teaching
Teaching
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Polytech Paris-Saclay, Paris-Saclay University (associate professor, 2023-now)
- Programmation orientée objet (POO) (cycle d’ingénieur): Fall 2025
- Objets connectés (cycle d’ingénieur): Fall 2025
- Robotique (cycle d’ingénieur): Fall 2025
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Hanoi University of Science and Technology (lecturer, 2023-2025)
- Virtual Reality (AC4010, undergraduate): Fall 2023, Fall 2024
- Augmented Reality (AC4020, undergraduate): Fall 2023, Fall 2024
- Fundamentals of Data Communication (ET4070, undergraduate): Summer 2024
- Multimedia Data Compression and Coding (ET4262E, undergraduate): Spring 2024
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Troy University (invited lecturer, 2023-present)
- Computer Security (CS4451, undergraduate): Spring 2024
- Foundations of Computer Science (CS3310, undergraduate): Fall 2023
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Paris-Saclay University (teaching assistant, 2020-2022)
- Communication Numérique (G10, graduate): Fall 2020
- Joint Research Project (MN915/MN916, graduate, joint program with Institut Polytechnique de Paris): Fall 2020, Fall 2021
Resources
Networking
- Private 5G: A Systems Approach (Peterson et al., 2022).
- Mathematical Modelling for Computer Networks (Daniel and Narayanan).
- Modèles et algorithmes pour l’ingéniérie de trafic (Brun).
- Modèles & Algorithmes pour la Planification des Réseaux (Brun).
- Game Theory in Wireless and Communication Networks: Theory, Models, and Applications (Han).
- Selected Topics in Telecoms and Queueing Networks (Altman).
Optimization & Maths
- Selective Topics on Optimization (Han).
- Convex Optimization (Boyd and Vandenberghe).
- Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares (Boyd and Vandenberghe).
- Hyper-Textbook: Optimization Models and Applications, (El Ghaoui, 2021).
ML/AI
- Artificial Intelligence (CS221), Machine Learning (CS229), Deep Learning (CS230), (Amidi).
- Introduction to Deep Learning (STAT157) (Smola and Li).
- Introduction to Machine Learning (EE104) (Lall and Boyd).
- Reinforcement Learning (CS234) (Brunskill).
- Deep Learning Course (Yuki Asano et al.).