Digital Technologies and Interoperability

Umar Memon

PhD Title: Open Analytics Interoperability

Umar’s research interest is in the field of Open Analytics Interoperability and he aims to develop novel methods and models for describing, defining, and reasoning about analytics capabilities, leading to an open specification for industry adoption.

Umar graduated from Asian Institute of Technology, Bangkok with a Master’s degree in Information Management. He has 5 years of academic and 10 years of industry experience in Data Analysis, Reporting, ETL, and Data Warehouse Development. He has worked in the healthcare, financial, education as well as the manufacturing industry and has extensive knowledge and experience in interpreting data and producing analytical reports and dashboards.

Yuhong Fu

PhD Title: Digital Technologies and Interoperability

Yuhong Fu’s research work is focussed on developing new data management methods for the establishment of interoperable analytics in industrial data ecosystems in the oil, gas and energy industry. It will develop models and methods for reasoning about analytics capabilities in industrial plants for the energy and other sectors. In his work, his target is to develop a semantic enrichment approach for existing data model standards such as CCOM and the required metamodelling technology for effective code-free implementation.

Yuhong Fu is a graduate from the University of South Australia with a Master degree in Information Technology.

Razeen Hashmi

PhD Title: Design and Development of the Digital Twin for Improving Safety and Efficiency of the Renewable Energy Plant of the Future

Razeen Hashmi’s research focusses on designing and developing Digital Twin for renewable energy plant through Realtime data collection and optimisation to assist plant operation management. As the worldwide hydrogen production is expected to expand over the next five years, the risk associated with its production and handling may increase if new solutions are not implemented. Therefore, having a Digital Twin for hydrogen plant will provide real-time insight and maximise Renewable Energy plant processes and efficiency.

Razeen graduated from Melbourne Institute of Technology, Melbourne with a Master’s degree in Telecommunications Engineering. Razeen is currently a PhD student at Swinburne University of Technology.

Johann Visser

PhD Title: Digital Transformation for the New-Energy Sector: Workforce readiness to acquire new skills.

Johann Visser’s research focuses on analyzing the factors driving workforce change-readiness to acquire new digital skills for Australian energy companies entering the New-Energy Sector. Digital innovations are increasingly pervasive across industries, including energy, necessitating effective utilization of digital technologies to achieve efficiencies throughout the value chain.

Johann aims to assess the current digital skills within an existing Energy Operator’s workforce and correlate these skills with their preparedness to acquire additional skills relevant to the New-Energy context. Examples of these emerging skills include AI/ML, Big Data, Internet of Things (IoT), and Digital Analytics.

Johann holds a degree in Chemical Engineering from The University of Pretoria and a Master’s degree in Business Leadership.

Jutiporn On-nkam

PhD Title: Ontological Enrichment of Data Standards for Digital Twin Management

Jutiporn’s project concerns ontology enrichment for data standards in digital twins management. Jutiporn’s is driven by a passion for computers and technology and a curiosity about how AI can change the world.

Jutiporn completed a bachelor’s degree in computer science from Thammasat University in Thailand, as well as a Master’s degree from a university in Taiwan. Jutiporn has professional experience with data and AI, and experience working in the related technology, cryptocurrency, and energy industries.

Siripond Mullanu

PhD Title: Artificial Intelligence and Advanced Data Analytics Framework for Hydrogen-enabled Intergraded Energy Systems

Siripond is undertaking a PhD at Swinburne University, Melbourne, Australia, where she also completed her Master of Information Technology. Her research focuses on developing a framework with broad applications, including the integration of AI and hydrogen, to promote sustainable transportation. Siripond worked as a software engineer for around four years and has an extensive background in information technology, particularly web application development and data management. She is also interested in machine learning and artificial intelligence technologies.

Waqar Khan

PhD Title: Contextualised Digital Twin Platform for Sustainable and Resilient Renewable Energy Plants

Waqar Ali Khan’s research focuses on developing a Digital Twin platform to enhance the sustainability and resilience of energy systems. His work involves maximizing the integration of renewable energy, such as solar and wind, while minimizing costs and CO₂ emissions. A key aspect of his research includes exploring hydrogen as a clean energy carrier, focusing on green hydrogen production to further enhance energy security and sustainability. The Digital Twin platform simulates real-time operational scenarios using both historical and real-time data to improve the performance of energy systems. Waqar also explores how environmental factors and energy demand trends can be incorporated to further enhance system scalability and adaptability. Through this research, he aims to contribute to the development of more sustainable and resilient energy systems of the future.

Waqar graduated from Iqra University with a Master’s degree in Telecommunication and Networks, where he received a Silver Medal, and from COMSATS Institute of Information Technology with a Bachelor’s degree in Computer Science, where he was awarded a Gold Medal. He is currently pursuing his PhD at Swinburne University of Technology.

Professor Markus Stumptner

Program 3 Lead (University of South Australia)

Markus Stumptner is Chair of Computing at UniSA where he leads the Industrial AI Research Concentration, working at the junction of AI, Software Engineering and Data Management.  He has held professorships in Austria and Australia and published over 200 peer-reviewed publications. He has extensive experience in industrial data integration and interoperability,  AI applications for decision support in configuration, design and diagnostics, as well as Natural Language Understanding Ontologies.  He is a fellow of the International Society of Engineering Asset Management (ISEAM), and has been working on industrial data and information systems standards since 2004, including in ISO TC108/SC5, ISO TC184/WG6, and IEEE.  He has been a member of the Australian Computer Society AI Steering Committee since 2001.  He is currently Co-CTO of MIMOSA, a not-for-profit industry trade association dedicated to development and adoption of open, supplier-neutral IT and IM standards for physical asset lifecycle management.

Matt Selway

FENEX CRC FOUNDATION FELLOW

Matt Selway is a Research Fellow in the Industrial AI Research Centre at the University of South Australia and lead of the Australian OIIE Interoperability Laboratory. Matt is a Computer Scientist and Software Engineer who specialises in finding the right-level of abstraction to model complex, real-world problems and implement solutions. His research has addressed knowledge capture and linking for Domain Specific (Technical) Language Understanding, process modelling, and data integration and interoperability. In addition, Matt has explored software system architectures for enabling digital ecosystems.

Over the last 5 years, Matt has contributed to interoperability and digital transformation projects in the Oil & Gas industry, working with diverse partners such as Advisian, BP, PdMA, and Yokogawa Electric. These projects have investigated standards-based interoperability in Industry 4.0 and Digital Twins using models for Asset Lifecycle Management as the means of federating disparate information sources in industrial systems via mappings between standards. His work has spanned different areas for the construction and maintenance of Digital Twins, including the representation and exchange of engineering requirements, equipment and product model information, Condition-based Maintenance data, and asset installation work.

The investigation of standards-based interoperability for industry has led to Matt’s involvement in industry specifications and standards development. In this capacity, Matt has facilitated several working groups: eliciting requirements from industry experts, subsequently developing specifications and standards, and prototyping technical aspects in software. Matt is currently a member of the Australian mirror committee for ISO/TC 184 “Automation systems and integration”, which helps give Australia a voice in current and emerging standards for industrial Digital Twins.

Karamjit Kaur

FEnEx CRC Foundation Fellow

Dr Karamjit Kaur’s expertise lies in the areas of industrial interoperability, digital twins, Industry 4.0, asset life cycle management and condition-based maintenance in the asset-intensive industries such as Oil & Gas industry.
Currently, she is an FEnEx CRC Foundation Fellow where she shares the responsibility to deliver Commonwealth milestones of FEnEx CRC within the Digital Technologies & Interoperability theme, in addition to working on other industry-driven projects funded through FEnEx CRC.
As a research fellow for the past 4 years in the Industrial AI Research Centre at UniSA, she has been actively involved in various projects related to achieving standards based interoperability in the Industry 4.0 systems and achieving digital transformation through delivery of digital twins for asset management throughout the lifecycle.
Karamjit obtained her Bachelors, Masters and PhD in Computer Science from Thapar University, India. She completed her PhD in 2015 on the topic “A Novel Framework for Querying Multi-paradigm Databases”. She has successfully supervised research thesis of 11 Masters and 2 PhD students.
In addition to research, Karamjit has been involved in teaching wide range of courses related to computers science and engineering since 2009. Currently, she is tutor, practical supervisor and course coordinator of multiple courses that are taught as part of Master of Information Technology at UniSA.
She has received various research and travel grants such as Google Global scholarship for presenting her research work at GHC twice, International Travel Scheme for Young Scientist from DST, India. She was awarded best oral presentation at the Emerging Big Data Technologies Summit held in Melbourne in 2016.

Rebecca Morgan

FEnEx CRC Foundation Fellow

Dr Rebecca Morgan is a Research Fellow in the Industrial AI Research Centre at UniSA. Her expertise lies in industrial integration and interoperability and model-driven visualisation for understanding complex systems. Over the last five years, she has been involved in supporting enterprise integration and interoperability through facilitating understanding of complex, evolving systems via model-driven information visualisation. She completed her PhD in 2022 on the topic “VizDSL: A Visual Domain Specific Language for Modelling Visualisation Processes”. Her PhD research was heavily based on industrial requirements identified through collaboration between Industrial AI and the OIIE.

During her subsequent employment as a postdoctoral research fellow in Industrial AI, she has been heavily involved in the design, development and testing of a model-based, goal-driven framework for self-adaptive systems in collaboration with the DST Group and the University of Wollongong.

Rebecca has made significant contributions to the state of the art in her research area through the publication of several high-quality conference papers in the fields of information systems engineering, conceptual modelling and distributed computing. The publication “A Model-Driven Approach for Visualisation Processes using VizDSL” received the award for Best Student Paper at APCCM 2019. She has also received the DAIRNet Women in AI scholarship to attend the inaugural ADSTAR Summit in 2022.