Shreyas Sundaram

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 169

Top Venues

CoRR

CDC

ACC

IEEE Trans. Control. Netw. Syst.

Publications

Jianwen Li, Hyunsang Park, Wenjian Hao, Lei Xin, Jalil Chavez-Galaviz, Ajinkya Chaudhary, Meredith Bloss, Kyle Pattison, Christopher Vo, Devesh Upadhyay, Shreyas Sundaram, Shaoshuai Mou, Nina Mahmoudian
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles. CoRR (2024)
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
Submodular information selection for hypothesis testing with misclassification penalties. L4DC (2024)
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Haoguang Yang, Aritra Mitra, Yanzhe Cui, Shreyas Sundaram, Xin Ma, Steve Sullivan, Richard M. Voyles
A Human-Augmenting Resource/Performance Co-Design Tool for Real-Time Distributed Control Systems. IEEE Trans. Syst. Man Cybern. Syst. 54 (8) (2024)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Communication-Efficient and Resilient Distributed Q-Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms. CoRR (2024)
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
Submodular Information Selection for Hypothesis Testing with Misclassification Penalties. CoRR (2024)
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries. CoRR (2024)
Tong Yao, Shreyas Sundaram
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption. CoRR (2023)
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub, Pietro Mercati, Shreyas Sundaram
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model. CoRR (2023)
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
Learning Dynamical Systems by Leveraging Data from Similar Systems. CoRR (2023)
Lei Xin, George Chiu, Shreyas Sundaram
Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees. CoRR (2023)
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub, Pietro Mercati, Shreyas Sundaram
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model. ACC (2023)
Baike She, Rebecca Lee Smith, Ian Pytlarz, Shreyas Sundaram, Philip E. Paré
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics. CoRR (2023)
Ahmad Bilal Asghar, Shreyas Sundaram, Stephen L. Smith
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints. CoRR (2023)
Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram, Shaoshuai Mou
An Interleaved Algorithm for Integration of Robotic Task and Motion Planning. ACC (2023)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Algorithms for influence maximization in socio-physical networks. J. Comb. Optim. 45 (1) (2023)
Jiaming Wang, Jiqian Dong, Sikai Chen, Shreyas Sundaram, Samuel Labi
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles. CoRR (2023)
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes. ACC (2023)
Tong Yao, Shreyas Sundaram
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption. CDC (2023)
Kananart Kuwaranancharoen, Shreyas Sundaram
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms. CoRR (2023)
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey. Autom. 157 (2023)
Lei Xin, George Chiu, Shreyas Sundaram
Learning Linearized Models from Nonlinear Systems with Finite Data. CoRR (2023)
Lei Xin, George Chiu, Shreyas Sundaram
Learning Linearized Models from Nonlinear Systems with Finite Data. CDC (2023)
Carolyn L. Beck, Francesco Bullo, Giacomo Como, Kimon Drakopoulos, Dang H. Nguyen, Cameron Nowzari, Victor M. Preciado, Shreyas Sundaram
Special Section on Mathematical Modeling, Analysis, and Control of Epidemics. SIAM J. Control. Optim. 60 (2) (2022)
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems. CoRR (2022)
Amritha Prasad, Jeffrey Hudack, Shaoshuai Mou, Shreyas Sundaram
Policies for risk-aware sensor data collection by mobile agents. Autom. 142 (2022)
Tong Yao, Shreyas Sundaram
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption. CDC (2022)
Baike She, Shreyas Sundaram, Philip E. Paré
Optimal Mitigation of SIR Epidemics Under Model Uncertainty. CoRR (2022)
Tong Yao, Shreyas Sundaram
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption. CoRR (2022)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Optimal Repair Policies for Systems Deteriorating After Disruptions. IEEE Trans. Autom. Control. 67 (7) (2022)
Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
On the computational complexity of the secure state-reconstruction problem. Autom. 136 (2022)
Blake Wilson, Jeffrey Hudack, Shreyas Sundaram
Planning for Package Deliveries in Risky Environments Over Multiple Epochs. ACC (2022)
Baike She, Ji Liu, Shreyas Sundaram, Philip E. Paré
On a Networked SIS Epidemic Model With Cooperative and Antagonistic Opinion Dynamics. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Baike She, Shreyas Sundaram, Philip E. Paré
A Learning-Based Model Predictive Control Framework for Real-Time SIR Epidemic Mitigation. ACC (2022)
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
Identifying the Dynamics of a System by Leveraging Data from Similar Systems. CoRR (2022)
Lei Xin, George Chiu, Shreyas Sundaram
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs. CDC (2022)
Lei Xin, George Chiu, Shreyas Sundaram
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories. ACC (2022)
Shreyas Sundaram, Aritra Mitra
Peer-to-Peer Non-Bayesian Learning in Finite Time with a Finite Amount of Communication. CDC (2022)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed State Estimation Over Time-Varying Graphs: Exploiting the Age-of-Information. IEEE Trans. Autom. Control. 67 (12) (2022)
Lintao Ye, Philip E. Paré, Shreyas Sundaram
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements. SIAM J. Control. Optim. 60 (2) (2022)
Baike She, Shreyas Sundaram, Philip E. Paré
Optimal Mitigation of SIR Epidemics Under Model Uncertainty. CDC (2022)
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
Identifying the Dynamics of a System by Leveraging Data from Similar Systems. ACC (2022)
Lei Xin, George Chiu, Shreyas Sundaram
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs. CoRR (2022)
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi
TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems. IEEE Symposium on Security and Privacy (2022)
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
Resilience for Distributed Consensus with Constraints. CoRR (2022)
Lei Xin, George Chiu, Shreyas Sundaram
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories. CoRR (2022)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Control Policies for Recovery of Interdependent Systems After Disruptions. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Lintao Ye, Aritra Mitra, Shreyas Sundaram
Near-Optimal Data Source Selection for Bayesian Learning. L4DC (2021)
Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada
On the Computational Complexity of the Secure State-Reconstruction Problem. CoRR (2021)
Tong Yao, Shreyas Sundaram
Distributed Estimation of Sparse Inverse Covariances. CDC (2021)
Mustafa Abdallah, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game. CoRR (2021)
Ashish R. Hota, Shreyas Sundaram
Controlling Human Utilization of Failure-Prone Systems via Taxes. IEEE Trans. Autom. Control. 66 (12) (2021)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed Inference With Sparse and Quantized Communication. IEEE Trans. Signal Process. 69 (2021)
Baike She, Humphrey C. H. Leung, Shreyas Sundaram, Philip E. Paré
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics. CoRR (2021)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Towards Resilience for Multi-Agent QD-Learning. CoRR (2021)
Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram, Saurabh Bagchi
HIOA-CPS: Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems. SP Workshops (2021)
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Harikrishnan Sreekumaran, Ashish Ranjan Hota, Andrew L. Liu, Nelson A. Uhan, Shreyas Sundaram
Equilibrium strategies for multiple interdictors on a common network. Eur. J. Oper. Res. 288 (2) (2021)
Mustafa Abdallah, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game. ECC (2021)
Russell Shirey, Sanjay Rao, Shreyas Sundaram
Optimizing Quality of Experience for Long-Range UAS Video Streaming. IWQoS (2021)
Baike She, Ji Liu, Shreyas Sundaram, Philip E. Paré
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics. CoRR (2021)
Russell Shirey, Sanjay Rao, Shreyas Sundaram
Chimera: exploiting UAS flight path information to optimize heterogeneous data transmission. ICNP (2021)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Towards Resilience for Multi-Agent QD-Learning. CDC (2021)
Baike She, Humphrey C. H. Leung, Shreyas Sundaram, Philip E. Paré
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics. CDC (2021)
Tong Yao, Shreyas Sundaram
Distributed Estimation of Sparse Inverse Covariances. CoRR (2021)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Policies for Multi-Agency Recovery of Physical Infrastructure After Disasters. ACC (2021)
Tong Yao, Shreyas Sundaram
Online Estimation of Sparse Inverse Covariances. ACC (2021)
Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering. IEEE Trans. Autom. Control. 66 (5) (2021)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine Resilience. IEEE Trans. Autom. Control. 66 (9) (2021)
Blake Wilson, Jeffrey Hudack, Shreyas Sundaram
Planning for Package Deliveries in Risky Environments Over Multiple Epochs. CoRR (2021)
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems. AsiaCCS (2021)
Lintao Ye, Philip E. Paré, Shreyas Sundaram
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements. CoRR (2021)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Algorithms for Influence Maximization in Socio-Physical Networks. CoRR (2020)
Lintao Ye, Shreyas Sundaram
Distributed Maximization of Submodular and Approximately Submodular Functions. CDC (2020)
Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram, Saurabh Bagchi
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems. CoRR (2020)
Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram
Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. CoRR (2020)
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems. CoRR (2020)
Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian J. Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng, Tiark Rompf, Ashutosh Sabharwal, Shreyas Sundaram, James Weimer, Jennifer Weller
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. CoRR (2020)
Amritha Prasad, Han-Lim Choi, Shreyas Sundaram
Min-Max Tours and Paths for Task Allocation to Heterogeneous Agents. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Lintao Ye, Shreyas Sundaram
Distributed Maximization of Submodular and Approximately Submodular Functions. CoRR (2020)
Shreyas Sundaram, Aritra Mitra
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication. CoRR (2020)
Mustafa Abdallah, Parinaz Naghizadeh, Ashish Ranjan Hota, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
Event-Triggered Distributed Inference. CoRR (2020)
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions. CoRR (2020)
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi
BASCPS: How does behavioral decision making impact the security of cyber-physical systems? CoRR (2020)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Policies for Multi-Agency Recovery of Physical Infrastructure After Disasters. CoRR (2020)
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Control Policies for Recovery of Interdependent Systems After Disruptions. CoRR (2020)
Lintao Ye, Sandip Roy, Shreyas Sundaram
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms. CoRR (2020)
Russell Shirey, Sanjay Rao, Shreyas Sundaram
Measuring fixed wing UAS networks at long range. DroNet@MobiSys (2020)
Lintao Ye, Sandip Roy, Shreyas Sundaram
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram
Event-Triggered Distributed Inference. CDC (2020)
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions. ACC (2020)
Kananart Kuwaranancharoen, Shreyas Sundaram
On the Set of Possible Minimizers of a Sum of Known and Unknown Functions. ACC (2020)
Mustafa Abdallah, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram
The Effect of Behavioral Probability Weighting in a Sequential Defender-Attacker Game. CDC (2020)
Lintao Ye, Aritra Mitra, Shreyas Sundaram
Near-Optimal Data Source Selection for Bayesian Learning. CoRR (2020)
Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering. CoRR (2020)
Mustafa Abdallah, Parinaz Naghizadeh, Ashish Ranjan Hota, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs. CoRR (2020)
Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. CoRR (2020)
Aritra Mitra, John A. Richards, Shreyas Sundaram
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks. CDC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shreyas Sundaram