جستجوی استاد راهنمای دانشگاهی

• Digital Archaeology
• Computational Archaeology
• Machine Learning in Archaeology
• +۱۳ مورد دیگر

Karsten Lambers is Professor of Digital and Computational Archaeology at the Faculty of Archaeology, Leiden University, where he leads research and teaching in the application of computational methods to archaeological data. His work integrates machine learning, remote sensing, text mining, and citizen science to advance archaeological prospection and heritage management. He is affiliated with the Department of Archaeological Sciences and plays key roles in research groups and university-wide initiatives such as SAILS and ARCHON. His research interests span Digital Archaeology , Machine Learning in Archaeology , Remote Sensing , Geoarchaeology , and Human-Environment Interaction . He investigates how computational tools can extract meaningful archaeological information from large datasets, including LiDAR imagery and excavation reports. His fieldwork spans Central Europe and Latin America, with a focus on prehistoric landscapes and cultural heritage. The analysis of his recent publications reveals a strong trend toward automated detection using deep learning (e.g., R-CNN, WODAN), named entity recognition in archaeological texts (e.g., ArcheoBERTje), and citizen science integration for data validation. His work bridges archaeology with computer science, geomatics, and environmental science, emphasizing interdisciplinary collaboration and methodological rigor. His scientific awards include: Best Thesis Award (University of Zurich, 2005) EUROPA NOSTRA Award (2020, 2022) Membership in the German Archaeological Institute (since 2022) Lambers actively supervises students and leads major research projects such as ABMA, EXALT, and Heritage Quest. He has secured substantial research funding and collaborates widely with computer scientists, geophysicists, and palaeoecologists. His teaching includes digital methods, modeling, and simulation, often linked to ongoing research. He has also contributed to open educational resources and digital textbooks in archaeology. He leads or participates in several research labs and teams, including the Digital Archaeology Research Group (which he chairs), the Heritage Quest citizen science project, and interdisciplinary teams focusing on alpine terraces and Iraqi prospection. His work emphasizes the integration of digital tools into practical archaeological workflows, advocating for complementary human-computer strategies.

Jampel Dell'Angeloمشاهده پروفایل

دانشیار

• Water Governance
• Political Economy of Natural Resources
• Climate Change Adaptation
• +۳ مورد دیگر

Jampel Dell'Angelo is an Associate Professor with ius promovendi in Water Governance and Politics at the Department of Environmental Policy Analysis, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam. He holds concurrent roles as a Visiting Scholar at the University of California, Berkeley's Ecohydrology Lab, and an Environmental Governance Affiliate Scholar at SESYNC, Maryland. His research focuses on multilevel dimensions of water governance, climate adaptation in African irrigation systems, and transnational land investments' impacts. He leads the EU-funded NEWAVE project, coordinating 15 Early Stage Researchers across 10 institutions. Educated with a dual PhD in Environmental Science (Autonomous University of Barcelona) and International Cooperation (Sapienza University), he also holds advanced degrees from the LSE, Sapienza, Curtin, and the University of Siena. As Editor-in-Chief of World Development , he promotes interdisciplinary research on socio-environmental systems. His work contributes to UN SDGs related to clean water, sustainable cities, and responsible production. Research interests span water grabbing dynamics, socio-ecological resilience, and policy frameworks for equitable resource management. Recent projects address Mediterranean water scarcity solutions and the socio-political implications of global land rushes. He supervises PhD candidates exploring themes like water democracy, agrifood transitions, and environmental justice. Key contributions include pioneering analysis of 'water commons grabbing' and documenting the Global Water Grab Syndrome. His documentary work complements field research, such as Working Together: Research and Water Governance on Mount Kenya . Current projects emphasize innovative governance models and climate-resilient water management in transboundary contexts.

J.D. Jansenمشاهده پروفایل

استاد

• Systems and Control Theory
• Subsurface Flow Mechanics
• Geothermal Energy
• +۴ مورد دیگر

J.D. Jansen is a full Professor at Delft University of Technology (TU Delft) in the School of Civil Engineering & Geosciences, specializing in the Reservoir Engineering department. His research focuses on systems and control theory applied to subsurface flow mechanics, with applications in oil and gas production, geothermal energy, and induced seismicity. He actively contributes to academic networks through editorial roles, keynote presentations, and international collaborations. Active in computational geosciences (modeling, simulation, data analysis) Member of the Dutch Mining Council since 2016 Recipient of two Society of Petroleum Engineers awards in 2018 His work emphasizes optimization of subsurface processes, numerical modeling of porous materials, and seismicity mitigation. Recent publications highlight fault slip mechanics, benchmarking simulations, and stress pattern analysis in geothermal systems. Collaborations span geomechanics, reservoir engineering, and data assimilation domains. Scientific awards include: Distinguished Membership of the Society of Petroleum Engineers (2018) SPE Distinguished Achievement Award for Petroleum Engineering Faculty (2018) He leads research initiatives in induced seismicity, particularly in the Groningen Field, and contributes to model-based production optimization. Media engagements since 2020 demonstrate public outreach in energy transition topics.

Achilleas Psyllidisمشاهده پروفایل

استادیار

• Accessibility Measures
• Sustainable Urban Mobility
• Land-use and Transport Interaction
• +۸ مورد دیگر

Achilleas Psyllidis is an Assistant Professor of Urban Mobility and Director of the Urban Analytics Lab at TU Delft. He also leads the Social Urban Data Lab at Amsterdam Institute for Advanced Metropolitan Solutions and is affiliated with the LDE Centre for BOLD Cities. His roles include membership in TU Delft's Transport & Mobility Institute, the Mobility Futures Vision Team, and serving on the Executive Board of CUPUM. Education: PhD in Spatial Data Science (TU Delft, Faculty of Architecture and the Built Environment) Master of Science in Spatial Planning (National Technical University of Athens) Engineering Diploma in Architectural Engineering (National Technical University of Athens) Research Interests: Focuses on accessibility, walkability, land-use dynamics, and travel behavior. Develops computational methods for analyzing access equity, spatial segregation, and human mobility. Leads projects on sustainable urban mobility, environmental exposures, and the 15-minute city concept. Awards: CTwalk Map: Best Demo Award (ICT.Open 2024) ROUTE Ontology of Urban Transportation Entities (2015) Grants & Projects: Involved in initiatives like PERISCOPE (Social Resilience Design), Horizon2020 'Equal-Life' (Environmental Health), and SocialGlass (Urban Analytics Dashboard). Active in research collaborations across Europe and Asia. Labs & Teams: Directs Urban Analytics Lab and Social Urban Data Lab, focusing on data-driven urban solutions. Engages in interdisciplinary teams addressing mobility futures, urban health, and sustainable design.

• Gynecology
• Healthcare Management
• Medical Education
• +۳ مورد دیگر

Prof. Fedde Scheele holds the position of Full Professor at the Academic Centre for Dentistry Amsterdam (ACTA), Faculty of Science's Athena Institute, and the Network Institute. His research focuses on healthcare workforce dynamics, medical education innovations, and global health leadership development. He has supervised 25 PhD theses, contributing significantly to academic mentorship. Key research interests include nurse power structures in healthcare, non-clinical staff engagement, physician leadership in rural Indonesia, and student learning patterns through e-learning platforms. His work aligns with UN Sustainable Development Goals related to quality education and good health. Recent studies explore qualitative insights into hospital hierarchies, comparative analysis of clinical/non-clinical worker resilience, and transformative pedagogical strategies in medical training. Scheele's interdisciplinary approach bridges healthcare management, medical education technology, and global health policy. Advising: 25 supervised PhD theses (e.g., leadership development models, healthcare workforce studies). Collaborations span institutions in Indonesia and the Netherlands. Active in Athena Institute's interdisciplinary research networks and the Network Institute's digital health initiatives.

Laura Marusterمشاهده پروفایل

استادیار

• Process Mining
• Process Modelling
• Healthcare Networks
• +۵ مورد دیگر

Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.

• Marine Biogeochemistry
• Deep-Sea Ecology
• Polar Ecology
• +۳ مورد دیگر

Dr. Tanja Stratmann is a Postdoctoral Researcher at Utrecht University 's Department of Earth Sciences within the Faculty of Geosciences since July 2025, with prior affiliations at NIOZ Royal Netherlands Institute for Sea Research (2022-2025), Max Planck Institute for Marine Microbiology (2019-2022), and Ghent University (2018-2019). PhD in Marine Sciences (2018) from NIOZ/Ghent University MSc in Statistical Data Analysis (2019) from Ghent University MSc in Biology (2014) from Aarhus University Her research focuses on extreme marine environments , particularly deep-sea ecosystems and polar regions . Key areas include: Environmental impacts of deep-sea mining Benthic food web dynamics using isotopic tracers Megafaunal roles in carbon/nitrogen cycling Dissolved organic matter cycling in Arctic systems Recent work analyzes 13C, 15N, 2H tracers in sponge feeding studies (2025) and Clarion-Clipperton zone food web integrity (2023). Her databases ( BenBioDen , ProkaBioDen ) support global marine research. Scientific Recognition: Veni Laureate (2022) Open Science XS Grant (2022) Rubicon Research Fellowship (2019-2022)

• Software Engineering
• Technical Debt Management
• Software Architecture
• +۳ مورد دیگر

Paris Avgeriou is a Professor of Software Engineering at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Software Engineering and Architecture research group and serves as Editor-in-Chief of the Journal of Systems and Software . His expertise spans technical debt management, software architecture, self-adaptive systems, and embedded systems design. Avgeriou holds an office at Nijenborgh 9, Groningen, and actively advises academic institutions and funding bodies globally. Research Interests: Avgeriou's work focuses on advancing software architecture principles, technical debt lifecycle management, and the integration of AI in software engineering. His research emphasizes practical solutions for improving software quality, maintainability, and system dependability, particularly in embedded and self-adaptive contexts. Recent Contributions: Recent studies include frameworks for benefit-cost-risk decision-making in self-adaptive systems, automated technical debt management using ML, and tools for tracing architecture-related debt. He collaborates internationally, contributing to standards like the Copenhagen Manifesto for human-centered AI in software engineering. Grants & Awards: While no specific awards are listed, his editorial role and frequent conference contributions reflect recognition in the field. He chairs conference tracks and oversees workshops, fostering early-career researchers and artifact evaluation. Labs & Teams: His group is part of the Bernoulli Institute, working on platforms like SDK4ED for embedded systems and tools such as DebtViz for technical debt monitoring. The team explores intersections between systems engineering and software architecture in complex systems-of-systems.

Andrea Continellaمشاهده پروفایل

دانشیار

• Systems Security
• Malware Detection
• Privacy Leak Detection
• +۷ مورد دیگر

Andrea Continella is an Associate Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science of the University of Twente, where he contributes to the International Secure Systems Lab (iSecLab). His research focuses on systems security, particularly embedded firmware security, Android app security, malware detection, and program analysis techniques for vulnerability discovery. Ph.D. in Computer Science and Engineering, Politecnico di Milano (cum laude) Postdoctoral Researcher, Computer Science Department, UC Santa Barbara Visiting Researcher, School of Computer Science, University of Sydney Key research contributions include: Developing automated analysis techniques for embedded firmware (KARONTE, ShieldFS) Creating privacy leak detection mechanisms for mobile applications Designing ransomware defense systems using self-healing filesystems Advancing IoT security through misconfiguration detection (S3 buckets) and protocol analysis Pioneering semi-supervised methods for network traffic fingerprinting (FlowPrint) Scientific awards: Dutch Cyber Security Best Research Paper Award 2024 Runner-up USENIX Security Distinguished Reviewer Award 2024 Professional activities: Keynote speaker on firmware security (2024) Member of IPN Cyber Security Special Interest Group Oral presentations on automated vulnerability research (2023)

Irfan Ahmadمشاهده پروفایل

دانشیار

• Pattern Recognition
• Document Image Analysis
• Handwriting Recognition
• +۷ مورد دیگر

Dr. Irfan Ahmad serves as an Associate Professor in the Department of Information and Computer Science at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, where he teaches undergraduate and graduate courses in Computer Science and Software Engineering while conducting research and advising graduate students. His academic service includes committee roles on graduate studies, program development, and competitions. His research expertise centers on Pattern Recognition with specialized focus on Document Image Analysis , Handwriting Recognition , and Machine-Printed Text Recognition . He actively explores Machine Learning applications including Deep Learning and Natural Language Processing , with significant contributions across Artificial Intelligence, Computer Vision, Data Mining, Neural Networks, and Computational Linguistics as evidenced by his PeerJ subject area specializations. Recent publications reveal a strategic emphasis on adaptive deep learning architectures for document analysis, particularly generative methods for handwritten text recognition and knowledge distillation techniques. His editorial work on feature extraction and multilingual fake news detection further demonstrates applied research bridging theoretical machine learning with real-world language processing challenges. As an active Academic Editor for PeerJ Computer Science with 1,205 contribution points, Dr. Ahmad provides substantial service to the scholarly community through manuscript evaluation and editorial oversight across emerging technologies in data science and artificial intelligence.

Ralf Peetersمشاهده پروفایل

استاد

• Signal and Image Processing
• Systems and Control Theory
• Mathematical Modelling
• +۷ مورد دیگر

Ralf Peeters is a Full Professor in Mathematics of Knowledge Engineering at Maastricht University's Faculty of Science and Engineering , Department of Advanced Computing Sciences. He serves as Vice-Dean of Research and Director of the STEM Graduate School, while leading the university's team at the inter-university research school DISC and co-chairing the Mathematics Centre Maastricht. Education: PhD in Mathematics (Free University, Amsterdam, 1994) Technical Mathematics (Delft University of Technology, 1988) Research Interests span applied mathematics, systems and control theory, signal/image processing, artificial intelligence, and biomedical engineering applications. His work bridges mathematical techniques with real-world challenges in healthcare and industrial systems. Recent Publications highlight advancements in deep learning for cardiac signal reconstruction, tensor-based signal decomposition, and recurrence plot analysis. These works integrate machine learning with clinical diagnostics, particularly in electrocardiographic imaging and arrhythmia characterization. Key Collaborations: Mathematics Centre Maastricht Dutch Mathematics Platform Dutch Institute of Systems and Control Leadership Roles: Vice-Dean of Research (FSE), Director of STEM Graduate School, Head of DISC-affiliated team, and Co-Chair of Mathematics Centre Maastricht. He has supervised over 25 PhD projects, emphasizing applied research across health and industrial domains.

• Work stress
• Motivation
• Performance
• +۸ مورد دیگر

Maria Peeters is an Associate Professor at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Social, Health and Organisational Psychology. Since 2017, she has also held a part-time full Professor position at Eindhoven University of Technology. Her research focuses on sustainable employee performance in changing work environments, with particular attention to technological innovations and workplace diversity. She has published extensively on work psychology topics, with over 178 research outputs spanning her career. Dr. Peeters' research interests center around work-related well-being, motivation, performance, engagement, job crafting, work-life balance, implementation of technological innovations, and the 'three M's' (Menstruation, Motherhood, and Menopause). Her work examines how these factors influence employee motivation and performance in contemporary organizations. She has made significant contributions to understanding how human-centered work design is crucial for successful technological implementations. Her recent publications demonstrate a clear trend toward examining the intersection of technological change and employee well-being, with increasing attention to gender-specific issues in the workplace. The research shows a progression from traditional work stress studies toward more nuanced examinations of sustainable performance in digital work environments, with growing emphasis on how biological factors affect women's work experiences. Maria Peeters has contributed significantly to the field through her publications, including the second edition of 'An Introduction to Contemporary Work Psychology' (2024) which serves as a key textbook for advanced undergraduate and graduate students. Her research spans multiple domains including occupational health psychology, work-family interactions, and the impact of technological innovations on work quality. Throughout her career, Professor Peeters has maintained active collaborations with researchers across Europe and internationally, contributing to numerous multi-country studies on work psychology topics. Her research has practical applications for organizations seeking to implement sustainable work practices and improve employee well-being in rapidly changing work environments.

A.C.G. (Toine) Egbertsمشاهده پروفایل

استاد

• Clinical Pharmacy
• Adverse Drug Effects
• Pharmacoepidemiology
• +۳ مورد دیگر

Prof. A.C.G. (Toine) Egberts is a Professor of Clinical Pharmacoepidemiology and Clinical Pharmacy at Utrecht University's Faculty of Medicine. He leads the Department of Pharmacoepidemiology & Clinical Pharmacology and serves as Director of Doctoral Education at the Graduate School of Life Sciences. His career includes roles as Chief Pharmacist at UMC Utrecht and Board Member of Pharmacy Division. He earned a PharmD from the University of Groningen and a PhD from Utrecht University, specializing in clinical epidemiology. Egberts focuses on reducing drug-related harm through research in adverse effects, sustainable pharmacy practices, and optimizing medication use. With over 500 publications, he sits on editorial boards and committees like CCMO and EPHOR. His work bridges drug development and patient outcomes, emphasizing translational research. Research interests include clinical pharmacology, pharmacoepidemiology, drug sustainability ('green pharmacy'), and innovations in prescribing/monitoring. Key projects like the ROAD study address medication waste reduction, published in JAMA Oncology . Awards include the Senior Jan Glerum Award (2016) and Huizinga Penning for clinical pharmacy contributions. Teaching and mentorship are central: guided over 70 PhD students, emphasizing education in hospital pharmacy. Grants and collaborations span clinical trials, adverse event detection, and AI applications in healthcare. Active in Dutch medicines policy through advisory roles and public media engagement.

Remco M. Dijkmanمشاهده پروفایل

استاد

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +۳ مورد دیگر

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

Gonzalo Nápolesمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Cognitive Science
• +۵ مورد دیگر

Gonzalo Nápoles is an Assistant Professor at Tilburg University's School of Humanities and Digital Sciences, Department of Cognitive Science and AI. He holds a Doctoral Degree in Computer Science from Rough Cognitive Networks (2014–2017). His research focuses on AI applications in cognitive modeling, pattern classification, and neural networks with interdisciplinary applications in healthcare, finance, and social sciences. Key research areas include Fuzzy Cognitive Maps, data augmentation techniques for neuroimaging, and interpretable machine learning systems. He actively contributes to UN Sustainable Development Goals related to education and innovation. Recent work explores AI ethics, financial risk assessment using dynamic networks, and sensory processing disorder analysis through neural networks. Education: Doctoral Degree in Computer Science, 2017 (Thesis: Rough Cognitive Networks) Prize-winning research includes Best Paper Awards at CIARP 2021 and IWAIPR 2023. He collaborates internationally, hosting academic visitors and serving on multiple PhD committees. Current projects involve stock prediction using graph neural networks and fMRI data augmentation methodologies. Awards: Best Paper Award - CIARP 2021 Best Paper Award - IWAIPR 2023 Nápoles advises on PhD theses in cognitive science and AI applications. His work bridges theoretical advancements with practical implementations in healthcare, finance, and urban systems.