Passive Acoustics • Automatic Pattern Recognition • Statistical Learning • Signal Processing
My current research involves developing solutions for automatic source separation in continuous ambient audio streams and the development of acoustic deep-learning techniques for unsupervised multi-class classification in the big-data realm, with focus on efficient utilization of modern computing capabilities in achieving real-time performance.
My research interests have been largely multidisciplinary. In the past, I worked as a speech scientist for a leading Automatic Speech Recognition (ASR) solutions provider, before steering my career into bioacoustics and allied disciplines. My Masters thesis offered passive acoustic solutions to monitoring free-ranging blue and fin whales in the Pacific Ocean, and my doctoral research involved development of solutions for the automation of underwater soundscape assessments.
Prior to joining Cornell, I was a research associate with the Centre for Marine Science and Technology (CMST) in Australia, a research associate at the National Institute of Oceanography (NIO) in India , and a postdoctoral research fellow at the Indian Institute of Science Education and Research (IISER-Tirupati), also in India.
I have been actively involved with IEEE’s Oceanic Engineering Society (OES) as an AdCom member and, currently, I serve as the coordinator of Technology Committees. I also referee manuscripts for the Journal of the Acoustical Society of America and, in the past, have refereed for the Australian Acoustical Society as well.
Ph.D., Applied Physics, Curtin University, Australia
M.S., Computer Science, San Diego State University, California
B.E., Computer Science and Engineering, Visvesvaraya Technological University, India