جست‌وجوی استاد و پژوهشگر

• 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.

Zahidul Islamمشاهده پروفایل

استاد

• Data Mining
• Machine Learning
• Cyber Security
• +۴ مورد دیگر

Zahidul Islam is a Professor of Computer Science and Associate Dean (Research) at Charles Sturt University's Faculty of Business, Justice and Behavioural Sciences (FOBJBS). With a PhD in Computer Science from the University of Newcastle and over 150 peer-reviewed publications, his research focuses on data mining, cybersecurity, and AI applications across health, agriculture, and social systems. BSc in Civil Engineering (RUET, Bangladesh) Graduate Diploma in Information Science (UNSW, Australia) PhD in Computer Science (University of Newcastle, Australia) His research spans advanced domains like privacy-preserving data mining , federated learning , and cross-domain security threats . Recent work addresses AI applications in agri-food supply chains, malware detection across platforms, and collaborative learning frameworks for medical data. Key scientific achievements include: Cyber Security Researcher of the Year 2021 (AISA) Innovation Award 2017 (NSW Agency for Clinical Innovation) 2024 Excellence Award (CSU) Stanford University - Elsevier World Top 2% Scientists (2024) $11M+ in competitive research funding

• Cryptography
• Information Security
• Symmetric Encryption
• +۱۱ مورد دیگر

Leonie Simpson is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. Her research and teaching are centered on cryptography and information security, with a strong focus on symmetric encryption, key management, and secure communications. Her research interests include: Symmetric encryption algorithms for real-time communications Authenticated encryption and security-efficiency trade-offs Boolean functions in cipher design for cyber attack resistance Information security management and threat information sharing IoT and vehicular communication security Leonie has published over 80 articles and three book chapters on symmetric ciphers. Her recent publications emphasize lightweight cryptography for connected vehicles, anomaly detection in key management via metadata, and secure frameworks for post-quantum migration. These works reflect a consistent trend toward practical, efficient, and resilient cryptographic solutions for emerging technologies. She has supervised 12 PhD and 1 Master’s student to completion and currently mentors 5 research students. Her grants include leadership in the Cyber Security CRC and an ARC project on secure stream ciphers. She also serves on the editorial board of the journal Cryptography and has chaired major conferences like ACISP 2013 and 2023. Notable professional roles include: Theme Leader, Resilient Systems, Cyber Security CRC Editorial Board Member, Cryptography journal Program Co-chair, ACISP 2013 and 2023 Referee for top journals and conferences in cryptography She has led industry security analyses and served as an expert witness in a Federal Court case on cryptographic telecommunications. Her teaching includes unit coordination for Cyber Security and previous development of multiple information security and cryptography units at QUT.

• Cosmology
• Extragalactic Astrophysics
• Physics and Astronomy Education
• +۸ مورد دیگر

Dr Michael Cowley is a Senior Lecturer in the School of Chemistry & Physics at Queensland University of Technology (QUT), Faculty of Science. He leads the QUT Astrophysics Research Group and serves as the Academic Lead of Learning and Teaching. His research spans extragalactic astrophysics, galaxy evolution, and physics education, with strong involvement in major surveys such as ZFOURGE, ZFIRE, TAIPAN, and ASKAP-EMU. Research Interests: Dr Cowley's work focuses on the co-evolution of galaxies and supermassive black holes, using multi-wavelength data to study star formation, AGN activity, and quenching mechanisms across cosmic time. He also investigates physics and astronomy education, with a commitment to embedding Indigenous knowledges in science curricula. Publication Trends: His recent publications (2020–2025) reflect a strong focus on high-redshift galaxy populations, radio surveys (EMU), source detection algorithms (Hydra), and the integration of observational data with simulations. There is a clear trajectory toward large-scale data analysis, collaborative survey science, and methodological innovation in source finding and galaxy characterisation. Scientific Awards: Vice-Chancellor's Award for Excellence (2022) Faculty of Science's Educator of the Year (2021) Research Centre for Astronomy, Astrophysics and Astrophotonics Observing Funding Award (2015) Member of the International Astronomical Union (2019) Member of the Astronomical Society of Australia (2014) Member of the Australian Institute of Physics (2010) Member of the Institute of Physics (2010) Supervision and Grants: Dr Cowley supervises Honours, Masters, and PhD students in areas such as star formation rate estimation, galaxy evolution, and radio survey analysis. He is actively involved in education leadership and curriculum development. While specific grants are not listed, his leadership in major surveys implies significant research funding and collaboration. Labs and Teams: He leads the QUT Astrophysics Research Group and is a key member of international collaborations including the ZFOURGE, ZFIRE, TAIPAN, and EMU surveys, contributing to large-scale data analysis and scientific interpretation.

Patrick Laubمشاهده پروفایل

مدرس ارشد

• Actuarial Science
• Data Science
• Artificial Intelligence
• +۳ مورد دیگر

Patrick Laub is a Senior Lecturer at the UNSW School of Risk and Actuarial Studies, where he teaches courses in artificial intelligence and machine learning with a focus on risk and insurance applications. His academic work bridges the gap between advanced computational methods and practical actuarial problems. Patrick holds a joint PhD in computational applied probability completed between the University of Queensland and Aarhus University. He also possesses degrees in software engineering and mathematics, providing him with a strong interdisciplinary foundation for his research. His research focuses on computationally challenging problems in actuarial data science, with particular emphasis on natural catastrophe modeling and artificial intelligence applications. Key areas of investigation include Hawkes processes for modeling contagion in insurance claims, Approximate Bayesian Computation for fitting complex insurance loss models, and Empirical Dynamic Modeling for analyzing complex temporal dependencies. His work addresses critical challenges in risk assessment, particularly for extreme events where traditional statistical methods may be inadequate. Analysis of Patrick's recent publications reveals a strong trend toward integrating advanced statistical methodologies with practical actuarial applications. His work spans from theoretical developments in point processes and Bayesian inference to practical implementations in computational environments. A notable theme is the application of machine learning techniques to traditional actuarial problems, particularly in the areas of catastrophe modeling and risk prediction. Patrick has developed and taught innovative courses since 2022, including 'Artificial Intelligence & Deep Learning and their Applications to Risk and Insurance' (ACTL3143 and ACTL5111) and 'Statistical Machine Learning for Risk and Actuarial Applications' (ACTL5110). These courses reflect his commitment to preparing students for the evolving landscape of data-driven risk management in the insurance industry. His research is supported by UNSW's strong infrastructure for computational research, though specific lab affiliations are not explicitly mentioned in the available information. Patrick maintains an active research program with numerous publications across statistics, actuarial science, and computational methods.

Francisco Trujilloمشاهده پروفایل

مدرس ارشد

• Ultrasonic Processing
• Radio Frequency Electric Fields
• Water Detoxification
• +۷ مورد دیگر

Dr. Francisco Trujillo is a Senior Lecturer in the School of Chemical Engineering at the University of New South Wales (UNSW). His research focuses on advancing multiphysics systems for food processing, water treatment, and sustainable technologies. He has expertise in ultrasonics, radio frequency (RF) plasma, membrane technologies, and computational fluid dynamics (CFD). His work addresses challenges in food safety, environmental sustainability, and industrial efficiency. Education: PhD in Chemical Engineering (UNSW, 2004), M.A.Sc. (National University of Colombia, 2000), B.Eng. (National University of Colombia, 1996). Research Interests : Ultrasonic processing for food and liquid separation RF plasma and electrolysis for water detoxification CFD modeling of complex multiphase systems Non-thermal food preservation technologies Membrane fouling control via ultrasonic vibrations Current projects include synergistic plasma-ultrasound water treatment, RF electric fields for food sterilization, and novel freeze-drying techniques. His work bridges engineering principles with practical industrial applications, emphasizing sustainability and innovation.

• Operating systems
• Distributed systems
• Computer Science
• +۳ مورد دیگر

Professor Willy Zwaenepoel is a distinguished academic and Dean of the Faculty of Engineering at the University of Sydney. He holds Fellowships from ACM, IEEE, and ATSE. His research focuses on distributed systems, operating systems, and experimental computer science. Previously, he spent two decades at Rice University and nine years as Dean of EPFL's School of Computer and Communication Sciences before joining Sydney in 2018. Education: BS/MS, Ghent University (1979) MS/PhD, Stanford University (1980/1984) Research Interests: His work emphasizes distributed systems and operating systems, with contributions to key-value stores, transactional systems, and large-scale graph processing. Recent projects include optimizing geo-replicated systems and improving datacenter scheduling efficiency. Articles Trends: Recent publications address OS scheduling (Nest), distributed graph mining (Tesseract), and transactional systems' performance limits. He explores hardware-software co-design for multicore systems and energy-efficient data centers. Awards: Fellow of ACM (2021) Fellow of IEEE (2020) Fellow of ATSE (2019) Grants & Advising: Active grants include adaptive key-value store research (2021) and large-graph processing systems (2018). He advises PhD students and postdocs on distributed systems and storage challenges. Labs/Teams: Leads the Sydney systems research group focusing on scalable distributed systems and cloud infrastructure.

Mark Uttingمشاهده پروفایل

دانشیار

• Software Verification
• Model-Based Testing
• Formal Methods
• +۵ مورد دیگر

Associate Professor Mark Utting is affiliated with the University of Queensland (UQ), specifically within the School of Electrical Engineering and Computer Science. He holds the rank of Associate Professor and focuses on software verification, model-based testing, and programming language design. His academic journey includes roles at multiple Queensland universities, Waikato University (NZ), and the University of Franche-Comte (France). He earned his PhD from UNSW on object-oriented language semantics. Utting has authored over 80 publications and the book 'Practical Model-Based Testing: A Tools Approach.' His current research emphasizes verifying compilers, blockchain smart contracts, ARM64 binaries, and AI-generated code. Key projects include the Algorand Centre for Sustainability Informatics and the BASIL project on secure information-flow logics. His research spans formal methods, theorem proving, and software engineering. Utting leads supervision in areas like compiler verification and smart contract analysis, with active involvement in grants such as the 'Directed and Incremental Analysis for DevSecOps' project. Utting collaborates on interdisciplinary projects, including energy grid simulations and cybersecurity strategies. His work bridges academia and industry, with past experience in genomics and manufacturing software development.

• Mechanical Engineering
• Dynamic Systems
• Signal Processing
• +۱۰ مورد دیگر

Md Imam Hossain is a Tutor at the Faculty of Engineering & Information Technology , University of Technology Sydney. He holds a Bachelor of Mechanical Engineering and a Master of Engineering (Research) from UTS. His work focuses on mechanical design, dynamic systems, and biomechanics applications in sports safety. Education : B.Mech.Eng., M.Eng.(Res) (UTS) Teaching : Courses in Mechanical Vibration, Dynamic Systems, and Control Research Areas : Mechanical design, signal processing, sports biomechanics, impact attenuation, simulation modeling Hossain's research integrates mechanical engineering with biomechanics , particularly in greyhound racing and trampoline dynamics . His publications demonstrate expertise in sensors , numerical modeling , and sports infrastructure optimization . Key article trends include: Quantifying g-forces and injury risks in greyhound racing Dynamical modeling of trampoline park safety Simulation platforms for multi-variable motion analysis Software-defined network implementations Acceleration and jerk analysis in animal locomotion Impact attenuation material testing He contributes to industry projects through funded research in system automation , data acquisition , and software development for mechanical systems.

Adnan Sufianمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Granular Materials
• Internal Erosion
• +۳ مورد دیگر

Academic Profile Dr. Adnan Sufian is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, University of New South Wales (UNSW Sydney). He holds a PhD (2017) and BE (2012) in Civil Engineering from UNSW, with research visits to MIT. Prior academic roles include positions at Imperial College London and the University of Queensland. He also has industry experience at SMEC Australia on major infrastructure projects. Research Focus Dr. Sufian specializes in multi-scale mechanics of granular materials, investigating fluid-particle interactions through computational (DEM, CFD-DEM), experimental, and theoretical approaches. His work addresses geotechnical challenges including erosion, landslides, and contaminant transport, with applications in infrastructure, environmental management, and industrial processes. Current projects focus on internal erosion in dams, particle migration, and climate-resilient infrastructure. Publications & Trends Recent articles (2019-2025) demonstrate strong emphasis on granular material behavior under hydraulic/mechanical stresses, featuring advanced computational techniques like pore-network modeling and coupled CFD-DEM. Key themes include internal erosion mechanisms, filtration dynamics, soil-fluid interactions, and microstructural analysis. Publications consistently appear in top geotechnical journals including Geotechnique and Computers and Geotechnics . Awards & Recognition Best Paper Award (Early Career Researcher), Australasian Conference on Computational Mechanics (2019) Best Paper Award (Postgraduate Student), Australasian Conference on Computational Mechanics (2015) UNSW Geotechnical Discipline Prize (2011) Grants & Projects ARC Discovery Early Career Researcher Award (2024-2026): Predicting internal erosion in dams using real-time coupled experiments ARC Early Career Industry Fellowship (2023-2026): Safeguarding dams/levees from internal erosion NSERC Alliance Award (2023-2024): Internal erosion in hydroelectric dams (with Zheng) Research Leadership Supervises HDR projects on transport processes in granular media, particle shape effects on erosion, and flood-impacted infrastructure. Collaborates with physicists and mathematicians to study emergent granular phenomena. Co-organizes the European Working Group on Internal Erosion Symposium and holds memberships in the Australian Geomechanics Society and Engineers Australia.

• Nonlinear Control Systems
• Aerospace Engineering
• Flexible Wing Dynamics
• +۵ مورد دیگر

Aditya Paranjape is an Associate Professor in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. His research spans nonlinear control systems, aerospace dynamics, and multi-agent robotics, with applications in flexible wing control, digital twins, and resilient team coordination. Research Interests: His work focuses on nonlinear control of infinite-dimensional systems , particularly in modeling and stabilizing very flexible wings. He also investigates distributed control in robotic teams , including adversarial disruptions and communication constraints. Additionally, he applies modeling and simulation techniques to real-world problems such as climacteric fruit supply chains through digital twin frameworks. Recent Research Trends: Over the past few years, his publications reveal a growing emphasis on boundary control for aeroelastic systems , digital twin integration in logistics , and robustness of swarm behaviors under adversarial conditions. These reflect interdisciplinary efforts combining mechanical engineering, control theory, and computational modeling. Collaborations and Affiliations: He actively collaborates with researchers across institutions and contributes to international forums such as the AIAA SciTech Forum and IEEE CDC. His work aligns with UN Sustainable Development Goals, particularly in sustainable industry and innovation. Advising and Grants: While specific students and funding sources are not listed in the provided text, his extensive publication record and collaborative projects suggest active supervision and research leadership. He likely mentors graduate students in aerospace and control systems through thesis projects and joint publications. Labs and Research Teams: Though no formal lab name is mentioned, his research areas imply involvement in groups focused on aerospace dynamics, control systems, and modeling & simulation at Monash University. These teams likely engage in both theoretical development and practical implementation of control algorithms.

Leith Campbellمشاهده پروفایل

استاد مدعو

• Communications engineering
• Communication and media studies
• Cultural studies
• +۷ مورد دیگر

Dr. Leith Campbell is an Adjunct Professor at the School of Engineering, RMIT University, located at City Campus, Australia. His research interests span a broad range of interdisciplinary fields, including Communications engineering, Communication and media studies, Cultural studies, Clinical sciences, Education systems, Public health, Policy and administration, Political science, Cybersecurity and privacy, and Distributed computing and systems software. He maintains active engagement with academic and professional communities through his work at RMIT.

Eric Howardمشاهده پروفایل

پژوهشگر ارشد

• Quantum Physics
• Machine Learning
• Gravitational Waves
• +۴ مورد دیگر

Dr. Eric Howard is a Research Fellow at Macquarie University , affiliated with the School of Engineering , School of Mathematical and Physical Sciences , and School of Computing . His research spans interdisciplinary domains at the intersection of quantum physics, machine learning, and AI-driven systems. Key research themes include: Quantum cryptography for Industry 4.0 security Machine learning in IoT temperature sensing Adversarial AI in cybersecurity 6G wireless communication optimization Quantum information processing Deep learning for data imputation Recent publications demonstrate a focus on emerging technologies, with articles on quantum Bayesian inference , 6G signal processing , and smart city IoT systems . His collaborative work extends to blockchain-enabled supply chain visibility and generative AI applications in programming. Research collaborations span institutions in India (AIP Publishing) and Australia, with technical contributions to quantum dynamics, neural network applications, and nanosensor development.

Stuart Jamesمشاهده پروفایل

مدرس

• Music Composition
• Immersive Audio and Video
• Electroacoustic Performance Practice
• +۵ مورد دیگر

Dr. Stuart James is a Lecturer in the Composition and Music Technology program at the Western Australian Academy of Performing Arts , part of Edith Cowan University . His career spans composition, sound design, performance, and music technology development, with a focus on integrating acoustic and electronic media. Education: PhD (2015) in Spatial Audio and Synthesis Master of Arts in Creative Arts (2006) Bachelor of Music with First Class Honours (2001) Certificate in Jazz (1995) Research Interests encompass Music Composition with a blend of acoustic and electronic instruments, Immersive Audio-Visual Systems , Wave Terrain and Spectral Synthesis , and Digital Signal Processing for performance. His work explores Electroacoustic Performance Practice and Networked Music Environments . Publication Trends reflect a focus on experimental composition , interactive notation (notably iPad-based systems like the Decibel ScorePlayer), and spatial audio techniques . Collaborative projects with ensembles such as Decibel and artists like Erin Coates and Louise Devenish highlight his interdisciplinary approach. Scientific Awards include the ASME Young Composers' Competition State Finals Winner , the Dorothy Ransom Composition Prize , and nominations for Australian Music Centre Awards . Professional Contributions include founding membership in the Decibel Ensemble , managing a commercial recording studio for artists like ShockOne, and developing networked music notation software . He has supervised PhD projects on topics like meditative sonic praxis and timbre analysis .

Arti Agrawalمشاهده پروفایل

دانشیار مدعو

• Optics
• Numerical Methods
• Finite Element Method
• +۲ مورد دیگر

Arti Agrawal is an Adjunct Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS). She has been associated with UTS since 2018, initially joining with time split between her academic role and as Director of the Women in Engineering and IT programme. She is also the CEO of Vividhata Pty Ltd, a startup focused on diversity and inclusion. Dr. Agrawal earned her PhD in Physics from the Indian Institute of Technology Delhi in 2005, following an MSc (1999) and BSc Physics (Hons) (1997) from the same institution. Prior to UTS, she worked at City, University of London from 2005-2017, progressing from Research Fellow to Senior Lecturer in the Department of Electrical Engineering. Her primary research focuses on optics and photonics, specifically modeling photonic components such as solar cells, optical fibers, sensors, and lasers using numerical methods like the Finite Element Method (FEM). She is an expert in computational photonics, having authored a book on FEM and edited a book on trends in computational photonics. She serves as an Associate Editor for the IEEE Photonics Journal. Dr. Agrawal's recent publications demonstrate a strong focus on nanophotonics, particularly involving graphene and silicon carbide materials for mid-infrared applications, as well as research on diversity and inclusion in engineering education. Her work spans both fundamental photonics research and practical applications in sensor technology and optical devices. Chartered Engineer (Institution of Engineering and Technology, 2013-present) Chartered Physicist (Institute of Physics) Senior Member IEEE Senior Member Optical Society of America Board of Directors, Optical Society of America (2018) Dr. Agrawal has received research funding including a scholarship from the Defence Science and Technology Group of the Department of Defence for 'Graphene based Nanophotonics for Polarization and Photodetection Filter Design' (2019-2022). She is passionate about mentoring students and has supervised PhD and Master's students in photonics research. Her teaching interests include electromagnetics, optics, and numerical methods, and she has taught first-year undergraduate Physics, Signal Processing, and Biomedical Optics. She leads significant initiatives in diversity and inclusion in STEM, using virtual reality for training and developing evidence-based approaches for managing diverse teams. She has organized workshops including the first Pride in Photonics workshop at CLEO for LGBTQI+ scientists and allies.