PG Level Advanced Certification Programme in Deep Learning
Foundations and Applications

Ph.D., Computer Science and Automation, IISc, India
Programme Coordinator

Professor and Chairperson of the Dept. of Computer Science and Automation, IISc. He is a fellow of the Indian Academy of Engineering. His research areas include Unsupervised Learning, Optimization, Autonomous Systems.

Ph.D., Electrical Communication Engineering, IISc, India

Assistant Professor in the Dept. of Electronic Systems Engineering, IISc. Previously a Postdoctoral Research Associate at University of Illinois at Urbana-Champaign. Recipient of Microsoft Research India Rising Star Award for the academic year 2010-2011. His research focuses on Communication Networks, Stochastic Systems, Federated Learning, Optimization and Game Theory.

Ph.D., Electrical Engineering, University of Southern California, USA

Associate Professor at the Dept. of Department of Electrical Engineering, IISc. Before joining IISc, he was a faculty fellow in the department of EE under the INSPIRE faculty fellowship programme. His research interests include Non-Linear Signal Processing Methods for Speech and Audio, Speech Production and its relation to Speech Perception, and Automatic Speech Recognition inspired by the Speech Production and Perception Link.

Ph.D., IISc, India

Professor at the Dept. of Computer Science and Automation, IISc. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). His research interests include Machine Learning and applications of Deep Learning.

Ph.D., Electrical Engineering, IISc, India

Associate Professor at the Dept. of Computational and Data Sciences, IISc. He has held postdoctoral positions at Universities across Europe and worked in industry before taking active interest in academics. His research interests include: Signal Processing, Compression, Machine Vision, Image/Video Processing, Pattern Recognition and Multimedia.

Ph.D., Signal Processing & Machine Learning,
IISc, India
Co-founder/Chief of Engineering, CogniAble Tech

Assistant Professor at the Department of Electrical Communication Engineering, IISc. Before joining IISc, he worked for four years as an Assistant Professor in the Computer Technology Group of Electrical Engineering at IIT Delhi. Before switching to academics, he worked in corporate research labs including Xerox Research India, Philips Research, and a Californian-based startup in the USA. His industry career mainly spanned focussing on healthcare analytics. He has 15 (US) patents to his credit, of which 10 are granted and 6 are commercialized. He co-founded CogniAble Tech which builds learning algorithms for behavioural healthcare (Winner of AI start-up challenge by GoI), and actively engaged with several corporate industries, start-ups, and medical centres (like AIIMS) in solving interesting technical problems. His research interests include guided Deep-Representational Learning, Cross-Domain Generalization, Machine Learning, and Signal Processing ( in healthcare).

Ph.D., Electrical and Computer Engineering, University of Texas at Austin, USA

Assistant Professor in the Dept. of Electrical Communication Engineering, IISc. Previously he worked with Qualcomm Research India, Bangalore. His research interests are broadly in Image and Video Signal Processing, Computer Vision, Machine Learning, and Information Theory.

Ph.D., Johns Hopkins University Baltimore, USA

Assistant Professor in the Dept. of Electrical Engineering, IISc. Previously he worked as Research Staff Member at the IBM T.J. Watson Research Center in Yorktown Heights, NY, USA. His research areas include Machine Learning, Deep Learning, Auditory Neuroscience, Speaker and Language Recognition, Speech Enhancement and Recognition.

Ph.D., Computer Science, Duke University, USA.

Mindtree Chair Professor in the Dept. of Computer Science and Automation, IISc. He also heads Visualization and Graphics Lab. Prior to joining IISc, he was a postdoctoral researcher in the Institute for Data Analysis and Visualization at University of California, Davis. His research areas include Scientific Visualization, Computational Geometry, and Computational Topology.