Victor Kuzmichev | Clothing Design | Outstanding Scientist Award

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Prof. Dr. Victor Kuzmichev | Clothing Design | Outstanding Scientist Award

Head of Garment Design Department at Ivanovo State Polytechnical University, Russia

Dr. Victor Kuzmichev is a distinguished Russian scholar and professor specializing in clothing design, textile technology, and virtual fashion applications. With over four decades of experience in academia and research, he has made significant contributions to the fields of costume history, 3D garment design, body scanning technology, and computer-aided design (CAD) in fashion. He has held leadership roles in education, supervised numerous Ph.D. students, and collaborated with international institutions. His work bridges historical costume analysis with modern digital innovations in clothing design.

Professional Profile:

Scopus

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Education Background

Dr. Kuzmichev earned his engineering degree from Ivanovo Textile Institute in 1978, followed by a Ph.D. from the Moscow Science Institute of Sewing Technology in 1982. He later obtained his Doctor of Science (Dr.Sc.) degree in 1995, further solidifying his expertise in textile engineering and garment design.

Professional Development

Dr. Kuzmichev has been serving as Head of the Clothing Design Department at Ivanovo State Polytechnic University since 1997, where he has played a crucial role in advancing textile education and research. He has been a visiting professor at Wuhan Textile University, China (since 2002), and ENSISA University, France (2011-2020). As a member of the Russian Academy of Natural Science since 1996, he has contributed to Ph.D. committees and served on editorial boards of scientific journals. His extensive academic career includes leading research projects, developing innovative fashion technologies, and mentoring future scholars.

Research Focus

Dr. Kuzmichev’s research focuses on costume history, 3D design of garments, body scanning technology, pattern-making techniques, textile material testing, and CAD-based clothing design. He is also actively engaged in virtual reality applications and the development of virtual twins in fashion, enhancing digital prototyping and garment simulation. His interdisciplinary approach integrates historical garment study with cutting-edge fashion technology.

Author Metrics:

Dr. Kuzmichev has an extensive publication record, with 495 scientific articles, including 36 indexed in Web of Science and Scopus between 2020-2024. He has authored 38 books and teaching materials (3 published from 2020-2024) and holds 73 patents (2 registered from 2020-2024). He has successfully supervised 23 Ph.D. students, including 4 from 2020-2024, and has led 26 research projects and grants (8 secured between 2020-2024).

Awards and Honors:

Dr. Kuzmichev has been widely recognized for his contributions to science and education. His accolades include the USSR Inventor Award (1985), Russian Ministry of Education Awards (2002, 2005), multiple Gold Medals for Scientific Achievements (2007-2009), the All-Russian “Founder of Science School” Award (2011), and the Chinese “Chime Bell Award” (2011). He was honored with the “Recruitment Program of Global Experts” Award (2012-2017), the Geneva International Salon of Inventions Silver Award (2013), and the Chinese Friendship Award (2015). In recent years, he received the Honored Professor of Russian Higher Education System title (2019) and the Russian Government Award for Science and Technology (2024).

Publication Top Notes

1. “Research on the Male Lower Torso for Improving Underwear Design”

  • Authors: Zhe Cheng, Victor Ye Kuzmichev
  • Journal: Textile Research Journal, 2019
  • Citations: 15
  • Summary: This research investigates male lower torso morphology to enhance the fit and comfort of men’s underwear through improved pattern-making techniques.

2. “Virtual Reconstruction of Historical Men’s Suit”

  • Authors: Victor Ye Kuzmichev, Aleksei Y.U. Moskvin, Mariia A. Moskvina
  • Journal: Autex Research Journal, 2018
  • Citations: 33
  • Summary: A study on using virtual modeling techniques to reconstruct historical men’s suits, integrating traditional costume research with modern digital garment technology.

3. “New Database for Improving Virtual System ‘Body-Dress'”

  • Authors: J.Q. Yan, S.C. Zhang, Victor Ye Kuzmichev, Dominique C. Adolphe
  • Conference Paper (No source information available)
  • Citations: 8
  • Summary: Development of a database aimed at improving body-dress simulation systems for more accurate garment fitting in virtual environments.

4. “Classification of Male Lower Torso for Underwear Design”

  • Authors: Zhe Cheng, Victor Ye Kuzmichev
  • Conference Paper (No source information available)
  • Citations: 2
  • Summary: A study on male lower torso classification to refine size standardization in men’s underwear design.

5. “Development of Female Torso Classification and Method of Patterns Shaping”

  • Authors: X. Wu, Victor Kuzmichev, T. Peng
  • Journal: Autex Research Journal, 2018
  • DOI: 10.1515/aut-2018-0011
  • Summary: This research presents a classification system for the female torso, introducing advanced pattern-shaping techniques for improved fit and comfort in women’s clothing.

Conclusion

Dr. Victor Kuzmichev’s remarkable achievements in textile innovation, research, and education make him highly deserving of the Outstanding Scientist Award. His ability to merge historical garment analysis with advanced digital tools showcases visionary leadership in clothing design. With his vast academic contributions, international collaborations, and prestigious recognitions, he stands as a pioneering force in fashion technology and textile researh

Ruey-Beei Wu | Electrical Engineering | Best Researcher Award

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Prof. Ruey-Beei Wu | Electrical Engineering | Best Researcher Award

Ruey-Beei Wu at National Taiwan University, Taiwan

Ruey-Beei Wu is a distinguished professor in Electrical Engineering at National Taiwan University, known for his contributions to computational electromagnetics and microwave engineering. With a career spanning academia, industry leadership, and international collaborations, he has played a pivotal role in advancing high-performance computing and electromagnetic design. An IEEE Fellow, he has received multiple prestigious awards for his research, leadership, and academic excellence.

Professional Profile:

Scopus

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Google Scholar 

Education Background

Ruey-Beei Wu completed his Bachelor of Science in Electrical Engineering (B.S.E.E.) in 1979 and later earned his Ph.D. in Electrical Engineering in 1985, both from National Taiwan University, Taipei. His academic journey laid a strong foundation in computational electromagnetics and microwave engineering, equipping him with expertise that he later applied to research, teaching, and leadership roles. His doctoral studies focused on advanced electromagnetic design, which became the cornerstone of his contributions to high-performance computing, microwave components, and communication systems.

Professional Development

Ruey-Beei Wu joined the Department of Electrical Engineering at National Taiwan University in 1982 and served as its Chairman from 2004 to 2007. He has been with the Graduate Institute of Communications Engineering since its inception in 1997. He held postdoctoral positions at IBM (1986) and was a visiting professor at UCLA (1994) and Gent University (2009). He served as Director of the National Center for High-Performance Computing (1998–2000) and as Directorate General of the Planning and Evaluation Department at the National Science Council (2002–2004). From 2012 to 2016, he was President of the Institute for Information Industry (III).

Research Focus

His research focuses on computational electromagnetics, transmission line and waveguide discontinuities, microwave and millimeter-wave passive components, and electromagnetic design for advanced packaging and systems.

Author Metrics:

  • IEEE Fellow

  • Associate Editor, IEEE Transactions on Microwave Theory and Techniques (2005–2008)

  • Associate Editor, IEEE Transactions on Advanced Packaging (2009–2012)

Awards and Honors:

  • IEEE R10 Outstanding Volunteer Award (2009)

  • IEEE R10 Distinguished Large Section Award (2009)

  • IEEE MGA Outstanding Large Section Award (2009)

  • IEEE Innovation Award (2009)

  • NSC Distinguished Research Awards (1990, 1993, 1995, 1997)

  • Outstanding Electrical Engineering Professor Award, Chinese Institute of Electrical Engineers (1999)

  • Best Paper Award, IEEE Transactions on Advanced Packaging (2009)

  • Outstanding Research Award, Pan Wen Yuan Foundation (2013)

  • Academic Award, Ministry of Education (2013)

Publication Top Notes

1. Design of Dual- and Triple-Passband Filters Using Alternately Cascaded Multiband Resonators

  • Authors: C.F. Chen, T.Y. Huang, R.B. Wu
  • Journal: IEEE Transactions on Microwave Theory and Techniques
  • Volume & Issue: 54 (9)
  • Pages: 3550-3558
  • Year: 2006
  • Citations: 367

2. Microstrip Diplexers Design with Common Resonator Sections for Compact Size but High Isolation

  • Authors: C.F. Chen, T.Y. Huang, C.P. Chou, R.B. Wu
  • Journal: IEEE Transactions on Microwave Theory and Techniques
  • Volume & Issue: 54 (5)
  • Pages: 1945-1952
  • Year: 2006
  • Citations: 320

3. Design of Microstrip Bandpass Filters with Multiorder Spurious-Mode Suppression

  • Authors: C.F. Chen, T.Y. Huang, R.B. Wu
  • Journal: IEEE Transactions on Microwave Theory and Techniques
  • Volume & Issue: 53 (12)
  • Pages: 3788-3793
  • Year: 2005
  • Citations: 233

4. 60-GHz Four-Element Phased-Array Transmit/Receive System-in-Package Using Phase Compensation Techniques in 65-nm Flip-Chip CMOS Process

  • Authors: J.L. Kuo, Y.F. Lu, T.Y. Huang, Y.L. Chang, Y.K. Hsieh, P.J. Peng, I.C. Chang, R.B. Wu, et al.
  • Journal: IEEE Transactions on Microwave Theory and Techniques
  • Volume & Issue: 60 (3)
  • Pages: 743-756
  • Year: 2012
  • Citations: 177

5. Miniaturized Bandpass Filters with Double-Folded Substrate Integrated Waveguide Resonators in LTCC

  • Authors: H.Y. Chien, T.M. Shen, T.Y. Huang, W.H. Wang, R.B. Wu
  • Journal: IEEE Transactions on Microwave Theory and Techniques
  • Volume & Issue: 57 (7)
  • Pages: 1774-1782
  • Year: 2009
  • Citations: 157

Conclusion

Given his exceptional academic achievements, international recognition, impactful research, and leadership roles, Prof. Ruey-Beei Wu is highly suitable for the Best Researcher Award. His work has profoundly influenced electrical and microwave engineering, and his contributions to high-performance computing and advanced electromagnetic design make him an ideal candidate. With further emphasis on industry-driven innovations and interdisciplinary research, he could solidify his legacy as a global research leader.

Tzu-Chien Wang | AI | Best Researcher Award

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Assist. Prof. Dr. Tzu-Chien Wang | AI | Best Researcher Award

Tzu-Chien Wang at Department of Computer Science and Information Management Soochow University, Taiwan

Dr. Tzu-Chien Wang is an Assistant Professor in the Department of Computer Science and Information Management at Soochow University. He specializes in artificial intelligence, data mining, decision support systems, and process improvement techniques. With a strong background in machine learning, natural language processing, and predictive modeling, he has contributed significantly to both academia and industry by developing proof-of-concept models for operational processes.

Professional Profile:

Orcid

Google Scholar

Education Background

Dr. Tzu-Chien Wang earned his Ph.D. in Business Administration from National Taiwan University, where he specialized in data-driven decision-making, artificial intelligence applications, and business intelligence. His doctoral research focused on leveraging machine learning, data mining, and optimization techniques to enhance decision support systems and operational efficiency. His academic training has provided him with a strong foundation in predictive modeling, natural language processing, and process improvement methodologies, which he has effectively applied in both research and industry settings.

Professional Development

Dr. Wang has a diverse professional background, spanning academia, industry, and research institutions. Before joining Soochow University in 2025, he served as an Assistant Professor at Mackay Junior College of Medicine, Nursing, and Management. He also held managerial roles in data development at VisualSoft Information System Co., Ltd. and worked as a Senior Data Analyst at Fubon Life Insurance Co., Ltd. Additionally, he contributed as an Assistant Research Fellow at the Commerce Development Research Institute, focusing on international digital commerce.

Research Focus

His research interests include artificial intelligence, data mining, decision support systems, natural language processing, optimization, clustering, classification, and predictive model building. He is particularly engaged in developing AI-driven solutions for business intelligence, healthcare applications, and digital transformation.

Author Metrics:

Dr. Wang has published extensively in AI, data analytics, and business intelligence. His research contributions can be found on Google Scholar, reflecting his impact on data science and AI applications.

Awards and Honors:

  • High-Age Health Smart Medical Care Industry-Academia Alliance, National Science and Technology Council, Taiwan (2025–2028)

  • AI+BI Agile Development Data Platform Project, Ministry of Economic Affairs, Taiwan (2022)

  • Consumer Data-Driven Precision R&D and Manufacturing (C2M) Promotion Project, Bureau of Energy, Taiwan (2021)

Publication Top Notes

1. Deep Learning-Based Prediction and Revenue Optimization for Online Platform User Journeys

  • Author: T.C. Wang
  • Journal: Quantitative Finance and Economics (2024)
  • Type: Research Article
  • Citations: 6
  • Summary: This study utilizes deep learning techniques to predict user behavior and optimize revenue generation on online platforms, improving personalized recommendations and business strategies.

2. An Integrated Data-Driven Procedure for Product Specification Recommendation Optimization with LDA-LightGBM and QFD

  • Authors: T.C. Wang, R.S. Guo, C. Chen
  • Journal: Sustainability (2023)
  • Type: Research Article
  • Citations: 5
  • Summary: This research presents a hybrid framework combining Latent Dirichlet Allocation (LDA), LightGBM, and Quality Function Deployment (QFD) to optimize product specification recommendations, improving efficiency in sustainable manufacturing.

3. Integrating Latent Dirichlet Allocation and Gradient Boosting Tree Methodology for Insurance Product Development Recommendation

  • Authors: W.Y. Chen, T.C. Wang, R.S. Guo, C. Chen
  • Conference: Proceedings of the 9th International Conference on Big Data Analytics (ICBDA) (2024)
  • Type: Conference Paper
  • Citations: 1
  • Summary: This paper integrates LDA and Gradient Boosting Trees to refine insurance product development recommendations, offering a data-driven approach for personalized insurance solutions.

4. Data Mining Methods to Support C2M Product-Service Systems Design and Recommendation System Based on User Value

  • Authors: T.C. Wang, R.S. Guo, C. Chen
  • Conference: 2022 Portland International Conference on Management of Engineering and Technology (PICMET)
  • Type: Conference Paper
  • Citations: 1
  • Summary: This study explores data mining techniques to enhance Consumer-to-Manufacturer (C2M) product-service system design, optimizing recommendation systems based on user value analysis.

5. Customer Demand Evaluation Method

  • Author: T.C. Wang
  • Patent: TW Patent TW202,414,306 A (2024)
  • Type: Patent
  • Summary: This patent presents a novel method for evaluating customer demand using AI-driven analytics, enhancing precision in product development and market segmentation.

Conclusion

Dr. Tzu-Chien Wang is a strong candidate for the Best Researcher Award, given his expertise in AI, machine learning, and business intelligence, along with his demonstrated contributions to academia and industry. His innovative research, patents, and funded projects underscore his impact. By expanding global collaborations, diversifying his research themes, and increasing engagement in AI policy and ethics, he can further solidify his standing as a leading researcher in artificial intelligence

Maria José Oliveira | Cancer | Best Researcher Award

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Prof. Maria José Oliveira | Cancer | Best Researcher Award

Principal Researcher at i3S, Portugal

Maria José Cardoso Oliveira is a distinguished biomedical researcher and group leader at the i3S-Institute for Research and Innovation in Health, Porto, Portugal. With a strong background in oncology and tumor microenvironment studies, she has made significant contributions to cancer research, particularly in understanding the role of macrophages and extracellular matrix components in cancer invasion and metastasis.

Professional Profile:

Scopus

Orcid

Education Background

  • Ph.D. in Medical Sciences – Faculty of Medicine and Health Sciences, Ghent University, Belgium (2004)

  • Biology Degree (Scientific Branch) – Faculty of Sciences, University of Porto, Portugal (1996)

Professional Development

Dr. Oliveira has been actively engaged in cancer research, serving as a Principal Researcher at i3S and INEB, as well as the Group Leader of the Tumor and Microenvironment Interactions Group since 2017. She has held various academic and scientific roles, including positions at the Faculty of Medicine, University of Porto, and international collaborations with research institutions. She has also been a Scientific Commission Member of multiple programs, including the Master in Oncology and the Ph.D. program in Biotechnology Applied to Health Sciences.

Research Focus

Her research focuses on the complexity of tumor microenvironments, particularly the role of macrophage subpopulations in gastric and colorectal cancer invasion, angiogenesis, and metastasis. She explores macrophage polarization under ionizing radiation and its implications for therapeutic interventions. Her work integrates cell biology, microbiology, immunology, and oncobiology to develop targeted therapies.

Author Metrics:

  • Publications: 122 international peer-reviewed articles

  • Citations: 5810 (5713 excluding self-citations)

  • h-index: 42 (Scopus)

  • Book Chapters: 7

Awards and Honors:

Dr. Oliveira has received multiple prestigious awards, including the L’Óreal/UNESCO/FCT Prize for Women in Science in 2009. She has also been honored with EMBO/FEBS Fellowships, the 1st LabMed Award, and several research grants from the Portuguese Science Foundation (FCT) and other international organizations.

Publication Top Notes

1. Multilevel Plasticity and Altered Glycosylation Drive Aggressiveness in Hypoxic and Glucose-Deprived Bladder Cancer Cells

  • Authors: A. Peixoto, D. Ferreira, A. Miranda, L.L. Santos, J.A. Ferreira
  • Journal: iScience (2025)
  • Type: Research Article
  • Citations: 0
  • Summary: This study explores how hypoxic and glucose-deprived conditions influence bladder cancer cell aggressiveness through metabolic plasticity and glycosylation changes.

2. Self-Assembled Inorganic Nanomaterials for Biomedical Applications

  • Authors: M.T. Campos, L.S. Pires, F.D. Magalhães, M.J. Oliveira, A.M. Pinto
  • Journal: Nanoscale (2025)
  • Type: Research Article
  • Citations: 0
  • Summary: The paper discusses self-assembling inorganic nanomaterials and their potential applications in biomedical sciences.

3. Antibody Blockade of the PSGL-1 Immune Checkpoint Enhances T-Cell Responses to B-Cell Lymphoma

  • Authors: J.L. Pereira, L. Arede, F. Ferreira, D. Duarte, N.R. dos Santos
  • Journal: Leukemia (2025)
  • Type: Research Article
  • Citations: 0
  • Summary: Investigates the therapeutic potential of blocking the PSGL-1 immune checkpoint to improve T-cell responses against B-cell lymphoma.

4. The Link Between Obesity and the Gut Microbiota and Immune System in Early Life

  • Authors: M.I. Magalhães, M.J. Azevedo, F. Castro, Â.M. Amorim-Costa, B. Sampaio-Maia
  • Journal: Open Access Review (2025)
  • Type: Review Article
  • Citations: 1
  • Summary: Reviews how obesity in early life interacts with gut microbiota and immune system development.

5. Nanotherapeutics in Women’s Health: Emerging Nanotechnologies for Triple-Negative Breast Cancer Treatment

  • Authors: S.T. Quintas, A. Canha-Borges, M.J. Oliveira, B.F.C.C. Sarmento, F. Castro
  • Journal: Special Issue, Open Access (2025)
  • Type: Review Article
  • Citations: 13
  • Summary: Discusses innovative nanotechnologies aimed at improving therapeutic outcomes for triple-negative breast cancer.

Conclusion

Prof. Maria José Oliveira is an outstanding candidate for the Best Researcher Award due to her significant contributions to cancer research, leadership in oncology, high-impact publications, and prestigious recognitions. Addressing aspects like industry collaboration and commercialization could further elevate her profile. Given her track record and global impact, she is highly suitable for this prestigious award.

Pawan Gaire | Electromagnetic | Best Researcher Award

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Mr. Pawan Gaire | Electromagnetic | Best Researcher Award

Graduate Research Assistant at University of Nebraska Lincoln, United States

Pawan K. Gaire is a Ph.D. candidate in Electrical Engineering at the University of Nebraska-Lincoln, with expertise in electromagnetic (EM) simulation, numerical modeling, and RF/antenna design. His research focuses on developing novel computational techniques and advanced RF systems for wireless communication and energy transfer. With a strong background in both theoretical and applied electromagnetics, he has contributed to groundbreaking advancements in physics-embedded neural networks, multi-band antennas, and wireless power transfer technologies.

Professional Profile:

Scopus

Orcid 

Google Scholar

Education Background

Pawan earned his B.S. in Electrical Engineering from Howard University (summa cum laude, GPA: 3.89) in 2019. He then pursued graduate studies at Florida International University (GPA: 3.96) from 2019 to 2022 before transferring to the University of Nebraska-Lincoln, where he is currently completing his Ph.D. (GPA: 4.0), expected in May 2025. His coursework includes advanced topics in RF circuit design, antenna and wireless communication systems, numerical analysis, and electromagnetic modeling.

Professional Development

Pawan has extensive research experience as a Research Assistant at the University of Nebraska-Lincoln, where he developed the Physics Embedded Neural Network (PENN) for solving finite element problems and designed miniature multi-band antennas using multiferroic heterostructures. His work also includes the simulation of vector vortex wave generation for high-capacity wireless communication in confined environments. Previously, at Florida International University, he designed and implemented wireless power transfer systems, including smartphone charging within the radiating near-field and rectifier circuits for wearable energy harvesting. His industry experience includes internships at SLAC National Accelerator Laboratory, DiCarlo Lab at MIT’s Center for Brain, Mind, and Machines, and the Center for Integrated Quantum Materials, where he worked on projects involving photolithography, quantum materials, and AI-driven computer vision benchmarking.

Research Focus

Pawan’s research interests lie at the intersection of computational electromagnetics, physics-informed machine learning, RF and microwave systems, wireless power transfer, and antenna design. He is particularly focused on leveraging AI-driven approaches to solve Maxwell’s equations efficiently and designing next-generation RF systems for advanced communication and energy harvesting applications.

Author Metrics:

Pawan has authored multiple peer-reviewed journal articles and conference papers. His publications include works in Neurocomputing and Scientific Reports, addressing topics such as physics-informed neural networks and ad-hoc wireless power transfer. His full list of publications and citations can be found on Google Scholar.

Awards and Honors:

Pawan has received recognition for his research contributions through various grants and conference presentations. His work on wireless power transfer and AI-driven electromagnetics has been presented at leading IEEE conferences such as AP-S/URSI, PowerMEMS, and ACES. He has also participated in NSF I-Corps for customer discovery in wearable charging technology, further demonstrating his ability to bridge research with real-world applications.

Publication Top Notes

1. Physics Embedded Neural Network: Novel Data-Free Approach Towards Scientific Computing and Applications in Transfer Learning

  • Authors: P. Gaire, S. Bhardwaj

  • Journal: Neurocomputing, Volume 617, Article 128936

  • Year: 2025

  • Paper Summary: This paper introduces Physics Embedded Neural Networks (PENN), a novel approach to solving partial differential equations (PDEs) without relying on large datasets. The study demonstrates its effectiveness in scientific computing, particularly for Maxwell’s equations, and explores its applications in transfer learning.

2. Physics Embedded Neural Network (PENN) Architecture for Solving Maxwell’s Equations Towards Accelerated Microwave Modeling

  • Authors: P. Gaire, S. Bhardwaj

  • Conference: 2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON)

  • Pages: 1-5

  • Year: 2023

  • Paper Summary: This paper presents an optimized neural network-based framework for solving Maxwell’s equations, significantly reducing computation time in microwave modeling. The PENN model is benchmarked against traditional finite element method (FEM) solvers, demonstrating superior efficiency in electromagnetic simulations.

3. An Ergonomic Wireless Charging System for Integration with Daily Life Activities

  • Authors: D. Vital, P. Gaire, S. Bhardwaj, J.L. Volakis

  • Journal: IEEE Transactions on Microwave Theory and Techniques, Volume 69, Issue 1, Pages 947-954

  • Year: 2020

  • Citations: 26

  • Paper Summary: This study proposes a wireless charging system seamlessly integrated into daily life activities. The design involves an RF-based energy transfer system with optimized rectifiers and antenna arrays, enabling convenient and efficient power delivery for wearable and portable devices.

4. Adhoc Mobile Power Connectivity Using a Wireless Power Transmission Grid

  • Authors: P. Gaire, D. Vital, M.R. Khan, C. Chibane, S. Bhardwaj

  • Journal: Scientific Reports, Volume 11, Article 17867

  • Year: 2021

  • Citations: 9

  • Paper Summary: This paper explores a novel ad-hoc wireless power transfer (WPT) grid for mobile power connectivity. By implementing beamforming techniques in a patch antenna array, the study enables efficient remote power delivery to mobile devices, enhancing energy accessibility in dynamic environments.

5. Data-Free Solution of Electromagnetic PDEs Using Neural Networks and Extension to Transfer Learning

  • Authors: S. Bhardwaj, P. Gaire

  • Journal: IEEE Transactions on Antennas and Propagation, Volume 70, Issue 7, Pages 5179-5188

  • Year: 2022

  • Citations: 6

  • Paper Summary: This work investigates the use of neural networks to solve electromagnetic PDEs without training data. The study demonstrates how physics-informed deep learning models can provide accurate solutions for complex wave propagation problems while enabling transfer learning across multiple electromagnetic scenarios.

Conclusion

Pawan K. Gaire is an exceptional candidate for the Best Researcher Award, demonstrating a unique blend of academic excellence, innovative research, and interdisciplinary expertise. His work in computational electromagnetics, RF systems, and AI-driven electromagnetic modeling has the potential to revolutionize wireless communication and energy transfer technologies. While he already exhibits a strong research impact, further advancements in patents, commercialization, and large-scale research leadership could elevate his recognition in the global research community.

Zahra Seyedzadeh | Supply chain | Best Researcher Award

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Ms. Zahra Seyedzadeh | Supply chain | Best Researcher Award

Zahra Seyedzadeh at Iran university of science and technology, Iran.

Zahra Sadat Seyedzadeh is a dedicated researcher and analyst specializing in industrial engineering, optimization, and systems analysis. She has contributed significantly to research projects in supply chain design, emergency medical services, and machine learning applications. As a distinguished researcher under Iran’s National Elites Foundation, she has been involved in impactful studies on sustainable supply chains, data analytics, and decision-making techniques.

Professional Profile:

Scopus

Education Background

  • Ph.D. in Industrial Engineering (Optimization & Systems Analysis) – Iran University of Science and Technology (2021–Present, Exceptional Talent Admission, GPA: 18.86/20)
  • M.Sc. in Industrial Engineering (Optimization & Systems Analysis) – Iran University of Science and Technology (2017–2019, GPA: 17.79/20)
  • B.Sc. in Industrial Engineering – Ershad University (2013–2017, GPA: 18/20)

Professional Development

Zahra has gained diverse experience across research and industry. She interned at the Institute for Research and Planning in Commerce and served as an Analyst at the Customs Administration of Iran. Recognized as a Distinguished Researcher under the Shahid Ahmadi Roshan Program, she has actively contributed to research and planning initiatives in commerce, logistics, and industrial systems.

Research Focus

Her research focuses on supply chain optimization, decision-making techniques, emergency medical services network design, data mining applications, and machine learning in supply chain forecasting. She has worked extensively on designing robust and sustainable supply chain networks under uncertainty, ranking suppliers, and preprocessing methods for diverse data types.

Author Metrics:

  • Publications in High-Impact Journals, including Science of the Total Environment (IF: 8.2, Q1) and Journal of Industrial and Systems Engineering (Q3)
  • Conference Presentations, including the 17th Iranian International Industrial Engineering Conference on emergency medical services and supply chain disruption management
  • Bibliometric Analysis Expertise using VOSviewer and CiteSpace

Awards and Honors:

  • Distinguished Researcher, Shahid Ahmadi Roshan Program, Iran’s National Elites Foundation
  • Exceptional Talent Admission, Ph.D. Program, Iran University of Science and Technology\

Publication Top Notes

1. Towards a Sustainable Viticultural Supply Chain under Uncertainty: Integration of Data Envelopment Analysis, Artificial Neural Networks, and a Multi-Objective Optimization Model

  • Journal: Science of the Total Environment (Impact Factor: 8.2, Q1)
  • Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Ehsan Dehghani
  • Publication Year: 2025
  • Abstract: This study integrates data envelopment analysis (DEA), artificial neural networks (ANNs), and a multi-objective optimization model to develop a sustainable viticultural supply chain under uncertainty. It provides a robust framework for improving efficiency, resilience, and environmental sustainability in the wine industry.

2.  A Robust Scenario-Based Model for Locating Emergency Medical Services Bases

  • Journal: Journal of Industrial and Systems Engineering (Impact Factor: 0.694, Q3)
  • Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Ehsan Dehghani
  • Abstract: This research proposes a robust scenario-based model for optimizing emergency medical services (EMS) base locations, addressing uncertainty, demand fluctuations, and resource allocation efficiency to enhance emergency response times and service coverage.

3.  Emergency Medical Services Network Design under Uncertainty

  • Conference: 17th Iranian International Industrial Engineering Conference
  • Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli, Saeed Yaghoubi
  • Abstract: The study focuses on designing a resilient EMS network, incorporating stochastic demand modeling and robust optimization techniques to improve emergency response effectiveness in unpredictable environments.

4. Emergency Medical Services Supply Chain Network Design and Backup Services under Disruption

  • Conference: 17th Iranian International Industrial Engineering Conference
  • Authors: Zahra Sadat Seyedzadeh, Mohammad Saeed Jabalameli
  • Abstract: This paper examines EMS network vulnerabilities and proposes a backup service strategy to ensure continuity of care and resource allocation in cases of service disruptions due to disasters or infrastructure failures.

Conclusion

Zahra Sadat Seyedzadeh is a strong candidate for a Best Researcher Award, given her exceptional research output, interdisciplinary expertise, and recognized academic achievements. She has demonstrated high-impact research in supply chain optimization, EMS design, and machine learning applications, with publications in top-tier journals.

To further strengthen her research profile, she could focus on international collaborations, real-world applications of her models, and leadership roles in large research projects. Overall, her contributions to industrial engineering and systems optimization make her a highly deserving candidate for the award.

Mohamed Afify Elnagar | Information Systems | Best Researcher Award

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Mr. Mohamed Afify Elnagar | Information Systems | Best Researcher Award

Assistant General Manager at Damanhour university, Egypt.

Mohamed Afify Elnagar is an accomplished banking professional with extensive expertise in banking storage management, logistics, and data analysis. He currently serves as an Assistant General Manager at the Egyptian Arab Land Bank, where he has been instrumental in enhancing operational efficiency, implementing banking policies, and ensuring compliance with internal controls. With a strong foundation in computer and information systems, he combines strategic decision-making with technological proficiency to optimize banking operations.

Professional Profile:

Google Scholar

Education Background

  • PhD Researcher, Institute of Graduate Studies and Environmental Research, Damanhour University
  • Master’s Degree in Computer and Information Systems, Sadat Academy for Administrative Sciences
  • Diploma in Computer and Information Systems, Sadat Academy for Administrative Sciences

Professional Development

With over two decades of experience in the banking sector, Mohamed Afify Al-Nagar has played a key role in overseeing banking storage operations and logistics management. His leadership in developing operational strategies and ensuring compliance has significantly contributed to the efficiency and quality of banking processes. His expertise extends to anti-money laundering, real estate finance, auditing, and internal control.

Research Focus

His research focuses on banking information systems, financial security, digital transformation in banking, risk management, and environmental sustainability in financial institutions.

Author Metrics:

  • Published works in banking storage management, information systems, and compliance.
  • Contributions to industry reports and research in financial technology and banking operations.

Awards and Honors:

Recognized for his contributions to banking operations and compliance, Mohamed Afify Al-Nagar has received several accolades for excellence in banking strategies, internal control, and financial risk management.

Publication Top Notes

1. Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank

Journal: International Journal of Financial Studies (Impact Factor: 2.5, Q2)

Authors: Mohamed A. Elnagar, Jaber Abdel Aty, Abdelghafar M. Elhady, Samaa M. Shohieb

Publication Year: 2025

Abstract: This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka version 3.0 program. The aim was to identify potential units for targeted marketing, improve customer satisfaction, and contribute to sustainable development goals. By integrating sustainability principles into financing approaches, this research promotes green banking, encouraging environmentally friendly and socially responsible investments. A survey of EALB customers assessed their interest in purchasing homes under the real estate financing program. The results were analyzed with GraphPad Prism version 9.0, with 95% confidence intervals and an R-squared value close to 1, and we identified 13 units (43% of the total units) as having the highest marketing potential. This study highlights data mining’s role in enhancing marketing for the EALB’s residential projects. Combining sustainable financing with data insights promotes green banking, aligning with customer preferences and boosting satisfaction and profitability.

Conclusion

Mohamed Afify Elnagar is a highly qualified candidate for the Best Researcher Award due to his extensive contributions to banking information systems, sustainable finance, and compliance. His real-world impact, interdisciplinary expertise, and research output make him a strong contender. Expanding his global collaborations and publishing in higher-impact journals could further strengthen his profile.

Nikhil Chandra Shil | Accounting | Best Researcher Award

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Dr. Nikhil Chandra Shil | Accounting | Best Researcher Award

Professor at East West University, Bangladesh.

Dr. Nikhil Chandra Shil, FCMA, ACMA (UK), CGMA, CPFA, is a Professor at the Department of Business Administration, East West University, Dhaka, Bangladesh. With nearly two decades of experience in academia and corporate consultancy, he specializes in management accounting, corporate governance, and financial reporting. Dr. Shil actively contributes to professional bodies and serves as a Director of Sadharan Bima Corporation, a government-owned insurance entity.

Professional Profile:

Scopus

Orcid

Google Scholar

Education Background

  • Ph.D. in Accounting & Information Systems, University of Dhaka (2016)

  • MBA in Accounting & Information Systems, University of Dhaka (2003)

  • BBA in Accounting & Information Systems, University of Dhaka (2001)

  • Professional Certifications:

    • Fellow, Institute of Cost and Management Accountants of Bangladesh (FCMA)

    • Associate, Chartered Institute of Management Accountants (ACMA, UK)

    • Chartered Global Management Accountant (CGMA)

    • Chartered Institute of Public Finance and Accountancy (CPFA, UK)

Professional Development

Dr. Shil has held various academic positions at East West University, including Professor, Associate Professor, and Assistant Professor since 2005. He has also worked as a faculty member at American International University-Bangladesh and Daffodil International University. In the corporate sector, he has served as a consultant for organizations like GS Engineering & Construction (South Korea) and Concord Ready-Mix & Concrete Products Ltd. He is currently a Director of Sadharan Bima Corporation and an Advisor to the Institute of Cost and Management Accountants of Bangladesh.

Research Focus

His research focuses on management accounting, corporate governance, financial reporting, public sector reforms, and economic policy. He has published extensively in international journals, book chapters, and conference proceedings.

Author Metrics:

Dr. Nikhil Chandra Shil is a prolific researcher with a strong academic footprint, reflected in his extensive publication record across prestigious international journals, book chapters, and conference proceedings. His work has garnered significant recognition, with numerous citations on platforms such as Google Scholar, ResearchGate, and Publons, highlighting his impact in the fields of management accounting, corporate governance, and financial reporting. His ORCID profile (0000-0001-5540-801X) and presence in research databases like EconPapers, Academia.edu, and Semantic Scholar further establish his authority in academic and professional circles. Through his scholarly contributions, Dr. Shil continues to influence policy-making, industry best practices, and academic discourse on accounting and financial management.

Awards and Honors:

  • Best Paper Award (International & National Conferences)

  • Numerous research grants from World Bank, East West University, and professional institutes

  • Recognized for contributions to accounting education, research, and corporate governance

Publication Top Notes

1. Does the S-curve demonstrate an asymmetrical response to fluctuations in exchange rates?

📌 Authors: S. Ahmad, J. Iqbal, M. Nosheen, N.C. Shil
📌 Journal: Journal of Chinese Economic and Foreign Trade Studies, 17 (2/3), 170-192
📌 Key Highlights:

  • Examines whether trade balances exhibit an asymmetrical response to fluctuations in exchange rates.

  • Utilizes nonlinear ARDL (NARDL) models to capture asymmetric effects.

  • Provides empirical evidence that the S-curve hypothesis does not always hold symmetrically in emerging economies.

2. Beyond symmetry: investigating the asymmetric impact of exchange rate misalignment on economic growth dynamics in Bangladesh

📌 Authors: J. Iqbal, M. Nosheen, S. Ahmed, N.C. Shil
📌 Journal: Macroeconomics and Finance in Emerging Market Economies, 1-22
📌 Key Highlights:

  • Investigates how deviations from equilibrium exchange rates affect economic growth.

  • Uses Markov-switching models and structural break analysis to study macroeconomic adjustments.

  • Concludes that persistent exchange rate misalignment leads to unstable growth patterns in Bangladesh.

3. Global and domestic drivers of inflation: evidence from select South Asian countries

📌 Authors: M. Sajid, A. Ali, S. Ahmad, N.C. Shil, I. Arshad
📌 Journal: Journal of Economic and Administrative Sciences
📌 Key Highlights:

  • Identifies key global (oil prices, trade policies) and domestic (wage inflation, fiscal policy) factors affecting inflation.

  • Applies VAR models to analyze inflation trends.

  • Provides policy recommendations for monetary stability in South Asian economies.

4. Performance measures: An application of economic value added

📌 Author: N.C. Shil
📌 Journal: International Journal of Business and Management, 4 (3), 169-177 (2009)
📌 Citations: 214
📌 Key Highlights:

  • Introduces Economic Value Added (EVA) as a superior performance measure compared to traditional accounting metrics.

  • Uses case studies from manufacturing firms to demonstrate EVA’s impact on investment decisions.

  • Highlights EVA as a value-based management tool for corporate finance.

5. Corporate environmental reporting: An emerging issue in the corporate world

📌 Authors: A.K. Pramanik, N.C. Shil, B. Das
📌 Journal: International Journal of Business and Management, 3 (12), 146-154 (2008)
📌 Citations: 100
📌 Key Highlights:

  • Analyzes corporate environmental disclosure trends in developing economies.

  • Reviews regulatory frameworks for sustainability reporting.

  • Proposes a standardized environmental reporting model for businesses.

Conclusion

Dr. Nikhil Chandra Shil is a strong candidate for the Best Researcher Award due to his remarkable publication record, high citation impact, interdisciplinary expertise, and professional contributions. His research significantly influences corporate governance, financial performance, and economic policies. While he could further enhance international collaborations and policy engagement, his current accomplishments position him as a leading academic in accounting and financial management.

💡 Final Verdict: A highly suitable candidate for the award, with potential for even greater global impact in the future! 🚀

Jean-Daniel Fekete | Visualization | Best Researcher Award

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Dr. Jean-Daniel Fekete | Visualization | Best Researcher Award

Senior Research Scientist at National Institute for Research in Digital Science and Technology (INRIA), France.

Jean-Daniel Fekete is a Senior Research Scientist (Directeur de Recherche 1e Classe) and the Head of the Aviz Inria Team at Inria Saclay, France. He is also a faculty member at Université Paris-Saclay in the Computer Science Department. A pioneer in information visualization, visual analytics, and human-computer interaction, Fekete has made significant contributions to progressive data analysis, network visualization, and interactive systems. He has been an influential researcher and educator, with multiple high-impact publications and awards in visualization research.

Professional Profile:

Scopus

Orcid

Google Scholar

Education Background

1. Habilitation à diriger les recherches (Tenure) – University of Orsay Paris-Sud (2005)

  • Thesis: “Nouvelle génération d’Interfaces Homme-Machine pour mieux agir et mieux comprendre” (Next-generation Human-Computer Interfaces for Better Understanding and Interaction)
  • Jury included Joëlle Coutaz, Saul Greenberg, Ben Shneiderman, Michel Beaudouin-Lafon, among others.

2. Ph.D. in Computer Science – University of Paris-Sud (1996)

  • Dissertation: “Un modèle multicouche pour la construction d’applications graphiques interactives” (A Multilayer Model for Building Interactive Graphical Applications)
  • Research conducted at the Laboratoire de Recherche en Informatique (LRI).

3. DEA (Master’s) in Computer Science – University Paris-8 (1989)

Professional Development

Jean-Daniel Fekete has over 35 years of experience in research, academia, and industry. His career highlights include:

  1. Senior Research Scientist (DR1), Aviz Project-Team, Inria Saclay (since 2013)

    • Leads a research group in visual analytics, network visualization, and human-computer interaction.

    • Developed groundbreaking progressive data analysis methods.

  2. Senior Research Scientist (DR2), Aviz Project-Team, Inria Saclay (2006-2013)

  3. Visiting Scholar

    • New York University – Polytechnic Institute (NYU-Poly) (Sabbatical, 2015)

    • Harvard University (Sabbatical, 2015)

    • Human-Computer Interaction Lab, University of Maryland (2001-2002)

  4. Assistant Professor & Head of the Interactive Design and Modeling Group, Ecole des Mines de Nantes (1996-2001)

  5. Principal Software Architect for “Tic Tac Toon”, a professional animation system, France (1989-1995)

  6. Software Developer & Co-founder, C2V, a French startup in visualization (1987-1989)

  7. Research Assistant

    • INRIA Rocquencourt (1985-1986) – Distributed Operating Systems

    • Centre Mondial de l’Informatique, Paris (1982-1986) – Medical Informatics for developing countries

Throughout his career, Fekete has developed high-impact visualization software, led funded research projects, supervised Ph.D. students, and actively contributed to professional societies like IEEE VIS, ACM SIGCHI, and Eurographics.

Research Focus

Jean-Daniel Fekete’s research focuses on:

  1. Information Visualization & Visual Analytics

    • Techniques for exploring large, complex, and multidimensional data.

  2. Progressive Data Analysis

    • Developing computational methods for scalable real-time data exploration.

  3. Network & Graph Visualization

    • Methods for analyzing social networks, brain connectivity, and dynamic systems.

  4. Human-Computer Interaction (HCI)

    • Designing interactive systems for improved user experience and decision-making.

  5. Machine Learning & Explainable AI (XAI)

    • Enhancing interpretability of AI models through interactive visualization.

His contributions have had applications in healthcare, finance, cybersecurity, and smart cities.

Author Metrics:

Jean-Daniel Fekete has an extensive publication record, with over 200 peer-reviewed papers in top conferences and journals, including:

  • IEEE Transactions on Visualization and Computer Graphics (TVCG)

  • ACM Transactions on Computer-Human Interaction (TOCHI)

  • IEEE InfoVis, IEEE VAST, IEEE VIS, ACM CHI, ACM UIST, EuroVis

Awards and Honors:

Jean-Daniel Fekete is an internationally recognized leader in visualization research, having received numerous prestigious awards, including:

Major International Awards:

  • IEEE VIS Test of Time Award (2024)

  • IEEE VGTC Visualization Technical Award (2020) – Recognizing his lifetime contributions to visualization.

  • IEEE VGTC Visualization Academy Induction (2020)

  • ACM SIGCHI Academy (2020) – A prestigious recognition for leaders in human-computer interaction.

Best Paper & Research Excellence Awards:

  • Best Paper Award – IEEE InfoVis (2008)

  • Best Paper Honorable Mentions at IEEE InfoVis (2012, 2013, 2020)

  • Best Paper – ACM UIST (2016)

  • Best Paper – CHI (2013), IFIP Interact (2013)

Industry & Academic Recognition:

  • Google Research Award (2011) – For advancements in Information Visualization for the People.

  • AMiner Most Influential Scholar Award in HCI (2010-2020)

  • AMiner Most Influential Scholar Award in Visualization (2007-2017)

  • Distinguished ACM Speaker (2014)

  • Certificate of Appreciation from IEEE (2014) – For organizing IEEE VIS as General Chair.

Jean-Daniel Fekete continues to lead cutting-edge research in visualization, data science, and human-computer interaction.

Publication Top Notes

1. Visual Analytics: Definition, Process, and Challenges

  • Authors: D. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer, G. Mélançon
  • Source: Information Visualization: Human-Centered Issues and Perspectives, pp. 154-175
  • Year: 2008
  • Citations: 1805
  • Summary: This paper defines visual analytics, outlines its process, and discusses key challenges in integrating analytical reasoning with interactive visualization.

2.  Nodetrix: A Hybrid Visualization of Social Networks

  • Authors: N. Henry, J.-D. Fekete, M. J. McGuffin
  • Source: IEEE Transactions on Visualization and Computer Graphics, 13(6), 1302-1309
  • Year: 2007
  • Citations: 791
  • Summary: Introduces Nodetrix, a hybrid visualization technique combining node-link diagrams and adjacency matrices to improve the readability of complex social network structures.

3. Visual Analysis of Large Graphs: State‐of‐the‐Art and Future Research Challenges

  • Authors: T. Von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. J. van Wijk, J.-D. Fekete, et al.
  • Source: Computer Graphics Forum, 30(6), 1719-1749
  • Year: 2011
  • Citations: 783
  • Summary: Provides a comprehensive survey on graph visualization, discusses existing techniques, and highlights key challenges for handling large and dynamic graphs.

4. Bi-Scale Density-Plot Enhancement Based on Variance-Aware Filter

  • Authors: H. Bao, X. Chen, K. Lu, C. W. Fu, J.-D. Fekete, Y. Wang
  • Source: Computers & Graphics, 104180
  • Year: 2025
  • Citations: 2
  • Summary: Introduces a bi-scale density-plot enhancement method using a variance-aware filter for improved data visualization in large-scale applications.

5. Middleware for Online Exploration of Big Data

  • Authors: F. Bugiotti, B. Groz, J.-D. Fekete
  • Year: 2024
  • Summary: Discusses middleware solutions enabling efficient and interactive exploration of large datasets in big data analytics environments.

Conclusion

Dr. Jean-Daniel Fekete is an exceptionally qualified candidate for the Best Researcher Award in Visualization due to his pioneering innovations, extensive publication record, leadership in academia, and influential contributions to information visualization.

With continued efforts in industry partnerships, interdisciplinary research, and public outreach, he could further solidify his position as a global leader in visualization research.

✅ Final Verdict: Highly Recommended for the Best Researcher Award. 🚀

Saniye Bilici | Nutrition and Dietetics | Best Researcher Award

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Prof. Dr. Saniye Bilici | Nutrition and Dietetics | Best Researcher Award

Director of Health Sciences Institue at Gazi University, Turkey.

Prof. Saniye Bilici is a distinguished academic and researcher in the field of Nutrition and Dietetics, currently serving as a Professor at Gazi University, Turkey. With a strong background in health sciences, she has made significant contributions to nutrition research, academic leadership, and quality management in healthcare. Her expertise spans various areas, including institutional food services, clinical nutrition, and sustainable dietary practices. She has held several administrative and academic roles, demonstrating her commitment to advancing education and re Nutrition and Dietetics search in her field.

Professional Profile:

Scopus

Orcid

Google Scholar

Education Background

Prof. Bilici earned her Doctorate (Ph.D.) in Nutrition and Dietetics from Hacettepe University, Turkey (1999–2006), where she conducted research on energy expenditure and nutritional status among underground miners. She also completed her Master’s degree in Dietetics (1995–1998) at the same institution, focusing on the relationship between obesity, dietary habits, and breast cancer risk. She obtained her Bachelor’s degree in Nutrition and Dietetics from Hacettepe University (1991–1995), laying the foundation for her distinguished career in nutrition sciences.

Professional Development

Prof. Bilici has over two decades of academic and research experience, starting as a Research Assistant (1997–2006) at Hacettepe University. She later joined Gazi University, where she progressed through the ranks as Assistant Professor (2010–2012), Associate Professor (2012–2019), and Professor (2019–present). She has served in various leadership roles, including Head of the Department of Nutrition and Dietetics (2012–2024), Faculty Board Member, and Senate Member. In 2025, she was appointed Director of the Institute of Health Sciences at Gazi University, further solidifying her influence in the academic and research community.

Research Focus

Prof. Bilici’s research primarily focuses on clinical nutrition, public health nutrition, institutional food services, and sustainable dietary practices. She has led studies on the Mediterranean diet’s impact on multiple sclerosis patients, hospital food service waste management, and the relationship between time-restricted eating and obesity. Her work also explores gut microbiota, circadian rhythm, and their implications for shift workers’ health. She has supervised numerous doctoral and postgraduate theses, contributing significantly to the advancement of nutrition science.

Author Metrics:

Prof. Bilici is a prolific researcher with a strong academic footprint. She has published extensively in peer-reviewed journals indexed in Web of Science and Scopus, with her research widely cited in the field of health sciences and dietetics.

Awards and Honors:

Prof. Bilici has received multiple certifications and awards in recognition of her expertise in quality management, food safety, and clinical nutrition. She has completed specialized training in ISO 9001:2015 Quality Management, Internal Auditing, and Risk-Based Process Management. Her contributions to nutrition education were acknowledged through her certification in Trainer Training (2024). Additionally, she is a certified Gastroenterology Dietitian, highlighting her specialized knowledge in clinical nutrition and patient care.

Publication Top Notes

1. Does the rise in eating disorders lead to increasing risk of orthorexia nervosa? Correlations with gender, education, and body mass index

Authors: N. Sanlier, E. Yassibas, S. Bilici, G. Sahin, B. Celik
Journal: Ecology of Food and Nutrition
Volume: 55(3), Pages 266-278
Citations: 159
Year: 2016

2. Evaluation of dietary quality of adolescents using Healthy Eating Index

Authors: N.A. Tek, H. Yildiran, G. Akbulut, S. Bilici, E. Koksal, M.G. Karadag, N. Sanlier
Journal: Nutrition Research and Practice
Volume: 5(4), Pages 322-328
Citations: 139
Year: 2011

3. Gut-brain-microbiota axis: Antibiotics and functional gastrointestinal disorders

Authors: T. Karakan, C. Ozkul, E. Küpeli Akkol, S. Bilici, E. Sobarzo-Sánchez, et al.
Journal: Nutrients
Volume: 13(2), Article 389
Citations: 127
Year: 2021

4. Toplu beslenme sistemleri çalışanları için hijyen el kitabı (Hygiene Handbook for Mass Catering System Employees)

Author: S. Bilici
Published by: TC Sağlık Bakanlığı Temel Sağlık Hizmetleri Genel Müdürlüğü
Citations: 94
Year: 2008

5. Doğankent Beldesinde Bir Tekstil Fabrikasında Çalışanların Beslenme Durumu (Nutritional Status of Textile Factory Workers in Doğankent)

Authors: F. Tanır, T. Şaşmaz, Y. Beyhan, S. Bilici
Journal: TTB Mesleki Sağlık ve Güvenlik Dergisi
Volume: 2(7), Pages 22-25
Citations: 93
Year: 2001

Conclusion

Prof. Dr. Saniye Bilici is highly suitable for the Best Researcher Award, given her strong research background, leadership in academia, high-impact publications, and contributions to nutrition science. Her work significantly advances public health and clinical nutrition, making her a worthy recipient of this prestigious recognition. By further expanding international collaborations, policy contributions, and industry engagement, she can solidify her position as a global thought leader in Nutrition and Dietetics.