جستجوی استاد راهنمای دانشگاهی

• Structural Engineering
• Masonry Systems
• Earthquake Engineering
• +۵ مورد دیگر

Dr. Yuri Totoev is an Honorary Senior Lecturer in the School of Engineering (Civil Engineering) at the University of Newcastle, Australia. He specializes in structural engineering with a focus on masonry systems, seismic performance, and energy dissipation mechanisms. His career spans over three decades, including international collaborations with institutions such as the Kiev State Technical University and the Slovenian National Research Institute for Civil Engineering. Dr. Totoev holds a PhD and Master of Engineering Science from Kiev State Technical University. His research expertise encompasses brick products, dynamics of structures, finite difference methods, plate and shell mechanics, and unsaturated moisture flow. He has led major research programs, including pioneering work on semi-interlocking masonry (SIM) systems designed to enhance earthquake resistance in buildings. His publications span 85 conference papers and 40 journal articles, focusing on experimental and numerical studies of masonry behavior under seismic and static loads. Notable contributions include investigations into SIM panels’ out-of-plane capacity, confined masonry systems, and the application of digital image correlation (DIC) for displacement analysis. He has secured over $318,000 in research grants and supervised 11 PhD/Master’s students. Dr. Totoev has received prestigious awards such as the 2007 Engineering Excellence Award (Engineers Australia) and the 2001 Dr. R.G. Drysdale Award. He currently contributes to the Centre for Infrastructure Performance and Reliability, advancing innovations in structural resilience and sustainable construction materials.

Yvonne Durandetمشاهده پروفایل

دانشیار

• Metallurgical Engineering
• Surface Engineering
• Additive Manufacturing
• +۶ مورد دیگر

Dr. Yvonne Durandet is an Associate Professor (Advanced Manufacturing) in the Department of Mechanical and Product Design Engineering at Swinburne University of Technology, and Academic Director (Work Integrated Learning) for the School of Engineering. She holds an Orcid identifier 0000-0001-8265-0688 and can be reached at ydurandet@swin.edu.au. Her research focuses on advanced manufacturing, metallurgical engineering, and sustainable materials processing, with over 100 publications in journals and conferences. Research Interests: Dr. Durandet’s work spans metallurgical and surface engineering, casting/solidification, laser processing, additive manufacturing, and recycling of battery materials. She has pioneered studies on mechanically plated coatings, origami-based energy absorbers, and functionally graded lattices. Her industry collaborations include projects with CAST CRC, AutoCRC, and BHP, leading to innovations in laser-assisted manufacturing and material recycling. Awards: She received the David StJohn CAST Industry Partners’ Award (2009), two CAST Commercialisation Awards (2010), and holds a 1985 PhD scholarship from the University of Adelaide. Her work in aluminothermic reduction for battery recycling and origami metamaterials is highly impactful. Grants & Industry Projects: Active projects include advanced nanomaterial coatings for polyamide filaments (Solaft Filtration Solutions) and lunar-based metal casting technologies (Lunar Resources). She has secured funding from ARC, Excellence Australia, and Defence Department for initiatives in additive manufacturing and high-power laser processing. Professional Activities: Member of TMS, AIST, and Materials Australia, with roles as Committee Member (AIST Metallurgy Committee) and President (Materials Australia Vic/Tas Branch). She has reviewed for Helmholtz Gemeinschaft and led international collaborative projects. Teaching & Supervision: Supervises doctoral candidates in additive manufacturing, energy absorption materials, and battery recycling. Her teaching integrates industry-relevant projects and work-integrated learning programs aligned with automotive and aerospace sectors.

David Cooperمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Educational Technology
• Collusion Detection
• +۳ مورد دیگر

Dr. David Cooper is a Senior Lecturer in the School of Elec Eng, Comp and Math Sci (EECMS) at Curtin University, part of the Faculty of Science and Engineering. He holds a role in the Office of the Provost and is based at Curtin Perth Campus. His expertise lies in software engineering education and development of tools for academic purposes. Research Interests: Cooper focuses on software engineering pedagogy, automated assessment systems (e.g., TokenDiff for plagiarism detection), educational technology, and developer cognition. His work emphasizes practical tools like Textema for academic content generation and automated lab testing systems. Publications: His research spans software inspection techniques, cognitive aspects of collaborative coding, and educational methodologies in computing education. Key areas include Bloom's Taxonomy applications in software quality analysis and developer comprehension studies. Labs/Tools: Developed TokenDiff (source code collusion detector), Textema (LaTeX academic toolset), and automated feedback systems for coding assignments. These tools reflect his commitment to enhancing both teaching practices and software engineering processes.

Chin-Hsing Kuoمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Robotics
• Biomedical Engineering
• +۶ مورد دیگر

Chin-Hsing Kuo is a Senior Lecturer and Academic Program Director of Mechanical Engineering at the University of Wollongong, Australia. Previously, he held positions as Associate and Assistant Professor at National Taiwan University of Science and Technology and earned his Ph.D. in Mechanical Engineering from King’s College London in 2011. His research focuses on optimizing mechanical energy interactions in mechanisms and robotic systems, emphasizing static balancing and magnet-enabled innovations. He currently leads the ASME Mechanisms and Robotics Committee and chairs the IFToMM Technical Committee for Linkages and Mechanical Controls. Education: Ph.D. in Mechanical Engineering, King’s College London (2011). Prior roles include visiting scholar positions at Delft University of Technology and the University of Minnesota. He holds prestigious awards such as the Ta-You Wu Memorial Award and the Freudenstein/General Motors Young Investigator Award. Research Interests: Mechanism design, robotics, biomedical engineering, energy systems, and assistive technologies. Notable projects include gravity compensation for robotic arms and magnetic systems for static balancing. His work bridges theoretical and applied engineering, with applications in medical devices and sustainable manufacturing. Leadership: Served as Conference Chair for the 2021 ASME Mechanisms and Robotics Conference and General Chair for the 2019 ISRM. Editorships include ASME Journal of Mechanisms and Robotics and Mechanism and Machine Theory. Active in professional societies like ASME and IFToMM. Teaching: Courses in mechanical design, mechanism theory, and robotics at both undergraduate and postgraduate levels. Current supervision of Ph.D. students on topics like adaptive magnetic gravity compensation and sustainable architecture strategies. Awards and Fellowships: ASME Fellow (2024), JSPS International Research Fellow (2023), and multiple industry-academia collaboration awards. His contributions span international conferences and editorial roles, advancing mechanism and machine science globally.

Dariusz Altermanمشاهده پروفایل

مدرس ارشد

• Structural Engineering
• Masonry Structures
• Bridges Design and Maintenance
• +۷ مورد دیگر

Dr Dariusz Alterman is a Senior Lecturer in Civil Engineering at the University of the Sunshine Coast (UniSC), Queensland, Australia. He holds a PhD in Civil Engineering and multiple advanced degrees in Structural and Mechanical Engineering. His expertise spans structural engineering, masonry, bridge structures, energy efficiency, and AI-driven analysis. He leads research in energy efficiency, blast load analysis, and sustainable construction techniques. Education: PhD in Civil Engineering (NATO Science for Peace Program) MSc Structural Engineering & BEng (StructE) (Hons 1) MSc Mechanical Engineering & BEng (MechE) (Hons 1) Research Focus: Combines structural analysis, stochastic modeling, and AI to address climate resilience in construction. Key areas include dynamic thermal assessment of buildings, methane explosion modeling in mines, and probabilistic risk assessment for infrastructure. He advocates for a carbon-neutral transition in construction through innovative materials and design. Awards: Excellence in Teaching Award (2020) Multiple international postdoctoral fellowships (JSPS, Poland, NZ, Australia) Fellow of Engineers Australia Teaching & Leadership: Coordinates the Bachelor of Engineering (Civil) (Honours) program. Emphasizes project-based learning, integrating teaching with research. Courses include Statics, Structural Analysis, Engineering Mechanics, and Computation. Industry Collaboration: Established industry-academia partnerships through roles at the University of Newcastle’s Energy Efficiency Research Group. Active in developing climate-resilient construction techniques and smart building technologies.

• Intelligent Software Systems
• Artificial Intelligence
• Human-Computer Interaction
• +۵ مورد دیگر

Professor Haifeng Shen is a faculty member in the Discipline of Engineering and Information Technology at Southern Cross University’s Faculty of Science and Engineering. He holds dual senior memberships with ACM and IEEE and has led multiple academic roles including Head of Discipline, Research Lab Director, and HDR Discipline Chairperson. His research focuses on intelligent software systems, AI-driven interaction technologies, and real-world applications in defense, healthcare, education, sports, and sustainability. Education: PhD in Computing (Griffith University), MEng in Computer Architecture (Tianjin University), and BEng in Computer Applications (Tianjin University). He has taught across all academic levels, with expertise in online/blended teaching models and program accreditation leadership. Research leadership includes founding HilstLab at Australian Catholic University and organizing international conferences. His recent work emphasizes AI in software engineering (code review, vulnerability detection), IoT analytics, and human-AI collaboration in healthcare/education. Over 200 publications span topics like DevOps security, logging practices, and ADHD attention interface design. Awards: Not explicitly listed in provided texts but his roles and conference leadership suggest significant academic recognition. Professional service includes university committees on research ethics and HDR strategy.

• Computational Fluid Dynamics
• Natural Convection
• Thermal Management Systems
• +۷ مورد دیگر

Mehdi Khatamifar is a Senior Lecturer in Mechanical Engineering at James Cook University's College of Science and Engineering. He completed his PhD in Mechanical Engineering from James Cook University in 2018 and has been with the institution since, first as a Lecturer (2018-2023) and subsequently promoted to Senior Lecturer in 2023. Dr. Khatamifar's research spans computational fluid dynamics, natural convection, thermal management systems, and sustainable building design. His work focuses on practical applications in building heat transfer, ventilation, HVAC systems, solar energy technologies, and industrial safety structures. He has developed expertise in thermal management systems including heat sinks and heat exchangers, additive manufacturing of innovative heat-dissipating materials, and structural design for robust infrastructure solutions. His recent publications reveal a strong focus on fluid dynamics and thermal engineering, with particular emphasis on natural convection phenomena, heat transfer optimization, and renewable energy applications. The research demonstrates consistent contributions to understanding boundary layer phenomena, thermal management in electronics, and solar energy systems, with applications ranging from telecommunication cabinets to electric vehicle battery systems. JCU Citations for Outstanding Contributions to Student Learning (2022) Dr. Khatamifar actively supervises PhD candidates and seeks dedicated students for research opportunities in thermal-fluid sciences. He teaches key mechanical engineering courses including Statics and Dynamics, Finite Element Analysis, and Heat and Mass Transfer. His current research projects include developing cost-effective thermal energy storage systems for photovoltaic-powered homes and conducting airbag deployment tests. He maintains an active research program with multiple ongoing projects that bridge theoretical fluid dynamics with practical engineering applications, particularly in sustainable energy and thermal management systems.

Jean-Guy Schneiderمشاهده پروفایل

استاد

• Software Engineering
• Quantum Computing
• Cloud Computing
• +۴ مورد دیگر

Prof. Jean-Guy Schneider is a Professor and Associate Dean (Education) in the Faculty of IT at Monash University. He holds a PhD in Computer Science from the University of Bern, Switzerland, and has over 20 years of experience in higher education. His research focuses on reliable software technologies, including component-based systems, cloud/mobile computing, quantum software, and agile methodologies. He actively contributes to software engineering education and industry-relevant research. His key research areas include energy-efficient IoT architectures, machine learning model security (e.g., MLGuard project), and quantum computing abstractions. Recent work emphasizes optimizing workflows for energy/performance trade-offs and addressing challenges in open-source ML projects. Prof. Schneider has published extensively on topics like service virtualization, Docker container monitoring, and anomaly detection in cloud systems. He supervises PhD candidates in software engineering for machine learning and quantum computing.

• Computer Science
• Software Engineering
• Binary Translation
• +۲ مورد دیگر

Cristina Cifuentes is an Adjunct Professor at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on software engineering, particularly binary translation, decompilation, and computer security analysis. Key research areas include: Program analysis and verification Reverse engineering techniques Software security vulnerability detection Binary code transformation

Annabelle McIverمشاهده پروفایل

استاد

• Program Verification
• Quantitative Information Flow
• Computer Security
• +۳ مورد دیگر

Annabelle McIver is a Professor at the School of Computing, Macquarie University, and a member of the Data Horizons Research Centre, Future Communications Research Centre, and Frontier AI Research Centre. Her research focuses on program verification, quantitative information flow, and privacy-preserving technologies. She holds a DPhil in Mathematics from the University of Oxford and a BA from the University of Cambridge. McIver has held visiting positions at MIT, ETH Zurich, and INRIA, and was a Junior Research Fellow at St Hilda's College, Oxford. Her work has been recognized with awards including the 2015 Best Scientific Cybersecurity Paper and the 2023 Faculty of Science and Engineering Award for Inter-School Collaboration. She leads the Topete Research Group, exploring formal methods and their applications in security and privacy. Her research interests span formal verification, differential privacy, and the mathematical analysis of security flaws. Key projects include work on probabilistic programming, privacy in machine learning, and secure data pipelines. McIver has authored over 125 publications and contributed to initiatives like the Digital Finance CRC and the AIS-SHIELDS project securing health data. Her recent work emphasizes privacy-utility trade-offs in technologies like differential privacy and adversarial attacks. Education: PhD (DPhil) in Mathematics, University of Oxford (1990) BA (Double First) in Mathematics, University of Cambridge (1985) Awards: Best Scientific Cybersecurity Paper (2015) Distinguished Paper Award (2024) Platt Prize (1984) Unwin Prize (1985) McIver collaborates internationally on cybersecurity, privacy frameworks, and formal methods, with active projects in autonomous systems, healthcare data security, and AI ethics.

Matthew Robertsمشاهده پروفایل

مدرس ارشد

• Functional Programming
• Programming Language Design
• Formal Methods
• +۵ مورد دیگر

Matthew Roberts is a Senior Lecturer in the School of Computing at Macquarie University, affiliated with the Data Horizons Research Centre. His research focuses on functional programming, formal methods, and autonomous systems, with notable contributions to aquatic vehicle simulation and programming education. He has secured grants from Google and industry partners for projects like UAV navigation systems and expanding STEM education equity. His research interests bridge computer science and applied mathematics, emphasizing programming language design, static analysis tools, and cognitive aspects of computing education. Roberts collaborates on initiatives such as the G2G project to engage women in STEM, and has developed open-source software for autonomous systems and mental health data analysis. Recent work highlights interdisciplinary approaches, including data-driven reorganization of psychiatric diagnostic criteria and analyzing cognitive predictors of programming success. His publications span domains from compiler optimization to human-robot interaction, reflecting his commitment to both technical innovation and educational outreach. Received 2024 Vice-Chancellor's Teaching Excellence Award Principal Investigator on 10+ research grants totaling $2.5M AUD Developed simulation frameworks for unmanned surface vehicles (USV) Authored widely-used Kiama programming library Active in academic service, Roberts has served on program committees for Haskell Symposium, SIGCSE, and Software Language Engineering conferences since 2014. His teaching philosophy emphasizes mathematical foundations and student-centered learning strategies.

Hong Jin Kangمشاهده پروفایل

مدرس

• Active Learning
• Artificial Intelligence
• Software Engineering
• +۳ مورد دیگر

Hong Jin Kang is a Lecturer in the School of Computer Science at The University of Sydney. His research focuses on improving developer productivity through human-centric AI tools, particularly in Active Learning and AI-driven Software Engineering. Prior roles include postdoctoral fellowships at UCLA and a PhD at Singapore Management University (SMU), advised by Prof. David Lo. His work spans vulnerability detection, program transformation, and software supply chain security, with practical industry impact through CVE discoveries and deployed techniques. Education : PhD in Computer Science, Singapore Management University (2023) Postdoctoral Research, University of California, Los Angeles (UCLA) Research Interests : Active Learning for code analysis and vulnerability management AI and ML integration into software development tools Cybersecurity in software supply chains Program transformation and legacy code modernization His publications address challenges in automated tool development, including vulnerability identification (e.g., CHRONOS), code model compression, and adversarial specification mining. Recent work emphasizes sustainability in AI and human-in-the-loop systems. Awards : Distinguished Reviewer Award for ICSE 2025 Advising & Grants : Actively mentoring PhD students in software engineering and AI, with a focus on curiosity-driven candidates. His research is supported by collaborations with industry and academic institutions. Labs/Teams : Pioneers tools like Coccinelle4J for Java program transformation and collaborates on projects such as VulCurator and HERMES for vulnerability analysis.

• Artificial Intelligence
• Multi-Agent Systems
• Deep Learning
• +۷ مورد دیگر

Assoc Prof Kaile Su is an Associate Professor at the School of Information and Communication Technology, Griffith University, with expertise in artificial intelligence, multi-agent systems, and deep learning. They hold an ORCID identifier (0000-0001-6741-9699) and have been affiliated with Griffith University since 2004. PhD in Computer Science from Nanjing University (1995) Postdoctoral work at Changsha Institute of Technology Their research spans combinatorial optimization, temporal logic verification, speech enhancement, and medical imaging applications. Recent work focuses on edge AI, federated learning, and neural network regularization techniques. Key funded projects include ARC Discovery Grants (DP150101618, DP120102489) and an ARC Future Fellowship (FT0991785). Awards include the NSFC Award for Distinguished Young Scholar (2007). Supervised 9 doctoral students at Griffith University Contributions to multi-agent coordination, CT reconstruction, and dialogue systems Active in software verification and sparse graph optimization

Bin Luoمشاهده پروفایل

دانشیار

• Battery Technology
• Electrochemical Energy Storage
• Zinc-Ion Batteries
• +۴ مورد دیگر

Associate Professor Bin Luo serves as an ARC Future Fellow and Group Leader at the Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, where he directs cutting-edge research in electrochemical energy storage systems. His work bridges fundamental materials science with practical sustainable energy solutions, focusing on next-generation battery technologies for grid-scale storage and e-mobility applications. Luo's research program centers on overcoming critical limitations in battery chemistry, particularly dendrite formation in zinc-based systems and resource sustainability challenges. His expertise spans aqueous zinc-ion batteries, lithium-ion anodes from recycled silicon waste, redox flow batteries, and novel electrolyte engineering. Key methodologies include nanomaterials design, solvation structure modulation, and waste upcycling techniques to enhance battery safety, cycle life, and environmental footprint. Analysis of his recent publications reveals dominant research thrusts in zinc-bromine flow batteries (addressing hydrogen evolution and dendrite issues), silicon waste valorization for lithium-ion anodes, and sustainable redox flow systems. His 2025 output demonstrates exceptional productivity with innovative approaches to battery component design and fundamental reaction mechanisms. Scientific recognition includes: ARC Future Fellowship Luo's research program is supported by competitive national funding, enabling his group to pursue high-impact projects in e-mobility, green hydrogen production, and carbon dioxide utilization. His mentorship spans graduate students and postdoctoral researchers advancing battery technology commercialization through industry partnerships. The UQ Dow Centre laboratory, under Luo's leadership, maintains advanced capabilities in materials synthesis, electrochemical characterization, and battery prototyping, with specialized equipment for aqueous battery testing and silicon waste upcycling processes.

Yulei Suiمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Static Analysis
• +۷ مورد دیگر

Yulei Sui is an Associate Professor and ARC Future Fellow at UNSW Sydney within the School of Computer Science and Engineering. His research focuses on advancing static analysis and verification techniques to enhance software reliability and security, particularly through open-source frameworks. Recent work intersects programming languages, natural language processing, and code Large Language Models (LLMs). Education : Ph.D. in Computer Science from UNSW Sydney. Research Interests span software engineering, programming languages, static analysis, adversarial learning for hybrid representations, and AI-driven approaches for software security and biomedical applications. His projects include cross-component cross-language analysis for Android ecosystems and metric visualization frameworks for societal trust. Scientific Awards include: Amazon Research Award (2025) Distinguished Papers at ICSE 2025 and FSE 2024 Fellow of Engineers Australia (2024) Google ASPIRE Grant (2023) UNSW Scientia Fellowship (2023-2026) ARC Future Fellowship (awarded 2022) Grants highlight national and industry-funded projects (ARC Discovery Projects, Google Gift Fund, CSIRO collaborations) from 2017 to 2026. His editorial roles include Associate Editor positions at IEEE Transactions on Software Engineering , IEEE Transactions on Reliability , and Automated Software Engineering journal. Teaching involves COMP6131 Software Security Analysis .