Dilovan Asaad Majeed
Assistant Prof.
Lecturer – Department of Computer Science, Nawroz University
Computer Vision
College of Science
Department of Computer Science
- Email address
- [email protected]
- Phone Number
- +9647504526768
Biography
DILOVAN ASAAD MAJEED is an Assistant Professor with the College of Informatics, department of IT at the Akre University for Applied Science and the College of Science, department of computer science at the Nawroz University in Iraq. He received his Ph.D. from Universiti Teknologi Malaysia (UTM), Malaysia. He has expertise in machine learning, deep learning, computer vision, medical image analysis, data security and the Internet of Things (IoT). His research interests are in the design of intelligent and secure computational techniques for addressing real-life problems in healthcare, cyber security and smart systems. Dr. Dilovan has published around 90 scientific papers, most of which are published in well-known journals indexed in Clarivate Web of Science and Scopus. He teaches various undergraduate and postgraduate courses: Data Structures, Algorithms, Data Security, Digital Multimedia, Image Processing, Web Technologies, Web Development, Machine Learning and Artificial Intelligence. He is actively involved in the academic community as a reviewer for several international publishers and journals such as IEEE Access, MDPI, Elsevier, Wiley, Springer, and Tech Science Press. He has attended various national and international conferences and has ongoing research partnerships with researchers and institutions in several countries, helping to foster interdisciplinary research and international collaboration.
- 2020 PhD in Computer Science, College of Computer Science, Universiti Teknologi Malaysia (UTM), Malaysia
- 2013 MSc in Computer Information Systems, College of Computer Science, Near East University, Cyprus
- 2011 BSc in Computer Science, College of Computer Science, University of Duhok, Duhok, Kurdistan Region,Iraq
- • Practical Finite Element Analysis Workshop (2020)
- • AI in Robotics for Healthcare + Python Workshop (2019)
- • Literature Review & Viva Preparation Workshop (2018)
- • Machine Learning
- • Deep Learning
- • Computer Vision
- • Medical Image Analysis
- • Data Security
- • Internet of Things (IoT)
- • Ensemble Deep Learning Model for Pneumonia Detection
- • Hybrid Transformer–CNN for Night Vision Object Detection