Academic Profile of a Teaching Staff at Knowledge University
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Nashwan A. OTHMAN
Mr. Nashwan A. Othman is an assistant lecturer in the Computer Sciences Department at KNU. He joined KNU in 2019. Before that, he was lecturing at Duhok Polytechnic University - Duhok. He received his BSc degree in computer sciences from Salahaddin University in 2013, his MSc. in Computer Engineerin from the Firat University, Turkey in 2018. He is currently a PhD student in Computer Engineering department at the Firat University in Turkey. During his master's study, he invented the detection and recognition of faces in the internet of things for security applications. His areas of teaching are Computer Programming, Logic Design, Data Structures and Algorithm Analysis, Web Programming, Network Routing, Mobile Application, Software Engineering, and Internet of Things.
Contact:
Full Name: Nashwan A. OTHMAN
Academic Rank: Assistant Lecturer
Qualification: MSc. in Computer Engineering
Department: Computer Engineering
Mobile phone: (+964) - (0) 750 0000000
ORCID: 0000-0002-1487-912X
Google Scholar Link: https://scholar.google.com/citations?hl=en&user=wQer_wUAAAAJ
E-mail: nashwan.adnan@knu.edu.iq
PF&CAD link: click here
Teaching:
Digital System Design, 2nd Semester, Department of Computer Science
Data Structure & Algorithms, 4th Semester, Department of Computer Science
Web Programming, 6th Semester, Department of Computer Science
Mobile Application, 8th Semester, Department of Computer Science
Selected Publications ... Click to see the ORCID-based CV
Conference Papers
A face recognition method in the Internet of Things for security applications in smart homes and cities Proceedings - 2018 6th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2018
2018 | conference-paper
DOI: 10.1109/SGCF.2018.8408934
A new IoT combined face detection of people by using computer vision for security applicationIDAP 2017 - International Artificial Intelligence and Data Processing Symposium
2017 | conference-paper
DOI: 10.1109/IDAP.2017.8090171
A new IoT combined body detection of people by using computer vision for security application Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017
2018 | conference-paper
DOI: 10.1109/CICN.2017.8319366
A New Deep Learning Application Based on Movidius NCS for Embedded Object Detection and RecognitionISMSIT 2018 - 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
2018 | conference-paper
DOI: 10.1109/ISMSIT.2018.8567306
An Embedded Real-Time Object Detection and Measurement of its Size2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018
2019 | conference-paper
DOI: 10.1109/IDAP.2018.8620812
An Efficient Embedded Security System for Reduce Car Accident to Build Safer World Based on IoT2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
2019 | conference-paper
DOI: 10.1109/IDAP.2019.8875933
EID: 2-s2.0-85074886695
Smart School by Using an Embedded Deep Learning Approach for Preventing Fake Attendance2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
2019 | conference-paper
DOI: 10.1109/IDAP.2019.8875883
EID: 2-s2.0-85074884735
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.
Portfolio and Continuous Academic Development