Shyam Madhusudhana, Ph.D.
As a postdoc within the BRP, 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 had been associated with the Centre for Marine Science and Technology (CMST), Australia (as a Research Associate), National Institute of Oceanography (NIO), India (as a Research Associate) and Indian Institute of Science Education and Research (IISER-Tirupati), India (as a postdoctoral research fellow).
I have been actively involved with IEEE’s Oceanic Engineering Society (OES) 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.
Besides professional activities, I enjoy travelling, running, hiking, camping, photography, strumming on my guitar, and playing cricket.