Sarah Ali, PhD
Title/s: Clinical Assistant Professor
Office #: 310 Cuneo Hall
Dr. Ali is a clinical assistant professor in Engineering Science with a specialization in the field of biomedical engineering. Dr. Ali graduated in 2015 with a Ph.D. in electrical engineering at Laval University in Quebec City, Canada. Prior to joining Loyola University Chicago, Dr. Ali worked at Size Stream as a Scientist and software developer. Her main focus was to develop algorithms for the 3D modeling of human bodies. She also had the opportunity to work at GE Healthcare where she developed software related to healthcare applications.
Designing software for medical device is very crucial in the field of healthcare. Dr. Ali is interested in investigating the recent technologies of processing medical images and designing software for medical devices. Her other interests are in computer vision, image processing and machine learning.
- Sarah Ali, Zahra Toony and Denis Laurendeau,
"A 3D vision-based inspection method for comparing locally deformable 3D models",
Machine Vision and Applications, vol. 26, no 7, pp. 1061-1078, Nov. 2015.
- Van-Toan Cao, Van Tung Nguyen, Trung Thien Tran, Sarah Ali and Denis Laurendeau,
"Non-rigid Registration for Deformable Objects’",
in VISIGRAPP2014, 9th international joint conference in computer vision, Imaging and computer graphics theory and applications, (Lisbon, Portugal), pp. 43-52, January 2014.
- Trung Thien Tran, Van-Toan Cao, Van Tung Nguyen, Sarah Ali and Denis Laurendeau,
"’Automatic method for sharp feature extraction from 3D data of man-made objects’",
in VISIGRAPP2014, 9th international joint conference in computer vision, Imaging and computer graphics theory and applications, (Lisbon, Portugal), January 2014.
- Sarah Ali, Trung Thien Tran, Van-Toan Cao and Denis Laurendeau,
"An approach for local comparison of deformable 3D models",
in Second IAPR Asian Conference on Pattern Recognition, ACPR 2013, (Okinawa, Japan), November 2013.
- Sarah Ali, Trung Thien Tran and Denis Laurendeau,
"A Comparative Survey on 3D Models Retrieval Methods",
REV Journal on Electronics and Communications, vol. 2, no 5, pp. 1-11, April 2013.