Associate Professor of Bioengineering and Biomedical Engineering, NYU Abu Dhabi
Azhar Zam is an Associate Professor of Bioengineering at the Division of Engineering, New York University in Abu Dhabi (NYUAD). He is also an Associated Faculty at the Department of Biomedical Engineering, NYU Tandon School of Engineering in New York. Dr. Zam received his Bachelors of Science in Medical Physics from University of Indonesia, his M.Sc. in Biomedical Engineering from University of Luebeck in Germany and his PhD in Engineering from Friedrich-Alexander-University Erlangen-Nuremberg in Germany. He is the founder and director of the Laboratory for Advanced Bio-Photonics and Imaging (LAB-π) at NYUAD.
Zam’s research interests focused on the development of smart devices for medical imaging, diagnostics, and monitoring using novel optical technologies, which include smart laser surgery, optical coherence tomography (OCT), photoacoustics, biomedical spectroscopy, AI-aided optical diagnostics and imaging, optical-based smart biosensors, and miniaturized systems. He is an associate editor for the Biophotonics section of Frontiers in Photonics and reviews editor for the Retina section of Frontiers in Ophthalmology. He has written over 85 peer-reviewed articles and book chapters, and books and holds more than several patents.
Before joining NYUAD, Zam was an Assistant Professor in Medical Laser and Optics at the Department of Biomedical Engineering, University of Basel, Switzerland, where he founded the Biomedical Laser and Optics Group (BLOG) and co-established the MIRACLE II flagship project. Prior to that, he held research positions at the University of Waterloo, Waterloo, ON, Canada, the National University of Ireland Galway, Galway, Ireland, the Toronto Metropolitan University (formerly known as Ryerson University), Toronto, ON, Canada, and the University of California at Davis, Davis, CA, USA.
Research Interests: Biomedical Optics, Biomedical Spectroscopy, Optical Coherence Tomography (OCT); Photoacoustics; Optical-based Smart and Miniaturized Systems; AI-aided optical diagnostics and imaging.