Representative Works

Turning Time into Shapes: A Point-Cloud Framework with Chaotic Signatures for Time Series
P. Singh and R. Balasubramanian
Journal of Forecasting (Wiley), 2025
In Press

IsoMapGen: Framework for Early Prediction of Peak Ground Acceleration Using Tripartite Feature Extraction and Gated Attention Model
A. Joshi, P. Singh and R. Balasubramanian
Computers and Geosciences (Elsevier), vol. 196, pp. 1-15, 2025
DOI:10.1016/j.cageo.2024.105849

A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude
A. Joshi, P. Singh and R. Balasubramanian
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-11, 2024
DOI:10.1109/TGRS.2024.3459425

Towards Engagement Prediction: A Cross-Modality Dual-Pipeline Approach using Visual and Audio Features
D. Kumar, S. Madan, P. Singh, A. Dhall and R. Balasubramanian
ACM MULTIMEDIA 2024, 28 October - 1 November 2024, Melbourne, Australia
DOI:10.1145/3664647.3688986

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), pp. 1-12, 2024
DOI:10.1016/j.bspc.2024.106609



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
DOI:10.1109/FG59268.2024.10581941


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
DOI:10.1109/IJCNN60899.2024.10650662

Coding Of Billiards In Hyperbolic 3-Space
P. Singh
Journal of Dynamical and Control Systems (Springer Nature), vol 30(4), pp. 30-47, 2024
DOI:10.1007/s10883-024-09721-0

Bratteli-Vershikizability of Polygonal Billiards on the Hyperbolic Plane
A. Nagar and P. Singh
Journal of the Australian Mathematical Society (Cambridge University Press), vol 117.1, pp. 85-104, 2024
DOI:10.1017/S1446788723000174

Finiteness in Polygonal Billiards on Hyperbolic Plane
A. Nagar and P. Singh
Topological Methods in Nonlinear Analysis (Juliusz Schauder Center for Nonlinear Studies), vol 58(2), pp. 481–520, 2021
DOI:10.12775/TMNA.2021.003

Books


Deep Learning Through the Prism of Tensors
P. Singh and R. Balasubramanian
Springer Nature Singapore, 2024, ISBN: 978-981-97-8018-1


The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
P. Singh and R. Balasubramanian
Springer Nature Singapore, 2025, ISBN: 978-981-96-4705-7


Artificial Intelligence and Machine Learning
P. Singh, T. K. Gandhi and R. Balasubramanian
McGraw Hill India, 2025, In Press

Bits and Bots
P. Singh
Kindle Publishing, 2023, ISBN: 979-886-81-3470-8


Resources


Geometric Deep Learning
Grids, Groups, Graphs, Geodesics, and Gauges
Towards Geometric Deep Learning
Brief Introduction to GDL

Machine Intelligence Lab
Department of Computer Science and Engineering
IIT Roorkee