Mohammad Farzanullah

Networked Systems and Communications Research Lab under Professor Melike Erol-Kantarci.

Broadband Communications Research Lab under Dr. Tho Le-Ngoc. In our work, we proposed multi-agent reinforcement learning (MARL) to solve resource allocation (user association, channel assignment, power allocation, and group leader selection) problems in the context of factory automation and cellular-vehicle-to-everything (C-V2X) systems. The work was published in four conferences, listed below: • M. Farzanullah and T. Le-Ngoc, “Platoon leader selection, user association and resource allocation on a C-V2X based highway: A reinforcement learning approach,” in 2023 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’23 - IoTSN Symposium), (Rome, Italy), May 2023. • M. Farzanullah, H. V. Vu, and T. Le-Ngoc, “Reinforcement Learning based Multi-connectivity Resource Allocation in Factory Automation Systems,” in 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), pp. 1–5, 2022. • H. V Vu, M. Farzanullah, Z. Liu, D. H. N. Nguyen, R. Morawski, and T. Le-Ngoc, “Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems,” in 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 2022, pp. 1–5. • M. Farzanullah, H. V Vu, and T. Le-Ngoc, “Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation,” in 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, pp. 2059–2064.

COMP 424 - Artificial Intelligence (Winter 2022) COMP 202 - Foundations of Programming (Fall 2022) COMP 208 - Computer Programming for Physical Sciences and Engineering (Winter 2023)

Working on projects: • Demand Forecasting: Using RNN and LSTM to predict future demand of SKUs of various companies including pharmaceutical and FMCGs. • Production Planning: Use of Genetic Algorithm to optimize the production process for a Jeans manufacturer.

The Machine Learning department of the company evolved into a startup to which I was transferred to, and is mentioned above. The job description was the same.

The two-week University Immersion Program (UIP) organized by Sichuan University is designed to convene faculties from all over the world to give short courses and lectures to both domestic and international students at both undergraduate and graduate levels. UIP was initiated in 2012 and now a regular long-term program. This program aims to bring together students worldwide so as to give all participants an opportunity to associate and make friends with each other, and stimulate their global awareness and inter-cultural communications. Completed the Digital Image Processing course during the program.