Find Academic Supervisors

Ilan AlonView profile

Professor

• International Business
• Internationalization Strategies
• Political Risk
• +5 more

Ilan Alon is a Professor of Strategy and International Marketing at the School of Business and Law, University of Agder. He holds a Ph.D. from Kent State University (USA) and has held previous research positions at Harvard University, Georgetown University, and Copenhagen Business School. His research focuses on international business, including internationalization strategies, political risk, cultural intelligence, and emerging markets. Alon is Editor-in-Chief of the International Journal of Emerging Markets and European Journal of International Management (SSCI-ranked). He collaborates with governments, NGOs, and multinational corporations such as USAID, illy, Darden, and Disney. Alon is also a frequent contributor to major media outlets like National Public Radio and the Financial Times. His research interests include franchising, blockchain-based governance, automated machine learning applications, and cross-cultural leadership. Over 150+ publications span journals like Harvard Business Review and book publishers like Palgrave Macmillan and Routledge. His recent work explores decentralized autonomous organizations, maritime risk prediction, and leadership in global virtual teams. Alon has advised on macro-level capacity development projects and firm-level international strategies. His current research integrates technology (e.g., AI, blockchain) with traditional business areas, emphasizing global innovation ecosystems and digital transformation. He has no listed scientific awards but maintains active editorial and advisory roles in international business.

• Neurological Disorders
• Psychological Injury
• Rehabilitation Studies
• +4 more

Professor Ashley Craig is a Professor of Rehabilitation Studies (Psychosocial Health) at the University of Sydney's School of Health Sciences. His academic career includes roles as Professor of Behavioural Sciences at the University of Technology Sydney (1999–2007) and leadership positions in research ethics and administration. He specializes in psychosocial aspects of spinal cord injury (SCI), neurological disorders, and assistive technologies like the Mind Switch. His work focuses on psychological adjustment, chronic pain management, and cognitive-behavioral interventions. Craig has authored over 180 publications, including books such as *Adversity after the Crash* (2019) and *Guide for Health Professionals on the Psychosocial Care of Adults with Spinal Cord Injury* (2014). He has secured over $6M in research grants and graduated 20+ postgraduate students. Research Interests: Craig's research integrates neuroscience and clinical psychology to address SCI-related challenges. Key areas include brain wave activity changes post-SCI, efficacy of cognitive-behavioral therapy, and EEG-based assistive technologies. His work on the Mind Switch, a hands-free brain-computer interface, has advanced disability technology. He also investigates post-traumatic stress and pain management in motor vehicle crash survivors. Publications Trends: Recent articles emphasize neurorehabilitation strategies, psychological resilience, and systemic reviews of interventions for SCI patients. His work bridges clinical practice and innovation, with studies on neurofeedback for chronic pain and autonomic regulation therapies. Awards: Honorary Doctorate (SWU, 2002), Editor-in-Chief (Elsevier Journal, 2007–2011) Grants: Over $6M from ARC; $3M+ from NSW Government and Motor Accident Authority (MAA) Key Projects: StoPain Trial (EEG neurofeedback for neuropathic pain), Aus-InSCI community survey (quality of life metrics) Lab/Teams: Leads the John Walsh Centre for Rehabilitation Research and collaborates with interdisciplinary teams on spinal cord injury rehabilitation and assistive technology development.

• Immunotherapy
• Melanoma Research
• Translational Oncology
• +2 more

Ines Esteves Domingues Pires Da Silva is a Senior Lecturer at the Faculty of Medicine and Health, University of Sydney, and a Cancer Institute NSW Early Career Fellow. She leads translational oncology research in the FMH Translational Research Collective, focusing on immune checkpoint therapies, tumor microenvironment dynamics, and resistance mechanisms in melanoma and lung cancer. Her research integrates clinical and molecular oncology to develop predictive biomarkers for immunotherapy response. Key interests include organ-specific treatment resistance, combination therapies, and real-world outcomes across melanoma subtypes and thoracic malignancies. Recent studies explore stromal T-cell spatiotypes, KRAS-mutant NSCLC, and seasonal toxicity patterns. Dr. da Silva's publications demonstrate consistent focus on immunotherapy optimization in advanced cancers, with 2023-2025 works highlighting biomarker discovery, treatment durability, and novel therapeutic combinations. Over 85% of recent articles address clinical translation of immune-oncology concepts. Awards & Fellowships: Cancer Institute NSW Early Career Fellowship (2022) Research Leadership: Dr. da Silva mentors graduate students including Marissa GUAN (PhD candidate studying squamous cell carcinoma metastasis) and has secured competitive grants: NHMRC Ideas Grant: Liver metastases: therapeutic opportunities (2022) CINSW Translational Program Grant: Personalized Immunotherapy Platform (2021) She co-leads multidisciplinary teams at the FMH Translational Research Collective focusing on biomarker-driven clinical trials. Current projects investigate organ-specific resistance mechanisms and next-generation immunotherapies.

• Construction Engineering and Management
• Civil Engineering
• Infrastructure Management
• +3 more

Ernest-John Ignacio is a Teaching Assistant Professor in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC) and serves as the Interim Associate Director for Corporate Relations and Industry Partnerships. He earned a B.Eng. and M.Eng. from The Cooper Union (2004–2005) and a Ph.D. from UIUC (2024). With over 11 years of industry experience in New York City construction, he teaches courses in construction engineering, management, safety, and economics. His research focuses on construction engineering and management, including cost estimation, infrastructure optimization, and smart work zones. Education: Bachelor of Engineering, The Cooper Union, 2004 Master of Engineering, The Cooper Union, 2005 Doctorate of Philosophy, University of Illinois Urbana-Champaign, 2024 Research Interests: Dr. Ignacio specializes in construction cost modeling, utility relocation optimization, noise control in infrastructure, and global engineering education collaboration . His work integrates machine learning for predictive analysis in bridge construction and explores innovative methods to reduce project delays and costs. He actively contributes to the Global Leaders in Construction Management (GLCM) program and the Industry Partners Program (IPP), fostering industry-academia partnerships. Key Contributions: His recent articles highlight advancements in smart work zones, COIL+ international learning, and utility management. These studies emphasize sustainable practices, technology-driven solutions, and global educational frameworks. Awards: American Society of Civil Engineers Outstanding Instructor Award (2019, 2021) Engineering Council Outstanding Advising Award (2020, 2024) Advising & Grants: While no specific grant details are provided, his roles in UIUC’s Corporate Relations highlight industry-funded collaborations. His advising excellence is recognized through multiple awards. Labs & Initiatives: He leads the Global Leaders in Construction Management (GLCM) initiative, advancing international construction standards and educational partnerships.

Kristina Ingrid Helena Hermann HaugaaView profile

Professor

• Cardiology
• Cardiac Imaging
• Arrhythmias
• +4 more

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 KollenburgView profile

Assistant Professor

• Artificial Intelligence
• Data-Driven Process Analysis
• Process Optimization
• +7 more

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 GlanceView profile

Adjunct Professor

• Cybersecurity
• Health Informatics
• Artificial Intelligence
• +4 more

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 DuongView profile

Senior Lecturer

• Public Policy
• Policy Transfer
• Public Sector Human Resource Management
• +5 more

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 ZemedikunView profile

Research Fellow

• Chronic Disease Epidemiology
• Econometric Modelling
• Health Services Research
• +5 more

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 GorgiView profile

Associate Professor

• Score-driven time series models
• Stochastic processes
• Forecasting economic variables
• +3 more

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
• +6 more

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 MaathuisView profile

Researcher

• Hydrology
• Water Resources Management
• Remote Sensing
• +3 more

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
• +5 more

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)
• +5 more

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
• +5 more

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.