Aditya T Siripuram

Aditya T Siripuram is an Associate Professor at the Indian Institute of Technology Hyderabad (IITH), holding joint appointments in the Department of Electrical Engineering and the Department of Artificial Intelligence. He completed his PhD at Stanford University and holds B.Tech and M.Tech degrees from IIT Bombay.

Education:

• PhD in Electrical Engineering, Stanford University (2017) - GPA: 4.17/4
• M.Tech in Electrical Engineering, IIT Bombay (2009) - GPA: 9.79/10
• B.Tech in Electrical Engineering, IIT Bombay (2009) - GPA: 9.79/10

Research Interests: His research spans Fourier analysis, signal processing, machine learning, convex and combinatorial optimization, with applications in AI/ML and applied mathematics. His work particularly focuses on computational aspects of Fourier analysis, including fast DFT computation for structured signals, convolution idempotents, and graph-based signal processing techniques.

His recent research directions involve developing efficient algorithms for computing Discrete Fourier Transforms for signals with structured frequency support, investigating relationships between additive structures in frequency domains and computational complexity, and exploring graph learning techniques under spectral constraints.

Awards and Recognition:

• Excellence in Teaching Award, IIT Hyderabad (2019, 2022)
• Stanford Graduate Fellowship
• Qualcomm Innovation Fellowship (awarded to his PhD student Charantej Reddy P in 2021)

Teaching and Service: He has taught courses including AI1110 Probability and Stochastic Processes, EE5609 Matrix Theory, EE5606 Convex Optimization, and EE5328 Introduction to Submodular Functions. He serves as Departmental Undergraduate Committee Chair for the Department of AI at IITH (2020-present) and was MTech Admissions Coordinator for the same department (2019-2022).

Research Group: He currently advises three PhD students working on signal processing based graph learning techniques, DFT computation for structured signals, and coded computing problems.