جست‌وجوی استاد و پژوهشگر

• Robotics
• Automation
• Artificial Intelligence
• +۶ مورد دیگر

Jochen Hemming is a Researcher at Wageningen Plant Research , part of Wageningen University & Research . His work focuses on robotics and automation for agricultural and horticultural applications, utilizing deep learning, computer vision , and sensor systems to advance precision farming technologies. Research Interests: AI in agriculture, robotic harvesting/pruning, amodal segmentation, sensor fusion for plant detection, digital twins for agricultural robotics. Projects: TrimBot2020 (pruning robot), PeMaTo (pest monitoring), SMP25015 (digital AgTech), Robs4Crops (multi-task robots). Advising: Co-promotor for Barth R.'s PhD on sweet-pepper harvesting vision systems. Labs/Teams: Collaborates with Greenhouse Horticulture Business Unit and European consortia like Aqua IMPACT and Robs4Crops.

Lynda Hardmanمشاهده پروفایل

استاد

• Multimedia Discourse Interaction
• Augmented Reality
• User-Centric Design
• +۳ مورد دیگر

Roles: Lynda Hardman is a part-time Professor of Multimedia Discourse Interaction at the University of Utrecht's Interaction Technology group within the Institute of Information and Computing Sciences. She concurrently serves as a Research & Strategy Manager at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, leading the Human-Centered Data Analytics research group. She directs Amsterdam Data Science (ADS), fostering collaboration between academia, industry, and government in data science. Research: Hardman's work focuses on user-centric technologies, including augmented reality applications for neuroscience (e.g., Linked Brain Data), semantic web integration (LinkedTV, Fish4Knowledge), and interactive media systems. Her research bridges multimedia, AI, and human-computer interaction, emphasizing ethical digital humanism through initiatives like the Vienna Manifesto. Past projects include EventMedia, K-Space NoE, and MultimediaN/E-Culture, advancing automated media linking and user interface design. Leadership: As former president of Informatics Europe (2016-2019), she championed women's roles in informatics through the 'More Women in Informatics Research & Education' initiative. She also led EIT Digital's ICT-mediated Human Activity action line (2011-2012), promoting European ICT innovation. Publications: Her recent work explores AR tools for neuroscience literature analysis (DatAR), digital humanism frameworks, and bias in digital archives. These contributions highlight interdisciplinary approaches to technology's societal impact.

Jos H.V. den Oudenمشاهده پروفایل

پژوهشگر

• Autonomous Driving
• Internet of Things
• Mobile Networks
• +۴ مورد دیگر

Jos H.V. den Ouden serves as a Researcher and Project Manager within the Electrical Engineering department at Eindhoven University of Technology (TU/e), affiliated with the Mobile Perception Systems Lab and Video Coding & Architectures group. His work bridges mobile networking, IoT infrastructure, and autonomous vehicle systems to advance connected mobility solutions. Education: Master of Science (MSc) in Engineering (Dutch "ir." designation) from TU/e, 2007 Thesis: "Study on the misalignment properties of a pushbelt variator" Research Interests: Den Ouden specializes in applying Internet of Things frameworks to autonomous driving challenges, with emphasis on remote operation systems, pedestrian behavior prediction, and 5G network integration. His work addresses critical safety requirements in automated mobility through local breakout architectures and user interface innovations, particularly focusing on road engineering applications for cooperative vehicle systems. Publication Trends: His 2018-2026 publications demonstrate evolving expertise from experimental cooperative driving validation toward AI-driven mobility solutions. Recent work explores trustworthy AI frameworks for CCAM development, while earlier research established foundations in IoT-enabled pedestrian detection and 5G remote driving architectures, consistently addressing mobile network service optimization. Project Leadership: Den Ouden has secured funding for six major initiatives: TOWR CST (2021-2027): Project communication officer Buurauto-Noom VCA (2021-2022): Project manager 5G-MOBIX (2018-2022): Project member for cross-border CAM corridors AUTOmated driving via IoT (2017-2020): Invoice contact Vision-based Driver Assistance (2016-2019): Project member Research Environment: As core personnel in TU/e's Mobile Perception Systems Lab, he contributes to Video Coding & Architectures research while teaching Automotive Sensing and Smart Vehicles courses. His work connects with industry through press features on autonomous vehicle testing and 5G remote driving demonstrations, positioning him at the intersection of academic research and real-world mobility innovation.

Carel F.W. Peetersمشاهده پروفایل

دانشیار

• Statistics
• Bayesian theory
• Biostatistics
• +۶ مورد دیگر

Carel F.W. Peeters is an Associate Professor of Statistics at the Department of Mathematical & Statistical Methods (Biometris) , Wageningen University & Research . He previously held academic positions at Amsterdam University Medical Centers (AUMC) as Assistant Professor in Biostatistics , and during his PhD studies, he was a research fellow at VUA and research scientist at CITO . Education: M.Sc. in Statistics (with great distinction) from Katholieke Universiteit Leuven (KUL) Ph.D. in Bayesian Statistics from Utrecht University Research Focus: His work operates at the intersection of high-dimensional multivariate statistics , statistical machine learning , and complex data analysis . He develops computational methods for small-sample massive-features data to automate discovery of data-generating mechanisms, with applications in genomics , medical imaging , and social network analysis . Recent Trends: His publications demonstrate expertise in genomic prediction models , graphical modeling , high-dimensional regularization , and cross-domain data integration . Methodological innovations include rags2ridges package development and targeted penalization techniques. Technical Expertise: Bayesian theory Multivariate analysis Machine learning High-dimensional data Network analysis Statistical software development (R packages) Data science Graphical models Current Position: He serves as contact person for Biometris subdivision at Wageningen University, with physical location at Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands. His work continues to bridge theoretical and applied statistics through practical implementation of advanced methodologies.

• Computer Science
• Software Engineering
• Machine Learning
• +۶ مورد دیگر

Dario Di Nucci is a Researcher at Joint Academic Data Science (JADS), focusing on Data Analytics and Data Governance . His work intersects Computer Science , Software Engineering , and Machine Learning , with key contributions to DevOps, Infrastructure-as-Code, and Smart Contracts. Recent Publications include a 2025 review on Data Mesh architecture in ACM Computing Surveys , 2024 studies on vulnerability fix mapping in open-source repositories (ACM Transactions) and automated smart contract testing (Science of Computer Programming), and 2022 empirical analyses of linguistic inconsistencies in infrastructure-as-code (Empirical Software Engineering) and defect prediction via process metrics (IEEE Transactions on Software Engineering). These works collectively advance methodologies in code quality, security, and natural language processing. Collaborations span institutions like Vrije Universiteit Brussel and Tilburg University , with media coverage in 2023 highlighting his research in machine learning and cloud computing. He has supervised at least one PhD student (Supervised Work section) and contributed datasets like Detecting Code Smells Using Machine Learning Techniques (2018, Figshare).

Loek G.W.A. Cleophasمشاهده پروفایل

استادیار

• Model-Driven Software Engineering
• Algorithm Engineering
• Pattern Matching
• +۵ مورد دیگر

Loek G.W.A. Cleophas is an Assistant Professor in Engineering of Software-Intensive Systems at Eindhoven University of Technology (TU/e), affiliated with the Mathematics and Computer Science department. He holds an Extraordinary Associate Professorship at Stellenbosch University and has held visiting roles at TU Braunschweig (2016-2017) and Umeå University (2014-2016). His academic career includes industry collaborations with ASML and Canon, and leadership as Managing Director of the Dutch research school for Programming and Algorithmics (IPrA). Education: Both his MSc (with honors) and PhD in Computer Science and Engineering were obtained at TU/e. His research focuses on model-driven software engineering (MDSE) and algorithm engineering, with emphasis on pattern matching using finite automata and parallel processing for large datasets. Recent work includes model repository analytics, digital twin systems, and variability analysis in software product lines. Research Trends: Over 129 publications span topics like SAMOS framework for model analytics, VPDSL domain-specific languages, and taxonomy-based algorithm toolkits. His work bridges theoretical foundations with industrial applications in high-tech systems. Advising: Supervised 27 postgraduate students at Stellenbosch and TU/e. Grants/Projects: Led collaborations with ASML on model-driven virtualization, and organized international workshops like AMMoRe (2018-2020). Labs/Tools: Developed SAMOS framework for model analytics and LaMa web application for thematic labeling. Active in open-source tool development for correctness-by-construction methodologies.

Bin Shiمشاهده پروفایل

پژوهشگر ارشد

• Photonics
• Optical Communication
• Neural Networks
• +۳ مورد دیگر

Bin Shi is a Research Fellow at Eindhoven University of Technology's Department of Electrical Engineering, focusing on photonics, optical communication, and neuromorphic computing. He is a core member of the ECO Research Centre for Integrated Nanophotonics (2014–2025), contributing to next-generation optical networks and photonic integrated circuits. His research expertise includes photonic integrated circuits (PICs), semiconductor optical amplifiers (SOAs), and neural network implementations using optical systems. Key projects involve developing low-cost metro-access networks using SOA-based optical add-drop multiplexer (OADM) nodes and exploring photonic computing architectures for deep learning applications. Recent work emphasizes non-invasive characterization techniques for cascaded SOAs, software-defined electro-optical neural networks, and photonic beamforming systems. He has contributed to over 44 research outputs since 2018, with notable publications in Optics Letters and Optics Express . Shi collaborates internationally on topics like photonic neural networks and nanophotonic devices. He teaches the course 'Brain-inspired optical computation' and has been featured in media for his work on light-based neural networks.

Willem-Jan A.M. van den Heuvelمشاهده پروفایل

استاد

• Data Analytics
• Data Governance
• Artificial Intelligence
• +۵ مورد دیگر

Willem-Jan A.M. van den Heuvel is a Full Professor at Eindhoven University of Technology, specializing in Data Analytics and Data Governance. His email is W.J.A.M.v.d.Heuvel@tue.nl . He has contributed to over 55 research outputs since 1998, with a focus on synthetic data, data governance frameworks, and blockchain security. His work addresses UN Sustainable Development Goals through innovative solutions in data privacy and AI. Research interests include Data Mesh Architecture Privacy Engineering Regulatory Compliance Automated Smart Contract Testing GDPR-compliant Systems Machine Learning Operations Recent articles highlight advancements in synthetic data platforms, decentralized governance frameworks, and AI infrastructure maturity. His work has been cited 1053 times (Scopus). He teaches Data Engineering since 2018 and has supervised 5 students. Collaborations span international institutions, focusing on cybersecurity and cloud computing innovations.

• Computer Security
• Operating Systems
• Hardware Security
• +۳ مورد دیگر

C Giuffrida is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and the Systems and Network Security group. His research focuses on computer systems security, hardware vulnerabilities, and software reliability. Giuffrida holds a PhD in Computer Systems from Vrije Universiteit Amsterdam (2014). His academic contributions span multiple areas including transient execution attacks, fuzzing techniques, and hardware-software co-design for security. Research Interests: Hardware Security: Investigating vulnerabilities like Spectre, Rowhammer, and speculative execution risks. Software Security: Focusing on memory safety, compiler optimizations, and exploit mitigation strategies. Systems Research: Developing tools like BinRec for binary analysis and VPS for C++ vulnerability protection. His work has been recognized with awards such as the Distinguished Paper Award in 2021. Giuffrida supervises advanced courses in operating systems and hardware security, and has guided 16 PhD theses to completion.

Fabio Massacciمشاهده پروفایل

استاد

• Cybersecurity
• Software Security
• Security Economics
• +۵ مورد دیگر

Prof. Fabio Massacci is a Full Professor at the Faculty of Science (Computer Systems Department) and Network Institute of Vrije Universiteit Amsterdam. He concurrently holds a part-time professorship in Computer Science at Università degli studi di Trento. His research focuses on cybersecurity, software supply chain risks, security economics, and experimental methods for vulnerability analysis. He earned a PhD in Computer Science from La Sapienza University of Rome (1998). Research interests include software ecosystem security, malware analysis, security policy design, and risk assessment frameworks. Notable contributions include the 2015 IEEE RE Ten Years Most Influential Paper Award for work on socio-technical security systems. Recent studies explore AI in vulnerability detection, cloud configuration security, and GDPR compliance in educational institutions. Teaching responsibilities include courses on Security and Safety Engineering, Security Experiments, and Data Structures for AI. Key projects include the HEWSTI initiative (Hybrid Explainable Workflows for Threat Intelligence) and studies on cybersecurity training in European education programs. Collaborations span global institutions, with datasets published on Zenodo and IEEE DataPort.

• Asset Management
• Sustainability
• Maintenance Engineering
• +۵ مورد دیگر

Giacomo Barbieri is an Assistant Professor in the Asset Management & Maintenance Engineering department at the University of Los Andes . His research focuses on strategic asset management, sustainability, and digital transformation in maintenance systems. He contributes to UN Sustainable Development Goals related to environmental sustainability and responsible consumption. Key research areas include value-based decision-making frameworks for asset management, integration of sustainability metrics into maintenance strategies, and application of digital twins and smart technologies in manufacturing and agriculture. Notable projects include the AgroLab initiative for urban agriculture research and education, and development of middleware solutions for smart retrofitting in industrial systems. Barbieri has organized conferences like the 5th IFAC Workshop on Advanced Maintenance Engineering (AMEST 2022) and chairs the IFAC Technical Committee on Manufacturing Plant Control (TC 5.1). His work emphasizes interdisciplinary approaches, combining engineering principles with environmental and economic considerations.

• Formal Methods
• Model-Based Testing
• Process Algebra
• +۴ مورد دیگر

Ed Brinksma is a Researcher in the Formal Methods and Tools department at the University of Twente. His work focuses on formal methods, model-based testing, process algebra, and real-time systems verification. He has contributed to foundational research in temporal logic, concurrent systems, and formal verification techniques, with over 148 publications. Brinksma has been actively involved in international conferences and workshops, delivering invited talks on topics like model-based testing and verification methodologies. His research collaborations span theoretical advancements and practical applications in embedded systems, safety-critical systems, and industrial software validation. Key research areas include: formal semantics of concurrent systems, automated test generation frameworks (e.g., Torx), and integration of formal methods with real-time systems. He has edited books and special issues on topics like process algebra and stochastic systems modeling. Brinksma's work bridges theoretical computer science with practical engineering challenges, emphasizing rigorous validation approaches for complex systems. He has supervised 18 academic works and participated in 38 professional activities including keynote lectures at major venues. His research network includes collaborations with institutions globally, particularly in Europe, focusing on probabilistic systems modeling and verification challenges.

• Mathematics Education
• Computational Thinking
• Formal Methods
• +۳ مورد دیگر

Mark Timmer is an Associate Professor at the University of Twente, affiliated with the ELAN Teacher Development department. He holds a PhD in Efficient Modelling, Generation and Analysis of Markov Automata (2013), an MSc in Science Education and Communication (2011), another MSc in Computer Science (2008), and a BSc in Telematics (2005), all from the University of Twente. His research spans computational thinking in mathematics education, formal methods in computer science, and curriculum development. He has received awards including the IPA Dissertation Award (2013) and Overijssel PhD Award (2014). His work emphasizes integrating computational thinking into secondary education, particularly through algorithmic concepts like Dijkstra’s algorithm and K-means clustering. He also explores formal verification techniques for probabilistic systems, contributing to the analysis of Markov automata. Timmer actively participates in international educational initiatives, such as the ICME-15 congress, and collaborates with educators to improve teaching methods. Publications highlight his dual focus on theoretical computer science (e.g., confluence reduction in Markov models) and practical educational applications (e.g., lesson study implementations). He has authored book reviews and contributed to educational journals, emphasizing pedagogical innovation and critical analysis of teaching materials.

• Software Engineering
• Machine Learning
• Software Testing
• +۵ مورد دیگر

Dr. Kwabena Bennin is an Assistant Professor in the Information Technology Group at Wageningen University & Research. His expertise spans software engineering, machine learning, and software quality assurance. He holds a PhD in Computer Science from City University of Hong Kong and a BA (Hons) in Computer Science and Statistics from the University of Ghana. His research focuses on applying AI to software engineering tasks, including defect prediction, automated testing, and software analytics. He has conducted extensive studies on machine learning applications in agriculture, such as plant disease detection using deep learning. Bennin also explores recommender systems for sustainable online food choices and has experience in distributed software development methodologies. He has over 40 international publications and has worked as a Postdoctoral researcher at Blekinge Institute of Technology and a Data Science Consultant at Ericsson. His current projects include developing socio-technical decision support systems for healthy and sustainable food choices in online shopping platforms. Key Skills: Software Architecture, Empirical Software Engineering, Precision Agriculture Analytics Education: PhD in Computer Science, City University of Hong Kong BA (Hons) in Computer Science and Statistics, University of Ghana His work integrates technical innovation with real-world applications, addressing challenges in both software systems and agricultural technology domains.

Madeleine Gibescuمشاهده پروفایل

استاد

• Energy Transition
• Sustainable Development
• Power Systems
• +۲ مورد دیگر

Prof. Madeleine Gibescu is a Professor at Utrecht University's Faculty of Geosciences, affiliated with the Copernicus Institute of Sustainable Development in the Department of Energy and Resources. Her research focuses on energy transition pathways, sustainable development, power systems optimization, and renewable energy integration. She leads major projects like WIMBY (Wind in My Backyard) exploring social acceptance of large wind installations and E-Regio developing local energy markets. Her research interests concentrate on developing resilient energy infrastructure, grid modernization, and market mechanisms for renewable integration. She investigates optimization techniques for electricity markets, offshore wind systems, and smart grid technologies with emphasis on SDN-enabled IoT networks and virtualization of grid control systems. Gibescu's recent publications demonstrate strong trends in renewable energy systems optimization, particularly focusing on offshore wind integration, market design for variable renewables, grid resilience, and storage solutions. Her work consistently incorporates advanced computational methods including deep learning forecasting, robust optimization, and virtualization frameworks. She advises PhD candidates including Hsing-Hsuan Chen, Luis Eduardo Ramirez Camargo, and Leanda Vedder on projects related to sustainable energy systems. As principal investigator for Horizon Europe projects, she coordinates interdisciplinary teams developing novel solutions for energy transition challenges.