Dr James Zheng
Main Research Interest: Intelligent Software Engineering for AI and by AI
Location: Room 361, Becton-Dickinson (BD) Building, Macquarie University, Australia
Google citation: https://scholar.google.com/citations?user=SNfRGJoAAAAJ&hl=en
Dr Zheng got PhD in Software Engineering from UT Austin, Master of Computer and Information Science from UNSW, Bachelor of Computer Information System from Fudan; Chief Solution Architect for Menulog Australia (2005-2012, the company sold for 8.55 billion Australian Dollars), now a senior lecturer (Associate Professor US) in Software Engineering at Macquarie University and a distinguished Professor at Donghua University in China.
Specialized in Service Computing, IoT Security and Reliability Analysis. Published more than 60 high-quality publications in top journals and conferences (PerCOM, ICSE, ICCPS, IEEE Systems Journal, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Vehicular Technology). Awarded the best paper in Australian distributed computing and doctoral conference in 2017. Awarded Deakin Research outstanding award in 2016.
Reviewer for top journals and conferences (IEEE Systems Journal, ACM Transactions on Design Automation of Electronic Systems, Pervasive and Mobile Computing, IEEE Transaction on Cloud Computing, PerCOM, IEEE Internet of Things, Future Generation Systems, ACM Transactions on Internet Technology). Publicity Chair for IEEE International Conference on Trust, Security and Privacy in Computing and Communications 2020 (Core A).
Dr Zheng is recruiting well-motivated and dedicated PhD and Master by Researcher students to research above-mentioned research domains and research projects. Dr Zheng is also welcoming students to do internship units with him for some interesting yet challenging research projects in IoT and Service Computing.
- [August, 2020] Our paper “Privacy-Preserving Federated Learning Framework Based on Chained Secure Multi-party Computing” is published in IEEE Internet of Things Journal.
- [August, 2020] Our paper “Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A survey” is published in IEEE Transactions on Intelligent Transportation Systems.
- [August, 2020] Our paper “BAGKD: A Batch Authentication and Group Key Distribution Protocol for VANETs” is published in IEEE Communications Magazine.
- [August, 2020] Our paper “ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses” is accepted by International Conference on Service Oriented Computing (ICSOC). CORE A. (ACCEPTANCE RATE < 17%)
- [August, 2020] Our paper “RICA-MD: A Refined ICA algorithm for Motion Detection” is published in ACM Transactions on Multimedia Computing, Communications, and Applications.
- [August, 2020] Our paper “Fog based Secure Service Discovery for Internet of Multimedia Things: A Cross-Blockchain Approach” is published in ACM Transactions on Multimedia Computing, Communications, and Applications.
- [July, 2020] Our paper “Security Analysis of Indistinguishable Obfuscation for Internet of Medical Things Applications” is published in Computer Communications.
- [July, 2020] Our paper “Achieving Democracy in Edge Intelligence: A Fog-based Collaborative Learning Scheme” is published in IEEE Internet of Things Journal.
- [July, 2020] Our paper “Efficient and Lightweight Data Streaming Authentication in Industrial Automation and Control Systems” is published in IEEE Transactions on Industrial Informatics.
- [July, 2020] Our paper “Unsupervised Learning-Based Continuous Depth and Motion Estimation with Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery” is published in IEEE Transactions on Industrial Informatics.
- [June, 2020] Our paper “Leveraging ICN with Network Sensing for Intelligent Transportation Systems: A Dynamic Naming Approach” is published in IEEE Internet of Things Journal.
- [June, 2020] Our paper “TTSVD: an Efficient Sparse Decision Making Model with Two-way Trust Recommendation in the AI Enabled IoT Systems” is published in IEEE Sensors Journal.
- [June, 2020] Our paper “TDD4Fog: A Test-Driven Software Development Platform for Fog Computing Systems” is accepted by IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). CORE A.
- [May, 2020] Our paper “HUCDO: A Hybrid User-Centric Data Outsourcing Scheme” is published in ACM Transactions on Cyber-Physical Systems.
- [May, 2020] Our paper “Efficient human activity recognition using a single wearable sensor” is published in IEEE Internet of Things Journal.
- [April, 2020] Our paper “An Intelligent Dynamic Offloading from Cloud to Edge for Smart IoT Systems with Big Data” is published in IEEE Transactions on Network Science and Engineering.
- [March, 2020] Our paper “A Security-Enhanced Certificateless Aggregate Signature Authentication Protocol for InVANETs” is published in IEEE Network.
- [March, 2020] Our paper “Trust2Privacy: A Novel Fuzzy Trust-to-Privacy Mechanism for Mobile Social Networks” is published in IEEE Wireless Communications.
- [February, 2020] Our paper “Dynamic Clustering Method for Imbalanced Learning Based on Adaboost” is published in Journal of Supercomputing.
- [February, 2020] Our paper “A survey of security and privacy issues in the Internet of Things from the layered context” is published in Transactions on Emerging Telecommunications Technologies.
- [February, 2020] Our paper “Privacy-preserving time series medical images analysis using a hybrid deep learning framework” is published in ACM Transactions on Internet Technology.
- [January, 2020] Our paper “Leveraging Energy Function Virtualization with Game Theory for Fault-Tolerant Smart Grid” is published in IEEE Transactions on Industrial Informatics.
- [January, 2020] Our paper “A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments” is accepted by PerCom 2020 WiP track (Like ICSE NIER).
- [January, 2020] Our paper “FengHuoLun: A Federated Learning based Edge Computing Platform for Cyber-Physical Systems” is accepted by PerCom 2020 WiP track (Like ICSE NIER).
- [December, 2019] Our paper “ An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models” is accepted by PerCom 2020.(ACCEPTANCE RATE < 10%)
Dr. Lei Pan
Associate Director: Incubation Platform
Location: Room 3.19, Building T, Deakin University, Australia
Dr Pan obtained PhD in Computer Forensics from Deakin University, Master of Science from Chalmers University of Technology, Sweden, now a senior lecturer in Cyber Security at Deakin University. Specialized in Cyber Security and Artificial Intelligence applications. Published more than 30 high-quality papers in top journals and conferences (IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE transactions on Industrial Informatics, Scientific Reports, ICDM). Reviewer for top journals and conferences (IEEE Communications Surveys and Tutorials, IEEE Transactions on Information Forensics and Security, ACISP).
Dr Pan is recruiting well-motivated and dedicated PhD and Master by Researcher students to do research in above-mentioned research domains and research projects. Dr Pan has over 10 years experience in mentoring and supervising research students, CySCA Blackthorne teams, ACM ICPC programming teams.
Dr. Mengshi Zhang
Industry Project Supervisor: Automated Software Debugging and Machine Learning
Dr Mengshi Zhang is a Research Scientist at Facebook. Mengshi obtained his master’s and PhD degrees in Electrical and Computer Engineering from the University of Texas at Austin in 2017 and 2019, respectively. Before that, he received his bachelor’s degree in Electronic Engineering from Tsinghua University in 2014. At UT Austin, he was a member of the Software Verification Validation and Testing Laboratory led by Prof. Sarfraz Khurshid. His research interests lie in Automated Software Debugging and Machine Learning.
Prof. Jian Yang
Program Leader: Social Network and Big Data Analytics.
Location: Room 316, Becton-Dickinson (BD) Building, Macquarie University, Australia
Dr Jian Yang is a full professor at the Department of Computing, Macquarie University. She received her PhD in Multidatabase Systems area from The Australian National University in 1995. Before she joined MacquarieUniversity, she worked as an associate professor at Tilburg University, Netherlands (2000-2003), a senior research scientist at the Division of Mathematical and Information Science, CSIRO, Australia (1998-2000), and as a lecturer (assistant professor) at Dept of Computer Science, The Australian Defence Force Academy, University of New South Wales (1993-1998).
Dr Yang has published papers in international journals and conferences such as IEEE transactions, Information Systems, Data & Knowledge Engineering, CACM, VLDB, ICDCS, CAiSE, CoopIS, CIKM, etc. She has served as a program committee member in various international conferences such as ICDE, CAiSE, ER, CoopIS, ICSOC, BPM, ICWS, SCC, WISE, WAIM, etc. She is also a regular reviewer for journals such as IEEE Transactions on Knowledge & Data Engineering, Data & Knowledge Engineering, VLDB Journal, IEEE Internet Computing, etc. She has served as conference/program co-chairs of ICSOC and BPM. Currently, she is on the steering committee of the International Conference on Service Computing (ICSOC).
Her main research interests are: social network, big data analytics, web service technology; business process management; interoperability, trust in social networks, and e-commerce.
Dr. Yipeng Zhou
Program Leader: Federated and Distributed Learning; Intelligent Multimedia Networks/Systems
Location: Room 371, Becton-Dickinson (BD) Building, Macquarie University, Australia
Yipeng Zhou is a lecturer in computer science with the Department of Computing at Macquarie University and the recipient of ARC DECRA in 2018. From Aug. 2016 to Feb. 2018, he was a research fellow with the Institute for Telecommunications Research (ITR) of the University of South Australia. From 2013.9 to 2016.9, he was a lecturer at the College of Computer Science and Software Engineering, Shenzhen University. He was a Postdoctoral Fellow with the Institute of Network Coding (INC) of The Chinese University of Hong Kong (CUHK) from Aug. 2012 to Aug. 2013. He won his Ph.D. degree and Mphil degree from Information Engineering (IE) Department of CUHK respectively. He got a Bachelor’s degree in Computer Science from the University of Science and Technology of China (USTC).
Dr. Alireza Jolfaei
Program Leader: Cyber-Physical Systems Security
Location: Room 370, Becton-Dickinson (BD) Building, Macquarie University, Australia
Alireza Jolfaei received a Ph.D. degree in Applied Cryptography from Griffith University, Gold Coast, Australia. He is an Assistant Professor in Cyber Security at Macquarie University, Sydney, Australia. Before this appointment, he worked as an Assistant Professor at Federation University Australia and Temple University in Philadelphia, USA. His current research areas include Cyber Security, IoT Security, Human-in-the-Loop CPS Security, Cryptography, AI, and Machine Learning for Cyber Security. He has authored over 50 peer-reviewed articles on topics related to cybersecurity. He has received multiple awards for Academic Excellence, University Contribution, and Inclusion and Diversity Support. He received the prestigious IEEE Australian council award for his research paper published in the IEEE Transactions on Information Forensics and Security. He received a recognition diploma with a cash award from the IEEE Industrial Electronics Society for his publication at the 2019 IEEE IES International Conference on Industrial Technology. He is a founding member of the Federation University IEEE Student Branch. He served as the Chairman of Computational Intelligence Society in IEEE Victoria Section and also as the Chairman of Professional and Career Activities for IEEE Queensland Section. He has served as the guest associate editor of IEEE journals and transactions, including IEEE IoT Journal, IEEE Transactions on Industrial Applications, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Emerging Topics in Computational Intelligence. He has served over 10 conferences in leadership capacities including program co-Chair, track Chair, session Chair, and Technical Program Committee member, including IEEE TrustCom. He is a Senior Member of the IEEE and an ACM Distinguished Speaker on the topic of Cyber-Physical Systems Security.
Dr. Xuyun Zhang
Program Leader: Anomaly Detection
Location: Becton-Dickinson (BD) Building, Macquarie University, Australia
Dr. Xuyun Zhang is currently working as a senior lecturer in the Department of Computing at Macquarie University in Sydney. He worked as a lecturer at the University of Auckland during 2016 ~ 2019 and a postdoc researcher in the Machine Learning Research Group at NICTA (National ICT Australia, now Data61, CSIRO) during 2014 ~ 2016. He got his Ph.D. degree in Computer Science and Technology from the University of Technology Sydney (UTS) in 2014, and his Master’s and Bachelor’s degrees in the same major from Nanjing University in 2011 and 2008, respectively.
His research interests mainly include privacy-preserving big data sharing and mining, secure machine learning and cybersecurity, cloud/edge computing and big data analytics, etc. He has published over 90 refereed academic papers on high-quality and influential conferences and journals in the abovementioned areas, such as IEEE TPDS, TKDE, TC, TSE, TII, JSAC, and ICDE. His research work was well recognised through a New Zealand Royal Society Marsden Fund (Fast Track), and The University of Auckland ECREA (Early-Career Research Excellence Award). He was also a winner of Chancellor’s Award for Best Ph.D. Thesis at UTS in 2014, and the prestigious Chinese Government Award for Outstanding Self-Financed Student Abroad in 2012. So far, he has received several external or internal research funds with a total fund over AUD$600K.
Dr. Tianqing Zhu
Program Leader: Data Privacy and Differential Privacy Deep Learning
Tianqing Zhu received her BEng and MEng degrees from Wuhan University, China, in 2000 and 2004, respectively, and a Ph.D. degree from Deakin University in Computer Science, Australia, in 2014. Dr. Tianqing Zhu is currently a senior lecturer in the school of software at the University of Technology Sydney, Australia. Before that, she was a lecture in the School of Information Technology, Deakin University, Australia, from 2014 to 2018. Her research interests include privacy-preserving, data mining, and network security.
She has received one ARC Linkage grant (LP170100123) with the title Provable Privacy-preserving Data Sharing System for the Cloud Environment; one ARC Discovery grant (DP190100981) with the title Enhancing privacy preservation in dynamic cyberspace, and four industry grants totaling 120,000 AUD.
Dr. Xiao Liu
Program Leader: Edge and Fog Computing
Location: Room T2.19, No. 221 Burwood Highway, Deakin University, Australia
Dr. Xiao Liu is currently Associate Head of School (International) and Senior Lecturer at the School of Information Technology, Deakin University, Melbourne, Australia. Xiao received his Ph.D. degree in Computer Science and Software Engineering from Swinburne University of Technology, Melbourne, Australia, 2011. Xiao started his research in the area of Software Engineering and Distributed Systems with the focus of workflow applications since 2005. He has published extensively in the areas of business workflows, scientific workflows, and cloud computing, including 40+ international journal articles (including ACM ToSEM, IEEE TSE, IEEE TPDS, IEEE TC, JPDC, JSS, WWWJ), and 50+ international conference papers (including ICSE, ASE, ICWS, ICSOC, ICSSP, IPDPS). According to Google Scholar, Xiao has over 2400 citations and an h-index of 23.
Dr. Sheng Wen
Program Leader: System Security and Social Media Analysis
Location: Department of Computer Science and Software Engineering, Swinburne University of Technology, Australia
Dr. Sheng Wen received his Ph.D. degree from Deakin University, Melbourne, in October 2014. Currently, he has been working full-time as a senior lecturer at the Swinburne University of Technology. Before this, he first worked as a research fellow and then a Lecturer in Computer Science in the School of Information Technology at Deakin University from the year 2015. Dr. Wen manages several research projects in the last three years. Since late 2014, Dr. Wen has received over four (4) million Australian Dollars’ funding from both academia and industries, including ARC Linkage Projects and CSRIO-Defence Joint Projects. Dr. Wen is now the Program Leader for System Security & Blockchain in Swinburne Cybersecurity Lab.
Dr. Tianyi Zhang
Program Leader: Human-Computer Interaction and Software Modelling
Location: Computer Science, Harvard University
Tianyi Zhang is a Postdoctoral Fellow in Computer Science at Harvard University. He obtained his Ph.D. in Computer Science from the University of California, Los Angeles, and his B.S. in Computer Science from Huazhong University of Science and Technology. His research interests primarily reside in Software Engineering and Human-Computer Interaction. He builds scalable mining frameworks and interactive systems that learn and visualizes patterns in massive code corpora.
Dr. Huai Liu
Program Leader: Software Testing
Location: Department of Computer Science and Software Engineering, Swinburne University of Technology, Australia
Dr. Huai Liu is a Lecturer in the Department of Computer Science and Software Engineering at the Swinburne University of Technology, Melbourne, Australia. He has worked as a Lecturer at Victoria University and a Research Fellow at RMIT University. He received the BEng in photoelectronic technology and MEng in communications and information systems, both from Nankai University, China, and the Ph.D. degree in software engineering from the Swinburne University of Technology, Australia. Before working in Higher Education he worked as an engineer in the IT industry. His current research interests include software testing, cloud computing, and end-user software engineering.
Dr. Xiwei Xu
Program Leader: Blockchain
Location: Data61, CSIRO, Level 3, K17 Building, Gate 14, Barker Street, Kensington, Sydney, Australia
Dr. Xiwei Xu received a Ph.D. degree from the University of New South Wales (UNSW). She is currently a Senior Research Scientist with the Architecture and Analytics Platforms (AAP) Team, Data61, CSIRO, Sydney, and also a Conjoint Lecturer with the School of Computer Science and Engineering (CSE), UNSW. Her main research interests include software architecture. Since 2015, she has been working on blockchain. She has participated in many blockchain commercial projects with industrial partners and with the Australian government. She published the book “Architecture for blockchain applications” with her two colleagues, which summarises the blockchain work and experience the AAP research team has done in the past 3 years. She also researches in the areas of service computing, business process, cloud computing, and dependability.
Dr. Jiong Jin
Program Leader: Robotic Internet of Things Systems
Location: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia
Dr. Jiong Jin received the B.E. degree with First Class Honours in Computer Engineering from Nanyang Technological University, Singapore, in 2006, and the Ph.D. degree in Electrical and Electronic Engineering from the University of Melbourne, Australia, in 2011. He is currently a Senior Lecturer in the School of Software and Electrical Engineering, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia. Before it, he was a Research Fellow in the Department of Electrical and Electronic Engineering at the University of Melbourne from 2011 to 2013. Jiong’s research is, in general, focused on the control and optimization of networked and embedded systems such as networked robotics and the Internet of Things (IoT). More specifically, his research interests include network design and optimization, fog and edge computing, robotics and automation, and cyber-physical systems, and the Internet of Things as well as their applications in smart manufacturing, smart transportation, and smart cities. The goal of his research is to develop foundational theories and tools for a concrete understanding and modeling of network system dynamics, and to design scalable architecture and distributed algorithms for better performance, efficiency, and robustness, and to further provide predictions that can be quantitatively verified by empirical data. Jiong is currently leading a Robotic Internet of Things research group, consisting of 11 Ph.D. students, 1 master by research student, and 10 undergraduate final year research project students. He has received one ARC Discovery Project entitled “Real-time Internet of Things Algorithms with Performance Guarantees”, and four industry grants totaling more than 1M AUD.
Industry Engagement Officers
Dr. Robert Abbas
Industry Engagement Officer
Location: School of Engineering, Macquarie University, Australia
Phone: +61 2 9850 1558
Robert Abbas is 4G,5G,6G, IoT Network Solution Architect, received a Ph.D. degree- Information Technology -Wireless Data in 1988 from Dresden Technical University, Germany, and a Master’s degree from the Polytechnic Institute of Odessa. Robert has Long term experience in Lecturing, Associate Professor at TU teaching undergraduate and postgraduate students, Research Master Degrees, Research PhD Degrees supervision in the field of Mobile Communications, Data Analytics and Computer Networking performance optimization , Wollongong University – Centre for Information Technology Research, network performance development, Antenna diversity project / Vodafone project, Consultant for cell planning and optimization RF Guidelines student Text Book for NSW TAFE Patent Registration – Patent number WPHo413/3026976 in Patent Amt Berlin, field of Mobile Data Communications, Technical University of Dresden / in Germany, IEEE ANZSCON conference 2017 First prize for an innovation smartphone parking location application research project, Consulting as a system solution architect for major international companies in the field of Mobile Communication Technology LTE all IP Networks, 4G ,4.75G with Nokia USA, T-Mobile USA ,AT&USA and Huawei Germany. His research interests are in the areas of Big Data Analytics and Network Security for 6G, 5G, IoT, SDN, MEC, V2X.
Researchers and PhDs
Jianchao Lu got a Master of Research with Distinction from Macquarie University, Master of Professional Accounting and Master of Commerce from Deakin University, Bachelor of Computer Science and Technology from Shanghai Sanda University. Now Ph.D. candidate at Macquarie University. Specialized in Human Behaviour Detection in Autonomous Driving and published a paper in IEEE Engineering in Medicine and Biology Society (EMBC), Australasian Computer Science Week (ACSW), IEEE International Conference on Web Services (ICWS), International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous).
Yao Deng received a Bachelor’s degree in Information Technology from Deakin University, Australia in March 2018, a Bachelor’s degree in Software Engineering from Southwest University, China in July 2018, and a Master of Research degree in Computing from Macquarie University, Australia in 2020. He is currently pursuing his Ph.D. degree at Macquarie University. His current research interests include adversarial attacks and defenses, metamorphic testing, simulation testing, and anomaly detection on autonomous driving systems.
Yong Li is a lecturer in Network Engineering with the College of Computer Science and Engineering at the Changchun University of Technology and also a Ph.D. Candidate of Computer Architecture at Jilin University in China. He got a Master’s degree in Computer Architecture from Jilin University and a Bachelor’s degree in Computer Science and Education from Jilin Normal University in China.
His study is currently focused on Edge-computing, Federated Learning, Blockchain, and their applications in IoT and Vehicular networks.
Youhua Xia got a Master of Computer Application Technology from Fujian Normal University, Bachelor of Computer Science and Technology from Yichun University. Now Ph.D. candidate at Wuhan University and Macquarie University. Specialized in Vehicular Ad Hoc Networks using Deep Learning. Now working on the Privacy-Aware Data Scheduling in Vehicular Networks Based on Incentive Mechanism and published a paper in IEEE Access.
Chuxuan Tong received a Master of Data Science from the University of Queensland and a Bachelor of IT from the Queensland University of Technology. Currently, she is a Ph.D. student working on the Deep learning-based voiceprint authentication system for IoT at Deakin University.
Jiwei (Wayne) Guan received the Bachelor of Business and Master of Information Technology from Federation University in Australia. Also, he got a Master research from Macquarie University in Australia. Jiwei Guan is the team leader in the smart speaker project and takes part in intelligent security projects by deep learning. Since 2016, he has been in Ubtech and QianDing in Shenzhen, China. After that, he works in CSIRO data61 in Brisbane, Australia. His research interests are natural language processing, robotics, and sensing network, specialized in dialogue systems and object detection.
Yupeng Jiang got a Master of Computer Science from UNSW, Bachelor of Science in Computer Software specialty from Jilin University. Now studying Master of Research in Computing at Macquarie University specialized in big data analysis in IoT.
Guannan Lou received the Bachelor’s degree in Information Technology from Deakin University, Australia in March 2018, the Bachelor’s degree in Software Engineering from Southwest University, China in July 2018, and the Master of Data Science from Sydney University, Australia in 2020. Currently, he is a Ph.D. candidate at Macquarie University. His research interests include machine learning, machine learning security, metamorphic testing, and natural language processing.
Jiaqi Ge received the B.S. and M.S. degree from the College of Computer Science and Technology, Jilin University, China, where she is currently pursuing a Ph.D. degree. Her main research interest is distributed computing, and now she’s currently working on federated learning and blockchain.
Yi (Cathy) has received an IT Master’s degree from Federation University and a Bachelor’s degree from the Southwestern University of Finance and Economics in Accounting and Finance. Now, she is studying in the Department of Computing at Macquarie University and working as a research assistant in our team. The projects she participates in are cybersecurity in vehicular communication and healthcare Internet of Things for the seniors.
Master of Research in Computing at Macquarie University
Yuzhe Tian got a Bachelor of Engineering (Majored in Computer Science) from Xidian University in China. Now studying for Master of Research in Computing at Macquarie University specialized in Distributed Federated Learning.
Master of Research in Computing at Macquarie University
Gang Luo got a Bachelor’s in Electronic Information Engineering from Chengdu Technological University in China. He’s currently working on Edge-based Deep Learning.
Alumni and Visit Scholar
Samundra Deep is currently a Ph.D. candidate at Macquarie University. He graduated with a Master’s degree in Computer Science and Technology from UESTC China and Bachelor’s Degree in Computer Engineering from NIT Surat, India. He’s currently working on Device Free Human Activity Recognition for Elderly Care.