Spectrum Lab pursues cutting-edge research on state-of-the-art topics in Signal Processing (SP) and Artificial Intelligence (AI)/Machine Learning (ML). On the signal processing front, the focus areas are: Sampling Theory, Compressed Sensing, Neuromorphic Imaging, Inverse Problems in Computational Imaging, Auditory perception of speech signals and Modulation analysis, Biomedical/Medical Image Analysis/Reconstruction, Seismic Signal Analysis, etc. On the AI/ML front, the current emphasis is on Generative Modeling (GANs, Diffusion Models, Score-Based Models, etc.), Applications of AI in Digital Healthcare, Decision-Support Systems, etc.
Professor, Department of Electrical Engineering (EE)
Indian Institute of Science (IISc), Bangalore
Chair, GATE-JAM Office, IISc Zone
Convener, M.Tech.(SP) Program Curriculum Committee
Email: css@iisc.ac.in; Google Scholar Profile
CSS Biography
Chandra Sekhar Seelamantula (Senior Member, IEEE) received the Bachelor of Engineering degree with Prof. K. K. Nair Gold Medal and Best Thesis Award in Electronics and Communication Engineering from Osmania University College of Engineering, Hyderabad, India, in 1999 and the Ph.D. degree, with IBM India Research Lab Fellowship, from the Department of Electrical Communication Engineering, Indian Institute of Science (IISc), Bangalore, India, in 2005. During April 2005–March 2006, he worked as a Technology Consultant for ESQUBE Communication Solutions Private Limited, Bangalore, India, where he developed proprietary audio coding solutions. During April 2006–July 2009, he was a Postdoctoral Fellow with Biomedical Imaging Group, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, where he specialized in optical-coherence tomography, holography, splines, sparse signal processing, and sampling theories. In July 2009, he joined the Department of Electrical Engineering, IISc, where he is currently a Professor and directs research with Spectrum Lab. His lab works on cutting-edge topics in speech processing, image processing, compressed sensing, inverse problems in computational imaging, and machine learning. He served as an Adjunct Faculty with the Centre for Neuroscience, IISc. He was Vice-Chair (2013–2017) and Chair (2017–2021) of IEEE Signal Processing Society Bangalore Chapter, an Associate Editor for the IEEE SIGNAL PROCESSING LETTERS (2013–2017), an Associate Editor for the SPIE Journal of Electronic Imaging (2014–2018), a Senior Area Editor of the IEEE SIGNAL PROCESSING LETTERS (2017–2021), and an Associate Editor for the IEEE TRANSACTIONS ON IMAGE PROCESSING (2018-2022), an Area Chair for the IEEE International Conference on Acoustics, Speech, and Signal Processing 2020, and an elected member of IEEE Technical Committee on Computational Imaging (2020-2023). He served as the Session Chair and Special Session Organizer at several editions of premier international and national conferences -- notably, ICASSP (International Conference on Acoustics, Speech, and Signal Processing), ICIP (IEEE International Conference on Image Processing), ISBI (International Symposium on Biomedical Imaging), SampTA (Sampling Theory and Applications), DSP Conference (Digital Signal Processing conference), SPCOM (Signal Processing and Communications), and NCC (National Conference on Communications). He received the Outstanding Editorial Board Member award in the year 2022 for his service as Associate Editor of IEEE Transactions on Image Processing. He served on the Organizing Committee (Tutorials, Publicity, and Local Organization) of Interspeech 2018, IEEE International Symposium on Biomedical Imaging 2020, served as the General Chair of International Conference on Signal Processing and Communications 2020. He was the recipient of Prof. Priti Shankar Teaching Award from IISc, Digital Health Prize at National Bio-Entrepreneurship Competition (NBEC) 2018, the Grand Challenges Exploration – India (Round 5) Research Award funded by Bill and Melinda Gates Foundation and Biotechnology Industrial Research Assistance Council in 2020, and four Qualcomm Innovation Fellowship awards (joint recipient with Ph.D. students) during 2019-2022.
He held the following visiting positions:
Visiting Professor, Universidad Nacional Autonoma de Mexico (UNAM). Host: Prof. Francisco Jose Chavez Garcia (Instituto de Ingenieria) and Prof. Martin Cardenas-Soto (Geophysics department). Period: December 10-19, 2017. This visit was sponsored by an Indo-Mexico Joint Research Program.
Visiting Professor, Coherent Imaging Group, Johannes Kepler Universität Linz, Austria. Host: Dr. Bettina Heise and Prof. Kurt Hingerl. Period: June 26 - July 3, 2016.
Visiting Professor, Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong. Host: Prof. Thierry Blu; Period: August 18-31, 2014.
Visiting Professor, Data Analytics and Visualization Group, Faculty of Computer Science, University of Vienna, Austria. Host: Prof. Torsten Moeller, Period: May 12-26, 2014.
Visiting Professor, Biomedical Optics Laboratory (lob.epfl.ch), Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland. Host: Professor Theo Lasser (http://people.epfl.ch/theo.lasser). Period: June 25, 2013 to July 31, 2013.
Visiting Professor, Department of Electronic Engineering, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong. Host: Professor Thierry Blu (http://www.ee.cuhk.edu.hk/~tblu/monsite/phps/). Period: May 10 - June 24, 2012.
Visiting Professor, Biomedical Imaging Group (bigwww.epfl.ch), Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland. Host: Professor Michael Unser (http://bigwww.epfl.ch/unser/index.html). Period: May 15 - July 15, 2011.
Siddarth Asokan
Theory and Practice of Generative Adversarial Networks
Nareddy Kartheek K Reddy
Sparsity, Deep Learning, Inverse Problems
Abijith J. Kamath
Event-Driven Sampling, Neuromorphic Signal Processing
Nishanth Shetty
Diffusion Models
Rahul Raju Pogu
M.Tech.(AI)
Foreign Object Detection
Udaykanth Reddy Kallam
M.Tech.(AI)
Visualization in AI for Healthcare
Saurabh Shrivastava
M.Tech.(AI)
AI for Healthcare
Hritik Jaiswal
M.Tech.(SP)
Automated Driver Assistance Systems
Rahul Roy
M.Tech.(AI)
Nikhil Bisen
M.Tech.(AI)
G. Ramesh Babu
M.Tech.(AI)
Monalisa Bakshi
M.Tech.(SP)
Gayathri Venkat
M.Tech.(SP)
Ainampudi Suresh Varma
M.Tech.(SP)
Abhishek S. B.
M.Tech.(SP)
Parth Dhir
M.Tech.(AI) Online, Walmart
Harishwar Reddy Kasireddy
Project Lead
AI for Healthcare
Siddarth Mantrala
Project Engineer
AI for Healthcare
Akhil Routhu
Intern from NIT Calicut
Generative Modeling
Aadithya Srikanth
Intern from PESU, Bangalore
Generative Modeling
Nikunj Bhagat
DBT Ramalingaswami Fellow
Neuroprosthetics
M. Manjula Shankar
Administrative Lead