Supratik Mukhopadhyay

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 69

Top Venues

CoRR

IJCNN

Int. J. Softw. Tools Technol. Transf.

COMSNETS

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Girish Rentala, Yimin Zhu, Supratik Mukhopadhyay
Application of time series analysis to improve the validity of Immersive virtual environments for collecting occupant thermal state and adaptive behavioral intention data. Adv. Eng. Informatics 61 (2024)
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Risks and Opportunities of Open-Source Generative AI. CoRR (2024)
Tanay Dey, Purba Bhattacharya, Supratik Mukhopadhyay, Nayana Majumdar, Abhishek Seal, Subhasis Chattopadhyay
Parallelization of Garfield++ and neBEM to simulate space-charge effects in RPCs. Comput. Phys. Commun. 294 (2024)
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR (2024)
Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay
MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction. J. Chem. Inf. Model. 64 (13) (2024)
Magesh Rajasekaran, Md Saiful Islam Sajol, Frej Berglind, Supratik Mukhopadhyay, Kamalika Das
COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification. SDM (2024)
Vivian M. Ho, Chris Alvin, Jimmie D. Lawson, Supratik Mukhopadhyay, Brian Peterson
Program analysis using empirical abstraction. Int. J. Softw. Tools Technol. Transf. 25 (4) (2023)
Nelson Sharma, Aswini Ghosh, Rajiv Misra, Supratik Mukhopadhyay, Gokarna Sharma
Collisionless Pattern Discovery in Robot Swarms Using Deep Reinforcement Learning. CoRR (2022)
Supratik Mukhopadhyay, Michal Brylinski, Adam Bess, Frej Berglind, Chris Galliano, Patrick F. McGrew
DeepDrug: Applying AI for the Advancement of Drug Discovery. COMSNETS (2022)
Frej Berglind, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Md Saiful Islam Sajol, Kumar Sricharan, Kumar Kallurupalli
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification. CoRR (2022)
Chris Alvin, Brian Peterson, Supratik Mukhopadhyay
Static generation of UML sequence diagrams. Int. J. Softw. Tools Technol. Transf. 23 (1) (2021)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay
Deadline-Aware Cost Optimization for Spark. IEEE Trans. Big Data 7 (1) (2021)
Edward Collier, Supratik Mukhopadhyay
SimilarityGAN: Using Similarity to Loosen Structural Constraints in Generative Adversarial Models. DICTA (2021)
Chanachok Chokwitthaya, Yimin Zhu, Supratik Mukhopadhyay
Robustness analysis framework for computations associated with building performance models and immersive virtual experiments. Adv. Eng. Informatics 50 (2021)
Alimire Nabijiang, Supratik Mukhopadhyay, Chanachok Chokwitthaya, Yimin Zhu, Girish Rentala, Qun Liu
Why Did You Turn On That Light? SMDS (2021)
Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. CoRR (2020)
Limeng Pu, Hsiao-Chun Wu, Chiapin Wang, Shih-Hau Fang, Supratik Mukhopadhyay, Costas Busch
Novel Fast User-Placement Ushering Algorithms and Performance Analysis for LTE Femtocell Networks. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Edward Collier, Robert DiBiano, Supratik Mukhopadhyay
Using Applicability to Quantifying Octave Resonance in Deep Neural Networks. ICONIP (5) (2020)
Vivian M. Ho, Chris Alvin, Supratik Mukhopadhyay, Brian Peterson, Jimmie D. Lawson
Empirical Abstraction. RV (2020)
Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. ISBI (2020)
Edward Collier, Supratik Mukhopadhyay
GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks. ICPR (2020)
Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly
Context-Aware Design of Cyber-Physical Human Systems (CPHS). CoRR (2020)
Supratik Mukhopadhyay, Subhajit Sidhanta, Arnab Ganguly, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi
Context-Aware Design of Cyber-Physical Human Systems (CPHS). COMSNETS (2020)
Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). CoRR (2019)
Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). IJCNN (2019)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR (2019)
Alimire Nabijiang, Supratik Mukhopadhyay, Sanaz Saeidi, Yimin Zhu, Ravindra Gudishala, Qun Liu
Why do you take that route? CogSci (2019)
Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. CoRR (2019)
Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. IJCNN (2019)
Alimire Nabijiang, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Qun Liu
Why do you take that route? CoRR (2019)
Subhajit Sidhanta, Supratik Mukhopadhyay, Wojciech M. Golab
Dyn-YCSB: Benchmarking Adaptive Frameworks. SERVICES (2019)
Subhajit Sidhanta, Supratik Mukhopadhyay, Wojciech M. Golab
Consistify: preserving correctness and SLA under weak consistency. ICDCN (2019)
Qun Liu, Edward Collier, Supratik Mukhopadhyay
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. ICADL (2019)
Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. CoRR (2019)
Qun Liu, Edward Collier, Supratik Mukhopadhyay
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. CoRR (2019)
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops (2018)
Qun Liu, Supratik Mukhopadhyay
Unsupervised Learning using Pretrained CNN and Associative Memory Bank. IJCNN (2018)
Edward Collier, Robert DiBiano, Supratik Mukhopadhyay
CactusNets: Layer Applicability as a Metric for Transfer Learning. CoRR (2018)
Edward Collier, Robert DiBiano, Supratik Mukhopadhyay
CactusNets: Layer Applicability as a Metric for Transfer Learning. IJCNN (2018)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay
How to Make Fat Autonomous Robots See all Others Fast? ICRA (2018)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay
Complete Visibility for Oblivious Robots in 풪(N) Time. NETYS (2018)
Qun Liu, Supratik Mukhopadhyay
Unsupervised Learning using Pretrained CNN and Associative Memory Bank. CoRR (2018)
Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters. CoRR (2018)
Gokarna Sharma, Rusul Alsaedi, Costas Busch, Supratik Mukhopadhyay
The Complete Visibility Problem for Fat Robots with Lights. ICDCN (2018)
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
Deep neural networks for texture classification - A theoretical analysis. Neural Networks 97 (2018)
Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. ICFHR (2018)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay, Saikat Basu
Adaptable SLA-Aware Consistency Tuning for Quorum-Replicated Datastores. IEEE Trans. Big Data 3 (3) (2017)
Limeng Pu, Hsiao-Chun Wu, Supratik Mukhopadhyay, Robert Kooima, Yiyan Wu
Novel electronic scissoring algorithm. BMSB (2017)
Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Core Sampling Framework for Pixel Classification. ICANN (2) (2017)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay
Brief Announcement: Complete Visibility for Oblivious Robots in Linear Time. SPAA (2017)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Synthesis of Problems for Shaded Area Geometry Reasoning. AIED (2017)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay, Charles Malveaux
Tight Analysis of a Collisionless Robot Gathering Algorithm. ACM Trans. Auton. Adapt. Syst. 12 (1) (2017)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Synthesis of Solutions for Shaded Area Geometry Problems. FLAIRS Conference (2017)
Robert DiBiano, Supratik Mukhopadhyay
Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks. Integr. 58 (2017)
Chris Alvin, Brian Peterson, Supratik Mukhopadhyay
StaticGen: Static Generation of UML Sequence Diagrams. FASE (2017)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. 45 (3) (2017)
Subhajit Sidhanta, Supratik Mukhopadhyay
SynAdapt: Automated Synthesis of Adaptive Agents. SCC (2017)
Tairan Liu, Misagh Naderi, Chris Alvin, Supratik Mukhopadhyay, Michal Brylinski
MolFrag. J. Chem. Inf. Model. 57 (4) (2017)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay
OptEx: A Deadline-Aware Cost Optimization Model for Spark. CoRR (2016)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay, Saikat Basu
OptCon: An Adaptable SLA-Aware Consistency Tuning Framework for Quorum-based Stores. CoRR (2016)
Limeng Pu, Hsiao-Chun Wu, Chiapin Wang, Shih-Hau Fang, Supratik Mukhopadhyay, Costas Busch
Novel Fast User-Placement Ushering Algorithms for Indoor Femtocell Networks. GLOBECOM (2016)
Misagh Naderi, Chris Alvin, Yun Ding, Supratik Mukhopadhyay, Michal Brylinski
A graph-based approach to construct target-focused libraries for virtual screening. J. Cheminformatics 8 (1) (2016)
Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Core Sampling Framework for Pixel Classification. CoRR (2016)
Subhajit Sidhanta, Supratik Mukhopadhyay
Infra: SLO Aware Elastic Auto-scaling in the Cloud for Cost Reduction. BigData Congress (2016)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay, Saikat Basu
OptCon: An Adaptable SLA-Aware Consistency Tuning Framework for Quorum-Based Stores. CCGrid (2016)
Manohar Karki, Saikat Basu, Robert DiBiano, Supratik Mukhopadhyay, Jerry Weltman, Malcolm Stagg
A symbolic framework for recognizing activities in full motion surveillance videos. SSCI (2016)
Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay
OptEx: A Deadline-Aware Cost Optimization Model for Spark. CCGrid (2016)
Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
A theoretical analysis of Deep Neural Networks for texture classification. IJCNN (2016)
Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
A Theoretical Analysis of Deep Neural Networks for Texture Classification. CoRR (2016)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. ESANN (2015)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay, Charles Malveaux
Tight analysis of a collisionless robot gathering algorithm. IROS (2015)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. CoRR (2015)
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat: a learning framework for satellite imagery. SIGSPATIAL/GIS (2015)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay
Mutual Visibility with an Optimal Number of Colors. ALGOSENSORS (2015)
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat - A Learning framework for Satellite Imagery. CoRR (2015)
Hong Yi Chen, Shaked Flur, Supratik Mukhopadhyay
Termination proofs for linear simple loops. Int. J. Softw. Tools Technol. Transf. 17 (1) (2015)
Saikat Basu, Sangram Ganguly, Ramakrishna R. Nemani, Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, Andrew R. Michaelis, Petr Votava, Ralph Dubayah, Laura Duncanson, Bruce D. Cook, Yifan Yu, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Trans. Geosci. Remote. Sens. 53 (10) (2015)
Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly
An Agile Framework for Real-Time Motion Tracking. COMPSAC Workshops (2015)
Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay
Bounds on Mutual Visibility Algorithms. CCCG (2015)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Automatic Synthesis of Geometry Problems for an Intelligent Tutoring System. CoRR (2015)
Saikat Basu, Manohar Karki, Malcolm Stagg, Robert DiBiano, Sangram Ganguly, Supratik Mukhopadhyay
MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. VISAPP (3) (2015)
Manuel Peralta, Supratik Mukhopadhyay, Ramesh Bharadwaj
Reasoning about security in sensor networks. Concurr. Comput. Pract. Exp. 27 (15) (2015)
Kaliappa Ravindran, Arun Adiththan, Supratik Mukhopadhyay
Stability of video rate control algorithms over bandwidth-limited network paths. CNSM (2014)
Hsiao-Chun Wu, Tian Xia, Yiyan Wu, Supratik Mukhopadhyay
Novel Fast Blind Channel Estimation and Hessian Analysis for Transmitter Identification of Digital Television Signals. IEEE Trans. Broadcast. 60 (4) (2014)
Kaliappa Ravindran, Supratik Mukhopadhyay, Subhajit Sidhanta, Ali Sabbir
Managing shared contexts in distributed multi-player game systems. COMSNETS (2014)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Synthesis of Geometry Proof Problems. AAAI (2014)
Tian Xia, Hsiao-Chun Wu, Supratik Mukhopadhyay
LDPC encoder identification in time-varying flat-fading channels. GLOBECOM (2014)
Manuel Peralta, Supratik Mukhopadhyay, Ramesh Bharadwaj
A Type-Theoretic Framework for Automated Synthesis of Workflows in Service-Oriented Computing. ICDCS Workshops (2013)
Hong Yi Chen, Supratik Mukhopadhyay, Zheng Lu
Control Flow Refinement and Symbolic Computation of Average Case Bound. ATVA (2013)
Yonas G. Debessu, Hsiao-Chun Wu, Hong Jiang, Supratik Mukhopadhyay
New Modified Turbo Decoder for Embedded Local Content in Single-Frequency Networks. IEEE Trans. Broadcast. 59 (1) (2013)
Subhajit Sidhanta, Supratik Mukhopadhyay
An ad-hoc distributed execution environment for multi-agent systems. COMSNETS (2013)
Manuel Peralta, Supratik Mukhopadhyay
Code-Change Impact Analysis using Counterfactuals: Theory and Implementation. Int. J. Softw. Eng. Knowl. Eng. 23 (10) (2013)
Zheng Lu, Christopher Steinmuller, Supratik Mukhopadhyay
Towards Formal Verification of a Commercial Wireless Router Firmware. COMPSAC (2013)
Srivathsan Srinivasagopalan, Supratik Mukhopadhyay, Ramesh Bharadwaj
A complex-event-processing framework for smart-grid management. CogSIMA (2012)
S. Sitharama Iyengar, Xin Li, Huanhuan Xu, Supratik Mukhopadhyay, N. Balakrishnan, Amit Sawant, Puneeth Iyengar
Toward More Precise Radiotherapy Treatment of Lung Tumors. Computer 45 (1) (2012)
Zheng Lu, Supratik Mukhopadhyay
Model-Based Static Source Code Analysis of Java Programs with Applications to Android Security. COMPSAC (2012)
Zheng Lu, Supratik Mukhopadhyay
Model-Based Static Code Analysis for MATLAB Models. ISoLA (1) (2012)
Hong Yi Chen, Shaked Flur, Supratik Mukhopadhyay
Termination Proofs for Linear Simple Loops. SAS (2012)
Subhajit Sidhanta, Supratik Mukhopadhyay
Managing a Cloud for Multi-agent Systems on Ad-Hoc Networks. IEEE CLOUD (2012)
Supratik Mukhopadhyay, Ramesh Bharadwaj, Hasan Davulcu
Functional "AJAX" in Secure Synchronous Programming. HICSS (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Supratik Mukhopadhyay