Homi Bhabha Centre for Science Education
Tata Institute of Fundamental Research
- Adjunct Associate Professor
Indian Institute of Technology Bombay
Ph.D. Cognitive Science, Carleton University, Ottawa, Canada
M.A. Linguistics, Jawaharlal Nehru University, New Delhi
M.A. Communication, University of Kerala
B.Sc. Physics, University of Kerala
Postdoctoral Fellow, School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA
Postdoctoral Fellow, Cognitive and Motor Neuroscience Lab, Faculty of Kinesiology, University of Calgary, Canada
Senior Lecturer, Centre for Behavioral and Cognitive Sciences, University of Allahabad
Predoctoral Fellow, Adaptive Behavior and Cognition Group, Max Planck Institute for Human Development, Berlin, Germany
Keynote Address, Technology for Education Conference (IEEE), 2014
Keynote Address, Model-based Reasoning Conference, Sestri Levante, 2015
1. Chandrasekharan, S. (2016). Beyond Telling: Where New Computational Media is Taking Model-Based Reasoning. In Model-Based Reasoning in Science and Technology, Volume 27 of the series Studies in Applied Philosophy, Epistemology and Rational Ethics, pp 471-487, Springer, Heidelberg.
2. Chandrasekharan, S., Nersessian, N.J. (2015). Building Cognition: the Construction of Computational Representations for Scientific Discovery. Cognitive Science, 39, 1727–1763.
3. Chandrasekharan, S. (2014). Becoming Knowledge: Cognitive and Neural Mechanisms that Support Scientific Intuition. In Osbeck, L., Held, B.(Eds.). Rational Intuition: Philosophical Roots, Scientific Investigations. Cambridge University Press. New York.
4. *Aurigemma, J., Chandrasekharan, S., Newstetter, W., Nersessian, N.J. (2013). Turning experiments into objects: the cognitive processes involved in the design of a lab-on-a-chip device. Journal of Engineering Education, 102(1), 117-140.
*All authors contributed equally
5. Chandrasekharan, S., Tovey, M. (2012). Sum, Quorum, Tether: design principles for external representations that promote sustainability. Pragmatics and Cognition, 20 (3), 447-482.
6. Chandrasekharan, S., Binsted, G. Ayres, F., Higgins, L., Welsh, T.N. (2012). Factors that Affect Action Possibility Judgments: Recent Experience with the Action and the Current Body State. The Quarterly Journal of Experimental Psychology, 65(5), 976-993.
7. Chandrasekharan, S., Mazalek, A., Chen, Y., Nitsche, M., Ranjan, A. (2010). Ideomotor Design: using common coding theory to derive novel video game interactions. Pragmatics & Cognition, 18 (2), 313-339.
8. Chandrasekharan, S., Osbeck, L. (2010). Rethinking Situatedness: Environment Structure in the Time of the Common Code. Theory & Psychology, 20 (2), 171-207.
9. Chandrasekharan, S. (2009). Building to discover: a common coding model. Cognitive Science, 33 (6), 1059-1086.
10. Chandrasekharan, S., Stewart T.C. (2007). The origin of epistemic structures and proto-representations. Adaptive Behavior, 15 (3), 329-353.
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11. Chandrasekharan, S. (2006). Money as Epistemic Structure. Comment on the target article "Money as tool, money as drug: The biological psychology of a strong incentive", by Stephen E. G. Lea and Paul Webley, Behavioral and Brain Sciences, 29 (2), 183-184.