I have been learning to play the Indian classical instrument Tabla for the last 7 years, and have learnt the Hindustani style of Vocal music for about 2 years. The rich Indian classical music fascinates me, and I’m associated with organizations like SPIC MACAY that seek to preserve these art forms. 
I am fond of public speaking opportunities, including debates, speeches & extempores. I have also hosted Nobel Laureate Dr. Barry Barish, renowned economist Dr. Raghuram Rajan, and former ISRO Chairmen Dr. G. Madhavan Nair and Dr. K. Radhakrishnan, as a part of our institute’s annual technical festival. Do checkout the embedded links to the videos!
I’ve been lucky to travel to various parts of India & Europe and explore the diverse cultures. I often pen down my thoughts on these trips, and love to take pictures with my DSLR (or even my mobile :)), particularly when it involves nature. More details to be updated shortly! 
I have delved into a range of projects focussing on hardware accelerators for various applications. Of late, I’m particularly focusing on machine learning applications on embedded platforms. Read more about the research problems of my interest here! 
In the very recent past, I have also been exploring microarchitectural optimizations. Checkout this repository for more details. 
I am passionate about interdisciplinary research problems that align with Digital Design, with a special inclination towards translational research. You can find more about some of my work here. 
Published:
Final presentation for the IUSSTF Viterbi Summer Research Experience Program, titled “Hardware Accelerators for Vision Transformers”. Find the poster here
Published:
I presented a poster titled “Predicting Rupture Potential of Cerebral Aneurysms”, based on the work carried out under the Young Research Fellow Program 2021-22. Find the poster here 
Published:
Presented a poster on “Quasi-Weightless Vision Transformers” at the UT Austin iMAGiNE Consortium Symposium 2024.
Published:
Virtual presentation of our work on “Lightweight Vision Transformers for low energy edge inference” at the MLArchSys workshop at ISCA 2024. Find the recorded talk here.
Published:
Presented the Annual Review Presentation of the Semiconductor Research Corporation (SRC) AI Hardware Task 3148.001 “Ultra Low Energy Ultra Low Latency Machine Learning using Weightless Neural Networks” at the Combined AIHW/HWS Review held in July 2024, at ADI Wilmington.
Published:
I presented our work titled “LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA” at MWSCAS 2024. 
Published:
I presented our work titled “Quasi-Weightless Vision Transformers” at SRC TECHCON 2024. 
Published:
Presented on “Hashing and Filtering Techniques for Weightless Neural Networks”.
Undergraduate Course, Dept. of Electrical Engineering, Indian Institute of Technology Madras, 2022
I was a Teaching Assistant for the EE2003 Computer Organization course offered by Prof. Nitin Chandrachoodan in Fall’22. My responsibilities included conducting weekly lab sessions, and evaluating students. I also held periodic discussion and feedback sessions with my assigned group of students.
Undergraduate Course, Dept. of Electrical Engineering, Indian Institute of Technology Madras, 2023
I was a Teaching Assistant for the EE2703 Applied Programming Lab course offered by Prof. Nitin Chandrachoodan in Spring’23.
Upper Division Undergraduate Course, Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, 2023
I was a Teaching Assistant for the ECE Capstone Design class offered by Prof. Leonard (Frank) Register in the Fall’23 - Spring ‘24 iteration. My responsibilities included mentoring student groups, conducting weekly progress reviews, and evaluating students.
Undergraduate Research, , 2023
I am always excited about mentoring juniors on any aspects of undergraduate programs or research - be it related to courses, specializations, undergraduate research, research internship programs, or even application procedures for these. I’d also be happy to review application packages for research internship programs and graduate school applications. If you feel our backgrounds align and I might be of help to you, feel free to shoot me an email at shashanknag@utexas.edu. If you are from EE@IITM, check out the EE Research Club that a few of us initiated!