Osama Smettei | Healthcare Data Analysis | Research Excellence Award

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Dr. Osama Smettei | Healthcare Data Analysis | Research Excellence Award

London Health Siences Centre | Canada

Dr. Osama Smettei is a Fellow in Nuclear Cardiology and Cardiac CT at Western University and London Health Sciences Centre, Canada, with extensive expertise in non-invasive cardiac imaging and clinical cardiology. He earned his medical degree from the University of Damascus and holds multiple board certifications, including FRCP, Arab Board of Cardiovascular Diseases, and advanced diplomas in echocardiography, nuclear cardiology, cardiac CT, and MRI. His professional career spans senior consultant and fellowship roles across Canada and Saudi Arabia. Dr. Osama Smettei’s research interests include cardiac imaging, radiation optimization, and preventive cardiology, supported by strong skills in multimodality imaging, registry-based research, and quality improvement. He has authored 49 publications, contributed to PROTECTION VI, received multiple national research awards, and continues to advance patient-centered, evidence-based cardiovascular imaging.

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Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

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Assoc. Prof. Dr. Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

Sanda University | China

Assoc. Prof. Dr. Dongxing Yu is an interdisciplinary scholar with a Ph.D. in Literature, serving as Associate Professor and Director of the Institute for Sustainable Development in Education at Shanghai Sanda University. Assoc. Prof. Dr. Dongxing Yu holds a Ph.D. from East China Normal University, an M.A. from Shandong Normal University, and a B.A. from Qingdao University. His professional experience spans founding China’s first university Educational Metaverse, leading VR education labs, and holding visiting positions at Harvard, UIUC, Aarhus, and Regina. His research interests include linguistics, AI in education, cognitive science, VR, and language policy, with skills in educational technology design, interdisciplinary research, and academic leadership. Assoc. Prof. Dr. Dongxing Yu has received multiple national awards for teaching innovation and scholarship, concluding a career dedicated to shaping intelligent, sustainable, and immersive futures in education.

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Huiming Wang | Nonlinear Control | Research Excellence Award

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Assoc. Prof. Dr. Huiming Wang | Nonlinear Control | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Huiming Wang is an Associate Professor at the School of Automation, Chongqing University of Posts and Telecommunications, China. He earned his Ph.D. in Measurement Technique and Automation Equipment from Southeast University, following an M.S. in Control Theory and Control Engineering and a B.S. in Automation. Assoc. Prof. Dr. Huiming Wang has professional experience as a postdoctoral researcher at Nanyang Technological University, Singapore, and serves as deputy director of key laboratories and departments. His research interests focus on anti-disturbance control, robotics, servo systems, and power electronics. His research skills include robust control, sliding-mode control, disturbance observers, and intelligent electromechanical systems. Assoc. Prof. Dr. Huiming Wang has received national and international awards for innovation and best papers, reflecting his strong academic impact and leadership in automation research.

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Featured Publications

Generalized Disturbance Estimation Based Continuous Integral Terminal Sliding Mode Control for Magnetic Levitation Systems

IEEE Transactions on Automation Science and Engineering, 2025 · 20 Citations
Current-Constrained Finite-Time Control Scheme for Speed Regulation of PMSM Systems With Unmatched Disturbances

IEEE Transactions on Automation Science and Engineering, 2025 · 3 Citations
Active Disturbance Rejection with Continuous Sliding Mode Control for Lower Limb Rehabilitation Exoskeleton

Conference Paper · 0 Citations
A Current-Constrained Finite-Time Disturbance Rejection Control Scheme for Buck Converter

Conference Paper · 0 Citations
Sampled-Data Safety-Critical Control of Nonlinear Systems with Input Delay

Conference Paper · 0 Citations

Laetitia Luttich | Emergency Medicine | Research Excellence Award

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Dr. Laetitia Luttich | Emergency Medicine | Research Excellence Award

 Walter Sisulu University | South Africa

Dr. Laetitia Luttich is an Emergency Medicine Specialist with extensive experience in tertiary critical care, undergraduate medical education, curriculum development, and clinical governance. She holds an MBChB and an MMed in Emergency Medicine, alongside fellowship qualifications from the College of Emergency Medicine of South Africa and advanced training in ultrasound, trauma, disaster medicine, and critical care. Her professional experience spans consultant-level emergency practice, registrar training, ICU service, and coordination of senior medical student rotations. Her research interests focus on trauma epidemiology, emergency care systems, and resuscitation science, with a peer-reviewed publication in emergency trauma outcomes. Her career reflects sustained clinical excellence, academic leadership, and commitment to high-quality, patient-centred emergency care.

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Mohamed Balaha | Healthcare Data Analysis | Research Excellence Award

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Prof. Mohamed Balaha | Healthcare Data Analysis | Research Excellence Award

Prince Sattam bin Abdulaziz university | Saudi Arabia

Prof. Mohamed Balaha is a clinician–scientist, pediatric specialist, and Professor of Clinical Pharmacy and Medical Pharmacology at Prince Sattam Bin Abdulaziz University and Tanta University. He earned his M.B.B.Ch., M.Sc., and M.D./Ph.D. (Egypt–Japan) in Medical Pharmacology, with over 20 years of academic, clinical, and leadership experience. His professional work spans clinical pharmacy practice, pharmacotherapy education, quality assurance, and antimicrobial stewardship. Prof. Mohamed Balaha’s research interests focus on antimicrobial therapeutics, immunopharmacology, plant-derived bioactives, and translational disease models, supported by strong skills in in vivo experimentation, molecular pathways analysis, and clinical evaluation. His impactful publications, editorial roles, and international collaborations underpin multiple research excellence recognitions, reflecting sustained contributions to evidence-based medicine and innovative pharmacological solutions.

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Tebogo Tsele-Tebakang | Social Impact | Research Excellence Award

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Dr. Tebogo Tsele-Tebakang | Social Impact | Research Excellence Award

 University of Johannesburg – Doornfontein Campus | South Africa

Dr. Tebogo Tsele-Tebakang is a distinguished homoeopath and academic with a Doctorate in Homoeopathy (2022) and advanced degrees in the field. She has extensive professional experience as a lecturer, head clinician, acting head, and head of the Department of Complementary Medicine at a leading university. Her research focuses on homoeopathy, complementary medicine, antimicrobial studies, and patient satisfaction, supervising numerous master’s and PhD projects. She is published in accredited journals, presents at international conferences, and actively contributes to advancing the integration of conventional and complementary healthcare practices.

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Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

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Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Huajie Liu | Data Sharing | Research Excellence Award

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Assoc. Prof. Dr. Huajie Liu | Data Sharing | Research Excellence Award

China University of Petroleum (East China) | China

Assoc. Prof. Dr. Huajie Liu is an Associate Professor at China University of Petroleum (East China) with a PhD in Oil and Gas Well Engineering. He received his bachelor’s, master’s, and doctoral degrees from China University of Petroleum (East China), with joint doctoral training at Swinburne University of Technology, Australia. His professional experience includes postdoctoral research and long-term teaching and research in oil and gas well engineering. His research interests focus on oil well cementing functional materials and oilfield chemistry. He possesses strong skills in cement material design, microstructure characterization, interface mechanics, and numerical simulation. Liu Huajie has received multiple provincial and national science and technology awards, reflecting his significant contributions to well cementing theory, engineering applications, and technological innovation.

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Featured Publications

Development and Performance Evaluation of Temperature-Resistant Thixotropic Agent for Magnesium Oxychloride Cement Based on Response Surface Methodology

– Construction and Building Materials, 2025
Research and Development of Temperature and Hydraulic Pressure Resistance Controlled-Release Microspheres with High Carrying Capacity for Gel Breakers

– Construction and Building Materials, 2025
Study on Plugging Removal Acid System of Acid-Soluble Cement in Oil and Gas Wells: Based on Organic Solid Acid

– Geoenergy Science and Engineering, 2025
Mechanistic Analysis of the Effect of Polymers in Cement Slurry Filtrates on the Stability of Natural Gas Hydrates

– Geoenergy Science and Engineering, 2025
Optimization of Additives for a Metakaolin–Fly Ash-Based Geopolymer Cementing Slurry System at 70°C

– SPE Journal, 2025

Ayaz Abdullin | Quantum Queries | Research Excellence Award

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Mr. Ayaz Abdullin | Quantum Queries | Research Excellence Award

Kazan Federal University | Russia

Mr. Ayaz Abdullin is a physicist at Kazan Federal University specializing in quantum and magnetic materials. He holds advanced training in physics and serves as Senior Lecturer with strong engagement in research and education. His work focuses on synthesis, characterization, and data-driven analysis of Fe-based alloys using XRD, Mössbauer spectroscopy, magnetometry, and DFT modeling. In 2025, he was nominated for the Track 33 Quantum Quotient Quests Research Excellence Award for outstanding analytical contributions revealing magnetic heterogeneity in Fe-Al-B alloys. He has authored 6 documents with 18 citations and an h-index of 2, contributing valuable insights to quantum materials design research.

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Featured Publications

Mössbauer Study of the Surface of Core-Shell Type Nanoparticles

– Journal of Surface Investigation. X-ray, Synchrotron and Neutron Techniques, 2016
DFT Study of Magnetic Order in Fe–Al-Based Ternary Alloys

– Magnetic Resonance in Solids, 2025

Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

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Dr. Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

Ufa Institute of Chemistry of the Russian Academy of Sciences | Russia

Dr. Stanislav Grabovskii is a physical organic chemist with 27+ years of experience advancing biomedical chemistry, tissue regeneration, redox biology, and lipidomics. He holds a PhD in Physical Chemistry and an MBA in Science, with extensive international research experience. His work integrates kinetic analysis, computational modeling, and experimental biochemistry, resulting in a patented bioactive compound for skin, nerve, and bone repair and widely cited lipidomic standards. He has authored 78 documents with over 415 citations, an h-index of 12, and leads funded national and international projects. His research supports molecular diagnostics, disease prevention, and translational biomedical innovation.

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Featured Publications