Maria Adam | Spectrum localization | Research Excellence Award

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Dr. Maria Adam | Spectrum localization | Research Excellence Award

 University of Thessaly | Greece

Dr. Maria Adam is a Professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece, with extensive expertise in spectral analysis, numerical ranges, numerical linear algebra, and matrix theory with applications to systems theory, algorithms, graphs, statistics, and biostatistics. She earned her PhD in Mathematics from the National Technical University of Athens, following a BSc in Mathematics from the University of Athens. Dr. Maria Adam has a distinguished academic career spanning professorial roles, international teaching appointments, and participation in major national and industrial research projects. She is an active journal reviewer, editorial board member, and conference organizer, contributing significantly to mathematical sciences research and education.

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Featured Publications


Curves and Spectrum Localization of Real Matrices

– Linear Algebra and Its Applications, Vol. 733, 2026

Selection of the Fastest Solution of the Complex Riccati Equation

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

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Dr. Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

 University of South Africa | South Africa

Fulufhelo H. Mudau, PhD (Chem) is a South African chemist and postdoctoral fellow at the University of South Africa, Institute of Nanotechnology and Water Sustainability, with strong expertise in membrane science, water treatment, and nanomaterials. She holds a PhD in Chemistry, along with an MSc in Chemistry, BSc Honours, and a BSc in Chemistry and Applied Chemistry. Her professional experience includes postdoctoral research, e-tutoring, laboratory teaching, project administration, and water and wastewater operations. Her research interests focus on ion exchange membranes, polymer–nanoparticle interactions, and sustainable water technologies, supported by strong skills in experimental design, analytical chemistry, data analysis, and academic supervision. Fulufhelo H. Mudau, PhD (Chem) has received multiple awards for innovation, research excellence, and science communication, reflecting her commitment to impactful research, education, and youth development.

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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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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

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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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

Huan Liu | Earth Space Exploration | Research Excellence Award

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Prof. Huan Liu | Earth Space Exploration | Research Excellence Award

China University of Geosciences | China

Huan Liu is a Professor in automation and instrumentation with a strong academic foundation in electronic engineering and sensing technologies. He earned his PhD with research focused on high-precision magnetometers and completed joint doctoral training internationally. His professional experience spans academic research, teaching, and leadership in control technology and intelligent sensing. His research interests include magnetic field measurement, sensor arrays, instrumentation, multi-information fusion, and intelligent detection systems for environmental and security applications. He has received numerous national and international awards for research excellence, editorial service, and innovation. His work significantly advances precision sensing technologies and interdisciplinary engineering research.

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Featured Publications


A Multi-Parameter Integrated Magnetometer Based on Combination of Scalar and Vector Fields

– IEEE Transactions on Industrial Electronics, 2022

A New Digital Single-Axis Fluxgate Magnetometer According to the Cobalt-Based Amorphous Effects

– Review of Scientific Instruments, 2022

An Overview of Sensing Platform-Technological Aspects for Vector Magnetic Measurement: A Case Study of the Application in Different Scenarios

– Measurement, 2022

Anomaly Detection of Complex Magnetic Measurements Using Structured Hankel Low-Rank Modeling and Singular Value Decomposition

– Review of Scientific Instruments, 2022

Multi-Sensor Measurement and Data Fusion

– IEEE Instrumentation & Measurement Magazine, 2022

Zhengzheng Cao | Liquid Nitrogen (LN2)-Assisted Fracturing | Young Scientist Award

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Dr. Zhengzheng Cao | Liquid Nitrogen (LN2)-Assisted Fracturing | Young Scientist Award

 Henan Polytechnic University | China

Dr. Cao Zhengzheng is an Associate Professor and Master’s Supervisor in the fields of civil engineering and engineering mechanics, recognized as a university-level Young Backbone Teacher. He earned his Ph.D. in engineering-related disciplines and has developed a strong academic profile combining theoretical analysis with engineering applications. He has served as a Visiting Scholar at the Colorado School of Mines, USA, where he engaged in international collaboration on rock mechanics and geotechnical engineering research. Dr. Cao has led six national- and provincial-level research projects, including grants from the National Natural Science Foundation of China and the Henan Provincial Natural Science Foundation, reflecting his sustained research competitiveness. His primary research interests include rock mechanics, geotechnical engineering, mechanical behavior of geomaterials, and engineering mechanics, with a focus on failure mechanisms and stability analysis. He has published more than 20 SCI-indexed journal articles as first or corresponding author in leading journals such as Rock Mechanics and Rock Engineering, including multiple ESI highly cited and hot papers. His academic contributions have been recognized with three provincial and ministerial-level awards. In addition, he has published one scholarly monograph, holds eight authorized patents, and has guided numerous award-winning graduate and undergraduate students. Overall, Dr. Cao’s work significantly advances both fundamental understanding and practical applications in civil and geotechnical engineering. His academic impact is reflected by 1,250 citations, 82 documents, and an h-index of 22 (citations drawn from 846 documents).

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Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

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Dr. Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

Iran University of Medical Sciences | Iran

Haleh Ayatollahi is a Professor of Medical Informatics with extensive experience in health information management, digital health, and health technology assessment. She holds a PhD in Health Informatics from the University of Sheffield (UK), an MSc and BSc in Medical Records from Iran University of Medical Sciences, and an associate degree in the same field. She has held several senior academic and executive roles, including Director of the Deputy of Research and Technology at both the School of Health Management and Information Sciences and the Health Management and Economics Research Centre, and membership on the Medical Informatics Evaluation and Examination Board. Her academic career spans teaching, research leadership, postgraduate administration, and international collaboration. Her research focuses on telemedicine, mobile health, clinical decision support systems, artificial intelligence in healthcare, digital health evaluation, health information systems, patient safety, and technology adoption, with strong contributions to policy briefs and global health studies, including the Global Burden of Disease projects. She has authored 108 peer-reviewed documents with 6,293 citations across 5,499 citing documents and an h-index of 21, reflecting sustained scholarly impact. She has contributed to high-impact journals such as The Lancet, BMC series, Digital Health, and PLOS ONE, and has received multiple academic and research recognitions for excellence in education, research productivity, and leadership in medical informatics.

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Featured Publications


Clinicians’ Knowledge and Perception of Telemedicine Technology

– Perspectives in Health Information Management, 2015

Seema Irshad | Psychology | Women Researcher Award

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Dr. Seema Irshad | Psychology | Women Researcher Award

King Faisal University | Saudi Arabia

Dr. Seema Irshad is an Assistant Professor of Psychology with more than a decade of experience in higher education, research, and clinical practice. She earned her PhD in Psychology from Aligarh Muslim University, developing a strong academic foundation in psychological theory, research methodology, and applied practice. Her academic career has been primarily associated with a leading public university in the Kingdom of Saudi Arabia, where she has contributed extensively to undergraduate and graduate teaching, curriculum design, and academic coordination. Her teaching expertise spans abnormal psychology, cognitive processes, work motivation, and applied psychology, with a strong emphasis on student-centered and technology-enhanced learning. In parallel, she has been actively engaged in research through national and international collaborations, including earlier work as a research assistant and junior project fellow on large-scale public health and educational research projects. Her research interests focus on mental health, psychosocial interventions, psychometric assessment, systematic reviews, and the emerging role of artificial intelligence in psychological practice. She has published more than 20 scholarly papers and has presented research at numerous academic conferences. Her contributions include successful involvement in competitive research grants and sustained mentorship of students and early-career researchers. Overall, her work reflects a strong commitment to advancing psychological science, improving mental health outcomes, and fostering academic excellence through teaching, research, and mentorship.

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