Mathematical programs with equilibrium constraints (MPECs) in process engineering. - Arvind U. Raghunathan; Lorenz T. Biegler (Comput. Chem. Eng., 2003)

An MPEC formulation for dynamic optimization of distillation operations. - Arvind U. Raghunathan; María Soledad Díaz; Lorenz T. Biegler (Comput. Chem. Eng., 2004)

An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs). - Arvind U. Raghunathan; Lorenz T. Biegler (SIAM J. Optim., 2005)

MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles. - Francesco Borrelli; Dharmashankar Subramanian; Arvind U. Raghunathan; Lorenz T. Biegler (ACC, 2006)

Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs). - Arvind U. Raghunathan; José Ricardo Pérez-Correa; Eduardo Agosin; Lorenz T. Biegler (Ann. Oper. Res., 2006)

Optimal stabilization using Lyapunov measure. - Arvind U. Raghunathan; Umesh Vaidya (ACC, 2008)

Lyapunov measure and control of periodic orbit. - Amit Diwadkar; Umesh Vaidya; Arvind U. Raghunathan (EIT, 2008)

Transfer operator method for control in fluid flows. - Umesh Vaidya; Baskar Ganapathysubramanian; Arvind U. Raghunathan (CDC, 2009)

Global optimization of Optimal Power Flow using a branch & bound algorithm. - Ajit Gopalakrishnan; Arvind U. Raghunathan; Daniel Nikovski; Lorenz T. Biegler (Allerton Conference, 2012)

A distributed anytime algorithm for maximizing occupant comfort. - Arvind U. Raghunathan; Sudha Krishnamurthy (ACC, 2012)

Semismooth equation approach to Network Utility Maximization (NUM). - Lijie Bai; Arvind U. Raghunathan (ACC, 2013)

Global optimization of multi-period optimal power flow. - Ajit Gopalakrishnan; Arvind U. Raghunathan; Daniel Nikovski; Lorenz T. Biegler (ACC, 2013)

Global Optimization of Nonlinear Network Design. - Arvind U. Raghunathan (SIAM J. Optim., 2013)

Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection. - Arvind U. Raghunathan; Stefano Di Cairano (ACC, 2014)

Infeasibility detection in alternating direction method of multipliers for convex quadratic programs. - Arvind U. Raghunathan; Stefano Di Cairano (CDC, 2014)

Optimal Stabilization Using Lyapunov Measures. - Arvind U. Raghunathan; Umesh Vaidya (IEEE Trans. Autom. Control., 2014)

Decomposition via ADMM for scenario-based Model Predictive Control. - Jia Kang; Arvind U. Raghunathan; Stefano Di Cairano (ACC, 2015)

A Benders Approach to the Minimum Chordal Completion Problem. - David Bergman; Arvind U. Raghunathan (CPAIOR, 2015)

Consensus-based distributed optimal power flow algorithm. - Jie Liu; Mouhacine Benosman; Arvind U. Raghunathan (ISGT, 2015)

Degeneracy in maximal clique decomposition for Semidefinite Programs. - Arvind U. Raghunathan; Andrew V. Knyazev (ACC, 2016)

Submodular Function Maximization for Group Elevator Scheduling. - Srikumar Ramalingam; Arvind U. Raghunathan; Daniel Nikovski (ICAPS, 2017)

Transfer operator-based approach for optimal stabilization of stochastic systems. - Apurba Kumar Das; Arvind U. Raghunathan; Umesh Vaidya (ACC, 2017)

Solving nearly-separable quadratic optimization problems as nonsmooth equations. - Frank E. Curtis; Arvind U. Raghunathan (Comput. Optim. Appl., 2017)

Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. - Apurba Kumar Das; Arvind U. Raghunathan; Umesh Vaidya (CoRR, 2017)

Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. - Nikolaos Ploskas; Christopher R. Laughman; Arvind U. Raghunathan; Nikolaos V. Sahinidis (CoRR, 2017)

The Integrated Last-Mile Transportation Problem (ILMTP). - Arvind U. Raghunathan; David Bergman; John N. Hooker; Thiago Serra; Shingo Kobori (ICAPS, 2018)

Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning. - Ankush Chakrabarty; Arvind U. Raghunathan; Stefano Di Cairano; Claus Danielson (CDC, 2018)

LDLT Direction Interior Point Method for Semidefinite Programming. - Arvind U. Raghunathan; Lorenz T. Biegler (SIAM J. Optim., 2018)

Quasi-Newton Trust Region Policy Optimization. - Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRL, 2019)

Heat Exchanger Circuitry Design by Decision Diagrams. - Nikolaos Ploskas; Christopher R. Laughman; Arvind U. Raghunathan; Nikolaos V. Sahinidis (CPAIOR, 2019)

Last-Mile Scheduling Under Uncertainty. - Thiago Serra; Arvind U. Raghunathan; David Bergman; John N. Hooker; Shingo Kobori (CPAIOR, 2019)

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. - Arvind U. Raghunathan; Anoop Cherian; Devesh K. Jha (ICML, 2019)

On the Minimum Chordal Completion Polytope. - David Bergman; Carlos Henrique Cardonha; André Augusto Ciré; Arvind U. Raghunathan (Oper. Res., 2019)

Local Policy Optimization for Trajectory-Centric Reinforcement Learning. - Patrik Kolaric; Devesh K. Jha; Arvind U. Raghunathan; Frank L. Lewis; Mouhacine Benosman; Diego Romeres; Daniel Nikovski (ICRA, 2020)

Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection. - Arvind U. Raghunathan (CDC, 2021)

PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CoRR, 2021)

Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs. - Carlos J. Nohra; Arvind U. Raghunathan; Nikolaos V. Sahinidis (SIAM J. Optim., 2021)

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CDC, 2022)

Transformer Networks for Predictive Group Elevator Control. - Jing Zhang 030; Athanasios Tsiligkaridis; Hiroshi Taguchi; Arvind U. Raghunathan; Daniel Nikovski (ECC, 2022)

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (ICRA, 2022)

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ICRA, 2022)

Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRR, 2022)

Recursive McCormick Linearization of Multilinear Programs. - Arvind U. Raghunathan; Carlos Cardonha; David Bergman; Carlos J. Nohra (CoRR, 2022)

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (CoRR, 2022)

JANOS: An Integrated Predictive and Prescriptive Modeling Framework. - David Bergman; Teng Huang 002; Philip Brooks; Andrea Lodi 001; Arvind U. Raghunathan (INFORMS J. Comput., 2022)

Template-Based Minor Embedding for Adiabatic Quantum Optimization. - Thiago Serra; Teng Huang 002; Arvind U. Raghunathan; David Bergman (INFORMS J. Comput., 2022)

SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs. - Carlos J. Nohra; Arvind U. Raghunathan; Nikolaos V. Sahinidis (Math. Program., 2022)

Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics. - Ankush Chakrabarty; Claus Danielson; Stefano Di Cairano; Arvind U. Raghunathan (IEEE Trans. Cybern., 2022)

Chance-Constrained Optimization in Contact-rich Systems. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ACC, 2023)

Covariance Steering for Uncertain Contact-rich Systems. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan (ICRA, 2023)

Tactile Tool Manipulation. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Dennis W. Hong (ICRA, 2023)

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (IROS, 2023)

Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. - Mengchao Zhang; Devesh K. Jha; Arvind U. Raghunathan; Kris Hauser (Robotics: Science and Systems, 2023)

Data-Driven Monitoring with Mobile Sensors and Charging Stations Using Multi-Arm Bandits and Coordinated Motion Planners. - Siddharth Nayak; Marcus Greiff; Arvind U. Raghunathan; Stefano Di Cairano; Abraham P. Vinod (ACC, 2024)

Structural Exploitation for the Homogeneous Reformulation of Model Predictive Control Problems. - Jonas Hall; Arvind U. Raghunathan (ECC, 2024)

Coach Reservation for Groups Requests. - Carlos Henrique Cardonha; Arvind U. Raghunathan (CoRR, 2024)

Seamless Multimodal Transportation Scheduling. - Arvind U. Raghunathan; David Bergman; John N. Hooker; Thiago Serra; Shingo Kobori (INFORMS J. Comput., 2024)

Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan (IEEE Trans. Robotics, 2024)

Stability Analysis of Discrete-Time Linear Complementarity Systems. - Arvind U. Raghunathan; Jeffrey T. Linderoth (SIAM J. Optim., 2025)

PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (IEEE Trans Autom. Sci. Eng., 2025)

Simultaneous Trajectory Optimization and Contact Selection for Contact-Rich Manipulation With High-Fidelity Geometry. - Mengchao Zhang; Devesh K. Jha; Arvind U. Raghunathan; Kris Hauser (IEEE Trans. Robotics, 2025)

Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations. - Yuki Shirai; Arvind U. Raghunathan; Devesh K. Jha (CoRR, 2025)