Hello there! I am a third-year PhD student in Machine Learning in H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech, Atlanta. I am being advised by Prof. Siva Theja Maguluri.
My interests are in the theoretical analysis of Stochastic Approximation Algorithms with major focus on its application in Reinforcement Learning and Machine Learning. I received my B.Tech in Electrical Engineering with Honors and with Minor in Computer Science and Engineering at Indian Institute of Technology, Bombay.
I like to workout, cook and watch anime.
Research Papers
- Shaan Ul Haque , Siva Theja Maguluri, “Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem” , arxiv version,(Submitted).
- Shaan Ul Haque , Sajad Khodadadian, Siva Theja Maguluri, “Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise” , arxiv version,(Submitted).
- Shaan Ul Haque , Ajit Rajwade, Karthik S Gurumoorthy, “Joint Probability Estimation Using Tensor Decomposition and Dictionaries”, EUSIPCO 2022.
- S Sharma, A Girish, N P Rakhashia, V M Gadre, Shaan Ul Haque , A Ansari, R B Pachori, P Radhakrishna, P Sahay, “Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm”, 2022 National Conference on Communications (NCC).
- Shaan Ul Haque , Siddharth Chandak, Federico Chiariotti, Deniz Gündüz, Petar Popovski, “Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message”, IEEE Communications Letters, 2022.
Courses completed so far
- Fall 2024: Linear Controls, High-Dimensional Statistics
- Spring 2024: Optimization in Reinforcement Learning, Stochastic Processes 1
- Fall 2023: Theoretical Statistics, Linear Optimization
- Spring 2023: Design and Analysis of Algorithms, Machine Learning: Theory and Methods, Real Analysis 1
- Fall 2022: Mathematical Foundations of Machine Learning, First order methods in optimization for Machine Learning