Ajay Jaiswal

I am a Ph.D. student at the The University of Texas at Austin working with Prof. Ying Ding, and Prof. Atlas Wang. I am a member of Visual Informatics Group (VITA) @UT Austin. I am also a recipient of Amazon Ph.D. Fellowship. My primary research is to address several fundamental bottlenecks (training, transfer, inference efficiency, and scalability, etc.) for modern-day neural networks (especially large foundational models and graph neural networks). My research accomplishments are evidenced by several impactful publications in top-tier venues, e.g., NeurIPS, ICML, ICLR, ECCV, ICCV, etc. In the past, I have interned at Apple AIML, Amazon Search, and Adobe Research.

Prior to joining UT Austin, I was a Graduate Student in Computer Science at Indian Institute of Technology, Kharagpur. I was advised by Prof. Animesh Mukherjee and Prof. Pawan Goyal at the CNeRG Lab. I have also spent 3 wonderful years as Lead Research Engineer at Advanced Technology Lab, Samsung Electronics, India under the supervision of Dr. Vijay Narayan Tiwari.

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UTA 5.410
1616 Guadalupe St
Austin, TX
United States


ajayjaiswal [at] utexas.edu

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ajayjaiswalhi [at] gmail.com

About Me

Born is a small town (Belthara) in Eastern UP, India, I got my hands on a computer first time during my undergraduate freshman year. My journey in computer science began when I was sixteen year old with a fantastic book "Let Us C" by Yashavant Kanetkar. During my career, I have always tried to make best use of resources and smart people around me to learn and grow. I identified my research potential while working with Prof. Animesh Mukherjee in IIT Kharagpur and later spent some wonderful time in Samsung Research after graduating. Currently, with the grace of GOD, I am very previlaged to work and supervised by some extremely brilliant minds in VITA and AI Health @ UT Austin.

Somewhere, something incredible is waiting to be known.

Prof. Carl Sagan
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