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Amal Agarwal

Amal Agarwal

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418 Thomas Building
University Park, PA 16802
Phone: (814) 865-3230


  1. Dual Degree (B.Tech.+ M.Tech.) in Engineering Physics with Minor in Statistics
  2. Indian Institute of Technology (IIT) Bombay
  3. August 2014


I am currently a 4th year graduate research assistant (ABD) at Department of Statistics in Pennsylvania State University. To know more about me, please visit my website.

Selected Publications

  • Detecting the effects of coal mining, acid rain, and natural gas extraction in Appalachian basin streams in Pennsylvania (U.S.A.) through analysis of barium and sulfate concentrations
    Xianzeng Niu, Anna Wendt, Zhenhui Li, Amal Agarwal, Lingzhou Xue, and Susan L. Brantley.
    Environmental Geochemistry and Health Journal, 1-21, 2017.
  • Asymmetric flows in the intercellular membrane during cytokinesis
    Vidya V. Menon, Soumya S S, Amal Agarwal, Sundar R. Naganathan, Mandar M. Inamdar, and Anirban Sain.
    Biophysical Journal, 113 (12), 2787-2795, 2017.
  • Discovery of Causal Time Intervals
    Zhenhui Li, Guanjie Zheng, Amal Agarwal and Lingzhou Xue. 
    SDM’17: the Seventeenth SIAM International Conference on Data Mining, 804-812, 2017.
  • Bayesian inversion and sequential Monte Carlo sampling techniques applied to nearfield acoustic sensor arrays
    MR Bai, A Agarwal, CC Chen, YC Wang.
    The Journal of the Acoustical Society of America 136 (4), 2084-2084, 2014.
  • Bayesian approach of nearfield acoustic reconstruction with particle filters
    MR Bai, A Agarwal, CC Chen, YC Wang. 
    The Journal of the Acoustical Society of America 133 (6), 4032-4043, 2013.

Research Interests

Currently I am working on several exciting research topics under the advisorship of Dr. Lingzhou Xue.

My primary research interests include

  • Statistical Machine Learning and Deep Neural networks
  • Model based clustering in massive dynamic networks
  • Bayesian Analysis and MCMC algorithms
  • Statistical Computing
  • Statistical Applications in Business Analytics, Recommendation Systems, and Engineering

My collaborative research interests include

  • Data Mining applications to Geosciences
  • Building Data Visualization tools using R Shiny

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