DrAli Braytee

Senior Lecturer

School of Computer Science

BIO

Dr Ali Braytee is a Senior Lecturer and Program Coordinator of IT Short Courses & Microcredentials at the School of Computer Science in the Faculty of Engineering and IT, University of Technology Sydney, Australia. Ali is currently instructing micro-credentials in data analytics and has experience teaching/coordinating various data analytics and programming courses at both undergraduate and postgraduate levels. Ali completed a PhD in Machine Learning from the University of Technology Sydney (UTS), and prior he holds an MSc in Computer Science from the University of Wollongong, Australia.

Ali conducts research on machine learning, computer vision, and Generative AI, focusing on developing and implementing techniques to solve real-world problems in various sectors such as health, environmental engineering, and education. Ali's research findings are published in top-ranked reputable academic journals (IEEE/ACM) and conference proceedings (ERA-A). Ali (co)-developed AI solutions across diverse domains, including cancer research, vertigo detection, medical VQA, AI chatbots, telecom, agriculture, and environmental engineering, using technologies like deep learning, LLMs, RAG, and multimodality.


He is enthusiastic about leveraging advanced AI technologies to provide innovative solutions for real-world challenges in the industry, including the use of LLM, LVM, conversational AI chatbots and RAG across multiple domains. Prior to his academic pursuits, Ali led various software development projects from 2007 to 2014.

UNIVERSITY OF TECHNOLOGY SYDNEY APPOINTMENTS

  • Senior Lecturer
    University of Technology Sydney, Engineering and IT, Sydney, AustraliaJul 2024 - present
  • Lecturer
    University of Technology Sydney, School of Computer Science, AustraliaJan 2023 - Jul 2024

DEGREES

  • PhD, Machine Learning
    University of Technology Sydney, Sydney, Australia2014 - 2018
  • Master's of Computer Science
    University of Wollongong, Wollongong, Australia2007 - 2008

PROFILE TYPE

  • Academic

AVAILABILITY

  • Masters Research or PhD student supervision
  • Industry Projects
  • Membership of an advisory committee
  • Collaborative projects

DISCIPLINES