Event Info

  • 31st October 2024
  • 9:00 am to 10:00 am
  • SEECS Seminar Hall
  • Speaker: Dr Syed Zulqarnain Gilani
  • Organizer: Dr. Faisal Shafait

Abstract

Automatic detection of Abdominal Aortic Calcification (AAC). More than 55,000 people world-wide die from 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 AAC and timely intervention through diet and nutrition may help to reinforce public health messages around CVD risk factors and improve disease management, reducing the global health burden related to CVDs. I will talk about novel and reliable frameworks for automated assessment of AAC from DXA scans; mimicking the human scoring process.

Speaker

Dr Gilani is the Raine Robson Research Fellow and a Senior Lecturer at the Edith Cowan University, and also holds an Adjunct position at The University of Western Australia. He is the Co-lead of Technology and Innovation Theme, Institute for Nutrition Research and Health Innovation as well as a senior Member Centre for Artificial Intelligence and Machine Learning at ECU. Dr Gilani received his PhD in Computer Science from the University of Western Australia. He is an accomplished researcher with publications in high ranking international journals and conferences not only in Computer Vision but in cross-fields like Psychology, Biology and Medicine. Dr Gilani’s research interests include 3D face analysis, medical imaging, machine learning, statistical modelling, vision and language as well as deep learning. He was recently awarded the DAAD (Germany) AINet Fellowship and also received the 2022 Australian Pattern Recognition Society Early Career Researcher Award.

Event Info

TimingsLocationEvents
9:00 am to 10:00 amSEECS Seminar Hall, NUST H-12 CampusTalk on Machine Learning for Detection of Aortic Calcification: Challenges and Opportunities

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