Vedang M. Deshpande

Phone: 617-621-7548
Email:

Position:
Research / Technical Staff

Visiting Research Scientist
Education:
Ph.D., Texas A&M University, 2022
Research Areas:
External Links:
- Google Scholar

Vedang's Quick Links

Biography
Recent News & Events
MERL Publications
Other Publications

Biography

Vedang's research interests are in nonlinear and robust estimation and control of uncertain dynamic systems. His doctoral research focused on developing theoretical frameworks and algorithms for designing sparse sensing and actuation architectures with optimal instrument precisions. Prior to his doctoral studies, Vedang worked full-time in software verification and validation group at Honeywell Aerospace.
Recent News & Events
- NEWS MERL researchers present 9 papers at ACC 2024
  Date: July 10, 2024 - July 12, 2024
  Where: Toronto, Canada
  MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Christopher R. Laughman; Arvind Raghunathan; Abraham P. Vinod; Yebin Wang; Avishai Weiss
  Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
  Brief
  - MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.
    
    As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
    
    In addition, Abraham Vinod served as a panelist at the Student Networking Event at the conference. The student networking event provides an opportunity for all interested students to network with professionals working in industry, academia, and national laboratories during a structured event, and encourages their continued participation as the future leaders in the field.
- NEWS MERL researchers present 10 papers at the American Control Conference (ACC)
  Date: May 31, 2023 - June 2, 2023
  Where: San Diego, CA
  MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Devesh K. Jha; Christopher R. Laughman; Arvind Raghunathan; Diego Romeres; Abraham P. Vinod; Yebin Wang; Avishai Weiss
  Research Areas: Control, Machine Learning, Optimization
  Brief
  - MERL will present 10 papers at the American Control Conference (ACC) in San Diego, CA, with topics including autonomous-vehicle decision making and control, physics-informed machine learning, motion planning, control subject to nonconvex chance constraints, and optimal power management. Two talks are part of tutorial sessions.
    MERL will also be present at the conference as a sponsor, with a booth for discussing with researchers and students, and hosting a special session at lunch with highlights of MERL research and work philosophy.
MERL Publications
- Bortoff, S.A., Laughman, C.R., Deshpande, V.M., Qiao, H., "Fluid Property Functions in Polar and Parabolic Coordinates", American Modelica Conference, October 2024.
  BibTeX TR2024-144 PDF
  - @inproceedings{Bortoff2024oct,
  - author = {Bortoff, Scott A. and Laughman, Christopher R. and Deshpande, Vedang M. and Qiao, Hongtao}},
  - title = {Fluid Property Functions in Polar and Parabolic Coordinates},
  - booktitle = {American Modelica Conference},
  - year = 2024,
  - month = oct,
  - url = {https://www.merl.com/publications/TR2024-144}
  - }
- Chakrabarty, A., Vanfretti, L., Bortoff, S.A., Deshpande, V.M., Wang, Y., Paulson, J.A., Zhan, S., Laughman, C.R., "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, DOI: 10.1109/CCTA60707.2024.10666585, August 2024.
  BibTeX TR2024-113 PDF
  - @inproceedings{Chakrabarty2024aug,
  - author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.}},
  - title = {Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks},
  - booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
  - year = 2024,
  - month = aug,
  - doi = {10.1109/CCTA60707.2024.10666585},
  - url = {https://www.merl.com/publications/TR2024-113}
  - }
- Laughman, C.R., Deshpande, V.M., Chakrabarty, A., Qiao, H., "Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal", nternational Refrigeration and Air Conditioning Conference at Purdue, July 2024.
  BibTeX TR2024-099 PDF
  - @inproceedings{Laughman2024jul,
  - author = {Laughman, Christopher R. and Deshpande, Vedang M. and Chakrabarty, Ankush and Qiao, Hongtao}},
  - title = {Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal},
  - booktitle = {nternational Refrigeration and Air Conditioning Conference at Purdue},
  - year = 2024,
  - month = jul,
  - url = {https://www.merl.com/publications/TR2024-099}
  - }
- Deshpande, V.M., Chakrabarty, A., Vinod, A.P., Laughman, C.R., "Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States", IEEE Control Systems Letters, DOI: 10.1109/LCSYS.2023.3334959, November 2023.
  BibTeX TR2023-138 PDF
  - @article{Deshpande2023nov,
  - author = {{Deshpande, Vedang M. and Chakrabarty, Ankush and Vinod, Abraham P. and Laughman, Christopher R.}},
  - title = {Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States},
  - journal = {IEEE Control Systems Letters},
  - year = 2023,
  - month = nov,
  - doi = {10.1109/LCSYS.2023.3334959},
  - url = {https://www.merl.com/publications/TR2023-138}
  - }
- Laughman, C.R., Deshpande, V.M., Qiao, H., Bortoff, S.A., Chakrabarty, A., "Digital Twins for Vapor Compression Cycles: Challenges & Opportunities", International Congress of Refrigeration (ICR), DOI: 10.18462/iir.icr.2023.0765, August 2023.
  BibTeX TR2023-103 PDF
  - @inproceedings{Laughman2023aug,
  - author = {Laughman, Christopher R. and Deshpande, Vedang M. and Qiao, Hongtao and Bortoff, Scott A. and Chakrabarty, Ankush},
  - title = {Digital Twins for Vapor Compression Cycles: Challenges & Opportunities},
  - booktitle = {International Congress of Refrigeration (ICR)},
  - year = 2023,
  - month = aug,
  - publisher = {INTERNATIONAL INSTITUTE OF REFRIGERATION},
  - doi = {10.18462/iir.icr.2023.0765},
  - issn = {0151-1637},
  - isbn = {978-2-36215-055-5},
  - url = {https://www.merl.com/publications/TR2023-103}
  - }
See All MERL Publications for Vedang
Other Publications
- Vedang M. Deshpande, Raktim Bhattacharya and Kamesh Subbarao, "Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems", IEEE Control Systems Letters, Vol. 6, pp. 1082-1087, 2022.
  BibTeX
  - @Article{deshpande2022battery,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim and Subbarao, Kamesh},
  - title = {Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems},
  - journal = {IEEE Control Systems Letters},
  - year = 2022,
  - volume = 6,
  - pages = {1082--1087}
  - }
- Vedang M. Deshpande and Raktim Bhattacharya, "Sparse Sensing and Optimal Precision: An Integrated Framework for $H_2/H_infty$ Optimal Observer Design", IEEE Control Systems Letters, Vol. 5, No. 2, pp. 481-486, 2021.
  BibTeX
  - @Article{deshpande2021h2hinf,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Sparse Sensing and Optimal Precision: An Integrated Framework for $H_2/H_infty$ Optimal Observer Design},
  - journal = {IEEE Control Systems Letters},
  - year = 2021,
  - volume = 5,
  - number = 2,
  - pages = {481--486}
  - }
- Vedang M. Deshpande and Raktim Bhattacharya, "Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments", 2021 American Control Conference (ACC), 2021, pp. 1571-1576.
  BibTeX
  - @Inproceedings{deshpande2021multiAgent,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments},
  - booktitle = {2021 American Control Conference (ACC)},
  - year = 2021,
  - pages = {1571--1576}
  - }
- Vedang M. Deshpande and Raktim Bhattacharya, "Sparse Sensing and Optimal Precision: Robust $H_infty$ Optimal Observer Design with Model Uncertainty", 2021 American Control Conference (ACC), 2021, pp. 4105-4110.
  BibTeX
  - @Inproceedings{deshpande2021robustHinf,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Sparse Sensing and Optimal Precision: Robust $H_infty$ Optimal Observer Design with Model Uncertainty},
  - booktitle = {2021 American Control Conference (ACC)},
  - year = 2021,
  - pages = {4105--4110}
  - }
- Vedang M. Deshpande, Raktim Bhattacharya and Diego A. Donzis, "A unified framework to generate optimized compact finite difference schemes", Journal of Computational Physics, Vol. 432, pp. 110157, 2021.
  BibTeX External
  - @Article{deshpande2021unified,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim and Donzis, Diego A.},
  - title = {A unified framework to generate optimized compact finite difference schemes},
  - journal = {Journal of Computational Physics},
  - year = 2021,
  - volume = 432,
  - pages = 110157,
  - url = {https://www.sciencedirect.com/science/article/pii/S0021999121000498}
  - }
- Sunsoo Kim, Vedang M. Deshpande and Raktim Bhattacharya, "Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters", IEEE Control Systems Letters, Vol. 5, No. 1, pp. 295-300, 2021.
  BibTeX
  - @Article{kim2021robustKalman,
  - author = {Kim, Sunsoo and Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters},
  - journal = {IEEE Control Systems Letters},
  - year = 2021,
  - volume = 5,
  - number = 1,
  - pages = {295--300}
  - }
- Vedang M. Deshpande and Raktim Bhattacharya, "Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions", 2020 American Control Conference (ACC), 2020, pp. 4046-4051.
  BibTeX
  - @Inproceedings{deshpande2020maxent,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions},
  - booktitle = {2020 American Control Conference (ACC)},
  - year = 2020,
  - pages = {4046--4051}
  - }
- Vedang M. Deshpande and Raktim Bhattacharya, "Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions", IFAC-PapersOnLine, Vol. 53, No. 2, pp. 7234-7239, 2020.
  BibTeX External
  - @Article{deshpande2020maxentSDE,
  - author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
  - title = {Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions},
  - journal = {IFAC-PapersOnLine},
  - year = 2020,
  - volume = 53,
  - number = 2,
  - pages = {7234--7239},
  - note = {21st IFAC World Congress},
  - url = {https://www.sciencedirect.com/science/article/pii/S2405896320308557}
  - }
- Vedang Deshpande, Niladri Das, Vaishnav Tadiparthi and Raktim Bhattacharya, "On Neural Network Training from Noisy Data using a Novel Filtering Framework", 2020, AIAA Scitech 2020 Forum.
  BibTeX External
  - @Inbook{deshpande2020neural,
  - author = {Deshpande, Vedang and Das, Niladri and Tadiparthi, Vaishnav and Bhattacharya, Raktim},
  - title = {On Neural Network Training from Noisy Data using a Novel Filtering Framework},
  - booktitle = {AIAA Scitech 2020 Forum},
  - year = 2020,
  - url = {https://arc.aiaa.org/doi/abs/10.2514/6.2020-1869}
  - }
- Sunsoo Kim, Vedang Deshpande and Raktim Bhattacharya, "$H_2$ Optimized PID Control of Quad-Copter Platform with Wind Disturbance", 2020 International Conference on Unmanned Aircraft Systems (ICUAS), 2020, pp. 839-844.
  BibTeX
  - @Inproceedings{kim2020h2pid,
  - author = {Kim, Sunsoo and Deshpande, Vedang and Bhattacharya, Raktim},
  - title = {$H_2$ Optimized PID Control of Quad-Copter Platform with Wind Disturbance},
  - booktitle = {2020 International Conference on Unmanned Aircraft Systems (ICUAS)},
  - year = 2020,
  - pages = {839--844}
  - }
- Niladri Das, Vedang Deshpande and Raktim Bhattacharya, "Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station", Journal of Guidance, Control, and Dynamics, Vol. 42, No. 6, pp. 1237-1249, 2019.
  BibTeX External
  - @Article{das2019otTracking,
  - author = {Das, Niladri and Deshpande, Vedang and Bhattacharya, Raktim},
  - title = {Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station},
  - journal = {Journal of Guidance, Control, and Dynamics},
  - year = 2019,
  - volume = 42,
  - number = 6,
  - pages = {1237--1249},
  - url = {https://doi.org/10.2514/1.G003796}
  - }