Gaurav Singh

Varsity Lakes, Australiahi@gvsh.cc Google Scholar ORCID

Research profile

Applied machine-learning researcher working across visual-mathematical literacy, computer vision, generative modelling, and nonlinear simulation. My background combines computer science, design, and a decade of university teaching. I also maintain Mathscapes as an independent mathematical practice.

Research interests

Applied machine learning, mathematical modelling, computer vision, time-series and generative models, statistical inference, human-computer interaction, and algorithmic literacy.

Education

2023–2025
Master of Information Technology
Griffith University, Gold Coast, Australia; GPA 6.31/7
Thesis: “Enhancing Climate Forecasting with Advanced Generative Models for Synthetic AQI Data”, supervised by Dr. Elizabeth Chang.
2013–2015
Advanced Diploma, Innovation & Experience Design
Srishti Institute of Art, Design and Technology, Bangalore, India
2008–2012
B.Tech, Computer Science & Engineering
JNTU Anantapur, India; First Class with Distinction

Publications

A Framework for Visual-Mathematical Literacy in Applied Machine Learning: Why Representation Choices Shape What Models Can Learn. G. Singh, R. S. Dhari. Machine Learning: Engineering, 2026. doi:https://doi.org/10.1088/3049-4761/ae7df3

Techno-Economic Pathways Modeling and Nonlinear Optimized SEEA-ROI Longitudinal Dynamic Simulation for Decarbonizing Australian Heavy Transportation Systems. G. Singh, E. Chang, Y. Karaca. Fractals, 2026. doi:https://doi.org/10.1142/S0218348X26400633

Automated detection of deformation mechanisms in re-entrant honeycomb auxetics using machine learning. G. Singh, R. S. Dhari, Z. Javanbakht. International Journal of Protective Structures, 2025. doi:https://doi.org/10.1177/20414196241281069

ReRide: A Bike Area Network for Embodied Self-monitoring during Motorbike Commute. N. Bagalkot, G. Singh, V. Rath, T. Sokoler, A. Shukla. TEI 2019, 443-450, 2019. doi:https://doi.org/10.1145/3294109.3300986

ReRide. N. Bagalkot, T. Sokoler, R. Shaikh, G. Singh, A. E. Lillie, P. Dixit, A. Rai, V. Chakravarthy, A. Senthil. INTERACT 2017, LNCS 10516, 2017. doi:https://doi.org/10.1007/978-3-319-68059-0_43

SnapTag: Leveraging Situated Memory to enhance self-efficacy for well-being. S. Baadkar, G. Singh, A. Saraf, N. Bagalkot. India HCI 2014, 136-141, 2014. doi:https://doi.org/10.1145/2676702.2676719

Academic experience

2017–2022
Faculty Member and Researcher, Srishti Manipal Institute, Bangalore, India
Over five years, headed the Master of Design in Design Computation, founded the Experimental Maths Lab, and taught programming, algorithms, machine learning, physical computing, and interaction design.

Teaching and academic leadership

Designed and taught 30 courses and workshops over a decade (2013–2022), mostly at Srishti Manipal Institute in Bangalore, spanning creative coding, algorithmic botany, physical computing, machine learning, interaction design, and human-computer interaction.

Technical methods

Python, scikit-learn, computer vision, time-series and generative modelling, statistical inference, nonlinear optimisation, experimental design, and data visualisation.

Awards

2024
Griffith Award for Academic Excellence Griffith University
2024
STEM Professional Gold Achievement Griffith University
2023
Adobe Fund for Design Design grant
2021
Adobe Fund for Design Design grant
2017
Topcoder Open Design Champion India Regionals
2012
Topcoder Open Studio Finals 6th, Orlando
2011
Topcoder Open Studio Finals 11th, Fort Lauderdale

Academic service and supervision

2020
Discovering Algorithmic Literacy through Explainable AI D. Dixit, S. Singh
2020
Financial indicators that motivate impact investment A. Avadhana, N. Patny, S. Mishra
2018
Demonstrations track co-chair, IndiaHCI 2018 Bangalore, India
2017
Cumulus Conference, organising team Bangalore, India
2013
Location and arrival prediction Shobha R., Pavani A., Kalpana, JNTU Anantapur