Topic of Research Seminar: AI for 3D faces and Lumbar Spine Images: Challenges, Solutions and Applications

Abstract: In this talk, I will discuss my scientific contributions in 3D face and Lumber Spine Image analysis. One of the pivotal tasks in shape analysis is to find a meaningful mapping between two or more shapes. The process, called shape correspondence, is a pre-requisite for many computer vision, computer graphics and medical image analysis applications. Dense correspondence is required to guarantee representation of global shape changes and to detect very subtle changes within a class of shapes.

More than 55,000 people world-wide die from Cardiovascular Disease (CVD) each day. Calcification of the abdominal aorta is an established marker of asymptomatic CVD. It can be observed on scans taken for vertebral fracture assessment from Dual Energy X-ray Absorptiometry machines. Assessment of Abdominal Aortic Calcification (AAC) and timely intervention may help to reinforce public health messages around CVD risk factors and improve disease management, reducing the global health burden related to CVDs.

This talk will focus on the problem of establishing dense correspondence between a large number of 3D faces, the challenges faced and my contributions in this field. It will then take the audience through the applications of 3D face analysis in medical and psychological fields as well as in face recognition through deep learning. The talk will also present a proposal for a novel and reliable framework for automated “fine-grained” assessment of AAC in DXA scans; mimicking the human scoring process.

Subject Field of Topic: Artificial Intelligence

Name of Speaker: Zulqarnain Gilani

Professorial Rank of Speaker: Research Fellow, Co-lead Technology and Innovation Theme, Institute for Nutrition Research and Health Innovation, Member Centre for Artificial Intelligence and Machine Learning, School of Science| Edith Cowan University

University Email of Speaker: [email protected]

Research Group Weblink: https://research-repository.uwa.edu.au/en/persons/zulqarnain-gilani https://orcid.org/0000-0002-7448-2327

Affiliation of Speaker: International

Date and Venue: December 21, 2022, Seminar Hall, NUST School of Electrical Engineering and Computer Science (NUST-SEECS), NUST Islamabad Campus