FINN-Tro: Exploiting Verification Gaps in Dataflow Inference Accelerators
Q.A. Ahmed, S. Karki, T. Jungeblut, in: arXiv, 2026.

No Attention, No Problem: DPU-Aware Attention Approximation in Modern YOLO on FPGA
S. Karki, Q.A. Ahmed, T. Jungeblut, No Attention, No Problem: DPU-Aware Attention Approximation in Modern YOLO on FPGA, 2026.

PMOF: A Dataset and Benchmark for Passenger Monitoring Using Overhead Fisheye Cameras
S. Wermuth, Q.A. Ahmed, K. Neumann, T. Jungeblut, in: Arxiv, 2026.

Reliability Assessment in Approximate Accelerator Synthesis
S. Sadeghi-Kohan, M. Awais, Q.A. Ahmed, M. Platzner, S. Hellebrand, T. Jungeblut, H.-J. Wunderlich, in: IEEE (Ed.), 2026 IEEE 29th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), IEEE, 2026, pp. 1–5.

Bridging the Gap Between AI Quantization and Edge Deployment: IN and IN on the Edge
M.I. Köse, Q.A. Ahmed, T. Jungeblut, in: NeurIPS 2025  (Ed.), The 5th Muslims in Machine Learning (MusIML) Workshop Co-Located with NeurIPS 2025, San Diego, CA, USA., 2025.

Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators
F. Jalil, M. Awais, Q.A. Ahmed, H.G. Mohammadi, T. Jungeblut, M. Platzner, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE, 2025, pp. 115–118.

Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements
J. Leuering, F. Jalil, Q.A. Ahmed, W. Schenck, T. Jungeblut, in: Institute for Data Science Solutions, Bielefeld, n.d.

NNXC: Neural Network Meets Approximate Computing
F. Jalil, J. Leuering, Q.A. Ahmed, W. Schenck, T. Jungeblut, in:  Institute for Data Science Solutions, Bielefeld, 2025.

AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications
F. Jalil, J. Leuering, Q.A. Ahmed, W. Schenck, T. Jungeblut, in: Workshop on AI and Its Applications, Institute for Data Science Solutions, Bielefeld, 2025.

From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation
S. Wermuth, Q.A. Ahmed, T. Jungeblut, in: Workshop on AI and Its Applications, Institute for Data Science Solutions, Bielefeld, 2025.

Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices
M.I. Köse, Q.A. Ahmed, T. Jungeblut, in: Institute for Data Science Solutions, Bielefeld, 2025.

DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis
H. Attaullah, S. Sanaullah, A. Peters, Q.A. Ahmed, J. Baudisch, T. Jungeblut, Frontiers in Neuroscience 19 (2025).

MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications
Q.A. Ahmed, D.M. Mughal, D. Munir, H.D. Schotten, T. Jungeblut, S.-H. Kim, M.Y. Chung, in: arXiv, 2025.

Post-configuration Activation of Hardware Trojans in FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, Journal of Hardware and Systems Security 8 (2024) 79–93.

RelaX: Reliability Assessment in Approximate Circuits
Q.A. Ahmed, S. Sadeghi-Kohan, M. Awais, M. Platzner, S. Hellebrand, T. Jungeblut, H.-J. Wunderlich, in: 2024.

Improved Learning-Based Design Space Exploration for Approximate Instance Generation
M.A. Rajput, S. Alyami, Q.A. Ahmed, H. Alshahrani, Y. Asiri, A. Shaikh, IEEE Access 11 (2023) 18291–18299.

Ensemble learning approach for advanced metering infrastructure in future smart grids
M. Irfan, N. Ayub, F. Althobiani, S. Masood, Q.A. Ahmed, M.H. Saeed, S. Rahman, H. Abdushkour, M.E. Gommosani, V.R. Shamji, S.N. Faraj Mursal, PLOS ONE 18 (2023).

MAAS: Hiding Trojans in Approximate Circuits
Q.A. Ahmed, M. Awais, M. Platzner, in: IEEE (Ed.), 2023 24th International Symposium on Quality Electronic Design (ISQED), IEEE, 2023, pp. 1–6.

AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm
M. Irfan, N. Ayub, Q.A. Ahmed, S. Rahman, M.S. Bashir, G. Nowakowski, S.M. Alqhtani, M. Sieja, Electronics 12 (2023).

On the Detection and Circumvention of Bitstream-level Trojans in FPGAs
Q.A. Ahmed, M. Platzner, in: IEEE (Ed.), 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), IEEE, 2022, pp. 434–439.