Welcome to my professional profile! I am currently serving as an Assistant Professor in the Department of Electrical Engineering at Indian Institute of Technology, Tirupati, a position I have held since July 2023. Prior to this, I contributed to the academic community as an Assistant Professor in the Department of Electronics and Electrical Engineering at the Indian Institute of Technology, Guwahati, from January 2022 to June 2023.
My academic journey includes a pivotal phase as a post-doctoral researcher collaborating with Professor Erik G. Larsson at Linkoping University in 2021. I successfully earned my Ph.D. in 2020 from the Department of Electrical Communication Engineering at the Indian Institute of Science, Bangalore, under the guidance of Prof. Neelesh B. Mehta. Before delving into academia, I honed my skills in industry as a design engineer from July 2012 to July 2016, contributing to the LTE and WiFi teams at Broadcom Communications, Bangalore.
My research endeavors span various facets of wireless communication, focusing on low-complexity multiple antenna techniques, spectrum sharing strategies, next-generation wireless standards, cell-free Massive MIMO, machine learning applications in wireless communications, and the innovative realm of Intelligent Reflecting Surfaces. I am passionate about exploring and advancing the frontier of wireless technology.
Office Address :
Room no: 07, First floor, Academic building 1,
IIT Tirupati, 517619,
News and Events
Dec 2023: Our paper titled “Joint Transmit Antenna Selection and Passive Beamforming in IRS-Aided OTFS Systems” has been accepted in NCC 2024.
Nov 2023: Delivered a guest lecture on “Introduction to Wireless Communication” to the under graduate students at Adikavi Nannaya University, Rajahmundry
Nov 2023: Our paper titled “BeamSync: Over-The-Air Synchronization for Distributed Massive MIMO Systems” has been accepted for publication in IEEE Transactions on Wireless Communications.
Oct 2023: Delivered a talk titled “Energy-Efficient Operation of Spectrum Sharing RadioWeaves Network” at SAMSUNG research India, Bangalore.
Sep 2023: Our paper titled “Binary Power Control and Passive Beamforming for RIS-Assisted Spectrum Sharing Network” got accepted in Globecom 2023
Sep 2023: A project titled “Multiple intelligent reflecting surfaces to improve network coverage in rural areas and hilly terrains” is granted by SERB
Apr 2023: Patent US11626909B2 titled “METHOD AND DEVICE FOR ENHANCING POWER OF SIGNAL IN WIRELESS COMMUNICATION SYSTEM USING IRS” has been granted on Apr 11, 2023
Indian Institute of Science, Bangalore
2016 – 2020
Indian Institute of Science, Bangalore
2010 – 2012
National Institute of Technology Karnataka, Surathkal
2005 – 2009
Indian Institute of Technology, Guwahati
Jan 2022 – Jun 2023
Linköping University, Sweden
Jan 2021 – Dec 2021
Samsung R & D Institute India, Bangalore
May 2020 – Nov 2020
BROADCOM Communications, Bangalore
Jul 2012 – Jul 2016
Awarded INSPIRE faculty fellowship 2021
Finalist of Qualcomm Innovation Fellowship 2019 India
Recipient of Kaikini PhD grant 2017 awarded to one student among all the engineering departments in IISc
Linkoping University, Linkoping, Sweden
Postdoc with Prof. Erik G. Larsson
Operational lead for REsilient INteractive applications through hyper Diversity in Energy Efficient RadioWeaves technology (REINDEER) project. Currently working on emerging technology, RadioWeaves, in which a fabric of distributed radio devices and computing resources offer consistent service and scalable network capacity taking advantage of distributed architectures and cell-free networking. It improves coverage and reduces power consumption.
Samsung R & D Institute India – Bangalore (SRI-B)
- Worked on machine learning algorithms for communication systems.
- Developed optimal antenna selection algorithm for an intelligent reflecting surface aided communication system.
- Developed low-complexity selection algorithms that significantly reduce the number of pilot transmissions with near-optimal performance.
Indian Institute of Science (IISc), Bangalore
Thesis title: Transmit Antenna Selection in Underlay Spectrum Sharing: Roleof Power Adaptation, Interference Constraint, and Channel State Information.
In this thesis, we study the role of power adaptation, interference constraint, and channel state information on the optimal antenna selection at an underlay secondary transmitter.
1. With binary on-off power adaptation:
- We first developed a novel and symbol error probability optimal antenna selection rule in the presence of a single primary receiver.
- We then extended it to the multiple primary receivers scenario with partial channel state information.
2. With continuous power adaptation:
- We first developed a new optimal joint antenna selection and power adaptation rule with instantaneous channel information.
- We then developed an optimal antenna selection rule with statistical channel information. Here, we showed that the optimal antenna to select is independent of the interference constraint.
In all the above cases, we achieved a one to two orders of magnitude reduction in the symbol error probability over existing ad hoc selection algorithms.