جست‌وجوی استاد و پژوهشگر

Kristina Ingrid Helena Hermann Haugaaمشاهده پروفایل

استاد

• Cardiology
• Cardiac Imaging
• Arrhythmias
• +۴ مورد دیگر

Kristina Ingrid Helena Hermann Haugaa is a Professor II in the Department of Cardiology at the University of Oslo. Her work focuses on cardiac imaging, arrhythmias, and genetic cardiomyopathies. She leads research on mitral valve disorders, exercise-induced cardiac changes, and cardiac remodeling in cancer survivors. Her recent studies include advancements in AI-driven cardiac imaging, gene therapy for heart failure, and risk stratification in arrhythmogenic conditions. Collaborative projects address clinical applications of echocardiography and deep learning in improving diagnostic accuracy. Research interests include: Cardiac imaging techniques (MRI, echocardiography), arrhythmogenic mechanisms, genetic cardiomyopathies (e.g., LMNA-related disorders), and exercise-cardiac interactions. Her work integrates clinical data with computational modeling to predict arrhythmic events and optimize patient outcomes. Publications highlight contributions to mitral valve prolapse research, myocardial fibrosis analysis in athletes, and guideline development for valvular heart disease. She has authored over 100 peer-reviewed articles and serves on editorial boards for journals like European Heart Journal .

Geert van Kollenburgمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data-Driven Process Analysis
• Process Optimization
• +۷ مورد دیگر

Dr. Geert van Kollenburg is an Assistant Professor in the Department of Operations Planning Accounting & Control at Eindhoven University of Technology, affiliated with the EAISI Foundational initiative. His research focuses on integrating artificial intelligence, data analysis, and process control in industrial contexts, emphasizing transparent and explainable AI models. He holds a multidisciplinary background with a BSc in Psychology, MSc/PhD in Statistics, and postdoctoral work in chemometrics and machine learning. Key research areas include data-driven process optimization in semiconductor manufacturing, chemical production, and sustainable supply chains. His work addresses challenges such as predictive modeling in multiblock process data (Process PLS), food authenticity using NIR spectroscopy, and AI explainability in medical diagnostics. He has published over 24 peer-reviewed articles, including notable contributions to Computers and Chemical Engineering , Food Control , and Sustainable Development . Teaches courses: Fundamentals of Financial Accounting, Sustainable Supply Chains, System Dynamics Supervised 6 academic works Contributed to UN Sustainable Development Goals through supply chain and environmental studies His methodologies emphasize practical applications, such as low-cost NIR spectroscopy for quality control and predictive discarding in Industry 5.0. Collaborations span academic and industrial partners globally, addressing real-world problems with holistic, data-driven solutions.

David Glanceمشاهده پروفایل

استاد مدعو

• Cybersecurity
• Health Informatics
• Artificial Intelligence
• +۴ مورد دیگر

David Glance is an Adjunct Professor at the School of Physics, Maths and Computing, specializing in Computer Science and Software Engineering at The University of Western Australia. He holds a PhD in Physiology from Imperial College London (1985), focusing on placental blood flow mechanisms. His research expertise spans Cybersecurity, Health Informatics, AI, and Cloud Computing with notable work in adversarial machine learning, deep learning applications in healthcare, and ethical AI governance. Dr. Glance has contributed to 41 research outputs and secured 15 grants, including projects on dementia screening tools for Indigenous populations and AI-driven diagnostic support systems. His research interests emphasize translating technology into clinical practice, such as diabetic foot risk calculators and cancer diagnostic tools for general practitioners. Collaborations include global health organizations and interdisciplinary teams. He has advised on Australian parliamentary submissions regarding AI ethics and human rights in technology. Dr. Glance's work aligns with UN Sustainable Development Goals related to health and innovation. Recent publications explore adversarial attacks on deep learning models, cognitive bias modification for depression prevention, and visual field analysis using deep learning. He has led grants totaling over AUD millions, including a 4-year project enhancing Indigenous cognitive assessment tools. His engagement includes submissions to parliamentary inquiries and white papers on AI governance, reflecting his commitment to technology's societal impacts.

Hang Duongمشاهده پروفایل

مدرس ارشد

• Public Policy
• Policy Transfer
• Public Sector Human Resource Management
• +۵ مورد دیگر

Dr. Hang Duong is a Senior Lecturer in Public Policy at the School of Social Sciences, University of Western Australia (UWA). With over 18 years of public sector experience in Vietnam, she completed her PhD at UWA, focusing on policy transfer and meritocracy in authoritarian regimes. Her work has been recognized with awards such as the Endeavour Leadership Award (2018) and Australia Development Scholarship (2008). Her research expertise includes policy transfer mechanisms, public sector management, and vaccination policy. Key projects include the MandEval initiative under UWA’s VaxPolLab and contributions to comparative studies of Southeast Asian vaccine mandates. She has authored a book on policy transfer in authoritarian regimes and contributed to journals such as Political Studies Review and Asia Pacific Journal of Public Administration . Dr. Duong’s academic qualifications include a PhD in Political Science (UWA), an MA in International Studies (University of Queensland), and a BA in Education (University of Da Nang, Vietnam). She is actively involved in guiding Higher Degree by Research students and has collaborated on impactful projects like the COVID-19 Response Inquiry final report . Her research aligns with UN Sustainable Development Goals, emphasizing education and institutional reforms. She employs qualitative methods to analyze governance challenges, particularly in authoritarian contexts, and explores the interplay between cultural factors and policy outcomes.

Dawit Zemedikunمشاهده پروفایل

پژوهشگر ارشد

• Chronic Disease Epidemiology
• Econometric Modelling
• Health Services Research
• +۵ مورد دیگر

Dr Dawit Zemedikun is a Research Fellow at the University of Western Australia's School of Population and Global Health, affiliated with the Cardiovascular Epidemiology Research Centre (CERC). Supported by the McCusker Charitable Foundation and co-appointed at the Victor Chang Cardiac Research Institute, his work focuses on chronic disease epidemiology, health econometrics, and electronic health record (EHR) analysis. He holds a PhD from the University of Birmingham and is a Fellow of the Royal Statistical Society. Education: PhD in Health Services Research (University of Birmingham, 2016–2019) MSc in Medical Statistics (University of Leicester, 2015–2016) Graduate Certificate in Statistics (University of Sheffield, 2014–2015) Research interests emphasize large-scale data analysis to address epidemiological and economic questions in chronic diseases. Key areas include cardiovascular epidemiology, multimorbidity studies, and predictive modeling for conditions like rheumatoid arthritis. He has secured over $1 million in grants, including National Institute for Health Research (NIHR) funding. Notable achievements include developing the RAPID predictive model for rheumatoid arthritis and leading global burden studies on stroke and neck pain. Awards include the SPGH Research Seed Funding (2024) and recognition as an Honorary Research Fellow at the University of Birmingham. He collaborates internationally on linked administrative data projects and contributes to UN Sustainable Development Goals through health systems research.

Paolo Gorgiمشاهده پروفایل

دانشیار

• Score-driven time series models
• Stochastic processes
• Forecasting economic variables
• +۳ مورد دیگر

Dr. Paolo Gorgi is an Associate Professor at the Department of Econometrics and Data Science in the School of Business and Economics at Vrije Universiteit Amsterdam. He holds a PhD in Statistics and Econometrics from the Joint Degree Program of the University of Padova and Vrije Universiteit Amsterdam (2017). His research focuses on score-driven time series models, stochastic processes, forecasting economic variables, and statistical inference in non-linear dynamic models. He is also a Partner at ACMetric B.V. since 2021. His work contributes to UN Sustainable Development Goals related to economic growth and sustainable cities. Key research interests include developing novel methodologies for time series analysis, particularly in handling non-linear dynamics and high-dimensional data. He has authored over 36 publications, including influential works on score-driven models, copula-based count models, and robust statistical estimation techniques. Teaching responsibilities include courses on Data Science Methods and Financial Econometrics . His research network spans collaborations with institutions globally, focusing on econometric applications in finance, macroeconomics, and sports analytics. He has supervised two PhD theses and actively contributes to the academic community through editorial roles and conference participation.

• Operations Research
• Applied Mathematics
• Queueing Theory
• +۶ مورد دیگر

Prof. RD van der Mei is a Full Professor in the Department of Mathematics at Vrije Universiteit Amsterdam (VU). His roles include teaching courses like Performance of Networked Systems and supervising 31 PhD theses. He holds ancillary positions as Medewerker at Centrum Wiskunde & Informatica (CWI), an unknown role at the Ministry of Defense, and co-founder of Stokhos Emergency Mathematics. His research focuses on operations research, stochastic modeling, and optimization with applications in healthcare, telecommunications, and maritime engineering. Key areas include queueing networks, machine learning integration in systems, and energy transition challenges. Recent work explores ship pipe routing for sustainable design and AI-driven suicide prevention systems. Collaborative projects include Robust, Effective and Adaptable Ship Designs for Uncertain Transition Paths and AI-BIPTO: Artificial Intelligence-Boosted Integrated Production and Transport Optimization . His work contributes to UN Sustainable Development Goals related to sustainable infrastructure and health. Research trends reflect interdisciplinary innovation: combining mathematical rigor with real-world applications in healthcare, logistics, and environmental sustainability. Over 180 publications and active participation in international research networks underscore his impact in applied mathematics and systems engineering.

Ben Maathuisمشاهده پروفایل

پژوهشگر

• Hydrology
• Water Resources Management
• Remote Sensing
• +۳ مورد دیگر

Ben Maathuis is a Researcher and Project Manager in the Department of Water Resources . His work focuses on hydrology, water resources management, and remote sensing applications in agriculture, particularly in Ethiopia. He has contributed to over 90 research outputs since 2001, with a focus on sustainable development goals related to clean water and climate action. His research interests include rainfall monitoring, irrigation scheme performance evaluation, and satellite data integration for environmental analysis. Recent studies emphasize Ethiopia’s agricultural challenges, such as small-scale irrigation efficiency and data-scarce region hydrology. Ben has collaborated on datasets like Integrating in-situ data with satellite-derived products and presented work on computational tools like ILWISpy. His contributions align with UN SDGs, addressing water scarcity and sustainable agriculture in arid regions.

• Statistical Relational Learning
• Probabilistic Reasoning
• Graph Neural Networks
• +۵ مورد دیگر

Manfred Jaeger is a Professor in the Department of Computer Science at Aalborg University's Faculty of Engineering and Science. With an extensive publication record spanning over three decades from 1993 to 2025, he has established himself as a leading researcher in statistical relational learning and probabilistic reasoning. His collaborative work extends across multiple institutions, with frequent co-authorship with researchers from Aalborg University including Kim G. Larsen, Thomas D. Nielsen, and others. Professor Jaeger's research primarily focuses on the intersection of artificial intelligence, machine learning, and probabilistic modeling. His work centers on developing methods for learning and reasoning with relational and graph-structured data, with particular emphasis on Graph Neural Networks, Bayesian Networks, and Statistical Relational Learning. His contributions span both theoretical foundations and practical applications, addressing challenges in representation learning, knowledge extraction, and uncertainty modeling in complex relational domains. Analysis of his recent publications (2020-2025) reveals a strong trend toward integrating neural approaches with traditional probabilistic reasoning frameworks. His work increasingly focuses on explainable AI within graph learning contexts, meta-path learning for heterogeneous networks, and bridging theoretical guarantees with practical implementations. Jaeger has made significant contributions to understanding projectivity in statistical relational models and developing algorithms for learning from coarse or incomplete data. Professor Jaeger has maintained a highly productive research trajectory, with numerous publications in top-tier AI venues including JMLR, Artificial Intelligence journal, UAI, IJCAI, and ECML/PKDD. He has developed influential frameworks for relational Bayesian networks and statistical relational learning, with applications spanning knowledge graph reasoning, network analysis, and decision-making under uncertainty.

• Artificial Intelligence
• Ontology Engineering
• Internet of Things (IoT)
• +۵ مورد دیگر

João Luiz Rebelo Moreira is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence, Ontology Engineering, and IoT Interoperability. His research focuses on semantic technologies, explainable AI, FAIR data principles, and their applications in healthcare, smart industries, and enterprise systems. He contributes to UN Sustainable Development Goals related to health, smart industries, and sustainable consumption. His expertise includes ontology-driven systems, machine learning workflows, and data governance frameworks. Notable achievements include the FOIS 2018 best paper award for SAREF4health, an ontology for IoT-based healthcare systems. He collaborates internationally on projects like SEMIoTICS (semantic IoT interoperability) and OpenPREDICT (FAIR workflows in drug discovery). Research Interests: Ontology Engineering, Explainable AI, FAIR Data, IoT Standards, Enterprise Architecture Key Projects: OpenPREDICT, SEMIoTICS, Personal Health Trains Collaborations: Port of Valencia IoT EWS, VODAN Brazil Health Network Publications span over 40 works in conferences like EDOC, FOIS, and ER, focusing on semantic interoperability, machine learning explainability, and IoT standardization. He actively reviews for journals and organizes workshops on ontology-driven systems and FAIR data practices. His datasets include work on FAIR protocols (Zenodo) and healthcare data management studies. Current research trends emphasize integrating AI ethics, digital product passports, and data mesh architectures for decentralized systems.

• Consumer Behavior
• Trust in Technology
• Social Influence
• +۵ مورد دیگر

Ardion D. Beldad is an Associate Professor at the University of Twente, Netherlands, specializing in consumer behavior, digital communication, and crisis management. His research focuses on trust dynamics in technology adoption, intercultural integration in academic settings, and effective crisis communication strategies. He has published extensively in journals like the European Journal of Engineering Education and SAGE Open, with over 1982 citations and an h-index of 19. Key research areas include: consumer decision-making processes, corporate social responsibility (CSR) communication effectiveness, and the impact of digital technologies on social behaviors. His work bridges theoretical frameworks (e.g., Technology Acceptance Model) with practical applications in education, health sectors, and nonprofit organizations. Recent studies explore interdisciplinary curriculum design for engineering education, factors influencing autonomous vehicle acceptance, and cross-cultural integration challenges faced by international PhD candidates. He has supervised PhD examinations in system design and evaluation methods. His research often employs mixed methods, including narrative inquiry and longitudinal studies.

Uriel Martinez Hernandezمشاهده پروفایل

مدرس ارشد

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۳ مورد دیگر

Uriel Martinez Hernandez is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Bath. He is affiliated with multiple research centers including the UKRI CDT in Accountable, Responsible and Transparent AI, The Foundry, Bath Institute for the Augmented Human, and the Centre for Bioengineering & Biomedical Technologies (CBio). His expertise spans robotics, autonomous systems, and machine learning, with a focus on tactile and vision perception, wearable assistive robotics, and human-robot interaction. Dr. Hernandez holds a PhD in Robotics and Machine Learning from the University of Sheffield (2015), an MSc in Computer Science from CINVESTAV (2008), and a BEng in Communications and Electronics Engineering from the National Polytechnic Institute (IPN) (2005). He has been a Visiting Researcher at Sheffield Robotics Laboratory since 2016. His research addresses challenges in multimodal sensor integration, robot learning, and assistive technologies for healthcare and manufacturing. His work contributes to UN Sustainable Development Goals related to Industry, Innovation & Infrastructure and Good Health & Well-being. Current research projects include multimodal human-robot collaboration systems, wearable robotics for telepresence, and AI-driven quality control in manufacturing. He has supervised over a dozen doctoral students and actively engages in interdisciplinary collaborations across engineering and biomedical fields.

Neil Hindleyمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Dynamics
• Remote Sensing
• Spectral Analysis Techniques
• +۳ مورد دیگر

Neil Hindley is a Research Fellow at the University of Bath's Department of Electronic & Electrical Engineering, affiliated with the Centre for Climate Adaptation & Environment Research (CAER). He holds a PhD in Atmospheric Dynamics from the University of Bath (2016) and an MPhys Astrophysics from Cardiff University (2011). His research focuses on Atmospheric Dynamics, Remote Sensing, and Spectral Analysis Techniques, particularly studying gravity waves and their impacts on climate systems. He leads and collaborates on projects funded by the Natural Environment Research Council (NERC), including investigations into upper atmospheric waves, stratospheric-troposphere coupling, and ionospheric variability. As a NERC Independent Research Fellow, he contributes to the UN Sustainable Development Goals related to climate action and environmental protection. Recent projects include TEAMx-FLOW (2024–2028) and SURGE (2023–2028), exploring flow dynamics and upper atmospheric wave phenomena. His work integrates satellite observations (e.g., Aeolus wind lidar) with advanced modeling techniques, such as convolutional neural networks for gravity wave detection. Notable research includes analyzing the 2019/2020 quasi-biennial oscillation disruption and the global effects of the Hunga Tonga volcanic eruption on atmospheric dynamics. Awards: NERC Independent Research Fellow (2020–present). Grants include NERC funding for multiple projects totaling over £multi-million. His research outputs span 41 peer-reviewed articles, focusing on gravity wave characteristics, hurricane intensification mechanisms, and mesosphere-lower thermosphere interactions. Collaborations span international teams and institutions, advancing understanding of Earth's atmospheric systems.

Peter Cameronمشاهده پروفایل

استاد

• Emergency Medicine
• Trauma Care
• Resuscitation
• +۴ مورد دیگر

Professor Peter Cameron is a leading academic and clinician in emergency and trauma medicine at Monash University's School of Public Health and Preventive Medicine. He serves as Director of The Alfred Emergency Academic Centre and holds leadership roles in national registries such as the Victorian State Trauma Registry and the Burns Registry of Australia and New Zealand (BRANZ). His research focuses on trauma systems, resuscitation, and emergency care innovation, with over 700 peer-reviewed publications. Professor Cameron has led 80+ research projects, including NHMRC grants and collaborations on global health initiatives. Key areas of expertise include disaster preparedness, telemedicine, and translational research. He has contributed to international organizations like the Australasian College for Emergency Medicine and the International Federation for Emergency Medicine. Awards include the NHMRC Fiona Stanley Synergy Grant (2019) for blood transfusion research. Recent work emphasizes virtual emergency care models, trauma outcomes in elderly populations, and pandemic response strategies. His projects address clinical quality improvement, resource optimization, and global health equity through partnerships in the Asia-Pacific region.

Jai Carmichaelمشاهده پروفایل

پژوهشگر ارشد

• Acquired Brain Injury (ABI)
• Psychopathology
• Suicide Prevention
• +۴ مورد دیگر

Dr Jai Carmichael is a Research Fellow in the School of Psychological Sciences at Monash University and a Clinical Neuropsychology Registrar at Peninsula Health. His work bridges clinical practice and research, focusing on neuropsychiatric consequences of acquired brain injury (ABI), suicidality, and psychopathology. He leads projects funded by Epworth HealthCare and the American Foundation for Suicide Prevention, developing clinical tools and co-designing resources for ABI patients. With over 10 peer-reviewed articles, he reviews for 15 journals and supervises Honours students. Awards include the Monash Epworth Rehabilitation Research Centre Excellence Award (2024) and the ASSBI Kevin Walsh Award (2019). Education: PhD (Clinical Neuropsychology), awarded March 2024 Bachelor of Psychology (Honours), awarded December 2018 Research Interests: Dr Carmichael explores transdiagnostic approaches to ABI-related psychopathology, using data-driven methods to classify neuropsychiatric problems. His work emphasizes clinical translation, including frameworks for assessment and predictive validity. He investigates mechanisms underlying post-ABI distress, targeting treatment strategies for self-harm and suicidality. Grants & Projects: Epworth HealthCare Innovation Grant (2025-2026) American Foundation for Suicide Prevention Grant Current project: Addressing suicidality and self-harm post-ABI through mixed-methods co-design. Awards & Recognition: Monash Epworth Rehabilitation Research Centre (MERRC) Excellence Award (2024) School of Psychological Science's Rising Star Program awardee (2024) Labs & Collaborations: Active in international workgroups on mental health assessment for people with cognitive/physical disabilities. Collaborates with institutions globally on TBI-related studies.