Subhashis Hazarika

29 papers A 2B 1C 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics. J. Comput. Inf. Sci. Eng. Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Rahul Rai
2025	—	`conf`	SWR-Viz: AI-Assisted Interactive Visual Analytics Framework for Ship Weather Routing. ISVC (2) Subhashis Hazarika, Leonard Lupin-Jimenez, Rohit Vuppala, Ashesh Chattopadhyay, Hon Yung Wong
2025	J	`jnl`	SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing. CoRR Subhashis Hazarika, Leonard Lupin-Jimenez, Rohit Vuppala, Ashesh Chattopadhyay, Hon Yung Wong
2025	J	`jnl`	Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators. CoRR Leonard Lupin-Jimenez, Moein Darman, Subhashis Hazarika, Tianning Wu, Michael Gray, Ruyoing He, Anthony Wong, Ashesh Chattopadhyay
2025	J	`jnl`	The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. 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, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2024	J	`jnl`	Are Generative AI systems Capable of Supporting Information Needs of Patients? CoRR Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan
2024	—	`conf`	Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. SC Workshops 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
2024	J	`jnl`	Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. Neural Comput. Appl. Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Ankur Bhatt, Brian Gainey, Benjamin Lawler, Rahul Rai
2024	A	`conf`	XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework. CIKM Geonhee Ahn, Md. Mahim Anjum Haque, Subhashis Hazarika, Soo Kyung Kim
2023	J	`jnl`	Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. CoRR Haruki Hirasawa, Soo Kyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Rühling Cachay, Dipti Hingmire, Kalai Ramea, Hansi A. Singh, Philip J. Rasch
2023	A	`conf`	Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CIKM Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh
2023	J	`jnl`	Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CoRR Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh
2023	—	`conf`	HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. IEEE VIS (Short Papers) Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch
2023	J	`jnl`	HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. CoRR Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch
2023	—	`conf`	Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. AIAI (2) Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai
2021	—	`conf`	Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram
2020	J	`jnl`	NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. IEEE Trans. Vis. Comput. Graph. Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou
2020	—	`conf`	Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban
2020	J	`jnl`	Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban
2020	J	`jnl`	Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. Vis. Informatics Piyush Chawla, Subhashis Hazarika, Han-Wei Shen
2019	J	`jnl`	CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data. IEEE Trans. Vis. Comput. Graph. Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen
2019	J	`jnl`	Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas
2019	J	`jnl`	NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. CoRR Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou
2019	J	`jnl`	Visualization and Visual Analysis of Ensemble Data: A Survey. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen
2018	J	`jnl`	Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen
2018	J	`jnl`	Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. Subhashis Hazarika, Ayan Biswas, Han-Wei Shen
2016	B	`conf`	Visualizing the variations of ensemble of isosurfaces. PacificVis Subhashis Hazarika, Soumya Dutta, Han-Wei Shen
2015	—	`conf`	Visualizing the life and anatomy of dark matter. SciVis Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur
2012	C	`conf`	GRP_CH Heuristic for Generating Random Simple Polygon. IWOCA Sanjib Sadhu, Subhashis Hazarika, Kapil Kumar Jain, Saurav Basu, Tanmay De