جست‌وجوی استاد و پژوهشگر

Sherif Eissaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Hardware Design
• Data Encoding
• +۴ مورد دیگر

Sherif Eissa is a PhD Candidate in the Electronic Systems group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). His research focuses on neuromorphic computing for efficient real-time AI through hardware design, under the supervision of Prof. Henk Corporaal and Prof. Sander Stuijk. He is part of the national research project efficientdeeplearning.nl . Education: Bachelor of Information Engineering (cum laude), German University in Cairo (2016), with thesis at the Institute for Microelectronics Stuttgart (IMS) and University of Stuttgart. Master of Information Technology and Embedded Systems (cum laude), University of Stuttgart (2019), with thesis at Bosch Research Campus, Renningen. Research Interests: Machine Learning, Hardware Design, Data Encoding, Parallel Data Processing, Memory Structures, and Sparsity Utilization for Low-Power Edge AI. Awards: Best Achieving Student in overall grades (Bachelor's Degree). Best Achieving Student in overall grades (Master's Degree). Advising and Projects: Supervised 3 research works. Principal project: Efficient Deep Learning Platforms (eDLP) (2018–2023), focusing on Deep Learning Method, Energy Efficiency, and Hardware Platforms. Labs and Teams: Member of the Efficient Stream Processing Lab and the Electronic Systems group at TU/e.

• Hydrogels
• Biomaterials
• Supramolecular Chemistry
• +۴ مورد دیگر

Martin G.T.A. Rutten is a University Researcher in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), specializing in Biomedical Materials and Chemistry. His research focuses on developing advanced biomaterials, particularly hydrogels with tunable properties for biomedical applications. Rutten's research interests span multiple domains within biomaterials science and engineering. He specializes in hydrogel engineering , focusing on supramolecular chemistry approaches to create dynamic biomaterials with precisely controlled physical properties. His work integrates principles from polymer science, materials chemistry, and tissue engineering to develop synthetic matrices that mimic natural biological environments. Rutten investigates how molecular design influences macroscopic material properties, particularly examining hydrogen bonding interactions, self-assembly processes, and the relationship between biochemical complexity and cellular response. Analysis of Rutten's recent publication record (2018-2025) reveals a strong focus on supramolecular biomaterials, particularly hydrogels with dynamic properties. His research demonstrates an evolving trajectory from fundamental material characterization toward increasingly complex biological applications, including kidney organoid development and cardiac tissue engineering. The work consistently emphasizes the engineering of material properties at the molecular level to achieve specific biological outcomes, with growing attention to clinical translation potential.

Miguel Santin Schulzمشاهده پروفایل

پژوهشگر

• Computer Science
• Information Systems
• Psychology
• +۴ مورد دیگر

Miguel Santin Schulz is a Researcher affiliated with the Theoretical and Empirical Linguistics (TEL) department at the University of Groningen's Faculty of Arts. He holds a PhD in Psycholinguistics (2017-2021) and a Research Master's in Language and Cognition (2015-2017) from the University of Groningen, alongside a BA in Philosophy (2006-2010) from Mexico's National Autonomous University and a Business Management diploma from the Mexico Autonomous Institute of Technology. His research focuses on event cognition, verb semantics, and linguistic relativity, particularly exploring how language influences the perception and mental representation of change-of-state events across languages like Mandarin, Dutch, English, Greek, and Spanish. He collaborates with institutions such as the University Medical Center Groningen (UMCG) and leads data science initiatives in the Research Intelligence Services (RISe) unit, specializing in scientometric data analysis. His work bridges cognitive linguistics and data science, analyzing how language-specific structures shape cognitive processes. Recent studies include cross-linguistic investigations into event segmentation and memory, with findings published in Language, Cognition and Neuroscience and conference proceedings. Professional roles include Policy Officer in Research Intelligence, where he designs data workflows for institutional research assessments, and academic organizing roles in events like the LOT Summer School and Grote Taaldag.

Kyle van Oosterhoutمشاهده پروفایل

مدرس

• Analog and Mixed-Signal Integrated Circuit Design
• Silicon CMOS Technologies
• Flexible and Large-Area Electronics
• +۳ مورد دیگر

Kyle van Oosterhout is a Ph.D. candidate and lecturer at the Eindhoven University of Technology, Department of Electrical Engineering, specializing in analog and mixed-signal integrated circuit design with applications in biomedical technologies. His research focuses on flexible and large-area electronics for conformable biopotential monitoring systems. B.S. and M.S. in Electrical Engineering (cum laude) from Eindhoven University of Technology His work advances flexible electronics and biomedical sensors , including transimpedance amplifiers , level-crossing ADCs , and non-contact electrode front-ends . Publications highlight innovations in power efficiency, impedance optimization, and wearable system design. He is also a lecturer for the Flexible Electronics: Circuits and Systems course, supporting thesis projects for Master and Bachelor students. His research contributes to UN Sustainable Development Goals related to health and technological innovation.

Daniel Wiechmannمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Computational Psycholinguistics
• Explainable AI
• +۵ مورد دیگر

Dr Daniel Wiechmann is a researcher at the University of Amsterdam's Faculty of Humanities, Department of Literature and Language Science, affiliated with the Institute for Logic, Language and Computation (ILLC). His primary focus lies in Natural Language Processing with applications in mental health informatics and computational psycholinguistics. His research interests center on explainable AI for mental health detection , specializing in hybrid models that integrate transformer architectures with psycholinguistic features. He investigates German-language social media analysis (evidenced by SMHD-GER and FANG-COVID datasets), personality detection through verbal behavior, and text simplification techniques. Recent work emphasizes cross-lingual mental disorder classification and feature fusion strategies for improved model interpretability in clinical contexts. Analysis of his 15 most recent publications (2021-2024) reveals a strong trajectory toward multilingual mental health detection systems, with significant contributions to German-language NLP resources. His work consistently bridges computational linguistics and clinical psychology through Hybrid transformer-psycholinguistic model architectures Large-scale dataset creation for mental health screening Explainability frameworks for clinical decision support Dr Wiechmann maintains active research output with 20+ publications since 2021, primarily through the MANTIS research group, focusing on social media-based mental health detection systems and German-language NLP applications.

Rochelle Choenniمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Multilingual Language Models
• Computational Linguistics
• +۳ مورد دیگر

Rochelle Choenni is a researcher affiliated with the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam . Her primary focus lies in Natural Language Processing (NLP) , particularly in multilingual language models, cultural alignment, and cognitive modeling. She contributes to advancing inclusivity, bias mitigation, and language-brain encoding in LLMs. Research Interests: Choenni investigates how multilingual models handle cultural values, syntactic structures, and cross-lingual interactions. Her work explores the intersection of computational linguistics, cognitive science, and ethical AI, with a focus on improving model accuracy and inclusivity. Recent Article Trends: Her publications (2021–2025) reveal expertise in multilingual LLMs, metaphor detection, cultural alignment, and syntactic-brain activity correlations. Key subfields include pruning techniques, bias mitigation, dependency parsing, and linguistic typology. Labs & Teams: Choenni is based at the ILLC, a renowned research institute at the University of Amsterdam, and works on NLP projects within its interdisciplinary framework.

Elisabetta Chiccaمشاهده پروفایل

استاد

• Neuromorphic Engineering
• Spiking Neural Networks
• Memristive Systems
• +۶ مورد دیگر

Elisabetta Chicca is a Professor of Bio-Inspired Circuits and Systems at the University of Groningen's Faculty of Science and Engineering. Her work bridges neuromorphic engineering, spiking neural networks, and bio-inspired sensing. University: University of Groningen Department: Bio-Inspired Circuits and Systems Email: e.chicca@rug.nl Research Interests: Focus on developing CMOS models of cortical circuits for brain-inspired computation, combining spiking neural networks with memristive systems. Key areas include bio-inspired vision, olfaction, touch, and motor control to create agents that operate in real-world environments. Recent Article Trends: Explore neuromorphic processors with hybrid CMOS-memristor architectures, event-based vision for motion detection, tactile sensing in robotics, and benchmarking frameworks for neuromorphic algorithms. Scientific Contributions: She co-founded the Neuromorphic Computing and Engineering journal and serves on its Executive Editorial Board. Her team has received EU Horizon 2020, NWO, and DFG grants.

• Pupillometry
• Psychophysiology
• Eye Tracking
• +۶ مورد دیگر

Dr. Christoph Strauch is an Assistant Professor in the Department of Experimental Psychology within the Faculty of Social and Behavioural Sciences at Utrecht University. His research focuses on using psychophysiological methods to investigate cognition and perception, with special emphasis on visual and spatial attention mechanisms. His primary research expertise spans pupillometry, psychophysiology, eye tracking, applied data science, and human-centered artificial intelligence. Strauch investigates fundamental questions about attention deployment, eye movement patterns, and the underlying neural mechanisms. He proposes that pupil size indexes all fundamental aspects of attention (orienting, alerting, and executive functioning) and samples specific underlying circuits at the brainstem level. His work bridges fundamental cognitive science with practical applications in human factors research, human-computer interaction, neuropsychology, and ophthalmological diagnosis. Strauch's recent publication portfolio demonstrates a strong methodological focus on pupillometry as a tool for understanding attentional processes. His work spans from fundamental research on attentional networks to applied research in multiple domains. A notable trend is his development of open-source tools like Open-DPSM for modeling pupil size changes, and large-scale data collection efforts including a dataset of 4243 participants examining attention biases across age groups. His research shows increasing integration of computational approaches with traditional psychophysiological methods. Dr. Strauch actively collaborates with researchers including S. Van der Stigchel, M. Naber, A.J. Hoogerbrugge, and D. Koevoet. His laboratory work focuses on psychophysiological methods, particularly using changes in pupil size and eye movements to investigate cognitive processes. He maintains a creative exploration project that seeks innovative applications of these methods to uncover new cognitive and perceptual phenomena, which he describes as 'open ended, fun and curiosity driven.'

Peter Bonczمشاهده پروفایل

استاد

• Database Systems
• Column-Store Databases
• Vectorized Query Processing
• +۵ مورد دیگر

Peter Boncz is a Professor in the special chair of Large Scale Analytical Database Systems at Vrije Universiteit Amsterdam and leads the Database Architectures (DA) research group at CWI (Centrum Wiskunde & Informatica), the Netherlands' national research institute for mathematics and computer science. He serves on the CWI management team and is actively involved in multiple research initiatives and industry collaborations. Professor Boncz is internationally recognized as a pioneer of column-store databases, introduced through his PhD project MonetDB. His research spans database architecture, query processing optimization, and analytical database systems. His work on vectorized query processing with his first PhD student Marcin Zukowski has become foundational in modern analytical databases including BigQuery, Databricks, Snowflake, and DuckDB, which has millions of monthly downloads. Current research focuses include GPU data processing, vector search optimization, confidential computing, and graph data management. Boncz's recent publications reveal strong trends toward optimizing database systems for modern hardware architectures, particularly GPUs and cloud CPUs. His work bridges theoretical database concepts with practical implementation, focusing on performance optimization through innovative data layouts, compression techniques, and hardware-aware processing. The research shows a clear trajectory from foundational database concepts toward specialized optimization for emerging hardware and application requirements. VLDB Test of Time Award 2025 (second time, previously won in 2009) CIDR Test of Time Award 2024 ACM Fellow (2022) Humboldt Research Award (2013) ICTRegie Award (2006) Boncz has co-founded six spin-off companies in data systems, including MonetDB BV, and serves as an advisor to ventures like Databricks Corp. His research is supported by multiple external funding projects including Actian Research Grants, Databricks research agreements, and Motherduck Service Agreements. He has advised numerous students, with Marcin Zukowski being notably mentioned as his first PhD student who co-developed vectorized query processing. As leader of the Database Architectures research group at CWI, Boncz oversees a team focused on pushing the boundaries of database technology. The group maintains close ties with industry through projects with Databricks, Motherduck, and RelationalAI, while continuing to develop open-source technologies like DuckDB. The team is particularly active in GPU acceleration, confidential computing, and graph data management through the Linked Data Benchmark Council (LDBC), which Boncz founded.

Xiaochen Zhengمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Language Processing
• Cognitive Control
• +۵ مورد دیگر

Xiaochen Zheng is a Cognitive Neuroscientist at Leiden University's Social and Behavioural Sciences faculty, specifically within the Cognitive Psychology Unit . She holds a Researcher title and investigates intersections between language and broader cognitive systems using advanced neuroimaging techniques. Bachelor: Psychology, Beijing Normal University PhD: Cognitive Neuroscience, Radboud University Her research spans cognitive control , working memory , and language processing , with a focus on how the brain manages information overload, facilitates multilingualism, and generalizes knowledge. Techniques include EEG , MEG , and fMRI across healthy and clinical populations. Recent publications highlight her work on frontoparietal networks , theta oscillations in bilingual control , and hippocampal cognitive mapping . These articles reveal a trend toward understanding domain-general mechanisms in cognition and their applications to language processing. Veni Grant (NWO) - The age of information overload: how do we control what we say? Scholarship for Academic Excellence (Tilburg University) As a co-promotor, she supervised PhD student Elena Mainetto and coordinated interdisciplinary teams across 10+ international institutes. Her work emphasizes team science and open science principles, with data sharing practices evident in multiple publications.

Herman Geuversمشاهده پروفایل

استاد

• Theoretical Computer Science
• Type Theory
• Lambda Calculus
• +۴ مورد دیگر

Herman Geuvers is a Professor of Computer Science (Theoretical Computer Science) at Radboud University Nijmegen, where he leads the Foundations group within the Institute for Computing and Information Science (ICIS), part of the Faculty of Science. He also holds a part-time professorship at the Technical University of Eindhoven's Faculty of Mathematics and Computer Science. His roles include chairing the Examination Board for Computing Science at Radboud and the board of the Institute for Programming Research and Algorithmics (IPA). He chairs the Steering Committee of the FSCD conference and is a member of the COST Action CA20111 on Formal Proofs. Geuvers holds a Master's and PhD in Mathematics from Radboud University (1988 and 1993, respectively). He has led significant projects like the ARPA initiative to advance Proof Assistant usage and contributed to the EUTypes network. His teaching includes advanced courses on Type Theory, Semantics, Complexity, and Proving with Computer Assistance. His research focuses on logic in computer science, type theory, lambda calculus, and formal methods. He emphasizes integrating proof assistants like Coq into mathematics and software verification. He has supervised numerous PhD students and remains active in organizing international conferences and workshops.

Cristóbal Bertoglioمشاهده پروفایل

دانشیار

• Cardiovascular Mathematics
• Biomedical Engineering
• Fluid-Structure Interaction
• +۳ مورد دیگر

Cristóbal Bertoglio is an Associate Professor at the University of Groningen, affiliated with the Computational and Numerical Mathematics group at the Bernoulli Institute within the Faculty of Science and Engineering. His research focuses on cardiovascular mathematics, biomedical engineering, and fluid-structure interaction in biological systems. He develops mathematical models and numerical methods to study cardiovascular dynamics, integrating data and models across scales to improve diagnostics and treatment for cardiovascular diseases. His work involves computational hemodynamics, inverse problem methods, and medical imaging techniques such as phase-contrast MRI and 4D flow MRI. Notable contributions include software benchmarks for cardiac elastodynamics, denoising algorithms for MRI velocity data, and parametric models for blood flow simulations. He collaborates internationally with researchers in engineering, mathematics, and clinical medicine to advance translational research in cardiovascular science. Dr. Bertoglio leads the Cardiovascular Mathematics Team, emphasizing interdisciplinary approaches to address challenges in modeling cardiac mechanics, pressure estimation, and fluid dynamics in vascular systems. His research also explores parameter identification, numerical stability, and optimization techniques for biomedical applications.

• Cognitive Psychology
• Higher Education
• Cognitive Sciences
• +۲ مورد دیگر

Prof. Dr. Susan te Pas serves as Professor of Cognitive Psychology at Utrecht University's Faculty of Social Sciences and Dean of University College Utrecht. Her research examines cognitive processes in higher education contexts, with expertise spanning visual perception, cognitive neuroscience of numerosity, and human-AI interaction. Her work investigates fundamental perceptual mechanisms through psychophysical and neuroimaging approaches, particularly exploring neural adaptation in quantity perception and temporal aspects of cognition. Research themes also include pedagogical innovation, transformative learning environments, and perceptual foundations of visualization techniques. Recent publications demonstrate consistent focus on numerosity perception adaptation effects, temporal modulation of cognitive processes, and applications in educational visualization. Cross-cutting interests emerge in sensory-cognitive interactions and perceptual expertise development.

Ahmed Dorrahمشاهده پروفایل

استادیار

• Light-Matter Interaction
• Structured Light
• Flat Optics
• +۷ مورد دیگر

Dr. Ahmed Dorrah is an Assistant Professor in the Department of Applied Physics and Science Education at Eindhoven University of Technology (Netherlands). He leads research in light-matter interaction, structured light, and flat optics, focusing on meta-optics for applications in remote sensing, micromanipulation, and optical communications. Previously, he was a Postdoctoral Researcher at Harvard University (2019–2024) and earned his PhD (2019) and MASc (2015) from the University of Toronto. His work integrates nanophotonics with quantum materials and advanced imaging techniques. Research Interests: His studies span the design of next-generation metasurfaces, 3D holography using curved light sheets, and high-efficiency structured light generation. Recent publications (2023–2025) highlight breakthroughs in bilayer metasurface fabrication, Mueller matrix imaging, and AI-driven holography techniques. His work is driven by creating compact, scalable optical systems with applications in wearable tech, satellite communications, and biological microscopy. Education & Career: Dorrah holds a BASc from Cairo University (2011). He has held visiting scholar roles at Lawrence Berkeley National Lab (USA) and the University of the Witwatersrand (South Africa). He currently oversees the Photonics and Semiconductor Nanophysics group and contributes to the Eindhoven Hendrik Casimir Institute. Funded PhD positions are available through TU/e's vacancies portal. Awards: No specific awards listed, but his research has been published in top-tier journals like Science Advances , Nature Communications , and Light: Science and Applications . He mentors students in photonics, nanophysics, and applied optics, emphasizing interdisciplinary collaboration with engineering and AI groups. Labs & Teams: Active in the Photonics and Semiconductor Nanophysics (PSN) group, his lab develops metasurface-based tools for optical manipulation and imaging. Collaborations include TU/e's Eindhoven Artificial Intelligence Institute (EAISI) and international partners in quantum materials research.

Alessio Arleoمشاهده پروفایل

استادیار

• Temporal Network Visualization
• Information Diffusion
• Distributed Graph Algorithms
• +۳ مورد دیگر

Alessio Arleo is an Assistant Professor at the Eindhoven University of Technology (TU/e) within the Mathematics and Computer Science department, specializing in the Visualization group and Visual Analytics for Data Science . He holds a PhD in distributed computing and graph drawing from the University of Perugia (2018), followed by postdoctoral research at Vienna University of Technology's Visual Analytics unit. His work focuses on temporal network visualization, information diffusion modeling, and distributed graph algorithms. Research interests include temporal networks , interactive visual analytics , and explainable graph drawing . Notable projects include TimeLighting (space-time cube visualization) and XGD (explainable graph drawing frameworks). Recent publications address guidance strategies in visual analytics, healthcare data visualization, and AI-driven graph layout transparency. He teaches the Seminar Visualization course and has co-authored over 30 peer-reviewed articles since 2014. No ancillary activities are listed, and his work is supported by grants from WWTF, FFG, FWF, and SANE.