جست‌وجوی استاد و پژوهشگر

Paul van de Laarمشاهده پروفایل

استاد

• Urban History
• Cultural Heritage
• Port Cities
• +۷ مورد دیگر

Paul van de Laar is a Full Professor and Endowed Professor in the Department of History at the Erasmus School of History, Culture and Communication, Erasmus University Rotterdam. His work bridges academic research and public engagement, focusing on urban history, cultural heritage, and the evolution of port cities, particularly Rotterdam. His research interests include: Urban History and Waterfront Development Migration and Identity in Dutch Cities Sustainable Transitions in Culture & Societies (STiCS) Heritage & Identity (HI) Port Cities and Economic Inequality Public and Participatory Museums His publications reflect a deep engagement with the historical transformation of urban landscapes, especially waterfronts, and the sociocultural dynamics of port cities. He explores themes such as modernity, migration, and public space, often linking past developments to contemporary urban challenges. His work appears in journals like Urban Planning and Journal of Urban History , as well as in books and public-facing media. Recent articles highlight trends in: Historical urban planning and infrastructure (e.g., shipping canals, tunnels) Migration narratives and identity in Rotterdam The role of museums in community engagement Economic inequality mapped through historical waterfront development Public commemorations and media commentary on urban history He is actively involved in academic and public discourse, contributing to editorial boards, conferences, and media outlets such as NOS and RTV Rijnmond. His work in the European Journal of Creative Practices in Cities and Landscapes underscores his interdisciplinary approach. Paul van de Laar supervises academic work and contributes to research clusters including STiCS and HI. He has delivered numerous talks and presentations on Rotterdam’s past, present, and future, emphasizing the city’s evolving identity. His outreach includes public lectures, library events, and television appearances, making history accessible beyond academia.

Marco Vassenaمشاهده پروفایل

استادیار

• Security
• Programming Languages
• Cyber Security
• +۳ مورد دیگر

Marco Vassena is an Assistant Professor at the Department of Information and Computing Sciences, Utrecht University, within the Faculty of Science. He focuses on developing principled methods for building secure systems, bridging Security and Programming Languages research communities. His work applies type systems, compilers, program analysis, and verification to ensure reliable security guarantees in software systems. PhD in Computer Science from Chalmers University of Technology Visiting Assistant Professor at Stanford Postdoctoral Researcher at CISPA Helmholtz Center for Information Security Member of the CISPA-Stanford Center for Cybersecurity His research spans language-based security (constant-time programming, memory safety, information flow control), software defenses against Spectre and side-channel attacks, and WebAssembly sandboxing. He leads projects like MSWasm and Blade, targeting microarchitectural attack mitigation through formal verification and compiler design. Scientific recognition includes the Veni Grant (2023). Current projects explore speculative execution security, dynamic information flow control, and secure WebAssembly implementations.

Merel Scholmanمشاهده پروفایل

استادیار

• Discourse Analysis
• Psycholinguistics
• Computational Linguistics
• +۳ مورد دیگر

Dr. Merel Scholman is an Assistant Professor at Utrecht University within the Department of Languages, Literature and Communication and affiliated with the Institute for Language Sciences . Her research focuses on how people use language to create meaning through discourse relations , investigating cognitive processing of coherence markers in written, spoken, and visual communication. PhD in Language Science and Technology from Saarland University (summa cum laude, 2019) Research Master in Linguistics from Utrecht University (cum laude, 2015) Visiting researcher at Lancaster University and University of Edinburgh Her work combines theoretical psycholinguistics with computational modeling , using quantitative empirical methods like corpus analysis and crowdsourcing experiments. Recent research examines cross-modal discourse signals across Nigerian Pidgin , English , and European languages , while methodological contributions explore annotation reliability and experimental design. Publications demonstrate expertise in discourse markers , coherence relations , and low-resource NLP , with applications to gesture synthesis , spoken language analysis, and educational tools . She received the Veni grant for her project on natural discourse structure signals across modalities. As an educator, she contributes to the Communication and Information Sciences (BA) and Linguistics (RMA) programs, teaching courses like Writing Style as a Choice . Her methodological innovations in crowdsourcing and annotation frameworks have shaped discourse analysis practices in computational linguistics.

• Artificial Intelligence
• Systems Engineering
• Cyber-Physical Production Systems
• +۵ مورد دیگر

Dr. Saber Darmoul is an Associate Professor specializing in Systems Engineering and Multidisciplinary Design. His research bridges artificial intelligence with industrial applications, focusing on cyber-physical production systems, operational resilience, and smart transportation. He actively explores knowledge representation, reinforcement learning, and agent-based modeling to address complex system challenges. Key Research Interests: Operational resilience, AI in manufacturing, multi-agent systems, smart mobility Technical Expertise: Ontology modeling, simulation platforms, immune-inspired control architectures His recent publications (2025-2019) demonstrate a consistent focus on integrating artificial immune systems into control architectures for transportation and manufacturing. Notable trends include: Development of knowledge-based systems for dynamic reconfiguration Application of multi-criteria decision frameworks in production environments Advancing predictive maintenance strategies through distributed systems Exploring 6G system-of-systems engineering While no explicit awards or student advisement information appears in available records, his 15 most recent publications reflect sustained academic productivity and evolving focus from foundational control systems (2017-2019) to advanced applications in Industry 4.0 (2020-2025).

• Artificial Intelligence
• Edge AI
• Sensors
• +۷ مورد دیگر

Amirreza Yousefzadeh is an Assistant Professor specializing in computer architecture design for embedded systems. His research focuses on hardware acceleration for artificial intelligence, particularly in energy-efficient neuromorphic computing and edge AI applications. Research Interests Neuromorphic computing architectures Event-driven AI hardware Sparsity exploitation in neural networks Embedded vision systems Digital circuit design for AI Research Trends Recent work (2024-2025) demonstrates expertise in spiking neural networks (SNNs), activation sparsity, and hardware-software co-design for neuromorphic processors. Key areas include object detection, energy efficiency optimization, and digital implementations of synaptic delays. Technical Contributions Developed SENMap for multi-objective data-flow mapping Created SENSIM simulator for multi-core neuromorphic systems Investigated 3D stacking for memory-dominated architectures Explored temporal sparsity in event-based processing