I am a 3rd year graduate research assistant at Department of Statistics in Pennsylvania State University. Currently I am working on several exciting research topics under the advisorship of Dr. Lingzhou Xue. Before coming to Pennstate, I graduated with Masters in Engineering Physics from IIT Bombay.
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
418, Thomas Building
Department of Statistics
The Pennsylvania State University
State College, PA 16802
“There is nothing more deceptive than an obvious fact”
- Graduate Research Assistant at Department of Statistics, The Pennsylvania State University, USA, 2014-Present
- Teaching Assistant at Department of Physics, IIT Bombay, India, 2013-2014
- Intern at Department of Power Mechanical Engineering, NTHU, Taiwan, Summer 2012.
- Intern at Department of Physics, IMSc., India, Summer 2011.
- Ph.D. Candidate in Statistics, The Pennsylvania State University
Advisor: Dr. Lingzhou Xue
- Masters of Technology in Engineering Physics, IIT Bombay, 2014
Advisor: Dr. Anirban Sain
- Bachelors of Technology in Engineering Physics, IIT Bombay, 2014
- Minor in Statistics, IIT Bombay, 2014
Advisor: Dr. Siuli Mukhopadhyay
HONORS AND AWARDS
- Limca Certificate for National Record 2013 for most number of students solving Rubik’s Cube together within 30 minutes, 2012.
- Yellow belt in Judo conducted by Judo Association of Bombay, 2011.
- Best Volunteer Award in Group for Rural Activities under National Service Scheme of IIT Bombay, 2010.
- Outstanding achievement award for being Central Board of Secondary Education (CBSE) topper in grade 12 in Institute for Plasma Research, Gandhinagar, 2008.
“Nullum magnum ingenium sine mixtura dementiae”
- Bayesian Approach of Nearfield Acoustic Reconstruction with Particle Filters
Mingsian R. Bai, Amal Agarwal, Ching-Cheng Chen and Yen-Chih Wang
Journal of the Acoustical Society of America, 2013 (pdf)
- Discovery of Causal Time Intervals
Zhenhui Li, Guanjie Zheng, Amal Agarwal and Lingzhou Xue
SDM’17: the Seventeenth SIAM International Conference on Data Mining, 2016
- 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, Zhenhui Li, Amal Agarwal, Lingzhou Xue, and Susan L. Brantley
Environmental Geochemistry and Health Journal, 2016
- 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, 2017
- Inhomogeneous Markov evolution of clusters in temporal Exponential-Family Random Graph Models
Amal Agarwal, Kevin Lee and Lingzhou Xue
- Mixture of Exponential-Family Random Graph Models with Varying Network Parameters
Kevin Lee, Amal Agarwal and Lingzhou Xue