معرفی
Mohammad Kazemi is a Marie Curie Research Fellow at the Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London. His research focuses on wireless communications, machine learning applications in communication systems, and massive random access systems. He holds a PhD from Amirkabir University of Technology (2017), and has held research positions at Bilkent University (2019-2023) and Amirkabir University's MMWCL lab (2017-2019). He served as Editorial Assistant for IEEE Transactions on Communications (2020-2023).
Education:
- B.S. and M.S. in Electrical Engineering, K.N. Toosi University of Technology (2007, 2010)
- PhD in Electrical Engineering, Amirkabir University of Technology (2017)
His research interests emphasize practical solutions for massive machine-to-machine (M2M) communications through EU-funded DeepMARA project. Key areas include fundamental limits of deletion/insertion channels, federated edge learning architectures, and secure mmWave communications. He explores applications in smart healthcare and transportation sectors using AI-driven communication frameworks.
Projects & Grants:
- DeepMARA: EU/UKRI-funded project developing reinforcement learning-based strategies for massive random access systems
- Over-the-air federated learning with hierarchical clustering
Labs & Teams: Member of the Information Processing and Communications Lab (IPC-Lab) at Imperial College London.
