Education:
Mr. Hayelom Gebrye is currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), a program he commenced in September 2019. He holds a Master of Science degree in Information Technology from Aksum University, which he completed between January 2015 and March 2017. His foundational education includes a Bachelor of Science degree in Information Technology from Hawassa University, where he studied from October 2008 to July 2012. Additionally, he obtained his Secondary School Certificates from Tadagiwa, Ethiopia, between 2004 and 2008, and an Elementary School Certificate from Facha Elementary School from 1996 to 2004. This comprehensive educational journey has equipped Mr. Gebrye with a strong theoretical and practical understanding of information technology and computer science.
Professional Experience:
Mr. Hayelom Gebrye has extensive professional experience in academia and training, reflecting his commitment to education and community development. He served as a lecturer at Harambee University from September 2022 to April 2023, where he taught courses such as Fundamentals of Programming, Introduction to Emerging Technologies, and Research Methods in Computer Science. Additionally, he was a lecturer at Adama Science and Technology University (ASTU) and held part-time lecturer positions at various institutions, including Unity University and Raya University, covering subjects like System Simulation and Modeling. Mr. Gebrye has also contributed to community training programs with LIVE ADDIS, where he provided workshops on digital technology and effective communication for youth. His role as a Data Manager at TZG General Development Research involved leading data collection initiatives and ensuring data quality standards for research projects. This diverse experience underscores his expertise in teaching, training, and data management within the information technology field.
Research Interests:
Mr. Hayelom Gebrye is deeply passionate about advancing knowledge in the fields of machine learning, deep learning, and computer vision. His research interests also encompass network security and intrusion detection, where he seeks to develop innovative solutions to enhance security protocols in modern technological environments. Additionally, he is focused on expert systems and general information technology, aiming to explore the intersections of these areas to improve data analysis and decision-making processes. Mr. Gebrye has actively contributed to research initiatives, including his recent publication on traffic data extraction and labeling for machine learning-based attack detection in IoT networks, which reflects his commitment to addressing critical challenges in cybersecurity and emerging technologies.
Skills:
Mr. Hayelom Gebrye possesses a diverse skill set that underpins his expertise in information technology and computer science. He is proficient in several programming languages, including Python, C++, Java, and PHP, allowing him to develop innovative software solutions and applications. His strong background in database management is demonstrated through his proficiency with SQL Server 2012, as well as his experience in MYSQL server administration. Additionally, Mr. Gebrye has a solid foundation in networking, having managed LAN networks and supervised ICT systems in various roles. His analytical skills are further enhanced by his capabilities in qualitative and quantitative data analysis, visualization, and interpretation using tools such as Python and other software applications. Furthermore, he is skilled in training and mentoring, having conducted numerous workshops and training sessions aimed at empowering youth and enhancing their digital competencies.
Conclusion:
Mr. Hayelom Gebrye’s robust educational background, extensive teaching and training experience, active research contributions, and personal skills position him as an excellent candidate for the Best Researcher Award. His dedication to advancing knowledge in computer science, particularly in machine learning and network security, reflects his potential to make significant impacts in the field.
Publication Top Noted:
Computer vision-based distributed denial of service attack detection for resource-limited devices
- Authors: H. Gebrye, Y. Wang, F. Li
- Journal: Computers and Electrical Engineering
- Volume: 120, Article ID: 109716
- Year: 2024
Traffic data extraction and labeling for machine learning-based attack detection in IoT networks
- Authors: H. Gebrye, Y. Wang, F. Li
- Journal: International Journal of Machine Learning and Cybernetics
- Volume: 14, Issue 7, Pages 2317-2332
- Year: 2023
- Citations: 11
Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Blockchain-Based Multi-UAV-Enabled Mobile Edge Computing
- Authors: A. Mohammed, H. Nahom, A. Tewodros, Y. Habtamu, G. Hayelom
- Conference: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
- Pages: 295-299
- Year: 2020
- Citations: 28