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

2016, Dec 11: My paper "Enabling Discovery Through Visual Exploration: An Introduction to Data Visualization & Its Applications appears in the ACM SIGCAS Newsletter.

2016, Apr 22: Our paper "Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion" has been adjudged the Best Paper at IEEE Pacific Visualization Symposium, 2016, at Taipei, Taiwan.

2016, Apr 21: I have released v1.0 of our visualization tool for trajectory exploration under LGPL at github.

2016, Jan 26: Two of our papers "Interactive Exploration of Atomic Trajectories Through Relative-Angle Distribution and Associated Uncertainties", and "Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion" have been accepted for publication at IEEE Pacific Visualization to be held at Taipei, Taiwan in Apr 2016.

2015, Dec 23: Check out my academic geneology.

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