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Professur Mess- und Sensortechnik
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Professur Mess- und Sensortechnik 
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Mahdi Mnif
Telefon:
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

1 Publication
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

2024

4 Publications
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

2022

1 Publication
Journal Articles (peer-reviewed):2
Conference Papers (peer-reviewed):4