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 Papers and Workshops at AAAI 2025
      Date: February 25, 2025 - March 4, 2025
      Where: The Association for the Advancement of Artificial Intelligence (AAAI)
      MERL Contacts: Ankush Chakrabarty; Toshiaki Koike-Akino; Jing Liu; Kuan-Chuan Peng; Diego Romeres; Ye Wang
      Research Areas: Artificial Intelligence, Machine Learning, Optimization
      Brief
      • MERL researchers presented 2 conference papers, 2 workshop papers, and co-organized 1 workshop at the AAAI 2025 conference, which was held in Philadelphia from Feb. 25 to Mar. 4, 2025. AAAI is one of the most prestigious and competitive international conferences in artificial intelligence (AI). Details of MERL contributions are provided below.

        - AAAI Papers in Main Tracks:

        1. "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage" by M.R.U. Rashid, J. Liu, T. Koike-Akino, Y. Wang, and S. Mehnaz. [Oral Presentation]

        This work proposes a novel unlearning-based model poisoning method that amplifies privacy breaches during fine-tuning. Extensive empirical studies show the proposed method’s efficacy on both membership inference and data extraction attacks. The attack is stealthy enough to bypass detection based defenses, and differential privacy cannot effectively defend against the attacks without significantly impacting model utility.

        Paper: https://www.merl.com/publications/TR2025-017

        2. "User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search" by J.H.S. Ip, A. Chakrabarty, A. Mesbah, and D. Romeres. [Poster Presentation]

        This paper introduces a sample-efficient multi-objective Bayesian optimization method that integrates user preferences with gradient-based search to find near-Pareto optimal solutions. The proposed method achieves high utility and reduces distance to Pareto-front solutions across both synthetic and real-world problems, underscoring the importance of minimizing gradient uncertainty during gradient-based optimization. Additionally, the study introduces a novel utility function that respects Pareto dominance and effectively captures diverse user preferences.

        Paper: https://www.merl.com/publications/TR2025-018

        - AAAI Workshop Papers:

        1. "Quantum Diffusion Models for Few-Shot Learning" by R. Wang, Y. Wang, J. Liu, and T. Koike-Akino.

        This work presents the quantum diffusion model (QDM) as an approach to overcome the challenges of quantum few-shot learning (QFSL). It introduces three novel algorithms developed from complementary data-driven and algorithmic perspectives to enhance the performance of QFSL tasks. The extensive experiments demonstrate that these algorithms achieve significant performance gains over traditional baselines, underscoring the potential of QDM to advance QFSL by effectively leveraging quantum noise modeling and label guidance.

        Paper: https://www.merl.com/publications/TR2025-025

        2. "Quantum Implicit Neural Compression", by T. Fujihashi and T., Koike-Akino.

        This work introduces a quantum counterpart of implicit neural representation (quINR) which leverages the exponentially rich expressivity of quantum neural networks to improve the classical INR-based signal compression methods. Evaluations using some benchmark datasets show that the proposed quINR-based compression could improve rate-distortion performance in image compression compared with traditional codecs and classic INR-based coding methods.

        Paper: https://www.merl.com/publications/TR2025-024

        - AAAI Workshops Contributed by MERL:

        1. "Scalable and Efficient Artificial Intelligence Systems (SEAS)"

        K.-C. Peng co-organized this workshop, which offers a timely forum for experts to share their perspectives in designing and developing robust computer vision (CV), machine learning (ML), and artificial intelligence (AI) algorithms, and translating them into real-world solutions.

        Workshop link: https://seasworkshop.github.io/aaai25/index.html

        2. "Quantum Computing and Artificial Intelligence"

        T. Koike-Akino served a session chair of Quantum Neural Network in this workshop, which focuses on seeking contributions encompassing theoretical and applied advances in quantum AI, quantum computing (QC) to enhance classical AI, and classical AI to tackle various aspects of QC.

        Workshop link: https://sites.google.com/view/qcai2025/
    •  
    •  NEWS    MERL researchers present 7 papers at CDC 2024
      Date: December 16, 2024 - December 19, 2024
      Where: Milan, Italy
      MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; James Queeney; Abraham P. Vinod; Avishai Weiss; Gordon Wichern
      Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
      Brief
      • MERL researchers presented 7 papers at the recently concluded Conference on Decision and Control (CDC) 2024 in Milan, Italy. The papers covered a wide range of topics including safety shielding for stochastic model predictive control, reinforcement learning using expert observations, physics-constrained meta learning for positioning, variational-Bayes Kalman filtering, Bayesian measurement masks for GNSS positioning, divert-feasible lunar landing, and centering and stochastic control using constrained zonotopes.

        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, Ankush Chakrabarty (Principal Research Scientist, Multiphysical Systems Team) was an invited speaker in the pre-conference Workshop on "Learning Dynamics From Data" where he gave a talk on few-shot meta-learning for black-box identification using data from similar systems.
    •  

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  • MERL Publications

    •  Chakrabarty, A., Vanfretti, L., Wang, Y., Mineyuki, T., Zhan, S., Tang, W.-T., Paulson, J.A., Deshpande, V.M., Bortoff, S.A., Laughman, C.R., "Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation", Building Simulation, April 2025.
      BibTeX TR2025-043 PDF
      • @article{Chakrabarty2025apr,
      • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Wang, Ye and Mineyuki, Takuma and Zhan, Sicheng and Tang, Wei-Ting and Paulson, Joel A. and Deshpande, Vedang M. and Bortoff, Scott A. and Laughman, Christopher R.},
      • title = {{Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation}},
      • journal = {Building Simulation},
      • year = 2025,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2025-043}
      • }
    •  Shao, K., Chakrabarty, A., Mesbah, A., Romeres, D., "Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine", IEEE Control Systems Letters, February 2025.
      BibTeX TR2025-021 PDF
      • @article{Shao2025feb,
      • author = {Shao, Ketong and Chakrabarty, Ankush and Mesbah, Ali and Romeres, Diego},
      • title = {{Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine}},
      • journal = {IEEE Control Systems Letters},
      • year = 2025,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2025-021}
      • }
    •  Ip, J.H.S., Chakrabarty, A., Mesbah, A., Romeres, D., "User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization", AAAI Conference on Artificial Intelligence, February 2025.
      BibTeX TR2025-018 PDF
      • @inproceedings{Ip2025feb,
      • author = {{{Ip, Joshua Hang Sai and Chakrabarty, Ankush and Mesbah, Ali and Romeres, Diego}}},
      • title = {{{User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization}}},
      • booktitle = {AAAI Conference on Artificial Intelligence},
      • year = 2025,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2025-018}
      • }
    •  Chakrabarty, A., Wichern, G., Deshpande, V.M., Vinod, A.P., Berntorp, K., Laughman, C.R., "Meta-Learning for Physically-Constrained Neural System Identification", arXiv, January 2025.
      BibTeX arXiv
      • @article{Chakrabarty2025jan,
      • author = {Chakrabarty, Ankush and Wichern, Gordon and Deshpande, Vedang M. and Vinod, Abraham P. and Berntorp, Karl and Laughman, Christopher R.},
      • title = {{Meta-Learning for Physically-Constrained Neural System Identification}},
      • journal = {arXiv},
      • year = 2025,
      • month = jan,
      • url = {https://arxiv.org/abs/2501.06167v1}
      • }
    •  Chakrabarty, A., Deshpande, V.M., Wichern, G., Berntorp, K., "Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC56724.2024.10886249, December 2024.
      BibTeX TR2024-180 PDF
      • @inproceedings{Chakrabarty2024dec,
      • author = {Chakrabarty, Ankush and Deshpande, Vedang M. and Wichern, Gordon and Berntorp, Karl},
      • title = {{Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications}},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2024,
      • month = dec,
      • doi = {10.1109/CDC56724.2024.10886249},
      • url = {https://www.merl.com/publications/TR2024-180}
      • }
    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}
      • }

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  • MERL Issued Patents

    • Title: "System and Method for Data-Driven Reference Generation"
      Inventors: Chakrabarty, Ankush; Berntorp, Karl; Di Cairano, Stefano; Wang, Yebin
      Patent No.: 12,246,699
      Issue Date: Mar 11, 2025
    • 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