Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

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Prof. Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

University of Oradea | Romania

Prof. Mierlita Daniel is a distinguished Professor of Animal Nutrition at the University of Oradea, with extensive expertise in nutrition and feeding of ruminants and poultry. He began his academic career as an Assistant and Lecturer at USAMV Cluj-Napoca from 1993 to 2003, delivering practical courses in animal nutrition. Since 2009, he has served as Professor and Assistant Professor at the University of Oradea, focusing on applied nutrition for economically important livestock species. He earned his PhD in Animal Nutrition/Animal Science Engineering in 1999 from USAMV Cluj-Napoca and has completed specialized international training in sheep and goat production, agricultural consulting, and rural sciences at institutions including Aberystwyth University, Debrecen Agricultural University, and Swiss REBIAT. Prof. Mierlita has directed eight research grants and participated in over 11 projects on optimizing nutrition and productivity of sheep, poultry, and dairy cows, with a particular focus on functional foods. He has published 231 scientific articles, including 112 as single or first author (93 indexed internationally), 41 ISI papers (21 with impact factor), and 17 books or chapters. His work has received 541 citations from 421 documents, with an h-index of 14. He serves as a reviewer and guest editor for several indexed journals. His research advances animal nutrition, fatty acid profiles in animal products, and sustainable livestock production.

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Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

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Mr. Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

Technical University of Darmstadt | Germany

Ali Raza Shaikh is a dedicated mechanical engineer and researcher specializing in fluid mechanics, heat transfer, ice adhesion, aerodynamics, and surface-interface science. He holds a B.Eng. in Mechanical Engineering, an M.Eng. in Power Engineering and Engineering Thermophysics, and is currently pursuing a Dr.-Ing. in Mechanical Engineering. With extensive research and practical experience, he has developed experimental setups, conducted thermal-fluid and droplet impact studies, and contributed to advancements in superhydrophobic and anti-icing surfaces. He has served as a research assistant in the MSCA-ITN SURFICE project, conducted industrial research internships, and held graduate research positions, collaborating on international projects and presenting findings at leading conferences. His technical expertise spans experimental design, surface characterization, high-speed imaging, and numerical simulations, complemented by proficiency in MATLAB, Python, LabView, CAD, and LaTeX. His research interests focus on ice adhesion dynamics, surface wetting, thermal-fluid interactions, and functional surface design. Ali has actively participated in workshops and training schools worldwide, contributing to knowledge exchange and innovation in engineering applications. His dedication to advancing research and practical solutions in fluid mechanics and surface science underscores his commitment to scientific excellence and technological development.

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Featured Publications


Transient testing of tensile ice adhesion

– Cold Regions Science and Technology, 2025

Ice adhesion dynamics in the tensile mode

– Smart Surface Design for Efficient Ice Protection and Control, 2025

The physics of icing

– Smart Surface Design for Efficient Ice Protection and Control, 2025

Understanding the physics of ice adhesion on complex substrates

– International Conference on Icing of Aircraft, Engines, and Structure, 2023

Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

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Assist. Prof. Dr. Rasha Fouad | Healthcare Data Analysis | Research Excellence Award

 Kind Saud Bin Abdulaziz University for Health Sciences | Saudi Arabia

Prof. Dr. Rasha Fouad is a distinguished nursing scholar with a PhD in Nursing, specializing in community and gerontological health nursing. She earned her Bachelor’s, Master’s, and Doctorate degrees from Alexandria University. With over 29 years of professional experience, she has held key academic and leadership roles, including Professor of Gerontological Nursing, Head of Gerontological Nursing Department, Vice Dean for Community Service and Environmental Development, and Acting Dean. She has also contributed internationally as an Assistant Professor in Jordan and Saudi Arabia. Prof. Fouad has taught a wide range of courses at undergraduate and postgraduate levels, including gerontological nursing, psychosocial aspects of aging, nursing administration, community health, and research methodology. Her research interests focus on gerontological nursing, psychosocial well-being of older adults, community health, and nursing education. She is an active reviewer for several international journals and has conducted numerous workshops on research methods, academic enhancement, and simulation-based learning. Her dedication to advancing nursing education and research has earned her recognition for excellence, inspiring future generations of nursing professionals through her teaching, mentorship, and scholarly contributions.

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Yang Peng | Public Health Analytics | Research Excellence Award

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Dr. Yang Peng | Public Health Analytics | Research Excellence Award

The University of Queensland | Australia

Dr. Yang Peng is an accomplished epidemiologist and Research Fellow at the Epidemiology Division, Cancer Council Victoria, with a strong focus on population health, cardiovascular disease, and cancer epidemiology. He earned his PhD in Epidemiology from The University of Queensland, Australia, following an MMed in Epidemiology and Biostatistics from Guangdong Pharmaceutical University, China, and a BMed in Clinical Medicine from Hebei Medical University, China. Dr. Peng’s professional experience spans roles in cardiovascular outcomes research, Indigenous cancer survival studies, and large-scale international cohort analyses, involving data from over 2 million participants across multiple cohorts. His expertise includes statistical analysis of large-scale linked data, systematic review, meta-analysis, and advanced use of statistical software such as Stata, SAS, and SPSS. He has authored 41 documents, cited 667 times across 649 documents, and holds an h-index of 17, with publications in high-impact journals including Scientific Reports, Stroke, European Heart Journal, and Cancer Epidemiology, Biomarkers & Prevention. His research interests focus on lifestyle factors, cardiovascular health metrics, cancer prevention adherence, stroke and heart failure outcomes, and population-level survival disparities. Through rigorous research, collaborative projects, and evidence-based analyses, Dr. Peng contributes significantly to understanding disease epidemiology, improving public health policies, and guiding preventative strategies globally.

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Francisco Figueiredo | Qualitative Research | Research Excellence Award

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Prof. Francisco Figueiredo | Qualitative Research | Research Excellence Award

Newcastle University | United Kingdom

Prof. Francisco Figueiredo is a distinguished ophthalmologist and Professor of Ophthalmology at Newcastle University, UK, with extensive clinical, academic, and research experience spanning over four decades. He earned his MD from Universidade Federal de Pernambuco, Brazil, followed by a residency in Ophthalmology at Hilton Rocha Eye Institute, and a PhD from the University of Bristol, UK. He is a Fellow of the Brazilian Council of Ophthalmologists and the Royal College of Ophthalmologists, London. Prof. Figueiredo has held prominent positions including Consultant Ophthalmologist at Royal Victoria Infirmary, Newcastle, Honorary Associate Fellow, and Professor at Newcastle University. His clinical expertise encompasses cornea and external eye diseases, cataract, glaucoma, refractive surgery, and ocular imaging, with significant contributions to the development of anterior segment surgical techniques and ocular ultrasound. He has conducted pioneering research in corneal transplantation, graft rejection immunology, and management of post-keratoplasty astigmatism, authoring numerous publications in high-impact journals. His work combines innovative clinical practice with translational research, emphasizing patient-centered care and advanced surgical outcomes. Through decades of teaching, mentoring, and service in ophthalmology, Prof. Figueiredo has significantly influenced clinical practice, training, and research, establishing a legacy of excellence in both national and international ophthalmology communities.

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Aseem Mishra | Descriptive Analytics | Excellence in Research

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Prof. Aseem Mishra | Descriptive Analytics | Excellence in Research

Tata Memorial Centre | India

Dr. Aseem Mishra is a Professor and Surgeon of Surgical Oncology and currently heads Head and Neck Services at the Mahamana Pandit Madan Mohan Malviya Cancer Centre & Tata Memorial Centre, Varanasi. Trained at premier institutions, he completed his MBBS from Vijayanagar Institute of Medical Sciences, MS (ENT) from Grants Medical College with a university 3rd rank, and MCh in Head and Neck Surgery from Tata Memorial Hospital, Mumbai. His professional journey spans roles as Senior Resident, Clinical Fellow, Assistant Professor, Associate Professor, and Professor, reflecting over a decade of dedicated service in head and neck oncology. Dr. Mishra’s clinical expertise includes comprehensive management of head and neck cancers, mandibular reconstruction, post-treatment surveillance, and outcomes research. His research interests focus on oral cancer epidemiology, early detection strategies, tobacco and polysubstance use, imaging-based response assessment, and multidisciplinary treatment approaches. He has contributed extensively to peer-reviewed literature, with 59 documents, 902 citations across 871 citing documents, and an h-index of 16, including publications in Cancer, Journal of Clinical Oncology, BMC Oral Health, and other high-impact journals. He has participated in landmark randomized trials and multi-centre epidemiological studies. Through academic leadership, clinical excellence, and impactful research, Dr. Mishra continues to advance evidence-based head and neck oncology in India.

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Parthiban V | IoT (Internet of Things) Analytics | Research Excellence Award

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Mr. Parthiban V | IoT (Internet of Things) Analytics | Research Excellence Award

Sri Muthukumaran Institute Of Technology | India

Mr. Parthiban V is a seasoned academician with over two decades of teaching experience in the field of Electronics and Communication Engineering. He is currently serving as an Assistant Professor at Sri Muthukumaran Institute of Technology, Chennai. He holds a Ph.D. (pursuing) in VLSI Design from Anna University, Chennai, along with M.E. in Applied Electronics, AMIE in Electronics and Communication Engineering, a Post Diploma in Machine Maintenance from CIPET, and a Diploma in Electronics and Communication Engineering. His academic career spans roles as Instructor, Lecturer, Assistant Professor, and Associate Professor, reflecting progressive professional growth and strong leadership capabilities. He has handled a wide range of subjects including VLSI Design, Wireless Communication, Optical Communication, Microprocessors, Antenna and Wave Propagation, and Computer Networks. His research interests focus on IoT applications, VLSI, wireless communication systems, and embedded technologies. He has published several papers in reputed national and international journals and conferences. His contributions have been recognized through student project funding from the Tamil Nadu State Council for Science and Technology and the Best Nodal Officer Award from the Election Commission of India. With active involvement in academic administration, accreditation processes, and faculty development, he continues to contribute effectively to teaching, research, and institutional development.

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Featured Publications


IOT Based Security System for Bank Vaults


– International Journal for Science and Research in Technology, Vol. 9, Issue 5, May 2023

IOT Based Smart Garbage Monitoring and Classification System


– International Journal for Science and Research in Technology, Vol. 8, Issue 6, June 2022

Design and Implementation of Unmanned Agronomy Seed Sowing Machine Using Solar Panel


– International Journal for Science and Research in Technology, Vol. 8, Issue 3, March 2022

A Personal Emergency Disaster Communication Service for Smart Phones using RF Transmitter


– International Journal of Research in Engineering, Science and Management, Vol. 2, Issue 3, March 2019

Tianli Ding | Social Impact | Research Excellence Award

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Dr. Tianli Ding | Social Impact | Research Excellence Award

Northwest University | China

Dr. Ding Tianli is an Assistant Professor of Law whose scholarship centers on comparative law and intellectual property law, with particular emphasis on patent law, copyright law, and cross-border intellectual property protection. He earned a Doctor of Laws (LL.D.) through a joint doctoral program between Nanjing University and the University of Freiburg, where his training integrated Chinese and European legal traditions and methodologies. His academic experience includes teaching undergraduate and postgraduate courses such as Comparative Law, Intellectual Property Law, and Patent Law, alongside supervising graduate research in comparative legal systems and intellectual property disputes. Dr. Ding has also contributed to curriculum development and the strengthening of intellectual property law as a specialized discipline within legal education. International research experience as a research assistant at the University of Freiburg further enriched his expertise in comparative and international economic law with an East Asian focus. His research addresses the interaction between intellectual property protection, digital transformation, and governance, as well as interdisciplinary issues linking criminal law, psychology, and cognitive impairment. Dr. Ding has published in reputable international journals, reflecting both doctrinal and empirical approaches to contemporary legal challenges. Overall, his work aims to advance comparative legal understanding and support the development of effective intellectual property protection mechanisms in an increasingly globalized and digitalized legal environment.

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Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

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Dr. Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

King Faisal University | Saudi Arabia

Dr. Shaymaa E. Sorour is an Assistant Professor of Computer Science specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with a strong focus on educational technologies and intelligent learning systems. She earned her Ph.D. in Computer Science from Kyushu University, Japan (2016), following an M.Sc. in Computer Education and a B.Sc. in Computer Teacher Preparation with honors. Dr. Sorour has extensive academic experience across teaching, research, quality assurance, and academic advising, serving in faculty roles at King Faisal University, Saudi Arabia, and Kafrelsheikh University, Egypt. Her research integrates data mining, learning analytics, student performance prediction, adaptive and intelligent educational systems, and technology-enhanced learning, with publications in leading international journals and conferences. She has actively contributed to global scholarly communities through sustained participation in IEEE, LNCS, and international education and AI venues. Her scholarly impact includes 486 citations, 49 documents, and an h-index of 11, reflecting consistent contributions to AI in education and learning analytics (486 citations by 441 documents). Among her recognitions, she received a Best Paper Award at an international conference. Dr. Sorour’s work continues to bridge advanced computational intelligence with practical, scalable educational innovation, supporting data-driven decision-making and improved learning outcomes worldwide.

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Razi Al-Azawi | Image Processing | Research Excellence Award

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Prof. Dr. Razi Al-Azawi | Image Processing | Research Excellence Award

University of Technology | Iraq

Prof. Dr. Razi Al-Azawi is a distinguished academic and researcher specializing in informatics, artificial intelligence, and advanced computational systems. He holds dual B.Sc. degrees in Laser and Optoelectronics Engineering from the University of Technology and Mathematical Sciences from Mustansiriah University, an M.Sc. in Modeling and Simulation from the University of Technology, and a PhD in Informatics from Kharkov National University of Radio Electronics. Over a career spanning more than two decades, he has taught a wide range of postgraduate and undergraduate courses, including image processing, deep learning, AI, modeling and simulation, information theory, optimization, probability, web design, and advanced programming. His research interests encompass machine learning, data mining, medical image analysis, laser engineering, cybersecurity, and advanced computational modeling. He has supervised over 50 undergraduate theses and numerous postgraduate dissertations at the Higher Diploma, M.Sc., and PhD levels. His scholarly output includes 16 documents, 264 citations by 257 documents, and an h-index of 6. He has served as a reviewer for several international journals and conferences and holds multiple patents under processing. Through his academic leadership and scientific contributions, he continues to advance innovation in computer science, AI, and engineering domains.

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