PUBLIKATIONSSERVER

Qazi Arbab Ahmed

Fachbereich Ingenieurwissenschaften und Mathematik
https://orcid.org/0000-0002-1837-2254

20 Publikationen

Alle markieren

[20]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
Köse, M. I., Ahmed, Q. A., & Jungeblut, T. (2025). Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge. In NeurIPS 2025 (Ed.), The 5th Muslims in Machine Learning (MusIML) Workshop co-located with NeurIPS 2025. San Diego, CA, USA.
HSBI-PUB | Download (ext.)
 
[19]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, H., Sanaullah, S., Peters, A., Ahmed, Q. A., Baudisch, J., & Jungeblut, T. (2025). DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. Frontiers in Neuroscience, 19. https://doi.org/10.3389/fnins.2025.1617758
HSBI-PUB | DOI
 
[18]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
Jalil, F., Awais, M., Ahmed, Q. A., Mohammadi, H. G., Jungeblut, T., & Platzner, M. (2025). Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators. In Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 115–118). Naples, Italy : IEEE. https://doi.org/10.1109/DSN-W65791.2025.00048
HSBI-PUB | DOI | Download (ext.)
 
[17]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, F., Leuering, J., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (2025). NNXC: Neural Network Meets Approximate Computing. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[16]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
Wermuth, S., Ahmed, Q. A., & Jungeblut, T. (2025). From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation. In Workshop on AI and its Applications. Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[15]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Ahmed, Q. A., Mughal, D. M., Munir, D., Schotten, H. D., Jungeblut, T., Kim, S.-H., & Chung, M. Y. (2025). MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications. Presented at the IEEE CSCN 2025, Bologna Italy: arXiv. https://doi.org/10.48550/ARXIV.2508.06340
HSBI-PUB | DOI
 
[14]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
Köse, M. I., Ahmed, Q. A., & Jungeblut, T. (2025). Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | DOI
 
[13]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, F., Leuering, J., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (2025). AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications. In Workshop on AI and its Applications. Bielefeld: Institute for Data Science Solutions. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | DOI
 
[12]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, J., Jalil, F., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (n.d.). Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[11]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Ahmed, Q. A., Sadeghi-Kohan, S., Awais, M., Platzner, M., Hellebrand, S., Jungeblut, T., & Wunderlich, H.-J. (2024). RelaX: Reliability Assessment in Approximate Circuits. Presented at the The 9th Workshop on Approximate Computing, 2024 ACM/IEEE International Conference on Computer-Aided Design, New Jersey, USA.
HSBI-PUB | Dateien verfügbar | Download (ext.)
 
[10]
2024 | Artikel | FH-PUB-ID: 5051
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2024). Post-configuration Activation of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security, 8(2), 79–93. https://doi.org/10.1007/s41635-024-00147-5
HSBI-PUB | DOI
 
[9]
2023 | Artikel | FH-PUB-ID: 5052
Irfan, M., Ayub, N., Althobiani, F., Masood, S., Ahmed, Q. A., Saeed, M. H., … Faraj Mursal, S. N. (2023). Ensemble learning approach for advanced metering infrastructure in future smart grids. PLOS ONE, 18(10). https://doi.org/10.1371/journal.pone.0289672
HSBI-PUB | DOI
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 5053
Ahmed, Q. A., Awais, M., & Platzner, M. (2023). MAAS: Hiding Trojans in Approximate Circuits. In IEEE (Ed.), 2023 24th International Symposium on Quality Electronic Design (ISQED) (pp. 1–6). San Francisco, CA, USA: IEEE. https://doi.org/10.1109/ISQED57927.2023.10129286
HSBI-PUB | DOI
 
[7]
2023 | Artikel | FH-PUB-ID: 5054 | OA
Rajput, M. A., Alyami, S., Ahmed, Q. A., Alshahrani, H., Asiri, Y., & Shaikh, A. (2023). Improved Learning-Based Design Space Exploration for Approximate Instance Generation. IEEE Access, 11, 18291–18299. https://doi.org/10.1109/ACCESS.2023.3247303
HSBI-PUB | DOI | Download (ext.)
 
[6]
2023 | Artikel | FH-PUB-ID: 5055
Irfan, M., Ayub, N., Ahmed, Q. A., Rahman, S., Bashir, M. S., Nowakowski, G., … Sieja, M. (2023). AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm. Electronics, 12(6). https://doi.org/10.3390/electronics12061298
HSBI-PUB | DOI
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 5056
Ahmed, Q. A., & Platzner, M. (2022). On the Detection and Circumvention of Bitstream-level Trojans in FPGAs. In IEEE (Ed.), 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 434–439). Nicosia, Cyprus: IEEE. https://doi.org/10.1109/ISVLSI54635.2022.00097
HSBI-PUB | DOI
 
[4]
2021 | Konferenzbeitrag | FH-PUB-ID: 5058
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2021). Malicious Routing: Circumventing Bitstream-level Verification for FPGAs. In IEEE (Ed.), 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1490–1495). Grenoble, France: IEEE. https://doi.org/10.23919/DATE51398.2021.9474026
HSBI-PUB | DOI
 
[3]
2021 | Konferenzbeitrag | FH-PUB-ID: 5057
Ahmed, Q. A. (2021). Hardware Trojans in Reconfigurable Computing. In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 1–2). Singapore, Singapore: IEEE. https://doi.org/10.1109/VLSI-SoC53125.2021.9606974
HSBI-PUB | DOI
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 5059
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2019). Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan. In C. Hochberger, B. Nelson, A. Koch, R. Woods, & P. Diniz (Eds.), Applied Reconfigurable Computing. 15th International Symposium, ARC 2019, Darmstadt, Germany, April 9–11, 2019, Proceedings (pp. 127–136). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-17227-5_10
HSBI-PUB | DOI
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 5060
Ali, S. W., Ahmed, Q. A., & Shafi, I. (2018). Process to enhance the quality of software requirement specification document. In IEEE (Ed.), 2018 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1–7). Lahore, Pakistan : IEEE. https://doi.org/10.1109/ICEET1.2018.8338619
HSBI-PUB | DOI
 
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Publikationen filtern

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20 Publikationen

Alle markieren

[20]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
Köse, M. I., Ahmed, Q. A., & Jungeblut, T. (2025). Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge. In NeurIPS 2025 (Ed.), The 5th Muslims in Machine Learning (MusIML) Workshop co-located with NeurIPS 2025. San Diego, CA, USA.
HSBI-PUB | Download (ext.)
 
[19]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, H., Sanaullah, S., Peters, A., Ahmed, Q. A., Baudisch, J., & Jungeblut, T. (2025). DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. Frontiers in Neuroscience, 19. https://doi.org/10.3389/fnins.2025.1617758
HSBI-PUB | DOI
 
[18]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
Jalil, F., Awais, M., Ahmed, Q. A., Mohammadi, H. G., Jungeblut, T., & Platzner, M. (2025). Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators. In Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 115–118). Naples, Italy : IEEE. https://doi.org/10.1109/DSN-W65791.2025.00048
HSBI-PUB | DOI | Download (ext.)
 
[17]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, F., Leuering, J., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (2025). NNXC: Neural Network Meets Approximate Computing. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[16]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
Wermuth, S., Ahmed, Q. A., & Jungeblut, T. (2025). From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation. In Workshop on AI and its Applications. Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[15]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Ahmed, Q. A., Mughal, D. M., Munir, D., Schotten, H. D., Jungeblut, T., Kim, S.-H., & Chung, M. Y. (2025). MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications. Presented at the IEEE CSCN 2025, Bologna Italy: arXiv. https://doi.org/10.48550/ARXIV.2508.06340
HSBI-PUB | DOI
 
[14]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
Köse, M. I., Ahmed, Q. A., & Jungeblut, T. (2025). Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | DOI
 
[13]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, F., Leuering, J., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (2025). AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications. In Workshop on AI and its Applications. Bielefeld: Institute for Data Science Solutions. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB | DOI
 
[12]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, J., Jalil, F., Ahmed, Q. A., Schenck, W., & Jungeblut, T. (n.d.). Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. Presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld: Institute for Data Science Solutions.
HSBI-PUB
 
[11]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Ahmed, Q. A., Sadeghi-Kohan, S., Awais, M., Platzner, M., Hellebrand, S., Jungeblut, T., & Wunderlich, H.-J. (2024). RelaX: Reliability Assessment in Approximate Circuits. Presented at the The 9th Workshop on Approximate Computing, 2024 ACM/IEEE International Conference on Computer-Aided Design, New Jersey, USA.
HSBI-PUB | Dateien verfügbar | Download (ext.)
 
[10]
2024 | Artikel | FH-PUB-ID: 5051
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2024). Post-configuration Activation of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security, 8(2), 79–93. https://doi.org/10.1007/s41635-024-00147-5
HSBI-PUB | DOI
 
[9]
2023 | Artikel | FH-PUB-ID: 5052
Irfan, M., Ayub, N., Althobiani, F., Masood, S., Ahmed, Q. A., Saeed, M. H., … Faraj Mursal, S. N. (2023). Ensemble learning approach for advanced metering infrastructure in future smart grids. PLOS ONE, 18(10). https://doi.org/10.1371/journal.pone.0289672
HSBI-PUB | DOI
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 5053
Ahmed, Q. A., Awais, M., & Platzner, M. (2023). MAAS: Hiding Trojans in Approximate Circuits. In IEEE (Ed.), 2023 24th International Symposium on Quality Electronic Design (ISQED) (pp. 1–6). San Francisco, CA, USA: IEEE. https://doi.org/10.1109/ISQED57927.2023.10129286
HSBI-PUB | DOI
 
[7]
2023 | Artikel | FH-PUB-ID: 5054 | OA
Rajput, M. A., Alyami, S., Ahmed, Q. A., Alshahrani, H., Asiri, Y., & Shaikh, A. (2023). Improved Learning-Based Design Space Exploration for Approximate Instance Generation. IEEE Access, 11, 18291–18299. https://doi.org/10.1109/ACCESS.2023.3247303
HSBI-PUB | DOI | Download (ext.)
 
[6]
2023 | Artikel | FH-PUB-ID: 5055
Irfan, M., Ayub, N., Ahmed, Q. A., Rahman, S., Bashir, M. S., Nowakowski, G., … Sieja, M. (2023). AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm. Electronics, 12(6). https://doi.org/10.3390/electronics12061298
HSBI-PUB | DOI
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 5056
Ahmed, Q. A., & Platzner, M. (2022). On the Detection and Circumvention of Bitstream-level Trojans in FPGAs. In IEEE (Ed.), 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 434–439). Nicosia, Cyprus: IEEE. https://doi.org/10.1109/ISVLSI54635.2022.00097
HSBI-PUB | DOI
 
[4]
2021 | Konferenzbeitrag | FH-PUB-ID: 5058
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2021). Malicious Routing: Circumventing Bitstream-level Verification for FPGAs. In IEEE (Ed.), 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1490–1495). Grenoble, France: IEEE. https://doi.org/10.23919/DATE51398.2021.9474026
HSBI-PUB | DOI
 
[3]
2021 | Konferenzbeitrag | FH-PUB-ID: 5057
Ahmed, Q. A. (2021). Hardware Trojans in Reconfigurable Computing. In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 1–2). Singapore, Singapore: IEEE. https://doi.org/10.1109/VLSI-SoC53125.2021.9606974
HSBI-PUB | DOI
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 5059
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2019). Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan. In C. Hochberger, B. Nelson, A. Koch, R. Woods, & P. Diniz (Eds.), Applied Reconfigurable Computing. 15th International Symposium, ARC 2019, Darmstadt, Germany, April 9–11, 2019, Proceedings (pp. 127–136). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-17227-5_10
HSBI-PUB | DOI
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 5060
Ali, S. W., Ahmed, Q. A., & Shafi, I. (2018). Process to enhance the quality of software requirement specification document. In IEEE (Ed.), 2018 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1–7). Lahore, Pakistan : IEEE. https://doi.org/10.1109/ICEET1.2018.8338619
HSBI-PUB | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: APA

Export / Einbettung