SEMINAR NOTICE
RECENT TRENDS IN SIGNAL PROCESSING AND EVOLUTIONARY COMPUTING
Prof. Ganapati Panda, FNAE, FNASc, FIET (UK).
DATE
& TIME : 04 September
2014,
3.30 PM
VENUE:
Humanities Auditorium
Abstract
Signal processing and soft and evolutionary computing are extensively used in many applications including engineering, science, and economics. In the recent past, many emerging and interesting tools of signal processing and evolutionary computing have been proposed in the literature and have been gainfully employed to solve many complex problems. In this talk, an overview of the recent developments in these two areas will be dealt and few interesting applications using the latest tools in these areas will be discussed. The talk will include adaptive, distributed, robust and intelligent signal processing and their potential applications to active noise control, hearing aid, natural language processing, intelligent sensors, sensor networks, and biomedical engineering. It will also cover the use of bio-inspired techniques to design intelligent systems for various applications such as communication and forecasting of exchange rates and stock indices.
BIO
Professor Ganapati Panda is currently working as a visiting professor at Indian Institute of Technology Bhubaneswar. During 2009-13 Professor Panda served as the Deputy Director of this institute. Prior to this he was working as Dean (Academic Affairs) and Head, School of Electrical sciences of this institute. He also served as Dean (Administration) at National Institute of Technology, Rourkela. He was a member of Board of Governors of IIT Bhubaneswar and NIT Rourkela. He was the founder Head of school of Electrical Sciences at IIT Bhubaneswar as well as the founder Head of Electronics and Communication Engineering department of NIT Rourkela. He also served as Director of National Institute of Technology, Jamshedpur. He also acted as Co-ordinator, World Bank Project at National Institute of Technology, Rourkela. .
He has served 41 years in teaching and research in leading technical institutions of Odisha like College of Engineering Burla (16 years), National Institute of Technology, Rourkela (22 years) and Indian Institute of Technology, Bhubaneswar (4 years). He did his Post-Doctoral research work at the University of Edinburgh, UK (1984-86) and Ph. D. from IIT, Kharagpur in 1981 in the area of Electronics and Communication Engineering. He has already guided 35 Ph.D.s in the field of Signal Processing, Communication and Soft- computing. He has published more than 365 research papers in various referred International and Indian Journals and Conferences with more than 4100 citations and h-index of 33. Eight more PhD students are continuing their PhD work under his active guidance.
He has successfully completed number of research projects from AICTE, MHRD, ISRO, DRDO, DST and British Council, UK. He has also edited two books in the area of DSP. He was nominated as the Fellow of the National Academy of Engineering, India (FNAE) and Fellow of National Academy of Science, India (FNASc) for his significant research contribution to signal processing and telecommunication. For the year 2012, Dr. Panda has been awarded the prestigious Biju Patnaik award of Odisha Bigyan Academy for Scientific Excellence in recognition of his outstanding life time contributions in the field of science and technology. He also received Samanta Chandra Sekhar award from the department of Science and Technology, Govt. of Odisha for his high quality research work in the field of Engineering in 1993. He is a Senior Member of IEEE, Fellow of IET, Fellow of IETE, Fellow of IE, Life Member of CSI, Life Member of ISTE and Life Member of System Society.
He is a regular reviewer of many international journals including IEEE, IET and Elsevier. He has chaired and delivered keynote addresses in many international conferences in India and abroad. His research interests are Digital Signal Processing, Digital Communication, Soft Computing, Intelligent Instrumentation, Evolutionary Computing, Computational Finance, Sensor Networks and Distributed Signal Processing.