جست‌وجوی استاد و پژوهشگر

• Nanotechnology
• Medical Engineering
• Drug Delivery Systems
• +۴ مورد دیگر

Dr. Shehzahdi Moonshi is a Postdoctoral Research Fellow at the Frazer Institute, part of the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. Her research focuses on advanced biomedical applications of nanotechnology, drug delivery systems, and regenerative medicine. She specializes in developing novel nanomaterials for therapeutic and diagnostic purposes, with a particular emphasis on cancer theranostics, atherosclerosis modeling, and stem cell therapies. Her work integrates microfluidic devices, hydrogel-based models, and biomaterials to address complex biomedical challenges. Dr. Moonshi’s research spans multiple interdisciplinary areas, including nanomedicine, biomedical engineering, and cellular therapy. Her contributions include advancements in nanoparticle design for targeted drug delivery, hydrogel-based 3D models for disease simulation, and placenta-derived mesenchymal stem cells for clinical applications. She collaborates extensively with researchers in materials science and medical imaging to innovate solutions for inflammatory diseases, cardiovascular disorders, and cancer treatment. Her publications highlight cutting-edge techniques such as 19F MRI contrast agents, dual-metal oxide nanocomposites, and polysuccinimide-based drug carriers. These studies underscore her focus on translating laboratory discoveries into clinical relevance. Dr. Moonshi is actively involved in supervising research projects and welcomes potential students to collaborate on her initiatives. While no specific grants or awards are listed, her prolific output in high-impact journals like Lab on a Chip , Biomaterials Science , and Advanced Biology reflects her significant contributions to biomedical research. Her work is pivotal in advancing nanotechnology-driven therapies and diagnostic tools for global health challenges.

Mehwish Nasimمشاهده پروفایل

مدرس

• Social Cybersecurity
• Information Warfare
• Combating Misinformation
• +۹ مورد دیگر

Mehwish Nasim is a Lecturer in Computing and Mathematical Sciences at the College of Science and Engineering, Flinders University, Australia. She holds a PhD in Computer Science from the University of Konstanz, Germany, and is actively engaged in research at the intersection of computer science and social dynamics, particularly in the domain of information integrity. Her educational background includes: PhD in Computer Science, University of Konstanz, Germany Master of Science in Software Engineering, College of Electrical and Mechanical Engineering (NUST) Bachelor of Science (Honours) in Computer Science, National University of Computer and Emerging Sciences Mehwish's research focuses on social cybersecurity , aiming to detect, analyze, and counter malicious communication strategies on digital platforms. She applies interdisciplinary methods from network analysis, machine learning, natural language processing, and agent-based modeling, drawing insights from psychology and social sciences. Her work investigates who manipulates online discourse, what techniques they use (e.g., misinformation campaigns), and how such threats can be mitigated. She leads the Network Analysis & Social Influence Modeling (NASIM) Lab , where she develops computational frameworks to study influence and manipulation in social systems. Her research extends to cyber security decision-making, health analytics, and designing technology for underserved user populations. Mehwish is also a recognized media expert and public speaker, having delivered a TEDx talk. She contributes to public discourse on data mining, information technology, and strategies to combat misinformation. She serves as topic coordinator for several courses, including: COMP8031 / COMP2031 – Data Engineering COMP8711 / COMP1711 – Database Modelling and Knowledge Engineering She is available for media and research inquiries via email.

• Mathematical Biology
• Evolutionary Biology
• Mechanistic Modelling
• +۳ مورد دیگر

Matthew Cody Nitschke is a Research Fellow at Flinders University's College of Science and Engineering, affiliated with the Global Ecology Laboratory and Ecology Evolution and Environment Research Section. His work focuses on mathematical biology and mechanistic modeling of evolutionary processes. PhD in Mathematical Sciences (University of Adelaide, 2022) MSc in Mathematics (North Dakota State University, 2010) MSc in Physics (University of North Dakota, 2005) Research spans three major domains: Mathematical Biology: Evolutionary transitions in individuality, emergence of multicellularity, and human behavior development Mechanistic Modelling: Population dynamics using ordinary differential equations and agent-based models Eco-Epidemiology: Spatial disease spread modeling with stochastic multi-patch systems His publications demonstrate expertise in: Evolutionary bottlenecks and population genetics Stochastic modeling of biological systems Agent-based simulations of social behavior Scientific recognition includes: Australian Research Council Grant Funded Research Scholarship (2017) Teaching Assistantships at University of North Dakota (2004-2005) Professional engagements: Invited talks at international conferences (2022-2024) Collaborations with experts in biology, philosophy, and ecology Current work on disease impact modeling in Aboriginal Australian populations

Paul Adam Westonمشاهده پروفایل

پژوهشگر

• Chemical Ecology
• Metabolomics
• Metabolic Profiling
• +۱۲ مورد دیگر

Paul Adam Weston is a researcher at the Gulbali Research Institute, Charles Sturt University, Australia. He is actively engaged in interdisciplinary research at the intersection of chemical ecology, metabolomics, and agricultural science, with a focus on plant–microbe–herbivore interactions and sustainable weed management. His work contributes significantly to understanding rhizosphere biochemistry, allelopathy, and the ecological roles of secondary metabolites. PhD in Entomology, Michigan State University (1986) MS in Electrical Engineering/Systems Science, Michigan State University (1981) BS in Biology, Cornell University (1979) His research interests center on chemical ecology , metabolomics , and weed science , particularly in the context of sustainable agriculture. He investigates how plants use secondary metabolites for defense, how these compounds interact with soil microbiota, and how they influence herbivore behavior—especially in dung beetles and agricultural pests. His work bridges entomology, biochemistry, and systems modeling. Recent publications highlight trends in untargeted metabolomic analysis , chemometric modeling , and volatile-mediated insect behavior . His studies often involve advanced mass spectrometry, bioinformatics, and field-based ecological assessments. He frequently collaborates with Professor Leslie A. Weston and other experts in plant science and biocontrol. Paul Adam Weston has contributed to impactful research with economic and environmental implications, including projects on livestock photosensitisation and weed suppression through competitive cropping . He is a registered HDR supervisor and has co-led multidisciplinary research initiatives. His work supports sustainable agricultural practices and contributes to the development of bioherbicides and eco-friendly pest management strategies. He is involved in several key research teams and projects at the Gulbali Research Institute, particularly those focused on rhizosphere dynamics , metabolite profiling , and biocontrol agent deployment . His lab integrates field ecology with cutting-edge analytical chemistry and data science to address real-world agricultural challenges.

• Nutrition
• Food Science
• Gut Microbiota
• +۷ مورد دیگر

Professor Harsharn Gill is a faculty member at RMIT University's School of Science. His research focuses on diet, health, and disease, with a particular emphasis on gut microbiota, metabolic syndrome, and functional foods. He holds a professorial rank and supervises research projects spanning nutraceuticals, probiotics, and antimicrobial therapies. **Research Interests**: Diet-health interactions, gut-immune health, probiotics, and the role of functional foods in chronic disease management. His work combines molecular docking studies, in vitro digestion modeling, and agricultural biotechnology to explore novel interventions for obesity, metabolic disorders, and microbial modulation. **Recent Articles**: Prof. Gill's 2025 studies on human milk oligosaccharides and infant formula revealed their anti-inflammatory roles, while 2024 research demonstrated biostimulant-enhanced hemp and strawberry functional properties. His 2023 work includes molecular studies on anti-obesity compounds targeting PPARγ and Y1R receptors. Grants/Advising : Supervised over 15 PhD projects on topics like dietary modifications, cheese microbiota, and herbal medicine efficacy. Labs/Teams : Collaborates with food chemistry and agricultural teams at RMIT, focusing on functional food development and nutraceutical innovation.

Shuang Aoمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Reinforcement Learning
• Curriculum Learning
• +۴ مورد دیگر

Mr. Shuang Ao is a Postdoctoral Research Fellow at the School of Computer Science and Engineering, University of New South Wales (UNSW Sydney). He earned his PhD from the University of Technology Sydney in January 2024. His research focuses on machine learning, reinforcement learning, and curriculum learning, with applications in robotic control and antibody drug discovery. Research Interests: Machine Learning Reinforcement Learning Curriculum Learning Graph Algorithms Optimization Techniques Recent Publication Trends: Shuang's work spans large language models for location-based recommendations, spatio-temporal forecasting, reinforcement learning frameworks, and graph algorithm optimizations. His articles address both theoretical advancements and practical applications in scalable systems and data analysis. Contact: Email: shuang.ao@unsw.edu.au

• Machine Learning
• Artificial Intelligence
• Agent-Based Modelling and Simulation
• +۷ مورد دیگر

Professor Douglas Creighton is a Deakin Distinguished Professor and Director of the Institute for Intelligent Systems Research and Innovation (IISRI) at Deakin University. With a career spanning complex systems modeling, AI, and agent-based simulation, he leads a 100-strong research team working on real-world defense, transport, med tech, and advanced manufacturing solutions. His current research program includes three pillars: systems thinking and quantitative analytics, computational intelligence, and agent-based modeling. PhD in Industrial/Systems Engineering from Deakin University Bachelor of Engineering (Systems Engineering) and Bachelor of Science (Physics) from Australian National University His research strengths include smart transport systems, simulation modeling, robotics, and data analytics. Recent publications focus on stress quantification via EEG analysis, video instance segmentation, and ethical AI implementation in rail systems. He has developed trust estimation algorithms for autonomous agents and contributed to frameworks for rural community health engagement. Scientific recognition includes: SAE Mobility Engineering Excellence Gold Award (2016) IISRI Excellence in Industry Collaboration Award (2020) Three best paper awards at IEEE conferences As a supervisor, he currently guides research on: Mental stress quantification using brain connectivity Multi-cloud decision architecture Immersive technology for Industry 5.0 repair engineers Causal loop diagram representation for public health His industry collaborations span Australian Defence, Alstom Transport, Boeing, and rail/water organizations. Current grants include projects with the Australian Electoral Commission, Flame Security International, and advanced aerial mobility research.

Milad Haghaniمشاهده پروفایل

مدرس ارشد

• Transport Safety
• Human Factors in Transport
• Crowd Dynamics
• +۴ مورد دیگر

Dr. Milad Haghani is a Senior Lecturer at the School of Civil and Environmental Engineering , UNSW Sydney , and holds an Australian Research Council (ARC) Discovery Early Career Researcher Award (DE210100440) for his work in crowd evacuation planning. He earned his PhD in Transport Engineering from the University of Melbourne and has held fellowships at the University of Sydney and University of Melbourne. His research spans transport safety, human factors, and meta-science, with particular emphasis on pedestrian dynamics and disaster preparedness. Education: PhD in Transport Engineering, University of Melbourne MSc in Transport Engineering, Sharif University of Technology BSc in Civil Engineering, Iran University of Science and Technology Research Themes: Crowd safety and evacuation modeling Transport psychology and road safety Econometric and choice modeling Meta-research and science of science Disaster mitigation and urban planning Behavioral interventions in safety Scientific Recognition: ARC DECRA Fellow (DE210100440, 2021-2024) His publications (15 most recent) cover topics including pedestrian behavior , crowd accident analysis , emergency evacuation optimization , and transport safety policy . As a DECRA Fellow, he leads projects on behavioral interventions in crowd management. His work intersects transport engineering , human psychology , and disaster response systems , with applications in urban design, public security perception, and emergency logistics. Dr. Haghani contributes to science of science through bibliometric analyses, examining research trends in fields like coronavirus studies , wildfire science , and digital health technologies . His methodological expertise spans discrete choice modeling and simulation-based research , including virtual reality applications for safety training.

Taha Hossein Rashidiمشاهده پروفایل

استاد

• Travel behaviour analysis
• Transportation planning
• Activity-based travel demand modelling
• +۸ مورد دیگر

Professor Taha Hossein Rashidi is a leading expert in Transport Engineering at the School of Civil and Environmental Engineering, University of New South Wales (UNSW), and a member of the Research Centre for Integrated Transport Innovation (rCITI). His work bridges disciplines like economics, statistics, urban design, and sustainability to advance smart-city solutions. Education : PhD, University of Illinois, Chicago (2011); MS Civil Engineering, Sharif University of Technology (2005); BS Civil Engineering, Sharif University of Technology (2003). His research focuses on travel behaviour analysis, activity-based travel demand modelling, integrated land use and transportation models, and autonomous driving technologies. He leads the rCITI Travel Behaviour Modelling Team, which includes 3 Post-docs, 7 PhD, and 3 MSc students. Recent work explores shared autonomous vehicles, social media data integration for transport models, and dynamic ride-sharing systems. His publications span topics like pedestrian demand modeling, residential relocation dynamics, and pandemic-related travel restrictions. Scientific Awards Fred Burggraf Award (TRB, 2008) Dwight Eisenhower Fellow (2008) ASCE Freeman Fellowship (2009) NSERC PDF Award (2012) Industrial RAND Fellowship (2012) Vice Chancellor’s Award for Teaching Excellence (2015, Team) Award for Engineering Education Engagement (2015, Team) Outstanding Paper (TRB Analytics Contest, 2017) He has secured over $1.2 million in research funding since 2007, including ARC DECRA and Linkage Grants. His teaching includes courses on geometric design, urban transport modeling, and transport econometrics.

• Catchment Modelling
• Urban Hydrology
• Climate Change Impact on Flood Estimation
• +۳ مورد دیگر

James Ball is an Adjunct Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a career spanning academia, consulting, and government roles, his expertise focuses on catchment modeling , urban drainage systems , and climate change impacts on hydrology. He has held positions at UNSW Australia and contributed to foundational guidelines like Australian Rainfall and Runoff . Education: Doctor of Philosophy, Master of Engineering, and Bachelor of Civil Engineering from the University of Newcastle, Australia. Research Interests: Development of catchment modeling systems for urban environments, integration of deep learning in land use/land cover classification, hydrological software calibration with genetic algorithms, and stormwater-green infrastructure interactions such as green roofs. Recent Trends: His 2024–2021 publications emphasize agent-based groundwater-society interactions , deep learning for impervious surface estimation , and hybrid machine learning methods for dam reservoir evaporation under climate change scenarios. Articles also address flood modeling accuracy , scour mitigation structures for bridges, and socio-hydrology in resource conflicts. Leadership: Editor-in-Chief of the International Journal of River Basin Management , editorial roles in Urban Water Journal , Hydrology , and Water Science and Technology . Past Vice-President of IAHR and technical editor for Australian Rainfall and Runoff . Supervision: Available for Masters and PhD student supervision . Funded Research: Projects include stormwater modeling , hydrological ensemble prediction , phosphorus release studies , and stochastic rainfall generation for flood estimation.

• Computational Epidemiology
• Public Health
• Simulation Modeling
• +۳ مورد دیگر

Dr. Ante Prodan serves as Senior Lecturer in Computational Epidemiology within the School of Computing & ICT at Western Sydney University, where he is also affiliated with the Translational Health Research Institute (THRI). His academic network extends to the University of Sydney's Brain and Mind Centre as Research Associate and Monash University's Psychiatry department as Adjunct Senior Lecturer. Additionally, he directs the charity Computer Simulation & Advanced Research Technologies, which builds global capacity in simulation technologies for health policy decisions. Dr. Prodan holds a PhD from the University of Technology, Sydney, establishing his foundation in computational methodologies. His research integrates dynamic data-driven simulation with public health applications, developing decision support systems through: Agent-based and discrete event modeling Metaprogramming techniques for complex systems AnyLogic multimethod simulation frameworks Statistical computing with R environment His work specifically targets persistent health challenges through computational epidemiology and healthcare simulation modeling. Dr. Prodan actively contributes to online education while leading global capacity-building initiatives through his charity directorship, focusing on translating advanced research technologies into practical policy tools for health and social systems worldwide.

• Bayesian Statistics
• Approximate Bayesian Computation
• Statistical Modeling
• +۶ مورد دیگر

Christopher Drovandi is a Professor at Queensland University of Technology and a Chief Investigator in the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). His research spans statistical methodology development and applications across diverse fields including ecology, biomedicine, and environmental science. Dr. Drovandi's primary research interests focus on advancing Bayesian statistical methods, particularly in the areas of: Approximate Bayesian Computation (ABC) and likelihood-free inference Synthetic likelihood methods Sequential Monte Carlo algorithms Bayesian experimental design Statistical computing for complex models His recent work demonstrates a strong emphasis on addressing model misspecification in Bayesian inference, developing robust computational methods for intractable likelihoods, and applying advanced statistical techniques to solve real-world problems in ecology, biomedicine, and environmental science. Drovandi has made significant contributions to both the theoretical foundations and practical applications of modern Bayesian statistics. Dr. Drovandi has received research funding through multiple Australian Research Council grants and collaborates extensively with researchers across disciplines. His work has been published in top-tier statistical and interdisciplinary journals including the Journal of the American Statistical Association, Bayesian Analysis, and PLOS Computational Biology.