About Me

I was born and brought up in Kolkata, India. I have a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from National Institute of Technology Calicut, India. I am currently a PhD student in the Department of Computer Science, University of Southern California. My research interests are in Deep Learning and Representation Learning, especially for visual semantics and healthcare applications. I am interested in developing new algorithms and applications at the intersection of these fields.

Contact Details

Ayush Jaiswal
3740 McClintock Avenue
Los Angeles, CA 90089-2560, US
a#jaiswal AT usc DOT edu [delete #]
a#jaiswal AT isi DOT edu [delete #]
LinkedIn

Work

USC Information Sciences Institute

Research Assistant Aug 2017 - Present

I work as a Research Assistant to my PhD advisor, Prof. Natarajan, in his lab at USC ISI. I work on projects involving multimodal data (especially, images, text and structured metadata), with a focus on semantic modeling and integrity assessment. I continue to work on healthcare projects as a part of my PhD research.

NVIDIA

Deep Learning Intern May 2016 - Aug 2016 May 2017 - Aug 2017

I worked with the Data Analytics Platform team on various use-cases of machine learning and deep learning to improve their service and monitor their systems, involving anomaly detection and forecasting, as well as image segmentation.

USC Viterbi School of Engineering

Teaching Assistant Jan 2017 - May 2017

I worked as a Teaching Assistant for USC CSCI 104L (Data Structures and Object Oriented Design). I helped oranize lab sessions, held office hours and graded assignments and tests.

USC Viterbi School of Engineering

Research Assistant Aug 2014 - Apr 2016 Aug 2016 - Dec 2016

I worked as a Research Assistant to my PhD advisor, Prof. Raghavendra, in the Predictive Analytics lab. I worked on projects involving oilfield data and those involving healthcare data. I continue to work on healthcare projects as a part of my PhD research.

USC Information Sciences Institute

Visiting Research Scholar May 2013 - Jul 2013

I worked with Prof. Knoblock and his team on the task of predicting the next location of a smartphone user using sparse GPS data. I also worked on designing workflows for adding Data Mining features to their Data Integration project, Karma.

Education

University of Southern California, USA

PhD in Computer Science Currently Pursuing

I am currently pursuing a PhD in Computer Science at University of Southern California. My research interests include Machine Learning applications in multiple domains with a focus on Deep Learning, Representation Learning, Visual Semantics and Healthcare. I am co-advised by Prof. Cauligi S. Raghavendra and Prof. Premkumar Natarajan. I work on projects involving semantic understanding and retrieval of images. I also work on multiple projects to improve healthcare through Machine Learning. I am enrolled in the Health, Technology and Engineering (HTE@USC) program in which I work with medical students at USC Keck School of Medicine to come up with innovations to improve healthcare.

National Institute of Technology Calicut, India

BTech in Computer Science and Engineering Gold Medalist May 2014

I completed Bachelor of Technology in Computer Science and Engineering with the Gold Medal at National Institute of Technology Calicut, India.

Awards

  • 2nd Prize, Min Family Social Entrepreneurship Competition • Business idea with a large social impact • April, 2016
  • Global Impact Prize, USC Stevens Innovator Showcase • Business idea with the most global impact • Oct, 2015
  • Gold Medal, National Institue of Technology Calicut • Best academic performance in BTech (CSE) class of 2014 • Dec, 2014
  • Best Outgoing Student Award, Presented by Tata Consultancy Services • Best academic performance in BTech (CSE) class of 2014 • June, 2014
  • Prof. P.M. Jussay Award, Presented by NIT Calicut Alumni Association • Best academic performance in BTech (CSE) class of 2014 • Jan, 2014
  • Viterbi-India Award, Indo-US Science and Technology Forum • Scholarship awarded for summer research internship at University of Southern California. • Feb, 2013

Publications

2017
  • Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text. Jaiswal, A.*; Sabir, E.*; Abd-Almajeed, W.; Natarajan, P. To Appear In Proceedings of the 25th ACM Multimedia Conference (ACM-MM), 2017.
2015
  • Autoencoder-derived Features as Inputs to Classification Algorithms for Predicting Well Failures. Liu, J.; Jaiswal, A.; Yao, K.; Raghavendra, C. S. Society of Petroleum Engineers Western Regional Meeting, 2015.
2014
  • Integration and Automation of Data Preparation and Data Mining. Narayanan, S.; Jaiswal, A.; Chiang, Y.; Geng, Y.; Knoblock, C.; Szekely, P. In Proceedings of the First Workshop on Data Integration and Application (ICDM DINA), 2014.
  • Explicit Semantic Analysis for Computing Semantic Relatedness of Biomedical Text. Jaiswal, A.; Bhargava, A. In Proceedings of Confluence The Next Generation Information Technology Summit (IEEE), 2014
  • Location Prediction With Sparse GPS Data. Jaiswal, A.; Chiang, Y.; Knoblock, C. A.; Lan, L. In Proceedings of the 8th Geographic Information Science. 2014.