Bio: I am currently an Assistant Professor, and Organizer of Monash Software Systems and Cybersecurity (SSC) Seminars series in the Faculty of Information Technology (FIT), Department of Software Systems and Cybersecurity (SSC), at Monash University. I am selected as a Heidelberg Laureate Forum (HLF) Top 200 young computer science and mathematics scientist in 2024. Also, I am the recipeint of 2022 IEEE TCCLD Outstanding PhD Thesis Award, 2022 IEEE TCSC Outstanding Ph.D. Dissertation Award, 2022 Oracle Cloud Architect of the Year Award, and 2021 IEEE Outstanding Service Award.
Research Interest: My current research interests lie at the intersection of Distributed Systems, Cloud/Edge Computing, the Internet of Things (IoT), and Machine Learning. Explore the Open Positions, Research Projects, and Research Team sections to discover the exciting topics we are currently working on. Iโm always eager to collaborate on innovative ideas, and I encourage passionate students to reach out and discuss their ideas with me. Let us create something impactful together!
Faculty of Information Technology (FIT),
Monash University,
Clayton, VIC, Australia
Open Positions
1. PhD Positions in Distributed Systems for Machine Learning (International and Australia)
Looking for motivated students interested in designing and implementation of Machine Learning solutions over large-scale Distributed Systems (e.g., distributed inference, distributed tranining, federated learning).
2. PhD Positions in Applied Machine Learning for Distributed Systems problems (International and Australia)
Looking for motivated students interested in applying Machine Learning solutions for Distribtued Systems problems (e.g., scheduling, routing, loadd balancing)
3. Master Research Students (Australia)
Multiple openings for research thesis in large-scale Distributed Systems (e.g., Cloud, Edge, IoT), Distributed Machine Learning, and Distributed Data Processing for Big Data.
Latest News
Accepted Paper in IEEE Transactions on Mobile Computing
Our paper "A knowledge distillation-empowered adaptive federated reinforcement learning framework for multi-domain IoT applications scheduling" was published in IEEE Transactions on Mobile Computing (Core A*/JCR Q1). Congratulations to Zhiyu ๐
Accepted Paper in Sustainable Energy, Grids and Networks
Our paper "Efficient bidirectional charge scheduling for electric vehicles: Optimizing cost and carbon emissions" was published in Sustainable Energy, Grids and Networks (JCR Q1).
US Patent Published: Method and device for determining security compliance of network infrastructure
Our US patent application "Method and device for determining security compliance of network infrastructure" was published by the US Patent Office. Congratulations to all co-inventors ๐
ABC News Interview: What we know about Amazonโs AWS outage and why it was such a big deal
ABC News interview featuring Mohammad Goudarzi discussing the global AWS outage and its impact on internet services.
Accepted Paper in Future Generation Computer Systems
Our paper "A secure framework for containerized IoT applications in integrated edge-cloud computing environments" got accepted in Future Generation Computer Systems (Core A/JCR Q1). Congratulations to Qifan ๐
Accepted Paper in Journal of Network and Computer Applications
Our paper "ReinFog: A Deep Reinforcement Learning empowered framework for resource management in edge and cloud computing environments" got accepted in Journal of Network and Computer Applications (Core A/JCR Q1). Congratulations to Zhiyu ๐
Accepted Paper in IEEE Transactions on Services Computing
Our paper "TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments" got accepted in IEEE Transactions on Services Computing (CORE A*). Congratulations to Zhiyu ๐
HLF Top 200 Young Scientists
I am selected as one of the top 200 young computer science and mathematics by the Heidelberg Laureate Forum (HLF) and will attend 11th HLF in Heidelberg, Germany
Assistant Professor @Monash University
Statrted new position at Monash University as an Assistant Professor!
PATENT
Our project, "IoT Data Security Project," culminated in the development of a patented innovation titled "Method and Device for Determining Security Compliance of Network Infrastructure."
Senior Research Associate @UNSW Sydney
I will be joining the UNSW Sydney to work as the Lead Researcher in the IoT Data Security project in collaboration with Cisco and Cybersecurity CRC
IEEE TCSC Best PhD Thesis Award
My PhD thesis awarded Outstanding PhD Thesis Award by IEEE Technical Committee on Scalable Computing (IEEE TCSC). Citation reads as โFor Energy and Time Aware Scheduling of Applications in Edge and Fog Computing Environmentsโ
IEEE TCCLD Best PhD Thesis Award
My PhD thesis awarded Outstanding PhD Thesis Award by IEEE Technical Committee on Cloud Computing (IEEE TCCLD). Citation reads as โFor outstanding research on energy and time aware scheduling of Internet of Things applications in Edge and Fog computing environments using novel Artificial Intelligence-enabled techniques.โ
Oracle Cloud Architect of the Year Award
We have received Oracle Cloud Architect of the Year AWard 2022
IEEE Outstanding Service Award
I received IEEE Outstanding Service Award. Citation Reads as "For your services as Cyber Chair to The 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing"
Oracle Cloud Infrastructure (OCI) ARM Accelerator Grant
We have receveid "OCI ARM Accelerator Grant" to develop and deploy our resource management framework for IoT data
Rowden White Scholarship
I am selected as the Highly Talented Graduate Student among all Graduate Students at The University of Melbourne and receveid "The Rowden White Scholarship"
Current Projects
SmartScaleSys (S3)
AI-Driven Resource Management for Efficient and Sustainable Large-Scale Distributed Systems
NeuroDistSys (NDS)
Optimized Distributed Training and Inference on Large-Scale Distributed Systems
EdgeFusionAI (EFAI)
Real-Time Multi-Sensor Multi-Modal Intelligence on Resource-Constrained Edge Devices
EdgeVLMOpt (EVO)
Optimizing Vision-Language Models for Resource-Constrained Edge Devices
Selected Papers
A knowledge distillation-empowered adaptive federated reinforcement learning framework for multi-domain IoT applications scheduling
IEEE Transactions on Mobile Computing
Efficient bidirectional charge scheduling for electric vehicles: Optimizing cost and carbon emissions
Sustainable Energy, Grids and Networks (Elsevier)
Method and device for determining security compliance of network infrastructure
US Patent with Cisco, UNSW
A secure framework for containerized IoT applications in integrated edge-cloud computing environments
Future Generation Computer Systems (FGCS)
ReinFog: A Deep Reinforcement Learning empowered framework for resource management in edge and cloud computing environments
Journal of Network and Computer Applications (JNCA)
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
IEEE Transactions on Services Computing (TSC)
A Future in Motion: Reimagining Public Transport with Diverse Autonomous Vehicles
33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)
Towards Threat Modelling of IoT Context-Sharing Platforms
22nd International Symposium on Network Computing and Applications (NCA)
Method and device for determining security compliance of network infrastructure
AU Patent with Cisco, UNSW
Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments
Future Generation Computer Systems (FGCS)
ฮผ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments
IEEE Transactions on Services Computing (TSC)
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
IEEE Transactions on Mobile Computing (TMC)
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
ACM Computing Surveys (CSUR)
iFogSim: An extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
Journal of Systems and Software (JSS)
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
IEEE Transactions on Mobile Computing (TMC)
A Fog-driven Dynamic Resource Allocation Technique in Ultra Dense Femtocell Networks
Journal of Network and Computer Applications (JNCA)
A Fast Hybrid Multi-site Computation Offloading for Mobile Cloud Computing
Journal of Network and Computer Applications (JNCA)