
Dr Sarat Moka
- PhD in Applied Probability
- Master of Engineering聽in Telecommunication
- Bachelor of Engineering in Electronics and Electrical Engineering
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I am a Lecturer (equivalent to Assistant Professor in North America) in the School of Mathematics and Statistics at the University of New South Wales, Sydney, since 2023. My research and teaching interests span Statistics, Probability Theory, Machine Learning, and Deep Learning. Previously, I was a Research Fellow in the School of Mathematical and Physical Sciences at Macquarie University, and before that, an ACEMS (ARC Centre of Excellence for Mathematical and Statistical Frontiers) Postdoctoral Researcher at the University of Queensland, Brisbane. I hold a PhD in Applied Probability from the Tata Institute of Fundamental Research (Mumbai), as well as master鈥檚 and bachelor鈥檚 degrees in engineering from the Indian Institute of Science (Bengaluru) and Andhra University, respectively. Prior to my PhD, I worked as a scientist at the Indian Space Research Organization, focusing on communication networks related to rocket launch聽activities. I am a co-author of a book on `Mathematical Engineering of Deep Learning`.
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- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- Estimating the Number of Tyres in Stockpiles: Phase II (2024). Project commissioned by Environmental Protection Authority (EPA) Victoria. Jointly with Prof. Samuel Muller, Macquarie聽University.
My research aims to devise efficient algorithms for addressing challenging problems, often they are NP-hard, within the realms of Applied Probability, Computational Statistics, Machine Learning, and Deep Learning. Keywords relevant to my research include Model Selection, Best Subset Selection, Monte Carlo Simulation, Spatial Point Processes, Bayesian Inference, Perfect Sampling, Importance Sampling, Unbiased Estimation, Large Deviations Theory, Variance Reduction Techniques, and Queueing Theory.
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I am keen to engage with industry to address challenges that require innovative statistical and probabilistic solutions. My current industry collaborators include EPA Victoria and CSIRO.
My Research Supervision
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My Teaching
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