A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University. - Ioannis C. Konstantakopoulos; Andrew R. Barkan; Shiying He; Tanya Veeravalli; Huihan Liu; Costas J. Spanos (CoRR, 2018)

Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. - Hari Prasanna Das; Ioannis C. Konstantakopoulos; Aummul Baneen Manasawala; Tanya Veeravalli; Huihan Liu; Costas J. Spanos (CoRR, 2018)

Sensitivity analysis and relaxation of the Static Traffic Assignment Problem with Capacity Constraints. - Theophile Cabannes; Elizabeth Glista; Kshama Dwarakanath; Xu Rao; Tanya Veeravalli; Alexandre M. Bayen (CDC, 2019)

A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. - Hari Prasanna Das; Ioannis C. Konstantakopoulos; Aummul Baneen Manasawala; Tanya Veeravalli; Huihan Liu; Costas J. Spanos (ICMLA, 2019)

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. - Ioannis C. Konstantakopoulos; Hari Prasanna Das; Andrew R. Barkan; Shiying He; Tanya Veeravalli; Huihan Liu; Aummul Baneen Manasawala; Yu-Wen Lin; Costas J. Spanos (CoRR, 2019)

smartSDH: A Mechanism Design Approach to Building Control. - Ioannis C. Konstantakopoulos; Kristy A. Hamilton; Tanya Veeravalli; Costas J. Spanos; Roy Dong (CoRR, 2020)

The Twelvefold Way of Non-Sequential Lossless Compression. - Taha Ameen ur Rahman; Alton S. Barbehenn; Xinan Chen; Hassan Dbouk; James A. Douglas; Yuncong Geng; Ian George; John B. Harvill; Sung Woo Jeon; Kartik K. Kansal; Kiwook Lee; Kelly A. Levick; et al. (DCC, 2021)

Modeling Multilane Traffic with Moving Obstacles by Nonlocal Balance Laws. - Alexandre M. Bayen; Jan Friedrich; Alexander Keimer; Lukas Pflug; Tanya Veeravalli (SIAM J. Appl. Dyn. Syst., 2022)

smartSDH: An Experimental Study of Mechanism-Based Building Control. - Ioannis C. Konstantakopoulos; Kristy A. Hamilton; Yashaswini Murthy; Tanya Veeravalli; Costas J. Spanos; Roy Dong (IEEE Syst. J., 2022)

A Constructive Approach to Function Realization by Neural Stochastic Differential Equations. - Tanya Veeravalli; Maxim Raginsky (CDC, 2023)

Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations. - Tanya Veeravalli; Maxim Raginsky (L4DC, 2023)

Revisiting Stochastic Realization Theory using Functional Itô Calculus. - Tanya Veeravalli; Maxim Raginsky (CoRR, 2024)