جستجوی استاد راهنمای دانشگاهی

Matthieu Gresilمشاهده پروفایل

مدرس ارشد

• Multifunctional Composite Materials
• Vitrimers
• Bio-based Composites
• +۵ مورد دیگر

Dr. Matthieu Gresil is a Senior Lecturer in both the Department of Materials Science and Engineering and the Department of Mechanical and Aerospace Engineering at Monash University. He joined Monash in 2020 and leads the Circular Plastic Research Node within the Faculty of Engineering, focusing on advancing sustainable materials and recycling technologies. His expertise spans multifunctional composites, vitrimers, bio-based materials, and structural health monitoring. Gresil holds a PhD from École Normale Supérieure of Cachan (2009), with postdoctoral experience at the University of South Carolina and the University of Manchester. Education: BSc in Physics, University of Nantes (2004) MSc in Physics (Matter and Materials), University of Nantes (2006) PhD in Physics/Materials, École Normale Supérieure of Cachan (2009) Research Interests: Multifunctional composites (health monitoring, self-healing) Vitrimers and bio-based polymers Nanocomposites and recycling technologies Bio-inspired morphing materials via 3D printing and nanotechnology Grants and Projects: "Vitrimer composites - a new material for Defence applications" (2025–2026) "Developing vitrimers: next generation reusable plastics" (2024–2027) "Recycled Materials for Tram Stop Platforms" (2021–2024) Labs and Roles: Leads the Circular Plastic Research Node, fostering collaboration on sustainable materials and circular economy initiatives.

• Advanced Manufacturing Technologies
• Computer Aided Design (CAD)
• Computer Aided Manufacturing (CAM)
• +۷ مورد دیگر

Prof. Songlin Ding is a Professor of Manufacturing Engineering at RMIT University's School of Engineering. He joined RMIT in 2005 as a Lecturer, progressing to Senior Lecturer (2009), Associate Professor (2015), and Professor (2020). He currently manages the Master of Engineering (Manufacturing) program. His research focuses on advanced manufacturing technologies, including CAD/CAM, geometric modeling, and machining of difficult materials like synthetic diamonds and titanium alloys using CNC and non-traditional methods. He pioneered the 'adaptive iso-planar' machining strategy, now widely adopted in CAD/CAM software. His work on high-speed machining of ultra-hard materials and additive manufacturing has been supported by ARC, CRCs, Victorian Government, and industry. Teaching interests include advanced manufacturing technologies and supervision of projects in areas like electrical discharge machining, additive manufacturing, and robotic applications. He coordinates over 20 courses and has published >100 papers in manufacturing, mechanical, and control engineering. Key contributions include developing post-processing techniques for additive manufacturing biomedical components and creating novel cutting tools for robotic bone tumor excision. His research emphasizes industry impact, particularly in aerospace and medical applications.

Dong Ngoduyمشاهده پروفایل

دانشیار

• Connected and Autonomous Vehicles
• Traffic Flow Theory and Simulation
• Data Fusion
• +۴ مورد دیگر

A/Professor Dong Ngoduy is the Head of Transport Engineering and an Associate Professor in Transport Engineering at Monash University's Department of Civil and Environmental Engineering. He holds a PhD in Traffic Flow Theory from TU Delft (Netherlands) and an MSc from Linköping University (Sweden). His research focuses on Connected and Autonomous Vehicles (CAVs), Traffic Flow Theory, Data Fusion, and Urban Network Optimization. He received the EPSRC Advanced Fellow Award (2011-2016) and chairs the Connected Traffic Systems Lab. His current work aims to develop smart city platforms for multi-modal transport infrastructure management. Education: MSc in Traffic Engineering, Linköping University PhD in Traffic Flow Theory, Delft University of Technology Research Expertise: Traffic Flow Theory Data Fusion Techniques Urban Network Optimization CAV Dynamics Grants & Awards: EPSRC Advanced Fellow Award (2011-2016) EU Horizon 2020 Project (~$1.2M) Australian Research Council (ARC) Assessor Teaching: Courses include Transport and Traffic Engineering (CIV2282) and Autonomous Vehicle Systems (CIV4100). Labs & Teams: Leads the Connected Traffic Systems Lab and collaborates on projects like Digital Twins for urban networks.

Aleksandr Zinovievمشاهده پروفایل

پژوهشگر ارشد

• Additive manufacturing
• Metal 3D printing
• Materials science
• +۶ مورد دیگر

Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.

Luca Modeneseمشاهده پروفایل

مدرس ارشد

• Computational biomechanics
• Musculoskeletal modeling
• Neuromuscular modeling
• +۲ مورد دیگر

Dr. Luca Modenese is a Senior Lecturer in Biomechanics at the Graduate School of Biomedical Engineering, University of New South Wales (UNSW). A recipient of the prestigious Scientia Fellowship , his research focuses on computational biomechanics with specialization in musculoskeletal and neuromuscular modeling. He has extensive experience across institutions including Imperial College London, Griffith University, and Sheffield University. Education : Mechanical Engineering (summa cum laude), University of Padua (2008) PhD in Structural Biomechanics, Imperial College London (2013) Research Expertise spans musculoskeletal modeling, neuromuscular simulation, orthopaedic biomechanics, and predictive computational methods. His work integrates patient-specific modeling with finite element analysis and predictive simulations. Recent publications highlight advancements in GAN-based motion data generation , electromyography-informed models , and AI-enhanced biomechanical analysis . Scientific Recognition : Scientia Fellowship (UNSW) Athanasiou ABME Award (2021) Publication of the Year (Australia and New Zealand Society of Biomechanics, 2017) Griffith University Awards (2015) OpenSim Fellows Program (Stanford, 2014) Supervision & Collaboration : Currently supervising PhD students Arnault Caillet and Metin Bicer at Imperial College London as external supervisor. Actively involved in research partnerships with institutions including Imperial College London, Stanford University, and the Menzies Health Institute Queensland.

• Hydrogen Production
• CO2 Capture
• Solar Thermal Energy
• +۳ مورد دیگر

Dr. Mehdi Jafarian is a Senior Lecturer in the School of Chemical Engineering at the University of Adelaide . His work focuses on hydrogen production , CO2 capture , solar thermal energy , and chemical looping combustion . Key research areas include: Solar thermal integration in industrial processes Hydrogen generation via methane pyrolysis CO2 sequestration technologies Advanced water treatment systems Thermochemical energy storage Research Trends : Recent publications emphasize hydrogen production optimization , PFAS removal , and molten metal reactor systems . Sub-fields span flash reactor modeling , hydrodynamic cavitation , and membrane-free electrolysis . Contact : mehdi.jafarian@adelaide.edu.au

Ding Ze Yangمشاهده پروفایل

مدرس

• Industrial AI
• Deep Learning
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Ding Ze Yang is a Lecturer in the Department of Electrical and Robotics Engineering at Monash University Malaysia. He holds a PhD (2023) and Bachelor's degree (2019) in Engineering from the same institution. His research focuses on Industrial AI, emphasizing data-driven soft sensors for industrial process monitoring, with applications in manufacturing, energy, and logistics. He has published in journals like IEEE Transactions on Industrial Informatics and Soft Robotics. Education: PhD in Engineering, Monash University Malaysia (2019–2023) Bachelor of Engineering (Honours) in Electrical and Computer Systems Engineering, Monash University Malaysia (2015–2019) Research Interests: Industrial AI, deep learning, data-driven modeling, process monitoring, autonomous systems, and soft sensor development. His work addresses challenges in predictive maintenance, process optimization, and sustainable manufacturing through AI-driven solutions. Publications: Recent work includes contributions to soft sensor modeling, transfer learning for multi-agent systems, and Kalman filter optimization. These publications highlight advancements in industrial AI applications. Collaborations: Active collaborations include projects on soft robotics, energy storage systems, and autonomous transportation. He is open to supervising PhD students in these areas.

Anna Zinnمشاهده پروفایل

پژوهشگر ارشد

• Tourism Management
• Environmental Psychology
• Social Identity Theory
• +۳ مورد دیگر

Dr. Anna Zinn is a Postdoctoral Research Fellow at the School of Business, Faculty of Business, Economics and Law, The University of Queensland, specializing in social identity applications for sustainable tourism and hospitality behavior change. Education: Doctor of Philosophy in Psychology, University of Exeter Masters (Coursework) of Research Psychology, University of Exeter Her research centers on environmental psychology and social identity theory , with pioneering work on reducing buffet waste, promoting towel reuse through anthropomorphism, and optimizing hotel sustainability practices. She employs computational-linguistic methods, experimental designs, and field studies to develop practical interventions that balance environmental goals with guest satisfaction in tourism contexts. Analysis of her 14 publications (2021-2025) reveals a consistent trajectory toward interdisciplinary solutions for sustainable tourism, integrating psychology, hospitality management, and environmental science. Key trends include leveraging social identity salience for pro-environmental behavior, refining pre-testing protocols for field interventions, and addressing implementation challenges in real-world hospitality settings. Dr. Zinn actively collaborates with Professor Sara Dolnicar's research group and has served as Principal Advisor for one PhD project ('Using Gamification to Inspire Sustainable Tourist Behaviour') and Associate Advisor for three others. Current funding includes an ARC Discovery Project (2025-2028) on behavior change mechanisms and an Energy Queensland grant (2024-2025) for electricity usage segmentation.

• Complex Systems
• Computational Epidemiology
• Artificial Intelligence
• +۵ مورد دیگر

Professor Mikhail Prokopenko is a leading academic in complex systems research at the University of Sydney's School of Computer Science. He holds a PhD in Computer Science (Macquarie University, 2002), MA in Economics (USA), and MSc in Applied Mathematics (USSR). As Director of the Centre for Complex Systems and Theme Co-Leader for Pathogen Emergence and Spread at the Institute for Infectious Diseases, his work focuses on modeling self-organizing systems, computational epidemiology, and AI applications in pandemic control. Roles: Director of Centre for Complex Systems, Theme Co-Leader (Pathogen Emergence), Theme Leader (Complex Systems) Education: PhD Computer Science (2002), MA Economics (USA), MSc Applied Mathematics (USSR) Affiliations: Fellow of Royal Society of NSW, Specialty Editor for Frontiers in Robotics and AI His research addresses challenges in complex systems like power grids, communication networks, and epidemiological models. Notable contributions include: RoboCup World Champion teams (2016, 2019) in Simulation League COVID-19 modeling featured in Nature's Top 50 SARS-CoV-2 articles (2020) Development of AMTraC-19 agent-based pandemic model Key research areas include: Guided self-organization principles Information dynamics in collective systems Thermodynamic efficiency of complex processes He has supervised over 200 publications and patents, with recent focus on pandemic response optimization and urban system resilience.

Steven Walkerمشاهده پروفایل

دانشیار

• Therapeutic Reasoning
• Interprofessional Education
• Competency-Based Education
• +۵ مورد دیگر

Steven Walker is an Associate Professor in the Department of Experiential Development and Graduate Education at Monash University's Faculty of Pharmacy and Pharmaceutical Sciences. His roles include Intern Programs Manager, overseeing units such as PHR5061 and PHR5162, and academic lead for undergraduate units like PHR2042 and PHR3042. His expertise spans clinical pharmacy, education research, and interprofessional collaboration, with a focus on therapeutic reasoning, competency-based education, and work-integrated learning. Education Background: Walker holds a Doctorate by Research (Pharmacy and Pharmaceutical Sciences Education) from Monash (2019) and a Bachelor of Pharmacy (Honours) from the same institution (2010). Research Interests: His work bridges education and practice, addressing therapeutic reasoning models, interprofessional education, and pharmacy practice innovations like antibiotic allergy management and febrile neutropenia treatment. He has contributed to national initiatives such as the Australian Pharmacy Council's Workplace-Based Assessment training and the Society of Hospital Pharmacists Australia's Education Pharmacist framework. Notable Achievements: Recognized with multiple teaching awards, including the Monash Student Association Faculty Teaching Excellence Award (2019, 2020), and the 2022 Citation for Outstanding Contribution to Student Learning. His research has informed curriculum design and assessment methods in digital health and interprofessional collaboration. Collaborations: Active in national and international networks, including collaborations with the Australian Pharmacy Council and SHPA. His projects include framing postgraduate digital health curricula and advancing workplace-based training programs.

• Wastewater Treatment
• Water Recycling
• Anaerobic Digestion
• +۳ مورد دیگر

Dr. Maazuza Othman is a Senior Lecturer at RMIT University’s School of Civil, Environmental and Chemical Engineering (part of the School of Engineering). She has held academic roles at RMIT since 2000, including Program Coordinator and Course Development Officer. Her research focuses on wastewater treatment optimization, water recycling, evaporation enhancement, and anaerobic digestion processes. Industrial collaborations include projects with Huntsman Chemicals and assessments of wastewater treatment plant capacity. Dr. Othman’s teaching interests span wastewater treatment modeling, water conservation in commercial buildings, and sustainable design. She has supervised numerous research projects on topics such as electrobiomethanation, lignocellulosic biorefinery, and anaerobic co-digestion. Active in professional networks, she is a member of the Australian Water Association and Waste Management Association of Australia.

• Fluid Dynamics
• Mechanical Engineering
• Renewable Energy
• +۷ مورد دیگر

Dr. Tim Lau is a Program Director and Research Degree Supervisor at the University of South Australia's STEM College (UniSA STEM). He is available for media commentary and specializes in fluid dynamics, mechanical engineering, and renewable energy systems. Research Interests : Dr. Lau's work focuses on particle-laden flows, turbulence modeling, vortex dynamics, and solar thermal technologies. His studies explore particle behavior under radiation, flow dispersion in confined environments, and energy efficiency in residential and industrial systems. Publication Trends : His recent articles emphasize experimental and computational analyses of fluid-particle interactions, with applications in hydrogen combustion, solar receivers, and heat exchangers. Key methodologies include laser diagnostics and numerical simulations.

• Quantum Sensors
• Quantum Gravimetry
• Quantum Magnetometry
• +۴ مورد دیگر

Professor John Close is a Professor and Head of the Department of Quantum Science within the Research School of Physics and Engineering at the Australian National University (ANU). He has held this professorship since 2008 and previously served as Deputy Director of the School from 2012 to 2016. His leadership roles include Chair of the ANU Defence Working Group and Deputy Chair of ANU Academic Board (2015-2017), alongside being a Senior Fellow of the Higher Education Academy. His educational background includes: PhD in Physics from the University of California, Berkeley (1991) Postdoctoral Fellowship at the University of Washington, Seattle (1991-1994) Alexander von Humboldt Fellowship and Max Planck Research Fellowship at the Max Planck Institut für Strömungsforschung, Göttingen (1994-1998) Close's research centers on harnessing quantum fields to develop advanced quantum sensors for fundamental physics and interdisciplinary applications. His experimental and theoretical work spans quantum gravimetry, magnetometry, and Bose-Einstein condensate systems, with direct applications in mapping archaeological sites, volcanoes, aquifers, and mineral deposits. He actively explores quantum wavelet representations, higher-dimensional information processing, motion simulation, and biological quantum sensing through extensive collaborations with Earth Science, Biology, and Industry partners. Analysis of his recent publications reveals a dominant focus on compact mobile quantum sensing platforms, atom interferometry innovations, and sensor fusion techniques. His work bridges quantum physics with practical navigation, geophysical surveying, and environmental monitoring solutions, emphasizing real-world deployment of quantum technologies for precision measurements in gravimetry and inertial navigation. His scientific recognition includes: Alexander von Humboldt Fellowship (1994-1998) Queen Elizabeth II Fellowship (2000) National Teaching Award for Research Led Education (2006) As a former member of the Australian Research Council College of Experts (2015-2018), Close has significantly influenced national research funding while securing grants for interdisciplinary quantum projects. His educational leadership as Deputy Director of the Research School of Physics and Engineering (2012-2016) demonstrates commitment to research-led teaching, recognized by his national teaching award. Close leads the Atom Laser Research Group, driving experimental work in quantum sensor development and Bose-Einstein condensate applications. His team focuses on translating quantum phenomena into deployable technologies for defense, resource exploration, and environmental monitoring through industry and international academic partnerships.

Neil Baileyمشاهده پروفایل

پژوهشگر ارشد

• Mindfulness and Meditation Research
• Electroencephalography (EEG) Analysis
• Non-invasive Brain Stimulation
• +۶ مورد دیگر

Dr Neil Bailey is a Senior Research Fellow at the Australian National University's School of Medicine and Psychology, leading innovative research at the intersection of neuroscience, psychology, and mental health. His work focuses on understanding how mental health can be improved through various interventions, particularly mindfulness practices and brain stimulation techniques. Dr Bailey's research interests include: Investigating how mindfulness meditation affects brain activity, cognition, and mental health outcomes Developing novel treatments for depression, obsessive-compulsive disorder, and schizophrenia Applying non-invasive brain stimulation techniques like rTMS and tACS for mental health conditions Using machine learning and EEG to predict treatment responses for depression Exploring psychedelic-assisted psychotherapy for mental health conditions His recent publications reveal a strong focus on EEG-based research, particularly examining neural connectivity patterns, developing advanced data processing pipelines like RELAX, and investigating the neural mechanisms underlying mindfulness meditation. Dr Bailey's work consistently bridges theoretical neuroscience with practical clinical applications, aiming to enhance treatment efficacy for various mental health conditions. Dr Bailey leads multiple research projects including ASSESS (studying psychedelic medicines), EMPACT (evaluating psychedelic-assisted psychotherapy for depression), and several TACS-related projects for depression and OCD treatment. He also serves as Head of Data Science at the Monarch Mental Health Group, applying his expertise in data analysis to real-world mental health challenges.

Ibrar Yaqoobمشاهده پروفایل

پژوهشگر ارشد

• Blockchain and Applications
• NFTs and Metaverse Applications
• Mobile Edge-Cloud Computing
• +۴ مورد دیگر

Dr. Ibrar Yaqoob serves as a Senior Research Fellow and Program Lead for the Smart and Resilient Supply Chain strand at the Artificial Intelligence and Cyber Futures Institute (AICF) at Charles Sturt University. He leads a research team comprising PhD students and postdoctoral fellows, and previously held research positions at Khalifa University in the UAE and Kyung Hee University in South Korea. Dr. Yaqoob holds a PhD in Computer Science from Universiti Malaya (2017) and has been a Visiting Academic at the University of Cambridge. His research focuses on blockchain, NFTs, and metaverse applications for healthcare, supply chain and logistics, wireless networks, IoT, and smart cities, with additional expertise in mobile edge-cloud computing and big data. Dr. Yaqoob has published over 100 research articles with more than 24,000 citations and an h-index of 58, with 98.9% of his publications appearing in Q1 journals. His recent publications demonstrate a strong trend toward practical blockchain implementations across diverse sectors including healthcare data management, sustainable supply chains, and smart city infrastructure. His work frequently combines blockchain with emerging technologies like NFTs, metaverse applications, and large language models to solve complex real-world problems in supply chain transparency, medical data security, and sustainable development. Ranked in the world's top 0.1% of researchers for three consecutive years (2023-2021) as a Highly Cited Researcher Listed among the World's top 2% scientists for five consecutive years (2020-2024) 2024 IEEE Consumer Electronics Magazine Best Paper Award (1st Place) 2024 Vice Chancellor's Researcher of the Year Commendation 2024 AICF Research Excellence Award 13 highly cited papers (top 1%) and 21 most downloaded articles Dr. Yaqoob serves as Chief Investigator on multiple significant research projects including the AgriTwins project (AUD $2.38 million), Trustworthy Operations and Supply Chain Management project (AUD $10,000), and Decentralized AI Juries project (AUD $13,875). He actively mentors PhD students and postdoctoral researchers while serving on editorial boards for prestigious journals including IEEE Network Magazine, Future Generation Computer Systems, and IEEE Access. His research team at the AICF Institute focuses on bridging emerging technologies with practical applications to address real-world challenges in supply chain resilience and sustainability.