جست‌وجوی استاد و پژوهشگر

Diederick Luttersمشاهده پروفایل

استاد

• Manufacturing Engineering
• Sustainable Packaging
• Product Design
• +۳ مورد دیگر

Diederick Lutters is a Full Professor at the University of Twente, specializing in Information-driven Product Development & Engineering. He holds an external position as Professor Extraordinary at the University of Stellenbosch. He earned his PhD (2001) and Master's (1993) degrees in manufacturing-related fields from the University of Twente. His research focuses on sustainable manufacturing processes, product design methodologies, and decision-making frameworks in industrial contexts. Key areas include digital twinning for SMEs, sustainable packaging solutions, and lifecycle assessment-driven design strategies. His work aligns with UN Sustainable Development Goals related to economic and social development. Recent publications emphasize innovative approaches to manufacturing challenges, such as optimizing HMLV production and integrating PLM systems into educational environments. He actively supervises student projects, examining theses on topics like uncertainty management in design and electrification of transportation systems. Dr. Lutters collaborates internationally, contributing to research networks exploring manufacturing efficiency and sustainable technologies. His expertise bridges theoretical frameworks with practical industrial applications.

René Torenvliedمشاهده پروفایل

استاد

• Public Policy
• Public Management
• Local Government
• +۵ مورد دیگر

René Torenvlied is a Full Professor at the University of Twente, holding roles in both the Public Administration and Digital Society Institute departments. He holds a PhD in Sociology (cum laude) from the University of Groningen (1996) and a Master's in Political Science (cum laude) from the University of Amsterdam (1991). His research focuses on public policy, governance, and the application of technology in public services, with notable contributions to cross-border cooperation, crisis management, and evidence-based policy implementation. He has organized international conferences, served on advisory boards, and collaborated on projects in China and Indonesia. Key research areas include local government dynamics, AI integration in public administration, and health care system optimization. Recent work explores democratization effects in Indonesia and the adaptation of Western social innovations in China. He has received prestigious awards such as the Kooiman Award (2012) and Media Prize (2016). His activities include advising the Twente Region Executive Board and chairing committees at the Dutch Sociological Association (NSV). Notable outputs include reports on AI applications in forensic care and evidence-based policy in healthcare (JenV), emphasizing data-driven decision-making and institutional collaboration. He remains active in fostering international research networks and policy evaluation initiatives.

• Agriculture
• Food and Soils
• Data Science
• +۶ مورد دیگر

Dr. Florian J. Ellsäßer is an Assistant Professor in the Department of Natural Resources. His research focuses on climate science, environmental monitoring, and agricultural sustainability. He specializes in using UAV-based remote sensing, machine learning, and geospatial analysis to study evapotranspiration patterns, tropical ecosystems, and crop productivity. His work contributes to UN Sustainable Development Goals related to climate action, food security, and biodiversity conservation. Notable projects include the Resilient Approaches in Natural Geland Ecosystems initiative (2024–2028), exploring mitigation strategies for environmental challenges. He has published extensively on compound weather events, UAV applications in precision agriculture, and stakeholder-driven water-energy-food nexus solutions in Jordan. His datasets on German crop yields and tropical rainforest dynamics are widely utilized in academic research. Ellsäßer's methodological contributions include developing the QWaterModel QGIS plugin for evapotranspiration prediction and integrating thermography with 3D modeling for ecological studies. His interdisciplinary approach bridges environmental science, data science, and policy analysis to address global sustainability challenges.

• Biomechanics
• Sports Medicine
• Inertial Sensor Technology
• +۳ مورد دیگر

Jasper Reenalda is an Associate Professor at the University of Twente, affiliated with the Biomedical Signals and Systems department. His research focuses on biomechanics, inertial sensor technology, and injury prevention in sports. He has published extensively on topics like orientation estimation using IMUs, running mechanics, and fatigue analysis. He received the Fulbright Research and Lecture grant (2015-2016) and an Honorable Mention at CHI 2024 for work on training load management practices. Reenalda has contributed to open-source tool development, such as the DFOD toolbox for drift-free orientation estimation, and datasets like the PerfectFit project. His work integrates wearable sensors and machine learning to analyze movement patterns and improve athletic performance. Recent studies include quantifying bone load in runners and evaluating the impact of sampling frequency on injury risk assessment. He has presented at multiple conferences and collaborated internationally on projects like the PerfectFit virtual coach system for health interventions. His research aligns with UN Sustainable Development Goals related to health and well-being, emphasizing technology-driven solutions for sports medicine and rehabilitation.

Heike Trautmannمشاهده پروفایل

استاد

• Data Science
• Evolutionary Optimization
• Social Media Analytics
• +۴ مورد دیگر

Heike Trautmann is a Full Professor of Data Science: Statistics and Optimization at the University of Münster, holding dual appointments in Datamanagement & Biometrics and the Digital Society Institute. She directs the European Research Center of Information Systems (ERCIS). Her academic journey includes a PhD (2004) and Habilitation (2013) in Statistics from Universitat Dortmund, focusing on optimization methodologies. Her research spans evolutionary optimization, machine learning, and algorithm selection, with applications in multi-objective problems and social media analytics. Recent work emphasizes deep learning-driven exploratory landscape analysis and hybrid algorithms for complex optimization challenges. Education: Habilitation in Statistics (2013): Universitat Dortmund PhD in Statistics (2004): Universitat Dortmund Master in Statistics (2000): Universitat Dortmund Her research interests prioritize advancing optimization techniques through interdisciplinary approaches, particularly leveraging machine learning for algorithm configuration and performance analysis. Collaborations highlight global networks addressing computational challenges in continuous and mixed-variable spaces. As ERCIS director, she drives innovation in information systems and societal impact through data science.

Luiz Boninoمشاهده پروفایل

دانشیار

• Computer Science
• Semantic Interoperability
• Ontology Engineering
• +۳ مورد دیگر

Luiz Bonino is an Associate Professor at Leiden University Medical Center and an International Technology Advisor at GO FAIR International Support and Coordination Office. He holds a PhD in Computer Science from the University of Twente (2011), specializing in semantic service provisioning. His research focuses on ontology engineering, semantic interoperability, and FAIR data principles, with applications in healthcare and distributed data systems. Key research interests include ontology development, cybersecurity in data systems, service-oriented computing, and the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) principles across domains. He contributes to initiatives like the Personal Health Train architecture and the FAIR Data Point framework, emphasizing distributed data platforms and metadata standards. Recent publications highlight work on large language models for ontology creation, interoperability challenges in healthcare data, and methodological frameworks for FAIRification. Bonino has organized conferences like the 2024 FOIS workshop and contributed to datasets such as the FAIRDataTeam/FAIRDataPoint project. He actively promotes FAIR principles through workshops and collaborative projects.

Alexander Wandlمشاهده پروفایل

دانشیار

• Urban Planning
• Urban Design
• Environmental Science
• +۵ مورد دیگر

Dr. Alexander Wandl is an Associate Professor at the Faculty of Architecture and the Built Environment , Delft University of Technology (TU Delft), affiliated with the Department of Urbanism and the Environmental Technology and Design section. He is a core member of the Circular Built Environment Hub and applies an extended territorial metabolism approach to sustainable urbanism across multiple spatial scales. PhD in Urbanism (TU Delft), European Postmaster in Urbanism (TU Delft, IUAV Venice, UPC Barcelona, KU Leuven), and MSc from BOKU Vienna His research interests span urban and regional planning , urban design , and environmental sciences , with a focus on the spatial dimension of circularity transitions in cities. He integrates methods from landscape architecture , spatial data science , and participatory design , emphasizing infrastructure resilience and peri-urban development . Recent publications (2022-2024) demonstrate his expertise in territorial metabolism , circular construction hubs , and spatial data-driven sustainability assessments . His work has been funded by EU Horizon 2020 through the REPAiR and Circular Built Environment Hub projects, with significant contributions to urban heat island mapping and regenerative city frameworks . He developed interdisciplinary education programs (on-campus and online) to train future circular economy advocates and serves on the editorial board of Planning Practice and Research . His practical background in Vienna's local politics informs his approach to public participatory urban design .

Evangelos Kanoulasمشاهده پروفایل

استاد

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Evangelos Kanoulas is a Professor at the Informatics Institute, University of Amsterdam. He holds a PhD in Computer Science from Northeastern University, Boston, USA (2010). His research focuses on information retrieval, machine learning, natural language processing, and conversational systems. He has made significant contributions to topics such as adversarial attacks in retrieval systems, knowledge-enhanced recommendation, and large language model applications in legal and product search domains. Education: PhD in Computer Science (Northeastern University, 2010). His work often bridges theory and practice, addressing challenges in robust retrieval, conversational AI, and multimodal systems. He has organized workshops such as ALTARS (Augmented Intelligence in Technology-Assisted Review Systems) and KEIR (Knowledge-Enhanced Information Retrieval), highlighting his role in advancing interdisciplinary research. Research interests include adversarial machine learning, conversational search, and AI-driven systems for legal and e-commerce domains. His recent work explores efficient training of large language models, robustness against typos, and generative models for query rewriting. His publications span top venues like SIGIR, ECIR, and ACL, with a focus on practical applications of NLP and IR. Despite no explicit mention of awards, his prolific publication record and leadership in organizing conferences reflect his academic impact.

• Educational Sciences
• Teacher Education
• Experiential Learning
• +۳ مورد دیگر

Frank Cornelissen serves as Professor of Innovation in Education at the University of Amsterdam's Faculty of Social and Behavioural Sciences, specializing in Educational Sciences. His work bridges theoretical research and practical applications in contemporary educational challenges. His research portfolio demonstrates deep engagement with: Teacher education dynamics, particularly for second-career professionals Experiential learning design in higher education and legal contexts Online/blended learning effectiveness and implementation strategies Knowledge transfer mechanisms in organizational training Professional identity development across career transitions Analysis of his 2023-2025 publications reveals a methodical focus on transfer of training dynamics, with particular attention to motivational antecedents and contextual factors affecting second-career teachers. His international comparative work on circular professional development models addresses systemic gaps in traditional linear approaches across Australia, England, Japan, and the Netherlands. Professor Cornelissen maintains active contributions to educational discourse through both English and Dutch-language scholarship, with recent emphasis on experiential legal education and network-driven research capacity building in school settings.

Dolly Sapraمشاهده پروفایل

پژوهشگر

• Machine Learning
• Edge Computing
• Embedded Systems
• +۸ مورد دیگر

Dolly Sapra is a researcher at the University of Amsterdam , affiliated with the Department of Computer Science under the Faculty of Science . Her work focuses on adaptive deep learning, secure neural inference, energy-efficient computing, and fault-aware systems. She received the IEEE/ACM CASES '24 Outstanding Reviewer Award . Her research spans Machine Learning , Edge Computing , and Embedded Systems , with a focus on Model elasticity for CNNs Privacy-preserving edge intelligence Power-efficient inference Transformer optimization Climate-aware computing . The 15 most recent articles highlight her leadership in adaptive neural architectures , secure multi-party inference , and sustainable computing , with applications in embedded systems and real-time environments .

Rommert Dekkerمشاهده پروفایل

استاد

• Operations Research
• Quantitative Logistics
• Supply Chain Management
• +۷ مورد دیگر

Rommert Dekker is a Professor of Econometrics (Operations Research and Informatics) at the Department of Econometrics, Erasmus School of Economics (ESE), Erasmus University Rotterdam, affiliated with ERIM since 1999. His research focuses on operations research, quantitative logistics, and IT applications in logistics systems. He leads industry-sponsored research on service logistics and co-founded the REVLOG network for reverse logistics. His work spans reverse logistics, inventory control, maintenance optimization, container logistics, and transport systems. He has held roles at Shell Research (1992-1999), publishing over 100 papers during that period. Research interests include service logistics, synchromodal transportation, spare parts management, and sustainable supply chains. He integrates quantitative methods with real-world applications, addressing challenges like container terminal optimization, wildfire risk modeling, and vaccine supply chain management. His recent work explores quantum computing applications in logistics and environmental regulations' impact on maritime networks. Awards: ERIM Impact Award (2025), OR Society Goodeeve Medal (2023) Research Initiatives: Business Intelligence, Data Analytics, Smart Port@Erasmus Grants & Partnerships: Industry-sponsored programs on service logistics, collaborations with maritime and energy sectors His publications emphasize practical impact, with over 170 articles in areas like supply chain resilience, maintenance policies, and green logistics. Current research includes real-time container yard allocation algorithms and AI-driven wildfire risk models.

M.W.N. Buxtonمشاهده پروفایل

دانشیار

• Mining Engineering
• Geosciences
• Sensor Technology
• +۳ مورد دیگر

Dr. Mike Buxton is an Associate Professor and Section Head of Resource Engineering at the Faculty of Civil Engineering and Geosciences, Delft University of Technology. He holds a PhD in carbonate sedimentology and has extensive industry experience in mining exploration, technical due diligence, and project management. His research focuses on sensor-based material characterization for mining applications, including ore-waste separation, exploration drilling, and pre-processing waste discrimination. Education: PhD in Carbonate Sedimentology (1992), Postdoctoral research at Rand Afrikaans University, followed by 16 years in the South African mining industry. Currently supervises 3 PhD students and leads EU-funded projects like REAL TIME MINING and STOICISM. Research interests include sensor technologies, mineral processing optimization, and sustainable post-mining landscapes. He is a Fellow of the Geological Society of South Africa. Recent projects: Sensor integration for real-time mining, calcined industrial minerals characterization, and material fingerprinting for process improvement. His work spans collaborations with international researchers, industry partners, and institutions like RWTH Aachen and Aalto University. Grants & Projects: European FP7 Project STOICISM (2011), Horizon 2020 REAL TIME MINING (gold ore separation), and TRIM4Post-Mining (sustainable post-mining transitions). Supervised over 15 MSc/BSc theses on topics ranging from LIBS ore analysis to hydraulic fracturing. Labs/Teams: Leads the Resource Engineering Section, collaborates on interdisciplinary teams for sensor-based mining solutions, and contributes to the European EMMEP program.

Tom Oomenمشاهده پروفایل

استاد

• Control Systems
• System Identification
• Machine Learning
• +۷ مورد دیگر

Tom Oomen is a full professor in the Department of Mechanical Engineering at Eindhoven University of Technology. He specializes in control systems, system identification, and mechatronics, with applications in precision engineering, semiconductor technology, and healthcare. His research focuses on data-driven control strategies, integrating machine learning and artificial intelligence to enhance system performance. He has held academic positions at KTH Royal Institute of Technology, The University of Newcastle, and Delft University of Technology. Recipient of the 7th Grand Nagamori Award and NWO Veni/Vidi grants. Editor roles: Senior Editor of IEEE Control Systems Letters and Co-Editor-in-Chief of IFAC Mechatronics. Research interests include advanced motion control, iterative learning control, and fault detection. He teaches courses like Advanced Motion Control and organizes post-academic courses through the Mechatronics Academy. Collaborates with industries in semiconductor equipment, printing, space technology, and healthcare. Recent articles explore topics such as random learning in ILC, nonlinear control for ventilators, and gravitational wave detection systems. Advises PhD students including Max van Meer, Max van Haren, and Koen Classens.

• Modeling and Simulation (M&S)
• Data-driven M&S
• Data analytics and visualization
• +۴ مورد دیگر

Dr. Yilin Huang is an Assistant Professor at the Faculty of Technology, Policy and Management at Delft University of Technology, affiliated with the Systems Engineering and Simulation group. She holds a PhD in Automated Simulation Model Generation from TU Delft (2013) and completed a postdoctoral fellowship from 2014–2016. Her research focuses on Modeling and Simulation (M&S) methodology, with emphasis on data-driven approaches, distributed simulation, and design for sustainability. Key application domains include transportation/logistics, smart grids, and humanitarian innovations. She teaches courses like 'Complex Systems Engineering' and 'Advanced Discrete Simulation', contributing to both academic and practical advancements in simulation-based design. Huang's work bridges disciplinary and interdisciplinary research, emphasizing the complementary nature of both. Her recent publications address energy transition planning, carbon footprint quantification, and pandemic impact analysis on maritime networks. She actively collaborates on EU projects like CIVIS and develops open-source platforms for smart grid engagement (e.g., YouPower). Her academic contributions span simulation reproducibility, IoT integration in energy systems, and policy-informed model development. She advises on intercultural internships and maintains research portals on ResearchGate and Google Scholar.

• AI-Driven Research Software Engineering (AI-RSE)
• Decision Making
• Artificial Intelligence
• +۵ مورد دیگر

Siamak Farshidi is an Assistant Professor in the Department of Information Technology at Wageningen University & Research. His research focuses on AI-driven Research Software Engineering (AI-RSE), emphasizing the integration of artificial intelligence into software development to enhance reusability, sustainability, and environmental responsibility. He holds a Ph.D. in Computer Science from Utrecht University (2020) and has held postdoctoral positions at the University of Amsterdam and Utrecht University until 2024. His research themes include technical debt management, FAIR principles compliance, and the development of AI-enhanced tools for decision-making in software ecosystems. He has contributed to projects like LTER-LIFE (digital twin ecosystems) and ENVRI-HUB Next/ENVRI-FAIR (environmental research systems). His expertise spans decision models, AI, software architecture, and scientific software frameworks. Recent work explores serverless platform selection, blockchain oracles, and conversational recommender systems. His publications reflect trends in decision support systems, FAIR-compliant frameworks, and environmental software engineering. Projects like FAIRSECO and D-VRE highlight his focus on collaborative research ecosystems and decentralized solutions. No scientific awards are explicitly mentioned, but his contributions to open-source ecosystems and environmental research are notable. He teaches courses including Software Engineering (INF32306), Generative Artificial Intelligence (INF53306), and Programming in Python (INF22306). His advising and grants are tied to projects like LTER-LIFE and ENVRI initiatives. He leads efforts in developing frameworks like FAIRSECO and Trustseco to reinforce trust in software ecosystems.