Brief Bio:
Pandu Devarakota received the M.Tech. degree in instrument technology from the Indian Institute of Technology (IIT), New Delhi, India in 2003 and the Ph.D. degree in signal processing from the Royal Institute of Technology (KTH), Stockholm, Sweden in 2008. His Ph.D program was carried in cooperation with the University of Luxembourg and IEE S.A. of Luxembourg. As a part of his Master’s degree studies, he was an exchange student at the Laboratory of Communication Engineering, University of Karlsruhe, Karlsruhe, Germany, in 2002. From January 2008 to mid of 2012, Dr. Devarakota was Member of Technical Staff at Algorithms Research group at Siemens Technology Centre, Bangalore, India. Currently Dr. Devarakota is working as Manager at India Software Development Centre, Canon India Pvt Ltd, Bangalore, India. His research interests include image analysis and processing, high performance computing, machine learning, computer-aided diagnosis (CAD), object detection and tracking in medical and industrial imaging.
Brief Bio:
Dr. M. S. Dinesh obtained his Ph.D. from University of Mysore in the year 2000 in the area of Pattern recognition and Image Processing. He has more than 13 years of industrial/research experience in the area of medical imaging. He worked at Siemens and GE at various capacities, where he is currently Senior Scientist (Systems – architect) of Molecular Imaging Group, GE Healthcare, John F. Welch Technology Center, Bangalore. He has filed 12 patents ( 6 granted and 6 in pipeline) and published more than 30 technical research papers in international/national journals/conferences.
Brief Bio:
Yogesh Simmhan is an Assistant Professor at the Supercomputer Education and Research Centre (SERC) at IISc. Previously, he was a Research Assistant Professor in Electrical Engineering at the University of Southern California, Los Angeles and Associate Director of the USC Center for Energy Informatics. As head of the DREAM:Lab at SERC, his research explores abstractions, algorithms and applications on distributed data and computing systems, and commodity Clouds. These advance fundamental knowledge on scalable computing, and offer a practitioner's insight on building software systems to empower dynamic, distributed and Big Data applications. Yogesh has a Ph.D. in Computer Science from Indiana University and was earlier a Postdoc at Microsoft Research, San Francisco. He is a Senior Member of IEEE and ACM.
Brief Bio:
Dr. R.S. SHIVAKUMARA ARADHYA obtained B.E (Electrical) and M.E (Power Systems) from UVCE, Bangalore in 1978 and 1981 respectively. He obtained Ph.D degree in High Voltage Engineering from I.I.Sc., Bangalore, in 1994. He joined Central Power Research Institute (CPRI) in 1981 and has been serving in various technical and administrative capacities. Presently, he is working as Additional Director in- charge of High Voltage division, Power Systems Division, Diagnostics, Cables & Capacitors Division and Research and Development Coordination Division of CPRI. He has published more than 100 peer reviewed articles and a holder of four patents.
Brief Bio:
Dr. M. Girish Chandra obtained his BE in Electronics from University Visvesvaraya College of Engineering (UVCE), Bangalore, India and MTech from IIT Madras in Communication Systems and High Frequency Technology. He obtained his PhD (and subsequently the DIC) as a Commonwealth Scholar in Digital Communication from Imperial College, London. He is a Senior Scientist with the TCS Innovation Labs- Bangalore from Jan 2005. Earlier, he was with the Aerospace Electronics Division of National Aerospace Laboratories (NAL), Bangalore, India, holding the position of Assistant Director. His research interests are in the broad areas of Communications and Signal Processing, including Source Separation, Compressive Sensing, Error Control Coding, Channel Equalization, Geolocation, Cognitive Radio and Networks, Cross-Layer Design, Adaptive & Multimedia Signal Processing as well as Nonlinear Signal Processing using Neuro-Fuzzy & Soft Computing techniques. He has more than 50 publications in Journals/ Conferences and has filed more than 10 patents (with co inventors). He has given many invited lectures (including four key-note addresses) and short courses on topics related to Communications and Signal Processing. He was: a guest faculty at UVCE, an Adjunct Visiting Professor in the Department of Information and Communication Technology at Manipal Institute of Technology, India and an adjunct faculty at IIIT, Bangalore, handling master-level courses. He has served as a Technical Program Committee member for many international and national conferences on Communications and Signal Processing. Further, he has been a session chair on five occasions and a member for panel discussion in many conferences/symposiums. He was a co chair for three Workshops/ Symposiums, quite recent one being the Cognitive Radio and Networks Symposium of IEEE GLOBECOM 2012.
Brief Bio:
Prasanta Kumar Ghosh is a faculty fellow in the department of Electrical Engineering at Indian Institute of Science (IISc), Bangalore under the INSPIRE faculty fellowship program. He received his Ph.D. in Electrical Engineering from University of Southern California (USC), Los Angeles, USA in 2011. Prior to that he obtained his M.Sc.(Engineering) in Electrical Communication Engineering from IISc and B.E.(ETCE) in Electronics from Jadavpur University, Kolkata in 2006 and 2003 respectively. He has been a Research Intern at Microsoft Research India, Bangalore in the area of audio-visual speaker verification from March to July in 2006. During 2011-2012 he was with IBM India Research Lab (IRL) as a researcher. Prasanta Kumar Ghosh was awarded the INSPIRE faculty fellowship from Department of Science and Technology (DST), Govt. of India in 2012. He was the winner of the first prize in Mr. BRV Varadhan Post-Graduate student paper contest in IEEE Bangalore chapter, in 2005. He received the best M.Sc. (Engg.) thesis award for the year 2006-07 in the Electrical Sciences division at IISc. He was awarded Center of Excellence in Teaching's award for excellence in teaching in the category of EE for the year 2010-11 in USC. He has also received the best teaching assistantship (TA) awards for the years 2007-08 and 2008-09 and the honorable mention for the best paper award in the EE, USC. He was also awarded Ming Hsieh Institute (MHI) Ph.D. scholar for the year 2010-11 in EE, USC. 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.