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ORCIDAmit Chakraborty
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2020 – today
- 2024
[j11]Amit Chakraborty
, Saheli Ray:
Optimal allocation of distribution generation sources with sustainable energy management in radial distribution networks using metaheuristic algorithm. Comput. Electr. Eng. 116: 109142 (2024)- [i18]Shinjan Ghosh, Amit Chakraborty, Georgia Olympia Brikis, Biswadip Dey:
Using Parametric PINNs for Predicting Internal and External Turbulent Flows. CoRR abs/2410.18917 (2024) - 2023
- [c40]Amit Chakraborty, Diptanu Dey, Priyanath Das, Saheli Ray:
Real-time monitoring of wind turbine performance using IoT technology to prevent potential disruptions. ICCCNT 2023: 1-6 - [i17]Shinjan Ghosh, Amit Chakraborty, Georgia Olympia Brikis, Biswadip Dey:
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows. CoRR abs/2306.06034 (2023) - [i16]Valentin Duruisseaux, Amit Chakraborty:
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations. CoRR abs/2311.02328 (2023) - 2022
- [c39]Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. AAAI 2022: 4593-4601 - [c38]Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty:
On Using Hamiltonian Monte Carlo Sampling for RL. CDC 2022: 6640-6645 - [c37]Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy, Biswadip Dey, Amit Chakraborty:
Accelerated Algorithms for a Class of Optimization Problems with Constraints. CDC 2022: 6960-6965 - [c36]Prashant Gohel, Amit Chakraborty, Kameshwar Rao JV:
Organ classification Using Quantum Convolution Network. QCE 2022: 831-832 - [i15]Rajat Arora, Pratik Kakkar, Biswadip Dey, Amit Chakraborty:
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity. CoRR abs/2201.08363 (2022) - [i14]Tongtao Zhang, Biswadip Dey, Krishna Veeraraghavan, Harshad Kulkarni, Amit Chakraborty:
Demystifying the Data Need of ML-surrogates for CFD Simulations. CoRR abs/2205.08355 (2022) - [i13]Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey:
A Neural ODE Interpretation of Transformer Layers. CoRR abs/2212.06011 (2022) - 2021
- [c35]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. L4DC 2021: 1218-1229 - [c34]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models. NeurIPS 2021: 21910-21922 - [i12]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics. CoRR abs/2102.06794 (2021) - [i11]Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. CoRR abs/2109.05429 (2021) - [i10]Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. CoRR abs/2111.00278 (2021) - 2020
- [c33]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. ICLR 2020 - [i9]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. CoRR abs/2002.08860 (2020) - [i8]Tongtao Zhang, Biswadip Dey, Pratik Kakkar, Arindam Dasgupta, Amit Chakraborty:
Frequency-compensated PINNs for Fluid-dynamic Design Problems. CoRR abs/2011.01456 (2020) - [i7]Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty:
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL. CoRR abs/2011.05927 (2020) - [i6]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. CoRR abs/2012.02334 (2020)
2010 – 2019
- 2019
- [c32]Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren:
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME 2019: 1324-1329 - [i5]Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. CoRR abs/1909.12077 (2019) - [i4]Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty:
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods. CoRR abs/1910.02133 (2019) - 2018
- [c31]Amit Chakraborty:
Image Processing and Image Pattern Recognition a Programming Tutorial. AI4I 2018: 122-123 - 2017
- [c30]Ananya Bhattacharjee, Tahrina Tasnim, Md. Sadiqur Rahman Sohel, Amit Chakraborty, Md. Abdullah Al Maruf, Shantanu Dutta, Alvi Md. Ishmam, Tarik Reza Toha, A. B. M. Alim Al Islam:
Service-Hub: A better approach for developing the system of online marketing for daily services. NSysS (2) 2017: 1-5 - [c29]Tarik Reza Toha, Alvi Md. Ishmam, Md. Hasanul Islam, Md. Abdullah Al Maruf, Swarnendu Saikat Nandi, Amit Chakraborty, Salman Estyak, Md. Abdullah Al Alamin, A. B. M. Alim Al Islam:
An approach towards greening the digital display system. NSysS (2) 2017: 1-6 - [i3]Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller:
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR abs/1712.00202 (2017) - 2016
- [j10]Yangyang Xu, Ioannis Akrotirianakis, Amit Chakraborty:
Proximal gradient method for huberized support vector machine. Pattern Anal. Appl. 19(4): 989-1005 (2016) - [c28]Tarik Reza Toha, Md. Moyeen Uddin, Md. Nayeem Reza, Md. Abdullah Al Maruf, Amit Chakraborty, A. B. M. Alim Al Islam:
Towards Making an Anonymous and One-Stop Online Reporting System for Third-World Countries. ACM DEV 2016: 24:1-24:4 - [c27]Chao Yuan, Amit Chakraborty:
Deep Convolutional Factor Analyser for Multivariate Time Series Modeling. ICDM 2016: 1323-1328 - 2015
- [j9]Kun Deng, Yu Sun, Sisi Li, Yan Lu, Jack Brouwer, Prashant G. Mehta, MengChu Zhou, Amit Chakraborty:
Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming. IEEE Trans Autom. Sci. Eng. 12(2): 565-579 (2015) - [c26]Yangyang Xu, Ioannis Akrotirianakis, Amit Chakraborty:
Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines. MOD 2015: 105-117 - [i2]Yangyang Xu, Ioannis Akrotirianakis, Amit Chakraborty:
Proximal gradient method for huberized support vector machine. CoRR abs/1511.09159 (2015) - 2014
- [j8]Gui-Quan Sun, Amit Chakraborty, Quan-Xing Liu, Zhen Jin, Kurt E. Anderson, Bai-Lian Li:
Influence of time delay and nonlinear diffusion on herbivore outbreak. Commun. Nonlinear Sci. Numer. Simul. 19(5): 1507-1518 (2014) - [j7]Yoav Sharon, Anuradha M. Annaswamy, Alexis L. Motto, Amit Chakraborty:
Adaptive Control for Regulation of a Quadratic Function of the State. IEEE Trans. Autom. Control. 59(10): 2831-2836 (2014) - [c25]Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty:
HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection. LION 2014: 324-340 - [i1]Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty:
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection. CoRR abs/1411.4286 (2014) - 2013
- [c24]Kun Deng, Yu Sun, Amit Chakraborty, Yan Lu, Jack Brouwer, Prashant G. Mehta:
Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming. ACC 2013: 2958-2963 - [c23]Amitabh Saxena, Shubhashis Sengupta, Pradeepkumar Duraisamy, Vikrant S. Kaulgud, Amit Chakraborty:
Detecting SOQL-injection vulnerabilities in SalesForce applications. ICACCI 2013: 489-493 - 2012
- [j6]Dingcheng Li, Swapna Somasundaran, Amit Chakraborty:
ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning. Nat. Lang. Eng. 18(2): 263-289 (2012) - [c22]Vikas Chandan, Anh-Tuan Do, Baoduo Jin, Faryar Jabbari, Jack Brouwer, Ioannis Akrotirianakis, Amit Chakraborty, Andrew G. Alleyne:
Modeling and optimization of a combined cooling, heating and power plant system. ACC 2012: 3069-3074 - [c21]Alexis L. Motto, Yu Sun, Amit Chakraborty:
On global solution to a class of smart building-grid energy management models. CDC 2012: 5580-5585 - [c20]Yoav Sharon, Anuradha M. Annaswamy, Alexis L. Motto, Amit Chakraborty:
Topology identification in distribution network with limited measurements. ISGT 2012: 1-6 - [c19]Giang Tran, Arman Kiani, Anuradha M. Annaswamy, Yoav Sharon, Alexis L. Motto, Amit Chakraborty:
Necessary and sufficient conditions for observability in power systems. ISGT 2012: 1-8 - 2011
- [c18]Dingcheng Li, Swapna Somasundaran, Amit Chakraborty:
A Combination of Topic Models with Max-margin Learning for Relation Detection. Graph-based Methods for Natural Language Processing 2011: 1-9 - 2010
- [c17]Andrey Torzhkov, Puneet Sharma, Chengbo Li, Rodrigo Toso, Amit Chakraborty:
Chiller plant optimization - an integrated optimization approach for chiller sequencing and control. CDC 2010: 2741-2746 - [c16]Andrey Torzhkov, Puneet Sharma, Amit Chakraborty:
Robust estimation of multivariate jump-diffusion processes via Dynamic Programming. WSC 2010: 1123-1132
2000 – 2009
- 2008
- [c15]Sikandar Samar, Andrey Torzhkov, Amit Chakraborty:
On-Line Monotonic Fault Diagnostics via Recursive Constrained Quadratic Programming. CIMCA/IAWTIC/ISE 2008: 226-231 - [c14]Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty:
An efficient algorithm for compressed MR imaging using total variation and wavelets. CVPR 2008 - 2007
- [c13]Chittabrata Ghosh, Dharma P. Agrawal, Amit Chakraborty:
Performance of UWB Receiver with Cognitive Channel Allocation and Rake Optimization. CrownCom 2007: 298-305 - 2005
- [j5]Wotao Yin, Terrence Chen, Xiang Sean Zhou, Amit Chakraborty:
Background correction for cDNA microarray images using the TV+L1 model. Bioinform. 21(10): 2410-2416 (2005) - [c12]Lu-Yong Wang, Amit Chakraborty, Dorin Comaniciu:
Diagnosis and Biomarker Identi.cation on SELDI proteomics data by ADTBoost. CSB Workshops 2005: 9-10 - [c11]Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Chakraborty, Dorin Comaniciu:
Fractal Clustering for Microarray Data Analysis. CSB Workshops 2005: 97-98 - [c10]Lu-Yong Wang, Amit Chakraborty, Dorin Comaniciu:
An Automatic Molecular Diagnosis Approach Based on Boosting Classification for ALS disease. METMBS 2005: 130-135 - 2003
- [c9]Amit Chakraborty, Peiya Liu, Liang H. Hsu:
Extracting anchorable information units from PDF files. ICME 2003: 173-176 - 2002
- [c8]Peiya Liu, Liang H. Hsu, Amit Chakraborty:
Towards automating the generation of SCORM-based multimedia product training manuals. ICME (2) 2002: 397-400 - 2001
- [j4]Peiya Liu, Amit Chakraborty, Liang H. Hsu:
Path Predicate Calculus: Towards a Logic Formalism for Multimedia XML Query Languages. Markup Lang. 3(1): 93-106 (2001) - [c7]Peiya Liu, Amit Chakraborty, Liang H. Hsu:
A Logic Approach for MPEG-7 XML Document Queries. Extreme Markup Languages® 2001 - [c6]Amit Chakraborty:
A fast method for identifying graphical objects in large engineering drawings. ICIP (1) 2001: 794-797
1990 – 1999
- 1999
- [j3]Amit Chakraborty, James S. Duncan:
Game-Theoretic Integration for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 21(1): 12-30 (1999) - [c5]Amit Chakraborty, Peiya Liu, Liang H. Hsu:
Authoring and Viewing Video Documents Using an SGML Structure. ICMCS, Vol. 2 1999: 654-660 - 1997
- [j2]Lawrence H. Staib, Amit Chakraborty, James S. Duncan:
An Integrated Approach for Locating Neuroanatomical Structure from MRI. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1247-1269 (1997) - 1996
- [j1]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding in medical images by integrating gradient and region information. IEEE Trans. Medical Imaging 15(6): 859-870 (1996) - [c4]Glynn P. Robinson, Amit Chakraborty, Michael Johnston, M. Lynne Reuss, James S. Duncan:
Segmentation of ovarian follicles using geometric properties, texture descriptions, and boundary information. Image Processing 1996 - 1995
- [c3]Pengcheng Shi, Glynn P. Robinson, Amit Chakraborty, Lawrence H. Staib, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
A Unified Framework to Assess Myocardial Function from 4D Images. CVRMed 1995: 327-337 - [c2]Amit Chakraborty, Marcel Worring, James S. Duncan:
On Multi-Feature Integration for Deformable Boundary Finding. ICCV 1995: 846-851 - 1994
- [c1]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding influenced by region homogeneity. CVPR 1994: 624-627
Coauthor Index
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