Rima Isaifan | Sustainable Development | Research Excellence Award

Assoc. Prof. Dr. Rima Isaifan | Sustainable Development | Research Excellence Award

Georgetown University and Ministy of Higher Education Qatar | Qatar

Dr. Rima J. Isaifan is a distinguished chemical and environmental engineer, researcher, and higher-education quality assurance expert with a Ph.D. with highest honor in Chemical Engineering. She holds an h-index of26, with 65 peer-reviewed research documents and over 1,844 citations, reflecting sustained global research impact. Her academic experience spans associate professorships, adjunct appointments, and senior academic accreditation leadership roles across internationally recognized institutions, alongside extensive service as an evaluator, rapporteur, and expert reviewer for the European Commission, United Nations bodies, and national research agencies. Her research interests integrate air quality and climate change, decarbonization technologies, renewable and sustainable energy systems, nanotechnology and advanced materials, carbon management, urban sustainability, and AI applications in higher education quality assurance and policy. She has contributed to high-impact Q1 journals, interdisciplinary policy-oriented research, and applied sustainability solutions relevant to arid and rapidly urbanizing regions. Her professional excellence has been recognized through multiple international awards, including innovation and research distinctions in higher education quality assurance, sustainability, and environmental research. Through her combined roles in academia, policy, and consultancy, Dr. Isaifan continues to advance evidence-based decision-making, sustainable development practices, and globally relevant frameworks linking science, technology, and education quality, positioning her as a leading voice at the intersection of environmental engineering, climate-health research, and academic governance.

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Zohaib Khan | Engineering and Technology | Excellence in Research Award

Dr. Zohaib Khan | Engineering and Technology | Excellence in Research Award

Jiangsu University | China

Zohaib Khan is a PhD candidate in Control Science and Engineering at Jiangsu University, specializing in machine learning–driven perception and control for intelligent robotic systems. With over six years of research and applied experience, his work bridges deep learning, computer vision, and real-time robotic control, with a strong focus on agricultural robotics and precision farming. He has authored more than 10 high-impact SCI-indexed journal articles, achieving an h-index of 6, with 11 research documents and 121 citations. His research interests include object detection and segmentation (YOLO series, transformer-based models, RCNN), vision-guided navigation, precision spraying, and robust control of autonomous robots in unstructured environments. Zohaib has contributed as both first and co-author to leading journals such as Computers and Electronics in Agriculture, Agronomy, Sensors, and IEEE Transactions on Industrial Electronics. Alongside research, he has extensive experience supervising student projects and developing real-time AI pipelines using Python, PyTorch, OpenCV, ROS, and C/C++. His academic excellence is recognized through multiple national and international awards, including innovation, debate, and research excellence honors. Overall, Zohaib Khan represents a strong blend of theoretical rigor and practical AI deployment, aiming to advance large-scale industrial and agricultural perception systems.

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Kevin Clark | Neuroscience | Research Excellence Award

Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

Mr. Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

King Fahd University of Petroleum and Minerals | Saudi Arabia

Ibrahim Khalil Kabir is a control and robotics researcher working at the intersection of control theory and artificial intelligence, with a strong focus on learning-based robotics, socially aware navigation, and human–robot interaction. He holds an MSc in Systems and Control Engineering and a BEng in Mechatronics Engineering, with a solid academic record and advanced training in autonomous systems. His research experience spans graduate teaching and research assistantships, where he contributed to robot path planning, navigation, and hands-on laboratory instruction using real robotic platforms. His scholarly output includes peer-reviewed journal and conference publications covering UAV control, mobile robot navigation, deep reinforcement learning, and socially aware robotic systems. According to Google Scholar, his research profile reflects an emerging h-index supported by multiple indexed documents and a steadily growing citation count, indicating increasing impact in robotics and intelligent control research. His work has appeared in reputable venues such as IEEE Access, Machine Learning and Knowledge Extraction, and IEEE conferences. He has received several academic honors, including national merit scholarships and highest GPA awards. Overall, his research trajectory demonstrates a strong foundation and growing influence in intelligent robotics, positioning him well for advanced doctoral research in learning-enabled autonomous systems.

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Ganiyat Salawu | Engineering and Technology | Research Excellence Award

Dr. Ganiyat Salawu | Engineering and Technology | Research Excellence Award

University of KwaZulu-Natal,Durban | South Africa

Dr. Ganiyat Abiodun Salawu is a mechanical and mechatronics engineer and researcher with strong expertise in advanced manufacturing systems, robotics, renewable energy technologies, and intelligent engineering solutions. She holds a PhD in Mechanical Engineering (Mechatronics and Robotics) from the University of KwaZulu-Natal, South Africa, following earlier degrees in mechanical engineering and education from Nigerian institutions. Her academic and professional career spans lecturing, postgraduate supervision, research coordination, and postdoctoral research, with extensive experience in both university and polytechnic systems. Her research interests focus on disruptive manufacturing technologies, IoT-based systems, renewable energy optimization, smart automation, tribology, composite materials, and sustainable engineering design. Dr. Salawu has authored over 20 peer-reviewed journal and conference publications, with an approximate h-index of 3, and over 20 cumulative citations based on available scholarly records. She has received multiple competitive research grants, including TETFund institutional and doctoral awards, and was honored with an Award of Excellence as Best Researcher by the University of KwaZulu-Natal. Through impactful research, supervision, and innovation-driven teaching, she continues to contribute significantly to engineering education, sustainable technology development, and applied industrial research in Africa and beyond.

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Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A. (2025).
Production and Mechanical Evaluation of Bio-Composite Materials from Coconut, Palm Kernel and Periwinkle Shells as an Alternative to Grinding Wheel Production.

International Journal of Applied and Advanced Engineering Research, Vol. 8, No. 5, 2025

Jimoh A.A.; Iromini N.A.; Oladuntoye Q.O.; Ajiteru S.O.; Salawu G.A. (2024).
Design and Deployment of an Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, 2024

Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A.; Afolabi A.A. (2025).
Investigating the Mechanical Performance of Offshore Wind Turbine Towers Using Finite Element Analysis for Sustainable Renewable Energy.

Journal of Engineering, Logical and Modelling Research, 2025

Investigation of Technical Feasibility and Efficiency of Wi-Fi Based Internet of Things Remote Monitoring and Control of Home Appliances.

International Journal of Science Research and Technology, Vol. 6, No. 9, pp. 121–135, 2024

Design and Development of Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, pp. 66–75, 2024

Jun Hu | Medicine and Health Sciences | Research Excellence Award

Dr. Jun Hu | Medicine and Health Sciences | Research Excellence Award

Nanjing University of Chinese Medicine | China

Jun Hu is a medical researcher and lecturer specializing in Traditional Chinese Medicine (TCM)–based interventions for inflammatory and immune-mediated diseases. Trained as a Medical Doctor at Nanjing University of Chinese Medicine, Hu has developed a focused academic career combining mechanistic biomedical research with evidence-based evaluation of traditional therapies. His professional experience centers on teaching and research at a leading TCM institution, where he contributes to both undergraduate and postgraduate medical education while leading interdisciplinary studies. Hu’s research interests include herbal formulas, electroacupuncture, acupoint application, and moxibustion, with particular emphasis on asthma, rheumatoid arthritis, neuroinflammation, and immune regulation. He has played a key role in nationally funded research, including a National Natural Science Foundation of China project investigating autophagy-dependent ferroptosis mechanisms in moxibustion therapy for rheumatoid arthritis synovitis. His scholarly output includes peer-reviewed articles in high-impact journals such as Biomolecules, Frontiers in Pharmacology, Mediators of Inflammation, and Journal of Ethnopharmacology. With an h-index of 7, more than 11 scientific publications, and over 95citations, his work demonstrates sustained academic influence. Overall, Jun Hu’s research bridges traditional medical theory and modern molecular science, advancing integrative strategies for chronic inflammatory disease management.

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Qufeng Xuanbi Formula inhibits benzo[a]pyrene-aggravated asthma via the AhR/ROS/ERK pathway

Journal of Ethnopharmacology, 2024 · DOI: 10.1016/j.jep.2023.117203

Bebetebe Fetimi | Energy and Sustainability | Research Excellence Award

Mr. Bebetebe Fetimi | Energy and Sustainability | Research Excellence Award

University of Strathclyde | United Kingdom

Mr. Bebetebe Fetimi marine engineering professional and early-career researcher with expertise in marine reliability engineering, human and equipment reliability, and safety-critical maritime systems. He holds a First Class B.Sc. in Marine Engineering and formal qualifications in safety and risk management, supported by advanced professional training in tanker operations, high-voltage systems, ship security, and international maritime regulations. His professional experience spans offshore oil and gas operations, shipyard HSEQ management, and dynamic positioning vessels, where he has contributed to machinery maintenance, safety audits, incident investigation, ISM compliance, and operational risk control. Currently engaged in doctoral-level research in marine reliability engineering, his research interests focus on human reliability assessment, alternative fuel ship propulsion safety, maritime risk modeling, and the application of structured methods such as HEART, CREAM, and root cause analysis to improve system resilience. His scholarly output reflects a developing research profile with h-index: 1, documents: 2, and citations: 10 (current records), demonstrating growing academic impact alongside strong industry relevance. He has been recognized for safety leadership, operational excellence, and analytical problem-solving within multidisciplinary teams. Overall, his profile represents a balanced integration of applied engineering practice and research-driven insight aimed at advancing reliability, sustainability, and risk-informed decision-making in modern maritime and offshore engineering.


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Scissors Approach in Human and Equipment Reliability vis-à-vis the Use of Alternative Fuel in Ship Propulsion

Maritime Safety & Reliability Engineering · Alternative Fuel Ship Propulsion

Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

Mr. Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

Yachay Tech University | Ecuador

Jeremy Fabrizio Carlosama Quinatoa is an emerging researcher in biomedical engineering whose work focuses on applying machine learning and intelligent sensing technologies to healthcare and rehabilitation. He holds a degree in Biomedical Engineering from Yachay Tech University, where his academic training emphasized biomechanics, human motion analysis, and data-driven medical systems. His professional experience includes teaching and research activities in biomechanics and biomedical signal processing, as well as participation in interdisciplinary projects that integrate inertial sensors, motion capture systems, neural networks, and clinical data. His research interests span machine learning for healthcare, rehabilitation engineering, inertial sensor systems, neural-network-based medical diagnosis, and assistive technologies. He has authored peer-reviewed research outputs including a journal article in Sensors (MDPI) and international conference book chapters addressing low back pain assessment, sign-language recognition, and heart failure diagnosis using artificial intelligence. As of 2025, his scholarly record includes 4 publications, an h-index of 2, and over 30 citations, reflecting growing academic impact at an early career stage. His work demonstrates a strong commitment to translational research that bridges engineering innovation and clinical application, positioning him as a promising young scientist contributing to the advancement of intelligent healthcare technologies.

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Ecuadorian Sign Language Detection in Real Time

J. Carlosama, S. Criollo, C. Játiva, V. Mina, S. Velastegui, J. de-la-A, et al.
International Conference on Computer Science, Electronics and Industrial Engineering, 2023

InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients

J. Carlosama, L. Zhinin-Vera, C. Guevara, C. Cadena-Morejón, et al.
Sensors, Vol. 25(21), Article 6665, 2025

Diagnosis of Heart Failure: Integrating Echocardiographic and Clinical Data Through Neural Networks

V. Arrobo-Sarango, J. Carlosama, D. Almeida-Galárraga, A. Tirado-Espín, et al.
International Conference on Smart Technologies, Systems and Applications, 2024

Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

Dr. Adetayo Folorunso | Energy and Sustainability | Best Researcher Award

Federal University of Technology, Akure | Nigeria

Adetayo Folorunso is an established scholar in applied geophysics and environmental geosciences with a strong record of scientific contributions to groundwater, marine, and exploration geophysics.  Academic training and professional experience span geophysics, earth sciences, and applied geoscience, with extensive involvement in teaching, postgraduate supervision, and collaborative research across Nigerian and international institutions. Research work integrates electrical resistivity tomography (ERT), marine geophysics, hydrogeophysics, seismic interpretation, and environmental geophysics, addressing critical challenges such as saline water intrusion, groundwater vulnerability, subsurface contamination, and reservoir characterization. Contributions include high-impact journal articles, interdisciplinary studies combining geophysical and geochemical methods, and methodological advances in finite-element and CSEM modeling. Recognition includes scholarly visibility, sustained citation performance, and leadership in collaborative geoscience research. Overall, the body of work demonstrates a strong commitment to advancing applied geosciences through data-driven analysis, field-based investigations, and solutions relevant to environmental sustainability, resource exploration, and geotechnical risk assessment.

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Integrated Geophysical and Geochemical Methods for Environmental Assessment of Municipal Dumpsite System

International Journal of Geosciences, 4(5), 850–862, 2013 · Citations: 59


Engineering Site Characterisation Using 2-D and 3-D Electrical Resistivity Tomography

Earth Science Research, 2(1), 133–142, 2013 · Citations: 41