Kush R Varshney  Kush R Varshney photo       

contact information

Research Staff Member and Manager
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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links

Professional Associations

Professional Associations:  IEEE   |  Tau Beta Pi


2016

Fidelity Loss in Distribution-Preserving Anonymization and Histogram Equalization
Lav R. Varshney, Kush R. Varshney
Conference on Information Sciences and Systems, 2016

Engineering Safety in Machine Learning
Kush R. Varshney
Information Theory and Applications Workshop, 2016

Associative Algorithms for Computational Creativity
Lav R. Varshney, Jun Wang, Kush R. Varshney
Journal of Creative Behavior, 2016

Olfactory Signal Processing
Kush R. Varshney, Lav R. Varshney
Digital Signal Processing48, 84-92, 2016


2015

Assessing Expertise in the Enterprise: The Recommender Point of View
Aleksandra Mojsilovic, Kush R. Varshney
ACM Recommender Systems Conference, 2015

Learning Interpretable Clinical Prediction Rules using Threshold Group Testing
Amin Emad, Kush R. Varshney, Dmitry M. Malioutov
NIPS Workshop on Machine Learning in Healthcare, 2015

From Open Data Ecosystems to Systems of Innovation: A Journey to Realize the Promise of Open Data
Shubir Kapoor, Aleksandra Mojsilovic, Jade Nguyen Strattner, Kush R. Varshney
Data for Good Exchange, 2015


Predictive Modeling of Customer Repayment for Sustainable Pay-As-You-Go Solar Power in Rural India
Hugo Gerard, Kamalesh Rao, Mark Simithraaratchy, Kush R. Varshney, Kunal Kabra, G. Paul Needham
Data for Good Exchange, 2015

Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond
Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
ACM JDIQ, 2015

Targeting Villages for Rural Development Using Satellite Image Analysis
Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco
Big Data, 2015



Optigrow: People Analytics for Job Transfers
Dennis Wei, Kush R. Varshney, Marcy Wagman
IEEE International Congress on Big Data, 2015




Persistent Topology of Decision Boundaries
Kush R. Varshney, Karthikeyan Natesan Ramamurthy
ICASSP, 2015

Learning Interpretable Classification Rules via Boolean Compressed Sensing
Dmitry M. Malioutov, Kush R. Varshney, Sanjeeb Dash
Joint Statistical Meetings, 2015


2014

Legislative Prediction with Political and Social Network Analysis
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
Encyclopedia of Social Network Analysis and Mining, pp. 804-811, Springer, 2014

Personalization of Product Novelty Assessment via Bayesian Surprise
Nan Shao, Kush R. Varshney, Lav R. Varshney, Florian Pinel, Anshul Sheopuri, Pavankumar Murali
Joint Statistical Meetings, 2014

Talent Analytics to Predict Employee Job Roles and Skill Sets Using Diverse Data Sources
Kush R. Varshney, Vijil Chenthamarakshan, Jun Wang, Dongping Fang, Aleksandra Mojsilovic
International Symposium on Business and Industrial Statistics and Conference of the ASA Section on Statistical Learning and Data Mining, 2014

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
Mujdat Cetin, Ivana Stojanovic, O Onhon, K Varshney, Sadegh Samadi, W Karl, A Willsky
Signal Processing Magazine, IEEE 31(4), 27--40, IEEE, 2014

Collaborative Kalman Filtering for Dynamic Matrix Factorization
J Sun, Dhruv Parthasarathy, K Varshney
IEEE Transactions on Signal Processing, 2014

Computing persistent homology under random projection
Karthikeyan Natesan Ramamurthy, Kush R Varshney, Jayaraman J Thiagarajan
Statistical Signal Processing (SSP), 2014 IEEE Workshop on, pp. 105--108

FOOD STEGANOGRAPHY WITH OLFACTORY WHITE
Kush R Varshney, Lav R Varshney
IEEE Statistical Signal Processing Workshop, 2014

ACTIVE ODOR CANCELLATION
Kush R Varshney, Lav R Varshney
IEEE Statistical Signal Processing Workshop, 2014

An Analysis of Losing Unimportant Points in Tennis
Kush R Varshney
KDD Workshop on Large-Scale Sports Analytics, 2014


Predicting Employee Expertise for Talent Management in the Enterprise
Kush R Varshney, Vijil Chenthamarakshan, Scott W Fancher, Jun Wang, Dongping Fang, Aleksandra Mojsilovic
KDD, 2014



Optimal grouping for group minimax hypothesis testing
Kush R Varshney, Lav R Varshney
IEEE Transactions on Information Theory, 2014


2013

A Big Data Approach to Computational Creativity
Lav R Varshney, Florian Pinel, Kush R Varshney, Debarun Bhattacharjya, Angela Schoergendorfer, Yi-Min Chee
arXiv preprint arXiv:1311.1213, 2013

Balancing lifetime and classification accuracy of wireless sensor networks
Kush R Varshney, Peter M van de Ven
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing, pp. 31--38, 2013

Prescriptive Analytics for Allocating Sales Teams to Opportunities
Ban Kawas, Mark S Squillante, Dharmashankar Subramanian, Kush R Varshney
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, pp. 211--218

Quantile regression for workforce analytics
Karthikeyan Natesan Ramamurthy, Kush R Varshney, Moninder Singh
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, pp. 1134--1134

Quantifying and recommending expertise when new skills emerge
Dongping Fang, Kush R Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H Bauer
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, pp. 672--679


Exact Rule Learning via Boolean Compressed Sensing
D. Malioutov and Kush Varshney
ICML, 2013


Predicting and recommending skills in the social enterprise
Kush R Varshney, Jun Wang, Aleksandra Mojsilovic, Dongping Fang, John H Bauer
Proc. Int. AAAI Conf. Weblogs Soc. Med, 2013

Dose-response signal estimation and optimization for salesforce management
Kush R Varshney, Moninder Singh
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on, pp. 328--333

Expertise assessment with multi-cue semantic information
Jun Wang, Kush R Varshney, Aleksandra Mojsilovic, Dongping Fang, John H Bauer
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on, pp. 534--539

Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data
Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Meyers
Proceedings of the International Joint Conference on Artificial Intelligence Workshops, pp. 3--12, 2013

Cognition as a Part of Computational Creativity
Lav R. Varshney, Florian Pinel, Kush R. Varshney, Angela Sch\"{o}rgendorfer, Yi-Min Chee
Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), pp. 36--43, 2013

Practical Ensemble Classification Error Bounds for Different Operating Points
K.R. Varshney, R.J. Prenger, T.L. Marlatt, B.Y. Chen, W.G. Hanley
IEEE Transactions on Knowledge and Data Engineering, 2013


2012


An Analytics Approach for Proactively Combating Voluntary Attrition of Employees
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Mark S. Squillante, Yingdong Lu, Alisia Gill, Patricia Faur, and Raphael Ezry
IEEE International Conference on Data Mining (ICDM) - Workshop on Data Mining for Service, pp. 317--323, 2012


Interactive Visual Salesforce Analytics
Kush R. Varshney, Jamie Rasmussen, Aleksandra Mojsilovic, Moninder Singh, Joan M. DiMicco
International Conference on Information Systems 2012

Sales-Force Performance Analytics and Optimization
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, and Kush R. Varshney
IBM Journal of Research and Development 56(6), 8--1, IBM, 2012

Legislative Prediction via Random Walks over a Heterogeneous Graph
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
SIAM International Conference on Data Mining, pp. 1095-1106, 2012

Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization
Jun Wang, Moninder Singh, Kush R. Varshney
Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on, pp. 416--421

Decision Trees for Heterogeneous Dose-Response Signal Analysis
Kush R. Varshney, Moninder Singh, Jun Wang
IEEE Statistical Signal Processing Workshop, 2012

Dynamic Matrix Factorization: A State Space Approach
John Z. Sun, Kush R. Varshney, Karthik Subbian
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012



2011

Classification of IT service tickets for defect prevention
KR Varshney, D Fang, AR Heching, A Mojsilovic, M Singh
INFORMS Annu. Meeting, Charlotte, NC, 2011

Categorical Decision Making by People, Committees, and Crowds
Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal
Information Theory and its Applications Workshop, 2011

Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations
Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic
IEEE International Workshop on Data Mining for Service, 2011


Spatially-Correlated Sensor Discriminant Analysis
Kush R. Varshney
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011

A Risk Bound for Ensemble Classification with a Reject Option
Kush R. Varshney
IEEE International Workshop on Statistical Signal Processing, 2011

Bayes Risk Error is a Bregman Divergence
Kush R. Varshney
IEEE Transactions on Signal Processing, 2011

MCMC inference of the shape and variability of time-response signals
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2011


Multilevel Minimax Hypothesis Testing
Kush R. Varshney, Lav R. Varshney
IEEE International Workshop on Statistical Signal Processing, 2011


2010

A Framework for Sales Force Productivity Profile Estimation
Mayank Sharma, Aleksandra Mojsilovic, Moninder Singh, Kush R. Varshney
INFORMS Annual Meeting, 2010

Class-Specific Error Bounds for Ensemble Classifiers
Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 843--852, 2010


Classification Using Geometric Level Sets
Kush R. Varshney, Alan S. Willsky
Journal of Machine Learning Research 11(Feb), 491-516, JMLR. org, 2010


2009

Postarthroplasty Examination Using X-ray Images
Kush R. Varshney, Nikos Paragios, Jean-Francois Deux, Alain Kulski, Remy Raymond, Phillipe Hernigou, Alain Rahmouni
IEEE Transactions on Medical Imaging, 2009

Learning Dimensionality-Reduced Classifiers for Information Fusion
Kush R. Varshney, Alan S. Willsky
International Conference on Information Fusion, pp. 1881--1888, 2009


2008


Sparse Representation in Structured Dictionaries with Application to Synthetic Aperture Radar
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
IEEE Transactions on Signal Processing 56(8), 3548--3561, IEEE, 2008

Minimum Mean Bayes Risk Error Quantization of Prior Probabilities
Kush R. Varshney, Lav R. Varshney
IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3445--3448, 2008

Quantization of Prior Probabilities for Hypothesis Testing
Kush R. Varshney, Lav R. Varshney
IEEE Transactions on Signal Processing 56(10 ), 4553--4562, IEEE, 2008

Supervised Learning of Classifiers via Level Set Segmentation
Kush R. Varshney, Alan S. Willsky
IEEE Workshop on Machine Learning for Signal Processing, pp. 115--120, 2008


2007

A Sparse Signal Representation-Based Approach to Image Formation and Anisotropy Determination in Wide-Angle Radar
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
IEEE Signal Processing and Communications Applications Conference, pp. 1--4, 2007

Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays
Kush R. Varshney, Nikos Paragios, Alain Kulski, Remy Raymond, Phillipe Hernigou, Alain Rahmouni
IEEE International Symposium on Biomedical Imaging, pp. 1148--1151, 2007


2006

Wideangle SAR image formation with migratory scattering centers and regularization in Hough space
Kush R Varshney, M\"ujdat Cetin, John W Fisher III, Alan S Willsky
Proc. Adapt. Sensor Array Process. Workshop, 2006


Wide-Angle SAR Image Formation with Migratory Scattering Centers and Regularization in Hough Space
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
Workshop on Adaptive Sensor Array Processing, pp. 2006

Joint Image Formation and Anisotropy Characterization in Wide-Angle SAR
Kush R. Varshney, Mjdat etin, John W. Fisher III, Alan S. Willsky
SPIE Defense and Security Symposium, Algorithms for Synthetic Aperture Radar Imagery XIII, pp. 62370D, 2006


2005

Automatic Fingerprint Matching Systems
Kush R. Varshney
Glimpses of Systems Theory and Novel Applications: Felcitation Volume in Honour of Professor Raj Kumar Varshney, pp. 149-164, Navin Press, 2005