Director

Dr James Zheng

Main Research Interest: Intelligent Software Engineering for AI and by AI

Email: james.zheng@mq.edu.au
Location: Room 361, Becton-Dickinson (BD) Building, Macquarie University, Australia
Phone: +61-2-9850-6330
Homepage: http://web.science.mq.edu.au/~jxzheng/ 

 

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 assistant professor/lecturer in Software Engineering at Macquarie University.

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).

Dr Zheng is recruiting well motivated and dedicated PhD and Master by Researcher students to do research in 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.


Advisory Board

 

Dr Lei Pan

Associate Director : Incubation Platform

 

Email: l.pan@deakin.edu.au
Location: Room 3.19, Building T, Deakin University, Australia
Phone: +61-3-925-17483
Homepage: https://www.deakin.edu.au/about-deakin/people/lei-pan

 

Dr. Pan obtained PhD in Computer Forensics from Deakin University, Master of Science from Chalmers University of Technology, Sweden, now 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 supervizing research students, CySCA hackthorne teams, ACM ICPC programming teams.

 


Program Leaders

 

Prof.  Jian Yang

Program Leader: Social Network and Big Data Analytics.

 

Email: jian.yang@mq.edu.au
Location: Room 316, Becton-Dickinson (BD) Building, Macquarie University, Australia
Phone: +61-2-9850-9527
Homepage: http://web.science.mq.edu.au/~jian/

 

 

Dr. Jian Yang is a full professor at 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 the international journals and conferences such as IEEE transactions, Information Systems, Data & Knowledge Engineering, CACM, VLDB, ICDCS, CAiSE, CoopIS, CIKM, etc. She has served as 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 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

Email: yipeng.zhou@mq.edu.au
Location: Room 371, Becton-Dickinson (BD) Building, Macquarie University, Australia
Phone: +61-2-9850-6348
Homepage: https://researchers.mq.edu.au/en/persons/yipeng-zhou

 

Yipeng Zhou is a lecturer in computer science with 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 Institute for Telecommunications Research (ITR) of University of South Australia. From 2013.9 to 2016.9, he was a lecturer with College of Computer Science and Software Engineering, Shenzhen University. He was a Postdoctoral Fellow with Institute of Network Coding (INC) of The Chinese University of Hong Kong (CUHK) from Aug. 2012 to Aug. 2013. He won his PhD degree and Mphil degree from Informatio Engineering (IE) Department of CUHK respectively. He got Bachelor degree in Computer Science from University of Science and Technology of China (USTC).

 

Dr Alireza Jolfaei

Program Leader: Cyber-Physical Systems Security

Email: alireza.jolfaei@mq.edu.au
Location: Room 370, Becton-Dickinson (BD) Building, Macquarie University, Australia
Phone: +61-2-9850-9541
Homepage: https://researchers.mq.edu.au/en/persons/alireza-jolfaei

 

Alireza Jolfaei received the 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. Prior to 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 cyber security. 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 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 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 Tianqing Zhu

Program Leader: Data Privacy and Differential Privacy Deep Learning

Email: tianqing.zhu@uts.edu.au
Phone: +61-2-9514-3155
Homepage: https://www.uts.edu.au/staff/tianqing.zhu

 

Tianqing Zhu received her BEng and MEng degrees from Wuhan University, China, in 2000 and 2004, respectively, and a PhD degree from Deakin University in Computer Science, Australia, in 2014. Dr Tianqing Zhu is currently a senior lecturer in the school of software in 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 with totalling 120,000 AUD.

 

Dr Xiao Liu

Program Leader: Edge and Fog Computing

Email: xiao.liu@deakin.edu.au
Location: Room T2.19, No. 221 Burwood Highway, Deakin University, Australia
Phone: +61-3-9244-5428
Homepage: https://sites.google.com/site/drxiaoliu/ 

 

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 PhD 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.

Xiao’s research mainly focuses on non-functional aspects (such as time, cost, energy and reliability) of distributed systems including business and scientific cloud workflow systems, and machine learning for big data analytics in the areas such as social networks, service recommendation and healthcare information systems. As Lead CI, Xiao has successfully applied for several national competitive grants including one project funded by National Science Foundation of China (ARC equivalent, RMB270K), two projects funded by the Ministry of Education China (RMB135K in total), and one linkage project (RBM100K, 17 success out of 152 proposals) funded by Tencent (China’s largest social media company). After joined Deakin University in Oct. 2015, as Lead CI, Xiao has successfully applied for over $150K research funding including 2 industry projects.

 

Dr Sheng Wen

Program Leader: System Security and Social Media Analysis

Email: swen@swin.edu.au
Location: Department of Computer Science and Software Engineering, Swinburne University of Technology, Australia
Homepage: https://www.swinburne.edu.au/research/our-research/access-our-research/find-a-researcher-or-supervisor/researcher-profile/?id=swen 

 

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 in 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 of 2015. Dr. Wen manages several research projects in the last three years. Since late 2014, Dr. Wen has received over four (4) million Australia 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

Email: tianyi.zhang@cs.ucla.edu
Location: Computer Science, Harvard University
Homepage: http://web.cs.ucla.edu/~tianyi.zhang/

 

Tianyi Zhang is a Postdoctoral Fellow in Computer Science at Harvard University. He obtained his Ph.D. in Computer Science from University of California, Los Angeles and his B.S. in Computer Science from Huazhong University of Science and Technology. His research interests primary reside in Software Engineering and Human-Computer Interaction. He builds scalable mining frameworks and interactive systems that learns and visualizes patterns in massive code copora.

 

Dr Huai Liu

Program Leader: Software Testing

Email: hliu@swin.edu.au
Location: Department of Computer Science and Software Engineering, Swinburne University of Technology, Australia
Homepage: https://www.swinburne.edu.au/research/our-research/access-our-research/find-a-researcher-or-supervisor/researcher-profile/?id=hliu 

Dr Huai Liu is a Lecturer in Department of Computer Science and Software Engineering at 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 physioelectronic technology and MEng in communications and information systems, both from Nankai University, China, and the PhD degree in software engineering from the Swinburne University of Technology, Australia. Prior to 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

Email: Xiwei.Xu@data61.csiro.au
Location: Data61, CSIRO, Level 3, K17 Building,Gate 14, Barker Street, Kensington, Sydney, Austrilia

Homepage:https://ts.data61.csiro.au/people/?alumni=True;cn=Sherry+Xu

 

Dr Xiwei Xu received the 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 Australia 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 does research in the areas of service computing, business process, cloud computing, and dependability.

 

Dr Jiong Jin

Program Leader: Robotic Internet of Things Systems

Email: jiongjin@swin.edu.au
Location: School of Software and Electrical Engineering,  Swinburne University of Technology, Melbourne, Australia
Phone: +61-3-9214-8778
Homepage: https://sites.google.com/view/jiongjin

 

 

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. Prior to 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 control and optimization of networked and embedded systems such as networked robotics and 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 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 modelling 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 PhD students, 1 Masters 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 with totalling more than 1M AUD.

 


Researchers and PhDs

Jianchao Lu

PhD Candidate

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 PhD candidate at Macquarie University. Specialized in Human Behaviour Detection in Autonomous Driving and published 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

PhD Candidate

Yao Deng got Bachelor of Information Technology from Deakin University and Bachelor in Software Engineering from South West University in China. Now studying for Master of Research in Computing at Macquarie University.

 

 

Samundra Deep

PhD Candidate

Samundra Deep is currently a PhD 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.

 

 

 

Yong Li

PhD Candidate

Yong Li is a lecturer in Network Engineering with College of Computer Science and Engineering at Changchun University of Technology and also a PhD Candidate of Computer Architecture at Jilin University in China. He got the Master degree of Computer Architecture from Jilin University and Bachelor degree of Computer Science and Education from Jilin Normal University in China.

His study is currently focus on Edge-computing, Federated Learning, Blockchain and their applications in IoT and Vehicular networks.

 

Youhua Xia

PhD Candidate

Youhua Xia got a Master of Computer Application Technology from Fujian Normal University, Bachelor of Computer Science and Technology from Yichun University. Now PhD 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 Mechanis and published a paper in IEEE Access.

 

 

Jiwei Guan

PhD Candidate

Jiwei (Wayne) Guan received the Bachelor of Business and Master of Information Technology from Federation University in Australia. Also he got Master research from Macquarie University in Australia. Jiwei Guan is the team leader in smart speaker project and take part in intelligent security project 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 system and object detection.

 

Yupeng Jiang

Master of Research in Computing at Macquarie University

Yupeng Jiang got 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 analyzing in IoT.

 

 

 

 

Yuzhe Tian

Master of Research in Computing at Macquarie University

Yuzhe Tian got 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.

 

 

Gang Luo

Master of Research in Computing at Macquarie University

Gang Luo got Bachelor in Electronic Information Engineering from Chengdu Technological University in China. He’s currently working on Edge-based Deep Lerning.

 

 

Guannan Lou

Master of Research in Computing at Macquarie University

Guannan Lou got Bachelor in Information Technology from Deakin University and Bachelor in Software Engineering from Southwest University in China. Now studing in the University of Sydney for Master of Data Science. He is currently working on Metamorphic Testing for Deep Learning Models in Autonomous Driving.