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.

Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

Maatouk Khoukhi | Bio Materials | Best Researcher Award

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Assoc. Prof. Dr. Maatouk Khoukhi | Bio Materials | Best Researcher Award

United Arab Emirates University | United Arab Emirates

Assoc. Prof. Dr. Maatouk Khoukhi holds a PhD in Machine Intelligence & Systems Engineering (Tohoku University, Japan 2004), an MSc in Renewable Energy (Algeria 1993) and a BSc in Mechanical Engineering (Algeria 1991). He has held academic appointments at Sultan Qaboos University (Oman), King Fahd University of Petroleum & Minerals (Saudi Arabia), University of Sharjah (UAE) and since 2017 at United Arab Emirates University (UAE) in Architectural Engineering. His research focuses on solar energy systems, building energy conservation, HVAC systems and sustainable built-environment technology. According to his UAEU profile he has produced 36 journal articles and 9 conference contributions (4 conference articles + 2 other papers) to date. Bibliometric data from AD Scientific Index lists his h-index as 16, total citations approximately 772, and about 53 papers with i10-index in that source. He has received multiple awards—including “International Research Scientist Award” (2024), and repeated recognition at UAEU for publishing in the top 5% of journals (2019-2023). In summary, Dr Khoukhi is an accomplished international academic with a strong publication record, recognised research impact, and significant contributions in building energy and solar technology.

Profiles : Scopus | Orcid

Featured Publications

Khoukhi, M., Gomez, A., Dar Saleh, A., Alkaabi, M., & Muhsenah, H. (2024). “Enhancing green building technologies and solutions in UAE university campus: a comprehensive assessment and validation approach.” Buildings.

Khoukhi, M. (2023). “Potential of form-pocketed design in mitigating heat in a university educational glazed-curtained building in the desert climate of UAE.” Energy and Buildings.

Kutty, N., Barakat, D., & Khoukhi, M. (2023). “A French residential retrofit toward achieving net-zero energy target in a Mediterranean climate.” Buildings.

Abdullah, A. K., Darsaleh, A., Abdelbaqi, S., & Khoukhi, M. (2022). “Thermal performance evaluation of window shutters for residential buildings: a case study of Abu Dhabi, UAE.” Energies.

Mohammad, A. F., Dar Saleh, A. F., Khoukhi, M., & Al-Marzouqi, A. H. (2022). “A new method for capturing CO₂ from effluent gases using a rice-based product.” Energies.

Syed Abrar Ahmed | Optical Communication | Best Researcher Award

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Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”

Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

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Dr. Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Yangzhou University | China

Dr. Muhammad Saddam Khokhar is an accomplished academic and researcher specializing in generative artificial intelligence and computer vision. With over a decade of teaching, research, and leadership experience, he has made significant contributions to artificial intelligence, quantum computing, and deep learning. His expertise spans across developing innovative AI-driven solutions, managing academic programs, and mentoring research scholars at undergraduate, postgraduate, and doctoral levels. As an assistant professor and former department chairman, he has been instrumental in advancing artificial intelligence education, accreditation processes, and research-driven innovation in multiple institutions internationally.

Professional Profiles

ORCID

GOOGLE SCHOLAR

Education

Dr. Khokhar earned his Doctorate in Computer Application Technology from Jiangsu University, China, where his dissertation focused on nonlinear optimization and dimensional reduction using advanced Spearman correlation analysis integrated with deep learning models. His research was recognized with an excellent dissertation award for its innovative methodologies. He also holds a Master’s degree in Computer Science and Information Technology with a focus on machine learning, data mining, and software project management, as well as a Bachelor’s degree in Software Engineering, where he developed strong expertise in artificial intelligence, software architecture, and advanced programming techniques.

Experience

With extensive academic and professional experience, Dr. Khokhar has served in multiple teaching and research roles, including Assistant Professor at the College of Artificial Intelligence, Yangzhou University, and Postdoctoral Fellow at the College of Software Engineering, focusing on generative AI projects. He has also chaired the Department of Artificial Intelligence at Dawood University of Engineering and Technology and contributed to curriculum development, laboratory design, and accreditation processes for AI and quantum computing programs. Earlier in his career, he held lecturer positions at leading Pakistani universities and worked as a software engineer, gaining industry insights that enriched his academic pursuits.

Research Interests

His research primarily focuses on generative artificial intelligence, computer vision, deep learning, and nonlinear optimization techniques. Dr. Khokhar has developed innovative models leveraging Spearman correlation analysis for medical image processing, robotic vision, traffic surveillance, and multi-camera monitoring systems. His recent projects explore lightweight generative adversarial networks (IoTGAN), hybrid attention-driven generative frameworks, and blockchain-based secure election systems. He has also actively contributed to discussions on artificial general intelligence, metaverse technologies, and ethical implications of AI in modern societies through various publications and invited talks.

Awards

Dr. Khokhar has been recognized with several prestigious awards for his contributions to innovation, research, and academic excellence. These include the Best Innovation Award for developing a revolutionary AI platform for gene editing and medical technology, multiple academic achievement awards during his doctoral studies, and accolades in application development and research competitions. His work has been published in high-impact journals and presented at international conferences, showcasing his commitment to advancing cutting-edge AI research and practical solutions for global challenges.

Publications

Muhammad Saddam Khokhar, Misbah Ayoub, Zakria, Abdullah Lakhan. (2025). “Advanced Nonlinear Optimization of Low- and High-Resolution Medical Images Using Adaptive Deep Spearman Correlation Analysis (D-SCA) for Pattern Sequence Recognition.” Applied Soft Computing.

Muhammad Saddam Khokhar. (2025). “Energy Harvesting in IoT, Fog, and Blockchain–Thermoelectric Cooling Innovations.”

Muhammad Saddam Khokhar. (2025). “Health Coin: Revolutionizing Global Healthcare with Green Blockchain Technology.”

Zakria Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar. (2022). “Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, et al. (2021). “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network.” Electronics.

Abdullah Lakhan, Mazhar Ali Dootio, Tor Morten Groenli, Ali Hassan Sodhro, Muhammad Saddam Khokhar. (2021). “Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks.” Electronics.

Conclusion

Dr. Muhammad Saddam Khokhar embodies a dynamic blend of academic rigor, innovative research, and leadership in the field of artificial intelligence. His career reflects a commitment to advancing AI education, developing impactful technologies, and contributing to global scientific knowledge. Through his research, publications, and mentorship, he continues to inspire the next generation of AI professionals while fostering interdisciplinary collaborations that bridge technology with societal advancement.