About Me
I am a PhD researcher at RWTH Aachen University and Forschungszentrum Jülich, Germany. I received my M.Eng. in AI Software from Gachon University, South Korea, and my B.Sc. in Computer Science from Daffodil International University, Bangladesh. My research focuses on neuromorphic vision, object detection, hybrid SNN-ANN systems, and transformer-based learning techniques.
Research Interests
- Neuromorphic Computer Vision
- Hybrid SNN-ANN Architectures
- Event-based Cameras
- Object Detection & 3D Perception
- Transformers and Attention Mechanisms
- Self-supervised & Unsupervised Learning
Selected Publications
🔥 New: Accepted at CVPR 2025 — "Efficient event-based object detection: A hybrid neural network with spatial and temporal attention"
- Ahmed, S.H., Jang, H.W., Nadim, U.S.M., & Jung, Y.J. (2021) – Deep event stereo leveraged by event-to-image translation. Proceedings of the AAAI Conference on Artificial Intelligence, 35(2), 882–890.
- Uddin, S.N., Ahmed, S.H., & Jung, Y.J. (2022) – Unsupervised deep event stereo for depth estimation. IEEE Transactions on Circuits and Systems for Video Technology, 32(11), 7489–7504.
- Ahmed, S.H., Faisal, F., Sabrin, S., Tong, Z., Hasan, M., Debnath, D., Hossain, M.S., Siddique, A.H., & Alam, J. (2020) – A Simplified Approach to Develop Low-Cost Semi-Automated Prototype of a Wheelchair. University of Science and Technology Annual (USTA).
- Yik, Jason; Van den Berghe, Korneel; den Blanken, Douwe; Bouhadjar, Younes; Fabre, Maxime; Hueber, Paul; Ke,Ahmed, S.H., Weijie; Khoei, Mina A; Kleyko, Denis; Pacik-Nelson, Noah; (2025) – The neurobench framework for benchmarking neuromorphic computing algorithms and systems.
Contact
Email: s.ahmed@fz-juelich.de
Phone: +49 178 3067190
Location: Aachen, Germany
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