CSE welcomes our newest academic staff members

CSE is thrilled to have three new academic staff joining us in 2022. Arash Shaghaghi, Xiaoyang Wang and Imran Razzak each bring unique talents and years of experience to our school, and we warmly welcome their expertise and new enthusiasm to the CSE community, and look forward to their upcoming contributions with us.

Arash Shaghaghi joins as a senior lecturer in cyber security. Arash is an award-winning educator, and as a researcher has a track record of leading funded projects resulting in publications with competitive international conferences and journals. He has received funding in excess of $550,000AUD for his cyber security research, including from the Australian Government and Cyber Security Cooperative Research Centre (CSCRC). Arash has received awards and appraisals for his research performance including several best-paper awards and university recognitions, and his research findings have been covered by publications including  the Australian Broadcasting Corporation (ABC). Arash currently serves as associate editor for the Journal of Ad Hoc Networks.

Xiaoyang Wang joins CSE as a lecturer. He received his PhD degree from the University of New South Wales and was a research associate both at UNSW and the University of Technology Sydney. His research areas are database and data mining, with a special focus on efficient query processing and data mining over large-scale graphs, spatial data and streaming data.

Imran Razzak comes onboard as senior lecturer in human-centered machine learning.

Previously, he worked as a senior lecturer and director of the graduate certificate in "Emerging Technologies in Supply Chain" at the School of Information Technology, at Deakin University. Imran completed his PhD in Analytics at the University of Technology Sydney. He has published more than 130 papers in reputed journals and conferences and has attracted more than one million worth of research grants. He is an associate editor/guest editor of several journals including at IEEE TCSS, IEEE JBHI, IEEE TII, and SPC of dozens of conferences. His area of research includes machine learning as applied to a broad range of topics, particularly deep learning, natural language processing, and computer vision with a special emphasis on the biomedical domain, including the development of efficient machine learning solutions for rare diseases analysis. Imran is passionate about making the healthcare industry a better place through the use of emerging technologies.