Hello there! I am a second-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 , 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 2023: Theoretical Statistics, Linear Optimisation
  
• 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 optimisation for Machine Learning