DrAnwarul Patwary
Lecturer
School of Elec Eng, Comp and Math Sci (EECMS)
Orcid identifier0000-0003-0760-3835
- LecturerSchool of Elec Eng, Comp and Math Sci (EECMS)
- 08 9266 9350 (Work)
BIOGRAPHY AND RESEARCH IMPACT
Dr. Anwarul Patwary is a Lecturer(Assisstant Professor) in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), Faculty of Science and Engineering, Curtin University. His research focuses on graph neural networks, distributed machine learning, neural network explainability & interpretability and intelligent computing systems. Dr. Patwary's work spans areas such as network science & it's application, and emerging applications of artificial intelligence in computing systems. He is actively involved in collaborative research, student supervision, and the development of innovative approaches that bridge academic research with real-world industry challenges. Through his research and teaching, he contributes to the advancement of next-generation digital technologies and the preparation of future computing professionals.
ACADEMIC POSITIONS
- LecturerCurtin University, Perth, Australia29 Jun 2026 - present
- Adjunct LecturerUniversity of Western Australia, Perth, Australia1 Jan 2026 - present
- LecturerUniversity of Western Australia, Perth, Australia5 Feb 2022 - 31 Dec 2025
- Post-Doctoral ResearcherUniversity of Western Australia, Perth, Australia24 May 2021 - 31 Dec 2021
- Research AssistantUniversity of Western Australia, Perth, Australia21 Nov 2019 - 30 Sep 2020
- Casual AcademicUniversity of Tasmania, Hobart, Australia1 Feb 2016 - 19 Nov 2019
DEGREES
- Graduate Certificate in University TeachingUniversity of Melbourne, Melbourne, Australia10 Mar 2026 - present
- Doctor of PhilosophyUniversity of Tasmania, Hobart, Australia28 Aug 2015 - 30 Aug 2019
- Masters of Science(by research)Universiti Putra Malaysia, Seri Kembangan, Malaysia1 Jan 2010 - 31 Dec 2011
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- BengaliCan read, write, speak, understand and peer review
ROLE
- Staff
SUPERVISOR LEVEL
- Level 2 (Co-Supervisor): Provides supporting supervision and subject-matter expertise alongside the primary supervisor.
FIELDS OF RESEARCH
- 4606 - Distributed computing and systems software
- 4611 - Machine learning
- 4613 - Theory of computation
- 4605 - Data management and data science
- 4602 - Artificial intelligence
DEPARTMENT
- School of Elec Eng, Comp and Math Sci (EECMS)