Vedang M. Deshpande

Vedang M. Deshpande
  • 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

  • Internships with Vedang

    • MS0102: Internship - Estimation and Calibration of Multi-physical Systems Using Experiments

      MERL is looking for a highly motivated and qualified candidate to work on estimation and calibration of muti-physical systems governed by differential algebraic equations (DAEs). The research will involve study, development and efficient implementation of estimation/calibration approaches for large-scale nonlinear systems, e.g., vapor compression cycles, with limited experimental data. The ideal candidate will have a strong background in one or multiple of the following topics: nonlinear control and estimation, optimization, and model calibration; with expertise demonstrated via, e.g., peer-reviewed publications. Prior experience in working with experimental data, and programming in Julia/Modelica is a plus. Senior PhD students in mechanical, electrical, chemical engineering or related fields are encouraged to apply. The typical duration of internship is 3 months, and the start date is flexible.

      Required Specific Experience

      • Graduate student with 2+ years of relevant research experience

      Additional Desired Experience

      • Strong programming skills in Julia or Modelica
      • Prior experience in working with thermofluid systems
      • Prior experience in estimation/calibration of complex nonlinear systems using experimental data

      Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

      MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

      Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

    See All Internships at MERL
  • 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}
      • }