I am an applied AI researcher at CNAM Paris.

---

RESUME

---

Teaching

Artificial Intelligence and Machine Learning for Connected Systems

Publications

Journal papers

1. Joint Traffic Offloading and Aging Control in 5G IoT Networks Naresh Modina, Rachid El Azouzi, Francesco De Pellegrini, Daniel Sadoc Menasche, Rosa Figueiredo IEEE Transactions on Mobile Computing.

   Conference papers

2. Naresh Modina, Riccardo Ferrari, Maurizio Magarini “A machine learning-based design of PRACH receiver in 5G” Procedia Computer science 151, 1100-1107.
3. Naresh Modina, Rachid El-Azouzi, Francesco De Pelligrini, Daniel Sadoc Menasche “Joint traffic offloading and aging control in 5G IOT networks” 2020 32nd International Teletraffic Congress (ITC 32), 147-155.
4. Naresh Modina, Mandar Datar, Rachid El-Azouzi, Francesco De Pelligrini, “Multi-resource allocation for network slices with multi-end fairness” 2022 IEEE International Conference on Communications(ICC 2022)

---

Webinar

• Closed loop automatin for networked systems

---

Areas of interests

• Machine Learning
• Deep Learning
• Deep Reinforcement Learning

Programming

• Python
  • Data: Numpy, Pandas
  • Vistualization: Matplotlib
  • Algorithms: Scipy
  • Machine learning: Scikit-learn
  • Deep learning: TensorFlow, PyTorch
  • Deep reinforcement learning: Gymnasium
• Matlab
• HTML, CSS
• Javascript (Inermediate)
  • React
• Bash (intermediate)

Other

• Docker
• git

Document writing

• Latex
• Markdown