Venkataraman Thangadurai | Anode-Free Batteries | Best Researcher Award

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Dr. Venkataraman Thangadurai | Anode-Free Batteries | Best Researcher Award

University of St Andrew | United Kingdom

Dr. Venkataraman Thangadurai is a distinguished materials chemist and electrochemist internationally recognized for his pioneering contributions to solid-state ionics, fuel cells, and all-solid-state battery technologies. He earned his Doctorate in Solid State Ionic Conductors from the Indian Institute of Science, Bangalore, under the mentorship of Professors J. Gopalakrishnan and A. K. Shukla in 1999, followed by a Habilitation in Solid State Ionic Devices at the University of Kiel, Germany, in 2004, under Professor W. Weppner. Dr. Thangadurai’s academic foundation was laid at the University of Madras, India, where he completed his bachelor’s and master’s degrees in chemistry. Currently, he serves as Professor and Chair in Energy at the University of St Andrews, Scotland, and Adjunct Professor at the University of Calgary, Canada, where he previously held several key roles including Research Excellence Chair and Associate Head (Graduate) of Chemistry. His career also includes prestigious fellowships such as the Alexander von Humboldt Fellowship and DAAD Guest Professorship in Germany. Dr. Thangadurai’s exceptional research excellence has been recognized through numerous international honors, including the 2025 Battery Division Research Award (The Electrochemical Society, USA), Fellowships of the Royal Society of Canada, The Electrochemical Society (USA), Royal Society of Chemistry (UK), and International Association of Advanced Materials (Sweden). A prolific researcher with extensive publications and conference contributions, he continues to advance the frontiers of energy materials, enabling sustainable innovations in electrochemical energy conversion and storage.

Profiles: Scopus |  Orcid | Google Scholar

Featured Publications

"A critical review on bismuth-based oxide ion electrolytes for low temperature solid oxide fuel cells: structure - chemical composition - ionic conductivity relationship"

"Demonstration of a 650 °C operating high-performance metal-supported solid oxide fuel cell using a Gd-doped CeO2 electrolyte, Ni anode and Sm(Ba0.5Sr0.5)Co2−xFexO5+δ–Ce0.9Gd0.1O2−δ cathode"

"Effect of bismuth substitution on structural, electrical and dielectric properties of barium zinc niobates"

"Li-stuffed garnet solid electrolytes: Current status, challenges, and perspectives for practical Li-metal batteries"

"Professor Ashok Kumar Shukla Dedicated to his Contribution to Practical Electrochemistry"

Sagir Muhammad Ahmad | Network Security | Best Researcher Award

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Mr. Sagir Muhammad Ahmad | Network Security | Best Researcher Award

Cranfield University, Cranfield | United Kingdom

Mr. Sagir Muhammad Ahmad is an ambitious and dedicated researcher with strong expertise in simulation, mathematical modeling, and hardware security of IoT devices. He is currently pursuing a PhD in Transport Systems at Cranfield University, UK, focusing on “Trusted Drones for Infrastructure Testing.” His research aims to develop scalable, lightweight, and tamper-resilient trust mechanisms for drone swarms operating in decentralized and adversarial environments, integrating MATLAB/SIMULINK simulations and Python-based algorithms to ensure security, scalability, and defense against attack models. With a Distinction in MSc Engineering Management from the University of Greenwich, UK, and a BSc in Marine Engineering from the Arab Academy for Science, Technology and Maritime Transport, Egypt, he has built a strong multidisciplinary foundation. His academic achievements are complemented by professional experience with the Nigerian Ports Authority, where he served under the ICT Department, and hands-on sea training aboard the Aida 4 vessel in Alexandria, Egypt. Known for his hardworking, sociable nature and passion for collaboration across cultures, Mr. Ahmad aspires to contribute to academia and industry through innovative research and real-world engineering applications.

Profiles: Orcid

Featured Publications

"Building Trust in Autonomous Aerial Systems: A Review of Hardware-Rooted Trust Mechanisms"

Ivan Marović | Project Management | Best Researcher Award

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Dr. Ivan Marović | Project Management | Best Researcher Award

University of Rijeka, Faculty of Civil Engineering | Croatia

Dr. Ivan Marović, a distinguished academic at the University of Rijeka, Faculty of Civil Engineering, has dedicated over twenty years to advancing research and education in the field of civil engineering, progressing from research assistant to full professor. His expertise lies in Project Management, particularly in management information systems, multi-criteria decision analysis, and soft computing methods. A recipient of numerous prestigious awards-including the Best Doctoral Thesis Award from the Croatian Association of Civil Engineers, the Vera Johanides Award from the Croatian Academy of Technical Sciences, the UNIRI Foundation Award for young interdisciplinary scientists, several scientific and teaching awards from UNIRI and GRADRI, and the Global Peer Review Award (Clarivate Analytics) for ranking among the top 1% of reviewers globally in Environment and Ecology as well as Cross-Field-Dr. Marović has made remarkable contributions to both academia and research innovation. His current and past research projects span critical areas such as climate change adaptation for coastal structures, performance management in construction using soft computing, artificial intelligence applications in project planning, and sustainable urban management. Notable projects include COS, GAIA COFUND, PerfMAN, CRESCO Adria, and DSC4SUM, among others, all under the aegis of prestigious funding schemes such as Horizon Europe, INTERREG V-A Italy–Croatia, and the University of Rijeka’s Experienced Researchers Grant Scheme. Through his interdisciplinary research and leadership, Dr. Marović continues to shape innovative methodologies that enhance the resilience, efficiency, and sustainability of civil engineering practices.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Application of multi-criteria decision-making methods in the selection of a sustainable solution in urban planning"

"Hybrid urban block: The end outcome of the city's filling and extension"

"The Role of the Built Environment in Achieving Sustainable Development: A Life Cycle Cost Perspective"

"Making Informed Choices: AHP and SAW for Optimal Formwork System Selection"

"Understanding and Quantifying the Impact of Adverse Weather on Construction Productivity"

Kumail Abbas | Technological Networks | Best Researcher Award

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Dr. Kumail Abbas | Technological Networks | Best Researcher Award

Chulalongkorn University | Thailand

Dr. Kumail Abbas is a veterinary scientist and researcher specializing in precision livestock farming, animal health, and welfare technologies. He is currently pursuing his Doctor of Philosophy in Veterinary Science and Technology at Chulalongkorn University, Thailand, where his doctoral research focuses on employing artificial intelligence to track and monitor dairy cow behaviour during the transition period to predict postpartum disorders. As a Visiting Researcher at the Bristol Vet School, University of Bristol, and University of Salford (UK), Dr. Abbas contributes to the British Dairy Cattle Welfare Strategy (2023–2028) through AI-based behavioural monitoring and data-driven welfare benchmarking. He holds a Master’s in Bioscience Technology from Chung Yuan Christian University, Taiwan, where he investigated the neurophysiological and toxicological effects of ractopamine in zebrafish models, and a Doctor of Veterinary Medicine (DVM) from the University of Veterinary and Animal Sciences, Lahore, Pakistan. His professional experience spans academia, industry, and farm management, including roles as Graduate Research Assistant at Chung Yuan Christian University, Product Information Officer at Prix Pharmaceutica (Pvt.) Ltd., and Assistant Farm Manager at Kasur Dairies Pvt. Ltd., where he developed strong expertise in animal reproduction, health management, and sustainable dairy operations. Dr. Abbas’s research integrates AI, deep learning, and animal behaviour analysis to promote sustainable livestock production. He has received multiple awards and grants, including the Second Century Fund (C2F) Doctoral Fellowship, the 90th Anniversary Ratchadaphisek Somphot Endowment Fund, and the Biotech Excellent Award for academic excellence. His work has been published in international journals and presented at global conferences, reflecting his commitment to advancing innovation in animal science, digital agriculture, and welfare-oriented livestock technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Impacts of early postpartum behavioral patterns on the fertility and milk production of tropical dairy cows"

"Behavioral Adaptations in Tropical Dairy Cows: Insights into Calving Day Predictions"

"Ractopamine at the Center of Decades-Long Scientific and Legal Disputes: A Lesson on Benefits, Safety Issues, and Conflicts"

"Evaluation of Effects of Ractopamine on Cardiovascular, Respiratory, and Locomotory Physiology in Animal Model Zebrafish Larvae"

"Sex determination by CHD (Chromo helicase DNA binding) gene in local rock pigeons (Columba livia) from Lahore, Pakistan"

Esra Uray | Geotechnical Optimization | Best Researcher Award

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Dr. Esra Uray | Geotechnical Optimization | Best Researcher Award

KTO Karatay University | Turkey

Dr. Esra Uray is a civil engineering researcher currently serving as a Visiting Researcher in the Department of Civil and Environmental Engineering at the University of California, Los Angeles since July 2024. She has been an Assistant Professor at KTO Karatay University in Konya, Turkey, since November 2020, following her tenure as a Research Assistant in the same department from 2013 to 2020. Dr. Uray has supervised numerous graduate theses on topics including machine learning applications in soil parameter estimation, retaining wall design optimization, and the effects of additives on cement-improved soils. Notable works under her guidance include studies on artificial intelligence-supported design tools, parametric investigations of groundwater effects on retaining walls, soil bearing capacity mapping, and the application of statistical and experimental methods to civil engineering challenges. Her research focuses on integrating advanced computational techniques with practical civil engineering solutions to improve design, safety, and sustainability in infrastructure projects.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Mathematical Approach Integrating Surrogate Models in Heuristic Optimization for Gabion Retaining Wall Design"

"SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization"

"Investigation of Parametric Effect in Optimum Retaining Wall Design Using Harmony Search Algorithm"

"Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems"

"Dynamic Loads and Different Soil Characteristics Examination on Optimum Design of Cantilever Retaining Walls Utilizing Harmony Search Algorithm"

Anani Aila Mat Zin | Neurobehaviour | Excellence in Academic Research Award

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Dr. Anani Aila Mat Zin | Neurobehaviour | Excellence in Academic Research Award

Universiti Sains Malaysia | Malaysia

Dr. Anani Aila Mat Zin is a distinguished medical professional and academic specializing in histopathology, cytopathology, and neuropathology. She obtained her Doctor of Medicine and Master of Pathology degrees from Universiti Sains Malaysia (USM) and later earned a Fellowship from the International Academy of Cytology (FIAC), Germany, with advanced training in clinical neuropathology at JCMT, Tokyo, Japan. Her career began as a house officer and medical officer in general medicine at Hospital Universiti Sains Malaysia, progressing to trainee lecturer and later lecturer/pathologist in the field of anatomic pathology at USM. With extensive research experience, Dr. Anani has supervised numerous postgraduate projects focusing on cytology, neuropathology, and general pathology, including studies on stingless bee propolis, royal jelly, xylene toxicity, and genetic factors in obesity-related colorectal carcinoma. She has also served as an examiner and viva voce panel member for various postgraduate pathology and surgical examinations across Malaysian universities, contributing significantly to medical education and research assessment. Her commitment to advancing diagnostic pathology and mentoring emerging scientists underscores her vital role in the academic and medical research community.

Profiles: Scopus | Google Scholar

Featured Publications

"Epigenetic role in Salivary Gland Tumours: Insights into DNA Methylation and Molecular Complexity"

"Novel cytochrome c-oxidase deficiency and mitochondrial myopathy in non-syndromic cleft lip with or without palate"

"Sporadic Right Lumbar Intraabdominal Desmoid Tumor: A Case Report"

"Impact of time-restricted feeding on glycemic indices, vascular oxidative stress, and inflammation in an obese prediabetes rat model induced by a high-fat diet and sugar drink"

"Pre-clinical acute oral toxicity and subacute neurotoxicity risk assessments on sprague dawley rats treated with single dose or repeated doses of flavonoid-enriched fraction extracted from Oroxylum indicum leaves"

Mohammed Amran | Product Innovation | Young Researcher Award

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Mr. Mohammed Amran | Product Innovation | Young Researcher Award

The University of Dodoma | Tanzania

Mr. Mohammed A. Amran is a dedicated chemist and researcher specializing in organic and sustainable materials. He earned his Bachelor of Science in Chemistry from the University of Dodoma (UDOM), where he received the Overall Best Project in Chemistry Award in 2022 for his outstanding research achievements. Continuing his academic journey, he completed a Master of Science in Chemistry with a specialization in organic materials at the State University of Zanzibar (SUZA) in December 2024. Mr. Amran’s pioneering research on seaweed-based bioplastics, under the project “The Potential of Native Seaweed as an Alternative Source of Bioplastic to Mitigate Climate Change,” earned him recognition and led to a granted patent titled “A Seaweed-Based Renewable Resources Bioplastic and Production Methods Thereof” (Patent No. TZ/P/2024/00105). He currently serves as an Assistant Lecturer at UDOM (2025–present), specializing in material sciences and organic materials, having previously worked as a Tutorial Assistant in Organic Chemistry (2023–2024). His professional experience also includes roles as Assistant Quality Controller at Lootah Group of Companies in Zanzibar and Senior Census Clerk at the National Bureau of Statistics during Tanzania’s 2022 national census. Mr. Amran has presented his research at leading forums such as the International Conference in Science, Technology, and Innovation (ICST) in Dodoma (2024) and the 9th STICE Conference in Dar es Salaam, contributing to the advancement of renewable packaging materials. Skilled in forensic chemical analysis, natural polymer extraction, quality control, and sustainable material synthesis, he has further honed his expertise through certified courses offered by Elsevier’s Researcher Academy and other industrial training programs. A multidisciplinary researcher, Mr. Amran’s work lies at the intersection of environmental sustainability, green chemistry, polymer science, and renewable materials, with a vision to combat plastic pollution and climate change through innovative bioplastic technologies and cross-sectoral collaboration.

Profiles: Scopus

Featured Publications

"Assessment of baseline physicochemical qualities of carrageenan-based bioplastics from Kappaphycus alvarezii seaweed for their packaging applications"

Ali Nikoutadbir | Intelligent Transportation Systems | Young Researcher Award

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Mr. Ali Nikoutadbir | Intelligent Transportation Systems | Young Researcher Award

Tarbiat Modares University Faculty of Electrical and Computer Engineering | Iran

Ali Nikoutadbir is a motivated and results-driven MSc graduate in Electrical Engineering with over six years of research experience in securing cyber-physical systems (CPS), particularly focusing on multi-agent systems and intelligent transportation networks. His expertise lies in developing innovative graph-theoretic and optimization-based algorithms to tackle challenges in distributed coordination control, event-triggered control, and the resilience of industrial CPS. As a Research Assistant at the Control System Science Lab, Tarbiat Modares University, Tehran, Iran (2020–2023), he designed and implemented a novel secure event-triggered control framework for vehicular platoons to counter dual deception attacks, including false data injection and global manipulation. He also developed static and dynamic event-triggering schemes ensuring secure consensus under stringent attack constraints and introduced a topology-switching strategy based on Schur stability to enhance system resilience. His theoretical advancements were validated through extensive MATLAB/Simulink simulations. Ali’s published work, including “Secure event-triggered control for vehicle platooning against dual deception attacks,” forms the foundation of his contributions to CPS security. His research expertise encompasses securing multi-agent networks against deception attacks using graph-theoretic and optimization-based methodologies, stability analysis, and end-to-end system modeling, design, and validation.

Profiles: Google Scholar

Featured Publications

"Secure event-triggered control for vehicle platooning in the presence of modification attacks"

"Secure event-triggered control for vehicle platooning against dual deception attacks"

"Estimation of the error caused by the vibration of the radar in the SAR radar aperture using the analytical condition empirical method"

Laina Ageliki | Cardiology | Best Researcher Award

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Dr. Laina Ageliki | Cardiology | Best Researcher Award

National and Kapodistrian University of Athen | Greece

Dr. Laina Ageliki completed her medical studies at the Aristotle University of Thessaloniki in 2012 and holds a Medical Association License in Athens (Protocol No. 188289/2586). She earned an MSc in Cardiopulmonary Resuscitation from the National and Kapodistrian University of Athens (2013–2015, grade A) and is currently pursuing a PhD in Medicine on “The role of proteasome inhibition in vascular function and atherosclerosis in humans” at the University of Athens. Her clinical experience includes serving as a rural service doctor in Tzoumerka, completing residencies in Internal Medicine at “Amalia Fleming” General Hospital (2013–2016) and in Cardiology at the 1st Cardiology Department, Hippokration Hospital, Athens (2018–2023), followed by a scientific associate position in the Electrophysiology Laboratory (2023–2025) and currently a cardiac electrophysiology and pacing fellowship at Clinique Pasteur, Toulouse, France. Dr. Ageliki has actively contributed to multiple clinical trials, including RELAX-HF, PAVE-AF, ReCONSIDER, READAPT, Librexia AF, Protect ICD, and the Enlighten EV-ICD registry. She has received recognition for her research, including the Best Oral Announcement at the 29th Congress of the Hellenic Society of Haematology (2018) and a scholarship from the Hellenic Foundation for Research & Innovation (ELIDEK, 2016). Additionally, she has authored book chapters on cardiovascular topics and contributes to the Greek medical journal HEART and VESSELS.

Profiles: Orcid ID | Scopus

Featured Publications

"CRT-D or CRT-P: When There Is a Dilemma and How to Solve it"

"Clinical, Electrocardiographic and Echocardiographic Predictors of Atrial Fibrillation Recurrence After Pulmonary Vein Isolation"

"Aggressive Rhythm Control Strategy in Atrial Fibrillation Patients Presenting at the Emergency Department: The HEROMEDICUS Study Design and Initial Results"

"Cardiac mechanics in response to proteasome inhibition: a prospective study"

"Cardiovascular Toxicity of Proteasome Inhibitors: Underlying Mechanisms and Management Strategies: JACC: CardioOncology State-of-the-Art Review"

Kexue Sun | Graph Data Structures | Best Researcher Award 

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Prof. Kexue Sun | Graph Data Structures | Best Researcher Award 

Nanjing University of Posts and Communications | China

Prof. Kexue Sun is a distinguished Professor at the School of Electronic and Optical Engineering and the School of Flexible Electronics (Future Technologies), Nanjing University of Posts and Telecommunications (NJUPT). He earned his Ph.D. in Acoustics from the School of Physics, Nanjing University (2012–2018), an M.E. in Software Engineering from the Beijing University of Posts and Telecommunications (2004–2006), and a B.E. in Electronic Information Engineering from the Artillery Academy of the Chinese People's Liberation Army, Hefei (1998–2002). Prof. Sun has served NJUPT in various academic roles, including Lecturer (2007–2013), Associate Professor (2013–2020), and currently as Professor since 2020, with international experience as a Visiting Scholar at the Chinese University of Hong Kong (2018–2019). He is an active member of IEEE, a technical expert for high-tech enterprises in Jiangsu Province, and a review expert for the Degree and Graduate Education Development Center of the Ministry of Education, while also serving on the Specialized Committee on Biomedical Information Detection and Processing of the Jiangsu Society of Biomedical Engineering. His research spans Electronic Technology, FPGA Applications, Electrical and Electronic Experiments, Optoelectronic Information Materials, and Acoustic Devices. Prof. Sun has participated in over ten national and enterprise research projects, co-authored one monograph and seven textbooks, published more than 100 academic papers, and holds over 20 authorized Chinese invention patents. Additionally, he has made significant contributions to higher education research and teaching reform, leading more than ten national and provincial projects, publishing over 20 papers in this field, and earning prestigious honors such as the Teaching Model Award, the First Prize for Teaching Achievements at NJUPT, and the Special Prize for Teaching Achievements of Jiangsu Province.

Profiles: Orcid ID

Featured Publications

"Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution"

"Heart Sound Classification Network Based on Convolution and Transformer"

"Optimization of Indoor Luminaire Layout for General Lighting Scheme Using Improved Particle Swarm Optimization"