جست‌وجوی استاد و پژوهشگر

• Information Systems
• Business and Management
• Communications Technologies
• +۵ مورد دیگر

Dr. Martin Dick - Senior Lecturer Dr. Martin Dick is a Senior Lecturer in the Department of Accounting, Info Sys & Supply Chain at RMIT University's City Campus, Australia. His academic expertise spans Information Systems, Business Management, and Technology Adoption, with a focus on consumer behavior in digital ecosystems, cloud computing security, and trust mechanisms in mobile payment systems. He has served as a peer reviewer for the Australasian Computing Education Conference (2003-2006) and actively supervises Masters and PhD research projects in areas such as platform business models, persuasive system design, and blockchain networks. Research Interests: Dr. Dick’s research explores the intersection of technology and human behavior, including: Trust dynamics in digital payment systems Cloud computing accountability frameworks E-commerce adoption and consumer loyalty Information security governance Technology ethics in education Teaching & Supervision: He coordinates courses on software engineering, usability metrics, and IT project management. His supervision projects include investigations into platform economies, wearable technology motivation, and post-adoption consequences of cloud ERP systems. Industry Engagement: Dr. Dick has advised on software development methodologies and contributed to studies on cheating in IT education, advocating for curricula addressing ethical practices.

Golnoush Abaeiمشاهده پروفایل

مدرس

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Golnoush Abaei is a Lecturer in Industry Practice at RMIT University's School of Computing Technologies. She holds dual roles as Professional Practice Lead (since 2022) and Program Manager for the Bachelor of Software Engineering (since 2023). Her expertise bridges academia and industry, focusing on software engineering, machine learning, and data analytics. She coordinates the Software Testing Course and supervises capstone projects for software engineering undergraduates and IT postgraduates. Research interests include software quality, INS/GPS navigation systems, health-related recognition applications, and blockchain. Notable projects involve AI-powered digital lecturer twins for education and machine learning-driven visual defect detection in software interfaces. Teaching methodologies emphasize collaborative active learning (CAL), problem-based learning (PBL), and curriculum design innovation. She actively supports student internships and graduate job placements through industry partnerships. Over 25 peer-reviewed articles span topics like anomaly detection in IoT networks, medical image processing, and hybrid optimization algorithms. Key Projects: Machine Learning for Testing, AI in Education, BDD Test Automation Grants/Industry Collaboration: Multiple industry-sourced capstone projects Curriculum Development: PBL integration, CAL frameworks, and active learning strategies

Arthur Adamopoulosمشاهده پروفایل

مدرس

• Blockchain
• Web3
• Cryptocurrencies
• +۶ مورد دیگر

Arthur Adamopoulos is a Lecturer at RMIT University, based at the City Campus in the School of Accounting, Information Systems and Supply Chain, within the Department of Information Systems and Business Analytics (DISBA). With over 30 years of teaching experience, his expertise spans Information Systems, Blockchain, and Web3 technologies, which he has specialized in since 2013. He pioneered and developed four blockchain-focused courses at RMIT. His research interests include Blockchain, Web3, Cryptocurrencies, Intelligent Warehouses, the Metaverse, Information Behavior, and Online Investing. He has published in high-impact journals and successfully supervised six PhD candidates to completion. His teaching portfolio includes coordinating courses such as ISYS3408 - Blockchain for Business and INTE2572 - Blockchain Strategy. Previously, he taught networking, IT infrastructure, database systems, and programming courses. Arthur’s research projects address critical areas like blockchain adoption in supply chains, warehouse management optimization, and the impact of technology on accounting professions. Notable research outputs include studies on blockchain traceability in sustainable food supply chains, knowledge management in blockchain implementations, and intelligent agent frameworks for warehouse systems. His work often intersects technology adoption, decision support systems, and organizational transformation. Arthur is open to supervising PhD and Masters students in his research areas.

• Computer Architecture
• Microelectronics
• Nanoscale Technology
• +۹ مورد دیگر

Dr. Paul Beckett is an Honorary Associate Professor in the School of Engineering at RMIT University. His research focuses on cutting-edge areas such as computer architecture, nanoscale microelectronics, digital logic design, and photonics. He specializes in low-power circuit design, FPGA-based systems, and sensor technologies with applications in healthcare and environmental monitoring. Beckett's teaching interests include embedded systems, VLSI design, and hardware description languages (VHDL). His research spans disciplines such as electronics, communications engineering, and distributed computing, with notable contributions to null convention logic (NCL) circuits, plasmonic sensors, and spectral imaging systems. He has collaborated on innovative projects like the TIARA apnea monitoring system and wearable health technologies. His recent work emphasizes interdisciplinary applications, including healthcare technology and biomimetic optical systems. Notable publications include advancements in gas sensing (H2S detection), THz spectrum analysis, and machine learning optimization for embedded systems. Beckett actively supervises research projects in asynchronous computing architectures and nanotechnology.

• Electronics, sensors and digital hardware
• Nanotechnology
• Electrical engineering
• +۷ مورد دیگر

Dr. Nam Ha is an Associate Professor in the School of Engineering at RMIT University. His research focuses on Electronics, sensors, nanotechnology, electrical engineering, environmental management, distributed computing, and materials engineering. He has contributed to numerous high-impact publications in optimization, logistics, and algorithm design. His work spans theoretical advancements and practical applications, including stochastic optimization and supply chain management. Dr. Ha's research also involves collaborations in computational physics and music technology, showcasing interdisciplinary interests. His email is nam.ha@rmit.edu.au, and he holds an ORCID: 0000-0001-9571-5348. Recent articles highlight contributions to optimization in chemical tanker logistics, ant colony algorithms for convoy problems, and stochastic methods in event generator tuning. His work often bridges theoretical models and real-world applications, emphasizing efficient algorithms and robust solutions.

Rick Franichمشاهده پروفایل

استاد

• Medical Physics
• Radiotherapy
• Radiation Dosimetry
• +۵ مورد دیگر

Professor Rick Franich is a faculty member in the School of Science at RMIT University, specializing in Medical Physics and Radiotherapy. His research focuses on radiation dosimetry, radiation transport modeling, and applications in healthcare. He has collaborated with institutions like Peter MacCallum Cancer Centre and the Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) on projects addressing radiation delivery accuracy, beam characterization, and in vivo dose assessment. Education: Details not explicitly provided in the text. Affiliations: RMIT University, RMIT Institute for Sustainable Health and Well-Being, IAEA advisory group. His research interests include dosimetric modeling in radiotherapy, Monte Carlo simulations for radiation transport, and ion beam analysis. He has secured grants such as the 2007 RMIT Emerging Researcher Grant and received teaching awards including the 1999 RMIT Physics Students Association Lecturer of the Year Award. Teaching roles include coordinating the Master of Applied Science (Medical and Health Physics) and courses in Medical Imaging Physics and Radiation Protection. He supervises PhD and Master’s students on projects related to radiation shielding, brachytherapy verification, and adaptive radiotherapy. Notable consultancy includes advising the International Atomic Energy Agency (IAEA) on improving heavy ion beam analytical techniques. His work spans clinical applications like proton therapy verification and space radiation modeling for astronaut safety. Scientific awards include recognition for teaching excellence and research contributions. His lab and team focus on advancing medical physics through interdisciplinary collaborations in oncology, radiation safety, and technology integration.

• System Identification
• Stochastic Signal Processing
• Dynamic System Modelling
• +۴ مورد دیگر

Professor Brett Ninness is a faculty member at the University of Newcastle, Australia, holding the position of Professor in the School of Electrical Engineering and Computing. He has served in various administrative roles, including Assistant Dean (Research Training), Deputy Head of Faculty, and Acting Pro Vice Chancellor. His research focuses on dynamic system modeling, system identification, stochastic signal processing, and wireless communications. He has authored over 100 papers and held editorial roles in journals like Automatica and IEEE Transactions on Automatic Control. Education: Brett Ninness earned his BE, ME, and PhD in Electrical Engineering from the University of Newcastle. His teaching spans systems theory, signal processing, digital systems, and communications. Research Interests: He specializes in system identification, noise-robust signal processing, and applications in wireless communications. His work includes developing algorithms for state estimation, Kalman filtering, and nonlinear model identification. Recent projects involve collaborations with industry partners like Bell Labs and Agere Systems. Publications: His most recent works address smoothed state estimation, nonlinear system identification, and distributed Kalman filtering. Articles highlight advancements in stochastic processes, control systems, and Bayesian methods. Awards: Recipient of the 2001 Tall Poppy Award for outstanding scientific contribution. He is a member of editorial boards and international committees, including the IEEE Technical Committee on System Identification and IFAC. Grants & Supervision: Extensive grants in system identification and control theory. Supervised numerous PhD/Master’s students, though specific names are not listed here. Collaborations: Partnerships with institutions like Royal Institute of Technology (Sweden), Linköping University, and Vrije Universiteit Brussel. Active in global research networks through IEEE and IFAC committees.

Terrence J. Summersمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Electronics
• Renewable Energy Systems
• +۵ مورد دیگر

Associate Professor Terrence J. Summers is an academic in the School of Electrical Engineering and Computing at the University of Newcastle , Australia. He transitioned to academia after a 12-year career in the Royal Australian Air Force, earning a Bachelor of Engineering (Electrical Engineering) with First-Class Honors and University Medal , followed by a Ph.D. in Electrical Engineering (2006) from the University of Newcastle. Research Interests: Dr. Summers specializes in power electronics applied to electric machines , power systems , and renewable energy systems . His work includes multilevel converter control , photovoltaic system integration , and power quality improvement . He has collaborated with Defence , CSIRO , and mining companies , with over 100 publications. Publications & Collaboration Trends: His research spans multilevel converters , microgrids , fault mitigation , and renewable energy . Notable contributions include decentralized control for multi-phase machines and harmonic reduction in power electronics . Grants & Projects: He has secured $2,127,407 in grants, including projects for Defence Science and Technology Group (2019) and CSIRO (2017). His work addresses motor duty meter development , power transmission line impedance , and renewable integration . Teaching & Supervision: Dr. Summers teaches from introductory digital electronics to advanced power electronics , supervising numerous Ph.D. and M.Phil. students on topics like fault-tolerant control , microgrid stability , and converter optimization . Laboratories: He contributes to the Priority Research Centre for Complex Dynamic Systems and Control , focusing on power electronics and renewable energy systems .

• Internet of Things
• Industry 4.0
• Wireless Networking
• +۳ مورد دیگر

Dr. Abhik Banerjee serves as Associate Director of the Digital Innovation Lab and Senior Research Fellow in the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research investigates IoT-driven solutions for industrial problems, with expertise spanning wireless networking, Industry 4.0 implementation, and indoor positioning systems. Prior to academia, he worked as a software architect at Robert Bosch India where he designed edge-based indoor positioning platforms, and at Samsung R&D India developing networking middleware. Dr. Banerjee's research focuses on: Industrial IoT for smart manufacturing Multi-sensor systems for indoor positioning Edge intelligence for real-time decision making IoT quality assurance frameworks AI-enabled infrastructure monitoring Energy-efficient computing solutions His work addresses practical implementation challenges in industrial contexts. He leads multiple industry partnerships including projects funded by the Australian Research Council on digital twins for food processing consistency and an Australia-India collaboration on responsible AI for net zero energy transitions. Recent publications demonstrate balanced focus on IoT system optimization (40%), industrial applications (30%), AI integration (20%), and ethical frameworks (10%). Dr. Banerjee supervises doctoral research in industrial IoT and smart manufacturing systems, and contributes to advisory boards promoting ethical technology development. His future research prioritizes resilient IoT architectures for manufacturing environments and adaptive quality management frameworks.

• Artificial Intelligence
• Autonomous Multi-Agent Systems
• Collective Intelligence
• +۲ مورد دیگر

Prof. Ryszard Kowalczyk is an Adjunct Professor at Swinburne University of Technology's Faculty of Science, Engineering and Technology, specializing in artificial intelligence, autonomous multi-agent systems, and smart infrastructure. Former roles include Director of Swinburne's Intelligent Software Systems Lab and Wipro Chair of Artificial Intelligence. His research enables decision-making in cyber-physical-social ecosystems through automated negotiation, learning, and self-organization. Research interests focus on collective intelligence applications in smart cities, industry automation, and cloud-based systems. Current projects investigate hierarchical reinforcement learning, continual learning frameworks, and time-series forecasting using transformer networks. Publications demonstrate consistent innovation in distributed AI systems, healthcare NLP applications, and multi-agent optimization. Research employs game theory, meta-learning, and constraint optimization techniques. Honors include the Vice-Chancellor's Innovation Award and State Professor title from Poland. Major funded projects include Holobody (ARC 2022-2025) and Autonomic Cyber Resilience initiatives with industry partners like Wipro and CSIRO. Prof. Kowalczyk has supervised numerous PhD students in AI and systems engineering and maintains industry collaborations with organizations including DST Group, Siemens, and Australian Defence.

• Blockchain Technology
• Cybersecurity
• Software as a Service (SaaS)
• +۲ مورد دیگر

Dr Venkat Venkatachalam is a sessional academic staff member at Queensland University of Technology (QUT), with expertise spanning blockchain technology, cybersecurity, and software services for small and medium enterprises. He holds a PhD and MBA from QUT, and serves as a Senior Fellow of the Higher Education Academy. His educational background includes: PhD from Queensland University of Technology Master of Business Administration from Queensland University of Technology Dr Venkat's research focuses on the intersection of emerging technologies and business applications, particularly examining how blockchain can address digital skills gaps in SMEs, enhance security in industrial control systems, and improve suspicious activity detection. His work bridges theoretical frameworks with practical business solutions, with a strong emphasis on real-world implementation challenges. His recent publications demonstrate a clear trajectory from foundational work on Software as a Service for SMEs to cutting-edge research in blockchain applications and cybersecurity. This evolution reflects both the maturation of cloud technologies and the growing importance of security in digital transformation initiatives. Professional recognitions include: Senior Fellow of Higher Education Academy (SFHEA) Convener of Queensland Small and Medium ICT Enterprises Special Interest Group (2016-17) Member of the Association of Information Systems QALT Reviewer for the Queensland Academy of Learning and Teaching With extensive industry experience as Director of Smart Reports Pty Ltd. and in senior roles at Infosys, Covansys, and The Associates across Australia, USA, and India, Dr Venkat brings valuable practitioner insights to his academic work. His research contributes significantly to Sustainable Development Goals related to industry innovation and infrastructure.

Jusak Jusakمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Telehealthcare
• Blockchain Technology
• +۳ مورد دیگر

Dr. Jusak Jusak is a Senior Lecturer in Internet of Things (IoT) at the School of Science and Technology, James Cook University Singapore. He holds a PhD in Electrical Engineering from RMIT University and a BEng in Electrical Engineering from Brawijaya University, Indonesia. His research focuses on IoT applications in telehealthcare, blockchain for healthcare IoT, and lightweight machine learning for constrained devices. Dr. Jusak has held academic positions at Dinamika University (Surabaya, Indonesia) and Massey University (New Zealand). He has secured grants including a Cross-Campus Collaboration Grant for blockchain development and a Teaching Innovation Grant for the VetheRBlocks project. He is a Guest Editor for the Electronics journal's special issue on wireless communication security. His research interests include IoT device development for medical signal analysis, secure cloud-based healthcare systems, and hybrid-channel communication for rural healthcare. He has published over 20 peer-reviewed articles and received awards such as the ICITAS 2018 Best Paper Award and a 2022 Futuristic Technology Award for IoT-based water quality monitoring. Dr. Jusak's work emphasizes practical IoT solutions for healthcare challenges, integrating machine learning and blockchain to enhance data security and accessibility in distributed networks.

• Social Network Analysis
• Public Health
• Innovation Management
• +۵ مورد دیگر

Dr. Peng Wang is an Associate Professor of Innovation Studies at Swinburne University of Technology’s School of Business, Law and Entrepreneurship, within the Department of Management and Marketing. His research focuses on statistical models for social networks, including ERGM and ALAAM, with applications in public health, innovation management, and climate change. He developed the PNet software suite for network analysis and co-founded the Swinburne start-up SNA Toolbox to translate research into practical solutions. His work has been recognized with the Freeman Award (2022) and Robins Award (2023). Education: PhD and Postgraduate Diploma in Science from The University of Melbourne (Australia), BSc in Computer Science (University of Melbourne). Research interests include social network analysis methodologies, interdisciplinary applications of SNA, and knowledge transfer in organizational networks. He has led grants on topics like public health networks, innovation in multinational firms, and climate action strategies. Teaching emphasizes integrating research into practice through courses on SNA and industry-linked projects. Leadership roles include Associate Director of the Centre for Transformative Research and Innovation (CTI), co-leader of the Social Network Research Laboratory (SNRL), and President of ANSNA (2022). Awards include Dean’s Award for PhD Thesis (2014) and I2 Citation Award (2012).

• Geostatistical Modelling
• Mineral Resource Estimation
• Petroleum Reservoir Engineering
• +۳ مورد دیگر

Professor Peter Dowd is a faculty member in the School of Chemical Engineering at the University of Adelaide, specializing in geostatistical and geological modelling. He holds a Professor rank and is affiliated with the Mining and Petroleum Engineering department. His research focuses on geostatistical applications in mineral resources, petroleum reservoirs, and environmental systems, including stochastic risk assessment and optimal mine design. He has contributed to commercialized software like MINVEST and GeostatWIN, developed in collaboration with the Universities of Adelaide and Leeds. His work addresses complex geological challenges, such as orebody modelling, hydrocarbon reservoir characterization, and enhanced geothermal systems. Recent projects involve environmental risk analysis, aquifer flow pathways, and climate change impacts. Key contributions include co-authoring Mining Geostatistics and editorial roles in geostatistical publications. His expertise spans mineral economics, operational research, and computer-aided mine design. He advises on PhD/Master’s projects and actively engages in grants and industry partnerships.

• Nonparametric Inference
• Applied Statistics in Agriculture
• Food Sensometrics
• +۳ مورد دیگر

Dr. Olena Kravchuk is a Senior Lecturer at the University of Adelaide's School of Agriculture, Food and Wine, within the Faculty of Sciences, Engineering and Technology. She specializes in nonparametric inference and applied statistics, focusing on agriculture, food science, and sensometrics. Her research spans robust statistical methods, food sensory analysis, and the design of agricultural experiments. Her expertise includes developing statistical tools for analyzing agricultural and food data, such as ranked-set sampling and spatially balanced sampling techniques. She leads the SAGI-STH project funded by the Grains Research and Development Corporation, emphasizing statistical applications in the Australian grains industry. Dr. Kravchuk collaborates across disciplines, including medical and biological sciences, and has contributed to tools like the PMapp for assessing grape powdery mildew. Research Themes: Robust statistical methods (e.g., rank-based inference). Food sensometrics beyond consumer research. Applied statistics in agriculture and food systems. Her publications cover experimental design, agricultural data analysis, and biomedical applications. She actively engages in teaching biometry and research methods to students and professionals, fostering statistical literacy in agricultural and food science communities. Dr. Kravchuk holds a PhD (2006) in statistics and has held roles such as founding the Food Sensory Research Unit at the University of Queensland (2011). She is eligible to supervise Masters and PhD students in statistical methodology and applied research.