An Information-Aware Framework for Exploring Multivariate Data Sets. - Ayan Biswas; Soumya Dutta; Han-Wei Shen; Jonathan Woodring (IEEE Trans. Vis. Comput. Graph., 2013)

Supporting correlation analysis on scientific datasets in parallel and distributed settings. - Yu Su 011; Gagan Agrawal; Jonathan Woodring; Ayan Biswas; Han-Wei Shen (HPDC, 2014)

Evaluation of stream surfaces using error quantification metrics. - Ayan Biswas; Han-Wei Shen (Visualization and Data Analysis, 2014)

An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. - Ayan Biswas; David S. Thompson; Wenbin He; Qi Deng; Chun-Ming Chen; Han-Wei Shen; Raghu Machiraju; Anand Rangarajan 001 (PacificVis, 2015)

Uncertainty modeling and error reduction for pathline computation in time-varying flow fields. - Chun-Ming Chen; Ayan Biswas; Han-Wei Shen (PacificVis, 2015)

Efficient Local Histogram Searching via Bitmap Indexing. - Tzu-Hsuan Wei; Chun-Ming Chen; Ayan Biswas (Comput. Graph. Forum, 2015)

A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction. - Ayan Biswas; Richard Strelitz; Jonathan Woodring; Chun-Ming Chen; Han-Wei Shen (EGPGV@EuroVis, 2016)

Pointwise information guided visual analysis of time-varying multi-fields. - Soumya Dutta; Xiaotong Liu; Ayan Biswas; Han-Wei Shen; Jen-Ping Chen (SIGGRAPH Asia Symposium on Visualization, 2017)

Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. - Ayan Biswas; Guang Lin 001; Xiaotong Liu; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2017)

Adaptive Bus Encoding for Transition Reduction on Off-Chip Buses With Dynamically Varying Switching Characteristics. - Sumantra Sarkar; Ayan Biswas; Anindya Sundar Dhar; Rahul M. Rao (IEEE Trans. Very Large Scale Integr. Syst., 2017)

In situ data-driven adaptive sampling for large-scale simulation data summarization. - Ayan Biswas; Soumya Dutta; Jesus Pulido; James P. Ahrens (ISAV@SC, 2018)

A flexible system for in situ triggers. - Matthew Larsen; Amy Woods; Nicole Marsaglia; Ayan Biswas; Soumya Dutta; Cyrus Harrison; Hank Childs (ISAV@SC, 2018)

Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. - Ayan Biswas; Kelly R. Moran; Earl Lawrence; James P. Ahrens (SciVis, 2018)

Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons. - Baibhab Chatterjee; Priyadarshini Panda; Shovan Maity; Ayan Biswas; Kaushik Roy 001; Shreyas Sen (CoRR, 2018)

Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. - Subhashis Hazarika; Ayan Biswas; Soumya Dutta; Han-Wei Shen (Entropy, 2018)

Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. - Subhashis Hazarika; Ayan Biswas; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2018)

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. - Qun Liu; Subhashis Hazarika; John M. Patchett; James Paul Ahrens; Ayan Biswas (CoRR, 2019)

Multivariate Pointwise Information-Driven Data Sampling and Visualization. - Soumya Dutta; Ayan Biswas; James P. Ahrens (Entropy, 2019)

Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. - Daniel Orban; Daniel F. Keefe; Ayan Biswas; James P. Ahrens; David H. Rogers 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons. - Baibhab Chatterjee; Priyadarshini Panda; Shovan Maity; Ayan Biswas; Kaushik Roy 001; Shreyas Sen (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Combining Spatial and Temporal Properties for Improvements in Data Reduction. - Megan Hickman Fulp; Ayan Biswas; Jon C. Calhoun (IEEE BigData, 2020)

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 001; Daniel Livescu; James P. Ahrens (SC, 2020)

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. - Subhashis Hazarika; Ayan Biswas; Phillip J. Wolfram; Earl Lawrence; Nathan M. Urban (IEEE VIS (Short Papers), 2020)

An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. - Ayan Biswas; Christopher M. Biwer; David J. Walters; James P. Ahrens; Devin Francom; Earl Lawrence; Richard L. Sandberg; D. Anthony Fredenburg; Cynthia Bolme (Comput. Sci. Eng., 2020)

Topological Segmentation and Tracking for Space Weather Modeling. - Divya Banesh; Natalie Klein; Steven Morley; Ayan Biswas; Vania Jordanova; Michael Henderson; Earl Lawrence (IEEE BigData, 2021)

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. - Divya Banesh; Nishant Panda; Ayan Biswas; Luke Van Roekel; Diane Oyen; Nathan M. Urban; Michael Grosskopf; Jonathan David Wolfe; Earl Lawrence (IEEE BigData, 2021)

An Automated and Process-Portable Generator for Phase-Locked Loop. - Zhongkai Wang; Minsoo Choi 002; Eric Chang; John Charles Wright; Wooham Bae; Sijun Du; Zhaokai Liu; Nathan Narevsky; Colin Schmidt 001; Ayan Biswas; Borivoje Nikolic; Elad Alon (DAC, 2021)

Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. - Subhashis Hazarika; Ayan Biswas; Earl Lawrence; Philip J. Wolfram (EnvirVis@EuroVis, 2021)

A 16mm2 106.1 GOPS/W Heterogeneous RISC-V Multi-Core Multi-Accelerator SoC in Low-Power 22nm FinFET. - Abraham Gonzalez; Jerry Zhao; Ben Korpan; Hasan Genc; Colin Schmidt 001; John Charles Wright; Ayan Biswas; Alon Amid; Farhana Sheikh; Anton Sorokin; Sirisha Kale; Mani Yalamanchi; et al. (ESSCIRC, 2021)

8 An Output-Bandwidth-Optimized 200Gb/s PAM-4 100Gb/s NRZ Transmitter with 5-Tap FFE in 28nm CMOS. - Minsoo Choi 002; Zhongkai Wang; Kyoungtae Lee; Kwanseo Park; Zhaokai Liu; Ayan Biswas; Jaeduk Han; Elad Alon (ISSCC, 2021)

In Situ Climate Modeling for Analyzing Extreme Weather Events. - Soumya Dutta; Natalie Klein; Li Tang 007; Jonathan David Wolfe; Luke Van Roekel; James Joseph Benedict; Ayan Biswas; Earl Lawrence; Nathan M. Urban (ISAV@SC, 2021)

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. - Michael Grosskopf; Earl Lawrence; Ayan Biswas; Li Tang 007; Kelin Rumsey; Luke Van Roekel; Nathan M. Urban (ISAV@SC, 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 (DRBSD@SC, 2021)

BBM92 quantum key distribution over a free space dusty channel of 200 meters. - Sarika Mishra; Ayan Biswas; Satyajeet Patil; Pooja Chandravanshi; Vardaan Mongia; Tanya Sharma; Anju Rani; Shashi Prabhakar; Ravindra Pratap Singh (CoRR, 2021)

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. - Ayan Biswas; James P. Ahrens; Soumya Dutta; Jordan M. Musser; Ann S. Almgren; Terece L. Turton (Comput. Sci. Eng., 2021)

Information transmission in a two-step cascade: interplay of activation and repression. - Tuhin Subhra Roy; Mintu Nandi; Ayan Biswas; Pinaki Chaudhury; Suman K. Banik (Theory Biosci., 2021)

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. - Ayan Biswas; Soumya Dutta; Earl Lawrence; John Patchett; Jon C. Calhoun; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2021)

A 200Gb/s PAM-4 Transmitter with Hybrid Sub-Sampling PLL in 28nm CMOS Technology. - Zhongkai Wang; Minsoo Choi 002; Paul Kwon; Kyoungtae Lee; Bozhi Yin; Zhaokai Liu; Kwanseo Park; Ayan Biswas; Jaeduk Han; Sijun Du; Elad Alon (VLSI Technology and Circuits, 2022)

An efficient PMOS-based LDO design for large loads. - Arijit Saha; Ayan Biswas (CoRR, 2022)

An Output Bandwidth Optimized 200-Gb/s PAM-4 100-Gb/s NRZ Transmitter With 5-Tap FFE in 28-nm CMOS. - Zhongkai Wang; Minsoo Choi 002; Kyoungtae Lee; Kwanseo Park; Zhaokai Liu; Ayan Biswas; Jaeduk Han; Sijun Du; Elad Alon (IEEE J. Solid State Circuits, 2022)

Characterizing Face Recognition for Resource Efficient Deployment on Edge. - Ayan Biswas; Sai Amrit Patnaik; A. H. Abdul Hafez; Anoop M. Namboodiri (ICCV (Workshops), 2023)

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

Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. - Derek DeSantis; Ayan Biswas; Earl Lawrence; Phillip Wolfram (CoRR, 2023)

Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture. - Ayan Biswas; Supriya Dhabal; Palaniandavar Venkateswaran (CoRR, 2023)

Design of a Low-Power High-Gain Bio-Medical Operational Amplifier in 65nm Technology using gm/ID Methodology. - Ayan Biswas; Supriya Dhabal; Palaniandavar Venkateswaran (CoRR, 2023)

IDLat: An Importance-Driven Latent Generation Method for Scientific Data. - Jingyi Shen; Haoyu Li; Jiayi Xu 001; Ayan Biswas; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2023)

Accelerated dynamic data reduction using spatial and temporal properties. - Megan Hickman Fulp; Dakota Fulp; Changfeng Zou; Cooper Sanders; Ayan Biswas; Melissa C. Smith; Jon C. Calhoun (Int. J. High Perform. Comput. Appl., 2023)

Quantum Communications Feasibility Tests over a UK-Ireland 224 km Undersea Link. - Ben Amies-King; Karolina P. Schatz; Haofan Duan; Ayan Biswas; Jack Bailey; Adrian Felvinti; Jaimes Winward; Mike Dixon; Mariella Minder; Rupesh Kumar; Sophie Albosh; Marco Lucamarini (Entropy, 2023)

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. - Manish Bhattarai; Javier E. Santos; Shawn Jones; Ayan Biswas; Boian S. Alexandrov; Daniel O'Malley (HPEC, 2024)

A 24.6-29.6GHz Hybrid Sub-Sampling PLL with Tri-State Integral Path Achieving 44fs Jitter and -254.8dB FOM in 28nm CMOS. - Zhongkai Wang; Minsoo Choi 002; Paul Kwon; Zhaokai Liu; Bozhi Yin; Kyoungtae Lee; Kwanseo Park; Ayan Biswas; Jaeduk Han; Sijun Du; Elad Alon (ISCAS, 2024)

Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. - Haoyu Li; Isaac J. Michaud; Ayan Biswas; Han-Wei Shen (PacificVis, 2024)

Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. - Ayan Biswas; Aditi Mishra; Meghanto Majumder; Subhashis Hazarika; Alexander Most; Juan Castorena; Christopher Bryan; Patrick S. McCormick; James P. Ahrens; Earl Lawrence; Aric A. Hagberg (SC Workshops, 2024)

Explainable AI Integrated Feature Engineering for Wildfire Prediction. - Di Fan; Ayan Biswas; James Paul Ahrens (CoRR, 2024)

A UCIe Optical I/O Retimer Chiplet for AI Scale-up Fabrics. - Pavan Bhargava; Sidney Buchbinder; Dorde Gluhovic; Kaisarbek Omirzakhov; Ayan Biswas; Daniel Jeong; Clay Pearson; Austin Katzin; Eric Jan; Derek Van Orden; Hayk Gevorgyan; Anatoly Khilo; et al. (OFC, 2025)

Deep metric learning for soil organic matter prediction: A novel similarity-based approach using smartphone-captured images. - Mojtaba Naeimi; Vishvam Porwal; Stacey Scott; Maja Krzic; Prasad Daggupati; Hiteshkumar Bhogilal Vasava; Daniel D. Saurette; Ayan Biswas; Abhinandan Roul; Asim Biswas (Comput. Electron. Agric., 2025)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)

BAG3++: An Extensible Generator Framework for Automated Layout-Aware AMS Design. - Felicia Guo; Bob L. Zhou; Ayan Biswas; Paul Kwon; Zhaokai Liu; Ken Ho; Vladimir Stojanovic; Borivoje Nikolic (IEEE Open J. Circuits Syst., 2025)

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study. - Nishath Rajiv Ranasinghe; Shawn M. Jones; Michal Kucer; Ayan Biswas; Daniel O'Malley; Alexander Most; Selma Liliane Wanna; Ajay Sreekumar (CoRR, 2025)

Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval. - Alexander Most; Joseph Winjum; Ayan Biswas; Shawn M. Jones; Nishath Rajiv Ranasinghe; Dan O'Malley; Manish Bhattarai (CoRR, 2025)

A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling. - Michael Grosskopf; Kellin N. Rumsey; Ayan Biswas; Earl Lawrence (CoRR, 2025)

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. - Ayan Biswas; Terece L. Turton; Nishath Rajiv Ranasinghe; Shawn M. Jones; Bradley Love; William M. Jones; Aric A. Hagberg; Han-Wei Shen; Nathan DeBardeleben; Earl Lawrence (CoRR, 2025)