Ankush Chakrabarty
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA 02138.
Research
- Wearable Artificial Pancreas
- Embedded Control
- Model Predictive Control
- Machine Learning
- Optimization
- State and Unknown Input Estimation
Recent Publications
- Journal:
- A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems. Preprint available, IEEE Trans. Biomedical Engineering, May 2017.
- E. Dassau, E. Renard, J.E. Place, A. Farret, M.J. Pelletier, J. Lee, L.M. Huyett, A. Chakrabarty, F.J. Doyle III and H.C. Zisser, Intraperitoneal Insulin Delivery Provides Superior Glycemic 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, 2017.
- O. Choudhury, A. Chakrabarty, S. J. Emrich, Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation. Accepted, IEEE Transactions on Computational Biology and Bioinformatics, 2017.
- J. H. Abel, A. Chakrabarty, F. J. Doyle III, Nonlinear Model Predictive Control for Populations of Circadian Oscillators. Emerging Applications of Control and System Theory, 2017.
- A. Chakrabarty, M. Corless, G.T. Buzzard, S.H. Zak, A.E. Rundell, State and Unknown Input Observers for Nonlinear Systems with Bounded Exogenous Disturbances. IEEE Trans. Automatic Control, 2017.
- A. Chakrabarty, R. Ayoub, S.H. Zak, S. Sundaram, Delayed Unknown Input Observers For Discrete-Time Linear Systems With Guaranteed Performance. Systems and Control Letters, Vol. 103, pp. 9 – 15, 2017.
- S. Zavitsanou, A. Chakrabarty, E. Dassau, F. J. Doyle III, Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas. Processes 4(4), pp. 35, 2016.
- A. Chakrabarty, G.T. Buzzard, S.H. Zak, Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multi-Class Support Vector Machines. Preprint available, IEEE Trans. Industrial Electronics, December 2016, doi:10.1109/TIE.2016.2638401.
- A. Chakrabarty, G.T. Buzzard, F. Zhu, S.H. Zak, A.E. Rundell, Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers. Under Review.
- S. C. Johnson, A. Chakrabarty, J. Hu, S.H. Zak, R.A. DeCarlo, Dual-Mode Robust Fault Estimation for Switched Linear Systems with State Jumps. Conditionally accepted, Nonlinear Analysis: Hybrid Systems.
- X. Li, F. Zhu, A. Chakrabarty, S.H. Zak, Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems. IEEE Trans. Fuzzy Systems, Vol 24 (6), pp. 1679 – 1689.
- A. Chakrabarty, V. Dinh, G.T. Buzzard, M. Corless, S.H. Zak, A.E. Rundell, Support Vector Machine Informed Explicit Nonlinear Model Predictive Control. IEEE Trans. Automatic Control, Vol 62 (1), pp. 135 — 148.
- N. Tomar, O. Choudhury, A. Chakrabarty, and R.K. De. An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach. Molecular biology reports 40, no. 2: 1103-1125, 2013.
- A. Chakrabarty, H. Jain, and A. Chatterjee. Volterra kernel based face recognition using artificial bee colony optimization. Engineering Applications of Artificial Intelligence 26, no. 3: 1107-1114, 2013.
- A. Chakrabarty, S. Banerjee, S. Maity, and A. Chatterjee. Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms. Measurement 46, no. 4: 1616-1629, 2013.
- A. Chakrabarty, O. Choudhury, P. Sarkar, A. Paul, and D. Sarkar. Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting. Artificial Intelligence Research 1, no. 1: pp. 63, 2012.
- S. Banerjee, A. Chakrabarty, S. Maity, A. Chatterjee. Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation. Applied Soft Computing, 11(4), 3441-3450, 2011.
- Conference:
- A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, Model Predictive Control with Event-Triggered Communication for an Embedded Artificial Pancreas, Accepted, IEEE Conference on Control Technology and Applications (CCTA), 2017.
- J. H. Abel, A. Chakrabarty, F. J. Doyle III, Nonlinear Model Predictive Control For Circadian Entrainment Using Small-Molecule Pharmaceuticals. Accepted, IFAC World Congress 2017.
- A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, Reducing Controller Updates Via Event-Triggered Model
Predictive Control In An Embedded Artificial Pancreas. Accepted, American Control Conference, 2017. - A. Raha, A. Chakrabarty, V. Raghunathan, G. T. Buzzard, Ultrafast Embedded Explicit Model Predictive Control for Nonlinear Systems. Accepted, American Control Conference, 2017.
- S. Zak, A. Chakrabarty, G. T. Buzzard, Unknown Input Estimation Using Sliding Mode Observers for Nonlinear Systems Characterized by Incremental Multiplier Matrices. Accepted, American Control Conference, 2017.
- A. Chakrabarty, G.T. Buzzard, E. Fridman, S.H. Zak, Unknown Input Estimation via Observers for Nonlinear Systems with Measurement Delays. IEEE Conference on Decision and Control, Las Vegas, NV, 2016, pp. 2308-2313.
- A. Chakrabarty, S.H. Zak, S. Sundaram, State and Exogenous Input Observers for Discrete-Time Nonlinear Systems. IEEE Conference on Decision and Control, Las Vegas, NV, 2016, pp. 7111 – 7116.
- H. Zhang, A. Chakrabarty, R. Ayoub, G.T. Buzzard, S. Sundaram, Sampling based Explicit Model Predictive Control for Tracking of Nonlinear Systems. IEEE Conference on Decision and Control, Las Vegas, NV, 2016, pp.4722 – 4727.
- O. Choudhury, A. Chakrabarty, S. J. Emrich, HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data. Accepted, 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, October 2016, Seattle, WA.
- A. Chakrabarty, M.J. Corless, G.T. Buzzard, S.H. Zak, A.E. Rundell, Sufficient Conditions for Exogeneous Input Estimation In Nonlinear Systems. Proc. 2016 American Control Conference (ACC), Boston, MA, pp. 103–108.
- A. Chakrabarty, S. Sundaram, M. Corless, G.T. Buzzard, S.H. Zak, A.E. Rundell, Distributed Unknown Input Observers For Interconnected Nonlinear Systems: Application To Gene Regulatory Networks. Proc. 2016 American Control Conference (ACC), Boston, MA, pp. 2478–2483.
- A. Chakrabarty, G.T. Buzzard, M. Corless, S.H. Zak, A.E. Rundell, Correcting Hypothalamic-Pituitary-Adrenal Axis Dysfunction Using Observer-based Explicit Nonlinear Model Predictive Control. 36th Annual Conference IEEE EMBS 2014, Chicago, USA.
- A. Chakrabarty, V. Dinh, G.T. Buzzard, S.H. Zak, and A.E. Rundell. Robust explicit nonlinear model predictive control with integral sliding mode. In American Control Conference (ACC), 2014, Portland, USA, pp. 2851–2856.
- A. Chakrabarty, S.M. Pearce, R.P. Nelson, and A.E. Rundell. Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies. In American Control Conference (ACC), 2013, Washington D.C., USA, pp. 3790–3795.
Links
- Contact: achakrabarty -at- g -dot- harvard -dot – edu
- My Google Scholar Profile