Publications

"Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data", Haoyu Li, Isaac Michaud, Ayan Biswas, Han-Wei Shen, PacificVis2024

"Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning", Biswas, Ayan; Bhattacharya, Arindam ; Chen, Yi-Tang ; Shen, Han Wei, IEEE Vis (LDAV) 2023; Melbourne, Australia 

“Explainable machine learning approaches for understanding fire outcomes”, Megan Booher, James Ahrens, Ayan Biswas, International Society for Optics and Photonics (SPIE) Optics and Photonics Conference ; 2023-08-20 - 2023-08-24 ; San Diego, California 

“Accelerated dynamic data reduction using spatial and temporal properties”., Hickman Fulp M, Fulp D, Zou C, Sanders C, Ayan Biswas et al. The International Journal of High Performance Computing Applications. 2023;37(5):539-559. doi:10.1177/10943420231180504 

"Scalar and Vector Topology in the SWMF", Morley, Steven Karl; Banesh, Divya; Klein, Natalie Elizabeth; Bujack, Roxana; Lawrence, Earl ChristopherORCID ; Biswas, Ayan, SWMF User Meeting ; 2023-03-02 - 2023-02-03 ; Ann Arbor, Michigan 

"Bayesian Calibration and Uncertainty Quantification of the PTW Parameters for Cerium", Plohr, JeeYeon Nam ; Francom, Devin Craig ; Sjue, Sky K. ; Walters, David J. ; Biswas, Ayan ; Luscher, Darby Jon; VanDervort, Lauren Joann, US national congress on computational mechanics ; 2023-07-23 - 2023-07-23 

IDLat: An Importance-Driven Latent Generation Method for Scientific Data, 
Shen, Jingyi et al., IEEE Vis 2022 and TVCG Journal, (published paper and conference presentation)
 

Madden-Julian Oscillation Impact on the Probability of Tropical Cyclone Related Extreme Precipitation, Bhowmick, Rupsa et al., American Meteorological Society Annual Meeting 2022 (Conference Presentation) 

Fast GP Estimation for In-situ Inference of Large Scale Climate Modeling with Statistical Machine Learning
, Panda, Nishant et al.
 American Geophysical Union (AGU) Fall Meeting 2022 (talk) 

A Hierarchical Sparse Gaussian Process for In Situ Inference in Expensive Physics Simulations, 
Rumsey, Kelin et al., SPIE 2022 

"Fast GP Estimation for In-situ Inference of Large Scale Climate Modeling with Statistical Machine Learning", Panda, Nishant ; Banesh, Divya ; Dey, Saikat ; Biswas, Ayan ; Van Roekel, Luke ; et al., American Geophysical Union (AGU) Fall Meeting ; 2022-12-12 - 2022-12-12 ; Chicago, United States 

Application Spotlight: "Data Analysis Methods for Climate Modeling of Extreme Weather Events", Session chairs: Divya Banesh, Ayan Biswas, James Benedict, Rupsa Bhowmick, Soumya Dutta, Michael Grosskopf, IEEE Vis 2022 

"Julia for HPC: In Situ data Analysis with Julia for Climate Simulations at Large Scale", Tang, Li ; Dutta, Soumya ; Klein, Natalie Elizabeth ; Wang, Wayne Yu ; Wolfe, Jonathan David ; et al., Open Journals: Proceedings of the JuliaCon Conferences, 2022

“Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data”, Hazarika, Subhashis, Biswas, Ayan, Lawrence, Earl, Wolfram, Philip J., Visualization in Environmental Sciences 2021 (EnvirVis 2021) 

"In-Situ Inference for Exascale Simulations with Julia", Ayan Biswas, Earl Lawrence et. al., JuliaCon 2021

"In-Situ Data Analysis with Julia for Earth System Simulation at Large Scale", Li Tang, Soumya Dutta, Earl lawerence, Ayan Biswas et al., Juliacon 2021 

"Unsupervised Clustering and In-situ Feature Tracking in Magnetospheric Simulation", Subhashis Hazarika, Li Tang, Ayan Biswas, et al., 2nd Eddy Cross Disciplinary Symposium, 2021 

"Objective and scalable feature identification and analysis in high-resolution simulations: Application to bursty bulk flows", Steve Morley, Natalie Klein, Ayan Biswas et al., AGU Fall Meeting 2021 

"Estimating a Spatial Inference Model to a Climate Simulation In-Situ with Sparse Gaussian Processes", Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan Urban, ISAV 2021, Workshop co-located with Supercomputing 2021 

"In Situ Climate Modeling for Analyzing Extreme Weather Events", Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan Urban, ISAV 2021, Workshop co-located with Supercomputing 2021 

"TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations", Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova; Michael Henderson, Ayan Biswas, Earl Lawrence, 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7), St. Louis, MO, USA, 2021

"Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis", Ayan Biswas , Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James Ahrens, IEEE Transactions on Visualization and Computer Graphics. 

"Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case", Ayan Biswas, James Ahrens, Soumya Dutta, Jordan Musser, Ann Almgren, Terece Louise Turton, Computing in Science & Engineering. 

"Foresight: Analysis That Matters for Data Reduction", Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James Ahrens, Supercomputing 2020. 

"Cinema: Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments",Daniel Orban, Divya Banesh, Cameron Tauxe, Christopher M Biwer, Ayan Biswas, Ramon Saavedra, Christine Sweeney, Richard L Sandberg, CA Bolme, James Ahrens, David Rogers.

"Enhancing the Visualization of Laue Diffraction for Analyzing Strength Model Parameters", Ayan Biswas, David J Walters, Devin Craig Francom, Sky K Sjue, Earl Christopher Lawrence, John L Barber, James Paul Ahrens, Cynthia Anne Bolme, Kyle James Ramos, Darby Jon Luscher.

"Multivariate Pointwise Information-driven Data Sampling and Visualization", Soumya Dutta, Ayan Biswas, James Ahrens, Entropy journal, 2019. 

"Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations",Qun Liu, Subhashis Hazarika, John M Patchett, James Paul Ahrens, Ayan Biswas, Supercomputing Poster.

"Parameter Tuning and Physics Model Comparison Using Statistical Learning",  Devin Craig Francom, Earl Christopher Lawrence, Ayan Biswas, David J Walters, Sky K Sjue, Darby Jon Luscher, James Paul Ahrens.

"Fast Strength Model Parameter Optimization and Model Comparison Using Bayesian Statistics", Ayan Biswas, David Walters, Devin Francom, Earl Lawrence, Darby Luscher, Sky Sjue, James Ahrens, Journal Bulletin of the American Physical Society. 

"Workflow and visual analysis for XFEL shock physics experiments using Cinema: Bandit",Cynthia Bolme, Daniel Orban, Divya Banesh, Cameron Tauxe, Chris Biwer, Ayan Biswas, Ramon Saavedra, Christine Sweeney, Richard Sandberg, James Ahrens, David Rogers,Bulletin of the American Physical Society.

“An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study”, Ayan Biswas, Christopher M. Biwer, David J. Walters, James Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, and Cynthia Bolme, Computing in Science and Engineering (CISE) 2018. 

“In Situ Data-Driven Adaptive Sampling for Large-scale Simulation Data Summarization”, Ayan Biswas, Soumya Dutta, Jesus Pulido, and James Ahrens, In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2018), co-located with Supercomputing 2018. 

“A Flexible System for In Situ Triggers”, Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, and Hank Childs. (**Best Paper**),  In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2018), co-located with Supercomputing 2018. 

“Bayesian calibration of strength parameters using hydrocode simulations of symmetric impact shock experiments of Al-5083”, David J Walters, Ayan Biswas, Earl C Lawrence, Devin C Francom, Darby J Luscher, D Anthony Fredenburg, Kelly R Moran, Christine M Sweeney, Richard L Sandberg, James P Ahrens, CA Bolme , Journal of Applied Physics, Volume 124, 2018. 

"Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators", Ayan Biswas, Kelly R. Moran, Earl Lawrence, and James Ahrens, IEEE Vis (Scivis Short papers), 2018, Berlin, Germany

“Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets”,  Subhashis Hazarika, Ayan Biswas, Soumya Dutta, and Han-Wei Shen, Information Theory Application in Visualization.

“Drag and Track:  A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space: Application to Shock Physics”, Dan Orban, Dan Keefe, Ayan Biswas, James Ahrens, and David Rogers, IEEE Vis 2018, Berlin, Germany, also on IEEE Transactions on Visualization and Computer Graphics, 2018.

"Pointwise Information Guided Visual Analysis of Time-varying Multi-fields", Soumya Dutta, Xiaotong Liu, Ayan Biswas, Jen-Ping Chen and Han-Wei Shen, Siggraph Asia Symposium on Visualization 2017, Bangkok Thailand.

"Uncertainty Visualization Using Copular-Based Analysis in Mixed Distribution Models", Subhashis Hazarika, Ayan Biswas, and Han-Wei Shen, IEEE Vis 2017, Phoenix.

"Visualization of Time-Varying Weather Ensembles Across Multiple Resolutions", Ayan Biswas, Guang Lin, Xiaotong Liu and Han-Wei Shen, IEEE Vis 2016, Baltimore.

"A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction", Ayan Biswas, Richard Strelitz, Jonathan Woodring, Chun-Ming Chen, and Han-Wei Shen, EGPGV 2016, Groningen, Netherlands. 

"An Uncertainty-Driven Approach to Vortex Analysis Using Oracle Consensus and Spatial Proximity", Ayan Biswas, David Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, and Anand Rangarajan, PacificVis 2015, Hangzhou, China.

"Efficient Local Histogram Searching via Bitmap Indexing", Tzu-Hsuan Wei, Chun-Ming Chen and Ayan Biswas, EuroVis 2015, Italy. 

"Uncertainty Modeling and Error Reduction for Pathline Computation in Time-varying Flow Fields", Chun-Ming Chen, Ayan Biswas and Han-Wei Shen, PacificVis 2015, Hangzhou, China.

"Evaluation of Stream Surfaces Using Error Quantification Metrics", Ayan Biswas and Han-Wei Shen, SPIE VDA 2014, San Francisco, California.

"Supporting Correlation Analysis on Scientific Datasets in Parallel and Distributed Settings", Yu Su, Gagan Agarwal, Jonathan Woodring, Ayan Biswas, and Han-Wei Shen, HPDC 2014.

"An Information-aware Framework for Exploring Multivariate Data Sets", Ayan Biswas, Soumya Dutta, Han-Wei Shen, Jonathan Woodring, IEEE Vis 2013, Atlanta, Georgia.