Ankush Chakrabarty

- Phone: 617-621-7597
- Email:
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Position:
Research / Technical Staff
Principal Research Scientist -
Education:
Ph.D., Purdue University, 2016 -
Research Areas:
External Links:
Ankush's Quick Links
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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.
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Recent News & Events
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NEWS MERL presents 9 papers at 2023 IFAC World Congress Date: July 9, 2023 - July 14, 2023
MERL Contacts: Karl Berntorp; Scott A. Bortoff; Ankush Chakrabarty; Stefano Di Cairano; Christopher R. Laughman; Diego Romeres; Abraham P. Vinod
Research Areas: Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researchers presented 9 papers and organized 2 invited/workshop sessions at the 2023 IFAC World Congress held in Yokohama, JP.
MERL's contributions covered topics including decision-making for autonomous vehicles, statistical and learning-based estimation for GNSS and energy systems, impedance control for delta robots, learning for system identification of rigid body dynamics and time-varying systems, and meta-learning for deep state-space modeling using data from similar systems. The invited session (MERL co-organizer: Ankush Chakrabarty) was on the topic of “Estimation and observer design: theory and applications” and the workshop (MERL co-organizer: Karl Berntorp) was on “Gaussian Process Learning for Systems and Control”.
- MERL researchers presented 9 papers and organized 2 invited/workshop sessions at the 2023 IFAC World Congress held in Yokohama, JP.
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NEWS Ankush Chakrabarty co-organized three sessions at the ACC2023, and was nominated for Best Energy Systems Paper. Date: June 30, 2023 - June 2, 2023
Where: San Diego, CA
MERL Contact: Ankush Chakrabarty
Research Areas: Applied Physics, Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- Ankush Chakrabarty (researcher, Multiphysical Systems Team) co-organized and spoke at 3 sessions at the 2023 American Control Conference in San Diego, CA. These include: (1) A tutorial session (w/ Stefano Di Cairano) on "Physics Informed Machine Learning for Modeling and Control": an effort with contributions from multiple academic institutes and US research labs; (2) An invited session on "Energy Efficiency in Smart Buildings and Cities" in which his paper (w/ Chris Laughman) on "Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems" was nominated for Best Energy Systems Paper Award; and, (3) A special session on Diversity, Equity, and Inclusion to improve recruitment and retention of underrepresented groups in STEM research.
See All News & Events for Ankush -
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Internships with Ankush
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MS2012: Residual Model Learning for Building Energy Systems
MERL is looking for a highly motivated and qualified candidate to work on learning residual dynamics to augment ODE/DAE-based models of building energy systems. The ideal candidate will have a strong understanding of system identification, optimization, machine learning and/or function approximation; additional understanding of energy systems is a plus. Hands-on programming experience with numerical optimization solvers and Python is preferred; experience with Modelica/FMUs is a plus. PhD students are strongly preferred, as an expected outcome of the internship is a publication in a high-tier venue. The minimum duration of the internship is 12 weeks; start time is flexible.
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MERL Publications
- "A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models", 18th IBPSA International Conference and Exhibition Building Simulation, September 2023.BibTeX TR2023-114 PDF
- @inproceedings{Zhan2023sep,
- author = {Zhan, Sicheng and Chakrabarty, Ankush and Laughman, Christopher R. and Chong, Adrian},
- title = {A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models},
- booktitle = {18th IBPSA International Conference and Exhibition Building Simulation},
- year = 2023,
- month = sep,
- url = {https://www.merl.com/publications/TR2023-114}
- }
, - "Digital Twins for Vapor Compression Cycles: Challenges & Opportunities", International Congress of Refrigeration (ICR), 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,
- url = {https://www.merl.com/publications/TR2023-103}
- }
, - "Meta-Learning of Neural State-Space Models Using Data From Similar Systems", World Congress of the International Federation of Automatic Control (IFAC), July 2023.BibTeX TR2023-087 PDF
- @inproceedings{Chakrabarty2023jul,
- author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
- title = {Meta-Learning of Neural State-Space Models Using Data From Similar Systems},
- booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
- year = 2023,
- month = jul,
- url = {https://www.merl.com/publications/TR2023-087}
- }
, - "Moving Horizon Estimation for Digital Twins using Deep Autoencoders", World Congress of the International Federation of Automatic Control (IFAC), July 2023.BibTeX TR2023-088 PDF
- @inproceedings{Chakrabarty2023jul2,
- author = {Chakrabarty, Ankush and Vinod, Abraham P. and Mansour, Hassan and Bortoff, Scott A. and Laughman, Christopher R.},
- title = {Moving Horizon Estimation for Digital Twins using Deep Autoencoders},
- booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
- year = 2023,
- month = jul,
- url = {https://www.merl.com/publications/TR2023-088}
- }
, - "Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?", ACM e-Energy Conference, DOI: 10.1145/3599733.3600260, June 2023.BibTeX TR2023-072 PDF
- @inproceedings{Salatiello2023jun,
- author = {Salatiello, Alessandro and Wang, Ye and Wichern, Gordon and Koike-Akino, Toshiaki and Yoshihiro, Ohta and Kaneko, Yosuke and Laughman, Christopher R. and Chakrabarty, Ankush},
- title = {Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?},
- booktitle = {ACM e-Energy Conference},
- year = 2023,
- month = jun,
- doi = {10.1145/3599733.3600260},
- url = {https://www.merl.com/publications/TR2023-072}
- }
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- "A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models", 18th IBPSA International Conference and Exhibition Building Simulation, September 2023.
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Other Publications
- "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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
- }
, - "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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- "State and unknown input observers for nonlinear systems with delayed measurements", Automatica, Vol. 95, pp. 246-253, 2018.
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Videos
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MERL Issued Patents
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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
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Title: "System and Method for Adaptive Control of Vehicle Dynamics"