Personal profile
Biography
Dr. Mohammad Goudarzi is a Lecturer (Assistant Professor) in the Department of Software Systems and Cybersecurity at Monash University. Before his current position, he was affiliated with UNSW Sydney and Cybersecurity CRC, where he served as a Senior Research Associate on a joint project with Cisco. He earned his PhD in Computer Science and Engineering from The University of Melbourne.
Please Visit my personal website @ https://www.mgoudarzi.info/ for the latest updates, open positions, and projects.
Honors/Awards
- Selected as one of the top 200 young computer science and mathematics scientists by the Heidelberg Laureate Forum (HLF), International (2024).
- The Monash Faculty Education Excellence Award for Programs that Enhance Learning (FIT5225 - Cloud Computing and Security) (2023).
- The IEEE TCCLD Outstanding Ph.D. Thesis Award, International (2022).
- The IEEE TCSC Outstanding Ph.D. Dissertation Award, International (2022).
- The Oracle Cloud Architect of the Year Award, International (2022).
- Two research papers are selected among the most popular papers in IEEE Transactions on Mobile Computing (TMC) (CoRE A*), 2022.
- Computer Science (CS) Research Artefacts Grant, The University of Melbourne, Australia (2022).
- IEEE Outstanding Service Award, International (2021).
- The Oracle Cloud Infrastructure (OCI) ARM Accelerator Grant, International (2021).
- Rowden White Scholarship - Selected as the Highly Talented Ph.D. Student, The University of Melbourne, Australia (2019).
- The Iranian National Elites Foundation Award and Prize (top 0.1%), Iran (2015).
Monash teaching commitment
Dr. Mohammad Goudarzi teaches the following units in the Faculty of IT:
- FIT5225 (Cloud Computing and Security)
- FIT5202 (Data Processing for Big Data)
Education/Academic qualification
Engineering (Distributed Systems), Doctor of Philosophy (PhD), University of Melbourne
2 Jul 2018 → 30 Jun 2022
Award Date: 30 Jun 2022
Research area keywords
- Distributed Systems and Algorithms
- Cloud Computing
- Edge Computing
- Internet of Things (IoT)
- Applied Machine Learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Collaborations and top research areas from the last five years
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ReinFog: A Deep Reinforcement Learning empowered framework for resource management in edge and cloud computing environments
Wang, Z., Goudarzi, M. & Buyya, R., Oct 2025, In: Journal of Network and Computer Applications. 242, 20 p., 104250.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus) -
TF-DDRL: A Transformer-Enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
Wang, Z., Goudarzi, M. & Buyya, R., 2025, In: IEEE Transactions on Services Computing. 18, 2, p. 1039-1053 15 p.Research output: Contribution to journal › Article › Research › peer-review
32 Link opens in a new tab Citations (Scopus) -
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments
Wang, Z., Goudarzi, M., Gong, M. & Buyya, R., Mar 2024, In: Future Generation Computer Systems. 152, p. 55-69 15 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile142 Link opens in a new tab Citations (Scopus) -
FLight: A lightweight federated learning framework in edge and fog computing
Zhu, W., Goudarzi, M. & Buyya, R., May 2024, In: Software: Practice and Experience. 54, 5, p. 813-841 29 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile20 Link opens in a new tab Citations (Scopus) -
Resource management in edge and fog computing using FogBus2 framework
Goudarzi, M., Deng, Q. & Buyya, R., 2024, Managing Internet of Things Applications across Edge and Cloud Data Centres. Ranjan, R., Mitra, K., Prakash Jayaraman, P. & Y. Zomaya, A. (eds.). London UK: Institution of Engineering and Technology (IET), p. 17-52 36 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research
1 Link opens in a new tab Citation (Scopus)