Fwd: Seventh Lecture- Cyber-Physical Systems Distinguished Lecture Series, CPS – DLS, organized by Institute of Informatics and Communications, IIC, University of Delhi, and IEEE Signal Processing Society-Delhi chapter

[Nitisha Aggarwal]

Dear All

The Institute of Informatics and Communications (IIC), University of Delhi, jointly with the IEEE Signal Processing Society-Delhi chapter, has started a Cyber-Physical Systems Distinguished Lecture Series (CPS – DLS) beginning March 2022. IEEE Delhi chapter and IIC have been very active in organizing webinars with the help of international experts of diverse disciplines.

The Seventh lecture of this series is scheduled for 03 February 2023 and will be delivered by Prof. Pier Luigi Dragotti, Professor, Department of Electrical and Electronic Engineering, Imperial College, London, UK

Event Details:  Cyber-Physical Systems Distinguished Lecture Series (CPS – DLS)

Topic:  Computational Imaging: Theory and Applications

Speaker:    Prof. Pier Luigi Dragotti, Professor, Department of Electrical and Electronic Engineering, Imperial College, London, UK

Date & Time: February 03, 2023 | Friday | 03:00 PM (IST)

Registration Link:  Click here

E-certificates will be issued to all the participants.

Speaker Bio

Pier Luigi Dragotti is Professor of Signal Processing in the Electrical and Electronic Engineering Department at Imperial College London and Fellow of the IEEE. He received the Laurea Degree (summa cum laude) in Electronic Engineering from the University Federico II, Naples, Italy, in 1997; the Master degree in Communications Systems from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland in 1998; and PhD degree from EPFL, Switzerland, in 2002. He has held several visiting positions. In particular, he was a visiting student at Stanford University, Stanford, CA in 1996, a summer researcher in the Mathematics of Communications Department at Bell Labs, Lucent Technologies, Murray Hill, NJ in 2000, a visiting scientist at Massachusetts Institute of Technology (MIT) in 2011 and a visiting scholar at Trinity College Cambridge in 2020. Dragotti was Editor-in-Chief of the IEEE Transactions on Signal Processing (2018-2020), Technical Co-Chair for the European Signal Processing Conference in 2012, Associate Editor of the IEEE Transactions on Image Processing from 2006 to 2009. He was also an Elected Member of the IEEE Computational Imaging Technical Committee and the recipient of an ERC starting investigator award for the project RecoSamp. Currently, he is IEEE SPS Distinguished Lecturer. His research interests include sampling theory, wavelet theory and its applications, computational imaging and data-driven signal processing.

Abstract
The revolution in sensing, with the emergence of many new imaging techniques, offers the possibility of gaining unprecedented access to the physical world, but this revolution can only bear fruit through the skilful interplay between the physical and computational realms. This is the domain of computational imaging which advocates that, to develop effective imaging systems, we need to rethink imaging as an integrated sensing and inference model.
In the first part of the talk we highlight the centrality of sampling theory in computational imaging and  investigate new sampling modalities which are  inspired by the emergence of new sensing mechanisms. We discuss time-based sampling which is connected to event-driven cameras where pixels behave like neurons and fire when an event happens. We derive sufficient conditions and propose novel algorithms for the perfect reconstruction of classes of non-bandlimited functions from time-based samples. These results inspires the design of deep neural networks for the reconstruction of intensity videos from events.In the second part of the talk, we develop the interplay between learning and computational imaging. We discuss the problem of monitoring the activity of neurons with two-photon microscopes and present a model-based neural network for the localization of neurons. The architecture of the network is model-based and is designed using the unfolding technique. Finally, we focus on the heritage sector which is experiencing a digital revolution driven in part by the increasing use of non-invasive, non-destructive imaging techniques. These new imaging methods provide a way to capture information about an entire painting and can give us information about features at or below the surface of the painting. We focus on Macro X-Ray Fluorescence (XRF) scanning which is a technique for the mapping of chemical elements in paintings and introduce a method that can process XRF scanning data from paintings. The results presented show the ability of our method to detect and separate weak signals related to hidden chemical elements in the paintings. We analyse the results on Leonardo’s “The Virgin of the Rocks” and show that our algorithm is able to reveal, more clearly than ever before, the hidden drawings of a previous composition that Leonardo then abandoned for the painting that we can now see. 

Organizing Committee

• Chair- Professor Sanjeev Singh, HoD Institute of Informatics and Communications, University of Delhi & Joint Director, University of Delhi, South Campus
• Co-Chair-Professor Monika Aggarwal, CARE Group, IIT Delhi & Chairperson- IEEE SPS- Delhi Chapter, India
• Convener- Dr Geetika Jain Saxena,  University of Delhi, New Delhi India
• Co-Convener- Dr Amit Pundir,  University of Delhi, New Delhi India

The event is free to attend for all. However, prior registration is recommended. Please feel free to inform about the event to your friends and colleagues.
The flyer for the event is enclosed.

Kindly make the best use of this event to enhance your knowledge on this subject.

Thanks & Regards

Organizing Team,
CPS Lab

https://cps.iic.ac.in/