classes, organizing workshops, and mentoring students on projects related to wastewater treatment, adsorption techniques, and sustainability. His role in research and education highlights his dedication to advancing environmental engineering solutions.

🏅 Awards and Recognition 

Dr. Prabhat Kumar Patel has received numerous accolades for his contributions to environmental science and engineering. His research on chitosan-based adsorbents for wastewater treatment has earned recognition in high-impact journals. He was awarded research fellowships and travel grants for presenting his work at international conferences. He has been recognized by institutions such as IIT Guwahati and MNNIT Allahabad for his excellence in environmental engineering research. His mentorship of students in sustainable water treatment projects has also been acknowledged. Additionally, Dr. Patel has contributed as an editorial assistant to scientific publications on biodiversity and food processing. His contributions to the field, including innovative applications of machine learning in air quality prediction, have been cited extensively. His growing citation indices (H-index: 6, i10-index: 6) reflect his research impact, making him a notable figure in the domain of sustainable environmental engineering.

🌍 Research Skills On Engineering

Dr. Prabhat Kumar Patel possesses a diverse range of research skills in environmental science and engineering. His expertise lies in synthesizing biopolymer derivatives for adsorptive removal of pollutants, including dyes, heavy metals, and noble metals from industrial wastewater. He has worked extensively on the development of low-cost adsorbents and the treatment of urban wastewater streams. His research extends to machine learning applications for air quality prediction and environmental data analysis. Dr. Patel has also conducted techno-economic assessments of sustainable environmental technologies. His ability to integrate computational modeling with experimental research has enhanced his contributions to sustainable water treatment methodologies. His skills include advanced spectroscopic characterization, adsorption kinetics modeling, and environmental impact assessment. His proficiency in coordinating interdisciplinary research projects has made him a valuable contributor to environmental sustainability initiatives globally.

📖 Publication Top Notes

  • Title: Adsorptive removal of Zn, Fe, and Pb from Zn dominant simulated industrial wastewater solution using polyvinyl alcohol grafted chitosan variant resins
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: 63
    Year: 2023
  • Title: Highly effective removal of multi-heavy metals from simulated industrial effluent through an adsorption process employing carboxymethyl-chitosan composites
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: 28
    Year: 2024
  • Title: Synthesized carboxymethyl-chitosan variant composites for cyclic adsorption-desorption based removal of Fe, Pb, and Cu
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: 22
    Year: 2023
  • Title: Cyclic desorption based efficacy of polyvinyl alcohol-chitosan variant resins for multi heavy-metal removal
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: 21
    Year: 2023
  • Title: Batch adsorption characteristics of Dowex Marathon MSA commercial resin for Au (III) removal from synthetic electroless plating solutions
    Authors: PK Patel, S Nagireddi, RVS Uppaluri, LM Pandey
    Citation Count: 21
    Year: 2022
  • Title: Multi-metal Adsorption and Cyclic Desorption Characteristics of Zn²⁺ and Cu²⁺ Constituting Multi-component Synthetic Wastewater System Using Commercial Sorbents
    Authors: PK Patel, LM Pandey, R Uppaluri
    Citation Count: 11
    Year: 2022
  • Title: Cyclic adsorption and desorption characteristics of citric acid-chitosan variant resins for Pb, Fe, and Zn removal from simulated mining and agricultural wastewater system
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: 5
    Year: 2024
  • Title: Evaluation of a triethylenetetramine-chitosan derivative for the removal of palladium ion from an intricate adsorbate system
    Authors: S Nagireddi, PK Patel, AK Golder, RVS Uppaluri
    Citation Count: 2
    Year: 2025
  • Title: Adsorption of emerging pollutants utilizing chitosan derivatives: Recent advances and future perspective
    Authors: PK Patel, RVS Uppaluri
    Citation Count: N/A
    Year: 2025
  • Title: Conceptual techno-economic analysis of chitosan derivative resin and commercial sorbents for multi-heavy metal removal
    Authors: PK Patel, LM Pandey, RVS Uppaluri
    Citation Count: N/A
    Year: 2025

Muhammad Iqbal Hussain | Physics | Best Researcher Award

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Mr. Muhammad Iqbal Hussain | Physics | Best Researcher Award

Mr. Muhammad Iqbal Hussain, University of Education, Lahore, Pakistan

Dr. Muhammad Iqbal Hussain is an accomplished physicist and educator with a strong background in condensed matter physics and optoelectronic applications. Born on April 1, 1981, in Muzaffar Garh, Pakistan, he has dedicated his career to research, teaching, and academic administration. Currently serving as a Lecturer at the University of Education, Lahore (Multan Campus), Dr. Hussain has made significant contributions to the field through his research on perovskite materials and quantum optics. His academic excellence is reflected in his first-class academic record and his active role in supervising MS and BS research projects. Additionally, he has held key administrative positions, contributing to academic policy and institutional development. With expertise in computational physics and structural analysis, Dr. Hussain continues to advance knowledge in physics while mentoring the next generation of scientists.

Professional Profile

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Summary of Suitability for the Award

Muhammad Iqbal Hussain is a well-qualified and dedicated researcher in the field of Physics, particularly in Condensed Matter Physics and Optoelectronic Applications. His academic journey includes an MSc in Industrial Electronics, an MPhil in Physics, and a PhD (submitted) focusing on Perovskite Materials for Optoelectronic Applications. His strong academic background, coupled with his commitment to scientific research, makes him a strong contender for the Research for Best Researcher Award.

His research contributions include supervision of multiple BS and MS theses related to computational and optoelectronic properties of perovskites, which are pivotal in modern material science and energy applications. His teaching experience at the University of Education, Lahore, spans a range of physics disciplines, from Quantum Mechanics and Electrodynamics to Computational Physics and Thermodynamics, demonstrating his breadth of expertise and ability to mentor students in high-level physics research.

🎓 Education

Dr. Muhammad Iqbal Hussain holds an impressive academic background in physics. He completed his Secondary School Certificate at Govt. High School, Gourmani, securing first division. He then pursued an F.Sc. in Pre-Engineering from Govt. Degree College Muzaffar Garh. His higher education journey continued with a B.Sc. in Physics and Mathematics, followed by an MSc in Physics with a specialization in Industrial Electronics from Bahauddin Zakariya University (BZU), Multan. Excelling in quantum mechanics and electronics, he secured second place in his MSc batch. He further advanced his studies with an M.Phil. in Physics from COMSATS Institute of Information Technology, specializing in quantum optics and plasma physics. His doctoral research at BZU focused on the first-principles study of perovskite materials for optoelectronic applications. His strong academic record and research focus highlight his dedication to advancing physics through both theoretical and applied research.

💼 Professional Experience

Dr. Muhammad Iqbal Hussain has amassed extensive experience in both teaching and administration. Since 2017, he has been a Lecturer in the Department of Physics at the University of Education, Lahore (Multan Campus), where he teaches physics courses at the BS and MSc levels and supervises research projects. His administrative expertise includes roles such as Deputy Director (Management) and Assistant Director at the university’s Registrar’s Office, handling faculty appointments, academic policies, and high-level committee meetings. Additionally, he served as an Administrative Officer, overseeing faculty development programs and PhD-related matters. His leadership extends to coordinating sports and security at the university. With a keen focus on integrating research and academia, Dr. Hussain’s experience reflects his commitment to fostering scientific inquiry, institutional growth, and student mentorship in the field of physics.

🏅 Awards and Recognition 

Dr. Muhammad Iqbal Hussain’s academic journey is marked by numerous accolades. He secured second position in MSc Physics at Bahauddin Zakariya University, Multan, demonstrating his excellence in quantum mechanics and industrial electronics. Throughout his academic career, he has consistently achieved first-class distinctions, except for his F.Sc. His contributions to academia are further recognized through his membership in the Board of Studies at the University of Education, Lahore. His dedication to research has been acknowledged through invitations to supervise M.Phil. and BS theses, particularly in computational physics and condensed matter studies. His administrative skills have also been recognized through his leadership roles, including Deputy Director and Assistant Director at the university’s Registrar’s Office. His reputation as a dedicated educator, researcher, and administrator makes him a distinguished figure in the academic and scientific community.

🌍 Research Skills On Physics

Dr. Muhammad Iqbal Hussain possesses advanced research skills in computational physics, condensed matter physics, and optoelectronic materials. His expertise lies in Density Functional Theory (DFT) simulations, first-principles calculations, and structural analysis of perovskite materials for energy applications. His M.Phil. research focused on entangled coherent states and quantum optics, while his PhD research explored the optoelectronic properties of perovskite materials. He has supervised multiple BS and MS research projects involving ab-initio studies of ternary perovskites and energy-harvesting materials. Dr. Hussain is proficient in programming languages and software tools for physics simulations, enabling him to conduct high-precision computational studies. His research output includes publications in high-impact journals, reflecting his contributions to advancing material science and photonics. His ability to integrate theoretical and applied physics makes him a key contributor to modern scientific advancements.

📖 Publication Top Notes

  • Title: Investigations of structural, electronic and optical properties of TM-GaO₃ (TM= Sc, Ti, Ag) perovskite oxides for optoelectronic applications: a first principles study
    • Authors: Muhammad Iqbal Hussain, R. M. Arif Khalil, Fayyaz Hussain, Muhammad Imran, Anwar Manzoor Rana, Sungjun Kim
    • Journal: Materials Research Express
    • Volume: 7
    • Issue: 1
    • Article Number: 015906
    • Year: 2020
    • Citations: 65
  • Title: DFT based first principles study of novel combinations of perovskite‐type hydrides XGaH₃ (X= Rb, Cs, Fr) for hydrogen storage applications
    • Authors: R. M. Arif Khalil, Saba Hayat, Muhammad Iqbal Hussain, Anwar Manzoor Rana, Fayyaz Hussain
    • Journal: AIP Advances
    • Volume: 11
    • Issue: 2
    • Year: 2021
    • Citations: 64
  • Title: First-principles investigations of the structural, optoelectronic, magnetic and thermodynamic properties of hydride perovskites XCuH₃ (X= Co, Ni, Zn) for hydrogen storage
    • Authors: Saba Hayat, R. M. Arif Khalil, Muhammad Iqbal Hussain, Anwar Manzoor Rana, Fayyaz Hussain
    • Journal: Optik
    • Volume: 228
    • Article Number: 166187
    • Year: 2021
    • Citations: 58
  • Title: Investigations of structural, electronic and optical properties of YInO₃ (Y= Rb, Cs, Fr) perovskite oxides using mBJ approximation for optoelectronic applications: a first principles study
    • Authors: Muhammad Iqbal Hussain, R. M. Arif Khalil, Fayyaz Hussain, Muhammad Imran, Anwar Manzoor Rana, Sungjun Kim
    • Journal: Materials Science in Semiconductor Processing
    • Volume: 113
    • Article Number: 105064
    • Year: 2020
    • Citations: 53
  • Title: A DFT study of perovskite type halides KBeBr₃, RbBeBr₃, and CsBeBr₃ in triclinic phase for advanced optoelectronic devices
    • Authors: Saba Hayat, R. M. Arif Khalil, Muhammad Iqbal Hussain, Anwar Manzoor Rana, Fayyaz Hussain
    • Journal: Solid State Communications
    • Volume: 344
    • Article Number: 114674
    • Year: 2022
    • Citations: 44
  • Title: DFT‐based insight into the magnetic and thermoelectric characteristics of XTaO₃ (X = Rb, Fr) ternary perovskite oxides for optoelectronic applications
    • Authors: Muhammad Iqbal Hussain, R. M. Arif Khalil, Fayyaz Hussain, Anwar Manzoor Rana
    • Journal: International Journal of Energy Research
    • Volume: 45
    • Issue: 2
    • Pages: 2753-2765
    • Year: 2021
    • Citations: 40
  • Title: Computational exploration of structural, electronic, and optical properties of novel combinations of inorganic Ruddlesden–Popper layered perovskites Bi₂XO₄ (X= Be, Mg) using first principles
    • Authors: Muhammad Iqbal Hussain, R. M. Arif Khalil, Fayyaz Hussain
    • Journal: Energy Technology
    • Volume: 9
    • Issue: 5
    • Article Number: 2001026
    • Year: 2021
    • Citations: 39
  • Title: Probing the structural, electronic, mechanical strength and optical properties of tantalum-based oxide perovskites ATaO₃ (A= Rb, Fr) for optoelectronic applications: First principles study
    • Authors: Muhammad Iqbal Hussain, R. M. Arif Khalil, Fayyaz Hussain, Anwar Manzoor Rana, Ghulam Murtaza, Muhammad Imran
    • Journal: Optik
    • Volume: 219

Novfa Iftikhar | ENT | Best Researcher Award

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Dr. Novfa Iftikhar | ENT | Best Researcher Award

Dr. Novfa Iftikhar, Government Medical college, Srinagar, J&K, India

Dr. Arsheed Hakeem is a dedicated medical professional with a strong foundation in otorhinolaryngology and a commitment to advancing patient care. A graduate of Government Medical College Srinagar (GMC), he has demonstrated exceptional skills in clinical diagnosis, surgical assistance, and community health initiatives. His leadership roles, including serving as House Captain and mentoring young scholars, reflect his ability to inspire and guide others. Dr. Hakeem’s involvement in diabetes awareness programs and child health screenings highlights his dedication to preventive healthcare. With hands-on experience in surgery, dermatology, anesthesiology, and maternal healthcare, he continues to refine his expertise across various medical disciplines. His research contributions, particularly in rare head and neck tumors, underscore his commitment to medical innovation. Passionate about lifelong learning and patient welfare, Dr. Hakeem seeks to make a lasting impact in the field of ENT, combining clinical excellence with a drive for public health awareness.

Professional Profile

Scopus

Summary of Suitability for the Research for Best Researcher Award

The candidate is a dedicated medical professional with a strong academic background, having recently completed an MBBS from Government Medical College Srinagar. Their commitment to research is evident through multiple published case reports and book chapters, focusing on rare medical conditions, particularly in oncology and surgical techniques. These contributions highlight a keen interest in advancing medical knowledge and patient care.

Beyond academic achievements, the candidate has an impressive array of leadership and volunteer experiences. Their involvement in community health initiatives, diabetes awareness campaigns, and child health screenings demonstrates a deep commitment to public health. Additionally, mentoring roles in educational programs reflect a dedication to knowledge dissemination and guiding future professionals.

🎓 Education 

Dr. Arsheed Hakeem completed his MBBS from Government Medical College Srinagar (GMC) in December 2023, where he developed a strong academic foundation in medicine. His education was marked by rigorous training in human anatomy, physiology, pathology, pharmacology, and clinical practice. He actively participated in Continuing Medical Education (CME) programs to enhance his medical knowledge and stay updated with advancements in healthcare. During his medical studies, he engaged in multiple community health initiatives, gaining firsthand experience in rural healthcare and public health interventions. His academic excellence, combined with leadership roles, prepared him for a dynamic career in medicine. His training covered a broad spectrum of medical disciplines, including surgery, dermatology, and emergency care, allowing him to develop a well-rounded skill set. Dr. Hakeem’s educational journey has been defined by his passion for learning, research, and clinical practice, making him a promising professional in the field of otorhinolaryngology.

💼 Professional Experience

Dr. Arsheed Hakeem is currently an intern at Government Medical College Srinagar, where he has gained extensive clinical experience across various specialties. His rotations have included working at urban and primary health centers, sub-district hospitals, and tertiary care facilities. His expertise spans general surgery, dermatology, anesthesiology, maternal healthcare, and emergency medicine. Dr. Hakeem has assisted in surgical procedures, managed outpatient consultations, and provided primary care services in underserved communities. His work at Shri Maharaja Hari Singh Hospital included managing emergency cases, assisting in dermatological procedures, and supporting anesthesia teams in critical cases. Beyond hospital settings, he has been actively involved in community medicine, participating in diabetes awareness programs, family planning initiatives, and pediatric health screenings. His hands-on experience in both hospital and community healthcare settings has provided him with a well-rounded clinical perspective. His dedication to improving patient care and contributing to medical research sets him apart as a future leader in ENT.

🏅 Awards and Recognition 

Dr. Arsheed Hakeem has received numerous accolades for his academic, leadership, and extracurricular achievements. He was awarded the prestigious Fellowship in the Kashmir Scholars Pathway Program at the University at Buffalo (2024-2025), reflecting his commitment to scholarly excellence. His leadership skills were evident as House Captain of Haramukh House at The Kashmir Valley School, where he led his team to multiple victories, including the Best House Trophy and Gold Trophy (2015). In recognition of his dedication to youth development, he earned the Bronze Medal from the International Award for Young People (IAYP) in 2014. His sportsmanship was highlighted when he secured the Silver Trophy in Kho-Kho (2015). Additionally, he played a key role in various community service initiatives, including mentoring programs and health awareness campaigns. These awards underscore his exceptional leadership, teamwork, and dedication to both academics and social service.

🌍 Research Skills On ENT

Dr. Arsheed Hakeem possesses strong research skills, particularly in otorhinolaryngology and oncology. He has contributed to case studies on rare head and neck tumors, including mesenchymal chondrosarcoma and biphasic synovial sarcoma, showcasing his analytical abilities and dedication to advancing medical knowledge. His research approach is methodical, involving in-depth literature reviews, clinical observations, and collaborative studies. Dr. Hakeem is proficient in academic writing and has authored book chapters on skull base surgery and extended orbital exenteration, highlighting his expertise in surgical research. His ability to critically evaluate medical cases, compile detailed reports, and contribute to peer-reviewed publications sets him apart as a promising researcher. His work in pediatric and head & neck oncology demonstrates his commitment to addressing complex medical challenges. With a keen interest in evidence-based practice and clinical innovation, Dr. Hakeem continues to explore new frontiers in ENT and surgical advancements.

📖 Publication Top Notes

  • Non-Functioning Vagal Paraganglioma in the Infrahyoid Neck: A Case Report
    • Authors: Hussain Hakeem A., Iftikhar N., Modi T.
    • Year: 2024
    • Citation: Hakeem, A.H., Iftikhar, N., & Modi, T. (2024). Non-Functioning Vagal Paraganglioma in the Infrahyoid Neck: A Case Report. Indian Journal of Otolaryngology and Head and Neck Surgery.
  • Unusual Migration of Bullet from the Right Scalp to Left Pyriform Fossa
    • Authors: Hakeem A.H., Iftikhar N., Ali I.
    • Year: 2024
    • Citation: Hakeem, A.H., Iftikhar, N., & Ali, I. (2024). Unusual Migration of Bullet from the Right Scalp to Left Pyriform Fossa. Indian Journal of Otolaryngology and Head and Neck Surgery.

Arsheed Hakeem | Medicine | Best Researcher Award

Published on by Academic Excellence

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Dr. Arsheed Hakeem, Apollo Cancer Institute, India

Dr. Arsheed Husain Hakeem is a highly experienced Head and Neck Oncologist with over 19 years of expertise in the field. He holds an MBBS, MS (ENT), DNB (ENT), and FHNS. His extensive training includes transoral robotic surgery at the University of Pennsylvania, USA, and head and neck oncology fellowships at the National Cancer Center, Tokyo, and Prince Aly Khan Hospital, Mumbai. Dr. Hakeem has significantly contributed to the development of head and neck oncology as a sub-specialty in India. He specializes in transoral CO2 laser microsurgery, endoscopic skull base surgery, and conservative laryngeal surgeries. With more than 65 research publications, he has actively participated in national and international conferences, presenting pioneering work in oncology. Currently serving as Head of the Neck Oncology Unit at Apollo Cancer Institute, Hyderabad, Dr. Hakeem is committed to advancing oncological treatments and training future specialists in the field.

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Suitability for the Research for Best Researcher Award – Dr. Arsheed Husain Hakeem

Dr. Arsheed Husain Hakeem is a distinguished head and neck oncologist and surgeon with an extensive career spanning over nineteen years. His expertise in transoral robotic surgery, CO2 laser microsurgery, and conservative head and neck cancer treatments demonstrates a profound impact on the field. Trained under globally renowned experts like Prof. Gregory Weinstein (University of Pennsylvania) and Prof. Riuchi Hayashi (National Cancer Center, Tokyo), Dr. Hakeem has acquired specialized skills that have contributed to advancements in oncological surgery.

His significant research contributions include 65+ publications in reputed international and national journals, reflecting his commitment to evidence-based practice and medical innovation. He has also presented research work at various national and international forums, further solidifying his influence in the academic and clinical research communities. Additionally, his efforts in establishing head and neck oncology as a subspecialty in prestigious medical institutions like LMT and BYL Nair Municipal Medical Colleges in Mumbai underscore his dedication to the growth of medical education and training.

🎓 Education 

Dr. Arsheed Husain Hakeem’s educational journey is marked by rigorous academic training and specialized fellowships in head and neck oncology. He earned his MBBS degree before pursuing an MS in ENT and a Diplomate of National Board (DNB) in ENT. Further refining his expertise, he completed a Fellowship in Head and Neck Surgery (FHNS). To enhance his surgical skills, he trained in transoral robotic surgery under Prof. Gregory Weinstein at the University of Pennsylvania, USA. His global exposure continued with a head and neck oncology fellowship at the National Cancer Center, Tokyo, Japan, and another at Prince Aly Khan Hospital, Mumbai. Additionally, he has undergone specialized training in CO2 laser and laryngotracheal framework surgeries under Prof. Phillip Monnier in Lausanne, Switzerland. This extensive educational background has solidified his expertise in innovative surgical techniques and oncological treatments, making him a leading figure in the field.

💼 Professional Experience 

Dr. Arsheed Husain Hakeem has accumulated nearly two decades of experience in head and neck oncology. Currently, he leads an independent unit at Apollo Cancer Institute, Hyderabad, where he specializes in oncological surgeries. Previously, he served as a Senior Consultant and Unit Head at Lakeshore Hospital and Research Center, Kochi. His career also includes tenure as a consultant at Prince Aly Khan Hospital, Mumbai, where he actively trained DNB surgical oncology candidates. As a visiting faculty at BYL Nair Hospital and LTMG Medical College, he played a crucial role in establishing head and neck oncology departments. He has been involved in various national and international clinical observerships, including one at the University of Pennsylvania. Dr. Hakeem has also coordinated workshops on laryngotracheal framework surgery, training ENT specialists and surgical oncologists. His expertise extends to reconstructive microvascular techniques, further enriching his contributions to the field.

🏅 Awards and Recognition

Dr. Arsheed Husain Hakeem’s contributions to oncology have earned him multiple accolades. He has been recognized for pioneering transoral robotic and CO2 laser microsurgeries in India. His extensive research has led to over 65 publications in top-tier international and national journals, solidifying his status as a thought leader in the field. He has presented groundbreaking research at prestigious forums worldwide, gaining recognition for his work in mandible-preserving surgeries and endoscopic skull base procedures. Dr. Hakeem has played an instrumental role in establishing head and neck oncology as a sub-specialty in India, earning appreciation from medical institutions and government bodies. He has also received honors for his contributions to medical education, mentoring postgraduates and surgical oncology candidates. His expertise in minimally invasive oncological procedures has positioned him as a leading figure in the fight against head and neck cancers, both nationally and internationally.

🌍 Research Skills On Medicine

Dr. Arsheed Husain Hakeem is a prolific researcher with a specialized focus on head and neck oncology. His research encompasses transoral robotic surgery, CO2 laser microsurgery, and conservative laryngeal surgeries. With over 65 publications in reputed journals, he has significantly contributed to advancements in minimally invasive cancer treatments. His studies on mandible-preserving surgeries and microvascular reconstruction have influenced modern surgical approaches. He has collaborated with global experts in oncology, refining techniques in endoscopic skull base surgery. Dr. Hakeem actively mentors research candidates, guiding them in thesis development and clinical trials. His involvement in translational research aims to bridge the gap between laboratory findings and clinical applications. His commitment to evidence-based medicine is reflected in his participation in peer reviews and editorial boards of medical journals. His research continues to drive innovation in head and neck oncology, improving patient outcomes worldwide.

📖 Publication Top Notes

  • Significance of anterior commissure involvement in early glottic squamous cell carcinoma treated with trans‐oral CO₂ laser microsurgery
    • Authors: AH Hakeem, J Tubachi, SA Pradhan
    • Citation: 102
    • Year: 2013
  • Primary pleomorphic adenoma of minor salivary gland in the parapharyngeal space
    • Authors: AH Hakeem, B Hazarika, SA Pradhan, R Kannan
    • Citation: 69
    • Year: 2009
  • Outcome of per oral wide excision of T1‐2 N0 localized squamous cell cancer of the buccal mucosa—analysis of 156 cases
    • Authors: AH Hakeem, SA Pradhan, J Tubachi, R Kannan
    • Citation: 28
    • Year: 2013
  • Juvenile Ossifying Fibroma of Paranasal Sinuses—Do We Need to Be Radical in Surgery?
    • Authors: AH Hakeem, IH Hakeem
    • Citation: 13
    • Year: 2013
  • Premalignant lesions of the larynx and their management
    • Authors: AH Hakeem, IH Hakeem, SA Pradhan
    • Citation: 13
    • Year: 2010
  • Single-stage reconstruction of large defect of oral commissure and lips by submental artery island flap
    • Authors: WFJ Hakeem AH, Hakeem IH
    • Citation: 13*
    • Year: Not provided
  • Clinical outcome of surgical treatment of T1-2 N0 squamous cell carcinoma of oral tongue with observation for the neck: Analysis of 176 cases
    • Authors: AH Hakeem, SA Pradhan, R Kannan, J Tubachi
    • Citation: 11
    • Year: 2016
  • Surgical management of parapharyngeal abscess
    • Authors: J Tubachi, A Hakeem, DC Pradeep, P Nayak
    • Citation: 11
    • Year: 2012
  • Rehabilitation after total laryngectomy
    • Authors: AH Hakeem, IH Hakeem, A Garg
    • Citation: 11
    • Year: 2011
  • Riedel’s thyroiditis mimicking as anaplastic thyroid carcinoma: unusual presentation
    • Authors: AH Hakeem, SK Chandramathyamma, IH Hakeem, FJ Wani, R Gomez
    • Citation: 10
    • Year: 2016