Dr. S. Pradeep is a mathematician with a keen interest in the structures of dynamical systems and their correlation with artificial intelligence. His primary affiliation is with the Machine Intelligence Lab, Department of CSE, IIT Roorkee, where he currently serves as a Post-Doctoral Researcher & Principal Investigator, specializing in dynamical systems and machine learning. His current research on geometric deep learning is supported by the National Post-Doctoral Fellowship (N-PDF) from Science and Engineering Research Board (SERB), under the mentorship of Prof. R. Balasubramanian. Before this, he had an enriching period of research at IIT Delhi, exploring dynamical systems & Riemannian geometry, mentored by Prof. A. Nagar. His work earned him the SPM fellowship from the Council of Scientific and Industrial Research (CSIR), an accolade given to up to two national toppers annually. He holds a doctorate and master's degree in mathematics from IIT Delhi, and a bachelor's degree in data science from IIT Madras. He is ambidextrous and proficient in application development, financial analysis, mathematical rigor, touch typing, and trading. Outside of his professional interests, he enjoys bicycling, literature, and soccer.

Resume, CV

PhD (Symbolic Dynamics)
SPMF Award, Thesis
IIT Delhi
MS (Pure Mathematics)
Magna Cum Laude, Thesis
IIT Delhi
BS (Data Science)
Summa Cum Laude, Projects
IIT Madras
Summa Cum Laude
St. Joseph's Convent

Post-Doctoral Researcher & Principal Investigator
IIT Roorkee
Geometric Deep Learning, Neuro-Symbolic AI & Dynamical Systems
N-PDF from SERB, Department of Science and Technology (April 2024 - present)
Post-Doctoral Researcher & Principal Investigator
IIT Roorkee
Geometric Deep Learning & Dynamical Systems
National Board of Higher Mathematics (NBHM) fellowship from DAE (Oct. 2022 - March 2024)
Doctoral Researcher
IIT Delhi
Dynamical Systems & Riemannian Geometry
SPM fellowship from CSIR (July 2017 - Sept. 2022)
All India Rank 1
All India Rank 1
IIT JAM 2015
All India Rank 1
NBHM Masters Fellowship
Department of Atomic Energy, 2016
NBHM Research Fellowship
Department of Atomic Energy, 2018
NBHM Post-Doctoral Fellowship
Department of Atomic Energy, 2022
SPM Doctoral Fellowship
Council of Scientific and Industrial Research, 2019
Institute Doctoral Fellowship
IIT Delhi, 2017
Academic Excellence Award
Walmart, 2023
National Post-Doctoral Fellowship
SERB, Department of Science and Technology, 2024

Finiteness in Polygonal Billiards on Hyperbolic Plane
A. Nagar and P. Singh
Topological Methods in Nonlinear Analysis, Juliusz Schauder Center for Nonlinear Studies, 2021

Bratteli-Vershikizability of Polygonal Billiards on the Hyperbolic Plane
A. Nagar and P. Singh
Journal of the Australian Mathematical Society, Cambridge University Press, 2023

Coding Of Billiards In Hyperbolic 3-Space
P. Singh
Journal of Dynamical and Control Systems, Springer Nature, 2024 (to appear)

Echoes of Images: Multi-Loss Network for Image Retrieval in Vision Transformers
A. Pundhir, S. Sagar, P. Singh, and R. Balasubramanian
Medical & Biological Engineering & Computing, Springer Nature, 2024

Integrating Physiological Signals with Dynamical Attention Networks for Personality Trait Analysis
D. Kumar, P. Singh, Richa, K.B. Nampalle, and R. Balasubramanian
International Joint Conference on Neural Networks (IJCNN 2024), 30 June - 5 July 2024, Yokohama, Japan

Neuro-Emotional Mapping of Human Emotions via EEG Signals
D. Kumar, P. Singh, A. Kumar, S. Ghosh, and R. Balasubramanian
18th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 27-31 May 2024, Istanbul, Turkey

All Signals Point to Personality: A Dual-Pipeline LSTM-Attention and Symbolic Dynamics Framework for Predicting Personality Traits from Bio-Electrical Signals
D. Kumar, P. Singh, and R. Balasubramanian
Biomedical Signal Processing and Control, Elsevier, vol. 96 (A), 2024

Bits and Bots
P. Singh
ISBN: 9798868134708

References for Geometric Deep Learning
Grids, Groups, Graphs, Geodesics, and Gauges
Towards Geometric Deep Learning
Brief Introduction

Machine Intelligence Lab
Department of Computer Science and Engineering
IIT Roorkee