جست‌وجوی استاد و پژوهشگر

Basem Suleimanمشاهده پروفایل

مدرس ارشد

• AI-driven Software Services
• Applied Artificial Intelligence (GenAI/LLM, Machine Learning)
• Education Technologies (Personalized Learning)
• +۴ مورد دیگر

Dr. Basem Suleiman is an Adjunct Senior Lecturer in Advanced Computing at the University of Sydney and Deputy Director of the Software Engineering Program at UNSW Sydney. He holds a Ph.D. in Computer Science from UNSW (2012) and has over a decade of experience in academia and industry, including roles at SAP, CSIRO’s Data61, and leading universities. Education: Ph.D. in Computer Science, UNSW Sydney (2012) Graduate Certificate in Research Commercialization & Management, UNSW Sydney Master of Computing (Software Engineering), Western Sydney University Research Interests: AI-driven Software Services: Federated Learning, Recommender Systems, Human-Machine Interaction Applied AI: GenAI/LLMs, Machine Learning, Deep Learning for FinTech, Healthcare, and Education Cloud Computing: Elasticity, Workload Management, Privacy-Preserving Techniques Key Contributions: Developed AI models for structural health monitoring, personalized learning systems, and anomaly detection Secured research grants and published 80+ papers in venues like ACM Transactions, IEEE Conferences, and IJCAI Supervised 15+ PhD/MPhil students and led industry partnerships with SAP, CSIRO, and global tech firms Awards & Recognition: Runner-up Best Paper Award (2023) Dean’s Commendation for Teaching Excellence Invited Keynote Speaker (2022 ICoSEIT) Engagement: Leads industry collaborations as UNSW’s Industry Capstone Liaison Officer, fostering partnerships for student projects and curriculum innovation.

• Sound Composition
• Digital Music Media
• Visual Music
• +۷ مورد دیگر

Dr. Ivan Zavada is a Senior Lecturer and Program Leader in Composition & Music Technology at the Sydney Conservatorium of Music, part of the University of Sydney. His work focuses on the intersection of sound, visuals, and technology, with specialties in electroacoustic music, digital media, and environmental sustainability. He holds a MMus in Electroacoustic Composition from the Université de Montréal and a PhD from the University of Sydney. Education: MMus (Montreal), PhD (Sydney) Research Interests: Sound composition, digital music media, visual music, cross-cultural composition, AI in music His research explores innovative approaches to sound and visual art, including immersive audiovisual performances and sustainability-themed projects like 'Sounds of Sustainability' with AMP Capital. Current projects include Southeast Asia-focused collaborations on cultural heritage and urban soundscapes. Recent grants include a New Colombo Plan mobility grant for studying underwater sounds in Southeast Asia. He advises PhD students on topics ranging from Korean traditional instruments to spectral music and temporal location in composition. Key Projects: Sounds of Sustainability, Sydney Southeast Asia Centre Collaborative Grants Publications: Over 20 works spanning journals, conferences, and composed pieces

Steve Blackburnمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Memory Management
• +۵ مورد دیگر

Steve Blackburn is a Professor of Computer Science at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on programming language implementation, garbage collection algorithms, performance analysis, and high-performance runtime systems. He leads key projects like the DaCapo benchmark suite and the MMTk memory management framework. **Education & Background**: No specific education details provided, but his career spans decades with extensive contributions to computer science research. **Research Interests**: Blackburn prioritizes garbage collection innovation, memory management optimization, and empirical performance evaluation. His work bridges theory and practice, addressing challenges in managed runtimes, just-in-time compilation, and hardware-software co-design. He emphasizes reproducible research through shared infrastructure. **Recent Article Trends**: His 2020–2025 publications emphasize low-latency garbage collection, memory management in distributed systems (e.g., Mako collector for datacenters), and novel approaches to Java/JVM performance analysis. He also explores hardware features like transactional memory and their impact on runtime systems. **Awards**: ACM Fellow (2020+). **Grants & Leadership**: Served as Associate Dean for Diversity & Inclusion in ANU’s College of Engineering and Computer Science (2014–2019). Editorial roles include ACM TOPLAS Associate Editor (2017–2020) and program chairs for top conferences like PLDI (2015) and ISMM (2008). **Labs & Projects**: Leads the MMTk and DaCapo initiatives, foundational tools for memory management and benchmarking in academia and industry.

Dianne Cookمشاهده پروفایل

استاد

• Data Science
• Data Visualization
• Exploratory Data Analysis
• +۵ مورد دیگر

Prof. Dianne Cook is a Professor of Business Analytics at Monash University's Department of Econometrics and Business Statistics, affiliated with Impact Labs. A Fellow of the American Statistical Association and Editor of the Journal of Computational and Graphical Statistics, her research focuses on data visualization, exploratory data analysis, and statistical graphics. Her work bridges statistical inference and visualization, leveraging crowd-sourcing and eye-tracking to validate visual discoveries. Major contributions include software tools like ggobi and cranvas, and methodologies like the 'tour' for high-dimensional data exploration. Current projects include spatio-temporal bushfire visualization and Melbourne pedestrian data analysis. Key collaborations span physics data visualization and multidimensional analysis. Awards include ASA Fellowship. Projects include Accessibility Enhancements for the R Journal and Multivariate Spatio-Temporal Visualization for bushfire risk. Teaching and advising emphasize open-source software and reproducible research. She leads RiskLab projects on econometrics and explores applications in climate change, education, and health. Her work contributes to UN SDGs like Sustainable Cities (Goal 11) and Quality Education (Goal 4).

• Cyber Security
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Hussain Ahmad is an Assistant Professor (Lecturer) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on Cyber Security, Software Engineering, and Generative AI, with a particular emphasis on industry-driven innovation and real-world applications. He collaborates with prestigious institutions such as the Department of State Development South Australia, Defence Science and Technology Group Australia, and Cisco. Dr. Ahmad completed his PhD at the University of Adelaide, where he explored enhancing C2 network security, software vulnerability management, and scalable microservice architectures. He has led over 15 R&D projects, resulting in 12 peer-reviewed publications in top-tier venues like CORE A* and A-ranked conferences. His teaching philosophy integrates industry relevance, continuous feedback, and cutting-edge content, ensuring students gain practical skills aligned with modern IT demands. He advises students on research projects and maintains a strong focus on cloud-native systems, self-adaptive frameworks, and AI applications. Key contributions include frameworks like Smart HPA for resource-efficient auto-scaling and Co-Evolutionary Defence for Active Directory systems. His work bridges academia and industry, addressing challenges in cyber situational awareness, DevOps practices, and large-scale system resilience.

• Software Engineering
• Cybersecurity
• Microservices Architecture
• +۴ مورد دیگر

Colin Fidge is a Professor in the Department of Computer Science at Queensland University of Technology (QUT), Australia. His research focuses on software engineering, cybersecurity, and distributed systems, with emphasis on microservices architecture, industrial control systems, and IoT applications. He collaborates extensively with institutions like QUT's School of Electrical Engineering and Computer Science, contributing to projects in smart cities, fog computing, and blockchain-based manufacturing security. Key research interests include reengineering legacy systems into microservices, anomaly detection in industrial networks, and secure communication protocols for UAVs. He has published widely in top journals like IEEE Transactions and Information and Software Technology. His work spans theoretical contributions (e.g., Petri net models for anomaly detection) and applied solutions (e.g., fog/IoT framework optimizations). Notable publications address challenges in edge computing, data distribution for large-scale systems, and cybersecurity for critical infrastructure. He has co-authored over 161 papers and contributed to books on secure manufacturing and asset management.

Iain Parnumمشاهده پروفایل

پژوهشگر ارشد

• Marine Acoustics
• Seafloor Mapping
• Acoustic Remote Sensing
• +۵ مورد دیگر

Dr. Iain Parnum is an Adjunct Research Fellow at Curtin University’s School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His primary research focuses on acoustic remote sensing of marine environments, including seafloor mapping, water column analysis, and marine mammal detection. He is actively involved in developing acoustic technologies for habitat characterization and has contributed to projects like the AUSSEABED national seabed mapping initiative. Research Interests: Seafloor mapping using multibeam, sidescan, and single-beam sonar systems Acoustic data processing and software development Marine mammal monitoring via passive and active acoustic techniques Seagrass and sediment property analysis through acoustic backscatter Underwater photogrammetry and novel imaging device workflows Publications Trends: His recent work emphasizes fish chorus acoustics, beaked whale presence detection, and the integration of acoustic methods with environmental variables. Key contributions include advancing underwater noise monitoring tools and improving seabed classification techniques. Affiliations: Chair of the WA Division of the Australian Acoustical Society; Federal Councillor of the Australian Acoustical Society. Technical Contributions: Developed open-source data-logging devices and calibration frameworks for marine surveys. Collaborated on projects like the Perth Canyon soundscape analysis and coral reef evolution studies in the Kimberley region.

Graeme Smithمشاهده پروفایل

دانشیار

• Formal Methods
• Software Engineering
• Concurrent Systems
• +۴ مورد دیگر

Associate Professor Graeme Smith is a faculty member at the School of Electrical Engineering and Computer Science, The University of Queensland. He leads research in formal methods, focusing on the design and analysis of software systems with applications in telecommunications, railways, and defense sectors. His work includes formal object-oriented modeling, real-time embedded systems, and concurrency. He has held academic positions at institutions in Australia, Germany, and France. Currently, he leads a research cell under the Defence Science and Technology Group, addressing formal security analysis of concurrent code. Education: Bachelor (Honours) of Engineering, The University of Queensland Doctor of Philosophy, The University of Queensland Research Interests: Formal methods for functional correctness and security of concurrent programs, including refinement techniques, information flow security, and distributed systems like multi-agent systems. His work emphasizes weak memory models, hardware-software interaction, and formal verification. Articles Trends: Recent publications emphasize formal verification of concurrent systems, weak memory models, and security protocols. Key areas include compositional reasoning, vulnerability detection, and applications in ARM/POWER architectures. Grants & Funding: ARC Discovery Grants on fault-tolerant systems, distributed autonomous systems, and lock-free algorithms Defence Science and Technology Group collaboration on formal security analysis Labs/Teams: Leads a Defence-funded research cell focusing on formal security analysis of concurrent code.

Tan Chee Keongمشاهده پروفایل

مدرس ارشد

• Software-defined networks
• Beyond 5G networks
• Indoor positioning systems
• +۸ مورد دیگر

Dr. Tan Chee Keong is a Senior Lecturer at the School of Information Technology, Monash University, Malaysia. He holds a PhD in Information and Communication Technology from Multimedia University (2014). His expertise lies in network system design, with a focus on software-defined networks, beyond 5G networks, indoor positioning systems, game theory, machine learning, and data science. He has secured over RM 800K in research grants as a principal or co-investigator and contributed to over 10 international journal papers. Notably, he received the Best Teaching Award from Multimedia University in 2016. Research activities include projects funded by government and industry, such as AI-Driven Energy Management for Smart Cities and IoT-based energy monitoring systems. His work addresses challenges in network efficiency, indoor positioning, and smart city technologies. Dr. Tan has collaborated on projects involving UAV swarming intelligence, reinforcement learning, and autonomous systems. Education: B.Eng (Hons) in Electronics (Telecommunication), Multimedia University, 2006 M.Eng.Sc (Information and Communication Technology), Multimedia University, 2009 Ph.D (Information and Communication Technology), Multimedia University, 2014 Research Interests: Optimizing wireless networks and protocols Indoor positioning and trajectory tracking Game theory applications in network resource management Machine learning for signal processing and localization Recent publications (2023–2025) emphasize AI-driven solutions for energy efficiency, path planning in disaster environments, and blockchain-based logistics optimization. These reflect a trend towards integrating AI/ML with traditional networking challenges. Awards: Best Teaching Award, Multimedia University (2016) Grants & Projects: AI-Enabled Energy Management (RM 800K+) IoT-Based Energy Monitoring (2022–2025) Smart City IoT Applications He plays a key role in industry-academia collaborations, particularly in Malaysia’s tech sector. His labs focus on developing practical solutions for smart city infrastructure and next-generation communication systems.

• Structural Mechanics
• Finite Element Analysis
• Computational Mechanics
• +۷ مورد دیگر

Ali Saleh is an Adjunct Associate Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a PhD from RWTH Aachen University, he specializes in structural mechanics, finite element analysis, and cold-formed steel systems. Dr.-Ing, RWTH Aachen University (1982) Dipl.-Ing, RWTH Aachen University (1978) His research focuses on: Composite flooring systems integrating cold-formed steel and timber Seismic performance of industrial racking structures Slender high-rise building stability Advanced global-local finite element analysis Cable-stayed bridge failure modes Key trends in his 15 most recent publications include composite systems optimization (2018-2022), connection behavior in steel structures (2013-2019), and educational innovations (2008-2011). His work has been cited over 150 times, with high-impact studies on vibration behavior and shear connector performance. As a supervisor, he has guided PhD student Ahmad Firouzianhaji (2012-2015) He has held leadership roles including Deputy Head of School (2015-2017) and contributed to 14 funded industry collaborations with Dexion (Australia) Pty Ltd since 2003. His work bridges academic research with practical applications in structural engineering.

• Cybersecurity
• Blockchain
• Distributed Systems
• +۲ مورد دیگر

Sheng Wen is a Professor at Swinburne University of Technology's School of Science, Computing and Emerging Technologies, where he serves as Director of the Blockchain Innovation Lab and Deputy Director of the Swinburne Cybersecurity Lab. His research spans cybersecurity, blockchain, and distributed systems, with over $7 million in research funding from ARC and industry partners. He leads a team focused on vulnerability detection, AI security, and privacy-preserving technologies. Research interests include adversarial machine learning, blockchain consensus security, IoT device vulnerabilities, and federated learning applications. His publications consistently address emerging threats in AI systems and cross-chain blockchain security. Awards include the 2021 SCET Research Excellence Award and the 2015 Scientists Meet Senators recognition. Grants support projects in optimized energy management, railway signaling verification, and healthcare AI security. Supervision includes 36 PhD students working on blockchain applications, fuzzing tools, and cybersecurity AI. His lab collaborates with CSIRO and industry partners on critical infrastructure protection.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۴ مورد دیگر

Professor Mohamed Abdelrazek is a Professor of Software Engineering and Research Professor at the Applied Artificial Intelligence Institute (A2I2) within Deakin University. He holds a PhD in Cloud Computing Security from Swinburne University of Technology and a Graduate Certificate in Higher Education Learning & Teaching from Deakin University. His research focuses on robust AI/ML systems, including GenAI and RL approaches, with emphasis on automated software engineering, cybersecurity, distributed systems, and data science. Education: PhD in Cloud Computing Security (Swinburne University of Technology), Graduate Certificate in Higher Ed Learning & Teaching (Deakin University). Research Interests: AI/ML systems, software security, empirical software engineering, data analytics, and human-centered computing. His work spans over 20 years of industry and academic experience, including roles as a senior research fellow and software development manager. He has secured grants totaling millions of AUD from agencies like CSIRO, the Department of Defence, and Telethon Kids Institute, focusing on AI-driven solutions in healthcare, cybersecurity, and robotics. Professor Abdelrazek supervises numerous doctoral and master’s students in topics ranging from robust ML systems to mHealth applications. His recent publications address challenges in AI ethics, cybersecurity, and healthcare technology, emphasizing practical, real-world applications. Key Contributions: Frameworks like 6DVF for mHealth visualization, blockchain service platforms, and reinforcement learning-based cyber-attack simulation tools.

• Financial Technology (FinTech)
• Blockchain and Distributed Ledger Technology
• Artificial Intelligence in Business
• +۱۲ مورد دیگر

Daniel (Danny) Gozman is an Associate Professor at the University of Sydney Business School and an Honorary Fellow at Henley Business School, University of Reading. He holds a PhD from the London School of Economics and is a Research Fellow at UCL's Centre for Blockchain Technologies. His academic profile includes multiple institutional affiliations including the Sydney Environment Institute, Sydney Southeast Asia Centre, The Net Zero Institute, The University of Sydney Nano Institute, and the Brain and Mind Centre. His educational background includes BSc (Hons), MSc, PG Cert, MBCS, FHEA, and PhD. Prior to academia, he worked for Accenture and Deloitte. He serves as Senior Editor for the Journal of Information Technology and Associate Editor for the Information Systems Journal and the Journal of Electronic Commerce Research and Applications. Research Interests: Governance, Risk and Compliance (GRC), financial innovation (fintech), emerging technologies (blockchain, AI, Cloud), operational resilience, institutional change in highly regulated industries, innovation mechanisms of fintech firms, equity-based crowdfunding, data analytics in regulatory investigations, and blockchain regulation. Teaching: Data Science in Business, Finding Opportunity in Disruptive Technology, Accounting Information Systems, Enterprise Systems Management, and Business Intelligence Systems. His recent publications span cryptocurrency adoption, frugal fintech ecosystems, AI in education, banking interoperability, conservation engagement, and modular banking architecture. His research has been featured in top journals including European Journal of Information Systems, Journal of Information Technology, and Information Systems Journal. Media Engagement: Regular contributor to major media outlets including MIT Technology Review, Wall Street Journal, ABC Sydney, and SBS World News on topics ranging from digital privacy regulations to cryptocurrency and banking digital transformation. Professor Gozman has advised international law firms and analyst groups and served as an external examiner to higher education institutions. His current funded work focuses on blockchain, regulation and identity, next-generation payment infrastructures, and contested regulatory realms across financial services, energy, law, and health sectors.

• Artificial Intelligence
• Disruption Phenomena
• Collaborative Systems
• +۴ مورد دیگر

Kai Riemer is a Professor of Information Technology and Organisation and Director of Sydney Executive Plus at the University of Sydney. He joined the university in 2009 from Münster University (Germany), where he held an Assistant Professorship and earned his Ph.D. and Habilitation. His expertise spans Artificial Intelligence, Disruption Phenomena, and the Philosophy of Technology, with a focus on emerging technologies' societal impacts. Roles: Professor (University of Sydney), Director of Sydney Executive Plus Education: Diploma in Information Systems (Münster), Ph.D. in Management (Münster), Postdoctoral thesis (Habilitation) Affiliations: Charles Perkins Centre Member, Board Member of Journal of Information Technology and Business and Information Systems Engineering His research employs practice theoretical and non-orthodox approaches, addressing topics like generative AI, algorithmic fairness, and digital disruption. Kai consults for corporate boards and frequently presents on AI ethics, digital transformation, and social media strategies. His work appears in top journals such as MIS Quarterly and Journal of Information Technology . Key research trends include exploring AI’s societal implications, the ethical challenges of algorithmic systems, and the future of work in the digital age. His recent studies highlight the need for human-centered AI development and critical engagement with technology’s role in organizational and societal contexts. Grants & Awards: Extensive industry-funded research and ARC grants. No specific awards listed explicitly in the text. Advising & Students: Supervises research on algorithmic fairness, human-centered AI, and responsible AI management. Current advisees include Stefanie Knippschild, Bey Sheykh Alivand, and Belinda Wang. Labs/Teams: Leads Sydney Executive Plus, fostering executive education and strategic partnerships. Engaged in interdisciplinary collaborations via the Charles Perkins Centre, focusing on health-related technology challenges.

• Business Process Management
• Workflow Systems
• Cloud Computing
• +۳ مورد دیگر

Michael Adams is a Researcher at the School of Information Systems, Queensland University of Technology. His work focuses on Business Process Management (BPM), Workflow Systems, and Cloud Computing. He holds a PhD in Computer Science from QUT (2007), specializing in dynamic workflow adaptation. Adams is a core contributor to the YAWL open-source workflow management system, which he has advanced through research on scalability, blockchain integration, and cloud deployment. His research spans over two decades, with notable contributions to workflow exception handling, robotic process automation (RPA), and federated architectures for distributed systems. He has collaborated internationally, publishing in top journals like Knowledge and Information Systems and Computers in Industry . His recent work explores blockchain applications in publishing and healthcare, emphasizing practical solutions for industry challenges. Adams has co-edited influential books on BPM automation and contributed to standards for process mining and organizational modeling.