Wei Liu | Neuromorphic | Best Researcher Award

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Dr. Wei Liu | Neuromorphic | Best Researcher Award

Doctor at Sun Yat-Sen University, China

Professional Profile

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Summary

Dr. Wei Liu is a dedicated postdoctoral researcher specializing in microelectronics, hardware security, and neuromorphic computing. Based in Guangzhou, he is currently affiliated with the School of Microelectronics Science and Technology at Sun Yat-sen University. With a strong foundation in communications and microelectronics, Dr. Liu has built a multidisciplinary research profile at the intersection of neural hardware, stochastic computing, and secure circuit design. As an IEEE member, he actively contributes to the academic community through impactful publications and collaborative projects.

Educational Details

Dr. Liu earned his Ph.D. in Microelectronics and Solid-State Electronics from Sun Yat-sen University in 2024, where he focused on integrating stochastic methods with neuromorphic design. He completed his M.S. in Microelectronics from Tsinghua University, Beijing, in 2015, gaining advanced training in semiconductor devices and circuit design. His academic journey began with a B.S. in Communications Engineering from Wuhan University of Technology in 2010, laying the foundation for his future research in intelligent and secure hardware systems.

Professional Experience

Currently, Dr. Liu serves as a postdoctoral researcher at the School of Microelectronics Science and Technology, Sun Yat-sen University. In this role, he is engaged in cutting-edge research projects involving neuromorphic hardware development, stochastic computing applications, and secure architecture design. His work includes system-level modeling, hardware acceleration, and circuit optimization for low-power and fault-tolerant computing. He has collaborated with leading researchers and contributed to multiple high-impact journals and conferences.

Research Interests

Dr. Liu's primary research interests lie in neuromorphic computing, where he develops brain-inspired systems for efficient and adaptive processing; stochastic computing, exploring its potential in energy-constrained and approximate computing; and hardware security, focusing on resilient architectures and cryptographic techniques to mitigate vulnerabilities in modern electronic systems. His interdisciplinary approach addresses pressing challenges in next-generation intelligent electronics.

Author Metrics

Dr. Liu has co-authored several peer-reviewed articles in high-impact journals such as IEEE Transactions on Biomedical Circuits and Systems and Electronics. Notable publications include innovations in approximate spiking neural networks and biologically plausible neuron models using stochastic computation. His work has been cited for its contributions to low-cost and energy-efficient neuromorphic architectures. His metrics reflect a growing influence in the field of microelectronics and computational neuroscience.

Awards and Honors

Dr. Liu has been recognized for his academic excellence and research contributions, earning accolades at national and international conferences. His work on SC-IZ and SC-PLR has received attention for bridging biological plausibility with practical neuromorphic hardware implementations. As an IEEE member, he actively participates in technical communities and workshops, contributing to the advancement of low-power intelligent systems.

Publication Top Notes

1. SCSC: Leveraging Sparsity and Fault-Tolerance for Energy-Efficient Spiking Neural Networks

  • Publication Date: January 20, 2025

  • Publication Type: Conference Paper

  • Conference: 30th Asia and South Pacific Design Automation Conference (ASP-DAC)

  • DOI: 10.1145/3658617.3697718

  • Contributors: Bo Li, Yue Liu, Wei Liu, Jinghai Wang, Xiao Huang, Zhiyi Yu, Shanlin Xiao

  • Summary: This paper presents the SCSC framework that enhances energy efficiency in spiking neural networks by leveraging neuron-level sparsity and fault-tolerance features. It targets low-power applications in neuromorphic computing systems.

2. SC-PLR: An Approximate Spiking Neural Network Accelerator With On-Chip Predictive Learning Rule

  • Publication Date: October 2024

  • Publication Type: Journal Article

  • Journal: IEEE Transactions on Biomedical Circuits and Systems

  • Contributors: Wei Liu, Shanlin Xiao, Yue Liu, Zhiyi Yu

  • Summary: SC-PLR introduces a neuromorphic accelerator using a novel predictive learning rule implemented on-chip. It reduces computational complexity while maintaining biological plausibility and hardware efficiency.

3. SC-IZ: A Low-Cost Biologically Plausible Izhikevich Neuron for Large-Scale Neuromorphic Systems Using Stochastic Computing

  • Publication Date: February 27, 2024

  • Publication Type: Journal Article

  • Journal: Electronics (MDPI), Volume 13, Issue 5, Article 909

  • Contributors: Wei Liu, Shanlin Xiao, Bo Li, Zhiyi Yu

  • Summary: This work proposes SC-IZ, a biologically plausible and low-cost implementation of the Izhikevich neuron using stochastic computing, scalable for large neuromorphic systems.

4. Low-Cost Adaptive Exponential Integrate-and-Fire Neuron Using Stochastic Computing

  • Publication Date: October 2020

  • Publication Type: Journal Article

  • Journal: IEEE Transactions on Biomedical Circuits and Systems, Volume 14, Issue 5, Pages 942–950

  • Contributors: Shanlin Xiao, Wei Liu, Yuhao Guo, Zhiyi Yu

  • Summary: This paper introduces a compact, low-power model of the adaptive exponential integrate-and-fire neuron leveraging stochastic computing techniques for improved resource efficiency in neuromorphic hardware.

Conclusion

Dr. Wei Liu is an outstanding candidate for the Best Researcher Award in neuromorphic and secure computing, with groundbreaking contributions at the intersection of biology and technology. His innovative work on energy-efficient neural hardware, stochastic computing, and hardware security is shaping the future of intelligent systems. While expanding his global visibility could further amplify his impact, his research trajectory reflects not just promise but accelerating momentum, making him a deserving recipient of this recognition.

Vishwambhar Prasad Sati | Geography | Best Researcher Award

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Prof. Dr. Vishwambhar Prasad Sati | Geography | Best Researcher Award

Senior Professor at Mizoram University, Aizawl, India

Professional Profile

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Summary

Prof. Vishwambhar Prasad Sati is a Senior Professor in the Department of Geography and Resource Management at Mizoram University (A Central University), Aizawl, India. With over 28 years of diverse academic and administrative experience, he is an internationally recognized scholar in mountain geography, sustainable development, and natural resource management. His work spans across continents, and he is actively engaged in global academic collaborations. Prof. Sati has also served in key academic leadership roles both in India and abroad and is currently affiliated as a Visiting Professor and Global Fellow at several international institutions.

Educational Details

Prof. Sati holds a Doctor of Letters (D.Litt.) in Geography from Jiwaji University, Gwalior (2011), a Ph.D. in Geography from HNB Garhwal University (1992), and an M.A. in Geography from the same institution (1989). He qualified the National Eligibility Test (NET) in Geography in 1997, conducted by the Indian Council of Agricultural Research, New Delhi.

Professional Experience

Prof. Sati began his academic career as an Assistant Professor in Madhya Pradesh in 1994 and progressed to the ranks of Associate and full Professor, later joining Mizoram University through direct selection in 2012. Since 2021, he has served as Senior Professor at Mizoram University. His international teaching tenure includes serving as an Associate Professor and Head of the Department of Geography at Eritrea Institute of Technology (2005–2007). He has held several academic leadership roles, including Head of the Centre for Disaster Management at Mizoram University (since 2023) and Head of the Department of Geography and RM (2016–2019). Earlier, he also held administrative positions in Government PG Colleges in Madhya Pradesh and Eritrea.

Research Interests

Prof. Sati's research focuses on mountain geography, sustainable development, natural resource management, disaster risk reduction, rural transformation, and climate change impacts. His interdisciplinary approach integrates field-based observations, sustainable livelihoods, and policy-based strategies for environmental management, especially in fragile ecosystems such as the Himalayas.

Author Metrics

Prof. Sati maintains a strong scholarly presence with an extensive publication record indexed in Scopus, ResearchGate, and Google Scholar. His research is widely cited and reflects a consistent focus on sustainability, hazard risk, and mountain ecosystems. He has been recognized among the top 0.5% of scholars worldwide based on publication volume and impact. His academic content is accessible through various platforms including YouTube, Medium, and institutional repositories.

Awards and Honors

Prof. Sati has been honored with numerous awards and fellowships, including the Golden Achiever Award (2023), Best Research Paper Award (Elsevier, 2023), and multiple Visiting Professorships across Ukraine, China, and Canada. Notably, he was a Presidential Fellow at the Chinese Academy of Sciences (2016) and has been recognized by the World Academy of Sciences, Indian National Science Academy, and ICSSR for his outstanding contributions. His accolades include more than a dozen international fellowships and over 50 international visits for academic purposes.

Publication Top Notes

1. Exploring Livelihood Opportunities in the Kali Kumaon Region of Uttarakhand Himalaya

Author: VP Sati
Journal: African Journal of Rural Development, Vol. 10(1), pp. 1–16
Year: 2025
Summary:
This paper examines alternative livelihood opportunities in the Kali Kumaon region of the Uttarakhand Himalaya. It emphasizes region-specific strategies to shift communities from subsistence-based livelihoods to more diversified and sustainable sources of income, including eco-tourism, agro-forestry, and local entrepreneurship.

2. Socio-Economic and Environmental Impacts of Jamrani Irrigation Dam Project, Kumaon Himalaya, India

Author: VP Sati
Journal: Rural and Regional Development, Vol. 3(3), Article ID: 10007
Year: 2025
Summary:
This article critically assesses the Jamrani Irrigation Dam Project in terms of its developmental promises and environmental trade-offs. It investigates socio-economic transformations, resettlement issues, and ecological changes, offering policy-level recommendations for inclusive and sustainable development.

3. Sustainable Homestay Tourism for Enhancing Rural Livelihood in the Uttarakhand Himalaya: A Study of the Tons River Basin

Authors: VP Sati, S Banerjee
Journal: BIO Web of Conferences, Vol. 151, Article No. 03001
Year: 2025
Summary:
This paper presents homestay tourism as a model for sustainable rural livelihood in the Tons River Basin. By linking local culture, traditional architecture, and natural beauty to community-based tourism, it promotes economic resilience and environmental stewardship.

4. A Brief Introduction to Cultural Geography of the Central Himalaya, India

Author: VP Sati
Book Chapter In: Sacred Landscapes, Indigenous Knowledge, and Ethno-culture in Natural Resource Management
Year: 2024
Summary:
This chapter introduces the cultural landscape of the Central Himalaya, focusing on indigenous traditions, sacred geography, and ethnographic heritage. It explains how cultural practices are deeply interwoven with ecological knowledge and sustainable resource use.

5. Spatio‐Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya

Authors: SB, VP Sati, MAS Chakraborty
Journal: Earth Systems and Environment
Year: 2024
Summary:
This research utilizes remote sensing and GIS to monitor snow cover fragmentation and volume trends in the Central Himalaya. The findings reveal significant climatic shifts affecting snow distribution, with implications for hydrological regimes and regional water security.

Conclusion

Prof. Dr. Vishwambhar Prasad Sati is an outstanding researcher with a proven track record of scholarly rigor, societal relevance, and global academic engagement. His recent publications, international awards, and ongoing contributions to mountain research, sustainable development, and rural livelihood studies strongly support his nomination and candidacy for the Best Researcher Award.

Changda Lei | Artificial intelligence | Best Academic Researcher Award

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Dr. Changda Lei | Artificial intelligence | Best Academic Researcher Award

Resident physician at First Affiliated Hospital of Soochow University, China

Professional Profile

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Summary

Dr. Changda Lei is a medical doctor and early-career researcher specializing in gastrointestinal tumors, digestive endoscopy, and artificial intelligence (AI) in clinical diagnostics. He is currently affiliated with the Department of Gastroenterology at the First Affiliated Hospital of Soochow University, China. His interdisciplinary expertise bridges medical imaging, clinical gastroenterology, and AI-driven diagnostic systems, with a particular focus on enhancing early cancer detection.

Educational Details

Dr. Lei earned his Doctor of Medicine degree with a residency in Gastroenterology from the First Affiliated Hospital of Soochow University, China. His doctoral thesis, titled “Artificial intelligence for early gastric cancer boundary recognition in NBI and NF-NBI endoscopic images,” was supervised by Prof. Rui Li and represents a significant contribution to AI applications in endoscopic image analysis for early cancer detection.

Professional Experience

During his residency and doctoral training at Soochow University, Dr. Lei gained clinical and research experience in gastroenterological procedures and endoscopic imaging. He has collaborated closely with multidisciplinary teams, including radiologists, computer scientists, and oncologists, to develop and validate AI-assisted diagnostic tools. His co-authored works involve both methodological development and clinical validation, marking him as a key contributor to translational medicine in the field of digestive oncology.

Research Interests

Dr. Lei’s research interests lie at the intersection of gastrointestinal tumor diagnostics, digestive endoscopy, and artificial intelligence. He focuses on improving early detection of gastric cancer, particularly through boundary recognition in NBI and NF-NBI endoscopic images. His broader research also explores multi-task learning, semantic segmentation, and clinical integration of AI tools for real-time diagnostic support in endoscopy suites.

Author Metrics

Although early in his academic career, Dr. Lei has co-authored multiple peer-reviewed articles in reputable international journals. His publications in Annals of Medicine, Scandinavian Journal of Gastroenterology, and Expert Systems with Applications demonstrate a growing influence in both clinical and AI research communities. His ORCID ID is 0000-0001-7908-7011, and his citation metrics are expected to rise with his growing publication footprint in multidisciplinary fields.

Awards and Honors

While formal awards are not explicitly listed, Dr. Lei’s contributions to high-impact publications and participation in cutting-edge research—such as the application of task-specific prompting in AI models for endoscopy—indicate peer recognition and significant academic promise. His collaborative work with senior scientists like Prof. Rui Li and publication in top-tier journals positions him as a rising expert in the medical AI and gastroenterology research community.

Publication Top Notes

1. Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: Present Practice and Future Prospects

  • Authors: Changda Lei, Wenqiang Sun, Kun Wang, Ruirong Weng, Xiuji Kan, Rui Li

  • Journal: Annals of Medicine

  • Volume/Issue: Volume 57, Issue 1

  • Article ID: 2461679

  • Publication Date: 2025

  • DOI: 10.1080/07853890.2025.2461679

  • Summary:
    This article reviews current applications and future directions for artificial intelligence (AI) in the diagnosis of early gastric cancer (EGC). It highlights advances in endoscopic imaging, especially NBI (Narrow Band Imaging) and AI-based pattern recognition, and discusses clinical integration, challenges, and prospects for real-time implementation.

2. Neonatal Lupus Erythematosus: An Acquired Autoimmune Disease to Be Taken Seriously

  • Authors: Wenqiang Sun, Changchang Fu, Xinyun Jin, Changda Lei, Xueping Zhu

  • Journal: Annals of Medicine

  • Publication Date: December 31, 2025

  • DOI: 10.1080/07853890.2025.2476049

  • Summary:
    This clinical review focuses on neonatal lupus erythematosus (NLE), a rare but significant autoimmune condition affecting newborns. The article emphasizes early diagnosis, maternal screening, and therapeutic strategies, highlighting the need for interdisciplinary vigilance and patient-specific care.

Conclusion

Dr. Changda Lei is an exceptionally promising early-career academic who has already made meaningful contributions to the convergence of AI and gastrointestinal oncology. His research is not only innovative and clinically relevant but also indicative of leadership in next-generation diagnostic solutions.

Pooja Saini | Psychology | Best Researcher Award

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Prof. Dr. Pooja Saini | Psychology | Best Researcher Award

Professor at Liverpool John Moores University, United Kingdom

Professional Profile

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Summary

Dr. Pooja Saini is a Reader in Suicide and Self-Harm Prevention at Liverpool John Moores University (LJMU), UK. A leading academic in public health psychology, she has dedicated over two decades to advancing suicide prevention research across primary care, community, and school-based settings. As Co-Chair of the Women’s Academic Network, Co-Lead of the Research Centre for Brain and Behaviour, and Founder of the Suicide and Self-Harm Research Network North West, she is deeply committed to impactful research, institutional leadership, and capacity building in mental health and wellbeing.

Educational Details

Dr. Saini holds a Ph.D. from the University of Manchester (2015), where her work focused on suicide prevention and primary care engagement. She earned her M.Sc. in Psychology from the University of Liverpool in 2003 and B.Sc. from the University of Leicester in 2001. She is a Fellow (FHEA) and Associate Fellow (AFHEA) of the Higher Education Academy and a Chartered Psychologist with the British Psychological Society. Her multidisciplinary education spans psychological science, public health, and healthcare implementation.

Professional Experience

Dr. Saini has held academic and research appointments at LJMU, University of Liverpool, and the University of Manchester. She currently leads multiple externally funded projects as a Reader at LJMU and previously served as Knowledge Exchange and Implementation Research Manager for the CLAHRC NWC. Her past roles include Postdoctoral Research Associate positions in clinical and methodological research. She has led large transformation projects with NHS Trusts and is an advisor, mentor, and Director of Studies to numerous PhD students and PDRAs. She also serves as Co-Chair of the International Suicide Prevention in Primary Care Special Interest Group.

Research Interests

Dr. Saini's research spans suicide prevention, self-harm intervention, postvention services, and health inequalities across various populations, with a strong emphasis on primary care, schools, emergency services, and minority communities. Her work includes co-produced mental health interventions, pathways to crisis care, and decision-making in psychiatric admissions. She also leads pioneering research into suicide prevention during menopause, adolescent mental health, and public involvement in health research.

Author Metrics

Dr. Saini has published 75 peer-reviewed journal articles, 47 conference papers, 1 book chapter, and over 30 other outputs. Her work is cited in 11 global policy documents, reflecting international influence. She has secured £1.97 million in external research funding as Principal Investigator, with additional in-kind funding of over £220,000. Her h-index is 13 with 825 citations, evidencing a robust and growing research impact.

Awards and Honors

Dr. Saini’s excellence has been recognized through multiple accolades, including the International Cochrane Bill Silverman Award (2015), the National Asian Women of Achievement Award (2018), and the Cogent Psychology International Spotlight Research Award (2022). She has received Faculty of Health Excellence Awards for research, knowledge exchange, and impact at LJMU. Her work has directly influenced national services, including the establishment of James’ Place suicide crisis centres, and contributed to policy documents from the UK government, WHO, and leading health organizations.

Publication Top Notes

1. Rates of Suicide Ideation and Associated Risk Factors Among Female Secondary School Students in Iraq

  • Authors: Saad Sabet Alatrany, Molly McCarthy, Ashraf Muwafaq Flaiyah, Emma Ashworth, Hasan Ali Sayyid Aldrraji, Abbas Saad Alatrany, Dhiya Al-Jumeily, Sarmad Nadeem, Jo Robinson, Pooja Saini

  • Journal: Healthcare

  • Publication Date: May 27, 2025

  • DOI: 10.3390/healthcare13111260

  • Publisher: MDPI

  • Summary: This study investigates the prevalence and correlates of suicide ideation among female secondary school students in Iraq. Findings highlight urgent needs for culturally appropriate suicide prevention strategies in educational settings.

2. Systems Thinking in Mental Health Patient Safety: A Narrative Review of Complex Adaptive Systems

  • Authors: Alexander Challinor, Oladayo Bifarin, Esmaeil Khedmati Morasae, Professor Pooja Saini, Kathryn Berzins, Rajan Nathan

  • Journal: Journal of Evaluation in Clinical Practice

  • Publication Date: May 19, 2025

  • DOI: 10.1111/jep.70080

  • ISSN: 1356-1294

  • Summary: This review explores how systems thinking and complex adaptive systems theory can improve safety in mental health services, offering a novel lens on patient risk management and clinician decision-making.

3. A Mixed Methods Longitudinal Case Study Exploring the Impact of a Community-Based, Brief Psychological Intervention for Men Experiencing Suicidal Crisis

  • Authors: Claire Anne Hanlon, Karli Montague-Cardoso, Jennifer Chopra, Jane Boland, David McIlroy, Helen Poole, Pooja Saini

  • Journal: PLOS Mental Health

  • Publication Date: April 8, 2025

  • DOI: 10.1371/journal.pmen.0000024

  • Summary: This study evaluates the effectiveness and sustainability of a novel brief psychological intervention for men in suicidal crisis. The mixed-methods approach captures both individual and systemic outcomes over time.

4. Risks to the Clinician of Risk Management: Recalled and Anticipated Consequences of Decision-Making

  • Authors: Alexander Challinor, Shivani Bhandari, Stephen Boyle, Mark Gabbay, Penny Wilson, Professor Pooja Saini, Rajan Nathan

  • Journal: Frontiers in Psychiatry

  • Publication Date: February 27, 2025

  • DOI: 10.3389/fpsyt.2025.1484372

  • PMID: 40084049 | PMC: PMC11904246

  • Summary: This article examines the emotional and professional toll on clinicians who make high-stakes mental health decisions. It underscores the need for organizational support structures in mental health services.

5. Rates of Suicide Ideation and Associated Risk Factors Among Female Secondary School Students in Iraq (Preprint)

  • Same authors as Article 1

  • Platform: Authorea (Preprint Server)

  • Publication Date: February 6, 2025

  • DOI: 10.22541/au.173883605.54614990/v1

  • Summary: Preprint version of the article later published in Healthcare. Useful for early dissemination and citation prior to peer-reviewed journal release.

Conclusion

Prof. Dr. Pooja Saini exemplifies the ideal candidate for the Best Researcher Award. Her portfolio combines academic excellence, public health impact, and global influence. She is a thought leader whose research has changed clinical pathways, improved health services, and saved lives, particularly in marginalized and high-risk populations.

Her dedication to equity, innovation, and mentorship, coupled with her consistently excellent output, aligns seamlessly with the core values such an award seeks to honor.

Mohamed Elhag | Remote Sensing | Best Researcher Award

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Prof. Dr. Mohamed Elhag | Remote Sensing | Best Researcher Award

Professor of Remote Sensing at Aerospace Information Research Institute, China

Professional Profile

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Summary

Professor Mohamed Elhag is an esteemed academic and environmental researcher specializing in remote sensing, geospatial technologies, and natural resources management. He currently serves as a Tenure Track Professor in the Department of Water Resources at King Abdulaziz University, Saudi Arabia. Additionally, he holds research fellow and visiting professor positions in Greece, China, and Oman, demonstrating a strong international academic footprint. His multi-decade career reflects extensive contributions to the fields of environmental science, water management, and geoinformation technologies.

Educational Details

Professor Elhag earned his Ph.D. in Water Resource Management from the University of Thessaly, Greece (2012), focusing on GIS, remote sensing, and spatial decision support systems. He holds an M.Sc. in Environmental Management (2008) and a Postgraduate Diploma in Environmental Management (2007) from the Mediterranean Agronomic Institute of Chania (MAICh), Greece. Earlier, he completed an M.Sc. in Plant Ecology (2008) and a B.Sc. in Special Botany (1999) from Cairo University, Egypt, in addition to postgraduate training in environmental studies and economics from the Faculty of Economics and Political Science, Cairo University.

Professional Experience

With over two decades of professional experience, Professor Elhag has served in leading academic and research roles across Europe, the Middle East, and Asia. At King Abdulaziz University, he has progressed from Assistant Professor to Full Professor since 2013. He also serves as a Research Fellow at the Chinese Academy of Sciences and CIHEAM/MAICh, and as Visiting Professor at the German University of Technology in Oman. Earlier roles include appointments at the University of Thessaly and the Mediterranean Agronomic Institute of Chania. His work encompasses teaching, research leadership, and project coordination in ecological mapping, climate impact assessment, and sustainable land use.

Research Interests

Professor Elhag’s research is centered on geo-information technologies, remote sensing, and environmental management, particularly in arid and semi-arid ecosystems. His interests span a broad spectrum including water resource modeling, land use dynamics, soil erosion, vegetation mapping, habitat conservation, hyperspectral and microwave remote sensing, and spatial statistical modeling for decision support in natural resource governance.

Author Metrics

According to Google Scholar, Professor Elhag has amassed 1,785 citations, with an h-index of 21 and i10-index of 53 (as of 2024). His research output includes over 100 peer-reviewed journal articles, book chapters, and international conference presentations. His work is widely published in high-impact journals such as Earth Systems and Environment, Sustainability, Arabian Journal of Geosciences, and Desalination and Water Treatment, reflecting significant academic influence across environmental science disciplines.

Awards and Honors

Throughout his career, Professor Elhag has been actively engaged in national and international research initiatives. He has been the principal investigator or co-PI on several funded projects by King Abdulaziz University and the King Abdulaziz City for Science and Technology. His commitment to academic excellence and cross-border scientific collaboration has earned him recognition within professional societies such as the Arab Water Council, Saudi Biological Society, and Water Sciences and Technology Association, as well as affiliations with numerous international environmental research programs.

Publicaiton Top Notes

1. Assessment of Surface Deformation Patterns Using InSAR Data: Implications for Human Impacts in Makkah City, Saudi Arabia
2. Understanding Drought: Agricultural and Socioeconomic Effects in Tekeze Watershed, Northern Ethiopia
3. Assessment of Machine Learning Techniques in Mapping Land Use/Land Cover Changes in a Semi-Arid Environment

  • Authors: Noamen Baccari, Mohamed Hafedh Hamza, Tarek Slama, Anis Sebei, Sarra Ouerghi, Rania Elsheikh, Naoufel Rebai, Mohamed Elhag

  • Journal: Earth Systems and Environment

  • Publication Date: January 2025

  • DOI: 10.1007/s41748-025-00620-3

  • Access: ResearchGateresearchgate.net

4. Assessment of Coastal Zone Vulnerability in Context of Sea-Level Rise and Inundation Risk in Qatar
5. Comparative Assessment of Process-Based Models for Simulating the Hydrological Response of the Himalayan River Basin

Conclusion

Professor Mohamed Elhag exemplifies what the Best Researcher Award aims to recognize: outstanding scholarly excellence, global academic leadership, innovation in high-impact research, and contributions to solving real-world environmental challenges. His output, citation record, interdisciplinary focus, and international presence make him a deserving candidate. With minor expansion into science communication and strategic collaborations, his profile could be even more impactful.

 

Aneerban Roy | Management | Best Researcher Award

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Mr. Aneerban Roy | Management | Best Researcher Award

Doctoral Scholar at Indian Institute of Technology Kharagpur, India

Professional Profile

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Summary

Mr. Aneerban Roy is a dynamic academician and doctoral researcher in Strategic Human Resource Management (SHRM) at the Indian Institute of Technology Kharagpur. With an interdisciplinary background in HR, marketing, and electrical engineering, his work focuses on E-HRM, leadership, emotional intelligence, and organizational sustainability. Known for his academic rigor, publication record, and conference presence, Mr. Roy brings a blend of research, teaching, and industry exposure that positions him as a rising contributor to the HRM and OB landscape.

Educational Details

Mr. Roy is currently pursuing his PhD in Strategic Human Resource Management at IIT Kharagpur (2020–2025), with a dissertation focusing on the dynamics of E-HRM and contextual variables. He completed his MBA in HR and Marketing from IIT (ISM) Dhanbad in 2019 with an impressive OGPA of 8.39. His technical foundation was laid with a B.Tech in Electrical Engineering from West Bengal University of Technology in 2016. He has a strong academic track record, having consistently performed well in his CBSE schooling and earned certifications in programming, automation, and emotional intelligence.

Professional Experience

Mr. Roy has gathered multi-faceted professional experience that bridges academics and industry. He served as a Teaching Assistant for the NPTEL course on Emotional Intelligence in both 2022 and 2024. His HR-focused internships at Tata Steel and Bharat Coking Coal Limited provided him early exposure to practical organizational dynamics. Additionally, he has worked on academic projects related to employee engagement, customer satisfaction, and health insurance awareness. His role as a reviewer for the Journal of Entrepreneurship Planning, Development and Management reflects his involvement in academic peer review and research evaluation.

Research Interest

His research interests span Strategic Human Resource Management, Organizational Behavior, International HRM, Emotional Intelligence, Leadership, and Sustainability. His PhD focuses on the evolving dynamics of E-HRM, with a particular interest in how contextual and psychological factors influence technology integration in HR practices. He is deeply interested in how emotional intelligence and self-leadership impact employee innovation, well-being, and sustainable organizational performance.

Author Metric

Mr. Roy’s scholarly contributions include journal articles and several book chapters published with reputable publishers such as Apple Academic Press, IGI Global, and Springer Nature. His work is indexed in Scopus, with his latest article in Cogent Business & Management (Q2) receiving attention for its bibliometric analysis of E-HRM research globally. He has presented at leading conferences like ISDSI Global Conference (IIM Nagpur) and Pan IIM World Management Conference (IIM Sambalpur), where he also served as a session chair. His growing portfolio of accepted and published research highlights a strong upward trajectory in academic impact.

Awards and Honors

Mr. Roy was honored with the Best Scientific Poster Presentation Award at the International Conference on Emerging Issues and Challenges in Global Mental Health and Public Health (2022). He is a qualified UGC-NET Assistant Professor (December 2020), further validating his academic credentials. He has also received distinction in the field of visual arts through the Bangiya Sangeet Parishad and holds an A+ grade in Diploma in Computer Application. These diverse accomplishments underline his holistic development as a scholar and educator.

Publication Top Notes

1. Evidence-Based Bibliometric Analysis of the Journey of E-HRM Research Across Nations

Summary: This study conducts a comprehensive bibliometric analysis of Electronic Human Resource Management (E-HRM) research across various nations. It identifies key trends, influential publications, and collaborative networks, providing insights into the global evolution of E-HRM scholarship.openaccessojs.com

2. Sustainability Through E-HRM: A Psychological Perspective

Summary: This chapter explores the intersection of E-HRM practices and sustainability from a psychological standpoint. It discusses how psychological theories and principles can enhance the effectiveness of E-HRM in promoting sustainable organizational practices.

3. Achieving Sustainable Performance by E-HRM Practices

Summary: This chapter presents a conceptual framework linking E-HRM practices to sustainable organizational performance. It employs social cognitive theory to discuss how E-HRM can be strategically utilized to achieve long-term sustainability goals.

Conclusion

Mr. Aneerban Roy is an exceptional early-career researcher with a clear research identity in E-HRM, emotional intelligence, and sustainable HRM. His active contributions through publications, conferences, and academic service, combined with his leadership in teaching and capacity-building initiatives, make him highly deserving of the Best Researcher Award in the Management domain.

Dr. Waleed Yousef | Branding | Business Impact Award

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Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yahya Yousef is a distinguished academic and professional with extensive experience in branding, consumer behavior, and education. With a Ph.D. in branding and consumer behavior from Middlesex University, London, he currently serves as the Director of Quality and Planning at the Royal Commission for Jubail and Yanbu. Dr. Yousef is also an Assistant Professor at Jubail University College, specializing in marketing and business administration. With a passion for research and professional development, he has published multiple studies on brand love, Islamic branding, and consumer behavior, contributing significantly to academic and industry knowledge. 📚🎓💼

Professional Profile:

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Education and Experience:

  • Ph.D. in Branding and Consumer Behavior – Middlesex University, London (2018) 🎓

  • Master’s in Marketing and Communications – Manchester Metropolitan University (2010) 📚

  • Bachelor’s in Administrative and Planning Science, Marketing – King Faisal University, Saudi Arabia (2007) 🎓

  • Director of Quality and Planning, Education Sector – Royal Commission for Jubail and Yanbu (2019-Present) 🏫

  • Chairman, Business Administration Department – Royal Commission for Jubail and Yanbu (2019-2020) 🏢

  • Assistant Professor – Jubail University College (2018-Present) 👨‍🏫

  • Lecturer – Jubail University College (2011-2018) 📖

  • Lecturer (Part-time) – Imam Abdulrahman Bin Faisal University (2011) 🏫

Professional Development:

Dr. Yousef is committed to both academic and professional development, having attended and led numerous workshops and conferences. His participation in global events like the Global Islamic Marketing Conference and workshops on research skills reflects his passion for continuous learning. As a trainer, he has conducted workshops on Customer Service, Effective Communication, Time Management, and Leadership, fostering skills development in various industries. His involvement in curriculum development, academic councils, and quality assurance initiatives further highlights his leadership and commitment to education. 💡🧑‍🏫📅

Research Focus:

Dr. Waleed Yousef’s research centers on branding and consumer behavior, particularly within Islamic markets. His studies explore the impact of religious beliefs on brand love, celebrity influence, and the effects of sustainable development on country image. Dr. Yousef has also contributed to research on consumer psychology and marketing strategies in Saudi Arabia and other global contexts. His work has been published in prestigious journals like Corporate Reputation Review and Sustainability, where he delves into the intersection of brand loyalty, consumer personality, and corporate reputation. 📑🧐🌍

Awards and Honors:

  • Best Paper Award – 6th Global Islamic Marketing Conference, 2015 🏆

  • Research Recognition – Multiple articles published in top-tier academic journals 📚

  • Academic Excellence Award – Middlesex University London 🏅

  • Outstanding Lecturer Award – Jubail University College (2017) 🏆

  • Conference Speaker – Various international conferences on marketing and branding 🌍

Publication Top Notes:

1. Do Social Pressure and Technological Development Influence Green Consumer Behavior? Evidence from Saudi Arabia

Author(s): Waleed Yahya Yousef (W.Y. Yousef)
Journal: International Journal of Advertising
Year of Publication: 2025
Citations: 0
DOI: Disabled (Link to the article is not provided)

Summary:
This study explores how social pressure and technological development impact green consumer behavior in Saudi Arabia. It examines how consumers’ environmental attitudes are influenced by both societal expectations and the technological advancements surrounding green products. The research suggests that social pressure, in particular, has a significant role in shaping consumer decisions to adopt environmentally friendly products, especially in a fast-developing society like Saudi Arabia. Technological innovation, such as eco-friendly product offerings and digital tools for environmental education, also plays a pivotal role in encouraging green purchasing decisions. The findings underline the importance of understanding local socio-cultural contexts in fostering sustainable consumption behaviors.

2. An Examination of the Influence of Attitude, Perceived Quality, and Social Pressure on Place Likeability, Revisit Intention, and Intention to Recommend; A Study of Consumers’ Perceptions Towards Shopping Malls in Saudi Arabia

Author(s): Waleed Yahya Yousef
Journal: Corporate Reputation Review
Date of Publication: June 30, 2022
DOI: 10.1057/s41299-022-00146-8
Citations: 3

Summary:
This study investigates how attitudes, perceived quality, and social pressure affect consumers’ perceptions of shopping malls in Saudi Arabia, specifically in terms of place likeability, revisit intention, and intention to recommend. The research finds that consumers’ overall perception of shopping malls is highly influenced by their attitudes towards the mall’s quality and the social environment in which they operate. Additionally, social pressure plays a significant role in consumers’ intention to revisit and recommend the mall. The paper suggests that mall managers and marketers in Saudi Arabia should consider the cultural and social factors when developing strategies to enhance customer satisfaction and loyalty. This study is particularly relevant for businesses looking to improve their brand reputation and customer base in the region.

Conclusion:

Dr. Waleed Yahya Yousef is an ideal candidate for the Business Impact Award due to his multifaceted contributions across education, research, industry development, and leadership. His scholarly achievements, coupled with his professional engagement in improving quality and planning within the educational and business sectors, position him as a transformative figure. Dr. Yousef’s work in branding and consumer behavior, particularly in Islamic markets, offers a valuable framework for contemporary business practices and contributes to the development of strategic marketing initiatives both regionally and globally. His continuous focus on professional development, research, and education makes him a significant force for positive change, deserving of the Business Impact Award.

Fadi Sibai | Network | Best Researcher Award

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Assoc. Prof. Dr. Fadi Sibai | Network | Best Researcher Award

Associate Professor at Gulf University for Science and Technology, Kuwait

Dr. Fadi Sibai is an accomplished Associate Professor at Gulf University for Science and Technology (GUST) in Kuwait, with over 35 years of experience in electrical and computer engineering, AI, cybersecurity, and academic leadership. He holds a Ph.D. in Electrical Engineering from Texas A&M University and has held senior roles in prestigious institutions like Intel, Saudi Aramco, and UAE University. Dr. Sibai’s interdisciplinary research focuses on AI, machine learning, cybersecurity, and digital design, with numerous publications, including over 78 journal articles and 10 books. He has received multiple prestigious awards, such as the IBM Faculty Award and nVIDIA Research Grant, and is recognized as a leading innovator in smart cities, healthcare, and AI ethics. His work has significantly impacted education, industry, and society, making him an ideal candidate for the Best Researcher Award.

Professional Profile
Scopus
Orcid
Google Scholar

Educational Details

Dr. Sibai earned his Ph.D. and M.S. degrees in Electrical Engineering from Texas A&M University, specializing in computer engineering with minors in computer science and communications. His doctoral research focused on AI-based coprocessor architectures. He also received his B.S. in Electrical Engineering from the University of Texas at Austin, concentrating on computer science and engineering. His academic qualifications are bolstered by certifications such as PMP, CISSP, CQRM, and advanced studies at Stanford University.

Professional Experience

Dr. Sibai’s career spans academia, industry, and research leadership. He served as Dean of Engineering at Prince Mohammad Bin Fahd University, Dean at American International University Kuwait, and Associate Dean at GUST, where he played a key role in curriculum development, program accreditation (ABET, NCAAA), and launching AI and cybersecurity programs. In the industry, he held senior positions at Intel Corporation and Saudi Aramco, overseeing impactful projects in HPC, network security, robotics, and IT/OT integration. He has also been a consultant, educator, and researcher at various global institutions, including Walden University, KFUPM, and UAE University.

Research Interests

Dr. Sibai's research is interdisciplinary, focusing on AI, machine learning, computer and embedded systems, high-performance computing, digital design, data science, robotics, and cybersecurity. His recent work includes AI for smart cities , AI ethics and regulation , ensemble learning models in healthcare , and network-on-chip architectures. He is also an expert in neural networks , fault-tolerant computing, and energy-aware systems, blending theoretical modeling with real-world applications.

Author Metrics

Dr. Sibai has authored or co-authored over 250 scholarly publications, including 78+ journal articles, 10 books/book chapters, and numerous conference papers . Many of these are indexed in Scopus and IEEE Xplore, with his work being cited nearly 1,000 times. He is a long-time member of editorial boards and technical committees for top journals and conferences.

Awards and Honors

Dr. Sibai’s career has been recognized with numerous prestigious awards, including the IBM Shared University Research Award , IBM Faculty Award, nVIDIA Research Grant, and multiple Intel awards for innovation and performance excellence. He was named among IBC’s Top 100 Engineers and Educators and featured in Who’s Who in the World. He is also a distinguished speaker at international conferences and won the Best Research Project Award at UAE University. As a Senior IEEE Member and a member of organizations like PMI and ISC2, he is widely respected in both academia and industry.

Publication Top Notes
1. ParaEyes: The Smart Eye Bot System for Paralyzed Patients

  • Authors: M. Al Jaziri, G. Al Ali, H. Al Swailmeen, A.A. El-Moursy, F.N. Sibai

  • Journal: Journal of Circuits, Systems and Computers, 2025

  • Summary:
    This paper presents ParaEyes, a smart assistive bot system that enables paralyzed patients to interact with their environment using eye movements and blinking patterns. Leveraging computer vision, machine learning, and sensor fusion, the system facilitates tasks such as communication and device control. The research highlights its real-world applicability in neurorehabilitation and patient autonomy, especially for individuals with ALS or spinal cord injuries.

2. Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Platform: bioRxiv preprint, 2025.02.17.638660

  • Summary:
    This study extracts and preprocesses genomic data from The Cancer Genome Atlas (TCGA) using cBioPortal, creating machine-learning-ready datasets for the development of predictive models in personalized cancer treatment. It lays the foundation for using ML classifiers to assist oncologists in tailoring treatment plans based on genomic signatures, supporting precision oncology research.

3. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector

  • Authors: K. Ibrahim, D. Otaibi, F.N. Sibai

  • Journal: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025

  • Summary:
    This paper examines the reliability and vulnerability of AI-based plagiarism detection tools, particularly Turnitin’s AI Content Detector, in detecting content generated or modified by large language models (LLMs). The findings expose potential weaknesses in current detection algorithms and propose methods for enhancing AI classifier robustness in academic integrity systems.

4. Application of Ensemble Learning Models in Computer-Aided Diagnosis of Skin Diseases

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Journal: Neural Computing and Applications, 2025

  • Summary:
    This research evaluates the performance of ensemble learning models (such as Random Forest, XGBoost, and AdaBoost) for diagnosing skin diseases using clinical and dermoscopic image data. The models showed high accuracy, sensitivity, and specificity, demonstrating that ensemble-based approaches can significantly enhance AI-aided dermatological diagnostics.

5. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Journal: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper proposes a collaborative and adaptive cybersecurity framework designed for cognitive cities. It integrates machine learning algorithms and shared threat intelligence to enable smart urban infrastructure to defend against evolving cyber threats. The model improves resilience, detection, and adaptability in real-time, supporting safe digital environments in smart city ecosystems.

Conclusion

Assoc. Prof. Dr. Fadi Sibai is eminently qualified for the Best Researcher Award, standing out for his long-term research excellence, technological innovation, and strategic leadership in academic and applied AI domains. His work addresses societal challenges through AI, pushes forward smart infrastructure and cybersecurity, and contributes meaningfully to medical, ethical, and educational AI ecosystems.

His record of scholarship, innovation, mentorship, and global engagement makes him a deserving and ideal candidate for this prestigious honor. The award would not only recognize his decades of impact but also support his ongoing contributions to shaping the future of AI, education, and engineering.

Abdullah Abonamah | Machine Learning | Best Researcher Award

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Prof. Abdullah Abonamah | Machine Learning | Best Researcher Award

Research Affiliate at George Washington University, United States

Prof. Abdullah A. Abonamah is a distinguished academic and technology leader with over 40 years of expertise in artificial intelligence (AI), machine learning, and higher education. He currently serves as a Professor of Computing and AI at George Washington University and Chairman of AI Learning Solutions in the UAE. Dr. Abonamah has held key leadership roles, including President of the Abu Dhabi School of Management and CEO of the UAE Academy. He holds a Ph.D. in Computer Science from the Illinois Institute of Technology and has contributed extensively to AI research, focusing on AI integration in business processes, healthcare, smart cities, and cybersecurity. With over 10 patents in AI-driven systems and numerous scholarly publications, his work is widely cited in both academia and industry. Dr. Abonamah has secured over $1 million in research funding and has received several prestigious awards, including the Government of Abu Dhabi Recognition Award. His innovative projects have influenced AI and digital transformation strategies globally, and he has represented the UAE in international delegations. Prof. Abonamah’s leadership, combined with his groundbreaking research, positions him as a deserving candidate for the Best Researcher Award.

Professional Profile
Scopus
Google Scholar

Summary

Dr. Abdullah A. Abonamah is a highly accomplished academic, technology strategist, and business leader with over four decades of experience in computing, artificial intelligence, and higher education leadership. He currently serves as Professor of Computing and AI at George Washington University’s Environmental and Energy Management Institute and is Chairman of the Board of AI Learning Solutions in the UAE. Dr. Abonamah has held numerous executive, academic, and advisory roles, including President and Provost of the Abu Dhabi School of Management, and CEO of the UAE Academy. His work bridges academia, innovation, and industry with a focus on AI adoption, data strategy, and digital transformation.

Educational Background

Dr. Abonamah holds a Ph.D. in Computer Science from the Illinois Institute of Technology, USA, and an M.S. in Computer Science and Engineering from Wright State University. He earned his B.S. in Computer Science from the University of Dayton and later obtained an Executive Management Certificate from Yale School of Management. His multidisciplinary academic foundation has empowered his leadership in both technical research and institutional development.

Professional Experience

Dr. Abonamah has served in numerous high-impact roles, including:

  • Professor of Computing at Abu Dhabi School of Management (2007–2024)

  • Professor of IT at Zayed University (2000–2007)

  • Director of the Institute for Technological Innovation (Dubai Internet City)

  • Chair, AI Management Institute at ADSM

  • Business leader and strategist in several startups and research institutes
    In his leadership positions, he led major organizational transformations, managed multimillion-dollar budgets, implemented ERP and AI systems, developed academic programs, and fostered public-private partnerships. He also served as Dean, Program Director, and Assistant Dean in various institutions, ensuring accreditation and global standards compliance.

Research Interests

Dr. Abonamah’s research spans artificial intelligence, machine learning, cybersecurity, fault-tolerant computing, and innovation ecosystems. His recent work focuses on the integration of AI into business processes, human-centered machine learning, and strategic data governance. He is also involved in applied AI projects in healthcare, smart cities, and education technology.

Author Metrics

Dr. Abonamah has authored and co-authored dozens of journal articles, book chapters, and conference papers, many of which are indexed in Scopus, IEEE, and Web of Science. He holds multiple patents and intellectual property certificates for AI-driven systems, ERP modules, academic tools, and mobile apps. His scholarship includes both foundational theory and practical implementations, making his work highly cited in both academic and industry domains.

Awards and Honors

Dr. Abdullah A. Abonamah has been the recipient of numerous prestigious awards and recognitions throughout his distinguished career. He was honored with the Government of Abu Dhabi Recognition Award in 2017 for his outstanding contributions to higher education and institutional development. Over the years, he has secured multiple competitive research grants totaling more than $1 million, including major funding for the development of AI and cybersecurity programs by the Federal Authority for Identity, Citizenship, Customs & Port Security and the Emirates Academy for Identity and Citizenship. His innovative projects have led to the creation of several intellectual property-certified digital systems, earning formal recognition from the UAE Ministry of Economy, with over 10 patented and certified software applications in AI, ERP systems, and academic tools. Dr. Abonamah was also awarded the US State Department MEPI Grant for the Emirati Women’s Organizational Leadership Program and received the Microsoft Instructional Lab Grant and other major institutional grants for research labs and technology initiatives. Recognized for his leadership, he has represented the UAE on international delegations, including a technological mission to Japan, and has consistently been acknowledged for his impactful work in promoting innovation, entrepreneurship, and digital transformation in education and governance.

Publication Top Notes

1. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Published in: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper introduces a novel adaptive cybersecurity algorithm specifically designed for cognitive cities, which rely heavily on interconnected AI systems and IoT infrastructure. The algorithm leverages collaborative machine learning, enabling various smart subsystems to share threat intelligence and dynamically adjust defenses in real time. The model improves resilience, threat detection speed, and situational awareness, offering a scalable security solution for complex urban networks.

2. Managerial Insights for AI/ML Implementation: A Playbook for Successful Organizational Integration

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover Artificial Intelligence, 2024, Vol. 4(1), Article 22

  • Summary:
    This publication acts as a strategic guide for executives and IT leaders aiming to deploy AI and machine learning within organizations. It outlines a structured playbook, highlighting critical success factors, common pitfalls, change management practices, and technology readiness considerations. The work is grounded in case studies and offers a framework for bridging technical solutions with organizational goals.

3. Discover Artificial Intelligence

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover, 2024, Vol. 4, Article 22

  • Summary:
    This appears to be a companion piece or an editorialized version of the article above, with expanded commentary on AI governance, leadership roles, and ethical implementation frameworks. It emphasizes building institutional capability and fostering innovation culture for sustainable AI integration.

4. Wearable Sensor-Based Device for Predicting, Monitoring, and Controlling Epilepsy and Methods Thereof

  • Inventors: M.U. Tariq, A.A. Abonamah

  • Filing Number: US Patent App. 18/107,839

  • Filed in: 2023

  • Summary:
    This patent proposes a wearable biomedical device equipped with sensor arrays and AI algorithms for the real-time detection, prediction, and intervention of epileptic seizures. The system analyzes physiological data—such as ECG, EEG, and temperature signals—and uses machine learning to anticipate seizure events, offering alerts or therapeutic responses. It aims to enhance autonomous patient care and reduce medical emergencies, particularly in outpatient or home settings.

5. Artificial Intelligence Technologies and Platforms

  • Authors: M.U. Tariq, A. Abonamah, M. Poulin

  • Published in: Engineering Mathematics and Artificial Intelligence, 2023, pp. 211–226

  • Summary:
    This book chapter provides an in-depth analysis of leading AI platforms and ecosystems, such as TensorFlow, PyTorch, and Azure AI. It covers architecture, deployment strategies, and use cases across domains like healthcare, finance, and smart cities. The chapter emphasizes the selection criteria for AI tools, and how platform choices affect scalability, maintainability, and compliance in enterprise contexts.

Conclusion

Prof. Abdullah A. Abonamah is an outstanding and highly deserving candidate for the Best Researcher Award. His blend of academic scholarship, applied innovation, institutional leadership, and global impact positions him uniquely at the intersection of technology and societal advancement. His research addresses real-world challenges with AI-driven solutions, while his leadership roles have built enduring institutions and empowered future generations.

Given his contributions to AI research, higher education reform, cross-sectoral innovation, and IP development, Prof. Abonamah clearly meets and exceeds the criteria for this award. He is not only a prolific scholar but also a visionary leader and mentor, making him an ideal recipient of the Best Researcher Award.