Skills

Artificial Intelligence:

  • Machine Learning and Deep Learning: Currently, I am exploring these tools in several research problems in the area of Wireless Communication Networks. I have accomplished these skills through several online courses, especially the Specialization Courses provided by Prof. Andrew Ng from Stanford.

  • Deep Reinforcement Learning: Also, I have been using DRL in several resource allocation problems in the area of IoT networks. I acquired this knowledge through online courses provided by Prof. Emma Brunskill from Stanford and David Silver from Google.

Teaching:

@University of Agder, Norway

  • Deep Learning (PhD Course) at UIA, Norway, Autumn 2020, (Partial).

  • Deep Reinforcement Learning (PhD Course) at UIA, Norway, spring 2021, (Partial).

  • Wireless Embedded Systems and Sensor Networks (Masters Course) at UIA, Norway, Autumn 2020 and 2021, (100%).

@Indian Institute of Technology Kanpur, India

  • Statistical Signal Processing, (Teaching Assistant).

  • Basic Electronics, (Partial Tutor).

Research Supervision:

@University of Agder, Norway

  • I am co-supervising a PhD student who is working on Artificial Intelligence-based prediction and resource allocation of spectral resources.

@Indian Institute of Technology Kanpur, India

  • Co-Supervised several UG students for their summer research projects

  • Co-Supervised two Master students

  • Collaboration with other PhD colleagues

Others:

Embedded Systems

  • Contiki OS, Cooja: I have been using this tool extensively in teaching Master's Course on Wireless Embedded Systems and Sensor Networks