I am from Kolkata (Calcutta), India. Currently, I am working as a postdoc research associate in the Data Science at Scale team of Los Alamos National Laboratory. At LANL, I am working on multiple DOE funded exa-scale data analytics projects with Dr. Roxana Bujack and Dr. James Ahrens. I obtained my Ph.D. from the Department of Computer Science and Engineering at The Ohio State University in May 2018. At Ohio State, I worked under the supervision of Dr. Han-Wei Shen in the Gravity (GRAphics & VIsualization sTudY) research group. Before joining Ohio State, I completed my B. Tech. in Electronics and Communication Engineering from West Bengal University of Technology, Kolkata, India. During my undergraduate years, I worked under of Dr. Bidyut B. Chaudhuri and Dr. Madhurima Chattopadhyay.

Here is my latest [CV] [Google Scholar]

Research Interest:

(1) Large-scale data analysis and visualization; (2) In situ data analysis, visualization, and feature exploration; (3) Statistical data summarization and analysis; (4) Uncertainty analysis and visualization; (5) Time-varying, multivariate data analysis and visualization.

Education:

M.S. & Ph.D.

Computer Graphics and Visualization

The Ohio State University

2011 - 2018


B. Tech.

Electronics and Communication Engineering

West Bengal University of Technology

2005- 2009

Research Experience:

1. Los Alamos National Laboratory

Data Science at Scale Team

Postdoctoral Research Associate

June 2018 - Current

3. The Ohio State University

Department of Computer Science and Engineering

Graduate Research Associate (GRA) under Dr. Han-Wei Shen

GRAVITY Group

Aug 2013 - May 2018

5. Indian Statistical Institute

Research Intern under Dr. Bidyut B. Chaudhuri

Computer Vision and Pattern Recognition Unit

Dec. 2008 - Sep. 2009


2. Los Alamos National Laboratory

Data Science at Scale Team

Summer Student Intern under Dr. Jonathan Woodring and Dr. James Ahrens

May - July 2015; May - August 2016; May-August 2017.

4. Research Internship under Dr. Madhurima Chattopadhyay

Image Processing and Pattern Recognition

2010-2011

Teaching Experience:

  1. Teaching assistant for Real Time Rendering
  2. Teaching assistant for Introduction to database
  3. Lab Instructor for Modeling and problem solving with spreadsheets and databases

Academic Services:

Program/Organization Committee Member:

  1. IEEE Visualization: Open Practices Chair (SciVis) (IEEEVIS 2019)
  2. IEEE Symposium on Large Data Analysis and Visualization (LDAV 2019)
  3. Visualization in Environmental Sciences Workshop (EnvirVis 2019)
  4. IEEE SciVis Short Papers 2019
  5. International Symposium on Visual Computing (ISVC 2019)
  6. International Conference on Applications and Systems of Visual Paradigms (VISUAL 2017, 2018, 2019)

Reviewer:

  1. IEEE Transactions on Visualization and Computer Graphics (TVCG)
  2. IEEE Visualization (IEEEVis)
  3. ACM Conference on Human Factors in Computing Systems (CHI)
  4. EG/VGTC Conference on Visualization (EuroVis)
  5. IEEE Pacific Visualization Symposium (PacificVis)
  6. Elsevier Knowledge-based Systems
  7. IEEE Symposium on Large Data Analysis and Visualization (LDAV)
  8. Visualization in Environmental Sciences (EnvirVis)
  9. Sustainability
  10. International Journal of Computers and Applications
  11. International Conference on Applications and Systems of Visual Paradigms (VISUAL)
  12. China Visualization Conference (ChinaVis)

Courses Taken:

  1. CSE 5559: High Performance Visualization for Large-Scale Scientific Data Analytics by Prof. Han-Wei Shen. Here are some outputs.
  2. CSE 6332: Advanced Algorithms by Prof. Anastasios (Tasos) Sidiropoulos
  3. CSE 6441: Parallel Computing by Prof. P. Sadayappan
  4. CSE 5441: Introduction to Parallel Computing by Prof. P. Sadayappan.
  5. CSE 6321: Computability and Complexity by Prof. Luis Rademacher.
  6. CSE 5542: Real Time Rendering by Prof. Han-Wei Shen. Here are some outputs.
  7. CSE 5544: Visualization by Prof. Raghu Machiraju.
  8. CSE 775: Computer Systems Architecture by Prof. Christopher Charles Stewart
  9. CSE 784: Geometric Modelling by Prof. Tamal Dey. Here are some outputs of different geometric modeling algorithms.
  10. CSE 755: Programming Languages by Prof. Neelam Soundarajan
  11. CSE 760: Advanced Operating Systems by Prof. Feng Qin
  12. CSE 780: Analysis of Algorithms by Prof. Yusu Wang.
  13. CSE 681: Introduction to Computer Graphics by Prof. Han-Wei Shen. Here are some outputs of my ray tracer.