جستجوی استاد راهنمای دانشگاهی

Kerstin Bunte is a Professor of Machine Learning for interdisciplinary data analysis at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute's Intelligent Systems Group. She holds an Honorary Fellowship at the University of Birmingham and leads the Intelligent Systems Group. Her research focuses on interpretable machine learning, interdisciplinary applications (e.g., astrophysics and biomedical data), and visualization techniques. Research Interests: - Machine Learning - Artificial Intelligence - Explainable AI (XAI) - Interpretable Models - Dimensionality Reduction - Data Visualization - Astrophysical Data Analysis - Medical Imaging Awards & Grants: - DSSC XS funding (2023) - NWO VIDI grant (2020) - Rosalind Franklin Fellowship (2016–present) Advising & Students: Supervised PhD students include Elisa Oostwal, Janis Norden, Matteo Marcantoni, and Petra Awad. Research spans topics like tumor segmentation in medical imaging, astrophysical structure detection, and autonomous navigation systems. Labs & Collaborations: Leads the Intelligent Systems Group, collaborating with institutions like the University of Birmingham and the University of Warwick. Work involves interdisciplinary projects combining machine learning with astronomy, biomedical sciences, and robotics.

• Machine Learning
• Artificial Intelligence
• XAI (Explainable Artificial Intelligence)
• +۷ مورد دیگر

Jeroen van der Ham de Vos is an Associate Professor at the Design and Analysis of Communication Systems department, affiliated with the Digital Society Institute. He also serves as a Guest Researcher at the National Cyber Security Centre (NCSC-NL). His research focuses on cybersecurity, vulnerability disclosure processes, and network security mechanisms, contributing to UN Sustainable Development Goals related to digital security. His work spans theoretical frameworks and practical implementations, including threat analysis of critical infrastructure (e.g., BGP protocols), vulnerability management strategies, and cybersecurity policy development. He has contributed to special issues on incident response and cybersecurity ethics, emphasizing the intersection of technical solutions and societal impacts. Recent publications highlight trends in coordinated vulnerability disclosure challenges, empirical cybersecurity investment decisions, and the analysis of emerging threats like residential proxies and commercial VPNs. His research bridges academic rigor with real-world applications, often involving collaborative efforts across institutions and government bodies.

• Cybersecurity
• Vulnerability Disclosure
• Data Sharing
• +۳ مورد دیگر

Dr. Christian Steglich is an Associate Professor in the Department of Sociology at the University of Groningen's Faculty of Behavioural and Social Sciences. His research focuses on stochastic network modeling, social networks, and adolescent behavior, with particular emphasis on peer influence, friendship dynamics, and network co-evolution. He is part of the SIENA software development team for dynamic network analysis. Research Interests: Mathematical sociology and network dynamics Adolescent social networks and behavior Stochastic modeling and statistical inference Interorganizational networks and gender dynamics Missing data methodologies and network imputation Recent Articles: Focus on Chinese adolescents' friendship dynamics, networked solidarity economies, and longitudinal network behavior interactions. His work bridges theoretical modeling with empirical applications in education, health, and organizational contexts. Scientific Awards: William D. Richards Jr. Software Award (2017) 2013 Awards for prosocial relationships and child social development research Grants/Advising: Extensive ERC panel involvement and collaborations on youth behavior and network interventions. Supervised 7 research projects focusing on peer networks and academic outcomes. Labs/Teams: Active in interdisciplinary research teams at the University of Groningen, focusing on social network analysis methodologies and their applications in diverse fields.

• Social Networks
• Stochastic Modelling
• Sociology
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Friso Bostoen is an Assistant Professor of Competition Law & Digital Regulation at Tilburg University , affiliated with TILT and TILEC . He holds a Ph.D. from KU Leuven and was a Max Weber Fellow at the European University Institute. Research Focus: Regulation of online platforms, AI, and generative AI under antitrust law, with a global perspective (Africa, Asia, Latin America). Teaching: Competition law at KU Leuven, London School of Economics, Erasmus University, Waseda University, and University of Trento. Publications: 15+ articles on AI, DMA, platform power, and antitrust enforcement in top journals. Side Activities: Editor of the CoRe Blog and host of the Monopoly Attack podcast. Research Trends: His work bridges antitrust law with digital innovation, focusing on AI, metaverse, and global platform regulation. Key themes include contestability in tech markets, gatekeeper designation frameworks, and adapting abuse-of-dominance assessments for free/digital products. Collaborations: Regularly co-authors with Giorgio Monti, Nicolas Petit, and Anouk van der Veer, addressing challenges in tech mergers, platform neutrality, and regulatory design.

• Competition Law
• Digital Regulation
• Antitrust Law
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Luís Lima Valente is an Associate Professor at the University of Groningen and Senior Researcher at Naturalis Biodiversity Center. His work focuses on island biogeography, phylogenetics, and biodiversity dynamics. He leads the Biodiversity Hotspots group at Naturalis and co-leads the Theoretical & Evolutionary Community Ecology group at GELIFES. His research combines fieldwork, genomic data, and computational modeling to study evolutionary processes in island and continental ecosystems. Education: PhD in Evolutionary Biology (2010, Royal Botanic Gardens Madrid), MSc in Ecology, Evolution & Conservation (2006, Imperial College London), BSc in Biology (2005, University College London). Research Interests: Island biodiversity patterns, historical biogeography, phylogenetic methods, and the interplay between climate and evolutionary processes. Key projects include the DAISIE software package for island biogeography analysis and studies on radiations of island birds/plants. He has advised over 30 PhD/MSc students and postdocs, focusing on island systems like the Canaries, Mascarenes, and Caribbean. Awards: Marie Curie Fellowship (2011-2013), Humboldt Fellowship (2013-2016), Martin Temminck Fellowship (current). His lab actively collaborates globally, with fieldwork in Bioko, Mauritius, and the Azores. Current focuses include mountain plant radiations and the impact of climate oscillations on biodiversity.

• Evolutionary Biology
• Ecology
• Biodiversity
• +۳ مورد دیگر

Roles and Affiliations: Daniel Redhead is an Assistant Professor at the University of Groningen (since 2023) within the Department of Sociology and the Inter-university Center for Social Science Theory and Methodology (ICS). He concurrently serves as a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. Previously, he held roles including Group Leader (2020–2023) and Postdoctoral Research Fellow (2018–2020) at the same institute, and Visiting Researcher at the University of Illinois at Urbana-Champaign (2017–2018). Education: PhD in Psychology (2015–2018), University of Essex Masters by Research (MA) in Anthropology (2014–2015), Durham University BA (Hons) in Archaeology and Anthropology (2011–2014), Durham University Research Interests: Redhead focuses on cultural evolution, human behavioral ecology, social hierarchy, and social network analysis . His work examines how social structures, cooperation, and inequality emerge in diverse contexts—from rural Colombian communities to foraging societies in the Congo Basin. He employs advanced statistical methods and computational models to analyze complex social systems. Articles Trends: His recent publications emphasize methodological innovations (e.g., Bayesian network analysis, STRAND software), cross-cultural studies of cooperation and status, and interdisciplinary approaches bridging anthropology, evolutionary biology, and sociology. Awards: Human Behavior & Evolution Society Margo Wilson Award (2024) NSF HNDS Program Co-PI Grant ($400,000, 2022) Leakey Foundation Research Grant (2025) Teaching & Grants: Redhead teaches courses on Solidarity & Social Contexts and Methodology & Data Collection at the University of Groningen. He actively secures grants as PI/Co-I, including multi-million-dollar NSF and ESRC funding.

• Anthropology
• Evolutionary Biology
• Psychology
• +۵ مورد دیگر

Peter van Kranenburg is an Assistant Professor in Music Information Computing at Utrecht University (The Netherlands) and a guest researcher at the KNAW Meertens Institute in Amsterdam. His work bridges computer science and musicology with a focus on computational approaches to music analysis. His research spans computational musicology, computational humanities, and music information retrieval. Van Kranenburg specializes in developing computational models for analyzing musical structures, particularly melodic similarity measures, folk song transmission patterns, and large-scale analysis of song traditions. His work often involves interdisciplinary collaboration between computer scientists and musicologists. His recent publications demonstrate consistent research in computational approaches to music analysis, with a focus on melodic similarity, folk song transmission, and computational modeling of musical traditions. His work spans both technical computer science aspects of music information retrieval and substantive musicological applications. Van Kranenburg has been involved in several significant research projects including the H2020 Polifonia-project (2021-2024), which focused on large scale analysis of European song traditions and curation of historic data on musical instruments, particularly pipe organs. His educational background combines technical and musicological expertise, having earned master's degrees in both Electrical Engineering (Delft University of Technology, 2003) and Musicology (Utrecht University, 2004), followed by a PhD from Utrecht University. His doctoral research developed melodic similarity measures and software tools for analysis of audio recordings of religious chant.

• Computational Musicology
• Computational Humanities
• Music Information Retrieval
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Hans van de Velde is a Professor of Sociolinguistics at Utrecht University's Department of Languages, Literature and Communication and part of the Institute for Language Sciences . He also serves as a senior researcher at the Fryske Akademy , focusing on Frisian language studies. His research spans multiple areas including: Language variation and change Sociophonetics Standardization processes Minority languages Acoustic-phonetic analysis Language contact Recent scholarship highlights his work on: 2024 : Visible Vowels software for language transfer studies 2023 : Sociophonetics of rhotic sounds and Frisian-Dutch education policy 2022 : Frisian standardization and consonant analysis tools Contact: h.vandevelde@uu.nl

• Sociolinguistics
• Language Variation and Change
• Language Policy
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Giovanni Sileno is an academic specializing in Artificial Intelligence, Logic Programming, and Knowledge Representation, with teaching appointments at the University of Amsterdam, EPITA Paris, and Université Pierre et Marie Curie. His primary affiliation is with the Informatics Institute at the University of Amsterdam where he serves as a Lecturer. His research interests span multiple domains within computer science, focusing particularly on formal methods for normative systems, agent-based programming, and logic-based knowledge representation. His work bridges theoretical computer science with practical applications in policy modeling, forensic science, and business information systems. Dr. Sileno has developed several notable software projects including AgentScriptCC for single-threaded intentional agents, DCPLschema for normative policy specifications, and libraries for normative primitives in Answer Set Programming. His GitHub activity shows consistent contributions from 2012 through 2025, indicating active engagement in both research and development. His publications reflect a strong focus on formal methods applied to practical problems, with particular emphasis on normative systems, agent architectures, and logic programming applications. The research trajectory shows evolution from foundational topics in logic and numeral systems toward increasingly sophisticated applications in policy modeling and agent-based systems. As an educator, he has taught across multiple institutions and disciplines, covering topics from basic programming paradigms to advanced knowledge representation and formal modeling techniques. His teaching spans undergraduate to master's level courses in information studies, cognitive science, data science, and forensic science.

• Artificial Intelligence
• Logic Programming
• Knowledge Representation
• +۵ مورد دیگر

Derek Lomas is a researcher at Delft University of Technology’s Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Human Technology Relations. He holds a PhD in Human-Computer Interaction from Carnegie Mellon University, an MFA in Social Design from UC San Diego, and a BA in Cognitive Science from Yale University. His research focuses on AI-driven wellbeing solutions, neurodesign, and educational technology. He leads projects like NeuroUX (mobile cognitive assessment software) and Zensus (patient wellness tracking), and has developed over 40 learning/assessment games. Key areas include music perception via EEG, AI alignment with human emotions, and design methodologies for positive AI. Education: B.A. Cognitive Science, Yale University, 2003 MFA Social Design, UC San Diego, 2009 PhD Human-Computer Interaction, Carnegie Mellon University, 2014 Research Interests: AI for wellbeing and mental health Neuroscience-driven design (EEG, brain-computer interfaces) AI ethics and human-AI interaction Game-based learning and assessment Key Projects: NeuroUX : Cognitive assessment software used in psychiatric research Zensus : AI-driven patient wellness monitoring system FactFlow : AI math fluency tool for children Vibe Research Labs : Exploring AI and positive human experiences Awards: Social Innovation Fellowship (PopTech) MacArthur Foundation Digital Media Learning Grant White House National STEM Game Competition McGinnis Business Plan Competition Winner Grants & Collaborations: Consultancy: Playpower Labs (UX, data science, software) Partnerships with UC San Diego, Brown University, and UT Austin

• Human-Centered Design
• Artificial Intelligence
• Health Technology
• +۳ مورد دیگر

Professor Marieke Huisman is a leading figure in software reliability at the University of Twente, where she chairs the Computer Science department within the Faculty EEMCS and leads the Formal Methods and Tools (FMT) Group. She serves as President and Steering Committee chair of the ETAPS association, Member of the board of IPN (ICT-Research Platform Netherlands), and Fellow of the Netherlands Academy of Engineering (NAE). Her research focuses on program verification, reliability of concurrent, parallel and distributed applications, software specification, and formal methods. She develops verification techniques through the VerCors verifier, with applications spanning concurrent data structures, GPGPU programming, and distributed systems. Her work bridges theoretical formal methods with industrial applications, particularly in safety-critical domains. Professor Huisman's recent publications demonstrate strong activity in deductive verification, with particular emphasis on verification of concurrent and parallel systems, memory models, and practical applications of formal methods. Her research shows consistent evolution from theoretical foundations toward practical industrial applications, with increasing focus on GPU programming verification and automated invariant generation. Netherlands Prize for ICT Research 2013 (50,000 euros) 2023 Athena Award for female researchers who stand out as role models She leads multiple significant research projects including NWO OC M Pallas, WWU Münster - UT collaboration Saves, NWO TTW OTP Cheops, NWO VICI Mercedes, and Interreg North Sea Storm_Safe. Her leadership extends to editorial roles including Associate Editor-in-Chief of the Software Track of Science in Computer Programming and executive board membership of VERSEN, the Dutch National Association for Software Engineering. Professor Huisman directs the FMT Group which develops the VerCors verification toolset for concurrent and parallel software. The group collaborates internationally with institutions including WWU Münster, TU Eindhoven, and NlNet Labs, focusing on making formal verification accessible and practical for real-world software development challenges.

• Program verification
• Software Reliability
• Formal methods
• +۴ مورد دیگر

Matthias Christandl is a Professor of Mathematical Sciences at the University of Copenhagen, leading the Quantum for Life Center (Novo Nordisk Foundation) and co-PI of the VILLUM Foundation's QMATH center. He also heads the UCPH Quantum Hub, a cross-faculty initiative. His research focuses on quantum information theory, quantum cryptography, and mathematical physics, with contributions to quantum algorithms, tensor networks, and algebraic complexity. During 2024–2025, he holds the Turing Chair at QuSoft/CWI in Amsterdam, fostering collaborations in quantum software and theory. Education: PhD (2006, University of Cambridge), Diploma (2002, ETH Zurich). Previous roles include Assistant Professorships at ETH Zurich (2010–2014) and University of Munich (2008–2010), and postdoctoral research at Cambridge (2005–2008). Research interests span quantum communication protocols, entanglement verification, and the interplay between quantum mechanics and information processing. His work bridges theoretical computer science, mathematics, and physics, with key results in quantum position verification, tensor rank analysis, and fault-tolerant quantum coding. Scientific awards include ERC Starting (2013) and Consolidator Grants (2018), and election to the Royal Danish Academy of Sciences and Letters (2016). Major collaborations involve QuSoft, CWI, and international teams in quantum information and complexity theory. Grants and leadership: ERC grants, VILLUM Foundation, and Novo Nordisk Foundation funding. His group actively mentors PhD/postdoc researchers and contributes to quantum education via the MSc Quantum Computer Science program.

• Quantum Information Theory
• Quantum Cryptography
• Mathematical Physics
• +۳ مورد دیگر

Petr van Blokland (born 1956 in Gouda) is a type designer, typographer, graphic designer and lecturer at the Royal Academy of Art in The Hague (KABK), where he teaches in the Master Type and Media program. He co-founded Type Network and releases typefaces under the TYPETR label. His studio, Buro Petr van Blokland + Claudia Mens, was established in 1980. His research interests focus on the intersection of traditional typography and digital innovation. Van Blokland explores typeface design , design automation , and creative methodologies that bridge historical practices with contemporary digital tools. His work emphasizes expansion contrast typography, flourished letterforms , and variable font technology , creating type systems that function across diverse media contexts while maintaining typographic integrity. His publication history shows consistent innovation across decades, with recent work focusing on variable font technology (Presti, 2023), display typography (PowerLift, 2018), and historical analysis of type technology (2024 phototypesetting article). His typefaces demonstrate a progression from traditional text faces (Proforma, Productus) to experimental digital forms (Bitcount) and finally to sophisticated variable systems that incorporate historical techniques with digital flexibility. ATypI's Charles Peignot Prize (1988) As a lecturer in the Master Type and Media program, van Blokland guides students through advanced type design projects that integrate historical knowledge with cutting-edge technology. His approach to teaching emphasizes practical application through live design games and collaborative workshops that simulate professional design environments. His studio work with Buro Petr van Blokland + Claudia Mens provides real-world context for his academic instruction, creating a seamless connection between professional practice and educational theory. Van Blokland leads TYPETR, a type foundry that develops sophisticated type systems with extensive OpenType features. His work on Presti demonstrates particular innovation with floating flourishes that can be attached to letters in multiple positions, sizes, and directions, creating a highly customizable typographic system that maintains historical authenticity while embracing digital possibilities.

• Type Design
• Typography
• Graphic Design
• +۵ مورد دیگر

Steven L. Salzberg is the Bloomberg Distinguished Professor of Biomedical Engineering, Computer Science, and Biostatistics at Johns Hopkins University, where he also serves as Director of the Center for Computational Biology. His research focuses on developing computational methods for DNA analysis from next-generation sequencing technologies, with applications across gene finding, genome assembly, comparative genomics, and evolutionary genomics. Dr. Salzberg's research interests center on computational biology and genomics, with particular emphasis on developing innovative software tools for analyzing DNA and RNA sequences. His work has significantly advanced genome assembly techniques, annotation systems, and the understanding of genomic variation. He maintains a strong commitment to data accuracy, as demonstrated by his recent work debunking flawed cancer microbiome research that made headlines in 2023 and 2025 publications. Analysis of his recent publications reveals a consistent trajectory toward increasingly sophisticated genomic analysis tools. His lab has pioneered methods for splice site prediction (Splam), genome annotation (LiftOn), protein-coding region detection (ORFanage), and assembly polishing (JASPER). The research spans computational methodology development while maintaining strong connections to biological discovery and medical applications. Scientific Recognition: His former postdoc Martin Steinegger awarded the 2024 Overton Prize from ISCB Contributed to the landmark publication of the first complete human genome in Science (2022) Dr. Salzberg actively mentors numerous PhD students and postdoctoral fellows, with recent thesis defenses by Kuan-Hao Chao, Markus Sommer, and Ales Varabyou. His lab has secured substantial research funding supporting multiple graduate students and postdocs working on cutting-edge genomic research. The lab maintains extensive collaborations, particularly with Dr. Mihaela Pertea's group, as evidenced by joint publications and shared lab members working on genome assembly and annotation projects. The Salzberg Lab at Johns Hopkins represents a dynamic research environment with continuous growth and evolution. Recent lab news shows consistent expansion with new members joining across multiple years, thesis defenses by key researchers, and high-impact publications spanning Nature, Science, and specialized genomics journals. The lab's collaborative approach with other research groups has resulted in significant contributions to the field of computational genomics.

• Computational Biology
• Genomics
• Bioinformatics
• +۴ مورد دیگر

Dr. Bob Planqué is an Associate Professor in Mathematical Biology at the Department of Mathematics, Vrije Universiteit Amsterdam. He serves as the current programme director of the Master Mathematics and is a member of the Amsterdam Center for Dynamics and Computation. His research focuses on systems biology, microbial physiology, and ecological interactions, with applications to epidemiology and ornithology. He collaborates extensively with the Systems Biology Lab on metabolic network optimization and microbial growth dynamics. Planqué co-founded Xeno-canto, the world's largest open-access database of wildlife sounds, recognized with the Dutch Data Prize 2024 for FAIR data sharing. His work bridges mathematical modeling with experimental biology, addressing questions in metabolic efficiency, collective decision-making in ants, and signal evolution in birds. Education & Roles: PhD in Applied Mathematics (CWI/VU Amsterdam), roles include programme director and supervisor of over 20 MSc/BSc students in mathematical biology. Active in interdisciplinary projects combining ecology, microbiology, and machine learning. Research Interests: Mathematical modeling of microbial metabolism, bifurcation analysis in metabolic pathways, stochastic processes in signal transduction, and the evolution of animal communication. Key projects include metabolic flux optimization, microbial growth rate adaptation, and avian acoustic ecology. Publications: Over 50 peer-reviewed articles in journals like Nature Metabolism, Biophysical Journal, and Proceedings of the National Academy of Sciences. His work on metabolic explosion in yeast and bird song dialects has been widely cited. Awards: Dutch Data Prize 2024 (Life Science and Health) for Xeno-canto's FAIR data practices, contributing to 4,000+ scientific publications and machine learning initiatives like BirdNET. Grants & Collaborations: Collaborations with Frank Bruggeman, Bas Teusink, and international teams on systems biology and data science. Xeno-canto supports global biodiversity research via open-access sound recordings.

• Mathematical Biology
• Systems Biology
• Microbial Physiology
• +۶ مورد دیگر