| Distributed online computation of Nash equilibria via iterative regularization techniques A Kannan, UV Shanbhag SIAM J. Optim 22 (4), 1177-1205, 2013 | 125* | 2013 |
| Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants A Kannan, UV Shanbhag Computational Optimization and Applications 74 (3), 779-820, 2019 | 81 | 2019 |
| Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis A Kannan, UV Shanbhag, HM Kim Optimization Methods and Software 28 (5), 1095-1138, 2013 | 75* | 2013 |
| Strategic behavior in power markets under uncertainty A Kannan, UV Shanbhag, HM Kim Energy Systems 2 (2), 115-141, 2011 | 50 | 2011 |
| Distributed iterative regularization algorithms for monotone Nash games A Kannan, UV Shanbhag Decision and Control (CDC), 2010 49th IEEE Conference on, 1963-1968, 2010 | 33 | 2010 |
| Fscnmf: Fusing structure and content via non-negative matrix factorization for embedding information networks S Bandyopadhyay, H Kara, A Kannan, MN Murty arXiv preprint arXiv:1804.05313, 2018 | 25 | 2018 |
| A game-theoretical model predictive control framework for electricity markets A Kannan, VM Zavala Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton …, 2011 | 21* | 2011 |
| The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes A Kannan, UV Shanbhag American Control Conference (ACC), 2014, 2930-2935, 2014 | 19 | 2014 |
| Fine grained classification of personal data entities R Dasgupta, B Ganesan, A Kannan, B Reinwald, A Kumar arXiv preprint arXiv:1811.09368, 2018 | 14 | 2018 |
| Benefits of Deeper Analysis in Simulation-based Groundwater Optimization Problems A Kannan, SM Wild Proceedings of the XIX International Conference on Computational Methods in …, 2012 | 14 | 2012 |
| Obtaining Quadratic Models of Noisy Functions A Kannan, SM Wild | 13 | 2012 |
| Computerized promotion and markdown price scheduling A Kannan, K Panchamgam US Patent 10,776,803, 2020 | 10 | 2020 |
| Computerized promotion and markdown price scheduling A Kannan, K Panchamgam, SM Wu US Patent 10,528,903, 2020 | 5 | 2020 |
| Distributed stochastic optimization under imperfect information A Kannan, A Nedić, UV Shanbhag 2015 54th IEEE Conference on Decision and Control (CDC), 400-405, 2015 | 5 | 2015 |
| Carbon nanotube based nems with cantilever structure PK Gudla, A Kannan, Z Tang, N Aluru Nanohub, 2008 | 4 | 2008 |
| Elevator movement plan generation A Kannan, K Narayanam, R Narayanam, M Sundararajan US Patent 11,097,921, 2021 | 3 | 2021 |
| Bundling items based on cost and value D Garg, A Jain, A Kannan, R Narayanam, M Sundararajan US Patent App. 15/988,876, 2019 | 2 | 2019 |
| Document Structure aware Relational Graph Convolutional Networks for Ontology Population AM Shalghar, A Kumar, B Ganesan, A Kannan ICLR Workshop on Deep Learning on Graphs for Natural Language Processing …, 2022 | 1 | 2022 |
| HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning A Kannan, AR Choudhury, V Saxena, S Raje, P Ram, A Verma, ... IEEE Conference on Big Data, 2021 | 1 | 2021 |
| Document structure aware Relation Extraction for Semantic Automation A Kumar, AM Shalghar, H Chauhan, B Ganesan, R Chaudhuri, A Kannan Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
Uday V. ShanbhagProfessor, Industrial and Manufacturing Engineering, Pennsylvania State UniversityDirección de correo verificada de psu.edu
