Gaurav Singh

Varsity Lakes, Australia · hi@gvsh.cc · ORCID · GitHub · Google Scholar · LinkedIn · PDF

Machine-learning researcher and software developer. I came to machine learning by an unusual route: engineering, then design school, then a decade of teaching programming and human-computer interaction to designers. What ties it together is a care for the choices made before any model runs: how a physical thing becomes data, and what that data lets a model see. First-author papers in the International Journal of Protective Structures (2024) and IOP Machine Learning (2026); Master's research applied generative models to large-scale environmental time-series data.

Research interests

How representation choices shape what models can learn; making models work where data is sparse and incomplete; mathematical modelling of physical and economic systems; visual-mathematical 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

Experience

2025–present
Software developer, Payments fintech, Australia
I build payment infrastructure businesses rely on daily: recurring billing, direct debit, and hosted payment pages.
2008–present
Founder and researcher, Mathscapes, India
My own studio, going since 2008, where the maths work lives: open-source libraries and design tools that keep mathematics accessible rather than locked behind a degree.
2018–2022
Design copilot, Topcoder, Remote
I ran design challenges for Fortune 500 clients and steered crowds of designers through them, after years of competing on the platform myself.
2017–2022
Faculty member and researcher, Srishti Manipal Institute, Bangalore, India
I headed the M.Des in Design Computation and founded the Experimental Maths Lab, a room for recreational mathematics inside a design school. Most of the teaching I am proud of happened here.

Also: M56 (2015–2026), Griffith University (2022–2023), Art in Transit / Srishti (2016), Independent designer (2008–2015), S.Labs (2014); details on my website.

Publications

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

Techno-economic pathways modeling and nonlinear optimized SEEA-ROI longitudinal dynamic simulation for decarbonising Australian heavy transportation systems. G. Singh, E. Chang, Y. Karaca. Fractals, 2026. doi: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, 2024. doi: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. Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '19), 443-450, 2019. doi:10.1145/3294109.3300986

ReRide. N. Bagalkot, T. Sokoler, R. Shaikh, G. Singh, A. E. Lillie, P. Dixit, A. Rai, V. Chakravarthy, A. Senthil. Human-Computer Interaction - INTERACT 2017. Lecture Notes in Computer Science, vol 10516. Springer, Cham, 2017. doi: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. Proceedings of the India HCI 2014 Conference on Human-Computer Interaction, 136-141, 2014. doi:10.1145/2676702.2676719

Software

Iterflow: Composable Streaming Statistics for JavaScript. G. Singh. Mathscapes, 2026. doi:10.5281/zenodo.18610143

Teaching

30 courses and workshops over a decade (2013–2022), mostly at Srishti Manipal Institute in Bangalore: fractals drawn with code, algorithmic botany, physical computing, and interaction design; the full list is in teaching.

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

Service

2018
Demonstrations track co-chair, IndiaHCI 2018 · Bangalore, India
2017
Cumulus Conference, organising team · Bangalore, India

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
2013
Location and arrival prediction · Shobha R., Pavani A., Kalpana, JNTU Anantapur

Skills

Machine learning: supervised learning, feature engineering, model evaluation and cross-validation, time-series forecasting; scikit-learn, PyTorch, TensorFlow/Keras.

Deep learning: neural networks for computer vision, sequence modelling, and generative modelling.

Statistics & simulation: probability and statistical inference, exploratory data analysis, uncertainty quantification, nonlinear optimisation, techno-economic and longitudinal modelling.

LLMs & agents: LLM APIs and integration, structured extraction from documents, agentic workflows, evaluation.

Data & MLOps: Python (NumPy, Pandas), SQL; Matplotlib; Git, CI/CD; Docker, AWS.

Referees

Referees available on request.