جستجوی استاد راهنمای دانشگاهی

Giovanni Gallipoliمشاهده پروفایل

استاد

• Macroeconomics
• Applied Microeconomics
• Economic Inequality
• +۵ مورد دیگر

Giovanni Gallipoli is a Professor at the Vancouver School of Economics, part of the Faculty of Arts at the University of British Columbia. His research focuses on macroeconomics and applied microeconomics, with particular emphasis on economic inequality, labor market dynamics, firm heterogeneity, and computational methods. He holds a Ph.D. from University College London. Key professional roles include Associate Editor of the Journal of Political Economy , Faculty Associate at the Stone Centre on Wealth and Income Inequality, and membership in the CEPR and HCEO. His work bridges theoretical rigor and empirical analysis, exploring topics such as general equilibrium effects of policies, household responses to shocks, and skill dispersion across workers and firms. Notable awards include the Killam Research Prize and the Young Economist Award from the European Economic Association. His research outputs span influential journals in economics, with recent studies addressing structural transformation, digital intensity impacts, and intergenerational transfers. He actively contributes to policy discussions through affiliations with institutions like the Panel Study of Income Dynamics (PSID).

• AI & Innovation
• Digital Transformation
• Fintech
• +۵ مورد دیگر

David Shrier is a Professor at Imperial College Business School, specializing in AI & Innovation. He co-directs the Trusted AI Alliance and serves as interim Academic Director of the Centre for Digital Transformation. His work bridges academia and industry, focusing on digital transformation, fintech, and ethical AI. He holds visiting roles at MIT School of Engineering and has pioneered educational innovations, including creating highly successful online courses that generated over $1 billion in academic revenue. Founder of Trusted AI Alliance and co-developer of the Trust::Data Initiative. Interim Academic Director, Imperial's Centre for Digital Transformation. Visiting Scholar at MIT School of Engineering, collaborating on commercialization models. His research interests include AI governance, fintech innovation, cybersecurity, and data privacy. He has advised governments and organizations globally, including the European Parliament and Commonwealth Secretariat. His books, such as Global Fintech (2022) and Basic AI (2024), explore technology's societal impact. He chairs startups like Orbu.AI and serves on NASDAQ-listed GRIID's board. Recipient of the 2022 Choice Award for Global Fintech . Launched initiatives such as the Oxford Cyber Security for Business Leaders program and the UN Data Academy.

Anika Großمشاهده پروفایل

استاد

• Database Systems
• Knowledge Graphs
• Ontologies
• +۷ مورد دیگر

Prof. Anika Groß is a Professor for Database Systems and Programming at the Department of Computer Science and Languages at Anhalt University of Applied Sciences in Köthen, Germany. She holds a PhD from the University of Leipzig (2014) and has held roles as a PostDoc in strategic research at Daimler AG and as a research assistant at the Interdisciplinary Centre for Bioinformatics (IZBI). She is actively involved in academic governance, serving on the faculty council, board of examiners, and various sustainability and research data management committees. Her research focuses on database systems, knowledge graphs, and ontology engineering, with applications in environmental science, medicine, and material sciences. Education - PhD (Dr. rer. nat.) in Computer Science, University of Leipzig (2014) - Diploma in Bioinformatics, MLU Halle-Wittenberg (2007) - Postdoctoral research at University of Leipzig's Database Group (2008–2013) Research Interests Her work emphasizes temporal graphs, ontology evolution, and semantic data integration. She develops tools like Region Evolution eXplorer (REX) and contributes to projects such as AgriRestore (ecosystem restoration) and MeineWaldKI (AI-based forest monitoring). Her recent focus includes wearable device applications in healthcare and digital twins for lithium value chains. Recent Research Trends Recent publications highlight interdisciplinary applications of knowledge graphs in agriculture and environmental science, leveraging temporal analysis and machine learning for tasks like chemical transformation prediction and bladder monitoring. She also explores cross-lingual semantic annotations in medical forms and holistic clustering of linked data. Professional Roles - Executive Committee Member, GI Database Systems Group - Fellow, Institute for Technologies and Economics of Lithium (ITEL) - Co-Chair of multiple workshops including FGDB-Workshop @ LWDA 2018 and BigDS@BTW 2017 Labs & Collaborations She leads research teams in projects funded by DFG, European Union (EFRE), and ITEL, collaborating with organizations like Daimler AG and ANU. Her lab focuses on advancing database systems and interdisciplinary data science applications.

Ella Haigمشاهده پروفایل

دانشیار

• Intelligent Systems
• User Modelling and Personalisation
• Data Mining
• +۷ مورد دیگر

Ella Haig is an Associate Professor of Artificial Intelligence at the University of Portsmouth, UK, affiliated with the School of Computing within the Faculty of Technology. She is also a member of the Portsmouth AI and Data Science Centre, Future of Law, Innovation and Technology Research Centre, and Centre for Cybercrime and Economic Crime. Her academic journey includes a PhD in Computer Science from Birkbeck College (University of London), an MSc in Learning Technologies from the National College of Ireland, and a Postgraduate Certificate in Learning and Teaching from the University of Portsmouth. Her research focuses on Intelligent Systems, User Modelling, Data Mining, and Decision Support, with notable contributions to emotion recognition, machine learning, and educational data mining. Ella has published over 140 works, including articles on multimodal emotion detection and comparative analyses of AI models like GPT-3 and BERT. She actively contributes to conferences, such as the IEEE World Congress on Computational Intelligence and the International Conference on Educational Data Mining. Ella has secured grants totaling over £235,000 for projects like the KTP Citizens Advice initiative, exploring technology solutions for public services. Her work aligns with UN Sustainable Development Goals, particularly in advancing education and innovation. Notable achievements include a 2023 Best Paper Award for her research on multimodal emotion recognition systems.

Yichen Chenمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Theoretical Physics
• Medical Imaging
• +۳ مورد دیگر

Yichen (Kelly) Chen is affiliated with the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), contributing to the Centre for Mathematical Imaging in Healthcare. Her research focuses on interdisciplinary applications of mathematics and physics in healthcare, including thermal imaging for security, federated learning methodologies, and immunology risk prediction. She has collaborated on projects involving neural networks, medical data analysis, and stem cell modeling. Her work bridges applied mathematics and clinical challenges, addressing topics such as non-contact thermal imaging systems, automated object detection via infrared thermography, and pitfalls in immunotherapy-related pneumonitis studies. She has also contributed to foundational studies on human pluripotent stem cells' role in modeling neurological diseases like Alzheimer’s. Key collaborations include partnerships with institutions like the BloodCounts! consortium and involve advancements in privacy-preserving healthcare technologies.

António Nestor Ribeiroمشاهده پروفایل

استادیار

• Software Engineering
• Object-Oriented Modeling
• Program Analysis
• +۴ مورد دیگر

António Nestor Ribeiro is an Assistant Professor at the Department of Informatics, University of Minho, Portugal, and holds the role of Senior Researcher at the High-Assurance Software Centre (INESC TEC) since 2011. He earned both his MSc (1998) and PhD (2008) in Computer Science from the University of Minho. His research focuses on object-oriented modeling, program analysis, and requirements engineering for large-scale systems. He is affiliated with the High Assurance Software Laboratory Research Group and the Large Scale Distributed Systems Group. His work emphasizes software architecture reengineering, middleware development, and low-code platforms. He teaches model-driven engineering and has supervised numerous theses on microservices, distributed systems, and API platforms. Key research contributions include studies on HCI integration in software education, performance evaluation of microservices, cognitive models for usability in low-code platforms, and entrepreneurship education for informatics students. He has published in venues like HUMAN FACTORS and the EUROPEAN JOURNAL OF ENGINEERING EDUCATION. Education: PhD in Computer Science (University of Minho, 2008) Research Groups: High Assurance Software Lab, Large Scale Distributed Systems Group Teaching: Model-Driven Engineering courses His recent supervised theses address topics like microservices architecture principles, middleware integration, and API democratization platforms. He actively collaborates on industry projects, including Bosch process-support applications and telemonitoring systems for chronic diseases.

Malcolm Mistryمشاهده پروفایل

استاد مدعو

• Climate Change
• Environmental Epidemiology
• Energy Policy
• +۵ مورد دیگر

Malcolm Mistry is an Adjunct Professor at the Department of Economics, Ca' Foscari University of Venice. He specializes in climate change impacts, environmental epidemiology, and energy policy, focusing on sectors such as agriculture, health, and energy. His research integrates econometric methods, climate modeling, and large dataset analysis to assess climate-related risks and adaptation strategies. Education: PhD in Science and Management of Climate Change (Ca' Foscari University of Venice, 2017) MSc in Weather and Climate Modelling (University of Reading, UK, 2006) Bachelor of Information Technology (Indira Gandhi National Open University, India, 2004) Research Interests: Climate extremes and human health impacts Energy demand for adaptation (e.g., air conditioning) Climate datasets and modeling tools (e.g., R Climpact package) Policy-relevant assessments of climate change vulnerabilities Teaching: He teaches advanced courses on climate change economics, statistical computing (R/Python), and environmental epidemiology in PhD/MRes programs at Ca' Foscari and the London School of Hygiene & Tropical Medicine (LSHTM). Awards: His work on climate spillovers in the EU received the Best Paper Award in 2021. He leads or co-leads multiple research projects funded by the EU, UK Medical Research Council, and Belmont Forum. Grants & Collaborations: Principal Investigator: Marie Skłodowska-Curie Fellowship (MORDIC Project, 2022–2024) Co-Investigator: EXHAUSTION (EU H2020) and GA MR/V034162/1 (MRC) Consultant: Red Cross Red Crescent Climate Centre Labs & Teams: Member of the EHM Lab (LSHTM) and developer of the R Climpact package for climate extreme indices. Active in global health collaborations addressing heat-related mortality and environmental exposures.

Ruth Müllerمشاهده پروفایل

استاد

• Entomology
• Climate Change
• Vector-Borne Diseases
• +۳ مورد دیگر

Ruth Müller is a Professor of Entomology at the Institute of Tropical Medicine in Antwerp, Belgium, leading the Department of Biomedical Sciences. She is the Unit Head in Entomology and oversees the Institute’s insectarium, established in 2019 with a €1 million grant. Her research focuses on the interplay between biodiversity, climate change, and human health, particularly regarding mosquito-borne diseases. Key projects include studying vector control strategies, climate impacts on disease transmission, and collaborations with institutions like Nepal’s National Health Research Institute. Education and Early Career: Müller’s early work involved Arctic studies on UV radiation and ocean warming’s environmental risks. She has authored over 57 ISI-listed publications, 12 non-ISI documents, 9 book chapters, and a German-language book on biodiversity and climate change. Research Interests: She investigates eco-bio-social approaches to vector control, climate change’s effects on disease vectors, and interdisciplinary solutions for tropical diseases. Her work spans Europe, Africa, South America, and Asia, with a focus on malaria and dengue vectors. Recent Articles: Müller’s recent studies address topics like predatory macroinvertebrate interactions with malaria vectors, public perceptions of climate change in Nepal, and gene drive technology in mosquitoes. These reflect her dual focus on ecological and public health dimensions. Grants and Labs: The insectarium houses species like tiger mosquitoes, malaria vectors, and sandflies, enabling interdisciplinary research on tropical diseases linked to climate change. Major grants include the Flemish Government’s support for vector control projects and the European Centre for Disease Prevention and Control’s funding for VECTORNET3. Future Work: Ongoing projects include light polarization’s impact on mosquito swarms and climate change’s biodiversity-health interface, emphasizing translational research for global health solutions.

Emmanuel Giguetمشاهده پروفایل

پژوهشگر

• Computer Science
• Computer Forensics
• Natural Language Processing
• +۴ مورد دیگر

Emmanuel Giguet is a Researcher at the French National Centre for Scientific Research (CNRS), affiliated with the GREYC Laboratory (Computer Science Department) at the University of Caen, Normandy, France. He holds an HDR (Accreditation to Supervise Research) from the University of Caen (2011) and a PhD in Computer Science (1998), both focusing on multilingual natural language processing and document analysis. Roles: Cybersecurity Researcher, Communication and Scientific Mediation Adviser (GREYC Lab), Former Computer Forensics Legal Expert (2005–2015). Expertise: Digital Forensics, Natural Language Processing, Document Structure Analysis, Open Source Intelligence, Competitive Intelligence. His research spans cybersecurity, digital forensics, and NLP applications in document analysis. He co-founded Semiotime (2012), a Competitive Intelligence startup, and has contributed to tools like the GREYC Digital Investigation Platform (G'DIP). He teaches cybersecurity modules at the University of Caen, emphasizing digital forensics and information retrieval. Key Projects: Development of open-source digital investigation tools (e.g., G'DIP). Analysis of deepfake videos and forensic video forgery detection. PDF document structure extraction for financial narrative processing (FinTOC). Affiliations: GREYC Lab (CNRS UMR 6072), University of Caen. Institute for Information Sciences, University of Caen. Communication: Advises GREYC on branding and media presence, including logo guidelines, virtual backgrounds, and scientific mediation resources.

Christian Muiseمشاهده پروفایل

استادیار

• Artificial Intelligence
• Automated Planning
• Machine Learning
• +۶ مورد دیگر

Christian Muise is an Assistant Professor at Queen's University's School of Computing, part of the Faculty of Arts and Science. He holds a PhD (2014) in Artificial Intelligence from the University of Toronto, where he was advised by Sheila McIlraith and J. Christopher Beck. His research focuses on automated planning under uncertainty, combining planning with learning for applications like goal-oriented dialogue systems and multi-agent coordination. He previously held postdoctoral roles at the University of Melbourne's Agentlab and MIT's CSAIL, and was a Research Staff Member at the MIT-IBM Watson AI Lab. Education: PhD in Artificial Intelligence, University of Toronto (2014) MSc in Computer Science, University of Toronto (2009) BSc in Computer Science, Carleton University (2007) Research Interests: His work bridges automated planning and machine learning, emphasizing robustness in uncertain environments. Key areas include non-deterministic planning, model acquisition with large language models (LLMs), and human-aware planning. He explores applications in healthcare (e.g., treatment response prediction), robotics (autonomous navigation), and dialogue systems for safety-critical domains. Current projects include developing explainable planning systems and mitigating bias in AI decision-making. Awards: Scotiabank Scholar (Scotiabank Centre for Customer Analytics) Advising & Labs: Leads the Mu Lab, supervising PhD and Master's students in topics like model acquisition, dialogue systems, and planning bias. Active in open-source tools (e.g., L2P, MACQ library) to democratize planning research. Collaborates on projects like PRP Rebooted and FixMyPlan to advance FOND planning and LLM integration. Labs/Teams: Mu Lab at Queen’s University, focusing on planning under uncertainty, AI safety, and neuro-symbolic systems.

Franziska Schroederمشاهده پروفایل

استاد

• Inclusive Music Technologies
• Music Improvisation
• Accessibility in Arts
• +۴ مورد دیگر

Professor Franziska Schroeder is a prominent academic and saxophonist at Queen's University Belfast's School of Arts, English and Languages. She leads the 'Performance without Barriers' research group, focusing on inclusive music technologies for disabled communities. Her work bridges critical theory, digital performance, and free improvisation practices. Schroeder holds a PhD from the University of Edinburgh and has authored influential books like Soundweaving . She serves on prestigious panels including the UK AHRC and EU EACEA. Affiliations: Sonic Arts Research Centre (SARC), AHSS Faculty Expertise: Inclusive music tech, VR design, disability inclusion Awards: Vice Chancellor’s Research Innovation Prize (2020), HEA Fellowship Her research emphasizes participatory design with disabled communities, resulting in projects like the AHRC-funded 'Bridging the Gap' initiative. Notable outputs include VR instruments for accessibility and ethnographic studies in Brazil/Portugal. Schroeder has performed globally with figures like Evan Parker and Stelarc, blending artistic practice with academic inquiry. Recent work explores AI in creative industries and VR's therapeutic applications. She supervises PhDs in music technology and improvisation, fostering interdisciplinary collaborations. Her teaching spans 145 performance students and community partnerships.

Mahdi Jampourمشاهده پروفایل

پژوهشگر

• Computer Vision
• Artificial Intelligence
• Digital Humanities
• +۳ مورد دیگر

Dr. Mahdi Jampour is a Researcher at the Centre for the Study of Manuscript Cultures (CSMC), University of Hamburg, and a member of the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA). He holds a Ph.D. in Computer Science (Artificial Intelligence) from Graz University of Technology (2016), with postdoctoral research at Iran Telecommunication Research Center (ITRC) (2016–2017). He previously served as Assistant Professor at Quchan University of Technology (2017–2024) and led Project RFA05 (2022–2025) focusing on visual pattern similarity in written artefacts. Education: Ph.D. in Computer Science (Artificial Intelligence), TU Graz, Austria (2016) Postdoctoral Fellowship, ITRC, Iran (2016–2017) Assistant Professor, Quchan University of Technology (2017–2024) Research Interests: Dr. Jampour specializes in applying AI and computer vision to cultural heritage preservation, including palimpsest analysis, historical document digitization, and pattern recognition. His work integrates generative models, deep learning, and semi-supervised methods to address challenges in manuscript analysis and multispectral imaging. Publications Trends: Recent work focuses on generative AI for palimpsest deciphering, dataset creation for sports and cultural heritage analysis, and facial expression recognition surveys. His articles bridge computer science with digital humanities, emphasizing cultural artifact preservation through technological innovation. Awards: Kazemi-Ashtiani Award (2019) Chamran Award (2017) KUWI Prize (2015) Marshal Plan Fellowship (2015) Best MSc Thesis Award (2009) Advising & Grants: Led UWA’s Project RFA05 (2022–2025) and contributed to international preservation initiatives like the Timbuktu Manuscript Training Project. His research is supported by grants from the Iran National Elites Foundation and the Iranian Ministry of Science. Labs & Collaborations: Active in CSMC’s labs, including the Written Artefact Profiling Guide and Mobile Lab Container projects. Collaborates with institutions globally on digitization and cultural heritage safeguarding.

• Time Series Forecasting
• Decision Optimization
• Machine Learning
• +۵ مورد دیگر

Mahdi Abolghasemi is a Senior Lecturer in Statistical Data Science at Queensland University of Technology (QUT), within the School of Mathematical Sciences, Faculty of Science. He previously held academic positions at Monash University and The University of Queensland. He serves on the editorial board of the International Journal of Forecasting and reviews for journals like Scientific Reports , International Journal of Production Research , and Applied Energy . Education: PhD in Statistics (University of Newcastle). Research Interests: Time series forecasting, decision optimization, and machine learning applications in retail and energy sectors. His work focuses on hierarchical structures, systematic events, and volatility in time series data, with funded projects exceeding $900k. Notable areas include demand forecasting in supply chains, renewable energy forecasting, and decision-focused predictive analytics. His research has been recognized by awards from the International Institute of Forecasters, Australian Mathematical Society, and IEEE Computational Intelligence Society. Awards: International Institute of Forecasters Award Australian Mathematical Society Award IEEE Computational Intelligence Society Award Australian Mathematical Sciences Institute Recognition Teaching: A Fellow of the Higher Education Academy (FHEA), he emphasizes bridging theory with industry-relevant projects. Courses taught include data science, business analytics, time series forecasting, and statistical machine learning. Received the Faculty of Science Highly Regarded Early Career Teaching Excellence Award at The University of Queensland. Grants & Funding: Over $900k from national/international organizations supporting his research in forecasting and optimization. Supervision: Currently accepting research students in areas such as hierarchical forecasting, Bayesian-focused learning, inventory optimization, and energy supply chain decision-making. Research Centres: Energy Transition Centre and Centre for Data Science at QUT. Collaborations with industry partners like Sanitarium, Coles, Woolworths, Australian Energy Market Operator (AEMO), and Australian Renewable Energy Agency (ARENA).

• Artificial Intelligence in Healthcare
• Health Informatics
• Digital Health
• +۴ مورد دیگر

Professor Sandeep Reddy is a leading academic in healthcare management and digital health at Queensland University of Technology (QUT), where he heads disciplines in Healthcare Management, Health Information Management, and Health, Safety, and Environment. He co-leads the 'Health, Human Biology and MedTech' theme at QUT's Centre for Data Science. With a PhD in Healthcare Management and a medical degree, Reddy holds multiple professional fellowships, including the Australasian Institute of Digital Health and the UK Higher Education Academy. Roles: Professor, Academic Leader, Researcher, Editor Affiliations: QUT, WHO Digital Health Roster, European Academy of Translational Medicine Professionals His research focuses on AI integration in healthcare delivery, governance frameworks, and translational methodologies. Key areas include AI in chronic disease management, medical imaging, and facial recognition technology. Reddy has authored over 80 publications, including a 2024 textbook on translational AI applications. Reddy's work spans global health policy, having advised the WHO and participated in international panels. He teaches courses on health informatics, implementation science, and digital health, with over 20 years of academic and industry experience. Scientific awards and fellowships reflect his expertise: Fellow of AIDH, ACHSM, and Senior Fellow of the UK Higher Education Academy. His editorial roles include PLOS ONE, Computational and Structural Biotechnology Journal, and Frontiers in AI. Current research supervision focuses on AI in medical education, healthcare access, and explainability in AI systems. He advocates for equitable digital health solutions, addressing the rural-urban digital divide through empirical studies.

• Digital Humanities
• Text Mining
• Artificial Intelligence in Education
• +۳ مورد دیگر

Dr. Ahmed Taiye Mohammed holds a Postdoctoral research fellowship at Linnaeus University's Department of Cultural Sciences, Faculty of Arts and Humanities in Växjö, Sweden. He earned his Master's and PhD from Northern University of Malaysia (UUM) with a thesis on text anomaly detection. His research focuses on Digital Humanities (DH), AI applications in education, and computational thinking for non-engineers. He teaches courses like Digital Humanities Research Methods, Programming for DH, and AI in Healthcare. Key research projects include InKuiS (innovative cultural entrepreneurship) and AI for ISP (supporting academic writing via ChatGPT). He collaborates with Linnaeus University Centre for Data Intensive Sciences (DISA) on e-health initiatives. Recent publications explore AI in K-12 education, automated library classification, and text mining for archaeology. His work spans AI ethics, DH methodologies, and interdisciplinary applications of computational tools. Teaching responsibilities include over 10 courses at undergraduate/master's levels, emphasizing practical skills in DH technologies. Active in developing AI-based educational tools like CHAT4ISP-AI and exploring generative AI for academic writing support. Research also involves social media ecosystems, data mining practices, and satellite image classification using SVM techniques.