I am a software engineering researcher and practitioner. I am currently affiliated with The University of Adelaide, Australia. Previously, I have worked as a postdoctoral (PostDoc) researcher at IT University of Copenhagen (ITU) and Technical University of Denmark (DTU). I hold a PhD degree in Computer Science from IT University of Copenhagen. My research focuses on architecture of software systems for cloud computing environments, Internet of Things (IoT), Confidentiality-Integrity-Availability (CIA) of the Cloud-based Systems, evolution of traditional software system into software as a service (SaaS) model and how cloud computing paradigm can help to address the challenges related to Global Software Development (GSD). I hold a master (MS) and a bachelor (BS) degrees in Computer Science. I have also been involved in software development activities in globally distributed environments. I have several years of industrial experience (in Denmark and other countries) of working on financial applications; targeting solutions for prepaid debit cards, unemployment funds and banking sector using .Net and JavaEE technologies.

Competencies: Distributed autonomous systems architecture and security, Cloud Computing and Software as a Service, Cloud Security, Software Reference Architectures, Requirements Engineering for Cloud and Distributed Systems.

Victor Prokhorenko is a researcher with the Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide working on projects funded by DST and Data61. Victor has more than 14 years of experience in software engineering while evaluating and recommending emerging computing and storage technologies for mission-critical systems for the Defence industry. Victor‘s main areas of expertise include investigation of technologies related to software resilience, trust management and big data solutions hosted within OpenStack private cloud platform. Victor has deep knowledge and extensive experience with cloud computing tools such as Chef and Terraform to provision machines within the cloud in a predictable and reproducible manner. Taking automation further than low-level virtual machine preparation, Victor has also worked on the application deployment and performance benchmarking phases. Victor has obtained a PhD in Computer Science from the University of South Australia.

Competencies: Software Security, energy efficiency, trust management, software resilience, network security, virtualization, OpenStack, hybrid cloud.

Triet Huynh Minh Le (Lê Huỳnh Minh Triết) is currently a researcher at the Centre for Research on Engineering Software Technologies, the University of Adelaide. He obtained his first-class honours bachelor degree in Computer Science as a valedictorian from the International University – Vietnam National University, Ho Chi Minh City. His research interests include but are not limited to data mining and machine learning as well as their interdisciplinary applications. In his undergraduate study, Triet utilized machine learning to predict some challenging chemical properties. His PhD will expand his research works to explore how machine learning can perform security vulnerability analytics and prediction for software systems using open-source data (e.g., NVD/CVE/CWE, GitHub and Stack Overflow).

Competencies: Security/Vulnerability analytics, Mining software repositories, Software maintenance, Machine learning, Data mining, Natural Language Processing

Limeng Zhang is a postdoctoral researcher in Centre for Research on Engineering Software Technologies (CREST) at the University of Adelaide. She completed her Ph.D. in 2023 from Swinburne University of Technology in Australia. Her Ph.D. thesis focused on transaction confirmation analysis in the Bitcoin blockchain. Prior to that, she obtained her master's degree in Computer Applied Technology from The University of Chinese Academy of Sciences in China, and her bachelor's degree in Software Engineering from Sichuan University, China. During that period, she worked on recommender system and machine learning. Her current research interests include blockchain, supply chain, big data analytics, and data mining.

Competencies: Blockchain, Data mining, Big Data Analytics, Recommender system

I am a researcher at the University of Adelaide and a member of the Centre for Research on Engineering Software Technology. I got a Ph.D. from the Software Engineering Lab (SELab) at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Doo-Hwan Bae. I have a few experiences in leading research projects to analyze the reliability or safety of complex systems, such as platooning vehicles, swarming drones, and edge cloud-based systems. In addition, I have wide research experiences ranging from surveying, development, experimental dataset generation, and empirical analysis for complex systems.

Competencies: Automated testing and analysis of large-scale complex systems, such as System-of-Systems (SoS) and Cyber-Physical Systems (CPS), focusing on statistical verification, automated debugging, and AI for SE methods.