0000-0003-4901-9434 About
Chandra R. Murthy received the B. Tech degree in Electrical Engineering from the Indian Institute of Technology, Madras, Chennai, India in 1998 and the M.S. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, USA in 2000. In 2006, he obtained the Ph.D. degree in Electrical and Computer Engineering from the UC San Diego, La Jolla, CA, USA. The title of his thesis was “Channel Estimation and Feedback for Multiple Antenna Communication.”
From Aug. 2000 to Aug. 2002, he worked on WCDMA baseband transceiver design and 802.11b baseband receivers at Qualcomm, Inc, San Jose, USA; and from Aug. 2006 to Aug. 2007, he worked on advanced receiver algorithms for the 802.16e mobile WiMAX system at Beceem Communications (now Broadcom), Bangalore, India. Currently, he is working as a Professor in the department of Electrical Communication Engineering at the Indian Institute of Science, Bangalore, India.
His research interests are in the areas of sparse signal recovery, energy harvesting based communication, performance analysis and optimization of 5G and beyond communications. He has over 90 journal papers and 110 conference papers to his credit. His papers received the Best Paper Awards at NCC 2014 and 2023, and papers coauthored with his students received Student Best Paper Awards at the IEEE ICASSP 2018, IEEE ISIT 2021, and IEEE SPAWC 2022.
He is serving as a senior area editor for the IEEE Transactions on Information Theory. Previously, he has served on the editorial boards of the IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Signal Processing Letters, and the IEEE Transactions on Communications. He was an elected member of the IEEE SPCOM Technical Committee for the years 2014-19. He is a past Chapter Chair of the IEEE Signal Processing Society, Bangalore Chapter. He is a fellow of the IEEE and INAE.
Employment
-
Indian Institute of Science Professor2018 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (207)
- Exploiting Beam-Split Effect in IRS-Aided Systems via Opportunistic OFDMA: Design and Analysis Save
- Hybrid Beamforming Based Multi-user mmWave Communications via Opportunistic Scheduling Save
- Novel Receiver Designs for Low-Resolution ADC-Based Uplink MU-MIMO Systems With Unknown Channel Covariance Information Save
- Poster: Traffic-Aware Energy Efficiency Optimization in Practical Open RAN 5G Networks Save
- Low-resolution compressed sensing and beyond for communications and sensing: Trends and opportunities Save
- A Probably Approximately Correct Analysis of Group Testing Algorithms Save
- Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison Save
- Mitigating Spatial-Wideband and Beam-Split Effects via Distributed IRSs: Design and Analysis Save
- Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies Save
- Spatial Correlation-Aware Opportunistic Beamforming in IRS-Aided Multi-User Systems Save