Research Publications & Projects

MSc Thesis:

• Title: Investigating Spatial Navigation in Congenitally Blind and Vision-Restored Children Using Functional Connectivity in the Brain.

• Advisor: Prof. Tapan Kumar Gandhi, Dept. of EE, Adj. Prof. School of Artificial Intelligence, Research Affiliate at MIT

• Co-Advisor: Prof. Atanendu Sekhar Mandal, IIT Delhi

• Lab: Neurocomputing Lab, Indian Institute of Technology Delhi

• Methodology: functional Magnetic Resonance Imaging (fMRI) and Diffusion Tensor Imaging (DTI)

Conference Papers

Sharma, V., Sinha, A., Wiryaseputra, M., Kumar, B., Kumar, T., & Alkhayyat, A. (2023). Predicting the cere‑ bral blood flow change condition during brain strokes using feature fusion of FMRI images and clinical fea‑ tures. • 14th International Conference on Computing Communication and Networking Technologies (ICC‑ CNT). https://doi.org/10.1109/icccnt56998.2023.10306356  [Published]

Kumar T. (2023). Theoretical and computational modelling of visual perception using hybrid techniques like deep convolutional neural networks, reinforcement learning, and recurrent neural networks: Opening new dimensions in understanding the perceptual organization and cognitive architectures of the brain. Poster Accepted at the 10th Annual Conference of Cognitive Science, ACCS 2023, IIT Kanpur. https://www.cgs.iitk.ac.in/user/accs10/files/ACCSX𝐵𝑜𝑜𝑘𝑙𝑒𝑡.𝑝𝑑  [Abstract Published]

Research Projects [Completed] 

Kumar, T. R., & Gandhi, T. Modelling and predicting thoughts using the Machine Learning- Multi variate Pattern Analysis.

Indian Institute of Technology Delhi, Delhi, India. April 2024.

Employing the Human Connectome Project (HCP) database, this project developed a model to predict thoughts using Multi‑Variate Pattern Analysis in fMRI data, aiming to correlate specific neural patterns with thought processes. [Manuscript under preparation]

Kumar, T. R., Nath, S., & Shreya (2024) Flanker Behavioural tasks utilizing Psychtoolbox-MATLAB. Indian Institute of Technology Delhi, Delhi, India. April 2024. This project involved designing and executing the DigitSpan behavioural task using MATLAB to facilitate data collection and analysis. The study aimed to explore the cognitive mechanisms underlying digit span tasks and their implications on working memory assessments. [Manuscript Submitted]

Kumar, T. R., Gandhi, T., & Priya, V. (2024). Inner speech modelling with cognitive architecture ACT‑R. Indian Institute of Technology Delhi, Delhi, India. January 2024 – April 2024. This research utilized ACT‑R cognitive architecture to model and examine the role of inner speech in cognitive tasks. The focus was on understanding how inner speech supports various cognitive processes. [Manuscript Submitted]

Kumar, T. R., Jain, M., Renu, Bhairavi (2024). Mathematical modelling of touch perception. Indian Institute of Technology Delhi, Delhi, India. January 2024 – April 2024. This study involved the mathematical modelling of touch perception, aiming to better understand the sensory input and neural processing involved in touch, with applications in developing advanced prosthetics and haptic technologies. [Manuscript Submitted]

Kumar, T.R. (2024). Dreaming as an unconscious process. Philosophy of Mind. Philosophical perspective into the implicit cognition of dreaming as a process, the perspectives taken from classical dream-skepticism, neurological studies and arugument based evidences.

Kumar, T. R. , Kachera, V. (2023). Replicating behavioural studies with an attention varying alteration in the McGurk Effect. Indian Institute of Technology Delhi, Delhi, India. July 2023 – November 2023. This project replicated a psychological study to assess the effect of attention on cognitive tasks, introducing an alteration to evaluate response consistency and variability under different attentional conditions.