Dr. Ansari holds a PhD in the area of Recurrent Neural Networks from AMU, India. He is currently a Senior Lecturer in the University of Chester UK. Prior to this, he was an Associate Professor in Aligarh Muslim University, India, and did his post-doctoral research in the Technical University of the Shannon: Midlands Midwest, Ireland. His research interests are in neural networks and deep learning applications. He is the author of 2 books, and has published around 120 papers in reputed peer-reviewed international journals and conferences. He is a Senior Member of IEEE.
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Email
m.ansari@chester.ac.uk
About Dr Mohammad Samar Ansari
Dr. Ansari has
- a PhD in recurrent neural networks,
- teaching experience of approximately 15 years for undergraduate and post-graduate engineering courses
- 2.5 years of experience as a Post-Doctoral Researcher in the field of Artificial Intelligence for Cybersecurity in Ireland
- proven ability to secure grants/funding
- extensive research publication record as can be seen here:
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- Google Scholar: https://scholar.google.com/citations?hl=en&user=WYthhycAAAAJ
- ResearchGate: https://www.researchgate.net/profile/Samar-Ansari
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Teaching
Presently involved in the teaching and supervision in the following modules:
- SE7048 AI for Modern Use-Cases
- SE7227 Applied Business Intelligence for Managers
- SE7045 MSc Project
- SE7200 Research Dissertation
- SE7220 Risk Management
- SE5024 Electronic and Electrical Engineering Integrative Design Project
Research
For his Ph.D., Dr. Ansari worked on the design of high-performance neural network hardware for the solution of systems of simultaneous linear equations and other mathematical programming problems.
During his post-doctoral research, Dr. Ansari worked on the design of Deep Learning models for Cybersecurity Alert Prediction (which is a relatively less-explored area, as compared to attack detection). Presently, he is looking into Machine Learning / Deep Learning applications in Computer Vision, Video Processing, and Smart Cities. Privacy-preserving techniques for heterogenous user-centric data is another area in which he is currently interested. This interest has stemmed from his awareness of the need and importance GDPR/DPA regulations.
Published Work
Selected Publications:
- Mohammad Samar Ansari. “A single-layer asymmetric RNN with low hardware complexity for solving linear equations”. In: Neurocomputing 485 (2022), pp. 74–88.
- Mohammad Samar Ansari, Vaclav Bartos, and Brian Lee. “GRU-based deep learning approach for network intrusion alert prediction”. In: Future Generation Computer Systems (2021).
- Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Asghar, and Brian Lee. “A survey of modern deep learning based object detection models”. In: Digital Signal Processing 126 (2022), p. 103514.
- Saeed Hamood Alsamhi, Faris Almalki, Ou Ma, Mohammad Samar Ansari, and Brian Lee. “Predictive Estimation of Optimal Signal Strength from Drones over IoT Frameworks in Smart Cities”. In: IEEE Transactions on Mobile Computing (2021).
- Nadia Kanwal, Mamoona Naveed Asghar, Mohammad Samar Ansari, Martin Fleury, Brian Lee, Marco Herbst, and Yuansong Qiao. “Preserving chain-of-evidence in surveillance videos for authentication and trust-enabled sharing”. In: IEEE Access 8 (2020), pp. 153413–153424.
For a complete list of publications, please visit the Google Scholar profile here:
https://scholar.google.com/citations?hl=en&user=WYthhycAAAAJ&view_op=list_works&sortby=pubdate
Qualifications
- Bachelor of Technology (Electronics Engineering)
- Master of Technology (Electronics Engineering)
- Ph.D. (Electronics Engineering)