Beyond Region Graphs: Symbolic Forward Analysis of Timed Automata. - Supratik Mukhopadhyay; Andreas Podelski (FSTTCS, 1999)

Model Checking for Timed Logic Processes. - Supratik Mukhopadhyay; Andreas Podelski (Computational Logic, 2000)

A uniform constraint-based framework for the verification of infinite state systems. - Supratik Mukhopadhyay (2000)

Accurate Widenings and Boundedness Properties of Timed Systems. - Supratik Mukhopadhyay; Andreas Podelski (Ershov Memorial Conference, 2001)

The Complexity of Model Checking Mobile Ambients. - Witold Charatonik; Silvano Dal-Zilio; Andrew D. Gordon 001; Supratik Mukhopadhyay; Jean-Marc Talbot (FoSSaCS, 2001)

Constraint Database Models Characterizing Timed Bisimilarity. - Supratik Mukhopadhyay; Andreas Podelski (PADL, 2001)

Model Checking Communication Protocols. - Pablo Argón; Giorgio Delzanno; Supratik Mukhopadhyay; Andreas Podelski (SOFSEM, 2001)

Dynamic Message Sequence Charts. - Martin Leucker; P. Madhusudan; Supratik Mukhopadhyay (FSTTCS, 2002)

Constraint-Based Infinite Model Checking and Tabulation for Stratified CLP. - Witold Charatonik; Supratik Mukhopadhyay; Andreas Podelski (ICLP, 2002)

Optimal-Reachability and Control for Acyclic Weighted Timed Automata. - Salvatore La Torre; Supratik Mukhopadhyay; Aniello Murano (IFIP TCS, 2002)

An Algebraic Framework for Abstract Model Checking. - Supratik Mukhopadhyay; Andreas Podelski (SARA, 2002)

Compositional Termination Analysis of Symbolic Forward Analysis. - Witold Charatonik; Supratik Mukhopadhyay; Andreas Podelski (VMCAI, 2002)

Abstract spatial hybrid systems for image processing. - Supratik Mukhopadhyay (CDC, 2003)

Preface. - Sandro Etalle; Supratik Mukhopadhyay; Abhik Roychoudhury (SVV@ICLP, 2003)

Deterministic finite automata with recursive calls and DPDAs. - Jean H. Gallier; Salvatore La Torre; Supratik Mukhopadhyay (Inf. Process. Lett., 2003)

Model checking mobile ambients. - Witold Charatonik; Silvano Dal-Zilio; Andrew D. Gordon 001; Supratik Mukhopadhyay; Jean-Marc Talbot (Theor. Comput. Sci., 2003)

Does Your Result Checker Really Check? - Lan Guo; Supratik Mukhopadhyay; Bojan Cukic (DSN, 2004)

RETNA: From Requirements to Testing in a Natural Way. - Ravishankar Boddu; Lan Guo; Supratik Mukhopadhyay; Bojan Cukic (RE, 2004)

Service Composition in a Secure Agent-Based Architecture. - Ramesh Bharadwaj; Supratik Mukhopadhyay; Nilay Padh (EEE, 2005)

Adaptable Situation-Aware Secure Service-Based (AS3) Systems. - Stephen S. Yau; Hasan Davulcu; Supratik Mukhopadhyay; Dazhi Huang; Yisheng Yao (ISORC, 2005)

Specification, Analysis and Implementation of Architectural Patterns for Dependable Software Systems. - Stephen S. Yau; Supratik Mukhopadhyay; Ramesh Bharadwaj (WORDS, 2005)

Preface. - Supratik Mukhopadhyay; Abhik Roychoudhury; Zijiang Yang (SVV@ICFEM, 2005)

SOLj: A Domain-Specific Language (DSL) for Secure Service-Based Systems. - Ramesh Bharadwaj; Supratik Mukhopadhyay (FTDCS, 2007)

Automated Situation-Aware Service Composition in Service-Oriented Computing. - Stephen S. Yau; Hasan Davulcu; Supratik Mukhopadhyay; Dazhi Huang; Haishan Gong; Prabhdeep Singh; Fatih Gelgi (Int. J. Web Serv. Res., 2007)

A Risk Reduction Framework for Dynamic Workflows. - Prabhdeep Singh; Fatih Gelgi; Hasan Davulcu; Stephen S. Yau; Supratik Mukhopadhyay (IEEE SCC (1), 2008)

A Formal Approach to Developing Reliable Event-Driven Service-Oriented Systems. - Ramesh Bharadwaj; Supratik Mukhopadhyay (COMPSAC, 2008)

Cognitive Distributed Networks in Environmental e-Science. - Ramesh Bharadwaj; Supratik Mukhopadhyay; Manuel Peralta; Krishna Shenai; Subhashis Majumder (FTDCS, 2008)

The Causal Order is Strict. - Jeremiah James; Supratik Mukhopadhyay (FTDCS, 2008)

Default α-Logic for Modeling Customizable Failure Semantics in Workflow Systems Using Dynamic Reconfiguration Constraints. - Hasan Davulcu; Supratik Mukhopadhyay; Prabhdeep Singh; Stephen S. Yau (FGIT-GDC, 2009)

Automatic Synthesis and Deployment of Intensional Kahn Process Networks. - Manuel Peralta; Supratik Mukhopadhyay; Ramesh Bharadwaj (FGIT-GDC, 2009)

Approximation of CFL by Regular Languages for Concurrent Program Verification. - Sukhamay Kundu; Supratik Mukhopadhyay (COMPSAC Workshops, 2010)

Preventing Future Oil Spills with Software-Based Event Detection. - S. S. Iyengar 001; Supratik Mukhopadhyay; Christopher Steinmuller; Xin Li 003 (Computer, 2010)

Code-Change Impact Analysis Using Counterfactuals. - Manuel Peralta; Supratik Mukhopadhyay (COMPSAC, 2011)

'Control plane' properties for signaling in loss-feedback based video rate adaptation over shared multicast paths. - Mohammad Rabby; Kaliappa Ravindran; Supratik Mukhopadhyay; Ramesh Bharadwaj; Gaurav Mangukiya (COMSNETS, 2011)

Functional "AJAX" in Secure Synchronous Programming. - Supratik Mukhopadhyay; Ramesh Bharadwaj; Hasan Davulcu (HICSS, 2011)

Counterfactually reasoning about security. - Manuel Peralta; Supratik Mukhopadhyay; Ramesh Bharadwaj (SIN, 2011)

Managing a Cloud for Multi-agent Systems on Ad-Hoc Networks. - Subhajit Sidhanta; Supratik Mukhopadhyay (IEEE CLOUD, 2012)

A complex-event-processing framework for smart-grid management. - Srivathsan Srinivasagopalan; Supratik Mukhopadhyay; Ramesh Bharadwaj (CogSIMA, 2012)

Model-Based Static Source Code Analysis of Java Programs with Applications to Android Security. - Zheng Lu; Supratik Mukhopadhyay (COMPSAC, 2012)

Model-Based Static Code Analysis for MATLAB Models. - Zheng Lu; Supratik Mukhopadhyay (ISoLA (1), 2012)

Toward More Precise Radiotherapy Treatment of Lung Tumors. - S. Sitharama Iyengar; Xin Li 003; Huanhuan Xu; Supratik Mukhopadhyay; N. Balakrishnan 001; Amit Sawant; Puneeth Iyengar (Computer, 2012)

Control Flow Refinement and Symbolic Computation of Average Case Bound. - Hong Yi Chen; Supratik Mukhopadhyay; Zheng Lu (ATVA, 2013)

Towards Formal Verification of a Commercial Wireless Router Firmware. - Zheng Lu; Christopher Steinmuller; Supratik Mukhopadhyay (COMPSAC, 2013)

An ad-hoc distributed execution environment for multi-agent systems. - Subhajit Sidhanta; Supratik Mukhopadhyay (COMSNETS, 2013)

A Type-Theoretic Framework for Automated Synthesis of Workflows in Service-Oriented Computing. - Manuel Peralta; Supratik Mukhopadhyay; Ramesh Bharadwaj (ICDCS Workshops, 2013)

Code-Change Impact Analysis using Counterfactuals: Theory and Implementation. - Manuel Peralta; Supratik Mukhopadhyay (Int. J. Softw. Eng. Knowl. Eng., 2013)

New Modified Turbo Decoder for Embedded Local Content in Single-Frequency Networks. - Yonas G. Debessu; Hsiao-Chun Wu; Hong Jiang 002; Supratik Mukhopadhyay (IEEE Trans. Broadcast., 2013)

Synthesis of Geometry Proof Problems. - Chris Alvin; Sumit Gulwani; Rupak Majumdar; Supratik Mukhopadhyay (AAAI, 2014)

Stability of video rate control algorithms over bandwidth-limited network paths. - Kaliappa Ravindran; Arun Adiththan; Supratik Mukhopadhyay (CNSM, 2014)

Managing shared contexts in distributed multi-player game systems. - Kaliappa Ravindran; Supratik Mukhopadhyay; Subhajit Sidhanta; Ali Sabbir (COMSNETS, 2014)

LDPC encoder identification in time-varying flat-fading channels. - Tian Xia 003; Hsiao-Chun Wu; Supratik Mukhopadhyay (GLOBECOM, 2014)

Novel Fast Blind Channel Estimation and Hessian Analysis for Transmitter Identification of Digital Television Signals. - Hsiao-Chun Wu; Tian Xia 003; Yiyan Wu 001; Supratik Mukhopadhyay (IEEE Trans. Broadcast., 2014)

Mutual Visibility with an Optimal Number of Colors. - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay (ALGOSENSORS, 2015)

Bounds on Mutual Visibility Algorithms. - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay (CCCG, 2015)

An Agile Framework for Real-Time Motion Tracking. - Saikat Basu; Robert DiBiano; Manohar Karki; Malcolm Stagg; Jerry Weltman; Supratik Mukhopadhyay; Sangram Ganguly (COMPSAC Workshops, 2015)

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Ramakrishna R. Nemani (ESANN, 2015)

DeepSat: a learning framework for satellite imagery. - Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (SIGSPATIAL/GIS, 2015)

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. - Saikat Basu; Manohar Karki; Malcolm Stagg; Robert DiBiano; Sangram Ganguly; Supratik Mukhopadhyay (VISAPP (3), 2015)

Reasoning about security in sensor networks. - Manuel Peralta; Supratik Mukhopadhyay; Ramesh Bharadwaj (Concurr. Comput. Pract. Exp., 2015)

Automatic Synthesis of Geometry Problems for an Intelligent Tutoring System. - Chris Alvin; Sumit Gulwani; Rupak Majumdar; Supratik Mukhopadhyay (CoRR, 2015)

Termination proofs for linear simple loops. - Hong Yi Chen; Shaked Flur; Supratik Mukhopadhyay (Int. J. Softw. Tools Technol. Transf., 2015)

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. - 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 007; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

Infra: SLO Aware Elastic Auto-scaling in the Cloud for Cost Reduction. - Subhajit Sidhanta; Supratik Mukhopadhyay (BigData Congress, 2016)

OptEx: A Deadline-Aware Cost Optimization Model for Spark. - Subhajit Sidhanta; Wojciech M. Golab; Supratik Mukhopadhyay (CCGrid, 2016)

OptCon: An Adaptable SLA-Aware Consistency Tuning Framework for Quorum-Based Stores. - Subhajit Sidhanta; Wojciech M. Golab; Supratik Mukhopadhyay; Saikat Basu (CCGrid, 2016)

Novel Fast User-Placement Ushering Algorithms for Indoor Femtocell Networks. - Limeng Pu; Hsiao-Chun Wu; Chiapin Wang; Shih-Hau Fang; Supratik Mukhopadhyay; Costas Busch (GLOBECOM, 2016)

A theoretical analysis of Deep Neural Networks for texture classification. - Saikat Basu; Manohar Karki; Supratik Mukhopadhyay; Sangram Ganguly; Ramakrishna R. Nemani; Robert DiBiano; Shreekant Gayaka (IJCNN, 2016)

A symbolic framework for recognizing activities in full motion surveillance videos. - Manohar Karki; Saikat Basu; Robert DiBiano; Supratik Mukhopadhyay; Jerry Weltman; Malcolm Stagg (SSCI, 2016)

A graph-based approach to construct target-focused libraries for virtual screening. - Misagh Naderi; Chris Alvin; Yun Ding; Supratik Mukhopadhyay; Michal Brylinski (J. Cheminformatics, 2016)

SynAdapt: Automated Synthesis of Adaptive Agents. - Subhajit Sidhanta; Supratik Mukhopadhyay (SCC, 2017)

Synthesis of Problems for Shaded Area Geometry Reasoning. - Chris Alvin; Sumit Gulwani; Rupak Majumdar; Supratik Mukhopadhyay (AIED, 2017)

Novel electronic scissoring algorithm. - Limeng Pu; Hsiao-Chun Wu; Supratik Mukhopadhyay; Robert Kooima; Yiyan Wu 001 (BMSB, 2017)

StaticGen: Static Generation of UML Sequence Diagrams. - Chris Alvin; Brian Peterson; Supratik Mukhopadhyay (FASE, 2017)

Synthesis of Solutions for Shaded Area Geometry Problems. - Chris Alvin; Sumit Gulwani; Rupak Majumdar; Supratik Mukhopadhyay (FLAIRS, 2017)

Core Sampling Framework for Pixel Classification. - Manohar Karki; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICANN (2), 2017)

Brief Announcement: Complete Visibility for Oblivious Robots in Linear Time. - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay (SPAA, 2017)

Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks. - Robert DiBiano; Supratik Mukhopadhyay (Integr., 2017)

Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with eMolFrag. - Tairan Liu; Misagh Naderi; Chris Alvin; Supratik Mukhopadhyay; Michal Brylinski (J. Chem. Inf. Model., 2017)

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Shreekant Gayaka; Rajgopal Kannan; Ramakrishna R. Nemani (Neural Process. Lett., 2017)

Tight Analysis of a Collisionless Robot Gathering Algorithm. - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay; Charles Malveaux (ACM Trans. Auton. Adapt. Syst., 2017)

Adaptable SLA-Aware Consistency Tuning for Quorum-Replicated Datastores. - Subhajit Sidhanta; Wojciech M. Golab; Supratik Mukhopadhyay; Saikat Basu (IEEE Trans. Big Data, 2017)

The Complete Visibility Problem for Fat Robots with Lights. - Gokarna Sharma; Rusul Alsaedi; Costas Busch; Supratik Mukhopadhyay (ICDCN, 2018)

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. - 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 (ICDM Workshops, 2018)

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. - Manohar Karki; Qun Liu 004; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICFHR, 2018)

How to Make Fat Autonomous Robots See all Others Fast? - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay (ICRA, 2018)

CactusNets: Layer Applicability as a Metric for Transfer Learning. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (IJCNN, 2018)

Unsupervised Learning using Pretrained CNN and Associative Memory Bank. - Qun Liu 004; Supratik Mukhopadhyay (IJCNN, 2018)

Complete Visibility for Oblivious Robots in 풪(N) Time. - Gokarna Sharma; Costas Busch; Supratik Mukhopadhyay (NETYS, 2018)

Deep neural networks for texture classification - A theoretical analysis. - Saikat Basu; Supratik Mukhopadhyay; Manohar Karki; Robert DiBiano; Sangram Ganguly; Ramakrishna R. Nemani; Shreekant Gayaka (Neural Networks, 2018)

Why do you take that route? - Alimire Nabijiang; Supratik Mukhopadhyay; Sanaz Saeidi; Yimin Zhu; Ravindra Gudishala; Qun Liu 004 (CogSci, 2019)

PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. - Qun Liu 004; Edward Collier; Supratik Mukhopadhyay (ICADL, 2019)

Consistify: preserving correctness and SLA under weak consistency. - Subhajit Sidhanta; Supratik Mukhopadhyay; Wojciech M. Golab (ICDCN, 2019)

Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). - Chanachok Chokwitthaya; Edward Collier; Yimin Zhu; Supratik Mukhopadhyay (IJCNN, 2019)

Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. - Qun Liu 004; Supratik Mukhopadhyay; Yimin Zhu; Ravindra Gudishala; Sanaz Saeidi; Alimire Nabijiang (IJCNN, 2019)

Dyn-YCSB: Benchmarking Adaptive Frameworks. - Subhajit Sidhanta; Supratik Mukhopadhyay; Wojciech M. Golab (SERVICES, 2019)

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. - Qun Liu 004; Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (CoRR, 2019)

Context-Aware Design of Cyber-Physical Human Systems (CPHS). - Supratik Mukhopadhyay; Subhajit Sidhanta; Arnab Ganguly 002; Qun Liu 004; Edward Collier; Yimin Zhu; Ravindra Gudishala; Chanachok Chokwitthaya; Robert DiBiano; Alimire Nabijiang; Sanaz Saeidi (COMSNETS, 2020)

Using Applicability to Quantifying Octave Resonance in Deep Neural Networks. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (ICONIP (5), 2020)

GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks. - Edward Collier; Supratik Mukhopadhyay (ICPR, 2020)

A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. - Qun Liu 004; Supratik Mukhopadhyay; Maria-Ximena Bastidas-Rodríguez; Xing Fu; Sushant Sahu; David Burk; Manas Gartia (ISBI, 2020)

Empirical Abstraction. - Vivian M. Ho; Chris Alvin; Supratik Mukhopadhyay; Brian Peterson; Jimmie D. Lawson (RV, 2020)

Novel Fast User-Placement Ushering Algorithms and Performance Analysis for LTE Femtocell Networks. - Limeng Pu; Hsiao-Chun Wu; Chiapin Wang; Shih-Hau Fang; Supratik Mukhopadhyay; Costas Busch (IEEE Trans. Cogn. Commun. Netw., 2020)

SimilarityGAN: Using Similarity to Loosen Structural Constraints in Generative Adversarial Models. - Edward Collier; Supratik Mukhopadhyay (DICTA, 2021)

Why Did You Turn On That Light? - Alimire Nabijiang; Supratik Mukhopadhyay; Chanachok Chokwitthaya; Yimin Zhu; Girish Rentala; Qun Liu 004 (SMDS, 2021)

Robustness analysis framework for computations associated with building performance models and immersive virtual experiments. - Chanachok Chokwitthaya; Yimin Zhu; Supratik Mukhopadhyay (Adv. Eng. Informatics, 2021)

Static generation of UML sequence diagrams. - Chris Alvin; Brian Peterson; Supratik Mukhopadhyay (Int. J. Softw. Tools Technol. Transf., 2021)

Deadline-Aware Cost Optimization for Spark. - Subhajit Sidhanta; Wojciech M. Golab; Supratik Mukhopadhyay (IEEE Trans. Big Data, 2021)

DeepDrug: Applying AI for the Advancement of Drug Discovery. - Supratik Mukhopadhyay; Michal Brylinski; Adam Bess; Frej Berglind; Chris Galliano; Patrick F. McGrew (COMSNETS, 2022)

XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification. - Frej Berglind; Haron Temam; Supratik Mukhopadhyay; Kamalika Das; Md Saiful Islam Sajol; Kumar Sricharan; Kumar Kallurupalli (CoRR, 2022)

Collisionless Pattern Discovery in Robot Swarms Using Deep Reinforcement Learning. - Nelson Sharma; Aswini Ghosh; Rajiv Misra; Supratik Mukhopadhyay; Gokarna Sharma (CoRR, 2022)

Program analysis using empirical abstraction. - Vivian M. Ho; Chris Alvin; Jimmie D. Lawson; Supratik Mukhopadhyay; Brian Peterson (Int. J. Softw. Tools Technol. Transf., 2023)

Trans-ARG: Predicting Antibiotic Resistance Genes with a Transformer-Based Model and Pretrained Protein Language Model. - Mohd Manzar Abbas; Amit Ranjan; Aixin Hou; Supratik Mukhopadhyay (AIMLSystems, 2024)

KG-DTA: A knowledge graph-based meta-path learning framework to predict drug-target binding affinity. - Amit Ranjan; Adam Bess; Md Saiful Islam Sajol; Magesh Rajasekaran; Chris Alvin; Supratik Mukhopadhyay (AIMLSystems, 2024)

GNN-ARG: A Graph Neural Network-based Framework for Predicting Antibiotic Resistance Genes. - Mohd Manzar Abbas; Amit Ranjan; Supratik Mukhopadhyay; Aixin Hou (IEEE Big Data, 2024)

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. - 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; et al. (ICML, 2024)

COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification. - Magesh Rajasekaran; Md Saiful Islam Sajol; Frej Berglind; Supratik Mukhopadhyay; Kamalika Das (SDM, 2024)

Application of time series analysis to improve the validity of Immersive virtual environments for collecting occupant thermal state and adaptive behavioral intention data. - Girish Rentala; Yimin Zhu; Supratik Mukhopadhyay (Adv. Eng. Informatics, 2024)

Near to Mid-term Risks and Opportunities of Open Source Generative AI. - 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; et al. (CoRR, 2024)

Risks and Opportunities of Open-Source Generative AI. - 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; et al. (CoRR, 2024)

MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction. - Amit Ranjan; Adam Bess; Chris Alvin; Supratik Mukhopadhyay (J. Chem. Inf. Model., 2024)

Parallelization of Garfield++ and neBEM to simulate space-charge effects in RPCs. - Tanay Dey; Purba Bhattacharya; Supratik Mukhopadhyay; Nayana Majumdar; Abhishek Seal; Subhasis Chattopadhyay (Comput. Phys. Commun., 2024)

Artificial Intelligence for Drug Discovery and Environmental Sciences. - Supratik Mukhopadhyay; Chris Alvin; Adam Bess (FLAIRS, 2025)