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USD 50 /hr
Hire Dr. VENKATRAMAN R.
United Kingdom
USD 50 /hr

Control Theorist Working on Risk-Aware AI for Multi-Agent Systems

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing, Business & Legal Writing, General Proofreading & Editing
Research Feasibility Study, Gap Analysis, Scientific and Technical Research, Systematic Literature Review
Consulting Scientific and Technical Consulting, Regulatory Consulting
Data & AI Predictive Modeling, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization
Product Development Formulation
Work Experience

Lecturer

Cranfield University

August 2024 - Present

Postdoctoral Fellow

Lund University

August 2021 - August 2024

Software Engineer

Aspire Systems

June 2011 - September 2012

Education

PhD (Mechanical Engineering)

The University of Texas at Dallas

August 2016 - June 2021

MS (Electrical Engineering)

Arizona State University

August 2013 - July 2016

BE (Electrical and Electronics Engineering)

Government College of Technology

July 2007 - May 2011

Certifications
Publications
JOURNAL ARTICLE
Venkatraman Renganathan, Soham Ghosh (2026). Probabilistic Assume–Guarantee Contracts for Islanded Mission-Critical Power System Operations . Electronics.
Venkatraman Renganathan, Soham Ghosh (2026). Probabilistic Assume–Guarantee Contracts for Islanded Mission-Critical Power System Operations . Electronics.
Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler Summers (2023). Risk bounded nonlinear robot motion planning with integrated perception & control . Artificial Intelligence.
Renganathan, V., Safaoui, S., Kothari, A., Gravell, B., Shames, I., Summers, T.(2023). Risk bounded nonlinear robot motion planning with integrated perception & control . Artificial Intelligence. 314.
Venkatraman Renganathan, Kaveh Fathian, Sleiman Safaoui, Tyler Summers(2022). Spoof Resilient Coordination in Distributed and Robust Robotic Networks . IEEE Transactions on Control Systems Technology. 30. (2). p. 803--810. Institute of Electrical and Electronics Engineers ({IEEE})
Renganathan, V., Gravell, B.J., Ruths, J., Summers, T.H.(2022). Anomaly Detection under Multiplicative Noise Model Uncertainty . IEEE Control Systems Letters. 6. p. 1873-1878.
Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers(2022). Anomaly Detection Under Multiplicative Noise Model Uncertainty . IEEE Control Systems Letters. 6. p. 1873--1878. Institute of Electrical and Electronics Engineers ({IEEE})
Renganathan, V., Hashemi, N., Ruths, J., Summers, T.H.(2022). Higher-Order Moment-Based Anomaly Detection . IEEE Control Systems Letters. 6. p. 211-216.
Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers(2022). Higher-Order Moment-Based Anomaly Detection . IEEE Control Systems Letters. 6. p. 211--216. Institute of Electrical and Electronics Engineers ({IEEE})
Renganathan, V., Fathian, K., Safaoui, S., Summers, T.(2022). Spoof Resilient Coordination in Distributed and Robust Robotic Networks . IEEE Transactions on Control Systems Technology. 30. (2). p. 803-810.
OTHER
Banse, A., Renganathan, V., Jungers, R.M.(2024). A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning . arXiv.
Renganathan, V., Iannelli, A., Rantzer, A.(2023). An Online Learning Analysis of Minimax Adaptive Control . arXiv.
Renganathan, V., Rantzer, A., Kjellqvist, O.(2023). Distributed Adaptive Control For Uncertain Networks . arXiv.
Pfefferkorn, M., Renganathan, V., Findeisen, R.(2023). Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control . arXiv.
Renganathan, V., Pilipovsky, J., Tsiotras, P.(2022). Distributionally Robust Covariance Steering with Optimal Risk Allocation . arXiv.
Renganathan, V., Rantzer, A., Kjellqvist, O.(2022). Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems . arXiv.
Ekenberg, K., Renganathan, V., Olofsson, B.(2022). Distributionally Robust RRT with Risk Allocation . arXiv.
Renganathan, V., Fontan, A., Ganapathy, K.(2022). History Data Driven Distributed Consensus in Networks . arXiv.
Jouini, T., Sun, Z., Renganathan, V.(2022). Leveraging second-order information for tuning of inverse optimal controllers . arXiv.
Alptürk, C., Renganathan, V.(2022). Path Planning Using Wassertein Distributionally Robust Deep Q-learning . arXiv.
Renganathan, V., Wu, D.(2022). Regret Analysis for Risk-aware Linear Quadratic Control . arXiv.
Renganathan, V., Safaoui, S., Kothari, A., Gravell, B., Shames, I., Summers, T.(2022). Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control . arXiv.
Renganathan, V., Gravell, B.J., Ruths, J., Summers, T.H.(2021). Anomaly Detection under Multiplicative Noise Model Uncertainty . arXiv.
Safaoui, S., Gravell, B.J., Renganathan, V., Summers, T.H.(2021). Risk-averse RRT* planning with nonlinear steering and tracking controllers for nonlinear robotic systems under uncertainty . arXiv.
Renganathan, V., Hashemi, N., Ruths, J., Summers, T.H.(2020). Higher-order moment-based anomaly detection . arXiv.
Renganathan, V., Shames, I., Summers, T.H.(2020). Towards integrated perception and motion planning with distributionally robust risk constraints . arXiv.
Renganathan, V., Hashemi, N., Ruths, J., Summers, T.H.(2019). Distributionally robust tuning of anomaly detectors in cyber-physical systems with stealthy attacks . arXiv.
CONFERENCE PAPER
Renganathan, V., Rantzer, A., Kjellqvist, O.(2024). Distributed Adaptive Control For Uncertain Networks . 2024 European Control Conference, ECC 2024. p. 1789-1794.
Pfefferkorn, M., Renganathan, V., Findeisen, R.(2024). Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control . Proceedings of the American Control Conference. p. 3251-3257.
Renganathan, V., Iannelli, A., Rantzer, A.(2023). An Online Learning Analysis of Minimax Adaptive Control . Proceedings of the IEEE Conference on Decision and Control. p. 1034-1039.
Renganathan, V., Pilipovsky, J., Tsiotras, P.(2023). Distributionally Robust Covariance Steering with Optimal Risk Allocation . Proceedings of the American Control Conference. 2023-May. p. 2607-2614.
Ekenberg, K., Renganathan, V., Olofsson, B.(2023). Distributionally Robust RRT with Risk Allocation . Proceedings - IEEE International Conference on Robotics and Automation. 2023-May. p. 12693-12699.
Jouini, T.K., Sun, Z., Renganathan, V., Hagenmeyer, V.(2023). Input and state constrained inverse optimal control with application to power networks . IFAC-PapersOnLine. 56. (2). p. 5451-5456.
Alpturk, C., Renganathan, V.(2023). Path Planning Using Wasserstein Distributionally Robust Deep Q-learning . 2023 European Control Conference, ECC 2023.
Safaoui, S., Gravell, B.J., Renganathan, V., Summers, T.H.(2021). Risk-Averse RRT∗ Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems under Uncertainty . IEEE International Conference on Intelligent Robots and Systems. p. 3681-3688.
Renganathan, V., Hashemi, N., Ruths, J., Summers, T.H.(2020). Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks . Proceedings of the American Control Conference. 2020-July. p. 1247-1252.
Raghuraman, V., Renganathan, V., Summers, T.H., Koeln, J.P.(2020). Hierarchical MPC with Coordinating Terminal Costs . Proceedings of the American Control Conference. 2020-July. p. 4126-4133.
Renganathan, V., Shames, I., Summers, T.H.(2020). Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints . IFAC-PapersOnLine. 53. (2). p. 15530-15536.
Renganathan, V., Summers, T.(2017). Spoof resilient coordination for distributed multi-robot systems . 2017 International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2017. 2018-January. p. 135-141.