Harsh Bhatia

Harsh Bhatia

Computer Scientist
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory

hbhatia at llnl dot gov  |    View Harsh Bhatia's Google Scholar profile View Harsh Bhatia's LinkedIn profile View Harsh Bhatia's ResearchGate profile

Lawrence Livermore National Laboratory, P.O. Box 808, L-478, Livermore, CA - 94551

About Me

My research interests lie in the analysis and visualization of data. We live in the era of big data revolution; the large amounts of data generated around the globe every day contain abundant information that we must extract and understand. Understanding data through visual and/or analytical means can impact human growth in a variety of disciplines, ranging from but not limited to understanding the universe to tracing our origin, from bettering the socio-economic progress to understanding the spread and causes of a disease, from taking us to Mars to optimizing business practices. The importance of data analysis and visualization is conveyed by the quote: "Without understanding data, you're just another person with an opinion!"

I am interested in playing with data of a wide variety, and contribute to enhance the fields of scientific and information visualization. A gamut of other research areas fascinate me. Given some spare time from my current work and responsibilities, I would like to be involved in Mathematical Modeling & Simulation, Probability Theory & Stochastic Processes, Markov Models & Queueing Theory, Computational Geometry, & Algorithms.

My current focus at LLNL is the topological analysis of the behavior of Lithium ions in different electrolytes, simulated at LLNL using first-principles molecular dynamics. This project is a partnership between SDAV and the BES program of SciDAC. As a part of my Ph.D. research, I developed tools for consistent feature extraction from vector field data, which can be used for a broad spectrum of applications ranging from combustion to weather, aerodynamics to cosmology, etc. I have worked extensively on theoretical and computational frameworks for robust analysis of vector fields.

Awards and Honors

  1. Won the Best paper award at the IEEE Pacific Visualization Symposium 2016, Taipei, Taiwan

  2. Selected as a promising young researcher to attend the 2nd Heidelberg Laureate Forum to meet with some of the preeminent scientists in mathematics and computer science in September 2014 in Heidelberg, Germany

  3. Won a four year graduate fellowship for independent research by Lawrence Livermore National Laboratory, USA, under the Livermore Graduate Scholar Program

  4. Won the Best paper award at the IEEE Pacific Visualization Symposium 2011, Hong Kong

  5. 2007 Won the 3rd prize worldwide in the RedHat Challenge for a technical business idea, only after Massachusetts Institute of Technology (USA) and McGill University (Canada)

      Curriculum Vitae

Latest News

2018, May 06: Our paper "TopoMS: Comprehensive Topological Exploration for Molecular and Condensed-Matter Systems" appears in the Journal of Computational Chemistry, and is selected for the cover image.

2018, Mar 23: Our paper "Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope" has been accepted for publication in Computer Graphics Forum, to be presented at EuroVis 2018 on Jun 09, 2018.

2017, Dec 01: Our paper "Computational Lipidomics of the Neuronal Plasma Membrane" has been selected for the Best of 2017 collection of the Biophysics Journal.

2017, Nov 03: Our paper "Computational Lipidomics of the Neuronal Plasma Membrane" has been appears in Biophysics Journal, and is selected for the cover image.

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