2-5pm: An Introduction to Statistical Signal Processing by Prof Subhrakanti Dey, MU
Brief synopsis of lecture content:
Statistical estimation algorithms are used in a multitude of applications in global positioning systems, channel parameter estimation in wireless communication systems, biological applications, object tracking and automatic control systems. Similarly, statistical detection algorithms are used in anomaly and intrusion detection, detecting changes in environmental (such as pollution levels) and infrastructure monitoring applications, and surveillance.
In this lecture, we will cover basic aspects of statistical detection such as Bayesian Neyman-Pearson detection algorithms, linear minimum mean square error estimation (MMSE) algorithms, state estimation algorithms such as Kalman filtering, and hidden Markov models.
Speaker biography: Subhrakanti Dey received the Bachelor in Technology and Master in Technology degrees from the Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, in 1991 and 1993, respectively, and the Ph.D. degree from the Department of Systems Engineering, Research School of Information Sciences and Engineering, Australian National University, Canberra, in 1996.
He is currently a Professor with the Hamilton Institute, National University of Ireland, Maynooth, Ireland. Prior to this, he was a Professor with the Dept. of Engineering Sciences in Uppsala University, Sweden (2013-2017), Professor with the Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Australia, from 2000 until early 2013, and a Professor of Telecommunications at University of South Australia during 2017-2018. From September 1995 to September 1997, and September 1998 to February 2000, he was a Postdoctoral Research Fellow with the Department of Systems Engineering, Australian National University. From September 1997 to September 1998, he was a Postdoctoral Research Associate with the Institute for Systems Research, University of Maryland, College Park.
His current research interests include wireless communications and networks, signal processing for sensor networks, networked control systems, and molecular communication systems.
The SFI Centre for Research Training in Foundations of Data Science will train a cohort of PhD students with world-class foundational understanding in the horizontal themes of Applied Mathematics, Statistics, and Machine Learning.
Let us be part of your #PhD journey. 36 fully-funded studentships waiting to be filled starting in Sept 2021. Hear what our students say about the CRT @UCDGS @UL @MaynoothUni @IUAofficial #believeinscience #phdchat
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