Assistant Professor
Center For Creative Cognition
University of Hyderabad, Hyderabad, India
4 Years
Computational Neuroscience, Visual Psychophysics, Neural Networks, Cognitive Neuroscience
Computational Neuroscience, Visual Psychophysics, Neural Networks, Cognitive Neuroscience
Ph.D in Cognitive Science, University of Hyderabad, Hyderabad, India
MSC Chemistry, University of Calcutta, Calcutta, India
B.Sc Chemistry (Hons.), Presidency College, University of Calcutta, India
Assistant professor at SR University, Warangal, from 2019-03-15 to Till Date.
Post Doctoral Fellow at IIT- Madras, India, from 2018-06-02 to 2018-12-02.
Post Doctoral Visitor at York University, Canada, from 2015-06-01 to 2015-10-01.
Research Associate at BVRIT-Narsapur, India, from 2014-10-20 to 2015-05-30.
Experience Designer at Navaraga Information Technologies Pvt. Ltd., from 2008-06-15 to 2009-06-15.
PG
Ravichander Janapati, Vishwas Dalal, Usha Desai, Rakesh Sengupta, Shrirang A. Kulkarni, and D. Jude Hemanth, Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier, International Journal on Artificial Intelligence Tools, 2023, 32:2340016
Archana R. Reddy, Rakesh Sengupta, B Michael Jackson, C Lewis, Development of a new measure to check attitude towards water conservation, MethodsX, 2023, 10:101992
Janapati, R., Dalal, V., & Sengupta, R. (2022). Advances in Experimental Paradigms for EEG-BCI. In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 163-170). Springer, Singapore.
Janapati, R., Dalal, V., & Sengupta, R. (2023). Advances in modern EEG-BCI signal processing: A review. Materials Today: Proceedings. 80:2563-2566
Rakesh Sengupta, D. Hari Krishna, I. A. Pasha, T. Satya Savithri. 2014 Brain-Computer Interface for mobility: a case study with ALS patient, International Journal of Applied Engineering Research, 9:26055–26070
Rakesh Sengupta, André Knops, Manuela Piazza, Evelyn Eger, David Melcher. 2014. A shared, flexible neural map architecturereflects capacity limits in both visual short term memory and enumeration, Journal of Neuroscience, 34:9857-9866
Rakesh Sengupta, Bapi Raju Surampudi, David Melcher. 2014. A visual sense of number emerges from the dynamics of a recurrent on-center off- surround neural network, Brain Research, 1582:114–124
Rakesh Sengupta, Bapi Raju Surampudi, David Melcher. 2017. Big and small numbers: empirical support for a single,flexible mechanism for human numerosity perception. Attention, Perception, & Psychophysics, 79:253–266
Rakesh Sengupta. 2018. How embodied is time?, Journal of Indian Council for Philosophical Research, 35:433–445
Rakesh Sengupta, Anjana Prusty., C. J. Yeh, A. Miller. 2021. Dyscalculia: Difficulties in Making Arithmetical Calculation.In Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices (pp. 462-485). IGIGlobal.
Rakesh Sengupta, Ravichander Janapati, Vishwas Dalal, P. V. Raja Shekar. 2021. Progression of EEG-BCI ClassificationTechniques: A Study. In: Suma V., Chen J.IZ., Baig Z., Wang H. (eds) Inventive Systems and Control. Lecture Notes in networks and Systems, vol 204. Springer, Singapore.
Rakesh Sengupta, Ravichander Janapati, Vishwas Dalal, N. Govardhan. 2021. Signal Processing Algorithms Based on EvolutionaryOptimization Techniques in the BCI: A Review. In: Smys S., Tavares J.M.R.S., Bestak R., Shi F. (eds) ComputationalVision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1318. Springer, Singapore
Patent No : 202141005128 Year : 2021
2014, Visiting Research Fellowship, Indo-Trento Project for Advanced Research
2014, Research Associate, BVRIT-Narsapur, India
2013 Senior Research FellowshipBVRIT-Narsapur, India
2012 Visiting Research Fellowship, Indo-Trento Project for Advanced Research
2005 GATE, Rank 42, MHRD, India
Junior Research Fellowship, CSIR, UGC
