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Ilker Hacihaliloglu

Assistant Professor


Dr. Hacihaliloglu obtained his B.Sc.(2001) and M.Sc. (2004) degrees from Istanbul Technical University (Turkey) and his Ph.D. from the University of British Columbia (2010).  Following his Ph.D.  he joined the Center for Hip Health and Mobility and Vancouver General Hospital as a post-doctoral fellow (2010-2013). He was a faculty member at Rutgers University (NJ, USA) in the Department of Biomedical Engineering and an Adjunct faculty member in the Department of Radiology from 2014 to 2021. In 2010 he was awarded the prestigious Mathematics of Information Technology and Complex Systems (MITACS) – NCE Strategic Post-doctoral Scholarship. He is also the recipient of the 2017 North American Spine Society Young Investigator Award. He has served as Program Committee Member, Area Chair, and Session Chair at MICCAI, IPCAI, CAOS meetings. In addition to striving for excellence in research, he also aspires to be an excellent instructor.

Education & Training

  • B.Sc. and M.Sc. Electrical Engineering, Istanbul Technical University
  • Ph.D. Electrical and Computer Engineering, University of British Columbia

Area of Interest

Dr. Ilker Hacihaliloglu’s research is aimed at developing innovative machine learning methods for processing various medical image data with a clinical focus in neurosurgery, liver disease, orthopedic surgery, lung disease, and interventional radiology. A core mission of his research is to drive innovation in artificial intelligence (AI) towards industrial and clinical services and products. With a long-standing track record of working collaboratively with clinicians, his research aims to diminish the gap between exploratory engineering research and clinical research and bring technologies from bench-to-bed-side. He is specifically interested in decentralizing healthcare (out of hospital care) by applying point of care ultrasound for out-of-hospital risk assessment to enable a more personal, accessible, and connected healthcare.

Example project: Noncommunicable diseases (NCDs) account for 71% of all deaths worldwide, claiming nearly 41 million people each year. People with chronic NCDs often face several challenges in accessing healthcare, resulting in an increased risk of mortality. For this project, we are developing an AI-powered point of care ultrasound (POCUS) imaging platform for improved out-of-hospital management of NCDs. We are aiming to deploy our imaging solution at healthcare centers, care homes, pharmacies, and athletic centers.