Gowtham Atluri, PhD

Assistant Professor, Department of Electrical Engineering and Computing Systems


Biography

Gowtham Atluri received his B.Tech in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, India in 2004. He earned his M.Tech. in Computer Science & Engineering from the Indian Institute of Technology, Roorkee in 2007. Gowtham received his PhD in 2014 from the University of Minnesota under the guidance of his advisor,  Prof. Vipin Kumar. He also received a MnDRIVE Brain Conditions post-doctoral fellowship for the duration of 2014-2015. Additionally, Gowtham's postdoctoral research was partly funded by a two-year grant from NASA in which he was a Co-PI.

Atluri

Research Interests

  • Data Mining, Machine Learning, Spatio-temporal Data Mining, Neuroimaging, Mobile Health Informatics, Biomedical Informatics, and Climate Informatics.


Research Experience

Post-Doctoral Associate, Data Mining, University of Minnesota,Twin Cities   2014-2016
Doctoral Dissertation Fellow, Data Mining, University of Minnesota,Twin Cities   2013-2014
Research AssistantData Mining, University of Minnesota,Twin Cities 2007-2014
Bioinformatics and Computational Biology Trainee, University of Minnesota,Twin Cities
2008-2010
Research Collaborator, Biomedical Sciences, Mayo Clinic 2008-2009


Honors and Awards

MnDRIVE Post-Doctoral Fellowship 2014-2015
Doctoral Dissertation FellowshipUniversity of Minnesota 2013-2014
SIAM Student Travel Scholarship 2013
Travel Award, Microbial and Plant Genomics Institute, University of Minnesota 2013
Biomedical Informatics and Computational Biology Traineeship 2008-2010
Ministry of Human Resource Development Fellowship, India 2005-2007


Selected Publications

Studying Brain Networks Using Functional Imaging Data, Gowtham Atluri, Angud MacDonald III, Kelvin Lim, and Vipin Kumar, IEEE Computer, 2016.

Connectivity cluster analysis for discovering discriminative subnetworks in schizophrenia, Gowtham Atluri, Michael Steinbach, Kelvin Lim, Vipin Kumar, and Angus MacDonald III, Human Brain Mapping, 2014.

Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time, Gowtham Atluri, Michael Steinbach, Kelvin Lim, Angud MacDonald III, and Vipin Kumar, SIAM International Conference on Data Mining, 2014.

Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack, Gowtham Atluri, Kanchana Padmanabhan, Gang Fang, Michael Steinbach, Jeffrey R Petrella,Kelvin Lim, Angus MacDonald III, Nagiza F Samatova, P Murali Doraiswamy, Vipin Kumar, NeuroImage: Clinical, 2013. (Downloaded more than 1500 times within 8 months from the publication date.)

Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using ameta-level method, Krista Wisner,Gowtham Atluri, Kelvin Lim, and Angus MacDonald III, Neuroimage, 2013.

 

Select for Dr. Atluri's Complete CV.