Ankush Chakrabarty

Ankush Chakrabarty
Ankush's Quick Links

  • Biography

    Ankush works at the confluence of machine learning and automatic control. At Purdue, his doctoral research focused on developing scalable, data-driven methods for simplifying computationally intensive operations encountered in controlling and observing complex, nonlinear systems. Prior to joining MERL, Ankush was a postdoctoral Fellow at Harvard where he designed embedded model predictive controllers and deep learning-assisted control strategies for treating people with type 1 diabetes.

  • 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    Ankush Chakrabarty gave a lecture at UT-Austin's Seminar Series on Occupant-Centric Grid-Interactive Buildings
      Date: March 20, 2024
      Where: Austin, TX
      MERL Contact: Ankush Chakrabarty
      Research Areas: Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization
      Brief
      • Ankush Chakrabarty, Principal Research Scientist in the Multiphysical Systems Team, was invited to speak as a guest lecturer in the seminar series on "Occupant-Centric Grid Interactive Buildings" in the Department of Civil, Architectural and Environmental Engineering (CAEE) at the University of Texas at Austin.

        The talk, entitled "Deep Generative Networks and Fine-Tuning for Net-Zero Energy Buildings" described lessons learned from MERL's recent research on generative models for building simulation and control, along with meta-learning for on-the-fly fine-tuning to adapt and optimize energy expenditure.
    •  

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  • MERL Publications

    •  Vanfretti, L., Laughman, C.R., Chakrabarty, A., "Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation", American Modelica Conference, October 2024.
      BibTeX TR2024-140 PDF
      • @inproceedings{Vanfretti2024oct,
      • author = {Vanfretti, Luigi and Laughman, Christopher R. and Chakrabarty, Ankush}},
      • title = {Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation},
      • booktitle = {American Modelica Conference},
      • year = 2024,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2024-140}
      • }
    •  Yan, J., Chakrabarty, A., Rupenyan, A., Lygeros, J., "MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models", International Conference on Automation Science and Engineering (CASE), August 2024.
      BibTeX TR2024-115 PDF
      • @inproceedings{Yan2024aug,
      • author = {Yan, Jiaqi and Chakrabarty, Ankush and Rupenyan, Alisa and Lygeros, John}},
      • title = {MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models},
      • booktitle = {International Conference on Automation Science and Engineering (CASE)},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-115}
      • }
    •  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}
      • }
    •  Sorouifar, F., Paulson, J.A., Wang, Y., Quirynen, R., Laughman, C.R., Chakrabarty, A., "Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA60707.2024.10666537, August 2024.
      BibTeX TR2024-110 PDF
      • @inproceedings{Sorouifar2024aug,
      • author = {Sorouifar, Farshud and Paulson, Joel A. and Wang, Ye and Quirynen, Rien and Laughman, Christopher R. and Chakrabarty, Ankush}},
      • title = {Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2024,
      • month = aug,
      • doi = {10.1109/CCTA60707.2024.10666537},
      • url = {https://www.merl.com/publications/TR2024-110}
      • }
    •  Safaoui, S., Vinod, A.P., Chakrabarty, A., Quirynen, R., Yoshikawa, N., Di Cairano, S., "Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning", IEEE Transactions on Robotics, DOI: 10.1109/​TRO.2024.3387010, Vol. 40, pp. 2529-2542, July 2024.
      BibTeX TR2024-048 PDF Video
      • @article{Safaoui2024jul,
      • author = {Safaoui, Sleiman and Vinod, Abraham P. and Chakrabarty, Ankush and Quirynen, Rien and Yoshikawa, Nobuyuki and Di Cairano, Stefano},
      • title = {Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning},
      • journal = {IEEE Transactions on Robotics},
      • year = 2024,
      • volume = 40,
      • pages = {2529--2542},
      • month = jul,
      • doi = {10.1109/TRO.2024.3387010},
      • url = {https://www.merl.com/publications/TR2024-048}
      • }
    See All MERL Publications for Ankush

  • Other Publications

    •  Ankush Chakrabarty, Emilia Fridman, Stanisław H Zak and Gregery T Buzzard, "State and unknown input observers for nonlinear systems with delayed measurements", Automatica, Vol. 95, pp. 246-253, 2018.
      BibTeX
      • @Article{aachakrabarty2018state,
      • author = {Chakrabarty, Ankush and Fridman, Emilia and Zak, Stanislaw H and Buzzard, Gregery T},
      • title = {State and unknown input observers for nonlinear systems with delayed measurements},
      • journal = {Automatica},
      • year = 2018,
      • volume = 95,
      • pages = {246--253},
      • publisher = {Pergamon}
      • }
    •  Olivia Choudhury, Ankush Chakrabarty and Scott J. Emrich, "HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning", Nature Scientific Reports, Vol. 8, No. 1, pp. 9936, 2018.
      BibTeX
      • @Article{aachoudhury2018hecil,
      • author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J.},
      • title = {HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning},
      • journal = {Nature Scientific Reports},
      • year = 2018,
      • volume = 8,
      • number = 1,
      • pages = 9936,
      • publisher = {Springer}
      • }
    •  John H Abel, Ankush Chakrabarty and Francis J Doyle, "Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators" in Emerging Applications of Control and Systems Theory, pp. 123-138, Springer, Cham, 2018.
      BibTeX
      • @Incollection{abel2018controlling,
      • author = {Abel, John H and Chakrabarty, Ankush and Doyle, Francis J},
      • title = {Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators},
      • booktitle = {Emerging Applications of Control and Systems Theory},
      • year = 2018,
      • pages = {123--138},
      • publisher = {Springer, Cham}
      • }
    •  Ankush Chakrabarty, Francis J. Doyle III and Eyal Dassau, "Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems", American Control Conference (ACC), 2018, pp. 3564-3570.
      BibTeX
      • @Inproceedings{chakrabarty2018deep,
      • author = {Chakrabarty, Ankush and Doyle III, Francis J. and Dassau, Eyal},
      • title = {Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems},
      • booktitle = {American Control Conference (ACC)},
      • year = 2018,
      • pages = {3564--3570}
      • }
    •  Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Event-triggered model predictive control for embedded artificial pancreas systems", IEEE Transactions on Biomedical Engineering, Vol. 65, No. 3, pp. 575-586, 2018.
      BibTeX
      • @Article{chakrabarty2018event,
      • author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
      • title = {Event-triggered model predictive control for embedded artificial pancreas systems},
      • journal = {IEEE Transactions on Biomedical Engineering},
      • year = 2018,
      • volume = 65,
      • number = 3,
      • pages = {575--586},
      • publisher = {IEEE}
      • }
    •  Scott C Johnson, Ankush Chakrabarty, Jianghai Hu, Stanisław H Zak and Raymond A DeCarlo, "Dual-mode robust fault estimation for switched linear systems with state jumps", Nonlinear Analysis: Hybrid Systems, Vol. 27, pp. 125-140, 2018.
      BibTeX
      • @Article{johnson2018dual,
      • author = {Johnson, Scott C and Chakrabarty, Ankush and Hu, Jianghai and Zak, Stanislaw H and DeCarlo, Raymond A},
      • title = {Dual-mode robust fault estimation for switched linear systems with state jumps},
      • journal = {Nonlinear Analysis: Hybrid Systems},
      • year = 2018,
      • volume = 27,
      • pages = {125--140},
      • publisher = {Elsevier}
      • }
    •  John H Abel, Ankush Chakrabarty and Francis J Doyle III, "Nonlinear model predictive control for circadian entrainment using small-molecule pharmaceuticals", IFAC-PapersOnLine, Vol. 50, No. 1, pp. 9864-9870, 2017.
      BibTeX
      • @Article{abel2017nonlinear,
      • author = {Abel, John H and Chakrabarty, Ankush and Doyle III, Francis J},
      • title = {Nonlinear model predictive control for circadian entrainment using small-molecule pharmaceuticals},
      • journal = {IFAC-PapersOnLine},
      • year = 2017,
      • volume = 50,
      • number = 1,
      • pages = {9864--9870},
      • publisher = {Elsevier}
      • }
    •  Ankush Chakrabarty, Raid Ayoub, Stanisław H Zak and Shreyas Sundaram, "Delayed unknown input observers for discrete-time linear systems with guaranteed performance", Systems & Control Letters, Vol. 103, pp. 9-15, 2017.
      BibTeX
      • @Article{chakrabarty2017delayed,
      • author = {Chakrabarty, Ankush and Ayoub, Raid and Zak, Stanislaw H and Sundaram, Shreyas},
      • title = {Delayed unknown input observers for discrete-time linear systems with guaranteed performance},
      • journal = {Systems \& Control Letters},
      • year = 2017,
      • volume = 103,
      • pages = {9--15},
      • publisher = {North-Holland}
      • }
    •  Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Model predictive control with event-triggered communication for an embedded artificial pancreas", Control Technology and Applications (CCTA), 2017 IEEE Conference on, 2017, pp. 536-541.
      BibTeX
      • @Inproceedings{chakrabarty2017model,
      • author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
      • title = {Model predictive control with event-triggered communication for an embedded artificial pancreas},
      • booktitle = {Control Technology and Applications (CCTA), 2017 IEEE Conference on},
      • year = 2017,
      • pages = {536--541},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Gregery T Buzzard and Stanisław H Zak, "Output-tracking quantized explicit nonlinear model predictive control using multiclass support vector machines", IEEE Transactions on Industrial Electronics, Vol. 64, No. 5, pp. 4130-4138, 2017.
      BibTeX
      • @Article{chakrabarty2017output,
      • author = {Chakrabarty, Ankush and Buzzard, Gregery T and Zak, Stanislaw H},
      • title = {Output-tracking quantized explicit nonlinear model predictive control using multiclass support vector machines},
      • journal = {IEEE Transactions on Industrial Electronics},
      • year = 2017,
      • volume = 64,
      • number = 5,
      • pages = {4130--4138},
      • publisher = {IEEE}
      • }
    •  Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Reducing controller updates via event-triggered model predictive control in an embedded artificial pancreas", American Control Conference (ACC), 2017, 2017, pp. 134-139.
      BibTeX
      • @Inproceedings{chakrabarty2017reducing,
      • author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
      • title = {Reducing controller updates via event-triggered model predictive control in an embedded artificial pancreas},
      • booktitle = {American Control Conference (ACC), 2017},
      • year = 2017,
      • pages = {134--139},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Martin J Corless, Gregery T Buzzard, Stanisław H Zak and Ann E Rundell, "State and unknown input observers for nonlinear systems with bounded exogenous inputs", IEEE Transactions on Automatic Control, Vol. 62, No. 11, pp. 5497-5510, 2017.
      BibTeX
      • @Article{chakrabarty2017state,
      • author = {Chakrabarty, Ankush and Corless, Martin J and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
      • title = {State and unknown input observers for nonlinear systems with bounded exogenous inputs},
      • journal = {IEEE Transactions on Automatic Control},
      • year = 2017,
      • volume = 62,
      • number = 11,
      • pages = {5497--5510},
      • publisher = {IEEE}
      • }
    •  Ankush Chakrabarty, Vu Dinh, Martin Corless, Ann E Rundell, Stanislaw H Zak and Gregery T Buzzard, "Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences", IEEE Transactions on Automatic Control, Vol. 62, No. 1, pp. 135-148, 2017.
      BibTeX
      • @Article{chakrabarty2017support,
      • author = {Chakrabarty, Ankush and Dinh, Vu and Corless, Martin and Rundell, Ann E and Zak, Stanislaw H and Buzzard, Gregery T},
      • title = {Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences},
      • journal = {IEEE Transactions on Automatic Control},
      • year = 2017,
      • volume = 62,
      • number = 1,
      • pages = {135--148},
      • publisher = {IEEE}
      • }
    •  Olivia Choudhury, Ankush Chakrabarty and Scott J Emrich, "Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation", IEEE/ACM transactions on computational biology and bioinformatics, 2017.
      BibTeX
      • @Article{choudhury2017highly,
      • author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J},
      • title = {Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation},
      • journal = {IEEE/ACM transactions on computational biology and bioinformatics},
      • year = 2017,
      • publisher = {IEEE}
      • }
    •  Eyal Dassau, Eric Renard, Jérôme Place, Anne Farret, Marie-José Pelletier, Justin Lee, Lauren M Huyett, Ankush Chakrabarty, Francis J Doyle III and Howard C Zisser, "Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control-based fully-automated artificial pancreas in patients with type 1 diabetes: a pilot study", Diabetes, Obesity and Metabolism, Vol. 19, No. 12, pp. 1698-1705, 2017.
      BibTeX
      • @Article{dassau2017intraperitoneal,
      • author = {Dassau, Eyal and Renard, Eric and Place, Jerome and Farret, Anne and Pelletier, Marie-Jose and Lee, Justin and Huyett, Lauren M and Chakrabarty, Ankush and Doyle III, Francis J and Zisser, Howard C},
      • title = {Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control-based fully-automated artificial pancreas in patients with type 1 diabetes: a pilot study},
      • journal = {Diabetes, Obesity and Metabolism},
      • year = 2017,
      • volume = 19,
      • number = 12,
      • pages = {1698--1705},
      • publisher = {Blackwell Publishing Ltd Oxford, UK}
      • }
    •  Arnab Raha, Ankush Chakrabarty, Vijay Raghunathan and Gregery T Buzzard, "Ultrafast embedded explicit model predictive control for nonlinear systems", American Control Conference (ACC), 2017, 2017, pp. 4398-4403.
      BibTeX
      • @Inproceedings{raha2017ultrafast,
      • author = {Raha, Arnab and Chakrabarty, Ankush and Raghunathan, Vijay and Buzzard, Gregery T},
      • title = {Ultrafast embedded explicit model predictive control for nonlinear systems},
      • booktitle = {American Control Conference (ACC), 2017},
      • year = 2017,
      • pages = {4398--4403},
      • organization = {IEEE}
      • }
    •  Stanisław H Zak, Ankush Chakrabarty and Gregery T Buzzard, "Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices", American Control Conference (ACC), 2017, 2017, pp. 3270-3275.
      BibTeX
      • @Inproceedings{zak2017robust,
      • author = {Zak, Stanislaw H and Chakrabarty, Ankush and Buzzard, Gregery T},
      • title = {Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices},
      • booktitle = {American Control Conference (ACC), 2017},
      • year = 2017,
      • pages = {3270--3275},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Shreyas Sundaram, Martin J. Corless, Gregery T. Buzzard, Stanislaw H. Zak and Ann E. Rundell, "Distributed unknown input observers for interconnected nonlinear systems", 2016 American Control Conference (ACC), 2016, pp. 2478-2483.
      BibTeX
      • @Inproceedings{chakrabarty2016distributed,
      • author = {Chakrabarty, Ankush and Sundaram, Shreyas and Corless, Martin J. and Buzzard, Gregery T. and Zak, Stanislaw H. and Rundell, Ann E.},
      • title = {Distributed unknown input observers for interconnected nonlinear systems},
      • booktitle = {2016 American Control Conference (ACC)},
      • year = 2016,
      • pages = {2478--2483},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Stanisław H Zak and Shreyas Sundaram, "State and unknown input observers for discrete-time nonlinear systems", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 7111-7116.
      BibTeX
      • @Inproceedings{chakrabarty2016state,
      • author = {Chakrabarty, Ankush and Zak, Stanislaw H and Sundaram, Shreyas},
      • title = {State and unknown input observers for discrete-time nonlinear systems},
      • booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
      • year = 2016,
      • pages = {7111--7116},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Martin J Corless, Gregery T Buzzard, Stanisław H Zak and Ann E Rundell, "Sufficient Conditions For Exogenous Input Estimation In Nonlinear Systems", 2016 American Control Conference (ACC), 2016, pp. 103-108.
      BibTeX
      • @Inproceedings{chakrabarty2016sufficient,
      • author = {Chakrabarty, Ankush and Corless, Martin J and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
      • title = {Sufficient Conditions For Exogenous Input Estimation In Nonlinear Systems},
      • booktitle = {2016 American Control Conference (ACC)},
      • year = 2016,
      • pages = {103--108}
      • }
    •  Ankush Chakrabarty, Gregery T Buzzard, Emilia Fridman and Stanisław H Zak, "Unknown input estimation via observers for nonlinear systems with measurement delays", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 2308-2313.
      BibTeX
      • @Inproceedings{chakrabarty2016unknown,
      • author = {Chakrabarty, Ankush and Buzzard, Gregery T and Fridman, Emilia and Zak, Stanislaw H},
      • title = {Unknown input estimation via observers for nonlinear systems with measurement delays},
      • booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
      • year = 2016,
      • pages = {2308--2313},
      • organization = {IEEE}
      • }
    •  Olivia Choudhury, Ankush Chakrabarty and Scott J Emrich, "HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data", Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2016, pp. 78-87.
      BibTeX
      • @Inproceedings{choudhury2016hapi,
      • author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J},
      • title = {HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data},
      • booktitle = {Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics},
      • year = 2016,
      • pages = {78--87},
      • organization = {ACM}
      • }
    •  Xiaohang Li, Fanglai Zhu, Ankush Chakrabarty and Stanislaw H Zak, "Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems", IEEE Transactions on Fuzzy Systems, Vol. 24, No. 6, pp. 1679-1689, 2016.
      BibTeX
      • @Article{li2016non,
      • author = {Li, Xiaohang and Zhu, Fanglai and Chakrabarty, Ankush and Zak, Stanislaw H},
      • title = {Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems},
      • journal = {IEEE Transactions on Fuzzy Systems},
      • year = 2016,
      • volume = 24,
      • number = 6,
      • pages = {1679--1689},
      • publisher = {IEEE}
      • }
    •  Stamatina Zavitsanou, Ankush Chakrabarty, Eyal Dassau and Francis J. Doyle III, "Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas", Processes, Vol. 4, No. 4, pp. 35, 2016.
      BibTeX
      • @Article{zavitsanou2016embedded,
      • author = {Zavitsanou, Stamatina and Chakrabarty, Ankush and Dassau, Eyal and Doyle III, Francis J.},
      • title = {Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas},
      • journal = {Processes},
      • year = 2016,
      • volume = 4,
      • number = 4,
      • pages = 35,
      • publisher = {MDPI}
      • }
    •  Haotian Zhang, Ankush Chakrabarty, Raid Ayoub, Gregery T Buzzard and Shreyas Sundaram, "Sampling-based explicit nonlinear model predictive control for output tracking", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 4722-4727.
      BibTeX
      • @Inproceedings{zhang2016sampling,
      • author = {Zhang, Haotian and Chakrabarty, Ankush and Ayoub, Raid and Buzzard, Gregery T and Sundaram, Shreyas},
      • title = {Sampling-based explicit nonlinear model predictive control for output tracking},
      • booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
      • year = 2016,
      • pages = {4722--4727},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Gregery T Buzzard, Martin J Corless, Stanisław H Zak and Ann E Rundell, "Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control", Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014, pp. 3426-3429.
      BibTeX
      • @Inproceedings{chakrabarty2014correcting,
      • author = {Chakrabarty, Ankush and Buzzard, Gregery T and Corless, Martin J and Zak, Stanislaw H and Rundell, Ann E},
      • title = {Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control},
      • booktitle = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
      • year = 2014,
      • pages = {3426--3429},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Vu C Dinh, Gregery T Buzzard, Stanislaw H Zak and Ann E Rundell, "Robust explicit nonlinear model predictive control with integral sliding mode.", ACC, 2014, pp. 2851-2856.
      BibTeX
      • @Inproceedings{chakrabarty2014robust,
      • author = {Chakrabarty, Ankush and Dinh, Vu C and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
      • title = {Robust explicit nonlinear model predictive control with integral sliding mode.},
      • booktitle = {ACC},
      • year = 2014,
      • pages = {2851--2856}
      • }
    •  Ankush Chakrabarty, Suvadeep Banerjee, Sayan Maity and Amitava Chatterjee, "Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms", Measurement, Vol. 46, No. 4, pp. 1616-1629, 2013.
      BibTeX
      • @Article{chakrabarty2013fuzzy,
      • author = {Chakrabarty, Ankush and Banerjee, Suvadeep and Maity, Sayan and Chatterjee, Amitava},
      • title = {Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms},
      • journal = {Measurement},
      • year = 2013,
      • volume = 46,
      • number = 4,
      • pages = {1616--1629},
      • publisher = {Elsevier}
      • }
    •  Ankush Chakrabarty, Gregery T Buzzard and Ann E Rundell, "Model-based design of experiments for cellular processes", Wiley Interdisciplinary Reviews: Systems Biology and Medicine, Vol. 5, No. 2, pp. 181-203, 2013.
      BibTeX
      • @Article{chakrabarty2013model,
      • author = {Chakrabarty, Ankush and Buzzard, Gregery T and Rundell, Ann E},
      • title = {Model-based design of experiments for cellular processes},
      • journal = {Wiley Interdisciplinary Reviews: Systems Biology and Medicine},
      • year = 2013,
      • volume = 5,
      • number = 2,
      • pages = {181--203},
      • publisher = {John Wiley \& Sons, Inc. Hoboken, USA}
      • }
    •  Ankush Chakrabarty, Serena M Pearce, Robert P Nelson and Ann E Rundell, "Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies", American Control Conference (ACC), 2013, 2013, pp. 3790-3795.
      BibTeX
      • @Inproceedings{chakrabarty2013treating,
      • author = {Chakrabarty, Ankush and Pearce, Serena M and Nelson, Robert P and Rundell, Ann E},
      • title = {Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies},
      • booktitle = {American Control Conference (ACC), 2013},
      • year = 2013,
      • pages = {3790--3795},
      • organization = {IEEE}
      • }
    •  Ankush Chakrabarty, Harsh Jain and Amitava Chatterjee, "Volterra kernel based face recognition using artificial bee colonyoptimization", Engineering Applications of Artificial Intelligence, Vol. 26, No. 3, pp. 1107-1114, 2013.
      BibTeX
      • @Article{chakrabarty2013volterra,
      • author = {Chakrabarty, Ankush and Jain, Harsh and Chatterjee, Amitava},
      • title = {Volterra kernel based face recognition using artificial bee colonyoptimization},
      • journal = {Engineering Applications of Artificial Intelligence},
      • year = 2013,
      • volume = 26,
      • number = 3,
      • pages = {1107--1114},
      • publisher = {Pergamon}
      • }
    •  Namrata Tomar, Olivia Choudhury, Ankush Chakrabarty and Rajat K De, "An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach", Molecular biology reports, Vol. 40, No. 2, pp. 1103-1125, 2013.
      BibTeX
      • @Article{tomar2013integrated,
      • author = {Tomar, Namrata and Choudhury, Olivia and Chakrabarty, Ankush and De, Rajat K},
      • title = {An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach},
      • journal = {Molecular biology reports},
      • year = 2013,
      • volume = 40,
      • number = 2,
      • pages = {1103--1125},
      • publisher = {Springer Netherlands}
      • }
    •  Ankush Chakrabarty, Olivia Choudhury, Pallab Sarkar, Avishek Paul and Debarghya Sarkar, "Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting", Artificial Intelligence Research, Vol. 1, No. 1, pp. 63, 2012.
      BibTeX
      • @Article{chakrabarty2012hyperspectral,
      • author = {Chakrabarty, Ankush and Choudhury, Olivia and Sarkar, Pallab and Paul, Avishek and Sarkar, Debarghya},
      • title = {Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting},
      • journal = {Artificial Intelligence Research},
      • year = 2012,
      • volume = 1,
      • number = 1,
      • pages = 63
      • }
    •  Suvadeep Banerjee, Ankush Chakrabarty, Sayan Maity and Amitava Chatterjee, "Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation", Applied Soft Computing, Vol. 11, No. 4, pp. 3441-3450, 2011.
      BibTeX
      • @Article{banerjee2011feedback,
      • author = {Banerjee, Suvadeep and Chakrabarty, Ankush and Maity, Sayan and Chatterjee, Amitava},
      • title = {Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation},
      • journal = {Applied Soft Computing},
      • year = 2011,
      • volume = 11,
      • number = 4,
      • pages = {3441--3450},
      • publisher = {Elsevier}
      • }

  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Polytopic Policy Optimization for Robust Feedback Control During Learning"
      Inventors: Jha, Devesh; Chakrabarty, Ankush
      Patent No.: 12,124,230
      Issue Date: Oct 22, 2024
    • Title: "Controller for Optimizing Motion Trajectory to Control Motion of One or More Devices"
      Inventors: Di Cairano, Stefano; Chakrabarty, Ankush; Quirynen, Rien; Srinivasan, Mohit; Yoshikawa, Nobuyuki; Mariyama, Toshisada
      Patent No.: 12,061,474
      Issue Date: Aug 13, 2024
    • Title: "System and Method for Detecting and Correcting Laser-Cutting Distortion"
      Inventors: Vetterling, William; Thornton, Jay E.; Chakrabarty, Ankush; Goldsmith, Abraham M.
      Patent No.: 12,059,751
      Issue Date: Aug 13, 2024
    • Title: "Method and System for Detecting Anomalous Sound"
      Inventors: Wichern, Gordon P; Chakrabarty, Ankush; Wang, Zhongqiu; Le Roux, Jonathan
      Patent No.: 11,978,476
      Issue Date: May 7, 2024
    • Title: "Extremum Seeking Control System and a Method for Controlling a System"
      Inventors: Danielson, Claus; Chakrabarty, Ankush
      Patent No.: 11,899,409
      Issue Date: Feb 13, 2024
    • Title: "Apparatus and Method for Control with Data-Driven Model Adaptation"
      Inventors: Benosman, Mouhacine; Chakrabarty, Ankush; Nabi, Saleh
      Patent No.: 11,840,224
      Issue Date: Dec 12, 2023
    • Title: "Controlling Thermal State of Conditioned Environment Based on Multivariable Optimization"
      Inventors: Nabi, Saleh; Chakrabarty, Ankush; Benosman, Mouhacine; VijayShankar, Sanjana
      Patent No.: 11,808,472
      Issue Date: Nov 7, 2023
    • Title: "System and Method for Adaptive Control of Vehicle Dynamics"
      Inventors: Berntorp, Karl; Chakrabarty, Ankush; Di Cairano, Stefano
      Patent No.: 11,679,759
      Issue Date: Jun 20, 2023
    • Title: "Controlling Vapor Compression System Using Probabilistic Surrogate Model"
      Inventors: Chakrabarty, Ankush; Laughman, Christopher; Bortoff, Scott A.
      Patent No.: 11,573,023
      Issue Date: Feb 7, 2023
    • Title: "Control of Autonomous Vehicles Adaptive to User Driving Preferences"
      Inventors: Kalabic, Uros; Chakrabarty, Ankush; Di Cairano, Stefano
      Patent No.: 11,548,520
      Issue Date: Jan 10, 2023
    • Title: "Extremum Seeking Control with Stochastic Gradient Estimation"
      Inventors: Chakrabarty, Ankush; Danielson, Claus; Bortoff, Scott A.; Laughman, Christopher
      Patent No.: 11,467,544
      Issue Date: Oct 11, 2022
    • Title: "System and Method for Feasibly Positioning Servomotors with Unmodeled Dynamics"
      Inventors: Chakrabarty, Ankush; Danielson, Claus; Wang, Yebin
      Patent No.: 11,392,104
      Issue Date: Jul 19, 2022
    • Title: "System and Method for Data-Driven Control of Constrained System"
      Inventors: Chakrabarty, Ankush; Quirynen, Rien; Danielson, Claus; Gao, Weinan
      Patent No.: 11,106,189
      Issue Date: Aug 31, 2021
    • Title: "Network Adapted Control System"
      Inventors: Guo, Jianlin; Ma, Yehan; Wang, Yebin; Chakrabarty, Ankush; Ahn, Heejin; Orlik, Philip V.
      Patent No.: 10,969,767
      Issue Date: Apr 6, 2021
    • Title: "System and Method for Control Constrained Operation of Machine with Partially Unmodeled Dynamics Using Lipschitz Constant"
      Inventors: Chakrabarty, Ankush; Jha, Devesh; Wang, Yebin
      Patent No.: 10,895,854
      Issue Date: Jan 19, 2021
    See All Patents for MERL