Dr. Maher Alrahhal | Security | Best Researcher Award

Dr. Maher Alrahhal | Security | Best Researcher Award

Postdoctoral, University of Sharjah, United Arab Emirates

Dr. Maher Abdul Moein Alrahhal is a Postdoctoral Research Associate at the Research Institute of Science and Engineering, University of Sharjah, UAE, and a Postdoctoral Fellow at Amity University Dubai, UAE. He holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, specializing in Artificial Intelligence, Big Data, and Data Analysis. With a solid background in computer science and engineering, Dr. Alrahhal has made significant contributions to the fields of machine learning, image retrieval, and data mining 🌐💡.

Publication Profile

Google Scholar

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🎓Education Background

Dr. Alrahhal’s educational journey is marked by excellence, with a Ph.D. in Computer Science and Engineering from JNTU, Hyderabad, India (March 2024). He completed his Master of Technology in Computer Science and Engineering with First Division from the National Institute of Technology, Warangal, India (July 2018). He holds a Bachelor’s degree in Computer Engineering from the University of Aleppo, Syria, graduating with honors and securing the first rank in his department 🏆📚.

👨‍🏫Professional Experience

Dr. Alrahhal has a robust academic career with over five years of teaching experience at prominent institutions in Syria and India. He has served as a Teaching Assistant at the University of Aleppo, and later as a Lecturer and Assistant Supervisor at JNTU, Hyderabad. Dr. Alrahhal also led the Big Data Lab at JNTU and played a key role in mentoring seven master’s students. His postdoctoral roles involve research and teaching at the University of Sharjah and Amity University Dubai, UAE 💻📖.

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🏅Awards and Honors

Dr. Alrahhal has received several prestigious awards, including the Best Paper Award at IEMTRONICS 2025 for his work on “Hybrid CNN for Efficient Content-Based Image Retrieval Cognitive Systems” 🥇. In recognition of his outstanding achievements, he was honored with the Alan Turing Award at the International Royal Golden Award ceremony (2023). Other notable accolades include the University Excellence Distinction for first-ranking in 2014 and multiple Al-Basel Certificates for Excellence 🏅🎖️.

🔍 Research Focus

Dr. Alrahhal’s research focuses on Artificial Intelligence, Machine Learning, Big Data, Data Mining, and Image Retrieval. His work explores the integration of deep learning techniques with image and video processing, multimedia systems, and the application of Hadoop for scalable data analysis. His contributions aim to advance content-based image retrieval systems and the development of intelligent systems for real-world applications 📊🤖.

💡🌐Conclusion

Dr. Maher Abdul Moein Alrahhal is a dynamic researcher and academic, committed to advancing the fields of Artificial Intelligence and Data Science. With numerous published works in high-impact journals and ongoing research initiatives, he continues to shape the future of intelligent systems and multimedia applications 🌟📈.

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📚Publications

Disruptive Attacks on Artificial Neural Networks: A Systematic Review of Attack Techniques, Detection Methods, and Protection Strategies, Intelligent Systems with Applications, in press.

MapReduce model for efficient image retrieval: a Hadoop-based framework, International Journal of Information Technology (Springer, Scopus Q1).

Enhancing Image Retrieval Systems: A Comprehensive Review of Machine Learning Integration In CBIR, International Journal of Intelligent Systems and Applications in Engineering, 12(4), 4195–4214.

Integrating Machine Learning Algorithms for Robust Content-Based Image Retrieval, International Journal of Information Technology, DOI: 10.1007/s41870-024-02169-2 (Springer, Scopus Q1).

Automatic diagnosis of epileptic seizures using entropy-based features and Multimodal Deep Learning Approaches, Medical Engineering and Physics, DOI: 10.1016/j.medengphy.2024.104206, (Elsevier, Scopus Q1).

Enhancing image retrieval accuracy through multi-resolution HSV-LNP feature fusion and modified K-NN relevance feedback, International Journal of Information Technology, DOI: 10.1007/s41870-024-02000-y, (Springer, Scopus Q1).

Borka Jerman Blažič | Cyber Security Award | Best Researcher Award

Prof. Borka Jerman Blažič | Cyber Security Award | Best Researcher Award

Ljubljana, University of Ljubljana, Economic Department and Jožef Stefan Institute, Slovenia

Borka Džonova Jerman-Blazic is a full professor and scientific advisor at the Faculty of Economics, University of Ljubljana, where she teaches courses on “Telecommunication Services and Mechanism” and “Electronic Communications.” She is also the head of the Laboratory for Open Systems and Networks at the Jožef Stefan Institute in Ljubljana, Slovenia. With over 40 years of experience in academia and research, she has made significant contributions to the fields of telecommunications, information technology, and internet security. Her involvement in European and international projects has led to her recognition as a leader in these fields. She is actively engaged in shaping the digital future of Europe and beyond.

Publication Profile

Scopus

Education 🎓

Borka Džonova Jerman-Blazic earned a Master of Science degree in 1975 from the University of Ljubljana, specializing in Electrical Engineering and Computer Science. She completed her Ph.D. in 1981 at the University of Zagreb, Faculty for Natural Sciences in Croatia.

Experience 💼

Her professional career spans several decades, beginning in 1971 at the Jožef Stefan Institute, where she has held various roles, including Head of the Laboratory for Open Systems and Networks. As a full professor at the University of Ljubljana, she teaches courses in telecommunications and electronic communications. She has held visiting scientist positions at Iowa State University and Drake University in the U.S. (1982-1983) and has been involved in numerous European projects, including the RARE network and EUREKA. She has also served in leadership roles for various technical committees and research groups across Europe.

Awards and Honors 🏅

Borka Džonova Jerman-Blazic has received numerous accolades for her contributions to research and technology. These include the Plaque of Appreciation from IFIP and ACM Tai branches for her contributions to internet technology (1984), the Boris Kidrič State Foundation Award for Research Achievements (1987), and the Medal of Merit from the President of Slovenia for her pioneering work in introducing and developing the Internet in Slovenia (2017). In 2021, she received the State Award for Lifetime Achievement in Science and Research from the Slovenian Ministry for Science and Education.

Research Focus 🔬

Her research interests focus on cybersecurity, digital forensic research, and economic modeling of information security risk management. She has been involved in various EU-funded projects and has made significant contributions to the development of secure internet infrastructures and the application of interactive technologies in cybersecurity education. Her work also explores overcoming the digital divide and enhancing digital skills for elderly adults.

Conclusion 🏁

Borka Džonova Jerman-Blazic is a highly respected figure in the fields of telecommunications, internet security, and digital infrastructure. Her extensive academic and professional background, combined with her leadership in EU and international research projects, has positioned her as a key player in shaping the future of digital networks. Her contributions to both research and education continue to influence the development of advanced internet technologies and cybersecurity solutions worldwide.

Publications 📖

Teaching and learning cybersecurity for European youth by applying interactive technology and smart educationERA Forum, 2020, 20(3), pp. 471–489 (Cited by 0)

Investigating crime in an interconnected society: will the new and updated EU judicial environment remove the barriers to justice?International Review of Law, Computers and Technology, 2020, 34(1), pp. 87–107 (Cited by 1)

A new legal framework for cross-border data collection in crime investigation amongst selected European countriesInternational Journal of Cyber Criminology, 2019, 13(2), pp. 270–289 (Cited by 2)

Advancement in Cybercrime Investigation – The New European Legal Instruments for Collecting Cross-border E-evidenceAdvances in Intelligent Systems and Computing, 2019, 918, pp. 858–867 (Cited by 2)

Eye tracking graphical passwordsAdvances in Intelligent Systems and Computing, 2018, 593, pp. 37–44 (Cited by 4)

New method for determination complexity using in AD HOC cloud computing2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 – Proceedings, 2017, pp. 188–191 (Cited by 1)

User bias in online trust systems: aligning the system designers’ intentions with the users’ expectationsBehaviour and Information Technology, 2017, 36(4), pp. 404–421 (Cited by 7)

Why That Picture? Discovering Password Properties in Recognition-Based Graphical AuthenticationInternational Journal of Human-Computer Interaction, 2016, 32(12), pp. 975–988 (Cited by 8)