The major areas of my scientific research are: Neuroimaging, Cogntiive, Social and System Neurosciences, Brain-Computer Interfaces, Brain-Machine Interfaces, Neurofeedback, Artificial Intelligence and Pattern Recognition.

Current and Previous Scientific and Engineering Courses Taught:
1. Brain-Machine Interfaces (2016 onwards, IBM 3001 – Pontificia Universidad Católica de Chile),
2. Neural Systems Modeling (2012- 2015; BME 4931 – University of Florida),
3. Brain Machine Interfaces (2012-2015; BME 6938 - University of Florida),
4. Neural Engineering (2012-2015; BME 6360 - University of Florida),
5. Introduction to Biomedical Engg (2012-2015; BME 1008 - University of Florida),
6. Medical Psychology (2004-2012; University of Tuebingen, Germany)
7. Matlab Programming (2004-2012; University of Tuebingen, Germany)
8. FMRI and fNIRS Analyses (2004-2012; University of Tuebingen, Germany)
9. Multivariate Pattern Classification (2004-2012; University of Tuebingen, Germany)
10. Functional Connectivity Analysis (2004-2012; University of Tuebingen, Germany).
11. Object Oriented Design of Software (2000-2004; Institute of Infocomm Research, Singapore).
12. Java Programming (2000-2004; Institute of Infocomm Research, Singapore).

Scientific Software Tools Developed and Distributed:
1. MANAS: FMRI toolbox for offline pattern classification of brain states (Sitaram et al 2012, Rana, Sitaram et al 2013, Lee, Sitaram et al 2010)
2. tMANAS: FMRI toolbox for real-time pattern classification and feedback of brain states (Rana, Sitaram et al 2013).
3. PRADEEP: FNIRS toolbox for offline and real-time pattern classification and feedback of brain states (Robinson, Sitaram submitted).
4. TEJAS: EEG toolbox for offline and real-time pattern classification and feedback of brain states (Schmidt, Sitaram in preparation).
5. ANVITA: DTI toolbox for pattern analysis of brain structural connectivity and network (Varkuti, Sitaram et al 2011).