Dr. Ardalan Awlla, Cihan University Sulaimaniya, Iraq
Dr. Ardalan Awlla is a dedicated computer science educator and researcher, currently pursuing his Ph.D. at Sulaimani Polytechnic University. With a Master’s in Computer Science from Nanjing University of Information Science and Technology (NUIST), where he earned the Outstanding International Graduate Student and Academic Excellence awards, Dr. Awlla has built a strong academic foundation. He has taught a wide range of subjects, including Software Engineering, System Integration, Game Programming, and Data Structures, as a faculty member at institutions such as the University of Human Development and Qaiwan International University. His research focuses on network and information security, machine learning, and big data, reflecting his commitment to advancing technology and education in the region.
Professional Profile:
Suitability for the Award:
Dr. Awlla’s focus on network security and machine learning applications demonstrates a commitment to solving critical technological issues that have both academic and practical significance. His achievements, particularly in botnet detection research, position him as an asset to the cybersecurity field. Additionally, his contributions to academic excellence in teaching core computer science subjects strengthen his candidacy, as he shapes the next generation of computer scientists with knowledge in current, high-demand areas.
Education & Expertise:
Dr. Taku Ito holds a Doctor of Medicine degree from Tokyo Medical and Dental University, where he has developed extensive expertise in Otorhinolaryngology (ENT) and Cognitive-Behavioral Medicine applications in ENT care.
Professional Roles:
Currently serving as an Associate Professor in the Department of Otorhinolaryngology at Tokyo Medical and Dental University, Dr. Ito has previously held positions as an Assistant Professor and Visiting Lecturer in the same department, demonstrating his commitment to advancing ENT medicine and education.
Research Interests & Innovations:
His research focuses on clinical and surgical innovations in otolaryngology, improved imaging and diagnostic techniques, and the integration of cognitive-behavioral medicine within ENT. His work has driven forward critical improvements in surgical outcomes and diagnostic accuracy.
Achievements & Recognition:
With over 20 publications in peer-reviewed journals, numerous presentations at global conferences, and several research grants, Dr. Ito is a recognized leader in his field. He has also developed clinical protocols that significantly enhance patient outcomes in ENT surgeries.
Publications Top Notes:
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Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques
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Botnet detection based on genetic neural network
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Prediction of CoVid-19 mortality in Iraq-Kurdistan by using Machine learning
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Secure device to device communication for 5G network based on improved AES
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A Hybrid Simulated Annealing and Back-propagation Algorithm for Feed-forward Neural Network to Detect Credit Card Fraud