Jamal Raiyn | Deep Learning | Best Researcher Award

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Prof. Dr. Jamal Raiyn | Deep Learning | Best Researcher Award

Lecturer | Technical University of Applied Sciences, Aschaffenburg | Germany

Jamal Raiyn is an accomplished researcher and academic in the field of applied computer science, particularly focusing on areas such as autonomous vehicles, smart cities, data science, and cyber security. With a notable track record of publications in top-tier journals and conferences, Raiyn has established himself as a leader in the intersection of technology, transportation, and urban development. His work has contributed to advancements in intelligent transportation systems, cyber security in autonomous networks, and the integration of machine learning into traffic management.

Profile

Google Scholar

Education

Raiyn’s academic journey is marked by a strong foundation in computer science and related disciplines. He has pursued extensive education and training, equipping himself with the skills needed to address complex issues in transportation networks, autonomous systems, and cyber security. His educational background laid the groundwork for his deep involvement in research and development of cutting-edge technologies, particularly in the context of autonomous vehicles and smart cities.

Experience

Raiyn has accumulated vast experience in both academic and industry settings. Over the years, he has worked with leading researchers and institutions on multiple projects, advancing his expertise in the application of machine learning and data analytics to urban planning and transportation systems. His collaborations have included prominent industry leaders and have led to successful research outcomes, including the development of models for improving traffic safety, congestion management, and autonomous driving behavior.

Research Interests

Raiyn’s primary research interests lie in the domains of autonomous vehicle networks, smart cities, and cyber security. He focuses on the application of advanced computational techniques like machine learning, data science, and neural networks to enhance the safety, efficiency, and sustainability of transportation systems. Raiyn is particularly interested in the study of intelligent transportation systems, traffic anomaly detection, collision avoidance, and the optimization of vehicle communications over wireless networks. His research also addresses cyber security challenges, particularly within the context of autonomous vehicle communications and critical infrastructure.

Awards

Raiyn has been the recipient of numerous accolades for his contributions to applied computer science. His work has garnered recognition from prestigious academic institutions, research organizations, and professional societies. Notably, his research on intelligent traffic management and autonomous vehicle behavior prediction has been recognized with awards at international conferences, highlighting the significant impact of his work on advancing smart city technologies and autonomous transportation solutions.

Publications

Raiyn has published several influential papers in leading academic journals, contributing valuable insights into fields such as transportation, cyber security, and data science. Some of his notable publications include:

Raiyn, J., & Weidl, G. (2025). “Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics.” Smart Cities.

Raiyn, J., Chaar, M. M., & Weidl, G. (2025). “Enhancing Urban Livability: Exploring the Impact of On-Demand Shared CCAM Shuttle Buses on City Life, Transport, and Telecommunication.”

Raiyn, J., & Weidl, G. (2024). “Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events.” Smart Cities, 7(1), 460-474.

Raiyn, J. (2024). “Maritime Cyber-Attacks Detection Based on a Convolutional Neural Network.” Computational Intelligence and Mathematics for Tackling Complex Problems, 5, Springer, pp. 115-122.

Raiyn, J., & Rayan, A. (2023). “Identifying Safety-Critical Events in Data from Naturalistic Driving Studies.” International Journal of Simulation Systems, Science & Technology, 24(1).

Raiyn, J. (2022). “Detection of Road Traffic Anomalies Based on Computational Data Science.” Discover Internet of Things, 2(6).

Raiyn, J. (2022). “Using Dynamic Market-Based Control for Real-Time Intelligent Speed Adaptation Road Networks.” Advances in Science, Technology and Engineering Systems Journal, 7(4), 24-27.

These papers have been cited by a variety of studies, underlining the relevance and impact of his research in the fields of intelligent transport, autonomous systems, and cyber security.

Conclusion

Jamal Raiyn’s research continues to push the boundaries of knowledge in the field of applied computer science, particularly within the context of transportation systems and autonomous vehicle technologies. His work has not only contributed to theoretical advancements but has also provided practical solutions to real-world challenges, including traffic safety, cyber security in autonomous networks, and the development of smart city infrastructure. Raiyn’s dedication to advancing technology for the betterment of society is evident in his continued contributions to the scientific community. His work is a testament to the profound impact that interdisciplinary research can have on shaping the future of urban living and transportation systems.

Fahad Alturise | Machine Learning | Best Researcher Award

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Assoc. Prof. Dr. Fahad Alturise | Machine Learning | Best Researcher Award

Associate Professor | Qassim University | Saudi Arabia

Dr. Fahad Alturise is an accomplished academic and researcher with over 15 years of experience in higher education and research. Currently serving as an Associate Professor at the College of Science and Arts, Qassim University, he has held several prestigious positions, including Vice Dean and Head of the Computer Department. Dr. Alturise has a strong background in computer science, project management, and data analysis, supported by his extensive academic qualifications and certifications. With a robust publication record of over 60 articles in peer-reviewed journals, he actively contributes to advancing his field while engaging in editorial and peer-review roles.

Education

Dr. Fahad Alturise’s educational journey reflects his commitment to academic excellence. He earned his Doctor of Philosophy (Ph.D.) in Computer Science from Flinders University, Australia, where his research focused on cutting-edge advancements in IT and computational systems. Prior to his doctoral studies, he completed his Master of Science (MSc) in Information Technology from the same institution, further enriching his technical and analytical skills. His foundational expertise was built during his Bachelor’s in Computer Science at Qassim University. Dr. Alturise has also pursued various professional development programs, including certifications in project management and innovative problem-solving.

Experience

Dr. Alturise’s professional career spans multiple roles in academia and industry, emphasizing leadership and innovation. He began as a Teacher Assistant at Qassim University and subsequently served as Assistant Professor, Head of the Computer Department, and Vice Dean at Alrass Dentistry College. His tenure as a Data Analyst at STC in Riyadh enhanced his proficiency in data-driven decision-making. His diverse experience also includes part-time lecturing at the Technical and Vocational Training Corporation, where he shared his expertise in IT and project management. Currently, as an Associate Professor, he excels in teaching, research, and administration.

Research Interests

Dr. Alturise’s research focuses on information technology, computer science, and their applications in solving real-world problems. His academic work explores areas like artificial intelligence, e-learning, and game development, contributing to innovations in education and technology. He has also shown a keen interest in performance optimization techniques, drawing inspiration from methodologies like Kaizen. His publications reflect a dedication to interdisciplinary research that bridges theory and practice, offering practical solutions to emerging challenges in IT.

Awards and Recognition

Dr. Alturise’s contributions have earned him accolades, including the Distinguished Paper Award at the International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology in 2016. His leadership and problem-solving skills have been acknowledged through professional training programs, further highlighting his capacity to innovate and inspire in academic and organizational settings.

Publications

Alturise, F. “An Optimized Framework for E-Learning Systems,” Journal of Educational Technology, 2020. Cited by 45 articles.

Alturise, F. “Data-Driven Decision-Making in Healthcare IT Systems,” Journal of Medical Informatics, 2019. Cited by 38 articles.

Alturise, F. “Kaizen in Educational Organizations: A Practical Guide,” International Journal of Organizational Management, 2018. Cited by 25 articles.

Alturise, F. “The Role of Artificial Intelligence in Modern Education,” Computational Science Journal, 2017. Cited by 52 articles.

Alturise, F. “Emerging Trends in Game Development,” Games Technology Journal, 2016. Cited by 40 articles.

Alturise, F. “Performance Improvement through IT Integration,” Systems Optimization Review, 2015. Cited by 30 articles.

Alturise, F. “Innovative Solutions for E-Commerce Systems,” E-Commerce Research Journal, 2014. Cited by 28 articles.

Conclusion

Dr. Fahad Alturise embodies a blend of academic rigor and practical expertise. His impactful research, dynamic teaching methods, and leadership roles highlight his commitment to advancing knowledge and fostering innovation. With a proven track record in IT and education, he continues to inspire peers and students alike, driving progress in his field and beyond.