Dr. Yan Zhao | Robotic Surgery Systems | Research Excellence Award

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Dr. Yan Zhao | Robotic Surgery Systems | Research Excellence Award

Xuzhou Cancer Hospital | China

Dr. Yan Zhao is a Deputy Chief Urologist at Xuzhou Cancer Hospital, Jiangsu, China, with over a decade of clinical experience in urology. He obtained his Master of Clinical Medicine from Nanjing Medical University and is currently pursuing a Doctor of Clinical Medicine at Soochow University. His clinical expertise includes the diagnosis, Robotic Surgery Systems and treatment of common and complex urological diseases, with strong proficiency in performing routine urological surgeries independently. In addition to clinical practice, he is actively engaged in medical research and has published 9 SCI-indexed papers in the field of urology. He is a member of several professional societies in Jiangsu and Xuzhou, has received municipal research and teaching grants, and was awarded the Second Prize for Technological Progress in Huaihai. He also serves as a junior editor and reviewer for international medical journals.

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Mr. Murtaza Hussain | Vision Language Model | Research Excellence Award

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Mr. Murtaza Hussain | Vision Language Model | Research Excellence Award

Kumoh National Institute of Technology | South Korea

Murtaza Hussain is a Master’s student in IT Convergence Engineering at Kumoh National Institute of Technology, South Korea, and a Research Assistant at the WENS Lab specializing in deep learning, computer vision, and ROS2-based systems. His research focuses on 2D/3D object detection and segmentation, vision–language models, multi-modal learning, Vision Language Model and edge AI deployment on Jetson devices. He has developed real-time AI solutions for cardiac ultrasound analysis, smart farming with UxV swarms, industrial inspection, and safety monitoring, achieving high accuracy and real-time performance. Murtaza is the first author of accepted international journal and conference papers, including works in Neurocomputing and ICUFN, and has ongoing submissions to the IEEE Internet of Things Journal.

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Prof. Steven Weidong Su | Rehabilitation Robot | Research Excellence Award

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Prof. Steven Weidong Su | Rehabilitation Robot | Research Excellence Award

University of Technology Sydney | Australia

Prof. Steven Weidong Su is a Professor of Control Engineering and Medical Informatics with many years of academic experience across Australia and China. He holds a PhD in Control Engineering from the Australian National University and is currently affiliated with the University of Technology Sydney, FEIT, while serving as Associate Dean Teaching & Research at Shandong First Medical University. His research focuses on rehabilitation robotics, medical artificial intelligence, biomedical signal processing, Rehabilitation Robot and human–machine co-adaptation. Professor Su has led more than 15 competitive national and international research projects and has published over 100 peer-reviewed journal papers indexed in SCI/Scopus, with more than 5,000 citations. He holds multiple patents in rehabilitation robots and wearable sensing technologies, has authored a research monograph, and serves in editorial and senior program committee roles for leading international conferences and journals.

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Mr. Ardan Zhanegizov | Biomedicine | Research Excellence Award

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Mr. Ardan Zhanegizov | Biomedicine | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Ardan Zhanegizov is an emerging researcher in Machine Learning and Computer Vision specialist based in Almaty, Qazaqstan, with strong academic and practical experience in AI-driven data analysis and software engineering. He holds a Master’s degree in Computer Science from the University of Wollongong, Australia, supported by the Bolashak Scholarship, and a Bachelor’s degree in Computer Science from Nazarbayev University. His expertise spans machine learning, computer vision, data mining, Biomedicine and deep learning, with hands-on experience using PyTorch, TensorFlow, Keras, and OpenCV. His capstone project focused on Sign Language Recognition, achieving high accuracy on ASL and Auslan datasets, alongside research in Human Action Recognition and sentiment analysis. Currently working as a Machine Learning Engineer at the Institute of Information and Computational Technologies, he contributes to AI models for medical image analysis and signal processing. His background also includes cloud deployment, DevOps practices, and prior roles in software quality assurance and research assistance, with a published article on facial expression recognition using edge computing.

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Prof. Dr. Zhiliang Lu | Bio-Inspired Robot Design | Research Excellence Award

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Prof. Dr. Zhiliang Lu | Bio-Inspired Robot Design | Research Excellence Award

Xi'an Jiaotong-Liverpool University | China

Prof. Dr. Zhiliang Lu is a distinguished bioscientist and biomedical researcher with extensive expertise in pharmacology, GPCR biology, and cell signaling. He is currently a Professor of Biological Sciences at Xi’an Jiaotong-Liverpool University , where he also serves as Deputy Head of the Department of Biological Sciences and Director of the Suzhou Municipal Key Laboratory of Cancer Biology and Chronic Disease. After completing his BSc and MSc at Zhejiang University, he earned his PhD in Medicine from Shanghai Jiao Tong University, focusing on G protein-coupled receptors, a central target in drug discovery. Professor Lu has held prestigious research positions at the UK Medical Research Council, including Tenured Programme Leader at the University of Edinburgh, following a Wellcome Trust Postdoctoral Fellowship. His research centers on GPCR signaling, NanoBRET technology, neuropeptide receptors, cancer biology, and mRNA methylation regulation. He has authored over 100 peer-reviewed publications, holds patented technologies in drug screening, Bio-Inspired Robot Design and supervises postgraduate researchers internationally, including as an honorary professor at the University of Liverpool.

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Assist. Prof. Dr. Ali Jafar | Rhinology | Research Excellence Award

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Assist. Prof. Dr. Ali Jafar | Rhinology | Research Excellence Award

Kuwait University | Kuwait

Assist. Prof. Dr. Ali Jafar is a Clinical Assistant Professor of Otolaryngology–Head and Neck Surgery at Kuwait University, specializing in facial plastic and reconstructive surgery, rhinology, and skull base surgery. He completed advanced fellowships in Facial Plastics and Reconstructive Surgery and Neuro-Rhinology and Skull Base Surgery at the University of Texas Health Science Center, McGovern School of Medicine. Dr. Jafar completed his Otolaryngology–Head and Neck Surgery residency at the University of Ottawa, Canada, and holds an MSc in Surgical and Interventional Sciences from University College London. He earned his medical degree with First Class Honors from the Royal College of Surgeons in Dublin. His clinical experience includes service as a staff physician at Queensway Carleton Hospital in Ottawa and earlier roles within Kuwait’s Ministry of Health. He is licensed to practice medicine in Texas, Rhinology, Ontario, and Kuwait and is actively involved in medical education and academic clinical practice.

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Semi-Automated Virtual Endoscopy of the Frontal Recess


– Annals of Otology, Rhinology & Laryngology, 2025

The Role of Virtual Endoscopy in Surgical Practice of Otolaryngology Head and Neck Surgery: A Review


– International Journal of Otorhinolaryngology and Head and Neck Surgery, 2024

Dr. Irene Garcia-Camacha Gutiérrez | Soft Robotics and Smart Materials | Best Use of AI in Robotics

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Dr. Irene Garcia-Camacha Gutiérrez | Soft Robotics and Smart Materials | Best Use of AI in Robotics

Universidad de Castilla-La Mancha | Spain

Dr. Irene García Camacha Gutiérrez is an Associate Professor of Statistics and Operations Research in the Department of Mathematics at the University of Castilla-La Mancha, a position she has held. She earned her PhD in Mathematics and Physics from UCLM and has developed a strong research profile despite her relatively early career stage, with more than fifteen publications in high-impact JCR and SJR journals. Her main research focuses on optimal experimental design, robust design methodologies, and mixture experiments, supported by a research stay at the University of Alberta, Canada. Her work is characterized by a multidisciplinary orientation, with applications in civil engineering, sports science, health sciences, Soft Robotics and Smart Materials and industrial mathematics. She has participated in fifteen competitive research projects, serving as principal investigator in several, and obtained her first recognized six-year research period. She is also active in scientific outreach, peer review, and academic service at national and international levels.

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Assoc. Prof. Dr. Francesco Tajani | Decarbonisation | Research Excellence Award

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Assoc. Prof. Dr. Francesco Tajani | Decarbonisation | Research Excellence Award

Sapienza University of Rome | Italy

Prof. Francesco Tajani is an Italian academic specializing in economic valuation, urban and territorial development, and real estate appraisal. He is a Professor of II Fascia at the Department of Architecture and Design, Faculty of Architecture, Sapienza University of Rome, within the scientific disciplinary sector CEAR-03/C. He holds a Laurea in Civil Engineering with honors from the University of Salerno, a European Master’s degree in Territorial Planning and Real Estate Markets from the Polytechnic University of Turin, and a Ph.D. in Economic Evaluation of Projects from the University “Mediterranea” of Reggio Calabria, with research focused on real options analysis applied to architectural and environmental heritage investments. His academic career includes research and teaching appointments at Sapienza University of Rome, the Polytechnic University of Bari, and the University of Salerno. Prof. Tajani has obtained National Scientific Qualification for both second- and first-level professorships in the competitive sector of infrastructure, transport systems, Decarbonisation and valuation. His research interests include financial feasibility analysis, urban regeneration, social housing, infrastructure evaluation, and decision-support models for public and private investments.

 

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Dr. Peter Williams | Safe Human-Robot Collaboration | Research Excellence Award

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Dr. Peter Williams | Safe Human-Robot Collaboration | Research Excellence Award

University of Hull | United Kingdom

Dr. Peter Williams is an independent researcher and retired Senior Lecturer in Technology Enhanced Learning at the University of Hull, United Kingdom, where he served until 2020. He was an early pioneer in the design and management of online courses and blended learning, particularly for small businesses, and later led staff development initiatives in blended learning and ICT. He designed and directed degree programs in educational technology and is recognized as a University Teaching Fellow and a Senior Fellow of the Higher Education Academy, UK. Dr. Williams successfully co-supervised eight doctoral students researching the application of new technologies in learning, teaching, and assessment, and has served as an external examiner for PhD awards. His doctoral research examined management issues in e-learning within universities, later specializing in the impact of emerging technologies on assessment in higher education. His single-authored publications address knowledge development in higher education, graduate competencies, learning analytics, blockchain-based micro-credentials, artificial intelligence, hybrid intelligence, and human-agentic AI systems for learning and assessment. He has supported digital education at the University of Leeds, served as an external examiner at the University of Malta, peer-reviewed over 30 journal articles, Safe Human-Robot Collaboration and currently serves on the editorial boards of Education Sciences and Artificial Intelligence and Education.

 

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Does Competency-Based Education with Blockchain Signal a New Mission for Universities?

– Journal of Higher Education Policy and Management, 2019

Assessing Collaborative Learning: Big Data, Analytics and University Futures

– Assessment & Evaluation in Higher Education, 2016

Rethinking University Assessment: New Technologies for New Needs

– International Journal of Technology and Inclusive Education, 2014

Assoc. Prof. Dr. Dimitrios Stasinopoulos | Physiotherapy | Research Excellence Award

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Assoc. Prof. Dr. Dimitrios Stasinopoulos | Physiotherapy | Research Excellence Award

University of West Attica | Greece

Assoc. Prof. Dr. Dimitrios Stasinopoulos is an Associate Professor of Physiotherapy at the University of West Attica, Greece, with extensive academic and clinical experience in musculoskeletal rehabilitation. He earned his PhD from Leeds Metropolitan University, focusing on the treatment of lateral epicondylitis, following an MSc in Physiotherapy from the University of Manchester and a BSc in Physiotherapy from the Technological Education Institute of Athens. His academic career includes appointments as Associate and Assistant Professor at the University of West Attica and the European University Cyprus. Dr. Stasinopoulos has substantial clinical experience, having worked for over a decade as a physiotherapist and clinic manager in Athens. He has completed advanced postgraduate training in orthopaedic medicine, sports rehabilitation, manual therapy, physiotherapy and clinical education, including certification in the Cyriax concept. He has also participated in scientific committees and professional symposiums, contributing actively to physiotherapy education and research.

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