Dr. Deepti R. Bathula

Assistant Professor

Department of Computer Science and Engineering

bathula[AT]iitrpr.ac.in

Biography

Dr. Bathula is an Assistant Professor in the Department of Computer Science and Engineering at IIT Ropar. Dr. Bathula graduated from the University of Auckland, New Zealand in 2002 with a Bachelor of Engineering degree in Computer Systems. After a brief stint as a Software Engineer in the healthcare industry, she joined the graduate program at Yale University and earned her PhD in Biomedical Engineering in May 2009. Her doctoral dissertation involved statistical modeling of brain activation patterns for robust analysis of Functional Magnetic Resonance Imaging (fMRI) data. Prior to joining IIT Ropar, she was a Research Associate at Oregon Health & Science University.

Areas of Research

1. Development and application of image/signal processing
2. Pattern recognition techniques to assist in medical image analysis and diagnostic decision making.

Education

1. Ph.D., Yale University, USA, 2009
2. M.Phil., Yale University, USA, 2006
3. M.S., Yale University, USA, 2004
4. B.E., University of Auckland, New Zealand, 200

Work Experience

1. Assistant Professor, Indian Institute of Technology, Ropar, April 2010 – present
2. Research Associate, Oregon Health & Science University, USA, May 2009 – Jan 2011
3. Graduate Research Assistant, Yale University, USA, Aug 2003 – April 2009
4. Teaching Assistant, Yale University, USA, Aug 2005 – May 2008
5. Software Engineer, Orion Health, New Zealand, Jan 2002 – Jul 2003

Selected Publications/Patents

1. D. A. Fair, J. T. Nigg, S. Iyer, D. R. Bathula, K. L. Mills, et. al.,"Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data," Frontiers in Systems Neuroscience, 6:80, Feb 2013.

2. T. G. Costa Dias, V. B. Wilson, D. R. Bathula, S. P. Iyer, K. L. Mill, et. al., “Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder,”, European Neuropsychopharmacology, 23(1):33-45, Jan 2013.

 

3. D. A. Fair, D. R. Bathula, M. A. Nikolas, J. T. Nigg, “Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD,” Proceedings of the National Academy of Sciences USA, 109(17):6769-74, April 2012.

 

4. K. L. Mills, D. R. Bathula, T. G. Costa Dias, S. P. Iyer, et. al., “Altered cortico-striatal-thalamic connectivity in relation to spatial working memory capacity in children with ADHD,” Frontiers in Psychiatry, 3:2, Jan 2012.

 

5. B. J. Nagel, D. R. Bathula, et. al., “Altered White Matter Microstructure in Children with ADHD”, Journal of the American Academy of Child and Adolescent Psychiatry, 50(3), pp. 283-292, Mar 2011.

6. D. A. Fair, J. Posner, B. J. Nagel, D. R. Bathula, et. al., “Atypical Default Network Connectivity in Youth with ADHD”, Biological Psychiatry, 68(12), pp. 1084-1091, 2011.

7. D. A. Fair, D. R. Bathula, et. al., “Maturing thalamocortical functional connectivity across development”, Frontiers in Systems Neuroscience, 4:10, May 2010.

8. D. R. Bathula, L. H. Staib, H. D. Tagare, X. Papademetris, R. T. Schultz and J. S. Duncan, “Multi- Group Functional MRI Analysis Using Statistical Activation Priors,” Medical Image Computing and Computer Assisted Intervention (MICCAI) - fMRI Analysis Workshop, September 2009, London.

9. D. R. Bathula, H. D. Tagare, L. H. Staib, X. Papademetris, R. T. Schultz and J. S. Duncan, “Bayesian Analysis of fMRI Data with ICA Based Spatial Prior,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Part II: 246 - 254, September 2008, New York.

10. D. R. Bathula, X. Papademetris and J. S. Duncan, “Level Set-Based Clustering of Active Regions in Functional MRI,” IEEE Int. Sym. on Biomedical Imaging (ISBI), 416 - 419, April 2007, Arlington.