Talks

[24] Paper presentation at 6th International Workshop on In Situ Visualization -- held in conjunction with ISC High Performance, June 2022

Title: In Situ Analysis and Visualization of Extreme-Scale Particle Simulations

[23] Project progress talk at Exascale Computing Project (ECP) Community Birds-of-a-Feather (BOF) Days, May 2022

Title: ALPINE Infrastructure and Algorithms

[22] Lightning paper talk at DOE ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, & Communication, Jan. 2022

Title:Model-based Visual Analytics of Big Data: Challenges and Opportunities

[21] Paper presentation at IEEE International Conference on Big Data (IEEE BigData), December 2021

Title: In Situ Adaptive Spatio-Temporal Data Summarization

[20] Paper presentation at In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV), November 2021

Title: In Situ Climate Modeling for Analyzing Extreme Weather Events

[19] Invited talk hosted by the E.C.E. Department of Netaji Subhash Engineering College (NSEC), India, November 2021

Title: Data Exploration at Exascale: Challenges, Solutions, and Opportunities

[18] Lightning talk at JuliaCon, July 2021

Title: In-Situ Data Analysis with Julia for E3SM at Large Scale

[17] Invited as a panel member: NSF Center on Pervasive Personalized Intelligence for IoT Systems Scale-up, June 2021

Title: Opportunities and challenges on using Data Visualization

[16] Invited talk at Los Alamos - Arizona Days Conference, May 2021

Title: Statistical Techniques for Enabling Extreme-scale Data Summarization, Feature Exploration, and Visual Analysis

[15] Invited talk at Information Sciences Group (CCS-3), Los Alamos National Laboratory, May 2021

Title: Statistical and Machine Learning Techniques for Enabling Extreme-scale Data Summarization, Feature Exploration, and Visual Analysis

[14] Early career research talk at U.S. Department of Energy Computer Graphics Forum (DOECGF), April 2021

Title: Extreme-scale Data Reduction, Feature Exploration, and Visual Analysis

[13] U.S. Department of Energy Computer Graphics Forum (DOECGF), April 2021

Title: Facilities and Research Update for Los Alamos National Laboratory

[12] 5th Exascale Computing Project (ECP) Annual Meeting, April 2021

Title: In Situ Scalable Data Reduction and Feature Exploration Algorithms for Exascale Simulations

[11] LDRD: In Situ Inference, Los Alamos National Lab, Project review. December 2020

Title: In Situ Climate Modeling and Analysis

[10] 4th Exascale Computing Project (ECP) Annual Meeting, February 2020

Title: In situ Statistical Feature Detection, Characterization, and Tracking

[9] Tutorial: ACM SIGGRAPH Asia Symposium on Visualization, November 2017

Title: Information Theory in Visualization (Co-delivered a tutorial session on behalf of Prof. Han-Wei Shen)

[8] Paper presentation at ACM SIGGRAPH Asia Symposium on Visualization, November 2017

Title: Pointwise Information Guided Visual Analysis of Time-varying Multi-fields

[7] Applied Computer Science Group (CCS-7), Los Alamos National Laboratory, August 2017

Title: Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models

[6] Paper presentation at IEEE Pacific Visualization, April 2017

Title: Homogeneity Guided Probabilistic Data Summaries for Analysis and Visualization of Large-Scale Data Sets

[5] Paper presentation at IEEE Visualization, October 2016

Title: In situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations

[4] Applied Computer Science Group (CCS-7), Los Alamos National Laboratory, August 2016

Title: Improved Distribution Guided Data Summarization

[3] Invited talk at Statistical Sciences Group (CCS-6), Los Alamos National Laboratory, July 2016

Title: Distribution driven data analysis and visualization

[2] Paper presentation at IEEE Visualization, October 2015

Title: Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis

[1] Applied Computer Science Group (CCS-7), Los Alamos National Laboratory, July 2015

Title: A Generalized Framework for Comparing across Data Representations