Gitika Sharma l Oral pathology | Research Excellence Award

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Assist. Prof. Dr. Gitika Sharma l Oral pathology | Research Excellence Award

Sudha rustagi college of dental sciences and research | India

Assist. Prof. Dr. Gitika Sharma is an oral pathologist and academic researcher with strong training in diagnostic pathology, molecular research, and undergraduate teaching. She holds BDS and MDS degrees in Oral Pathology and has professional experience as junior resident, senior resident, and faculty, with extensive involvement in teaching and academic mentoring. Her research interests focus on oral squamous cell carcinoma, salivary gland tumors, immunohistochemistry, molecular diagnostics, cell culture, and drug testing. Her research skills include histopathological evaluation, ELISA, immunohistochemistry, systematic reviews, meta-analysis, and scientific writing, supported by numerous peer-reviewed publications and a scholarly book, reflecting sustained contributions to oral pathology research and clinical diagnostics.

Citation Metrics (Scopus)

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Citations
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Mahmoud Ahmad l Water Management Resources | Excellence in Research

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Mr. Mahmoud Ahmad l Water Management Resources | Excellence in Research

Széchenyi István University | Hungary

Mr. Mahmoud Ahmad is a PhD student in Civil Engineering at Széchenyi István University with academic and professional expertise in water management resources and civil engineering practice. His education includes a PhD in progress, an MSc in Water and Irrigation Engineering, and a BSc in Civil Engineering, supported by strong academic distinction. His professional experience covers lecturing in water and irrigation engineering at Tishreen University and managing post-earthquake construction projects as a site civil engineer. Mr. Mahmoud Ahmad’s research interests focus on groundwater–surface water interaction, water resources management, and climate-change adaptation, supported by advanced modeling, GIS-based analysis, and recognized academic awards, reflecting strong potential for impactful research and practice.

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Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

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Mr. Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

University of Buner | Pakistan

Mr. Maaz Ali Khan is a mathematician specializing in solid mechanics with strong expertise in continuum mechanics, thermoelasticity, mathematical physics, and computational solid mechanics. Mr. Maaz Ali Khan holds a PhD in Mathematics from Qurtuba University of Science and Technology, an M.Phil. from COMSATS University Islamabad, and a BS in Mathematics from the University of Swat with outstanding academic performance and top academic honors. Mr. Maaz Ali Khan is serving as a Lecturer at the University of Buner, teaching undergraduate and postgraduate mathematics and mechanics courses. Mr. Maaz Ali Khan has authored multiple high-impact research publications, demonstrating advanced research skills in mathematical modeling, wave propagation, thermoelastic theories, and applied solid mechanics research.

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Featured Publications

Khan, M. A., Moussa, S. B., Jahangir, A., & Riaz, U. (2025).
Microstructure-Driven Wave Energy Control in Temperature-Dependent Fiber-Reinforced Composites: A Unified Micropolar Thermoelastic Model and Data-Driven Design.
Results in Engineering, 108811.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025).
Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects.
Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025).
Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model.
Case Studies in Thermal Engineering, 106926.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(2), 278–287.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Erratum to: Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(3), 592.

Deme Hirko l Water Engineer | Research Excellence Award

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Dr. Deme Hirko l Water Engineer | Research Excellence Award

 Jimma University | Ethiopia

Dr. Deme Hirko is a motivated, results-oriented civil engineer with a PhD (defended November 2025, Stellenbosch University) and over 10 years of academic and research experience in water resources engineering, hydrology, and climate change modelling. His education spans a PhD in Civil Engineering, an MSc in Water Resources and Irrigation Engineering, and a BSc in Hydraulic and Water Resources Engineering. Professionally, Dr. Deme Hirko has served as lecturer, teaching assistant, hydrology analyst, site engineer, and departmental coordinator. His research interests include climate-resilient water allocation, hydrological modelling, and AI applications. He possesses strong skills in machine learning, WEAP, Python, GIS, and HPC, has supervised numerous theses, received institutional recognition for leadership, and is committed to advancing sustainable, data-driven water management through postdoctoral research.

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Ruoyi Li | Government and Public Policy Analysis | Research Excellence Award

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Ms. Ruoyi Li | Government and Public Policy Analysis | Research Excellence Award

Xiamen University | China

Ms. Ruoyi Li is a dedicated Ph.D. candidate in Public Administration at Xiamen University, focusing on government regulation, policy analysis, and sustainable development under the “Dual‑Carbon” goals. She holds dual Master’s degrees from the Australian National University in Digital Humanities & Public Culture and General & Applied Linguistics, and a Bachelor’s degree in Teaching Chinese as a Foreign Language from Jiangxi Normal University, where she graduated with distinction and received multiple scholarships and awards. Her research expertise spans policy evaluation, environmental economics, cross‑strait regional development, and technological impacts on organizational structures. Ms. Li has participated in high-impact research projects, including field investigations and policy reports for local government integration initiatives in Pingtan, and has collaborated with institutions such as the Environmental Economics & Policy Lab (Peking University and University of Chicago), Global Environmental Institute, and major energy corporations. She has authored peer-reviewed articles in Finance Research Letters as first and corresponding author and contributed to numerous working papers on cultural heritage, digital humanities, and museum studies. Skilled in fieldwork, in-depth interviews, data analysis, and ontology engineering, she combines interdisciplinary knowledge with practical research application. Ms. Li’s work bridges public administration, environmental policy, and digital culture, contributing to evidence-based governance, sustainable development, and innovative knowledge representation.

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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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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

Xinyu Liu | Regression Analysis | Young Innovator Award

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Dr. Xinyu Liu | Regression Analysis | Young Innovator Award

Peking University | China

Dr. Xinyu Liu is a postdoctoral researcher specializing in Microeconomics, Development Economics, and Finance, with a particular focus on e-commerce, consumption behavior, entrepreneurship, housing demolition, and cross-shareholding in China. Dr. Liu earned a Ph.D. in Management (Agricultural Economics and Management) from Peking University, with a dissertation examining the impact of e-commerce on rural residents’ sales and consumption, and a B.E. in Economics from Southwestern University of Finance and Economics. Currently, Dr. Liu is a postdoctoral fellow at the China International Capital Corporation (CICC) Global Institute and Fudan University, exploring cross-shareholding and firm innovation under the guidance of senior economists. Dr. Liu also served as a short-term consultant at the World Bank, analyzing fertility preferences. With five publications, including in Economic Development and Cultural Change, Cities, and PNAS Nexus, Dr. Liu’s work has been cited 30 times across 30 documents, achieving an h-index of 2. Recognized for academic excellence, Dr. Liu has received multiple awards, including the Peking University Second-Class Scholarship and Best Paper Awards at international conferences. Current research explores digital transformation in agriculture, rural e-commerce expansion, and the economic consequences of housing demolition. Dr. Liu’s research contributes to sustainable and inclusive economic development in China and beyond.

Profile : Scopus

Featured Publications

Wang, X., Ren, Y., Yamauchi, F., Huang, J., & [Author]. (2025). “The power of the anti-corruption campaign: Evidence from cigarette and alcohol consumptions in China.” Economic Development and Cultural Change, 73(2), 941–977.

He, Z., Shi, X., Sun, X., & [Author]. (2024). “Housing demolition and entrepreneurship: Evidence from China.” Cities, 152, 105201.

Wang, X., Min, S., Jin, S., Huang, J., & [Author]. (2025). “The influence of improved wheat and maize varieties on infant mortality in China.” PNAS Nexus, 4(2), pgaf048.

Huang, J., Su, L., Huang, Q., & [Author]. (2022). “Facilitating inclusive ICT application and e-commerce development in rural China.” Agricultural Economics, 53(6), 938–952.

Samaneh Saeedinia | Engineering | Best Researcher Award

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Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.