Deep Learning Enables Early-Stage Prediction of Preterm Birth Using Vaginal Microbiota Bioscientifica Microbiota and Host, 2024
SPIN: A Data-Driven Model to Reduce Large Chemical Reaction Networks with Jacob Saldinger, Doohyun Kim, Paolo Elvati, Alfred Hero and Angela Violi Elsevier Fuel, 2024
Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing [Extended Abstract] with Saad Khan, and Srikant Sukumar AAMAS, 2024
Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points with Param Budhraja, Vishal Raj and Ashish Hota IEEE Transactions on Automatic Control, 2023
A scalable optimization framework for refinery operation and management with Mayur Selukar, Rushi Lotti, Aditya Paranjape, Sushanta Majumder and Jerome Rocher Computers & Chemical Engineering, 2023
Accelerating Distributed Optimization via Fixed-Time Convergent Flows with Kunal Garg IFAC World Congress, 2023
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks with Anandsingh Chauhan and Ansuma Basumatary AAAI, 2023 (Acceptance Rate - 19.6%)
Fixed-Time Stable Proximal Dynamical System for Solving MVIPs with Kunal Garg, Rohit Gupta and Mouhacine Benosman IEEE Transactions on Automatic Control, 2023
Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems with Kunal Garg Indian Control Conference, 2022
A Hierarchical Framework for Optimal and Scalable Process Scheduling in Plant Operations with Ajit Deshpande Indian Control Conference, 2022
Struct2Graph: A graph attention network for structure based predictions of protein-protein interactions with Abram Magner, Jacob Saldinger, Emine Turali-Emre, Paolo Elvati, Shivani Kozarekar, J Scott VanEpps, Nicholas Kotov, Angela Violi and Alfred Hero BMC Bioinformatics, 2022
A unified Maximum Entropy Principle approach for a large class of routing problems with Lavanya Marla, Carolyn Beck and Srinivasa Salapaka Computers & Industrial Engineering, 2022
Optimal Schedule Generation for Single-Channel Crude Transfer Using a Multi-Model Approach with Aditya Paranjape, Satyavrat Wagle, Rushi Lotti, Sushanta Majumder and Anne-Laure Bulliere Computers & Chemical Engineering, 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows with Param Budhraja, Kunal Garg and Ashish Hota AAAI, 2022 (Acceptance Rate - 15%)
Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification with Abram Magner and Alfred Hero IEEE Transactions on Information Theory, 2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays with Somjit Nath and Harshad Khadilkar CIKM, 2021 (Acceptance Rate - 21.7%)
Scalable multi-product inventory control with lead time constraints using reinforcement learning with Hardik Meisheri, Nazneen Sultana, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran and Harshad Khadilkar Springer Neural Computing and Applications, 2021
A fixed-time convergent distributed algorithm for strongly convex functions in a time-varying network with Kunal Garg and Dimitra Panagou CDC, 2020
On sparse identification of complex dynamical systems: A study on discovering influential reactions in chemical reaction networks with Farshad Harirchi, Doohyun Kim, Omar Khalil, Sijia Liu, Paolo Elvati, Alfred Hero and Angela Violi Elsevier Fuel, 2020
CAPPA: Continuous-time accelerated proximal point algorithm for sparse recovery with Kunal Garg IEEE Signal Processing Letters, 2020
Robust distributed fixed-time economic dispatch under time-varying topology with Kunal Garg, Dimitra Panagou and Alfred Hero IEEE Control Systems Letters, 2020
The power of graph convolutional networks to distinguish random graph models with Abram Magner and Alfred Hero ISIT, 2020
Multiway k-cut in static and dynamic graphs: A maximum entropy principle approach with Amber Srivastava and Srinivasa Salapaka CDC, 2019
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset with Amber Srivastava and Srinivasa Salapaka AAAI, 2019 (Acceptance Rate - 16.2%)
Weighted kernel deterministic annealing: A maximum-entropy principle approach for shape clustering with Srinivasa Salapaka ICC, 2018 (Finalist - Best paper award)
Multiple traveling salesmen and related problems: A maximum-entropy principle based approach with Brian Roehl and Srinivasa Salapaka ACC, 2017
Clustering with capacity and size constraints: A deterministic approach with Srinivasa Salapaka ICC, 2017
Vehicle routing problem with time windows: A deterministic annealing approach with Pratik Parekh, Lavanya Marla, Srinivasa Salapaka and Carolyn L Beck ACC, 2016
Recurrent Neural Networks Enable Design of Multifunctional Synthetic Human Gut Microbiome Dynamics with Ryan Clark, Jaron Thompson, Zeyu Sun, Alfred Hero and Ophelia Venturelli eLife, 2022
CGAT: Cell Graph ATtention Network for Grading of Pancreatic Disease Histology Images with Santhoshi Krishnan, Morgan Oneka, Timothy Frankel and Arvind Rao Frontiers in Immunology, 2021
A deep learning architecture for metabolic pathway prediction with Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi and Alfred Hero Bioinformatics, 2019
Clustering and supervisory voltage control in power systems with Srinivasa Salapaka Elsevier International Journal of Electrical Power & Energy Systems, 2019
Droopless Active and Reactive Power Sharing in Parallel Operated Inverters in Islanded Microgrids with Alireza Askarian and Srinivasa Salapaka CDC, 2018
A distributed architecture for robust and optimal control of DC microgrids with Alireza Askarian, Srinivasa Salapaka and Murti Salapaka IEEE Transactions on Industrial Electronics, 2018
Clustering of power networks: An information-theoretic perspective with Srinivasa Salapaka ACC, 2017
DC bus voltage regulation using photovoltaic module: A non-iterative method with Alireza Askarian and Srinivasa Salapaka ACC, 2017
A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing with Alireza Askarian, Srinivasa Salapaka and Murti Salapaka ACC, 2017
A decentralized scalable control architecture for islanded operation of parallel DC/AC inverters with prescribed power sharing with Alireza Askarian and Srinivasa Salapaka ACC, 2017
Robust decentralized voltage control of DC-DC converters with applications to power sharing and ripple sharing with Srinivasa Salapaka and Murti Salapaka ACC, 2016
Robust atomic force microscopy using multiple sensors with Ram Sai Gorugantu and Srinivasa Salapaka Review of Scientific Instruments, 2016
Fast and robust control of nanopositioning systems: Performance limits enabled by field programmable analog arrays with Ram Sai Gorugantu and Srinivasa Salapaka Review of Scientific Instruments, 2015
Modeling and simulation of flight dynamics of variable mass systems with Marco Quadrelli, Jonathan Cameron, Bob Balaram, and Alessandro Bruno AIAA/AAS Aerodynamic Specialist Conference, 2014
Abnormal motion detection in real time using video surveillance and body sensors with Muhammad Tahir Khan and Clarence De Silva International Journal of Information Acquisition, 2011
Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity with Kushal Chakrabarti