Sanjay Purushotham is a Postdoctoral Scholar Research Associate in the Department of Computer Science and Integrated Media Systems Center (IMSC) at the University of Southern California (USC), where he is mentored by Prof. Yan Liu and Prof. Cyrus Shahabi. He obtained his PhD in Electrical Engineering from USC under the supervision of Prof. C.-C. Jay Kuo in the Media Communications Labs (MCL). His research interests are in machine learning, data mining, optimization theory, statistics, computer vision and its applications to healthcare & bio-informatics, social networks and multimedia data.

Recent Publications

(Google Scholar)


Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

Sanjay Purushotham, Chuizheng Meng, Zhengping Che and Yan Liu
Journal of Biomedical Informatics (JBI). 2018, [ Earlier version on arXiv - preprint arXiv:1710.08531, 2017] [Code on GitHub]

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag and Yan Liu
Scientific Reports (SREP), 8(1):6085. 2018, [ Earlier version on arXiv - preprint arXiv:1606.01865, 2016]

Variational Recurrent Adversarial Deep Domain Adaptation

Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon and Yan Liu
International Conference on Learning Representations, Toulon, France, 2017 (ICLR 2017)

Measuring and Predicting Tag Importance for Image Retrieval

Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren and C.-C. Jay Kuo
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017

A Pilot Study in using Deep-learning to Predict limited Life-expectancy in Women with Recurrent Cervical Cancer

Koji Matsuo, Sanjay Purushotham, Aida Moeini, Guangyu Li, Hiroko Machida, Yan Liu and Lynda D Roman
American Journal of Obstetrics and Gynecology (AJOG), 2017

Time-series Feature Learning with Applications to Healthcare Domain (Book Chapter)

Zhengping Che, Sanjay Purushotham, David Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder Khemani and Yan Liu
Mobile Health: Sensors, Analytic Methods, and Applications, 2017

Mining Human Mobility to Quantify Performance Status

Minh Nguyen, Zaki Hasnain, Sanjay Purushotham, Luciano Nocera, Paul Newton and Cyrus Shahabi
IEEE International Conference on Data Mining Workshops, New Orleans, USA, 2017 (ICDM 2017)

Deep Multi-Instance Learning for Concept Annotation from Medical Time Series Data

Sanjay Purushotham, Zhengping Che, Bo Jiang and Yan Liu
NIPS Machine Learning for Health Workshop, Long Beach, USA, 2017 (NIPS 2017)

Personalized Group Recommender Systems for Location and Event Based Social Networks

Sanjay Purushotham and C.-C.Jay Kuo
ACM Transactions on Spatial Algorithms and Systems (TSAS), 2016

Variational Adversarial Deep Domain Adaptation for Healthcare Time Series Analysis

Sanjay Purushotham, Wilka Carvalho and Yan Liu
NIPS Machine Learning for Healthcare Workshop, Barcelona, Spain, 2016 (NIPS 2016)

m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series

Minh Nguyen, Sanjay Purushotham, Hien To and Cyrus Shahabi
AMIA 2016 Workshop on Visual Analytics in Healthcare, Washington, D.C., USA, 2016 (AMIA 2016)

Interpretable Deep Models for ICU Outcome Prediction

Zhengping Che, Sanjay Purushotham, Robinder Khemani, and Yan Liu
Proceedings of the American Medical Informatics Assocation Annual Symposium, Washington, D.C., USA, 2016 (AMIA 2016)

Normal / Abnormal Heart Sound Recordings Classification Using Deep Recurrent Neural Network

Tanachat Nilanon, Sanjay Purushotham and Yan Liu
Proceedings of the Computing in Cardiology, Vancouver, Canada, 2016 (CinC 2016)

Distilling Knowledge from Deep Networks with Applications to Computational Phenotyping

Zhengping Che, Sanjay Purushotham and Yan Liu
Data Science Learning and Applications to Biomedical and Health Sciences Workshop, New York Academy of Sciences, 2016

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain

Zhengping Che, Sanjay Purushotham and Yan Liu
arXiv preprint arXiv:1512.03542, 2015 (extended paper of NIPS-MLHC 2015)

Knowledge Based Factorized High Order Sparse Learning Models

Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo and Mark Gerstein
NIPS 2015, Machine Learning in Computational Biology (MLCB) Workshop, Montreal, Canada, 2015 (NIPS 2015)

Distilling Knowledge from Deep Networks with Applications to Phenotype Discovery

Zhengping Che, Sanjay Purushotham and Yan Liu
NIPS 2015 Workshop on Machine Learning in Healthcare (MLHC), Montreal, Canada, 2015 (NIPS 2015)

Efficient Spatio-Temporal Sampling via Low-rank Tensor Sketching

Qi (Rose) Yu, Sanjay Purushotham and Yan Liu
NIPS Time Series Workshop 2015, Montreal, Canada, 2015 (NIPS 2015)

Modeling Group Dynamics for Personalized Group-Event Recommendation

Sanjay Purushotham and C.-C. Jay Kuo 2015
International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction, Washington DC, USA, 2015 (SBP 2015)

Studying User Influence in Personalized Group Recommenders in Location Based Social Networks

Sanjay Purushotham and C.-C. Jay Kuo NIPS 2014,
Personalization: Methods and Applications Workshop, Montreal, Canada, 2014 (NIPS 2014)

Collaborative Group-Activity Recommendation in Location-Based Social Networks

Sanjay Purushotham, Junaith Shahabdeen, Lama Nachman and C.-C. Jay Kuo
3rd ACM SIGSPATIAL GeoCrowd, Dallas, Texas, USA, 2014 (SIGSPATIAL 2014)

(Best Paper Award)

Factorized Sparse Learning Models with Interpretable High Order Feature Interactions

Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff
20th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, New York, USA, 2014 (KDD 2014)

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems

Sanjay Purushotham, Yan Liu and C.-C. Jay Kuo
29th International Conference on Machine Learning, Edinburgh, Scotland, 2012 (ICML 2012)

Hierarchical Bag-of-Words Model for Joint Multi-View Object Representation and Classification

Xiang Fu, Sanjay Purushotham, Daru Xu, Jian Li and C.-C. Jay Kuo
APSIPA Annual Summit & Conference, Hollywood, USA, 2012 (APSIPA 2012)

Picture-in-Picture Copy Detection Using Spatial Coding Techniques

Sanjay Purushotham, Qi Tian and C.-C. Jay Kuo
ACM Multimedia, AIEMPro Workshop, Scottsdale, Arizona, USA, 2011 (ACM MM 2011)

Video Genre Inference based on Camera Capturing Models, (Book Chapter)

Ping-Hao Wu, Sanjay Purushotham and C.-C. Jay Kuo
Chapter 7 in Video Search and Mining, Studies in Computational Intelligence, Vol. 287/2010

Separation of Professional and Amateur Video in Large Video Collections

Ping-Hao Wu, Tanaphol Thaipanich, Sanjay Purushotham and C.-C. Jay Kuo
IEEE Pacific-Rim Conf. on Multimedia, Bangkok, Thailand, Dec. 2009 (PCM 2009)


Posters and Demo


Medical Time Series to Concepts

Sanjay Purushotham, Bo Jiang, Zhengping Che and Yan Liu
SoCal Machine Learning Symposium (SCMLS 2017)

Variational Adversarial Deep Domain Adaptation for Healthcare Time Series Analysis

Sanjay Purushotham, Wilka Carvalho and Yan Liu
SoCal Machine Learning Symposium (SCMLS 2016) (Oral and Poster) (Best Poster Runnerup Award)

Distilling Knowledge from Deep Networks with Applications to Computational Phenotyping

Zhengping Che, Sanjay Purushotham and Yan Liu
Computer Science PhD Day, University of Southern California, USA, 2016

Measuring and Predicting Tag Importance for Image Retrieval

Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren and C.-C. Jay Kuo
6th Annual Ming Hsieh Department of Electrical Engineering Research Festival, USA, 2015

Factorized Sparse Learning Models with Interpretable High Order Feature Interactions

Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo and Rachel Ostroff
9th Annual Machine Learning Symposium, New York Academy of Sciences, New York, USA, 2015

Factorized Sparse Learning Models with Interpretable High Order Feature Interactions

Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo and Rachel Ostroff
AISTATS/MLSS Poster, Reykjavik, Iceland, 2014

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems

Sanjay Purushotham, Yan Liu and C.-C. Jay Kuo
Google PhD Summit, Los Angeles, USA, 2013

Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems

Sanjay Purushotham, Yan Liu and C.-C. Jay Kuo
3rd Annual Ming Hsieh Department of Electrical Engineering Research Festival, USA, 2013

Two Parallel Solvers for Lasso

Sanjay Purushotham and Tomer Levinboim
Scientific and Visualization course, USC, 2012 (Best Poster Award)

Group-Activity Recommendation

Sanjay Purushotham, Junaith Shahabdeen and Lama Nachman
Intel Labs CountryFair Research Festival, Oregon, USA, 2012 (Poster & Demo)

Socially Aware Activity: Group Recommendations

Sanjay Purushotham, Junaith Shahabdeen and Lama Nachman
Intel's Annual IDF Festival in San Francisco, CA, 2012 (Poster & Demo)

Picture-in-Picture Copy Detection Using Spatial Coding Techniques

Sanjay Purushotham, Qi Tian and C.-C. Jay Kuo
2nd Annual Ming Hsieh Department of Electrical Engineering Research Festival, USA, 2012


Teaching



CSCI 567: Machine Learning

Course Instructor

EE 569: Digital Image Processing

EE 669: Data Compression

Teaching and Grader Assistant
Guest Lecturer

CSCI 686: Big Data Analytics

Guest Lecturer