Artificial Intelligence on the Sphere: Spatial Slepian Transform for Localized Variation Analysis
To demonstrate the utility of the proposed transform, we carry out localized variation analysis, in which we employ SST to detect hidden localized variations in the signal. We illustrate, through a toy example, that spatial-Slepian transform yields a much better estimate of the underlying region of hidden localized variations than scale-discretized wavelet transform.
Dr. Zubair Khalid will be talking about “Artificial Intelligence on the Sphere: Spatial Slepian Transform for Localized Variation Analysis” on 22 October 2021 at 11:30 am.
This seminar is being organized by the Department of Electrical Engineering as Fall 2022 Research Seminar Series. The next seminar will be on 19 November 2021, Friday.
Please join via Zoom meeting link:
About the Speaker:
Dr. Zubair Khalid (Senior Member, IEEE) received BSc (First-class Hons.) degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan in 2008, and the PhD degree in engineering from The Australian National University of Canberra, ACT, Australia in August 2013. He is currently working as Assistant Professor with the Department of Electrical Engineering at SBASSE, LUMS. His research interests include signal processing and wireless communication, including the development of novel signal processing techniques for signals on the sphere and the application of stochastic geometry in wireless ad-hoc networks. He was awarded University Gold Medal and Industry Gold Medals from Siemens and Nespak for his overall outstanding performance in electrical engineering during his undergraduate studies. He was the recipient of the Endeavour International Postgraduate Award for PhD studies. Since 2020, he has been a Member of the Editorial Board (Associate Editor) for the IEEE Signal Processing Letters.