Feng Zhao | Food Science | Best Researcher Award

Prof. Feng Zhao | Food Science | Best Researcher Award

Prof. Feng Zhao, Jilin University, China

Dr. Feng Zhao is an accomplished food scientist specializing in food microbiology and biochemistry. He is currently an Associate Professor at Jilin University, China, with extensive research in non-thermal food sterilization, foodborne pathogens, and the viable but nonculturable (VBNC) state in bacteria. With a Ph.D. in Food Science from China Agricultural University, his research has contributed significantly to understanding bacterial survival mechanisms under extreme conditions. Dr. Zhao has received multiple prestigious awards, including the Wiley China Excellent Author Program recognition and the Jilin University Classroom Teaching Quality Award. He has authored numerous high-impact publications and holds patents on bacterial viability detection. His work aims to enhance food safety and preservation, making vital contributions to the global food industry.

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Suitability of Feng Zhao for the Research for Best Researcher Award

Dr. Feng Zhao is a distinguished researcher in food science, particularly in food microbiology and food safety. His work focuses on the formation and resuscitation of viable but nonculturable (VBNC) states in foodborne pathogens, a critical area for ensuring food safety and quality. His extensive research projects, including participation in China’s National Key R&D Program and the National Natural Science Foundation, demonstrate his ability to secure and lead high-impact scientific investigations.

With a strong academic background, Dr. Zhao has progressed from a Ph.D. in Food Science at China Agricultural University to becoming an Associate Professor at Jilin University. His teaching contributions, including courses on Food Biochemistry and Microbiology, show a commitment to academic excellence and mentorship. Furthermore, his numerous patents on bacterial VBNC state detection and induction highlight his innovative contributions to food safety technology.

🎓 Education

Dr. Feng Zhao holds a Ph.D. in Food Science from China Agricultural University (2010-2014), where he studied molecular mechanisms of bacterial survival. Prior to that, he earned an M.S. in Food Science from Northeast Agricultural University (2007-2010), focusing on food microbiology. His academic journey began with a B.S. in Food Science and Engineering from the same institution (2003-2007), where he developed a strong foundation in food safety and biochemistry. He later undertook postdoctoral research at China Agricultural University (2014-2016), deepening his expertise in agricultural engineering and high-pressure food processing. His educational background has shaped his innovative approach to food safety research, particularly in non-thermal sterilization techniques and microbial risk assessment. His dedication to academic excellence and applied research continues to make a profound impact on food science advancements.

💼 Professional Experience

Dr. Feng Zhao has been an Associate Professor at Jilin University’s College of Food Science and Engineering since 2019, where he leads research on microbial food safety. From 2016 to 2019, he served as a Lecturer, teaching food microbiology and enzymology. His professional career began as a postdoctoral fellow at China Agricultural University (2014-2016), where he researched foodborne pathogens’ response to high-pressure CO₂. His expertise extends to food biochemistry, preservation, and sterilization technologies. Over the years, Dr. Zhao has collaborated on national-level research projects, including studies on quorum sensing in Staphylococcus aureus and cold-resistant bacteria in low-temperature foods. He has also played a key role in developing food safety models for bacterial growth prediction. His contributions to academia and industry underscore his leadership in advancing food science innovation.

🏅 Awards and Recognition

Dr. Feng Zhao has received numerous accolades for his research and academic contributions. In 2024, he was honored under the Wiley China Excellent Author Program. He has been recognized multiple times by Jilin University, receiving the Classroom Teaching Quality Award (2023, 2020) and the Excellence Prize for Undergraduate Thesis Advising (2021). His contributions to food safety research earned him the Advanced Individual of Teachers’ Ethics award in 2019. As a student, he received the Excellent Graduate Award from China Agricultural University (2014) and the Outstanding Graduate of Heilongjiang Province (2007). In addition, he won the Food Science Prize from Wyeth Nutrition (2006) and the National First-Class Scholarship of China (2004). His consistent excellence in teaching and research highlights his leadership in the food science field.

🌍 Research Skills On Food Science

Dr. Feng Zhao specializes in food microbiology, focusing on the viable but nonculturable (VBNC) state in foodborne pathogens. His research explores bacterial adaptation mechanisms in response to extreme environmental conditions, particularly under high-pressure CO₂ and low-temperature settings. He has pioneered innovative sterilization techniques using non-thermal food preservation methods, contributing to food safety and extended shelf-life solutions. Dr. Zhao’s expertise includes quorum sensing, microbial risk assessment, and predictive modeling of bacterial behavior in food systems. He actively collaborates on national research projects and has developed patented methods for detecting VBNC bacteria. His analytical skills in molecular microbiology and biochemistry enable groundbreaking research that enhances global food safety standards. Dr. Zhao’s work bridges scientific discovery with practical applications, making him a key figure in advancing food microbiology and sustainable food processing technologies.

📖 Publication Top Notes

Title: Characteristics of Effervescent Tablets of Lactobacilli Supplemented with Chinese Ginseng (Panax ginseng C.A. Meyer) and Polygonatum sibiricum
Authors: Feng Zhao, Meng Li, Lingling Meng, Jinhan Yu, Tiehua Zhang
Journal: Applied Sciences
Year: 2020

HoYoung Yoon | Chemical Engineering | Best Researcher Award

Dr. HoYoung Yoon | Chemical Engineering | Best Researcher Award

Dr. HoYoung Yoon, Åbo Akademi University, Finland

Dr. Ho Young Yoon is a dedicated researcher in the field of Chemical Engineering, specializing in natural materials and environmental sustainability. Currently a Postdoctoral Fellow at Åbo Akademi University, Finland, he focuses on innovative materials derived from biological sources. With a Ph.D. from Gyeongsang National University, South Korea, he has made significant contributions to applied microbiology and biomaterials. His research explores novel approaches to wastewater treatment, bio-based fertilizers, and circular economy solutions. Dr. Yoon has been instrumental in pioneering smart fertilizers and sustainable material innovations, securing major research grants and patents. Recognized globally, he has participated in prestigious scientific summits and collaborated with international institutions. His groundbreaking work has led to several high-impact publications, highlighting his expertise in biotechnological applications. Passionate about eco-friendly engineering solutions, Dr. Yoon continues to push the boundaries of sustainable science to address critical environmental challenges.

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Evaluation of Dr. Ho Young Yoon for the Research for Best Researcher Award

Dr. Ho Young Yoon is a highly accomplished researcher specializing in natural materials technology, applied microbiology, and biomaterials. His academic journey spans prestigious institutions such as Åbo Akademi University in Finland and Gyeongsang National University in South Korea, where he has excelled in research related to sustainable materials, environmental chemistry, and bio-based innovations. His diverse expertise is evident in his postdoctoral and doctoral work, which focuses on developing eco-friendly technologies for agricultural and industrial applications.

A key strength of Dr. Yoon’s research is his ability to secure competitive funding, including grants from the National Research Foundation of Korea and the Korea Water Resources Corporation. These grants have supported groundbreaking projects such as developing mycelium-based bricks for pollutant removal and creating slow-release fertilizers using wastewater sludge. His leadership in these projects underscores his ability to conduct impactful, real-world research that bridges academia and industry.

🎓 Education

Dr. Ho Young Yoon’s academic journey is rooted in excellence and innovation. He earned his Ph.D. in Applied Life Science from Gyeongsang National University (2020-2024) under the mentorship of Prof. Jong-Rok Jeon. His doctoral research focused on advanced bio-based materials and environmental applications, particularly in wastewater treatment and sustainable fertilizers. Prior to that, he completed a Bachelor of Science in Applied Life Chemistry at the same university (2013-2020), where he developed a strong foundation in biochemistry and material science. Currently, Dr. Yoon is a Postdoctoral Fellow at Åbo Akademi University in Finland, specializing in Natural Materials Technology under Prof. Chunlin Xu. His education has been enriched by competitive fellowships and research grants, including the prestigious National Research Foundation of Korea Ph.D. fellowship. His interdisciplinary training in chemistry, microbiology, and material engineering equips him to develop groundbreaking solutions for environmental and industrial challenges.

💼 Professional Experience 

Dr. Ho Young Yoon’s professional experience reflects his expertise in Chemical Engineering and sustainable technology. Since 2024, he has been a Postdoctoral Fellow at Åbo Akademi University, focusing on bio-based material innovations. Earlier, he was a Visiting Researcher at the same institution (Jan-Apr 2024), collaborating on advanced natural material applications. His contributions extend beyond academia, as he played a key role in technology transfer projects, including the development of a natural hair dye composition ($74,000 contract) and a nano-coated smart phosphorus fertilizer (European patent). Additionally, he was an official Korean participant at the Global Young Scientist Summit in Singapore (2024), where he engaged with top international researchers. Dr. Yoon’s research projects, funded by leading organizations, have addressed critical environmental concerns, from micropollutant removal to sustainable agriculture. His industry collaborations and pioneering patents highlight his commitment to bridging scientific discovery with real-world impact.

🏅 Awards and Recognition 

Dr. Ho Young Yoon has received numerous awards and recognitions for his outstanding contributions to Chemical Engineering and environmental sustainability. He was awarded the prestigious Ph.D. fellowship from the National Research Foundation of Korea ($16,000), supporting his innovative work on bio-based slow-release fertilizers. His research was also funded by the Korea Water Resources Corporation’s Open Innovation R&D program ($8,000), acknowledging his groundbreaking work in wastewater treatment. His patented smart fertilizer technology led to a significant industry collaboration with Recover Ingredients in Italy, securing licensing rights with ongoing revenue. Additionally, his research has been featured as a front cover article in Advanced Sustainable Systems. His participation in the Global Young Scientist Summit (2024) further solidified his reputation as an emerging leader in sustainable engineering. Through his work, Dr. Yoon continues to make a lasting impact in academia and industry, driving forward eco-friendly material innovations.

🌍 Research Skills On Chemical Engineering

Dr. Ho Young Yoon possesses a diverse range of research skills, specializing in biopolymer engineering, nanotechnology, and environmental sustainability. He has extensive experience in developing smart fertilizers, bio-based adsorbents, and eco-friendly composite materials. His expertise in wastewater treatment includes advanced methods for removing micropollutants using mycelium-based bio-materials. Dr. Yoon is proficient in structural analysis of natural polymers, employing techniques such as FTIR, SEM, and XRD. His ability to synthesize bio-functionalized nanoparticles has led to patented innovations in agricultural and cosmetic industries. He is skilled in technology transfer, having successfully commercialized multiple sustainable materials. His research approach integrates multidisciplinary knowledge from microbiology, chemistry, and engineering, enabling him to design circular economy solutions. With a strong publication record and collaborations across academia and industry, Dr. Yoon continues to drive innovation in environmental biotechnology, creating scalable solutions for real-world applications.

 📖 Publication Top Notes

Recycling tempura powder debris derived from the fried food industry as a binder for 3-dimensional biodegradable composites: A novel circular economy alternative to low-performance plastics.

Authors: M., Oh, Minseung, H., Yoon, Ho-young, N., Thanh Phong, Nguyen, K., Kim, Kang-soo, J., Jeon, Jong-rok

year: 2024

Tajunisha N | Computer Science | Best Faculty Award

Dr. Tajunisha N | Computer Science | Best Faculty Award

Dr. Tajunisha N, Sri Ramakrishna College of Arts & Science for Women, India

Dr. N. Tajunisha is a distinguished academician and researcher in Computer Science, currently serving as Professor and Head of the Department at Sri Ramakrishna College of Arts & Science for Women. With over 27 years of academic experience and 23 years of research expertise, she specializes in Data Mining, Machine Learning, Big Data Analytics, and Networks. She earned her Ph.D. from Mother Teresa Women’s University, Kodaikanal, and has been an influential figure in research and development. As a leader, she has held key positions such as Research Coordinator, IQAC Coordinator, and Institution Innovation Cell (IIC) President. Her contributions to academia include publishing research papers in prestigious journals, securing research funding, and mentoring Ph.D. scholars. Recognized with the Senior Educator and Scholar Award, she actively collaborates with institutions like IBM, Rently, and L&T EDUTECH. Her work continues to shape the future of Computer Science education and research.

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Suitability of Dr. N. Tajunisha for the Research for Best Faculty Award

Dr. N. Tajunisha is a distinguished academic leader with a strong record of excellence in teaching, research, and institutional development. With 27 years of academic experience and 23 years of research expertise, she has significantly contributed to the fields of Data Mining, Machine Learning, Big Data Analytics, and Networks. As a Professor and Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has played a crucial role in shaping the institution’s academic and research landscape.

Her research contributions are noteworthy, with 34 journal publications, 25 conference papers, and 9 SCOPUS-indexed papers, along with securing Rs. 3.17 lakhs from UGC for a Minor Research Project and Rs. 76 lakhs for a DST-FIST project. Dr. Tajunisha’s role as a Ph.D. guide, having successfully mentored three doctoral scholars and currently supervising five more, reflects her dedication to research mentorship. Her collaborations with IBM, Rently, L&T EDUTECH, Easy Design System, and VConnect highlight her industry engagement, while her participation in Doctoral Committees, Board of Studies (BOS), and Programme Advisory Committees showcases her leadership in academic governance.

🎓 Education

Dr. N. Tajunisha has an extensive educational background in Computer Science and Mathematics. She earned her Ph.D. in Computer Science from Mother Teresa Women’s University, Kodaikanal, in 2013, focusing on advanced research methodologies. Before that, she completed her M.Phil. in Computer Science from Bharathiar University, where she developed expertise in data analysis and computational techniques. Her academic journey began with a Master of Computer Applications (MCA) and a Bachelor’s degree in Mathematics from Madurai Kamaraj University, providing her with a strong mathematical foundation essential for algorithm development and computational problem-solving. Her diverse academic background has equipped her with critical analytical skills, enabling her to contribute significantly to the fields of Data Mining and Machine Learning. Her education and continuous professional development have played a crucial role in her ability to drive research innovations and mentor future scholars in Computer Science.

💼 Professional Experience

Dr. N. Tajunisha has over 27 years of academic experience and 23 years in research, significantly shaping Computer Science education. As the Professor & Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has spearheaded numerous academic and research initiatives. From 2013 to 2018, she served as the Research Coordinator, facilitating advanced research projects and securing substantial funding, including a Rs. 76 lakh DST-FIST grant. She has also played a pivotal role as the IQAC Coordinator (2018-2022), ensuring institutional excellence. Additionally, she has served as the Institution Innovation Cell (IIC) President, fostering entrepreneurship and innovation. Her industry collaborations with IBM, Rently, and L&T EDUTECH have enriched student learning experiences. She has contributed as a Board of Studies member in multiple colleges and played an active role in doctoral committees and inspection commissions under Bharathiar University.

🏅 Awards and Recognition

Dr. N. Tajunisha’s contributions to academia have been widely recognized through numerous awards and honors. She received the prestigious Senior Educator and Scholar Award from NFED in 2017 for her outstanding contributions to Computer Science education. She has also been honored with the Best Paper Award at the IEEE International Conference held at Satyabhama University in 2010. Her research excellence is reflected in her extensive publication record, including nine Scopus-indexed journal papers. Her leadership in institutional development led to Sri Ramakrishna College of Arts & Science for Women achieving an A+ grade in NAAC Cycle II under her tenure as IQAC Coordinator. Additionally, she has been an invited session chair at international conferences and serves as a reviewer for top-tier journals. Her commitment to fostering innovation and research has positioned her as a thought leader in Data Mining, Machine Learning, and Big Data Analytics.

🌍 Research Skills On Computer Science

Dr. N. Tajunisha’s research expertise spans Data Mining, Machine Learning, Big Data Analytics, and Networks. She has successfully guided three Ph.D. scholars and is currently mentoring five more, contributing to advancements in computational intelligence and predictive analytics. Her research has secured substantial funding, including a Rs. 3.17 lakh UGC Minor Research Project and Rs. 76 lakh for a DST-FIST project. With 34 journal papers, 25 conference papers, and two books to her credit, she has made significant contributions to her field. She actively collaborates with industry leaders like IBM, Rently, and L&T EDUTECH, ensuring practical applications of her research. Her ability to integrate academic knowledge with real-world solutions makes her a leading researcher in her domain. She has also been a reviewer for international journals and a committee member in doctoral research evaluations, further enhancing her impact in the field.

📖 Publication Top Notes

  • Performance analysis of k-means with different initialization methods for high-dimensional data
    Author(s): VSN Tajunisha
    Journal: International Journal of Artificial Intelligence and Applications
    Citations: 35
    Year: 2010

  • An efficient method to improve the clustering performance for high dimensional data by principal component analysis and modified K-means
    Author(s): N Tajunisha, V Saravanan
    Journal: International Journal of Database Management Systems
    Citations: 20
    Year: 2011

  • An increased performance of clustering high dimensional data using Principal Component Analysis
    Author(s): N Tajunisha, V Saravanan
    Conference: 2010 First International Conference on Integrated Intelligent Computing
    Citations: 19
    Year: 2010

  • A study on evolution of data analytics to big data analytics and its research scope
    Author(s): S Sruthika, N Tajunisha
    Conference: 2015 International Conference on Innovations in Information, Embedded and …
    Citations: 14
    Year: 2015

  • Predicting Student Performance Using MapReduce
    Author(s): N Tajunisha, M Anjali
    Journal: International Journal of Emerging and Computer Science
    Citations: 14
    Year: 2015

  • A new approach to improve the clustering accuracy using informative genes for unsupervised microarray data sets
    Author(s): N Tajunisha, V Saravanan
    Journal: International Journal of Advanced Science and Technology
    Citations: 10
    Year: 2011

  • Automatic classification of ovarian cancer types from CT images using deep semi-supervised generative learning and convolutional neural network
    Author(s): N Nagarajan, P.H. Tajunisha
    Journal: Revue d’Intelligence Artificielle
    Citations: 9
    Year: 2021

  • Classification of cancer datasets using artificial bee colony and deep feed-forward neural networks
    Author(s): M Karunyalakshmi, N Tajunisha
    Journal: International Journal of Advanced Research in Computer and Communication …
    Citations: 8
    Year: 2017

  • Concept and Term-Based Similarity Measure for Text Classification and Clustering
    Author(s): B Sindhiya, N Tajunisha
    Journal: IJERST
    Citations: 7
    Year: 2014

  • Optimal Parameter Selection-Based Deep Semi-Supervised Generative Learning and CNN for Ovarian Cancer Classification
    Author(s): PH Nagarajan, N Tajunisha
    Journal: ICTACT Journal on Soft Computing
    Citations: 5
    Year: 2023

Jianliu Wang | Gynecology | Best Researcher Award

Prof. Dr. Jianliu Wang | Gynecology | Best Researcher Award

Prof. Dr. Jianliu Wang, Peking University, Beijing, China 

Jianliu Wang is a distinguished gynecologist, researcher, and academic leader. Currently serving as Vice-President of Peking University People’s Hospital, he is also the Chairman and Professor of the Department of Obstetrics and Gynecology. As an expert in gynecologic oncology and pelvic disorders, he has significantly contributed to medical research and clinical advancements. His pioneering studies on cervical and endometrial cancer have influenced treatment protocols and improved patient outcomes. He has also played a crucial role in advancing pelvic floor disorder treatments. Dr. Wang holds key positions in prestigious medical associations, including the International Urogynecology Association and the International Gynecological Cancer Society. He is the Chief Editor of Gynecology and Obstetrics Clinical Medicine and has received numerous accolades for his contributions to medical science. His dedication to research, education, and patient care continues to shape the future of gynecological health worldwide.

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Suitability for the Research for Best Researcher Award – Jianliu Wang

Prof. Jianliu Wang is an outstanding candidate for the Research for Best Researcher Award based on his extensive contributions to gynecologic oncology, pelvic floor disorders, and female reproductive health. His distinguished career spans multiple decades, with leadership roles as Vice-President of Peking University People’s Hospital, Chairman of the Obstetrics and Gynecology Department, and Chairman of the National Center for Pelvic Diseases Control. These positions demonstrate his leadership in both clinical practice and medical research.

His academic background is impressive, with degrees from Henan Medical University and Beijing Medical University, alongside specialized training at Karolinska Hospital in Sweden. His research focuses on gynecologic oncology, particularly cervical and endometrial cancer, with groundbreaking work on biomarkers such as p16INK4a, p14ARF, and p53. His findings have been published in high-impact journals, including Clinical Cancer Research, Oncogene, Cell Death & Disease, and Gynecologic Oncology. His research also extends to the metabolic microenvironment of endometrial cancer, demonstrating his multidisciplinary approach to understanding and treating gynecologic malignancies.

🎓 Education

Dr. Jianliu Wang pursued his medical education at Henan Medical University, where he earned his Bachelor of Science degree in Clinical Medicine in 1986. He further specialized in Gynecologic Oncology, obtaining his M.D. from the same institution in 1991. His commitment to research and academic excellence led him to earn a Ph.D. in Gynecologic Oncology from Beijing Medical University in 1998. Seeking international expertise, he advanced his studies at Karolinska Hospital in Stockholm, Sweden, from 2002 to 2004. His extensive training and multidisciplinary education have positioned him as a leading figure in gynecologic oncology research and clinical practice. His academic journey reflects his relentless pursuit of knowledge and innovation, which he has applied to improving women’s healthcare globally.

💼 Professional Experience

Dr. Jianliu Wang has an illustrious career spanning decades in obstetrics and gynecology. Since 2004, he has served as a Professor in the Department of Obstetrics and Gynecology at Peking University People’s Hospital. His leadership capabilities led to his appointment as Chairman of the department in 2014 and Vice-President of the hospital in 2016. Beyond his clinical and academic roles, Dr. Wang has significantly contributed to professional societies, serving as a board member of the International Society for Gynecologic Endoscopy and a standing committee member of various medical associations. His influence extends to medical research, where he has led groundbreaking studies in gynecologic oncology and pelvic floor disorders. As Chief Editor of Gynecology and Obstetrics Clinical Medicine, he has shaped medical literature and guided future research. His expertise and leadership continue to drive innovations in gynecological healthcare worldwide.

🏅 Awards and Recognition

Dr. Jianliu Wang has received numerous prestigious awards recognizing his contributions to gynecologic oncology and pelvic disorder research. In 2024, he was honored with the China Medical Science and Technology Award. His groundbreaking work on the microenvironment and molecular pathogenesis of endometrial carcinoma earned him the First Class Prize from the China Medical Science and Technology Award in 2018. That same year, he won the First Class Prize from the Beijing Medical Science Award. His research excellence has also been acknowledged with the Science Research Famous Achievement Award and the Huaxia Medical Science Award. In 2015, he received the Science Technology Award from the Chinese Association of Plastics and Aesthetics. His international reputation was further solidified by the 2012 Wu Jieping Medical Research Award and Paul Janssen Pharmacy Research Award. Dr. Wang’s relentless dedication to gynecological research has left an indelible impact on global healthcare.

🌍 Research Skills On Gynecology

Dr. Jianliu Wang is a leading researcher in gynecologic oncology and pelvic organ disorders. His expertise spans molecular pathogenesis, tumor microenvironment analysis, and translational research in cervical and endometrial cancers. He has pioneered biomarker discovery for cancer diagnosis and has developed innovative prognostic models using clinical and genomic data. His work on calcium signaling and metabolic pathways in cancer progression has been widely cited. Additionally, Dr. Wang has extensively studied pelvic organ prolapse, focusing on epidemiology, biomechanical properties, and surgical outcomes. He integrates clinical expertise with research, bridging gaps between laboratory discoveries and patient treatments. His research, published in top-tier journals, has influenced medical guidelines and improved gynecological healthcare practices worldwide. His ability to synthesize multidisciplinary knowledge into groundbreaking medical advancements cements his reputation as a foremost expert in the field.

📖 Publication Top Notes

  • Title: A 14-year multi-institutional collaborative study of Chinese pelvic floor surgical procedures related to pelvic organ prolapse

    • Authors: Sun, Z.-J.; Wang, X.-Q.; Lang, J.-H.; Xu, T.; Lu, Y.-X.; Hua, K.-Q.; Han, J.-S.; Li, H.-F.; Tong, X.-W.; Wang, P. et al.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1097/CM9.0000000000001237
  • Title: A novel transcription factor-based prognostic signature in endometrial cancer: Establishment and validation

    • Authors: Yang, X.; Cheng, Y.; Li, X.; Zhou, J.; Dong, Y.; Shen, B.; Zhao, L.; Wang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.2147/OTT.S293085
  • Title: A ten-gene methylation signature as a novel biomarker for improving prediction of prognosis and indicating gene targets in endometrial cancer

    • Authors: Li, X.; Yang, X.; Fan, Y.; Cheng, Y.; Dong, Y.; Zhou, J.; Wang, Z.; Li, X.; Wang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1016/j.ygeno.2021.04.035
  • Title: A Training Simulator for Fractional Dilation and Curettage With Visualized Force-Position Feedback and Quantitative Evaluation

    • Authors: Zheng, Y.; Wang, K.; Zhang, K.; An, J.; Wu, J.; Feng, Z.; Liu, C.; Wang, J.; Lu, Q.; Zhang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1097/AOG.0000000000004443
  • Title: Acceleration of pelvic tissue generation by overexpression of basic fibroblast growth factor in stem cells

  • Title: Analysis of pregnancy-associated factors after fertility-sparing therapy in young women with early stage endometrial cancer or atypical endometrial hyperplasia

    • Authors: Fan, Y.; Li, X.; Wang, J.; Wang, Y.; Tian, L.; Wang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1186/s12958-021-00808-y
  • Title: Assessment of Pelvic Floor Function and Quality of Life in Patients Treated for Cervical Cancer: A Multicenter Retrospective Study

    • Authors: Wang, S.; Wen, H.; Gao, Y.; Lv, Q.; Cao, T.; Wang, S.; Wang, J.; Li, Y.; Wang, H.; Wang, Z. et al.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1159/000517995
  • Title: Association of pelvic floor function with postoperative urinary incontinence in cervical cancer patients after the radical hysterectomy

    • Authors: Wang, S.; Wang, R.; Wen, H.; Gao, Y.; Lv, Q.; Li, H.; Wang, S.; Wang, Y.; Liu, Q.; Han, J. et al.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1002/nau.24587
  • Title: Carbon nanoparticles combined with indocyanine green for sentinel lymph node detection in endometrial carcinoma

    • Authors: Liang, S.; Wang, Z.; Chen, J.; Yang, X.; Liang, X.; Sun, X.; Li, X.; Zhou, R.; Li, Y.; Wang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1002/jso.26518
  • Title: Cutaneous metastases of endometrial carcinoma: report of an unusual case and literature review

    • Authors: Fan, Y.; Deng, H.; Tian, L.; Wang, J.
    • Year: 2021
    • Citations: [Check Scopus for citation count]
    • DOI: 10.1007/s00404-021-06165-w

Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar, Delhi Technological University, India

Yakshansh Kumar is a highly motivated researcher and academician in the field of Civil Engineering, with a specialization in Pavement-Soil Dynamics. Currently pursuing his PhD at Delhi Technological University, he focuses on dynamic response analysis of pavement-soil systems using piezo sensors. He has actively contributed to several publications and international conferences, establishing himself as a promising expert in geotechnical engineering. Passionate about advancing knowledge and fostering innovation, Yakshansh is also involved in mentoring students and advancing research projects. His dedication and commitment are evident in his academic achievements and research pursuits.

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Summary of Suitability for the “Research for Best Researcher Award”

Yakshansh Kumar is a promising and dedicated researcher with a strong academic foundation and a demonstrated commitment to advancing the field of civil and geotechnical engineering, particularly in pavement-soil dynamics. Currently pursuing a Ph.D. at Delhi Technological University, his research focus on dynamic response analysis of pavement-soil systems using piezo sensors exemplifies his innovative approach to solving complex engineering challenges. His research is not only theoretically robust but also applied, with funding from the university’s IRD and the use of experimental testing and finite element analysis in his investigations.

Kumar’s publication record is impressive, with multiple articles in high-impact journals such as International Journal of Non-Linear Mechanics (SCIE, Q1) and Journal of Vibration Engineering and Technologies (SCIE, Q2). He has contributed to the scientific community with key insights on dynamic load vibrations, piezo-dynamics, and the role of machine learning in geotechnical analysis. His research has garnered attention on both national and international platforms, demonstrated by his active participation in numerous conferences, where he has won awards for best technical papers.

🎓  Education

Yakshansh Kumar holds a PhD in Civil Engineering from Delhi Technological University (DTU), where he is conducting research on the dynamic analysis of pavement-soil systems. He earned his Master’s degree in Geotechnical Engineering from DTU, achieving a CGPA of 7.49. He completed his Bachelor’s degree in Civil Engineering at Hindu College of Engineering (affiliated with DCRUSTM) with a CGPA of 6.37. Throughout his academic career, Yakshansh has demonstrated a strong foundation in engineering principles, with a specific interest in soil dynamics and pavement systems. His rigorous research work has led to multiple scholarly contributions in well-regarded journals and international conferences.

💼 Professional Experience

Yakshansh Kumar has an extensive academic and research background. He is currently working on his PhD project, funded by the IRD-DTU, which focuses on pavement-soil dynamics using piezo sensors for experimental testing and finite element analysis. As part of his professional journey, Yakshansh has contributed to several research papers, conferences, and has collaborated with experts in geotechnical engineering. He has also participated as a reviewer in esteemed journals such as Transportation Infrastructure Geotechnology. In addition to his research, he has attended workshops and seminars, including a national seminar on Science Day and faculty development programs, showcasing his dedication to continuous learning. His involvement in teaching and research continues to shape his career path.

🏅  Awards and Recognition

Yakshansh Kumar has been recognized for his outstanding contributions to research and academic excellence. He was awarded the Best Technical Paper Award for his work on “Velocity Induced Post Elastic Response of Pavements” presented at the Sustainable Infrastructure: Innovations, Opportunities, and Challenges (SIIOC 2024). In addition, his paper on “Post Elastic Response of Pavement Subjected to Moving Load” received the Best Paper Award at the International Online Conference on Energy Science (ICES 2021). His work has been published in high-impact journals such as the International Journal of Non-Linear Mechanics and Journal of Vibration Engineering and Technologies. He has also been recognized as a reviewer for journals and international conferences, reflecting his academic credibility and recognition in the field of geotechnical engineering.

🌍 Research Skills On Engineering

Yakshansh Kumar possesses strong research skills, particularly in the areas of pavement-soil dynamics, finite element analysis, and piezo-dynamics of geomaterials. His expertise lies in dynamic response analysis using experimental testing and numerical modeling. His ongoing PhD project focuses on piezo sensors and their application to pavement systems, supported by funding from IRD-DTU. Yakshansh has demonstrated his proficiency in using advanced software for computational modeling and simulations, as well as conducting real-world experimental tests. His research contributes to understanding the behavior of pavements under dynamic loads, which is vital for improving infrastructure performance. His skills are complemented by his ability to collaborate with peers, present research at conferences, and publish in well-regarded journals.

📖 Publication Top Notes

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2023). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2023
  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2024
  • Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads. Journal of Vibration Engineering & Technologies, 12(3), 3543-3562.
    • Year: 2024
  • Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials. Journal of Vibration Engineering & Technologies, 1-20.
    • Year: 2024
  • Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load

    • Authors: A Boban, P Pateriya, Y Kumar, K Gaur, A Trivedi
    • Citation: Boban, A., Pateriya, P., Kumar, Y., Gaur, K., & Trivedi, A. (2024). Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load. AI in Civil Engineering, 3(1), 2.
    • Year: 2024
  • Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials

    • Authors: P Kumar, Y Kumar, A Trivedi
    • Citation: Kumar, P., Kumar, Y., & Trivedi, A. (2023). Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials. International Conference on Interdisciplinary Approaches in Civil Engineering.
    • Year: 2023
  • Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load

    • Authors: A Boban, Y Kumar, A Trivedi
    • Citation: Boban, A., Kumar, Y., & Trivedi, A. (2023). Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load. International Conference on Sustainable Infrastructure: Innovation.
    • Year: 2023
  • Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials. Available at SSRN 5002829.
    • Year: 2024

Adriana Leiras | Business | Best Researcher Award

Assoc. Prof. Dr. Adriana Leiras | Business | Best Researcher Award

Assoc. Prof. Dr. Adriana Leiras, Pontifical Catholic University of Rio de Janeiro – PUC-Rio, Brazil

Adriana Leiras is an Associate Professor at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), specializing in Humanitarian Operations (HOs). She completed her Ph.D. in Industrial Engineering in 2011 and shifted her research focus to HOs, blending engineering, management, and public policies to create sustainable solutions for global humanitarian challenges. Adriana’s work is at the intersection of academia, policymakers, humanitarian professionals, and civil society, contributing significantly to the field. She is a former POMS Vice President for the Americas and regional leader of the MIT SCALE Latin America Network. With extensive international collaborations, she actively contributes to research that impacts both Brazil and Latin America.

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Summary of Suitability for the Research for Best Researcher Award

Adriana Leiras stands out as a highly suitable candidate for the Research for Best Researcher Award due to her groundbreaking work in Humanitarian Operations (HOs), an emerging field with global significance. As an Associate Professor at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), she has not only pioneered research at the intersection of engineering, management, and public policies but also contributed significantly to designing innovative solutions for global humanitarian challenges. Her impressive academic journey, transitioning from Refinery Planning to HOs, demonstrates her ability to adapt and lead in addressing critical global issues. Leiras’ work has involved collaborations with policymakers, humanitarian professionals, and academia, underscoring her role in bridging the gap between research and practical solutions for sustainable development.

Her ongoing and completed research projects, including prestigious fellowships and funding from renowned institutions like FAPERJ, NASEM, and CNPq, highlight her expertise in humanitarian logistics, disaster management, and climate change adaptation. She has a strong record of consultancy work with international organizations like the UNDP and the World Bank, further solidifying her influence in shaping disaster risk management and humanitarian logistics strategies globally.

Education 🎓

Adriana Leiras completed her Ph.D. in Industrial Engineering at PUC-Rio in 2011. Prior to her doctorate, she obtained her Master’s degree in Industrial Engineering, where her academic journey began. Her research initially focused on refinery planning, before pivoting to Humanitarian Operations (HOs) in response to global needs. Her educational background laid the foundation for her future endeavors in researching the intersection of engineering, management, and public policy, with an emphasis on sustainable and innovative solutions for humanitarian challenges. Adriana continues to develop her expertise through various prestigious fellowships and scholarships, driving forward the academic exploration of humanitarian logistics.

Professional Experience 💼

Adriana Leiras has extensive experience in academia and consultancy, with a deep focus on humanitarian logistics and operations. As an Associate Professor at PUC-Rio, she has led various research initiatives and served as a key player in academic leadership roles, such as being the Vice President of Americas at POMS. She has collaborated with global organizations like the UNDP and the World Bank on humanitarian and disaster risk management projects. Adriana has also worked on significant consultancy projects aimed at improving logistics in disaster management. Her work in both academia and the industry demonstrates her dedication to bridging theory with practical, impactful solutions.

Awards and Recognition 🏅

Adriana Leiras has received numerous prestigious awards and recognitions for her research and contributions to humanitarian operations. Some notable recognitions include multiple research productivity scholarships from CNPq, several FAPERJ grants, and the CAPES Senior Visiting Professor Abroad award. She has also been honored with the FAPERJ Young Scientist Award and has secured significant fellowships such as the NASEM-LAC Connections Fellowship. Her efforts have been acknowledged internationally through projects such as the UNDP National Disaster Risk and Management Plan and her editorial roles in high-impact journals. These awards highlight her profound influence in advancing the field of humanitarian logistics.

Research Skills On Business 🌍

Adriana Leiras excels in interdisciplinary research, particularly in the field of humanitarian operations and logistics. Her work focuses on combining engineering, management, and public policy to create innovative solutions for global humanitarian challenges. Adriana is highly skilled in conducting research that involves close collaboration with a wide range of stakeholders, including policymakers, humanitarian professionals, and academics. She has published extensively in high-ranking journals, with a citation index that reflects her impactful work. Her research covers disaster management, climate change adaptation, and sustainable development, contributing valuable insights to global humanitarian efforts.

📖 Publication Top Notes

  • Literature review of humanitarian logistics research: trends and challenges
    Authors: A Leiras, I de Brito Jr, E Queiroz Peres, T Rejane Bertazzo, …
    Citation: Journal of Humanitarian Logistics and Supply Chain Management 4 (1), 95-130
    Year: 2014

  • Public-private-people relationship stakeholder model for disaster and humanitarian operations
    Authors: TC Fontainha, A Leiras, RA de Mello Bandeira, LF Scavarda
    Citation: International journal of disaster risk reduction 22, 371-386
    Year: 2017

  • The use of UAVs in humanitarian relief: An application of POMDP-based methodology for finding victims
    Authors: RZB Bravo, A Leiras, FL Cyrino Oliveira
    Citation: Production and Operations Management 28 (2), 421-440
    Year: 2019

  • Social supply chain risk management: a taxonomy, a framework and a research agenda
    Authors: L Cunha, P Ceryno, A Leiras
    Citation: Journal of Cleaner Production 220, 1101-1110
    Year: 2019

  • Environmental risk management in supply chains: A taxonomy, a framework and future research avenues
    Authors: FN de Oliveira, A Leiras, P Ceryno
    Citation: Journal of Cleaner Production 232, 1257-1271
    Year: 2019

  • Disaster relief supply pre-positioning optimization: A risk analysis via shortage mitigation
    Authors: LD Condeixa, A Leiras, F Oliveira, I de Brito Jr
    Citation: International journal of disaster risk reduction 25, 238-247
    Year: 2017

  • Systematic literature review of methodologies for assessing the costs of disasters
    Authors: D Eckhardt, A Leiras, AMT Thomé
    Citation: International journal of disaster risk reduction 33, 398-416
    Year: 2019

  • Supply chain risk analysis: a shipbuilding industry case
    Authors: FAL Ferreira, LF Scavarda, PS Ceryno, A Leiras
    Citation: International Journal of Logistics Research and Applications 21 (5), 542-556
    Year: 2018

  • Literature review of the application of UAVs in humanitarian relief
    Authors: R Bravo, A Leiras
    Citation: Proceedings of the XXXV Encontro Nacional de Engenharia de Producao …
    Year: 2015

  • Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches
    Authors: LRA Cunha, APS Delfino, KA dos Reis, A Leiras
    Citation: International Journal of Production Research 56 (18), 6279-6293
    Year: 2018

SWARNENDU MANDAL | Urology | Best Researcher Award

Assoc. Prof. Dr. SWARNENDU MANDAL | Urology | Best Researcher Award

Assoc. Prof. Dr. SWARNENDU MANDAL, AIIMS, BHUBANESWAR, India

Dr. Swarnendu Mandal, born on June 28, 1980, is an esteemed Associate Professor at AIIMS, Bhubaneswar, with extensive experience in urology and surgery. He holds a specialization in Urology, earning his MCh from K.G.M.U. and MS in General Surgery from Banaras Hindu University. His commitment to advancing medical care, coupled with his leadership in education and clinical practice, has made him a respected figure in the field of urology. With expertise in various urological procedures such as radical nephrectomy, prostatectomy, and reconstructive surgeries, Dr. Mandal is recognized for his dedication to both teaching and patient care.

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Research for Best Researcher Award: Swarnendu Mandal

Dr. Swarnendu Mandal demonstrates exceptional expertise and experience, making him a highly suitable candidate for the Research for Best Researcher Award. As an Associate Professor at AIIMS, Bhubaneswar, he has established a strong foundation in Urology, General Surgery, and Plastic Surgery. His academic qualifications, including a recent role as an Associate Professor, as well as prior experience in teaching and practicing in various prestigious institutions, highlight his deep knowledge and commitment to advancing medical research and practice.

Dr. Mandal’s professional journey is marked by his comprehensive exposure to complex surgical procedures, ranging from endourology to urological malignancies, and his involvement in laparoscopic and reconstructive surgeries. His contributions to medical education, particularly in guiding both undergraduate students and healthcare professionals, underscore his role as a mentor and educator in the field.

🎓 Education

Dr. Mandal’s academic journey began with his MBBS from SCB Medical College, Cuttack, under Utkal University in 2004. He continued to excel, obtaining an MS in General Surgery from Banaras Hindu University (2009). He further honed his urological skills with an MCh from K.G.M.U. (2013). His medical education was complemented by various fellowships and specialized training in surgery, endourology, and laparoscopy, setting the foundation for his distinguished career.

💼 Professional Experience

Dr. Mandal has a rich professional background. Currently serving as an Associate Professor at AIIMS, Bhubaneswar, since 2021, he brings over 15 years of clinical and academic experience. His prior roles include Assistant Professor at AIIMS (2018-2021) and Consultant at a corporate hospital in Gurgaon (2013-2018). His training encompasses extensive experience in both general surgery and urology, with a focus on advanced laparoscopic and reconstructive procedures. Dr. Mandal’s ability to teach and mentor students has been integral to his professional success.

🏅 Awards and Recognition

Throughout his career, Dr. Mandal has been recognized for his outstanding contributions to urology and medicine. He has received several academic honors, including awards for his research in urological surgery and his role in advancing minimally invasive procedures. His dedication to medical education and patient care has earned him accolades from prestigious institutions and his peers. Dr. Mandal’s work has also been recognized in clinical excellence, reflecting his ongoing commitment to improving patient outcomes.

🌍 Research Skills On Urology

Dr. Mandal is proficient in a range of urological research areas, including endourology, urological malignancies, and laparoscopic surgery. His research work focuses on improving surgical techniques, enhancing recovery post-surgery, and studying new technologies in urological procedures. He has contributed to multiple peer-reviewed publications in the field, presenting at numerous international conferences. His passion for advancing medical knowledge drives his continuous involvement in clinical research, making him a leader in his field.

📖 Publication Top Notes

  • Prospective evaluation of complications using the modified Clavien grading system, and of success rates of percutaneous nephrolithotomy using Guy’s Stone Score: A single-center study

    • Authors: S Mandal, A Goel, R Kathpalia, S Sankhwar, V Singh, RJ Sinha, BP Singh, …
    • Journal: Indian Journal of Urology 28 (4), 392-398
    • Citations: 121
    • Year: 2012
  • Clavien classification of semirigid ureteroscopy complications: a prospective study

    • Authors: S Mandal, A Goel, MK Singh, R Kathpalia, DS Nagathan, SN Sankhwar, …
    • Journal: Urology 80 (5), 995-1001
    • Citations: 104
    • Year: 2012
  • Grading complications after transurethral resection of prostate using modified Clavien classification system and predicting complications using the Charlson comorbidity index

    • Authors: S Mandal, SN Sankhwar, R Kathpalia, MK Singh, M Kumar, A Goel, …
    • Journal: International urology and nephrology 45, 347-354
    • Citations: 69
    • Year: 2013
  • Use of holmium: YAG laser in posterior urethral valves: another method of fulguration

    • Authors: S Mandal, A Goel, M Kumar, MK Singh, V Singh, SN Sankhwar, BP Singh, …
    • Journal: Journal of pediatric urology 9 (6), 1093-1097
    • Citations: 33
    • Year: 2013
  • Ventral-inlay buccal mucosal graft urethroplasty for female urethral stricture

    • Authors: P Nayak, S Mandal, M Das
    • Journal: Indian Journal of Urology 35 (4), 273-277
    • Citations: 32
    • Year: 2019
  • Congenital anterior urethral valve with or without diverticulum: a single-centre experience

    • Authors: J Prakash, D Dalela, A Goel, V Singh, M Kumar, M Garg, S Mandal, …
    • Journal: Journal of Pediatric Urology 9 (6), 1183-1187
    • Citations: 23
    • Year: 2013
  • Re: Rourke et al.: effect of wound closure on buccal mucosal graft harvest site morbidity: results of a randomized prospective trial (Urology 2012; 79: 443-447)

    • Authors: S Mandal, V Singh, S Sankhwar
    • Journal: Urology 79 (5), 1193
    • Citations: 13
    • Year: 2012
  • Urodynamic and continence assessment of orthotropic neobladder reconstruction following radical cystectomy in bladder cancer; a prospective, blinded North Indian tertiary care study

    • Authors: V Singh, S Mandal, S Patil, RJ Sinha, DK Gupta, SN Sankhwar
    • Journal: South Asian Journal of Cancer 3 (04), 223-226
    • Citations: 12
    • Year: 2014
  • Comparison of extracorporeal shock wave lithotripsy for inferior caliceal calculus between children and adults: a retrospective analysis—why do results vary?

    • Authors: S Mandal, SN Sankhwar, MK Singh, R Kathpalia, V Singh, A Goel, …
    • Journal: Urology 80 (6), 1209-1213
    • Citations: 11
    • Year: 2012
  • Efficacy of PCNL in the resolution of symptoms of nephrolithiasis

    • Authors: AS Gaur, S Mandal, A Pandey, MK Das, P Nayak
    • Journal: Urolithiasis 50 (4), 487-491
    • Citations: 8
    • Year: 2022

Farzad Pashmforoush | Engineering | Best Researcher Award

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

 

Salah Abdulrhmann | Physics | Best Researcher Award

Prof. Dr. Salah Abdulrhmann | Physics | Best Researcher Award

Prof. Dr. Salah Abdulrhmann, Department of Physics, Faculty of Science, Assiut University, Assiut, Egypt, Saudi Arabia

Professor Salah Aldeen Galal Abdulrhmann is a distinguished academic in the field of Laser Physics, currently serving as a faculty member at Jazan University, Saudi Arabia, while on leave from Assiut University, Egypt. With over two decades of experience in both academic and industrial environments, his work focuses on semiconductor lasers, terahertz pulse amplification, and optical communication systems. He is renowned for his pioneering research on the dynamics and noise of semiconductor lasers used in fiber communication systems. His impressive career includes numerous collaborations with international researchers and several prestigious fellowships, such as his postdoctoral research at Pohang University of Science and Technology (POSTECH) in South Korea. Professor Abdulrhmann is passionate about teaching, having led courses in various physics subjects, including laser physics and quantum mechanics, at both undergraduate and graduate levels.

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Summary of Suitability for the Research for Best Researcher Award

Professor Salah Aldeen Galal Abdulrhmann is an accomplished academic and researcher in the field of Laser Physics, with a deep focus on the modeling, simulation, and analysis of semiconductor lasers (SLs) and their applications in optical communication systems. His impressive body of work spans across the development of devices for THz pulse amplification and generation, and the examination of semiconductor lasers under optical feedback. Professor Abdulrhmann’s expertise is further evidenced by his collaborations with international researchers, including those at Furukawa Company in Japan, and his postdoctoral experience at Pohang University of Science and Technology (POSTECH) in South Korea. He has contributed to advancing technology in reducing noise and improving the performance of SLs used in fiber amplifier systems.

His extensive research output and practical applications in the field of optical communication systems demonstrate his ability to push boundaries in a highly technical area of physics. Furthermore, his qualifications, including a Ph.D. in Theoretical Physics, and experience in both academic and industrial settings, reflect his versatility and capacity for pioneering research.

🎓 Education

Professor Salah Aldeen Galal Abdulrhmann obtained his Ph.D. in Theoretical Physics with a focus on semiconductor lasers from Assiut University, Egypt, in 2007. His doctoral research, titled “Modeling and Numerical Simulation of Dynamics and Noise in Semiconductor Lasers for Optical Communication Systems,” was conducted at Kanazawa University, Japan. Prior to that, he completed his Master of Science in Theoretical Physics (condensed matter) at Assiut University in 1998, where his dissertation examined the thermal and laser initiation of solid explosives. His academic journey began with a Bachelor of Science in Physics from Assiut University, Egypt, in 1994, where he earned the highest GPA in his department. Throughout his education, he received multiple graduate student research assistantships, including at the prestigious Graduate School of Natural Science and Technology, Kanazawa University.

💼 Professional Experience

Professor Abdulrhmann’s professional experience spans both academic and industrial sectors. Currently, he serves as an Associate Professor at Jazan University, where he teaches courses on various physics topics, including general and medical physics, quantum mechanics, and laser physics. His previous experience includes positions as an Assistant Professor at both Jazan and Assiut Universities, where he contributed to the development of undergraduate and graduate courses in physics. Additionally, he worked as a Postdoctoral Fellow at Pohang University of Science and Technology (POSTECH) in South Korea, specializing in the simulation of THz pulse amplification devices. Professor Abdulrhmann has also collaborated with researchers at Furikawa Company in Japan, where he contributed to improving the performance of semiconductor lasers in optical communication systems. His teaching and research work have made a significant impact on students and the scientific community.

🏅 Awards and Recognition

Professor Abdulrhmann’s career has been marked by numerous prestigious awards and fellowships. Among his notable honors is a postdoctoral fellowship supported by KOSEF at Pohang University of Science and Technology (POSTECH), Republic of Korea. He has also been recognized for his contributions to research in optoelectronics, including receiving funding from the Foundation for C&C Promotion to present his work at the SPIE International Conference of Optoelectronics in San Jose, USA. Professor Abdulrhmann’s academic excellence was acknowledged early on when he achieved the highest GPA in the Physics Department at Assiut University in 1994 and 1996. He has been an active member of prominent scientific organizations, including the IEEE and the Japan Society of Applied Physics. His research has earned him recognition from both the academic community and industry leaders.

🌍 Research Skills On Physics

Professor Abdulrhmann is highly skilled in the simulation, modeling, and analysis of semiconductor lasers and devices used in optical communication systems. He is an expert in finite difference time domain (FDTD) simulators, which he has utilized to develop new approaches for semiconductor laser dynamics and noise reduction. His research focuses on THz pulse amplification and generation, as well as the behavior of solid explosives when heated by lasers. Additionally, he has significant expertise in analyzing the dynamics of semiconductor lasers under optical feedback and in optical fiber amplifiers. His collaborative work with industry researchers, particularly in Japan, has led to advancements in reducing noise and production costs for semiconductor lasers. His deep understanding of theoretical physics, mathematics, and computational methods has driven significant progress in his field, making him a leader in laser physics and optical communication research.

 📖 Publication Top Notes

  • An improved analysis of semiconductor laser dynamics under strong optical feedback
    Authors: SG Abdulrhmann, M Ahmed, T Okamoto, W Ishimori, M Yamada
    Journal: IEEE Journal of Selected Topics in Quantum Electronics, 9 (5), 1265-1274
    Citations: 85
    Year: 2003
  • New model of analysis of semiconductor laser dynamics under strong optical feedback in fiber communication systems
    Authors: S Abdulrhmann, M Ahmed, M Yamada
    Journal: Physics and Simulation of Optoelectronic Devices XI, 4986, 490-501
    Citations: 35
    Year: 2003
  • A multimode simulation model of mode-competition low-frequency noise in semiconductor lasers
    Authors: M Ahmed, M Yamada, S Abdulrhmann
    Journal: Fluctuation and Noise Letters, 1 (03), L163-L170
    Citations: 32
    Year: 2001
  • Numerical modeling of the route‐to‐chaos of semiconductor lasers under optical feedback and its dependence on the external‐cavity length
    Authors: M Ahmed, M Yamada, S Abdulrhmann
    Journal: International Journal of Numerical Modelling: Electronic Networks, Devices
    Citations: 23
    Year: 2009
  • Influence of nonlinear gain and nonradiative recombination on the quantum noise in InGaAsP semiconductor lasers
    Authors: S Abdulrhmann, M Ahmed, M Yamada
    Journal: Optical Review, 9, 260-268
    Citations: 21
    Year: 2002
  • Analysis of dynamics and intensity noise of semiconductor lasers under strong optical feedback
    Authors: S Abdulrhmann, M Ahmed, T Okamoto, W Ishimori, M Yamada
    Journal: Conference Series-Institute of Physics, 174, 409-414
    Citations: 9
    Year: 2003
  • Theoretical modeling of the dynamics of a semiconductor laser subject to double-reflector optical feedback
    Authors: A Bakry, S Abdulrhmann, M Ahmed
    Journal: Journal of Experimental and Theoretical Physics, 122, 960-969
    Citations: 7
    Year: 2016
  • Numerical modeling of the output and operations of semiconductor lasers subject to strong optical feedback and its dependence on the linewidth‐enhancement factor
    Authors: S Abdulrhmann, M Yamada, M Ahmed
    Journal: International Journal of Numerical Modelling: Electronic Networks, Devices
    Citations: 7
    Year: 2011
  • A novel model of semiconductor laser operation under strong optical feedback
    Authors: S Abdulrhmann, T Okamoto, M Yamada
    Journal: Conference Digest-IEEE International Semiconductor Laser Conference, 101-102
    Citations: 7
    Year: 2002
  • Dynamics and noise of fiber-grating semiconductor lasers affected by the line-width enhancement factor
    Authors: S Abdulrhmann
    Journal: Turkish Journal of Physics, 36 (2), 225-233
    Citations: 5
    Year: 2012

Alimul Rajee | Computer Science | Young Scientist Award

Mr. Alimul Rajee | Computer Science | Young Scientist Award

Mr. Alimul Rajee, Dept. of ICT, Comilla University, Kotbari, Bangladesh

Alimul Rajee is a Lecturer at the Department of Information and Communication Technology, Comilla University. His academic journey includes a stellar performance with a CGPA of 3.69 in his M.Sc. in Information Technology from Jahangirnagar University. Rajee’s research interests span Machine Learning, Data Science, Artificial Intelligence, Cyber Security, and Robotics, with a focus on real-world applications such as traffic accident data analysis and smart waste management. He has contributed significantly to several research projects, and his work has been published in prestigious journals, such as Knowledge-Based Systems and Heliyon. In addition to his research, Rajee is an active educator, mentoring students and supervising projects in areas like IoT and deep learning. His dedication extends beyond the classroom to extracurricular activities, where he has received multiple awards and recognitions, including an international award for his project at Fujitsu Research Institute in Tokyo.

Professional Profile

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Suitability Summary of Young Scientist Awards

Alimul Rajee stands out as an excellent candidate for the Research for Young Scientist Award due to his impressive academic achievements, significant research contributions, and commitment to advancing in the fields of Machine Learning, Data Science, Artificial Intelligence, Cyber Security, and IoT. He has a strong educational background, earning his M.Sc. and B.Sc. with high CGPA rankings from Jahangirnagar University, which reflects his deep knowledge and dedication to his field.

Rajee’s research work is highly commendable, with several publications in reputable, Scopus-indexed journals such as Knowledge-Based Systems and Heliyon, where he has contributed to the development of novel algorithms and methodologies, especially in big data analysis, sentiment analysis, and AI-based applications. His ongoing and completed research projects, including a hybrid smart waste management system and aspect-based sentiment analysis for Bengali text, further showcase his innovative thinking and practical application of emerging technologies to address real-world problems. Additionally, his leadership in supervising over 40 academic projects and his participation in global training programs, like those held at the Fujitsu Research Institute in Japan, illustrate his proactive approach to both learning and teaching.

🎓  Education

Alimul Rajee completed his M.Sc. in Information Technology from Jahangirnagar University, securing a CGPA of 3.69 out of 4, ranking 6th in his batch. Before this, he earned his B.Sc. (Hons.) in the same field, also from Jahangirnagar University, with a CGPA of 3.71, again securing the 6th position. Rajee’s academic excellence dates back to his secondary education, where he achieved the highest CGPA of 5.00 in both his HSC and SSC exams from Govt. Ananadamohan College and Islamnagar Sailampur High School. His continuous pursuit of academic excellence earned him merit-based scholarships throughout his education. His academic prowess has laid a strong foundation for his research and professional career, as he continues to excel in his field with a focus on cutting-edge technologies such as AI and IoT.

💼 Professional Experience

Alimul Rajee’s professional career began as a Junior Data Scientist at Oculin Tech BD Ltd., where he worked from March 2020 to May 2021. He then served as a Senior Officer (ICT) at Sonali Bank PLC for a brief period before becoming a Lecturer at Comilla University in November 2021, where he currently teaches. Rajee’s teaching journey includes roles at Bangladesh University of Business and Technology (BUBT) and Jahangirnagar University (IIT-JU), where he was a Teacher Assistant. His extensive experience also includes supervising over 40 academic projects focused on machine learning, deep learning, and IoT. As an educator, he fosters a positive learning environment, guiding students through complex technical concepts while contributing to the development of innovative research and real-world applications.

🏅  Awards and Recognition

Alimul Rajee’s achievements have been recognized at both national and international levels. He has received several awards, including the UGC Research Grant from Comilla University for consecutive fiscal years, which is a testament to his research capabilities. Rajee’s work has been recognized by prestigious institutions such as Fujitsu Research Institute (FRI) in Tokyo, where his final project won 1st prize. He has also been a reviewer for the International Conference on Embracing Industry 4.0 for Sustainable Business Growth. His consistent academic and research excellence has earned him regular merit-based scholarships and fellowships, such as the National Science & Technology Fellowship from the ICT Division of Bangladesh.

🌍 Research Skills On Computer Science

Alimul Rajee specializes in the application of cutting-edge technologies such as Machine Learning, Artificial Intelligence, Cyber Security, and IoT. His research includes a diverse range of topics like traffic accident data analysis, sentiment analysis of Bengali text, and smart waste management. Rajee has honed his expertise in Data Science and deep learning methods, contributing to several high-impact publications in renowned journals such as Knowledge-Based Systems and Heliyon. His current research projects include Aspect-Category-Opinion-Sentiment Quad Extraction for Bengali Text and a Hybrid Smart Waste Management Technique using Deep Learning and IoT. Rajee’s proficiency in data analysis, algorithm design, and system integration showcases his strong research skills and his commitment to advancing technology for societal benefit.

📖 Publication Top Notes

  • “Aspect-based sentiment analysis for Bengali text using bidirectional encoder representations from transformers (BERT)”
    • Authors: MM Samia, A Rajee, MR Hasan, MO Faruq, PC Paul
    • Citation: International Journal of Advanced Computer Science and Applications, 13(12)
    • Year: 2022
  • “Detecting the provenance of price hike in agri-food supply chain using private Ethereum blockchain network”
    • Authors: MH Sayma, MR Hasan, M Khatun, A Rajee, A Begum
    • Citation: Heliyon, 10(11)
    • Year: 2024
  • “Analyzing depression on social media utilizing machine learning and deep learning methods”
    • Authors: PC Paul, MT Ahmed, MR Hasan, A Rajee, K Sultana
    • Citation: Indian Journal of Computer Science and Engineering, 14(5), 740-746
    • Year: 2023
  • “WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis”
    • Authors: A Rajee, MS Satu, MZ Abedin, KMA Ali, S Aloteibi, MA Moni
    • Citation: Knowledge-Based Systems, 113089
    • Year: 2025