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Amal Agarwal

Amal Agarwal

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418 Thomas Building
University Park, PA 16802
Phone: (814) 441-2119

Education

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

Biography:

I am currently a 5th year graduate research assistant (ABD) at Department of Statistics in Pennsylvania State University. To know more about me, please visit my website.

Selected Publications

I only list, reverse chronologically, rigorously peer-reviewed/submitted, full-length papers at reputable journals or conferences. Note that I exclude all short workshop/conference papers, poster/talk abstracts and papers with little/no review.

  • Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis 
    Amal Agarwal
    and Lingzhou Xue.
    To appear in Technometrics...
  • Slight Degradation in Groundwater Quality in the Region of Longstanding Oil and Gas Development in the Marcellus Shale Area
    Tao Wen, Amal Agarwal (co-first author), Lingzhou Xue, Alex Chen, Alison Herman, Zhenhui Li and Susan L. Brantley.
    To Appear in Environmental Science: Processes and Impacts...
  • 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.

Primary Research Interests:

  1. Large scale network analysis
    • Time Evolving Community Detection in Dynamic Networks
    • Non-Parametric Clustering of Weighted Networks
  2. Statistical Machine Learning
  3. Variational Inference
  4. Stochastic Optimization
  5. Bayesian Analysis and MCMC algorithms
  6. Parallel Computing and Visualization

Collaborative Research Interests:

  1. Geosciences-
    • Network Applications in sparse spatio-temporal Environmental Big Data
    • Building Polluter Detection tools using R Shiny and Leaflet (see GeoNet Application)
  2. Genomics-
    • Constrained Penalized Regression Models for big chromosome matrices (Hi-C Data)
  3. Business-
    • Detection of Fake Reviewers via Two-Mode Segmentation for Consumer-Product Review Networks

Honors and Awards

  • J. Keith Ord Scholarship in Statistics
  • Best Student Paper Award in Risk Analysis, ASA
  • Student Travel Award and Finalist in student paper competition in IISA

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