Sachin Karmuse | Image Processing | Best Researcher Award

Dr. Sachin Karmuse | Image Processing | Best Researcher Award

Assistant Professor at DKTE’s Textile & Engineering Institute | India

Dr. Sachin Mohan Karmuse is an accomplished academic and researcher in the field of Electronics and Telecommunication Engineering with nearly two decades of teaching and research experience. He currently serves as an Assistant Professor at DKTE Society’s Textile and Engineering Institute, Ichalkaranji, where he has been actively engaged in teaching, research, and academic development. He earned his Ph.D. in Electronics Engineering from Visvesvaraya Technological University with a thesis on an improved system for heart rate monitoring using webcam-based analysis. His research interests include image processing, embedded systems, database engineering, artificial intelligence, and machine learning, supported by strong expertise in programming languages such as C, C++, Python, Java, and ASP.net, as well as software tools like Matlab, OrCAD, Proteus, and Xilinx. Dr. Karmuse has published 22 research papers in reputed journals and conferences, contributing significantly to the advancement of knowledge in his domain. His research impact is reflected in 15 citations by 15 documents, 7 indexed documents, and an h-index of 2. In addition to his research contributions, he is a life member of the Indian Society for Technical Education and has served as a Board of Studies member in his department. His academic profile reflects dedication to innovative teaching, applied research, and advancing technology in healthcare and intelligent systems.

Profile: Scopus

Featured Publications

(2025). A robust rPPG approach for continuous heart rate measurement based on face. Journal of the Institution of Engineers (India): Series B. Advance online publication.

Hayelom Gebrye | Computer Vision | Best Researcher Award

Mr. Hayelom Gebrye | Computer Vision | Best Researcher Award

Ph.D. student of UESTC, China, Ethiopia

Hayelom Muleta Gebrye is a dedicated researcher and educator specializing in computer science and information technology. He is currently pursuing his Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), where his research focuses on machine learning, deep learning, computer vision, and network security, particularly in the context of IoT and cybersecurity. He holds an MSc in Information Technology from Aksum University and a BSc in Information Technology from Hawassa University.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Hayelom Muleta Gebrye is currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), which he commenced in September 2019. He holds a Master’s degree in Information Technology from Aksum University (2015-2017) and a Bachelor’s degree in Information Technology from Hawassa University (2008-2012). Additionally, he completed his Secondary School Certificate at Tadagiwa Ethiopia in 2008.

💼 Professional Experience :

Hayelom has a robust teaching and training background in computer science and technology. He served as a lecturer at several institutions, including Harambee University, where he taught courses such as Fundamentals of Programming I, Web Programming, and Research Methods in Computer Science (Sep 2022 – Apr 2023), and Adama Science and Technology University, focusing on Data Structures and Algorithms (Jul 2022 – Jun 2023). He has also provided training on digital technology and effective social media management through the local NGO LIVE ADDIS. In addition to his academic roles, he has practical experience as a Data Manager for TZG General Development Research, leading data collection efforts and ensuring data quality standards. Previously, he worked in various capacities at Raya University, including Quality Assurance Coordinator and Assistant Registrar, where he was instrumental in enhancing educational quality and managing student records. His earlier role as the Head of IT at Jigjiga University involved overseeing the IT department, lecturing on advanced programming and system simulation, and mentoring students.

📚 Research Interests : 

Hayelom’s research interests encompass machine learning, deep learning, computer vision, network security, and intrusion detection systems. He has contributed to several research projects, including studies on traffic data extraction for attack detection in IoT networks and deep reinforcement learning for resource allocation in blockchain-based computing. His published work includes articles in prestigious journals, demonstrating his commitment to advancing knowledge in the fields of cybersecurity and machine learning.

📝 Publication Top Notes :

  1. Gebrye, H., Wang, Y., & Li, F. (2023). Traffic data extraction and labeling for machine learning-based attack detection in IoT networks. International Journal of Machine Learning & Cybernetics, 14, 2317–2332. https://doi.org/10.1007/s13042-022-01765-7. (Impact Factor: 5.6)
  2. Mohammed, A., Nahom, H., Tewodros, A., Habtamu, Y., & Gebrye, H. (2020). Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Blockchain-Based Multi-UAV-Enabled Mobile Edge Computing. In 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 295-299). Chengdu, China. doi: 10.1109/ICCWAMTIP51612.2020.9317445.
  3. Gebrye, H., Wang, Y., & Li, F. (In Progress). Computer Vision based DDoS Attack Detection for resource-limited devices. Computers and Electrical Engineering. (Status: 1st Revision)
  4. Gebrye, H., Wang, Y., & Li, F. (Under Review). Undersampling and IGFS-GIWRF Boosting Machine Learning Models for IoT Botnet Detection using Unbalanced Dataset. International Journal of Machine Learning and Cybernetics. (Status: Under Review)