My research is concentrated in the area of Software Engineering (SE). It is stimulated by the need of continuously evolving software development processes and practices to help organizations produce high-quality software intensive systems and achieve their business goals. Believing in close cooperation and alignment between industry and academia, my key research capabilities lies in the area of Empirical Software Engineering. My primary goal is to apply qualitative and quantitative research methods to investigate the role of people and processes in different software development paradigms. The key areas of my research interests include: Global Software Development (GSD), Knowledge Management, Continuous Software Engineering, Human factors in Software Engineering, Science to Technology Innovation and Socio-Technical aspects of Cyber Security.

My name is “Lê Bá Dũng” (in Vietnamese script) which can be written in English script as “Ba Dung” (first name) and “Le” (last name). My main research interests are in Data mining, Machine learning and Artificial intelligence. Currently, I am focusing on Classification and Clustering algorithms. I obtained a Ph.D. in Computer Science from the School of Computer Science of University of Adelaide, Australia. My Ph.D. thesis was on the topic “Community detection in complex networks”. During my Ph.D., I developed a novel algorithm for detecting the community structure of complex networks and a novel benchmark for evaluating community detection algorithms. Before pursuing my Ph.D., I was a lecturer at the Faculty of Information Technology of Vietnam Maritime University, Vietnam.

Leonardo H. Iwaya is a Postdoctoral Research Fellow in the Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide on projects funded by the Cyber Security Cooperative Research Centre (CSCRC). His work focuses on information security and privacy for new technologies, in particular mobile and ubiquitous health (mHealth/uHealth) systems. Leonardo completed his PhD in Computer Science at Karlstad University (KAU), MSc in Electrical Engineering at University of São Paulo (USP) and BSc in Computer Science at Santa Catarina State University (UDESC). During his career he already worked for Ericsson Research (Brazil and Sweden) in various projects in the areas of mobile health, cloud network security, and security APIs. During the PhD he worked in many European projects, such as the EU H2020 PAPAYA (PlAtform for PrivAcY preserving data Analytics). At CREST he has been involved in the CSCRC projects such as the Cyber Common Operating Picture for Executive Level Decision-Making, as well as research on security and privacy for mHealth/uHealth systems, and Docker technology. Most of his research intersects the areas of security, privacy, and healthcare with advanced cloud- and AI-based technologies.

Competencies: Privacy engineering, cybersecurity, mobile health, health informatics, privacy impact assessment, natural language processing, human factors, mixed-method research.

Yaser Mansouri is a Research Associate with the Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide working on a project funded by DST. Yaser obtained his Ph.D. from Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, the University of Melbourne, Australia. Yaser was awarded first-class scholarship, International Postgraduate Research Scholarship (IPRS) and Australian Postgraduate Award (APA) supporting his Ph.D. studies. He received his BSc degree from Shahid Beheshti University and his MSc degree from the Ferdowsi University of Mashhad, Iran in Computer Science and Software Engineering. Yaser has experience in data management across the well-known cloud-based storage services. Yaser designed offline and online algorithms to replicate data across data storage as well as within tiered cloud storage services to reduce monetary cost while the required response time for users is satisfied. His research interests cover the broad area of Distributed Systems, with special emphasis on data replication and management in cloud storage. Specifically, he is interested in investigating different technologies of cloud storage and designing algorithms to provide provision for big data. Yaser published several Journal and Conference papers in these areas with rank A and A* according to CORE ranking portal.

Competencies: Cloud-based storage services, Cloud Computing, Fog Computing, Algorithm designe.

Dr. Sheik Mohammad Mostakim Fattah is a postdoctoral researcher at the Centre for Research on Engineering Software Technologies (CREST), School of Computer Science, University of Adelaide. He completed his Ph.D. in 2021 from the School of Computer Science, University of Sydney. His Ph.D. thesis focused on Long-term IaaS Cloud Service Selection. He has published research papers in several top journals and conferences such as IEEE TSC, ACM TWEB, ICSOC, IEEE ICWS, IEEE SCC, and WISE. He also served as a reviewer in several conferences and journals, including IEEE ICWS, ICSOC, IEEE TKDE, IEEE TSC, and ACM TOIT. Before starting his Ph.D., he was an assistant researcher at Korea Electronics Technology Institute (KETI). He worked on developing several IoT-based platforms for several European and Korean research projects. He completed his master's in February 2016 in Computer and Information Communication Engineering at Hankuk University of Foreign Studies, South Korea. He also worked as a research assistant in Advance Networking Lab at the same university. He completed his bachelor's degree in Computer science and Engineering from the University of Dhaka, Bangladesh. He has been awarded several scholarships, such as the School of Computer Science Research Students Excellent Prize, Research Training Program Stipend, and Faculty of Engineering Completion Scholarships.

Xiaoyu Xia is a researcher at of Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide. He received his Master degree from The University of Melbourne, Australia and his PhD degree from Deakin University, Australia. During his PhD, he mainly focused on data caching and data distribution in edge computing. His current research interests include edge computing, parallel and distributed computing, cloud computing and service computing.

Guanhua Wang is a PhD student under the supervision of Dr. Mingyu Guo and Prof. Ali Babar. His research is on applying deep learning technique to market design, and its application to cybersecurity domains (e.g., bug bounty systems).

Competencies: Deep Learning, Mechanism Design

Bakheet Aljedaani is a PhD student in the Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide. His current research focus is on the security of mobile health applications, particularly assessing the security perception for the end-users, as well as investigating the process of developing secure apps. His research is mainly conducted empirically (e.g., interviews and surveys) and analysing quantitive and qualitative data. The key areas of his research are human aspects of developing secure mobile health applications, security and privacy of mobile health applications, and end-users’ security requirements for mobile health applications. Bakheet worked as a lecturer at Umm Alqura University, Saudi Arabia before joining CREST. He obtained a bachelor degree in Computer Science from King Abdulaziz University, Saudi Arabia and a Master’s degree in Information Security from Lewis University, USA in 2008 and 2011 respectively.

Competencies: Human factor. Mobile health applications. Security and privacy. Security requirements. Empirical research. Quantitative and qualitative analysis.

I am Mubin Ul Haque, from a very beautiful riverine country Bangladesh. I have completed my M.S. and B. Sc. in Computer Science and Engineering from the Department of Computer Science and Engineering, University of Dhaka, Bangladesh. Currently, I am a PhD student under the supervision of Professor Dr. Muhammad Ali Babar, where my researches foucus on “Automation Platform for Clouds (containers) Security Configuration and Compliance across a cloud-based lifecycle”. Before joining here, I was working as a Lecturer (study leave at present) in the Department of Computer Science and Engineering, University of Dhaka, Bangladesh. I also served as a Lecturer in Ahsanullah University of Science and Technology (AUST) prior joining University of Dhaka, Bangladesh. My research interest lies in cyber security, machine learning, software security, reconfigurable and reversible computing.

Competencies: Application of Machine Learning and Natural Language Processing for Qualitative and Quantitative data analysis in Open Source Repositories (GutHub), Question/Answering Platforms (Stack Overflow, Docker Forum) and Container Image Repositories (Docker Hub), Evaluating Container Configuration Data to predict Vulnerabilities.

Hussain is a PhD student at the School of Computer Science, University of Adelaide where he has also served as a Research Engineer for almost a year. He is currently working on the cybersecurity of the Command, Control, Communication, and Intelligence (C3I) Systems under the supervision of Professor Ali Babar and Dr Faheem Ullah. With the aim of providing Information Superiority and Operational Efficacy, his research focuses on the development of effective countervailing solutions for the potential attack vectors that could deteriorate the security characteristics of C3I systems. Hussain is also enthusiastic about Machine Learning, Robotics and Data Security. He holds a bachelor degree in Electronic Engineering from GIK Institute, Pakistan.

Competencies: Cyber Security, Security/Vulnerability Analytics, Risk Assessment, Cyber Impact Analytics, Network Security

TBD

Fengyi (Frances) Yang is a research assistant of the Centre for Research on Engineering Software Technology (CREST). Frances has had experience in fields of machine learning, data mining, control and robotics. Frances’ Honours Project is on Adversarial Machine Learning in Network Intrusion Detection. Frances’ research interest is in machine learning and natural language processing. The current research project Frances is working on is Defence against Adversarial Machine Learning in Sentiment Classification.

Competencies: Machine learning, adversarial machine learning.

I am currently pursuing a Master of Computer Science degree at the University of Adelaide. Before that, I worked as a Software Engineer at Ford Motor Company for four years, where I performed activities related to design, development, integration, and testing of complex Information Systems using Agile methodology. My interest lies in analyzing and solving complex problems in the field of Software Engineering and Cyber Security.

Hien Le is a final year Master of Data Science student at the University of Adelaide. Hien obtained her bachelor’s degree in Accounting and Finance at the University of Melbourne. Hien received both scholarships on entry for her academic merit and was awarded Executive Dean’s Recognition of Academic Excellence by the University of Adelaide. Hien is currently working on a research project regarding automated cyber threat analysis module under the supervision of Professor Ali Babar and Dr. Chadni Islam. The research seeks to predict security incident and estimate financial impact of cyber-attacks on organisations from threat intelligence data by utilising Machine Learning and Artificial Intelligence techniques. Hien is enthusiastic about opportunities that allow her to combine both interests in data science and finance.

Minhaj Ahmed is a second year Bachelor of Computer Science (Advanced) student at The University of Adelaide. Minhaj has received a scholarship on his admission at The University of Adelaide based on academic merit. His fascination towards research has propelled Minhaj to get involved in project works, and he is working on a project which focuses on studying an existing incident response plan associated with a security attack and identifying the key features of the incident response process. The research is being supervised by Professor M. Ali Babar and Dr. Chadni Islam. The involvement of Artificial Intelligence and Cybersecurity in the topic attracted the interest of Minhaj, and he is excited to leverage on the opportunity to explore techniques related to natural language processing and data analytics.