Cota Navin Gupta
Neural Engineering Lab, Dept of BSBE
IIT Guwahati
Navin Gupta is currently an Assistant Professor with Department of Biosciences and Bioengineering, IIT Guwahati working in the areas of brain computer interfaces, imaging genetics for psychiatric disorders, multimodal/multivariate algorithm development and designing wearable medical solutions for patient mobility. He completed his Postdoctoral learning in the area of schizophrenia imaging genetics on a joint National Institute of Health (NIH) grant between Mind Research Network (USA) and Georgia State University (USA) publishing numerous high impact journals. Previously he obtained his PhD from Brain Computer Interfaces and Neural Engineering (BCI-NE) Group, University of Essex (UK) fully funded by the competitive Overseas Research Student (ORS) award for international students and University of Essex scholarships. His PhD work involved designing an offline P300 BCI system. During his doctoral work he also explored integrating electroencephalogram and near infrared spectroscopy modalities for cognitive applications.
In his free time he enjoys tennis and travelling. He likes to watch movies and is always willing to try anything new and exciting not only when it comes to cooking.
Principal Investigator
Further information
Research interest in relevance of the project
- Imaging genetics for psychiatric disorders
- multimodal/multivariate algorithm development for clinical big data
Field of Expertise
- Imaging genetics for psychiatric disorders
- multimodal/multivariate algorithm development for clinical big data
- brain computer interfaces
- designing wearable medical solutions for patient mobility
Selected publications
- C.N.Gupta, V.Calhoun, J. Turner et al, “Biclustered Independent Component Analysis (B-ICA) for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia,” Frontiers in Psychiatry (Methods),2017,(Impact Factor:3.2).
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C.N.Gupta., J.A.Turner.,V.D. Calhoun, “Source-based morphometry: a decade of covarying structural brain patterns,” Brain Struct Funct (2019) 224: 3031. https://doi.org/10.1007/s00429-019-01969-8 (Impact Factor:4.2).
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M.A.Rahaman, J. A. Turner, C. N. Gupta et al. “N-BiC: A method for multi-component and symptom biclustering of structural MRI data: Application to schizophrenia.” IEEE Transactions on Bio-medical Engineering, April 2019 (Impact Factor:4.4).
- E.Sprooten, C.N.Gupta, E.Knowles, D.R.McKay, J.E.Curran, et al “Genome-Wide Significant Linkage of Schizophrenia-Related Neuroanatomical Trait to 12q24” Am J Med Genet B Neuropsychiatr Genet, 2015 (Impact Factor:3.4).
- D.Bridwell, C.Roth, C.N.Gupta, V.Calhoun, “Cortical response similarities predict which audiovisual clips individuals viewed, but are unrelated to clip preference”, PloS one 10 (6), e0128833, 2015, (Impact Factor:3.2).
- C.N.Gupta, J.Chen, J.Liu, E.Damaraju, C.Wright, N.P.Bizzozero, G.Pearlson, L.Luo, A.M.Michael, J.Turner, V.Calhoun, “Genetic Markers of White Matter Integrity in Schizophrenia Revealed by Parallel ICA”, Frontiers in Human Neuroscience doi: 10.3389/fnhum.2015.00100, 2015, (Impact Factor:3.6).
- C.N.Gupta, V.Calhoun, S. Rachkonda, J.Segall, L.Wang, et al. “Patterns of gray matter loss in based on an international mega-analysis”, Schizophrenia Bulletin, Dec 2014 (Impact Factor:8.8) (40 citations on Google scholar as of April 2017).
Contact details
Address:
Neural Engineering Lab
Department of Biosciences and Bioengineering (BSBE)
Office No:7(Ground floor), Block N
Indian Institute of Technology Guwahati, India
Phone: +91 361 258 2232
