Aishwarya Agrawal


Hometown: Korba (Chhattisgarh), India
Georgia Tech

Student Page:

Research: Aishwarya's research goal is to develop AI systems that can “see” (i.e., understand the contents of an image: who, what, where, doing what?) and “talk” (i.e., communicate the understanding to humans in free-form natural language). 

Aishwarya Agrawal is a fourth year PhD student in the School of Interactive Computing at Georgia Tech, advised by Dhruv Batra. Her research interests lie at the intersection of computer vision, machine learning and natural language processing. The Visual Question Answering (VQA) work by Aishwarya and her colleagues has witnessed tremendous interest in a short period of time (2 years). Aishwarya led the organization of the first VQA challenge and workshop at CVPR 2016 and co-organized the second VQA challenge and workshop at CVPR 2017. As a reviewer, she has served on the program committee of various conferences (CVPR, ICCV, ECCV, NIPS, ICLR) and a journal (IJCV). She has received Outstanding Reviewer awards at NIPS 2017 and CVPR 2017. Aishwarya received her bachelor's degree in Electrical Engineering with a minor in Computer Science and Engineering from Indian Institute of Technology (IIT) Gandhinagar in 2014, where she was awarded the institute silver medal for her academic performance. Aishwarya has held internship positions at Microsoft Research and Allen Institute for Artificial Intelligence.