Abhishek Saxena | Engineering | Best Faculty Award

Posted on 08/05/202508/05/2025 by Academic Excellence

Dr. Abhishek Saxena | Engineering | Best Faculty Award

Dr. Abhishek Saxena, ITM University, Gwalior India

Dr. Abhishek Saxena is an accomplished academic leader and researcher in the field of electrical engineering, specializing in power systems and optimization. With a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal, Dr. Saxena has contributed significantly to the academic community through his work at ITM University, Gwalior. He is a recognized expert in the areas of restructured power systems and optimization methodologies, holding an international patent for his work in real-time computing and power management. His passion for education is reflected in his teaching roles and leadership, aiming to foster innovation and excellence. With a dedication to advancing knowledge in power systems, Dr. Saxena continues to guide and mentor students, researchers, and professionals in the field.

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Suitability for the "Research for Best Faculty Award" – Dr. Abhishek Saxena

Dr. Abhishek Saxena demonstrates exceptional academic and professional contributions that make him highly suitable for the "Research for Best Faculty Award." His vast body of work, which includes a Ph.D. in Electrical Engineering, several years of teaching experience, numerous published journal papers, conference papers, and a recent international patent, highlights his dedication to research excellence. As an Assistant Professor at ITM University since 2012, he has continually worked towards advancing the academic standards in the field of Electrical Engineering, particularly in Restructured Power Systems and Power System Optimization.

Dr. Saxena's research output is both diverse and significant. He has contributed extensively to peer-reviewed journals and conferences, with notable papers in highly regarded publications, such as Cogent Engineering and the International Journal of Electrical Engineering and Technology. His expertise in optimizing power markets and electricity pricing, demonstrated in his work on "Wheeling Prices" and "Congestion Management in Open Access Power," is cutting-edge. He has also been recognized for his innovative approach with the 2013 Best Researcher Award from ITM University and an international patent in 2024 for his innovation in real-time computing and power management.

Education

Dr. Abhishek Saxena holds a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal (2025). He earned his M.E. in Industrial Systems and Drives from Madhav Institute of Technology and Science, Gwalior (2009), where he developed expertise in electrical systems. He completed his B.E. in Electrical Engineering from Maharana Pratap College of Technology, Gwalior (2006). His academic journey reflects a commitment to deepening his knowledge and advancing his research interests in restructured power systems and power optimization. Dr. Saxena's robust educational foundation has enabled him to make significant contributions to both academia and industry, fostering advancements in power systems and optimization.

Professional Experience

Dr. Saxena's professional career spans various roles in academia and industry. He is currently an Assistant Professor in the Electrical Engineering Department at ITM University, Gwalior, where he has been teaching since May 2012. Prior to this, he worked as a Lecturer at NRI Institute of Technology & Management, Gwalior (2008-2012). His professional experience also includes consulting as the Director of MMAH Online & Techno Key Private Limited, Gwalior since September 2023. His teaching experience is complemented by his contributions to research and innovation, particularly in power systems optimization. He has guided numerous students and collaborated on impactful research projects in the field of electrical engineering.

Awards and Recognition

Dr. Abhishek Saxena has received several accolades for his academic and research achievements. Notably, he was honored with the Best Researcher Award in 2013 at ITM University, Gwalior, acknowledging his contributions to the field of electrical engineering. He has also qualified for prestigious exams such as GATE 2008 in the Electrical stream and OpenMAT 2009 for MBA entrance with an 'A' grade. His achievements extend to his work on international patents, including an innovative system for real-time computing and power management. Dr. Saxena’s commitment to advancing research and education in the field of power systems continues to earn him recognition from peers and industry leaders alike.

Research Skill On Engineering

Dr. Saxena’s research skills are focused on power systems optimization, restructured power systems, and dynamic pricing methodologies. His expertise includes the application of advanced computational techniques such as genetic algorithms, artificial neural networks, and deep reinforcement learning to optimize power systems. Dr. Saxena has significantly contributed to the development of wheeling pricing models and transmission pricing methodologies. His research is characterized by a strong analytical approach and a commitment to practical, real-world solutions for energy systems. He has published extensively in reputed journals and presented his work at international conferences, highlighting his proficiency in addressing complex challenges in the power sector. Dr. Saxena’s work continues to influence both academic research and industrial applications in power systems and optimization.

Publication Top Notes

Title: Congestion management in open access—a review
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: International Journal of Science, Engineering and Technology Research, 2(4)
Citations: 14
Year: 2013
Title: Genetic algorithm based wheeling prices allocation for Indian power utility by using MVA-mile and MW-mile approaches
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2016 International Conference on Emerging Trends in Electrical Electronics
Citations: 11
Year: 2016
Title: DC-OPF based allocation of wheeling prices for varying contribution of producers and customers
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
Citations: 6
Year: 2016
Title: ALLOCATION OF OPTIMIZED WHEELING PRICES THROUGH TRACING IN COMPETITIVE POWER MARKET
Authors: A. Saxena, I.S.N. Pandey, I.L. Srivastava
Citation: International Journal of Electrical Engineering and Technology, 12(2), 151–170
Citations: 2
Year: 2021
Title: Assessment of Incremental Cost and Reinforcement Timing for Uncertain Future Generation and Demand in Competitive Power Market
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
Citations: 2
Year: 2020
Title: Wheeling Prices Methodology: A Review
Authors: A. Saxena, A. Tripathi
Citation: International Journal of Enhanced Research in Science, Technology & Engineering
Citations: 1
Year: 2014
Title: Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market
Authors: A. Saxena, S.N. Pandey, S. Dixit
Citation: Cogent Engineering, 11(1), 2340321
Citations: —
Year: 2024
Title: Wheeling Price Optimization And Allocation Using A Modified Rao-2 Algorithm In An Open Access Power Market Environment
Authors: S.D. Abhishek Saxena, Seema N. Pandey
Citation: NOVYI MIR Research Journal, 8(6), 61–71
Citations: —
Year: 2023
Title: Bacterial Foraging Particle Swarm Optimization based Wheeling Pricing Allocation through AF-mile and RF-mile approach
Authors: A. Saxena, S.N. Pandey, S. Dixit
Citation: 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
Citations: —
Year: 2023
Title: Genetic algorithm based wheeling prices assessment and allocation in hybrid power market
Authors: L.S. Abhishek Saxena, Seema N. Pandey
Citation: High Technology Letters, 27(2), 205–220
Citations: —
Year: 2021

Shagufta Riaz | Engineering | Women Researcher Award

Posted on 07/03/202507/03/2025 by Academic Excellence

Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

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Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

Awards and Recognition

Dr. Shagufta Riaz’s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

Publication Top Notes

Fabrication of robust multifaceted textiles by application of functionalized TiO₂ nanoparticles
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
- Citations: 95
- Year: 2019
Functional finishing and coloration of textiles with nanomaterials
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, …
- Citations: 77
- Year: 2018
Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
- Citations: 58
- Year: 2019
Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications
- Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, …
- Citations: 41
- Year: 2021
Cationization of TiO₂ nanoparticles to develop highly durable multifunctional cotton fabric
- Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
- Citations: 31
- Year: 2022
Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles
- Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
- Citations: 26
- Year: 2022
Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers
- Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, …
- Citations: 24
- Year: 2019
In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections
- Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
- Citations: 21
- Year: 2017
Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiO₂ Nanoparticles
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
- Citations: 20
- Year: 2021
Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology
- Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
- Citations: 16
- Year: 2018

Farzad Pashmforoush | Engineering | Best Researcher Award

Posted on 12/02/202512/02/2025 by Academic Excellence

Assoc. Prof. Dr. Farzad Pashmforoush | Engineering | Best Researcher Award

Assoc. Prof. Dr. Farzad Pashmforoush, University of Maragheh, Iran

Farzad Pashmforoush is a distinguished Associate Professor at the University of Maragheh, specializing in Mechanical Engineering. Born on July 31, 1987, he has dedicated his career to advancing research in composite materials, artificial intelligence, finite element methods, and non-destructive testing. His academic journey began at the University of Tabriz, where he ranked first in his Bachelor’s program. He continued his education at Amirkabir University of Technology, earning both his Master’s and PhD with exceptional grades. Dr. Pashmforoush’s contributions to the field are reflected in his extensive research on damage identification in composite structures, optimization techniques, and material characterization. With numerous high-impact publications, citations, and an h-index of 9, his work has influenced academia and industry alike. His passion for innovation and excellence has earned him significant recognition, making him a leading figure in mechanical engineering research.

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Suitability for the Research for Best Researcher Award – Farzad Pashmforoush

Dr. Farzad Pashmforoush is a distinguished researcher and academic with a strong background in mechanical engineering, particularly in areas such as composite materials, finite element method (FEM), artificial intelligence, fracture mechanics, and non-destructive testing (NDT). His academic journey reflects excellence at every level, securing top ranks during his Bachelor’s and Master’s degrees, followed by a high distinction PhD from Amirkabir University of Technology. His doctoral work on the numerical-experimental study of magnetic abrasive finishing of optical glass showcases innovative problem-solving abilities and a commitment to advancing material science and manufacturing techniques.

His research contributions are extensive and impactful, as evidenced by 26 high-quality journal publications in esteemed journals, over 400 citations, and an h-index of 9 on Google Scholar. His works span damage characterization in composite materials, deep learning for autonomous damage recognition, optimization techniques, and multiphysics simulations, demonstrating a multidisciplinary approach to mechanical engineering. Additionally, his application of artificial intelligence in non-destructive evaluation and advanced material testing methods showcases his ability to integrate cutting-edge technology into engineering research.

Education

Farzad Pashmforoush’s academic journey began at the University of Tabriz, where he completed his Bachelor of Science in Mechanical Engineering in 2009, ranking first with a grade of 18.86. He continued his education at Amirkabir University of Technology, earning a Master of Science in 2011, with a thesis on damage modes in composite materials, also achieving first rank. He further advanced his studies, obtaining a Ph.D. in Mechanical Engineering from the same university in 2015. His doctoral thesis focused on numerical-experimental studies of magnetic abrasive finishing of optical glass. Throughout his academic career, Farzad maintained an outstanding academic performance, receiving top grades and contributing to innovative research. His advanced training and in-depth knowledge of mechanical engineering have set the foundation for a successful academic and research career.

Professional Experience

Farzad Pashmforoush has had a distinguished academic career, with extensive experience as an Associate Professor in Mechanical Engineering at the University of Maragheh. He has taught and mentored students in advanced topics such as composite materials, non-destructive testing, and fracture mechanics. His research focuses on finite element methods, artificial intelligence applications in engineering, and composite material behavior. Farzad has also collaborated with international institutions on projects involving acoustic emission techniques for damage detection in composites and the optimization of manufacturing processes. His expertise in experimental mechanics, data analysis, and numerical modeling has resulted in numerous high-impact publications. As an educator and researcher, he is dedicated to advancing engineering technology while fostering the next generation of engineers through innovative teaching and research initiatives.

Awards and Recognition

Farzad Pashmforoush has received numerous accolades throughout his career for his outstanding contributions to mechanical engineering. He was recognized as a top graduate in both his undergraduate and graduate studies, receiving the first-rank distinction at both the University of Tabriz and Amirkabir University of Technology. His research on composite materials, non-destructive testing, and fracture mechanics has earned him high citation counts and recognition from peers in the academic community. Additionally, Farzad has been acknowledged for his role in advancing mechanical engineering research and education, earning grants and research funding for innovative projects. His excellence in teaching and research, along with his impactful publications, continues to shape the future of engineering education and practice.

Research Skills On Engineering

Farzad Pashmforoush possesses a broad range of research skills, making him a leading expert in his field. His proficiency in finite element methods (FEM) allows him to model and analyze complex engineering problems, particularly in the areas of composite materials and structural analysis. Farzad’s research integrates artificial intelligence techniques, such as deep learning, to enhance the evaluation and optimization of engineering processes. His extensive use of non-destructive testing (NDT) methods, particularly acoustic emission, enables him to study material behavior and detect damage in real-time. In addition, his expertise in fracture mechanics and damage detection provides valuable insights into the durability and performance of materials. Farzad’s approach combines theoretical analysis with experimental validation, ensuring the practical application of his research in industry. His innovative use of advanced technologies and methodologies has garnered widespread recognition in the engineering community.

Publication Top Notes

“Autonomous damage recognition in visual inspection of laminated composite structures using deep learning”
- Authors: S. Fotouhi, F. Pashmforoush, M. Bodaghi, M. Fotouhi
- Journal: Composite Structures
- Citation: 87
- Year: 2021
“Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering”
- Authors: M. Fotouhi, H. Heidary, M. Ahmadi, F. Pashmforoush
- Journal: Journal of Composite Materials
- Citation: 86
- Year: 2012
“Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithm”
- Authors: F. Pashmforoush, R. Khamedi, M. Fotouhi, M. Hajikhani, M. Ahmadi
- Journal: Journal of Nondestructive Evaluation
- Citation: 83
- Year: 2014
“Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithm”
- Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
- Journal: Journal of Reinforced Plastics and Composites
- Citation: 72
- Year: 2012
“Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission technique”
- Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
- Journal: Journal of Materials Engineering and Performance
- Citation: 66
- Year: 2012
“Influence of water-based copper nanofluid on wheel loading and surface roughness during grinding of Inconel 738 superalloy”
- Authors: F. Pashmforoush, R. D. Bagherinia
- Journal: Journal of Cleaner Production
- Citation: 64
- Year: 2018
“Monitoring the initiation and growth of delamination in composite materials using acoustic emission under quasi-static three-point bending test”
- Authors: M. Fotouhi, F. Pashmforoush, M. Ahmadi, A. Refahi Oskouei
- Journal: Journal of Reinforced Plastics and Composites
- Citation: 64
- Year: 2011
“Statistical analysis on free vibration behavior of functionally graded nanocomposite plates reinforced by graphene platelets”
- Authors: F. Pashmforoush
- Journal: Composite Structures
- Citation: 48
- Year: 2019
“Nano-finishing of BK7 optical glass using magnetic abrasive finishing process”
- Authors: F. Pashmforoush, A. Rahimi
- Journal: Applied Optics
- Citation: 42
- Year: 2015
“Interfacial characteristics and thermo-mechanical properties of calcium carbonate/polystyrene nanocomposite”
- Authors: F. Pashmforoush, S. Ajori, H. R. Azimi
- Journal: Materials Chemistry and Physics
- Citation: 27
- Year: 2020

Karthik K | Engineering | Best Researcher Award

Posted on 04/02/202504/02/2025 by Academic Excellence

Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

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Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

Education

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

Professional Experience

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

Publication Top Notes

Title: A deep neural network model for content-based medical image retrieval with multi-view classification
Authors: K Karthik, SS Kamath
Citation: 60
Year: 2021
Title: A hybrid feature modeling approach for content-based medical image retrieval
Authors: K Karthik, SS Kamath
Citation: 16
Year: 2018
Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
Citation: 13
Year: 2021
Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
Citation: 13
Year: 2021
Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
Authors: K Karthik, S Sowmya Kamath
Citation: 12
Year: 2023
Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
Authors: K Karthik, S Kamath
Citation: 12
Year: 2021
Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
Authors: K Karthik, SS Kamath, SU Kamath
Citation: 6
Year: 2020
Title: An automated robotic arm: a machine learning approach
Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
Citation: 5
Year: 2021
Title: Automated view orientation classification for x-ray images using deep neural networks
Authors: K Karthik, S Kamath
Citation: 3
Year: 2021
Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
Authors: R Kumar, K Karthik, SS Kamath
Citation: 3

Praveen Sankarasubramanian | Engineering | Best Researcher Award

Posted on 11/01/202511/01/2025 by Academic Excellence

Dr. Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian, RMD Research labs, India

Dr. Praveen Sankarasubramanian is a distinguished technologist and researcher with over 13 years of experience in software development, AI, cloud computing, and industrial safety. Currently, he serves as a Senior Software Developer at Pearson India Education Services, specializing in Java, Spring Boot, and AWS Cloud. Dr. Praveen is also the founder of RMD Research Labs, focusing on cutting-edge research in AI, NLP, and safety technologies. His academic expertise is complemented by a Ph.D. in Computer Science and Engineering from VELS University, an M.Tech. in Software Systems from Birla Institute of Technology and Science, and multiple certifications. Dr. Praveen has developed innovative solutions in various domains, including AI-driven safety mechanisms, cloud platforms, and personalized learning systems. His leadership, mentorship, and continuous drive for innovation have made a significant impact on both academic and industry landscapes.

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Education:

Dr. Praveen Sankarasubramanian’s academic journey reflects his dedication to excellence in technology and engineering. He earned a Ph.D. in Computer Science and Engineering from VELS University (March 2018 – August 2023), where he focused on AI, NLP, and cloud-based technologies. His M.Tech. in Software Systems from Birla Institute of Technology and Science, Pilani (2015-2017) provided a solid foundation in advanced software development techniques. Further expanding his expertise, Dr. Praveen completed an Advanced Diploma in Industrial Safety from Bharat Sevak Samaj (2017-2018). Additionally, he pursued a Post Graduate Program in Business Administration with a focus on operations from Symbiosis (2012-2014). His academic background equips him with a diverse skill set, enabling him to tackle complex problems in software engineering, AI, and industrial safety. This foundation has played a key role in his successful integration of theoretical knowledge with practical solutions.

Professional Experience:

Dr. Praveen Sankarasubramanian has extensive professional experience, having held leadership roles in major global tech companies. Currently, he is a Senior Software Developer at Pearson India Education Services, where he focuses on cutting-edge technologies such as Java, AWS Cloud, and Spring Boot. Before this, Dr. Praveen was a Senior Software Engineer at Cognizant, where he managed multiple projects in personalized learning and analytics. He oversaw a cross-functional team of 48 members and led seven parallel projects, successfully meeting organizational and project goals. Dr. Praveen’s experience also spans roles at Software AG, GlobalLogic, and 8K Miles Software Services, where he developed cloud-based systems and advanced data analytics solutions. As the founder of RMD Research Labs, he continues to lead research projects in AI and NLP. His career has consistently showcased his ability to merge leadership with technical innovation to drive impactful solutions in both academia and industry.

Research Skills:

Dr. Praveen Sankarasubramanian possesses a diverse and highly advanced skill set in research, combining expertise in artificial intelligence (AI), natural language processing (NLP), machine learning (ML), cloud computing, and industrial safety. His research work spans several impactful areas, such as developing AI-driven safety systems, optimizing cloud platforms, and advancing personalized learning solutions in education technology. Dr. Praveen has also contributed to bandwidth optimization for video solutions and AI for predictive maintenance. His interdisciplinary approach allows him to apply theoretical research to real-world challenges, resulting in the creation of patents and innovative software solutions. Additionally, he has honed his skills in project management, utilizing Agile, Scrum, and JIRA to lead research teams effectively. Dr. Praveen’s research has not only influenced the tech industry but also shaped academic curricula, through his mentorship and contributions to educational resources such as books and journals for students.

Awards and Recognition:

Dr. Praveen Sankarasubramanian’s dedication to innovation and technology has earned him numerous accolades throughout his career. He holds a patent for a system to monitor and handle liquid sodium leakage and fire accidents using AI, which showcases his contribution to industrial safety. His work on bandwidth optimization for video solutions also demonstrates his innovative approach to solving critical tech challenges. Dr. Praveen’s leadership and expertise in cloud computing, AI, and software development have been widely recognized within the tech industry, especially during his tenure at Pearson India and Cognizant. He has also been recognized for his mentorship, having successfully onboarded and guided numerous associates and students in their professional journeys. As a researcher, his contributions have further been acknowledged in academic circles, making him a trusted mentor for the next generation of engineers. His accolades reflect his commitment to excellence, both as a researcher and as a leader.

Publications Titles:

A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals
AI-driven Safety Mechanisms for Industrial Accidents
Bandwidth Optimization for Video Solutions in Cloud-Based Applications
Predictive Maintenance in Industrial Safety Systems Using Machine Learning
Developing Personalized Learning Solutions in Education Technology
Cloud Architecture for Scalable SaaS Platforms

Conclusion:

Dr. Praveen Sankarasubramanian is a highly qualified and innovative researcher whose contributions to AI, cloud computing, and industrial safety have made a significant impact. His ability to blend academic knowledge with practical solutions, demonstrated through patents and cutting-edge technologies, highlights his research excellence. With over 13 years of experience, he has successfully led teams, managed complex projects, and mentored the next generation of engineers. Dr. Praveen’s leadership, technical expertise, and dedication to continuous innovation make him a deserving candidate for the Research for Best Researcher Award, marking him as a pioneer in his field.

Top Notable Publications

Enhancing precision in agriculture: A smart predictive model for optimal sensor selection through IoT integration
- Authors: Sankarasubramanian, P.
- Citations: 0
- Year: 2025
- Journal: Smart Agricultural Technology
An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
- Authors: Sankarasubramanian, P.
- Citations: 0
- Year: 2024
- Journal: Multimedia Tools and Applications
Protection of Hazardous Places in Industries using Machine Learning
- Authors: Sankarasubramanian, P.
- Citations: 1
- Year: 2023
- Conference: 2023 International Conference on Emerging Smart Computing and Informatics (ESCI 2023)
Artificial intelligence-based detection system for hazardous liquid metal fire
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1
- Year: 2021
- Conference: Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom 2021)
Realtime Pipeline Fire Smoke Detection Using a Lightweight CNN Model
- Authors: Kumar, V.K.S., Sankarasubramanian, P.
- Citations: 5
- Year: 2021
- Conference: Proceedings of the 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021)
IoT based prediction for industrial ecosystem
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1
- Year: 2019
- Journal: International Journal of Engineering and Advanced Technology

Raouf hassan| Engineering | Best Researcher Award

Posted on 27/08/202427/08/2024 by Academic Excellence

Raouf hassan| Engineering | Best Researcher Award

Assistant Professor at Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

Dr. Raouf Ahmed Mohamed Hassan is an accomplished Assistant Professor of Civil Engineering with a specialization in Sanitary and Environmental Engineering. Currently employed at the Faculty of Engineering, Aswan University, and Imam Muhammad Ibn Saud Islamic University (IMSIU) in Riyadh, Saudi Arabia, Dr. Hassan has demonstrated expertise in both academic and research domains. With a career objective focused on international academia and the advancement of knowledge in his field, Dr. Hassan is dedicated to fostering innovative ideas and solutions in environmental engineering

Professional Profile

- Scopus Profile
- ORCID Profile

Education

Dr. Hassan earned his Ph.D. and M.Sc. degrees from the prestigious GEPEA laboratory at Nantes University in France, specializing in Environmental Engineering. His academic journey began with a Bachelor of Civil Engineering from South Valley University in Aswan, Egypt, where he graduated with honors. His solid educational foundation has provided him with the necessary skills and knowledge to excel in his chosen field.

Work Experience

Dr. Hassan’s professional career spans over two decades, with significant experience in both teaching and research. Since January 2017, he has been serving as an Assistant Professor at IMSIU in Riyadh. Prior to this, he held a similar position at Aswan University, where he contributed significantly to the Civil Engineering Department. His career also includes a tenure as the Head of the Construction & Building Department at the Arab Academy for Science, Technology & Maritime Transport. Over the years, he has taught a wide array of undergraduate and postgraduate courses, supervised numerous student projects, and led impactful research initiatives.

Research Focus

Dr. Hassan’s research focuses primarily on Sanitary and Environmental Engineering, with a particular emphasis on sustainable waste management, water resources, and environmental impact assessment. His recent projects include developing optimized waste disposal and segregation strategies for Saudi Arabia, managing greywater in urban environments, and improving the reliability of water distribution networks. His work is driven by the goal of creating sustainable engineering solutions that address both current and future environmental challenges.

Awards and Honors

Throughout his career, Dr. Hassan has been recognized for his contributions to environmental engineering. Although specific awards and honors are not detailed, his receipt of significant research grants from Saudi Arabian institutions, such as the Deputyship for Research & Innovation and the Deanship of Scientific Research at IMSIU, reflects his recognition as a leading researcher in his field. These grants support his ongoing efforts to address pressing environmental challenges through innovative research.

Conclusion

Dr. Raouf Ahmed Mohamed Hassan appears to be a highly qualified and deserving candidate for the Best Researcher Award. His extensive experience in teaching, research, and project management, combined with a strong academic background and involvement in impactful research projects, positions him as a strong contender for the award. Addressing the areas for improvement, particularly by highlighting his publication impact and prior recognition, would further strengthen his application.

Publications :

Anaerobic Co-digestion of Sugar Beet Pulp and Sludge: Influence of Periodic Intermittent Stirring and Mixing Ratio
Year: 2024
Journal: Biomass Conversion and Biorefinery
Prediction of Wastewater Treatment Plant Performance through Machine Learning Techniques
Year: 2024
Journal: Desalination and Water Treatment
Optimizing Sludge Extract Reuse from Physico-Chemical Processes for Zero-Waste Discharge: A Critical Review
Year: 2024
Journal: Desalination and Water Treatment
Modified Rice Husk Waste-Based Filter for Wastewater Treatment: Pilot Study and Reuse Potential
Year: 2024
Journal: Chemical Engineering and Technology
Advancing Cobalt Ferrite-Supported Activated Carbon from Orange Peels for Real Pulp and Paper Mill Wastewater Treatment
Year: 2024
Journal: Desalination and Water Treatment
Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects
Year: 2024
Journal: Sustainability (Switzerland)
Comparing Remote Sensing and Geostatistical Techniques in Filling Gaps in Rain Gauge Records and Generating Multi-Return Period Isohyetal Maps in Arid Regions
Year: 2024
Journal: Water (Switzerland)
Performance Assessment of Up-Flow Anaerobic Multi-Staged Reactor Followed by Auto-Aerated Immobilized Biomass Unit for Treating Polyester Wastewater, with Biogas Production
Year: 2024
Journal: Applied Water Science
Optimizing the Coagulation/Flocculation Process for the Treatment of Slaughterhouse and Meat Processing Wastewater: Experimental Studies and Pilot-Scale Proposal
Year: 2024
Journal: International Journal of Environmental Science and Technology
An Eco-Friendly Solution for Greywater Treatment via Date Palm Fiber Filter
Year: 2024
Journal: Desalination and Water Treatment

Byounghyun Jeon | Engineering | Best Researcher Award

Posted on 22/08/202422/08/2024 by Academic Excellence

Byounghyun Jeon | Engineering | Best Researcher Award

Master student at Sungkyunkwan University, South Korea

Byounghyun Jeon is a prominent researcher in the field of materials science, specializing in laser processing of 2D materials and surface enhancement Raman scattering. With a solid educational background, significant work experience, and notable awards, he has demonstrated expertise and leadership in his research. His commitment to interdisciplinary collaboration and innovation makes him a leading figure in advancing material science technologies

Professional Profile

Profile ORCID

Education

Byounghyun Jeon holds a Master of Engineering in Mechanical Engineering from Sungkyunkwan University, South Korea, where he is currently studying under the guidance of Associate Professor Kyunghoon Kim. He completed his Bachelor of Engineering in Mechanical and Automotive Engineering at Inje University, South Korea. His academic background provides a strong foundation in mechanical engineering, with a focus on advanced material processing and innovative technologies.

Work Experience

Byounghyun Jeon is an Associate Professor in the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he leads research in 2D material laser processing. Previously, he completed internships at the Korea Institute of Science and Technology (KIST) and Inje University, gaining hands-on experience in soft convergence materials and automotive noise control. His work experience demonstrates a comprehensive understanding of material science and effective project management.

Research Focus

Jeon’s research centers on laser processing of 2D materials, surface-enhanced Raman scattering, and the development of innovative material composites. His work involves resolving complex material processing challenges and integrating interdisciplinary approaches to achieve groundbreaking results. His focus on cutting-edge technologies and their practical applications underscores his dedication to advancing the field of materials science.

Awards and Honors

Jeon has received notable recognition for his research, including the Outstanding Poster Award from The Korean Society of Mechanical Engineers (KSME) in 2022. His contributions to the field are further underscored by his involvement in high-impact conferences and his upcoming publications, reflecting his commitment to advancing knowledge in material science and laser processing technologies.

Conclusion

Byounghyun Jeon is a highly suitable candidate for the Best Researcher Award due to his exceptional expertise in laser processing, interdisciplinary collaboration, and substantial contributions to the field of materials science. His innovative approach and leadership in research make him a standout candidate for this prestigious recognition.

Publications :

Flexible Composites Designed for Physic Sensors, and Their Electromechanical and Adhesive Performances
- Authors: TS Vo, TS Nguyen, TTBC Vo, B Jeon, S Han, K Kim
- Journal: Journal of Materials Science and Technology
- Year: 2024
- Status: In Submission
Characteristics and Preliminary Healing Ability of Polydimethylsiloxane Elastomers
- Authors: TS Vo, TS Nguyen, B Jeon, TTBC Vo, S Han, SH Lee, K Kim
- Journal: Journal of Materials Research and Technology
- Year: 2024
- Status: Under Review R1
A Comprehensive Review of Chitosan-Based Functional Materials: From History to Specific Applications
- Authors: TS Vo, PP Chit, VH Nguyen, T Hoang, KM Lwin, TTBC Vo, B Jeon, S Han, J Lee, Y Park, K Kim
- Journal: International Journal of Biological Macromolecules
- Year: 2024
- Status: Under Review R1
A Comprehensive Review of Laser Processing-Assisted 2D Functional Materials, and Their Specific Applications
- Authors: TS Vo*, B Jeon*, VPT Nguyen, T Hoang, KM Lwin, TTBC Vo, S Han, K Kim
- Journal: Materials Today Physics
- Year: 2024
- DOI: 10.1016/j.mtphys.2024.101536
Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
- Authors: TS Vo, T Hoang, TTBC Vo, B Jeon, K Kim
- Journal: Advanced Healthcare Materials
- Year: 2024
- DOI: 10.1002/adhm.202303923