Muralikrishnan Srinivasan

Postdoc,
Department of Electrical Engineering

Muralikrishnan Srinivasan is currently a postdoctoral researcher under Prof Henk Wymeersch at the Dept. of Electrical Engineering, Chalmers University of Technology, Sweden, in the "HOT-OPTICS" Project. He works in a broad spectrum of areas comprising machine learning for optical interconnects, wireless communication systems and physical layer security, massive multiple-input-multiple-output (MIMO) systems, aerial base stations, air-corridors, ad-hoc aeronautical networking (AANET), hypergeometric functions, extreme-value theory privacy, deep learning, etc.
Muralikrishnan Srinivasan is currently a postdoctoral researcher under Prof Henk Wymeersch at the Dept. of Electrical Engineering, Chalmers University of Technology, Sweden, in the HOT-OPTICS project. The project aims to develop optical interconnects (used in data centers and vehicles) with very high throughput and efficiency. The project builds on four leading groups from three departments at Chalmers. One of the project's objectives is to investigate, implement, and evaluate deep machine learning approaches for component-specific and end-to-end communication optimization using optical interconnects and comparative study with conventional techniques. The steering committee of the project includes Prof Anders Larsson, Prof Lars Svensson, Prof Peter Andrekson, Prof Henk Wymeersch, Dr. Jochen Schröder and Prof Christian Häger.

Prior to the current position, he worked with Prof Arsenia Chorti at ETIS (ENSEA, CY-Tech, CMRS UMR8051) between November 2020 - October 2021 on the physical layer security (PLS) in fifth-generation (5G) and sixth-generation (6G) critical systems and infrastructure. The work developed a systematic approach to utilize channel state information for authentication and secret-key-distillation for PLS.

Under Prof Sheetal Kalyani, the central part of his doctoral research at the Indian Institute of Technology Madras focused on developing approximate random matrix models for generalized fading multiple-input-multiple-output (MIMO) channels and demonstrating the utility of the results in a wide range of 5G applications. As sub-parts of his doctoral research, he has also worked on several interesting problems in the niche area of extreme value theory (or order statistics), hypergeometric functions, stochastic ordering, and their usability in wireless communications.

He is actively collaborating with Prof Lajos Hanzo of the University of Southampton and Prof Xiaojing Huang from the University of Technology Sydney to develop an Airplane-Aided Integrated Next-Generation Networking. He is also collaborating with Prof Kamesh Namuduri from the University of North Texas and Prof Sudharman Jayaweera from the University of New Mexico to deploy Advanced Air Mobility (AAM) applications such as air taxis and air ambulances, especially on a large scale.


Page manager Published: Sun 22 May 2022.