Biography
Chandra Sekhar Seelamantula (Senior Member, IEEE) received the Bachelor of Engineering degree with Prof. K. K. Nair Gold Medal and Best Thesis Award from Osmania University in 1999 and the Ph.D. from IISc in 2005 with an IBM India Research Lab Fellowship.
From 2005–2006, he was a consultant at ESQUBE Communication Solutions. From 2006–2009, he was a Postdoctoral Fellow at the Biomedical Imaging Group, EPFL, Switzerland, focusing on tomography, splines, and sparse signal processing.
Since 2009, he has been on the Faculty of Electrical Engineering Department, IISc, where he is now Professor and leads the R&D activities of Spectrum Lab. His research interests include signal processing, machine learning, Generative AI, computational imaging, and AI for Healthcare.
Awards
- Prof. Priti Shankar Teaching Award, IISc
- Digital Health Prize, NBEC 2018
- Grand Challenges Exploration Award, Gates Foundation + BIRAC, 2020
- Qualcomm Innovation Fellowship, 2019–2025
- Outstanding Editorial Board Member, IEEE Trans. on Image Processing, 2022
Professional Activities
- Sparsity driven super-resolution ultrasound imaging
- Neuromorphic Sampling
- Generalized weighted lp minimization for accurate interferometric phase estimation
- Healthcare in the age of AI
- Deep learning for sparse coding
- Unrolled iterative algorithms for sparse coding
- There's more to a spectrogram than meets the eye
- The BIG bang. Twenty Years of Biomedical Imaging and Splines (TYBIS)
- ESOLA: Epoch-synchronous overlap-add for speech applications
- Sub-Nyquist sampling
- Deep learning meets sparse coding
- The Riesz transform -- A new tool for spectro-temporal analysis of speech signals
- What can signal processing do for coherent imaging?
- Phase retrieval in shift-invariant spaces and application to optical imaging
- Exact phase retrieval in principal shift-invariant spaces
- Sub-Nyquist sampling -- Recent advances and applications
- Speech prosody modification
- Active shapes, Visualization and Data Analytics Seminar
- An Introduction to Neuromorphic Computing with Intel Loihi
- Proper Definition of Dirichlet Conditions and Convergence of Fourier Representations
- Advances in imaging and segmentation of thalamic nuclei with applications
- Digital Acquisition via Modulo Folding: Revisiting the Legacy of Shannon-Nyquist, Prony, Schoenberg, Pisarenko and Radon
- From compressed sensing to deep learning: tasks, structures, and models
- Probing New Frontiers In Computational Photography and Displays
- There is more to a picture than meets the eye -- Recent advances in image forensics
- Regularized auto-associative neural networks for speaker recognition
- Compressed sensing and related topics: Theory and applications
- Analysis and processing of continuous data streams in industrial applications
- HIVIPS - Opportunities at Hitachi Labs
- Accelerating dynamic imaging by exploiting sparsity and low-rank structure
- Auditory motivated features for robust speech recognition
- Virtual surround
- Web-scale processing
- Acoustic inverse problems
- Coherent imaging - from tissue to molecule
- Project Assessment Committee (PAC) of Science and Engineering Research Board (SERB)
- Interlocutor for "Voice-to-voice translation"
- Area Chair, Computational Imaging Track
- Associate Editor
- Senior Area Editor
- Associate Editor
- Chair
- Associate Editor
- Tutorials Co-Chair
- General Chair
- Organizing Committee member
- Publicity Chair
- Chair, Graduate Aptitude Test in Engineering (GATE) - Joint Admission Test for Masters (JAM)
- Vice-Chair, GATE-JAM
- Senior Area Editor
- Member, Awards Committee
- Elected Member
- Senior Member
- UNAM, Mexico
- JKU Linz, Austria
- Chinese University of Hong Kong
- University of Vienna, Austria
- EPFL (Biomedical Optics Lab)
- CUHK, Hong Kong
- EPFL (Biomedical Imaging Group)