Lalitha Giridhar
Signal Processing Engineer | Tera-Hertz & mmWave Communication Systems | Radar Sensing & System Design
Signal Processing Engineer | Tera-Hertz & mmWave Communication Systems | Radar Sensing & System Design
I am a sixth-year PhD candidate in the Wireless Communication and Sensornets Laboratory (WCSL) at UC Santa Barbara, advised by Professor Upamanyu Madhow. My expertise lies in signal processing for wireless communications and radar systems, with research spanning mmWave and Tera-Hertz communication systems, Line-of-Sight (LoS) MIMO, and distributed MIMO radar networks.
My doctoral work focuses on designing robust and efficient short-range and long-range LoS MIMO communication systems, with particular attention to system-level challenges such as transceiver panel misalignment and link-range mismatch. More recently, I have expanded my focus into integrated communication and sensing, developing self-calibrating distributed MIMO radar networks for real-time detection and tracking of moving targets.
Alongside my academic research, I have gained industry experience that deepened my understanding of practical system constraints and collaborative development. This perspective enables me to bridge advanced signal processing with real-world implementation and contribute effectively in applied environments.
I am actively pursuing full-time opportunities in industry where I can apply my expertise in signal processing for communications and sensing to address system-level challenges. While I am eager to contribute in areas aligned with my training, I am equally excited to explore opportunities that push me to grow and learn in new technical domains.
A. Banik, L. Giridhar, A. P. Kattekola, A. Pallaprolu, Y. Mostofi, A. Sabharwal, and U. Madhow,
“mmSnap: Bayesian One-Shot Fusion in a Self-Calibrated mmWave Radar Network,” Proc. IEEE Radar Conference (RadarConf25), accepted for publication, 2025. Available at: arXiv:2505.00857
L. Giridhar, U. Madhow, and M. J. W. Rodwell,
“Creating Spatial Degrees of Freedom for Long-range LoS MIMO using Reflect-arrays,” IEEE Signal Processing Advances in Wireless Communication Conference (SPAWC), Lucca, Italy, Sept. 2024
L. Giridhar, M. E. Rasekh, A. D. Sezer, and U. Madhow,
“SOAR: Spatially Oversampled Adaptive Reception,” in preperation for submission to IEEE Transactions on Wireless Communications (TWC)
L. Giridhar, M. E. Rasekh, A. D. Sezer, and U. Madhow,
“Adaptive Space-Time Equalization with Spatial Oversampling for Misaligned LoS MIMO,” IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, Apr. 2022
L. Giridhar, A. D. Pillai, V. Guruvaiah,
“A Novel Approach to OCR Using Image Recognition Based Classification for Ancient Tamil Inscriptions in Temples,” arXiv:1907.04917
June – Sep 2025: Completed a summer internship at MaxLinear in Carlsbad, CA, working on high-speed interconnect systems.
June 2025: Our paper “mmSnap: Bayesian One-Shot Fusion in a Self-Calibrated mmWave Radar Network” was accepted for publication at the IEEE Radar Conference (RadarConf25).
Sep 2024 : Attended Techcon 2024 at Austin TX, and presented our work on Spatial Oversampling for Robust LoS MIMO
Aug 2024 : Successfully completed my PhD Qualifier and advanced to candidacy!
July 2024 : Our work "Creating Spatial Degrees of Freedom for Long-range LoS MIMO using Reflect-arrays" has been accepted for publication at IEEE SPAWC 2024 conference in Lucca, Italy
June 2024 : Was a graduate student mentor for the Engineering Capstone project Percept this academic year!
Oct 2023 : Happy to be a featured in the SRC student spotlight this month!
Sep 2023 : Attended Techcon 2023 at Austin TX, and presented our work on using Reflect-arrays for Long-Range LoS MIMO Links
July 2023 : Happy to be featured in the 'Young Investigators' spotlight at the CUbiC Annual Review at Columbia University, NYC, this year!
Mar 2023 : Received my M.S. in Electrical and Computer Engineering with a major in Wireless Communications!
Sep 2022 : Attended Techcon 2022 at Austin TX, and presented our work on using Spatial Oversampling for Misaligned LoS MIMO
June 2022 : Mentored the Engineering Capstone project Mimmo this academic year!
April 2022 : Presented our accepted work titled "Adaptive Space-Time Equalization with Spatial Oversampling for Misaligned LoS MIMO" at the IEEE WCNC conference at Austin, TX