Avraham Lalum | Machine Learning | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Avraham Lalum | Machine Learning | Best Researcher Award

PhD | University of Córdoba | Israel

Avraham (Avi) Lalum is a distinguished legal scholar and researcher specializing in the intersection of real estate law, artificial intelligence, and conflict resolution. His research explores advanced AI-driven models for risk management in real estate transactions, integrating decision-oriented mediation (DOM), behavioral analytics, and deep learning to enhance investment decision frameworks. Lalum’s scholarly contributions bridge the gap between legal regulation and computational modeling, offering innovative methodologies for explainable AI in property law, negotiation, and human–machine interaction. His studies emphasize how artificial intelligence can simulate human reasoning to mitigate financial risk and promote fairness in high-stakes negotiations. His works are widely recognized in Scopus and Web of Science-indexed journals, contributing significantly to the fields of law, data science, and behavioral AI. With a growing academic impact reflected in over 300 citations and an h-index of 6 on Scopus (and 9 on Google Scholar), Lalum’s publications demonstrate both theoretical depth and practical application in LegalTech and AI ethics.

Profile

ORCID

Featured Publications 

Lalum, A., López del Río, L. C., & Villamandos, N. C. (2024). Synthetic reality mapping of real estate using deep learning-based object recognition algorithms. SN Business & Economics, Springer.
Lalum, A., Caridad López del Río, L., & Ceular Villamandos, N. (2025). Multi-dimensional AI-based modeling of real estate investment risk: A regulatory and explainable framework for investment decisions. Mathematics, MDPI.

 

Dr. Abderraouf Gherissi | Technologies | Excellence in Innovation Award

Published on by Computer Scientists Awards

Dr. Abderraouf Gherissi | Technologies | Excellence in Innovation Award

Dr. Abderraouf Gherissi | Associate Professor | University of Tabuk | Saudi Arabia

Academic Background

Dr. Abderraouf Gherissi holds advanced qualifications in mechanical engineering, progressing through successive academic stages at leading institutions in Tunis. His doctoral research centered on the multiscale mechanical behavior of woven composites, laying the foundation for his specialization in engineering materials and advanced manufacturing. His scholarly influence is reflected in Scopus with more than one hundred citations across over one hundred documents and an h-index of six. On Google Scholar, his citations exceed one hundred with an h-index of six and an i10-index of three, showcasing consistent academic engagement and impact across his publication record.

Research Focus

His research activities revolve around composite materials, mechanical behavior modeling, renewable energy applications, and the engineering of wave and wind energy systems. He also explores advanced manufacturing and material performance through experimental and numerical approaches.

Work Experience

Over his career, he has served in academic and industrial capacities across multiple countries. He has taught a wide range of core and specialized mechanical engineering courses at both undergraduate and postgraduate levels, supervised numerous graduation projects, and contributed to program development and accreditation. His professional trajectory includes roles as associate professor, assistant professor, senior instructor, lecturer, and department head, along with industry leadership experience in maintenance and production. His involvement spans teaching, curriculum design, program assessment, supervision, and applied engineering projects in educational institutions and technical organizations.

Key Contributions

He has contributed to the progression of mechanical engineering education through curriculum innovation, accreditation leadership, mentorship, and collaboration on applied research initiatives. His funded research projects address renewable energy, composite structures, and mechanical system design. His work extends to computational simulation, structural analysis, and the development of energy-conversion technologies.

Awards and Recognition

He has received acknowledgments for excellence in project supervision, online teaching quality, and contributions to accreditation success at institutional and departmental levels.

Professional Roles and Memberships

He has been actively associated with research laboratories and academic committees in Saudi Arabia and Tunisia. His involvement includes roles in engineering accreditation processes with national and international bodies. He serves as a reviewer for high-index journals and participates in research groups focusing on materials science, product engineering, and energy systems.

Publication Profile:

Scopus

ORCID

Google Scholar

Featured Publications

Gherissi, A., ELnasri, I., Lakhouit, A., & Ali, M. (2025). Design and optimization of a wave-adaptive mechanical converter for renewable energy harvesting. Processes.

Ali, M., Gherissi, A., & Altaharwah, Y. (2023). Experimental and simulation study on a rooftop vertical-axis wind turbine. Open Engineering.

Malek Ali, M., Gherissi, A., & Al-Assaf, A. (2022). A review on the effects of ceramic sand particles on casting defects. Journal of Ceramic Processing Research.

Gherissi, A., Fadhil, M., Asiri, A., & Alhwiti, M. (2021). Wind turbine blades based on palm cellulose fiber composites. Journal of Silicate Based and Composite Materials.

Ali, M., & Gherissi, A. (2017). Synthesis and characterization of composite material with chitosan variations. International Journal of Mechanical and Mechatronics Engineering.

Impact Statement / Vision

His work advances the integration of composite materials and renewable energy technologies through research-driven engineering solutions. He seeks to bridge applied mechanics, sustainability, and innovation in manufacturing to support global energy and environmental goals. His vision aligns with developing efficient mechanical systems that contribute to future-ready engineering practices.

Gaber Hassan | Internet of Things | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

  1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
    🔗 Fractal and Fractional, 2025
    📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
    🔗 Fractal and Fractional, 2023
    📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
    🔗 IEEE Access, 2023
    📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
    📘 Journal: IEEE Access

  4. New Set of Invariant Quaternion Krawtchouk Moments
    🔗 International Journal of Image and Graphics, 2022
    📅 Year: 2022 | Cited by: [2+ articles]
    📘 Journal: IJIG

  5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
    🔗 IEEE Access, 2020
    📅 Year: 2020 | Cited by: [17+ articles]
    📘 Journal: IEEE Access

  6. Efficient Quaternion Moments for Representation of Biomedical Color Images
    🔗 Biomedical Engineering: ABC, 2020
    📅 Year: 2020 | Cited by: [11+ articles]
    📘 Journal: Biomedical Engineering: Applications, Basis and Communications

  7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
    🔗 ESTIJ, 2013
    📅 Year: 2013 | Cited by: [3+ citations]
    📘 Journal: Engineering Science and Technology: An International Journal

  8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
    🔗 IJCA, 2014
    📅 Year: 2014 | Cited by: [8+ citations]
    📘 Journal: International Journal of Computer Applications

 

Abdulkareem Alzahrani | Computational Intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Assoc. Prof. Dr. Abdulkareem Alzahrani | Computational Intelligence | Best Researcher Award

Associate Professor of Artificial Intelligence at CS Dept. and Vice-Dean for Postgraduate Studies, Research, Innovation, and Quality, Saudi Arabia

🎓 Dr. Abdulkareem Aodah Alzahrani is an Associate Professor in Computer Science specializing in Artificial Intelligence at Al-Baha University, Saudi Arabia. He currently serves as the Vice Dean for Postgraduate Studies, Research, Innovation, and Quality at the Faculty of Computing and Information. With a career spanning over 16 years, Dr. Alzahrani has held several leadership roles, including Head of the Computer Information Systems and IT Departments. He is a founding member of multiple research and innovation committees, contributing significantly to the advancement of AI and machine learning applications. 🌟

Publication Profile

Google Scholar

Education

📚 Dr. Alzahrani earned his Ph.D. in Computer Science from the University of Essex, UK, in 2017, specializing in Artificial Intelligence. He also holds an MSc in Advanced Web Engineering from the University of Essex (2011) and a BEd in Computer Science from Abha Teacher College, Saudi Arabia (2007). His academic journey reflects his passion for advancing AI and computational research. 🌍

Experience

💼 Dr. Alzahrani has held pivotal roles at Al-Baha University, including Vice Dean (2023–present), Member of the Standing Committee for Scientific Research and Innovation (2024–present), and Head of the Computer Information Systems Department (2020–2023). He was instrumental in establishing a cooperative computer research lab between Al-Baha University and the Research, Development, and Innovation Authority. With extensive teaching and administrative experience, he has significantly contributed to enhancing the university’s academic and research environment. 🌐

Awards and Honors

🏅 Dr. Alzahrani has received the Reward for Excellence four times during his Ph.D. studies, awarded by the Saudi Arabian Cultural Bureau in London. Additionally, he was honored with the Abha Award of Excellence in IT in 2006, recognizing his contributions to the field. His accolades underscore his commitment to academic and technological excellence. 🏆

Research Focus

🔍 Dr. Alzahrani’s research focuses on Artificial Intelligence, Machine Learning, and their applications in healthcare, tourism, and security. His work includes developing robust machine learning models, sentiment analysis for multimedia, and AI-driven solutions for real-world challenges. He is particularly interested in hybrid frameworks and innovative methodologies for enhancing computational efficiency. 🤖

Conclusion

🌟 Dr. Abdulkareem Aodah Alzahrani is a distinguished academic and researcher dedicated to advancing AI and computing. His extensive experience, impactful research, and leadership roles make him a prominent figure in Saudi Arabia’s academic and technological landscape. 🚀

Publications

AI-Driven Innovations in Tourism: Developing a Hybrid Framework for the Saudi Tourism Sector (2025) – AI, 6.1, DOI:10.3390/ai6010007.
Cited by: 7.

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Based on Hassanat Distance Metric (2024) – DOI:10.21203/rs.3.rs-4492948/v1.
Cited by: 10.

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric (2024) – Mathematics, 12.22, DOI:10.3390/math12223623.
Cited by: 15.

Advanced CKD Detection through Optimized Metaheuristic Modeling in Healthcare Informatics (2024) – Scientific Reports, 14.1, DOI:10.1038/s41598-024-63292-5.
Cited by: 20.

DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images (2024) – Computer Systems Science and Engineering, 48.2, DOI:10.32604/csse.2023.039672.
Cited by: 25.

Improved Support Vector Machine Based on CNN-SVD for Vision-Threatening Diabetic Retinopathy Detection and Classification (2024) – PLOS ONE, 19.1, DOI:10.1371/journal.pone.0295951.
Cited by: 18.

Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework (2023) – Computer Systems Science and Engineering, 46.2, DOI:10.32604/csse.2023.035149.
Cited by: 30.

Harnessing Machine Learning for Arabic COVID-19 Omicron News Classification: A Comparative Study (2023) – International Journal of Advances in Soft Computing & Its Applications, 15.2.

A Comparative Study for SDN Security Based on Machine Learning (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39065.
Cited by: 12.

Cloud Intrusion Detection System Based on SVM  (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39063.
Cited by: 14.