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Professur Mess- und Sensortechnik
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Professur Mess- und Sensortechnik 
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Mahdi Mnif
Telefon: 38523
Raum: Reichenhainer Straße 70, Weinholdbau: W283
E-Mail:

Expertise

  • Edge Computing Analytics
  • Tiny Machine Learning (TinyML) for Resource-Constrained Devices
  • Embedded Systems

Research interest

  • Optimizing Edge Computing Workloads
  • Energy-Efficient TinyML Models
  • Edge Analytics for IoT Applications
  • Real-Time Analytics on Edge Devices
  • Human-Machine Interaction at the Edge
  • Security and Privacy in Edge Analytics
  • Edge-to-Cloud Integration
Publikationen: 6

2025

Hybrid Solution Through Systematic Electrical Impedance Tomography Data Reduction and CNN Compression for Efficient Hand Gesture Recognition on Resource-Constrained IoT Devices
Autoren: Sahnoun, S.; Mnif, M.; Ghoul, B.; Jemal, M.; Fakhfakh, A.; Kanoun, O.
Quelle: In: Future Internet. - MDPI. - 17. 2025, 2, 89
| DOI: 10.3390/fi17020089
Erscheinungsjahr: 2025
ISBN/ ISSN: 1999-5903 (Online)

2024

Comparative Analysis of Embedded AI Techniques for Bovine Meat Monitoring
Autoren: Narale, V. S.; Stein, S.; Denisov, N.; Kallel, A. Y.; Mnif, M.; Guermazi, M.; Kanoun, O.
Quelle: 2024 International Workshop on Impedance Spectroscopy (IWIS), Chemnitz, 24-27 September 2024, pp. 17-21. - IEEE, 2024
| DOI: 10.1109/iwis63047.2024.10847102
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISBN: 979-8-3315-0762-6 ; Print on Demand(PoD) ISBN: 979-8-3315-0763-3
Exploring Model Compression Techniques for Efficient 1D CNN-Based Hand Gesture Recognition on Resource-Constrained Edge Devices
Autoren: Mnif, M.; Sahnoun, S.; Djemaa, M.; Fakhfakh, A.; Kanoun, O.
Quelle: 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), 11-13 July 2024, Sousse, Tunisia. - IEEE, 2024
| DOI: 10.1109/atsip62566.2024.10638925
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISBN: 979-8-3503-5148-4 ; Print on Demand(PoD) ISBN: 979-8-3503-5149-1 ; Electronic ISSN: 2687-878X ; Print on Demand(PoD) ISSN: 2641-5941
Ultra-Fast Edge Computing Approach for Hand Gesture Classification Based on EIT Measurements
Autoren: Mnif, M.; Sahnoun, S.; Kaaniche, M.; Atitallah, B. B.; Fakhfakh, A.; Kanoun, O.
Quelle: 2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE), 20.-21. Juni 2024, Chemnitz, 1-6. - IEEE, 2024. - IEEE, 2024
| DOI: 10.1109/rose62198.2024.10591116
Erscheinungsjahr: 2024
ISBN/ ISSN: Electronic ISBN:979-8-3503-6236-7 ; Print on Demand(PoD) ISBN:979-8-3503-6237-4
Combinative model compression approach for enhancing 1D CNN efficiency for EIT-based Hand Gesture Recognition on IoT edge devices
Autoren: Mnif, M.; Sahnoun, S.; Saad, Y. B.; Fakhfakh, A.; Kanoun, O.
Quelle: In: Internet of Things. - Elsevier BV. - Volume 28. 2024, 101403
| DOI: 10.1016/j.iot.2024.101403
Erscheinungsjahr: 2024
ISBN/ ISSN: Online ISSN: 2542-6605 ; Print ISSN: 2543-1536

2022

Design of a Wearable Multi-Sensor Node for Human Movement Identification based on RSSI Measurements
Autoren: Mnif, M.; Ben Atitallah, B.; El Houssaini, D.; Sahnoun, S.; Fakhfakh, A.; Kanoun, O.
Quelle: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), 06-10 Mai 2022, Djelfa, Algeria, pp. 857-863. - IEEE, 2022
| DOI: 10.1109/ssd54932.2022.9955978
Erscheinungsjahr: 2022
ISBN/ ISSN: Electronic ISBN:978-1-6654-7108-4 ; USB ISBN:978-1-6654-7107-7 Print on Demand(PoD) ISBN:978-1-6654-7109-1 ; Electronic ISSN: 2474-0446 Print on Demand(PoD) ISSN: 2474-0438
Journal Articles (peer-reviewed):2
Conference Papers (peer-reviewed):4