Assoc Prof Dr. Gebeyehu B Gebremeskel, Bahir Dar University, Ethiopia
Dr. Gebeyehu Belay Gebremeskel is an esteemed Associate Professor at Bahir Dar University, Ethiopia, specializing in Artificial Intelligence and Data Science. With over three decades of academic and research experience, he has significantly contributed to the fields of Machine Learning, Big Data Analytics, and Intelligent Systems. His academic journey includes a Ph.D. and Postdoctoral fellowship from Chongqing University, China, and an M.Sc. from London South Bank University, UK. Dr. Gebremeskel has published extensively, with over 35 academic papers, and has been instrumental in curriculum development and international conference organization.
Profile 👤
Scopus
Education 🎓
Dr. Gebremeskel’s academic journey began with a B.Sc. from Alemaya University, Ethiopia. He then earned an M.Sc. in Advanced Information Technology from London South Bank University, UK, focusing on system dynamics modeling and decision science. Pursuing further specialization, he obtained a Ph.D. in Engineering from Chongqing University, China, where his dissertation centered on integrating data mining algorithms and multi-agent systems with business intelligence. He also completed a postdoctoral fellowship at Chongqing University, emphasizing machine learning and intelligent system control.
Experience 💼
Dr. Gebremeskel has held various academic and administrative roles, including Associate Professor at Bahir Dar University. He has been instrumental in curriculum development, program accreditation, and organizing international conferences. His teaching portfolio spans undergraduate to postgraduate courses, covering topics like artificial intelligence, machine learning, data mining, and big data analytics. He has also supervised numerous master’s and Ph.D. students, contributing to the growth of research in his field
Research Interests 🔬
His research interests encompass artificial intelligence, machine learning, big data analytics, data mining, intelligent systems, and business intelligence. He focuses on developing algorithms and models that enhance decision-making processes, optimize system performance, and address real-world challenges in various domains, including healthcare, agriculture, and transportation.
Awards 🏆
Dr. Gebremeskel’s contributions have been recognized through various awards and honors. Notably, he has been acknowledged for his work in developing intelligent systems and enhancing data analytics methodologies. His research has had a significant impact on both academic and practical applications, earning him a reputable standing in the scientific community.
Publications 📚
Dr. Gebremeskel has an extensive list of publications in reputable journals and conferences. Some of his notable works include:
“Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling,” published in the International Journal of Data Science and Analytics, 2023.
“Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care,” published in the Journal of King Saud University – Computer and Information Sciences, 2022.
“Augmenting machine learning for Amharic speech recognition: a paradigm of patient’s lips motion detection,” published in Multimedia Tools and Applications, 2022.
“A critical analysis of the multi-focus image fusion using discrete wavelet transform and computer vision,” published in Soft Computing, 2022.
“Data mining misnomer nomenclature: myth or myopic based on its evolutional and trend analysis,” published in the International Journal of Knowledge Engineering and Data Mining, 2019.
“Combined data mining techniques based patient data outlier detection for healthcare safety,” published in the International Journal of Intelligent Computing and Cybernetics, 2016.
“Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques,” published in Industrial Management & Data Systems, 2015.