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- Sarat Babu Moka
Dr Sarat Babu Moka
Research Fellow
The University of Queensland
My current research interest broadly lies in Applied Probability with a specific focus on Statistical Methods and Monte Carlo Simulation algorithms. In particular, I am interested in Machine Learning, Spatial Point Processes, Perfect Sampling, Large Deviations Theory, and Variance Reduction techniques.
Research Interests:
Importance sampling
Large Deviation Theory
Perfect Sampling
Queueing theory
Spatial Point Processes
Unbiased Estimation
Qualifications:
PhD in System Science from Tata Institute of Fundamental Research, Mumbai, India
ME in Telecommunication from Indian Institute of Science, Bangaluru, India
BE in Electronics and Communication Engineering, Andhra University, India
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
Fu, J., Nazarathy Y., Moka S.. B., & Taylor P.
(2019). Towards Q-learning the Whittle Index for Restless Bandits.
2019 Australian & New Zealand Control Conference (ANZCC). 249-254. doi: 10.1109/ANZCC47194.2019.8945748
Journal Articles
Moka, S.. B., Juneja S.., & Mandjes M.
(2018). Analysis of Perfect Sampling Methods for Hard-sphere Models.
ACM SIGMETRICS Performance Evaluation Review. 45(2), 69 - 75. doi: 10.1145/3199524.3199536