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ALI POUR Amir

PhD candidate at University of Grenoble Alps

Coordonnées

50, rue Barthelemy de Laffemas CS10054 26902 VALENCE Cedex 09 France

  • Tél. : +33783799612

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I teach these labs at Grenoble INP Esisar:
- System on Chips
- Hardware Security and Correlation Power Analysis on AES
- Real Time System Simulation
- Advanced Comptuer Architecture programming with VHDL

- Modeling Phyiscally Unclonable Functions with Deep Learning modeling
​​​​​​​- Fascilitating the utilization of Physically Unclonable Functions with Deep Learning models
- Design of Physically Unclonable Functions based on Neural Networks
- Neuromorphic computing

Activités / CV

Every year there is a greater demand for devices which process data which need to be secure. Considerable amount of contributions have been conducted to propose solutions and countermeasures against adversarial counterparts such as SCA attacks. Lately, a new concept called Physically Unclonable Function (PUF) has been discovered and found utterly potential for hardware authentication and security. PUF however is a delicate piece of hardware which requires added robustnecity in order to be confidently utilized.

As a PhD Candidate at Université Grenoble Alpes, my research is collectively focoused on PUF hardware, and the implementation of eifficient Deep Learning methods to robustly utilize Phyiscally Unclonnable Functions (PUF) in favor of Secure Computing for Constraint Cyber Physical Object.
In this regard, My current research interests would be:

- Low power compiting
- Neuromorphic copmuting
- Deep learning
- Hardware security
​​​​​​​- Physically Unclonnable Function Ø Side Channel Analysis

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mise à jour le 23 novembre 2021

LCIS
50, rue Barthélémy de Laffemas
BP54 26902 VALENCE Cedex 09 France
Tél : +33 (0)4 75 75 94 49
Université Grenoble Alpes