Email: [email protected]
Department: Computer Engineering
Dr. Nashwan A. Othman is an Assistant Lecturer in the Computer Science Department at KNU. He joined KNU in 2019. Prior to that, he lectured at Duhok Polytechnic University - Duhok. He received his BSc degree in Computer Science from Salahaddin University in 2013, his MSc in Computer Engineering from Firat University, and his PhD in the same department and university in 2023. During his master's studies, he invented a system for detecting and recognizing faces in the Internet of Things for security applications. Furthermore, during his PhD thesis, Dr. Nashwan A. Othman focused on AI-powered UAV applications, specifically working on human action detection and recognition from captured frames. His areas of teaching expertise include Computer Programming, Logic Design, Computer Skills, Data Structures and Algorithm Analysis, Web Programming, Network Routing, and Mobile Applications.
Othman, N.A., Aydin, I. (2021). Challenges and limitations in human action recognition on unmanned aerial vehicles: A comprehensive survey. Traitement du Signal, Vol. 38, No. 5, pp. 1403-1411. https://doi.org/10.18280/ts.380515
N. A. Othman, M. Z. N. Al-Dabagh and I. AYDIN, "A New Embedded Surveillance System for Reducing COVID-19 Outbreak in Elderly Based on Deep Learning and IoT," 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 2020, pp. 1-6, doi: 10.1109/ICDABI51230.2020.9325651.
N. A. Othman, I. Aydin and M. Karakose, "An Efficient Embedded Security System for Reduce Car Accident to Build Safer World Based On IoT," 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 2019, pp. 1-5, doi: 10.1109/IDAP.2019.8875933.
N. A. Othman and I. Aydin, "A Smart School by Using an Embedded Deep Learning Approach for Preventing Fake Attendance," 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 2019, pp. 1-6, doi: 10.1109/IDAP.2019.8875883.
N. A. Othman and I. Aydin, "A face recognition method in the Internet of Things for security applications in smart homes and cities," 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), Istanbul, 2018, pp. 20-24, doi: 10.1109/SGCF.2018.8408934.
N. A. OTHMAN and I. AYDIN, "A New Deep Learning Application Based on Movidius NCS for Embedded Object Detection and Recognition," 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, 2018, pp. 1-5, doi: 10.1109/ISMSIT.2018.8567306.
N. A. OTHMAN, M. U. SALUR, M. KARAKOSE and I. AYDIN, "An Embedded Real-Time Object Detection and Measurement of its Size," 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), Malatya, Turkey, 2018, pp. 1-4, doi: 10.1109/IDAP.2018.8620812.
N. A. Othman and I. Aydin, "A new IoT combined body detection of people by using computer vision for security application," 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN), Girne, 2017, pp. 108-112, doi: 10.1109/CICN.2017.8319366.
I. Aydin and N. A. Othman, "A new IoT combined face detection of people by using computer vision for security application," 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, 2017, pp. 1-6, doi: 10.1109/IDAP.2017.8090171.
• Computer Vision.
• Embedded Systems.
• Artificial Intelligence.
• Internet of Things.
• Security Applications.
• Image Processing
• Deep Learnings
• Face Applications.
1. Computer Skills
2. Computer Programming
3. Logic Design
4. Data Structures and Algorithm Analysis
5. Mobile Application
6. Network Routing
7. Web Programming
8. Operating System
9. Computer Network
10. Computer Applications
Firat University, free PhD acceptance.