I am a Ph.D. student at the School of Information, UT Austin. I am fortunate to be advised by Prof. Ying Ding, and Prof. Atlas Wang. I am a member of Visual Informatics Group (VITA) @UT Austin. My primary research revolves around Multi-Modal Systems, Model Interpretability and Optimization. I am currently working on designing and improving explainability of the training recipe for Sparse Neural Networks. I am also developing AI algorithms across computer vision, natural language processing which assists in critical medical decision-making.

Prior to joining UT Austin, I completed my Masters in Computer Science from Indian Institute of Technology, Kharagpur. I was advised by Prof. Animesh Mukherjee and Prof. Pawan Goyal at the CNeRG Lab. I have also worked as Lead Research Engineer at Advanced Technology Lab, Samsung Electronics, India under the supervision of Dr. Vijay Narayan Tiwari.

Somewhere, something incredible is waiting to be known. ~Prof. Carl Sagan

Italian Trulli

Ajay Jaiswal

PhD Student - UT Austin

School of Information

Office: UTA 5.410, 1616 Guadalupe St

News Updates


Aug, 2021  Our work - 'SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata' got accpeted at ICDM 2021.
JuL, 2021  Winner of the AI Health Data Challenge at UT Austin. (First Prize - $1000)
Jun, 2021  Our work - 'Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays' got accpeted at AMIA 2021.
Jun, 2021  Started Working as Graduate Research Assistant with Prof. Katrin Erk on Narrative Inference.
Mar, 2021  Presented our paper "Understanding Parachuting Collaboration" at iConference 2021.
Jan, 2021  Started PhD in Information Science at University of Texas at Austin
Jan, 2021  Receipent of Kilgarlin Fellowship ($2,500/semester - 2021 to 2024)
Jan, 2021  Receipent of William and Margaret Kilgarlin Endowed Scholarship ($54,750 - 2021 to 2022)
Dec, 2020  Left job at Advanced Technology Lab, Samsung Electronics, Banglore, India.
Feb, 2020  Our submitted systems ranked 2nd, and 3rd place for Task 4, and 11 at SemEval 2020.

Select Publications (*Equal Contribution)


SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin Rousseau, Yifan Peng, and Ying Ding
2021 21st IEEE International Conference on Data Mining (ICDM 2021)

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng
2021 American Medical Informatics Association Annual Symposium

Understanding Parachuting Collaboration
Ajay Jaiswal, Meijun Liu, Ying Ding
2021 Diversity, Divergence, Dialogue: 16th International Conference, iConference

Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles
Mayank Raj*, Ajay Jaiswal*, RR Rohit, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim
2020 Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1802-1807

Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning
Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit Rr, Mayank Raj, Ajay Jaiswal
2020 Proceedings of the Fourteenth Workshop on Semantic Evaluation, 585-593

Understanding the impact of early citers on long-term scientific impact
Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal
2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)