Machine Learning & Combinatorial Optimization

• Enhancing Customer Repurchase Prediction: Integrating Classification Algorithms with RFM Analysis for Precision and Actionable Insights
  with Rakesh Verma, Devesh Rathor, Saurabh Kumar and Mayank Mishra
  Elsevier IIMB Management Review, 2025
  

• Calibration Transfer via Knowledge Distillation
  with Ramya Hebbalaguppe, Kartik Anand and Chetan Arora
  ACCV, 2024 (Oral Presentation) [Supplementary]
  

• On Linear Convergence of PI Consensus Algorithm under the Restricted Secant Inequality
  with Kushal Chakrabarti
  ICC, 2024
  

• Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning
  with Aritra Pal, Anandsingh Chauhan and Ankush Ojha
  ECAI, 2024 (Acceptance Rate - 23%)
  

• A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
  with Kushal Chakrabarti
  ECAI, 2024 (Acceptance Rate - 23%)
  

• ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots
  with Ajnabiul Hoque, Manajit Das and Raghavan B. Sunoj
  ECAI, 2024 (Acceptance Rate - 23%)
  

• 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
  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
  

Bioinformatics & Computational Biology

• Deep Learning Enables Early-Stage Prediction of Preterm Birth Using Vaginal Microbiota
  Bioscientifica Microbiota and Host, 2024
  

  with Kaushik Karambelkar
  

• 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

Control of Microgrids

• 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

• 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
  

Miscellaneous

• 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