جستجوی استاد راهنمای دانشگاهی

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Prof. Dr. Arwen Deuss is a full Professor at the Faculty of Geosciences, Utrecht University , specializing in Seismology . Her research focuses on mapping Earth's deep interior using global seismology, with particular emphasis on mantle discontinuities, core structure, and whole Earth oscillations. She integrates seismological data with mineral physics, geodynamic modeling, and geochemistry to understand planetary evolution. Key research areas: Earth's Deep Interior, Global Seismology, Mantle Discontinuities, Inner Core Anisotropy Teaches courses in Theoretical Seismology, Earth Systems, and Planetary Interior Structure Developed open-source tools like FrosPy for normal mode analysis Her recent work explores 3D mantle attenuation, tilted transverse isotropy in the inner core, and seismic wave coupling. She leads projects connecting seismic tomography with geodynamic processes and maintains active collaborations in international seismological research.

• Global Seismology
• Earth's Deep Interior
• Mantle Discontinuities
• +۴ مورد دیگر

Jacob Krüger is an Assistant Professor at Eindhoven University of Technology , specializing in the development and evolution of variant-rich software systems. He holds a PhD from Otto-von-Guericke University Magdeburg (2021) and has held academic and research positions at institutions including Ruhr-University Bochum, Chalmers University of Technology, and the University of Toronto. His research focuses on the interplay between human cognition and software quality, particularly in complex systems requiring frequent adaptation. Education: PhD in Computer Science, Otto-von-Guericke University Magdeburg (2021) MSc Business Informatics, Otto-von-Guericke University Magdeburg (2016) Research Interests: Variant-Rich Systems Program Comprehension Software Product Lines Human Factors in Software Engineering Architecture Smells and Quality Assurance Articles Trends: Recent work emphasizes fork ecosystem visualization (VisFork tool), the impact of AI on scientific practices, and crisis-driven software development (e.g., Corona-Warn-App). Key themes include empirical studies, tool development, and industry collaboration. Awards: Best Dissertation Award (2022) Frank Anger Memorial Award (2019) Multiple conference best-paper and review awards Advising & Grants: Supervises 12+ PhD students across multiple institutions. Active in funding projects like INKleSS (German Research Foundation) and FOSD Meeting 2024 (NWO). Leads collaborations with ASML, Danfoss, and Axis AB. Labs/Teams: Member of the Software Engineering and Technology (SET) group at TU Eindhoven, focusing on industrial-strength software systems and cognitive aspects of development.

• Software Engineering
• Software Evolution
• Variant-Rich Systems
• +۵ مورد دیگر

Paul Boersma is a Professor of Phonetic Sciences at the University of Amsterdam within the Faculty of Humanities. His research explores how phonetic, phonological, and morphological phenomena emerge through computational modeling using artificial neural networks and Optimality Theory, with a focus on multi-level constraint interactions and distributional learning. University of Amsterdam Faculty of Humanities Phonetic Sciences Key research areas include: Computational Modeling : Simulations of phonological category emergence from phonetic data Optimality Theory : Gradual Learning Algorithm applications BiPhon Framework : Parallel bidirectional phonology/phonetics models Statistical Learning : Cross-situational and distributional learning mechanisms Recent publications emphasize: 2025: Inclusive speech recognition systems using Whisper model 2025: F0 ratio analysis for creaky voice diagnostics 2024: Prosodic clitics in child speech and checked tones in Shanghai Chinese 2023: Distributional learning in developmental language disorder contexts 2022: Substance-free phonological features and ghost segment phenomena He has also contributed extensively to the Praat software for phonetic analysis, with continuous updates since 1993.

• Phonetics
• Phonology
• Computational Linguistics
• +۷ مورد دیگر

Dr. Ilias Gerostathopoulos is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute and the Department of Information Management & Software Engineering. He specializes in self-adaptive systems, cyber-physical systems, and machine learning operations (MLOps). His work focuses on software architectures for autonomous systems, decision-making under uncertainty, and experiment-driven adaptation frameworks. He teaches courses such as 'Fundamentals of Adaptive Software' and 'Information Management', emphasizing practical applications of adaptive systems and data-driven decision-making. Gerostathopoulos has been awarded the Best Presentation Award (2021) for contributions to evaluating self-adaptive systems. His research addresses challenges in industrial self-adaptation, MLOps architectures, and robotics. Key research themes include: Architecture-based self-adaptation in robotics and CPS MLOps frameworks and systematic analysis of AI systems Uncertainty management in autonomous systems Experiment-driven learning and tool development Notable contributions include the ExpEngine tool for workflow optimization and the ReBeT framework for robotic systems. His work bridges theoretical software engineering with practical industrial implementations.

• Cyber-Physical Systems
• Machine Learning
• Self-Adaptive Systems
• +۴ مورد دیگر

Paris Avgeriou is a Professor of Software Engineering at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Software Engineering and Architecture research group and serves as Editor-in-Chief of the Journal of Systems and Software . His expertise spans technical debt management, software architecture, self-adaptive systems, and embedded systems design. Avgeriou holds an office at Nijenborgh 9, Groningen, and actively advises academic institutions and funding bodies globally. Research Interests: Avgeriou's work focuses on advancing software architecture principles, technical debt lifecycle management, and the integration of AI in software engineering. His research emphasizes practical solutions for improving software quality, maintainability, and system dependability, particularly in embedded and self-adaptive contexts. Recent Contributions: Recent studies include frameworks for benefit-cost-risk decision-making in self-adaptive systems, automated technical debt management using ML, and tools for tracing architecture-related debt. He collaborates internationally, contributing to standards like the Copenhagen Manifesto for human-centered AI in software engineering. Grants & Awards: While no specific awards are listed, his editorial role and frequent conference contributions reflect recognition in the field. He chairs conference tracks and oversees workshops, fostering early-career researchers and artifact evaluation. Labs & Teams: His group is part of the Bernoulli Institute, working on platforms like SDK4ED for embedded systems and tools such as DebtViz for technical debt monitoring. The team explores intersections between systems engineering and software architecture in complex systems-of-systems.

• Software Engineering
• Technical Debt Management
• Software Architecture
• +۳ مورد دیگر

Anuj Pathania serves as an Assistant Professor in the Parallel Computing Systems (PCS) group within the Informatics Institute at the University of Amsterdam's Faculty of Science. His research pioneers sustainable computing systems operating under severe power, thermal, and reliability constraints, with significant contributions to energy-efficient hardware design and embedded systems. Education: PhD in Computer Science (2018), Karlsruhe Institute of Technology MSc in Computer Science (2012), National University of Singapore B.Tech in Computer Science (2009), Maharaja Agrasen Institute of Technology Pathania's research centers on low-power design and sustainable systems for constrained environments, with particular expertise in thermal management of 3D-stacked architectures and energy-efficient machine learning inference . His work bridges electronic design automation with real-world reliability challenges, developing novel power budgeting techniques like T-TSP that incorporate transient temperature effects ignored by conventional methods. Current projects include EU-funded initiatives on energy labeling for digital services, addressing ecological impacts through technological, behavioral, and legal frameworks. His publication trajectory reveals a strategic evolution toward zero-waste computing , with recent work (2023-2025) focusing on hardware-software co-design for edge AI, energy modeling across computing continua, and parameter-efficient neural adaptation. Key themes include thermal-aware scheduling for S-NUCA many-cores, cooperative processor utilization in heterogeneous systems, and sustainability metrics for digital services. Scientific Recognition: Best Paper Award Nomination at IEEE Computer Society Annual Symposium on VLSI 2023 for 3D-TTP power budgeting technique Pathania actively mentors 4 PhD students (Ehsan Aghapour, Saeedeh Baneshi, Sudam Wasala, Yixian Shen) and has successfully supervised 5 Master's theses (including Cum Laude defenses by Joris op ten Berg and Jurre Wolff). His research is supported by major grants including Energy Labels for Ecologically Sustainable Digital Services (2023-2024) and Towards Zero-Waste Computing (2021-2025), developing simulation frameworks like HotSniper and CoMeT for thermal analysis. The PCS group maintains strong industry collaborations with ARM and NVIDIA, particularly through tools like ARM-CO-UP for heterogeneous processor utilization.

• Low Power Design
• Sustainable Systems
• Electronic Design Automation
• +۴ مورد دیگر

Marcus Gerhold is an Assistant Professor in the Formal Methods and Tools group at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on model-based testing for software reliability in critical infrastructures, particularly railway systems, alongside significant contributions to game design and programming language analysis. His educational background includes: PhD in Computer Science from University of Twente (2018): Choice and Chance: Model-based Testing of Stochastic Behaviour MSc in Mathematics from Friedrich Schiller Universität Jena (2013): Embeddings of Weighted Morrey Spaces BSc in Mathematics from Friedrich Schiller Universität Jena (2011): Entropy-, Approximation- and Kolmogorov Numbers on Quasi-Banach Spaces Gerhold's research integrates theoretical model-based testing with practical critical infrastructure applications . His work on railway conformance testing addresses EULYNX controller validation, while his game design research explores affective mirroring in NPCs and procedural dungeon generation. The code modernity analysis stream leverages static analysis to quantify legacy code evolution across languages like Python and PHP, revealing version identification challenges through deep learning. Publication trends show consistent focus on model-based testing methodologies (40%), railway safety applications (25%), and innovative game design/code analysis (35%). Recent work increasingly incorporates AI/ML techniques for UML assessment and Python version identification, while maintaining rigorous formal methods foundations. He actively mentors 63 students across all academic levels and contributes to major research initiatives: STORM_SAFE (ERDF, 2024): Daily Supervisor for WP1/WP2 on software reliability for critical infrastructures ZORRO (KIC grant, 2023): Daily Supervisor for WP4 on zero downtime in cyber-physical systems MISSION (MSCA RISE, 2021-2025): Interim coordinator (early 2024) for space systems modeling As part of the Formal Methods and Tools research group, Gerhold participates in European collaborations while serving on SAC-SVT 2024 and FormaliSE 2023 program committees.

• Model-Based Testing
• Software Reliability
• Critical Infrastructures
• +۷ مورد دیگر

Prof. P. (Paris) Avgeriou is a full professor of Software Engineering at the Faculty of Science and Engineering , University of Groningen (RUG). His research focuses on software architecture , technical debt management , and self-adaptive systems through empirical studies and industrial collaborations. His work explores architectural decision-making using financial investment models, machine learning for debt detection, and dependency analysis in software systems. Recent projects include SDK4ED for energy-efficient embedded systems and DebtViz for debt visualization. Key article trends include technical debt lifecycle analysis (2023-2025), self-adaptive systems (2025), and modular architecture challenges (2024). Keywords span Computer Science , Machine Learning , and Software Systems . As an ancillary academic activity , he serves as editor for the Journal of Systems and Software (Elsevier). His collaborations extend to institutions in the Netherlands, Brazil, and Italy, with research outputs appearing in IEEE and ACM venues.

• Software Architecture
• Technical Debt Management
• Self-Adaptive Systems
• +۴ مورد دیگر

Jürgen Pfeffer is a Professor of Computational Social Science & Big Data at the Technical University of Munich's School of Social Sciences and Technology, with an additional appointment as Adjunct Professor at Carnegie Mellon University's Institute for Software Research. His interdisciplinary work bridges computer science and social science with a focus on analyzing large-scale socio-technical systems. His research expertise spans computational social science, network analysis, and big data methodologies. Pfeffer's work examines methodological, algorithmic, and theoretical challenges in analyzing dynamic social systems, with current projects focusing on modeling and detecting negative dynamics from social media, particularly online firestorms and hate speech against politically active women. His research combines network science approaches with computational methods to understand complex social phenomena. Pfeffer's publication record demonstrates significant contributions to the field since his 2010 doctorate, with high-impact papers in journals like Science and EPJ Data Science. His work on social media analysis, particularly the influential 2014 Science paper 'Social Media for Large Studies of Behavior' co-authored with Derek Ruths, has shaped methodological approaches in the field. His research shows consistent evolution from foundational network analysis to contemporary applications in political discourse, hate speech detection, and multi-layer network analysis. Hennig, M., Brandes, U., Pfeffer, J., & Mergel, I. (2012). Studying Social Networks. A Guide to Empirical Research Ruths, D., & Pfeffer, J. (2014). Social Media for Large Studies of Behavior Pfeffer, J., Morstatter, F., & Mayer, K. (2018). Tampering with Twitter's Sample API As an advisor and collaborator, Pfeffer has worked extensively with researchers including Raji Ghawi, Mirco Schönfeld, Momin Malik, and Kathleen Carley. His work demonstrates strong connections between theoretical network science and practical applications in social media analysis. His current research continues to address pressing issues in online discourse, with recent work focusing on hate speech classification, lexical change in negative word-of-mouth, and polarization dynamics in social media environments. Pfeffer leads the Pfeffer Lab, which focuses on developing methodological approaches for analyzing complex social systems through computational methods. His work has implications for understanding political legitimacy, social influence, and community dynamics in both online and offline contexts.

• Computational Social Science
• Big Data Analysis
• Social Network Analysis
• +۵ مورد دیگر

Dr. Ramona Roller is a Researcher in Sociology at the Faculty of Social and Behavioural Sciences, Utrecht University. She is affiliated with the Chair Buskens Social Networks, Solidarity and Inequality and contributes to the Institutions for Open Societies (IOS) initiative, specifically focusing on Behaviour and Institutions and In-Equality research areas. Her research expertise spans Analytical Sociology, Experimental Sociology, Computational Humanities, Computational Social Sciences, and Network Analysis. Dr. Roller employs a complex systems perspective to study how local human interactions give rise to global group phenomena. Her work focuses on two main areas: cooperation in modern work teams and the diffusion of ideas in historical societies. In her research on contemporary teams, Dr. Roller investigates fair, productive, and sustainable cooperation through the spontaneous emergence of roles in software development teams. She is part of the SCOOP project (Sustainable COOPeration), collaborating with Rafael Wittek from Groningen and Vincent Buskens from Utrecht. On a societal level, she studies the evolution and spread of ideas during the Reformation in 16th-century Europe using letter correspondences of scholars. This interdisciplinary work involves collaboration with researchers from historiography, theology, and linguistics to address complex challenges in historical analysis. Dr. Roller applies diverse research methodologies including field studies, behavioral experiments, social network analysis, spatio-temporal modeling, and causal inference methods. Her recent publications demonstrate expertise in computational approaches to historical data, particularly in analyzing 16th-century correspondence networks and territorial concepts.

• Analytical Sociology
• Experimental Sociology
• Computational Humanities
• +۶ مورد دیگر

Natasha Dmoshinskaia is an Assistant Professor specializing in educational technology and learning processes. Her research focuses on peer feedback mechanisms, inquiry-based learning, and the impact of digital environments on education. She contributes to UN Sustainable Development Goals related to Quality Education (SDG 4) and Partnerships for the Goals (SDG 17). Her work explores trends in teacher development, digital learning policies, and collaborative learning systems. Recent studies include analyzing feedback effectiveness in online platforms, gamified learning environments, and the role of concept maps in knowledge acquisition. Key research themes include educational policy analysis, student engagement strategies, and the design of future-proof learning systems. Her publications span peer-reviewed journals and conference proceedings, emphasizing practical applications in K-12 and university settings. Notable contributions include a 2025 review on holistic student development through digital learning and a 2023 analysis of peer feedback in online inquiry environments. Her h-index is 42, reflecting significant scholarly impact.

• Educational Technology
• Peer Learning
• Online Learning Environments
• +۳ مورد دیگر

Arend van Peer is a Researcher in Plant Breeding at Wageningen University & Research, specializing in fungal biology and biotechnology. His work focuses on leveraging white rot fungi for applications in sustainable agriculture, including lignocellulosic biomass conversion, mycelium-based materials, and improving feed quality for ruminants. Key projects include developing circular leather alternatives and optimizing fungal strains for industrial uses. He leads initiatives like the 'Right Fungus for the Right Job' program and collaborates on interdisciplinary projects bridging horticulture and mushroom cultivation. Peer has contributed to genomic studies of Agaricus bisporus and Pleurotus species, advancing understanding of fungal genetics and reproductive mechanisms. His research integrates molecular biology, genomics, and applied biotechnology to address agricultural challenges. Notable achievements include pioneering agar-based screening methods for fungal incompatibility and co-developing the DigiFungi educational software. Peer actively participates in academic and professional seminars, emphasizing circular economy principles and cross-sectoral innovation.

• Plant Breeding
• Fungal Biology
• Lignocellulose Degradation
• +۳ مورد دیگر

Ayushi Rastogi is an Assistant Professor at the University of Groningen, affiliated with the Software Engineering group in the Bernoulli Institute under the Faculty of Science and Engineering. She holds a PhD from IIIT-Delhi and has conducted postdoctoral research at TU Delft and the University of California, Irvine, with additional experience as a visiting researcher at Microsoft Research. Her research focuses on data analytics and AI-driven solutions for software engineering challenges, particularly in open-source ecosystems and developer communities. Key interests include psychological safety in OSS, pull request dynamics, and fairness in software practices. She actively contributes to EDI initiatives through Informatics Europe and the Netherlands' IPN EDI committee. Her work combines empirical software engineering and repository mining to address real-world software challenges. Notable contributions include analyzing fork sustainability in developer communities and exploring code review velocity. She has received the MSR Rich Holt Early Career Achievement Award 2025 and serves as an Associate Editor for IEEE Software. Her GitHub repository 'fsoc' investigates fork impact on developer community sustainability, and she leads projects like OpenDataology for AI dataset compliance. Awards include the 2022 Best Disruptive Paper Award (ISSRE) and supervision of the MSR 2024 Distinguished Doctoral Award-winning thesis by Dr. Gunnar Kudrjavets. She chairs MSR 2025 and frequently presents on topics like gender equality in tech and burnout prevention. Her research spans compiler analysis, memory management, and EDI policy design in ICT sectors.

• Computer Science
• Software Engineering
• Empirical Software Engineering
• +۵ مورد دیگر

Dr. Pedro Santoro Zambon serves as a Researcher at Utrecht University's Faculty of Science within the Department of Software Technology for Learning and Teaching, where he leads the Collaborative Technologies Lab's GameDevUp project under a prestigious Marie Sklodowska-Curie Postdoctoral Fellowship. Concurrently, he holds the position of Vice Chairman for the Game Incubation Special Interest Group at the International Game Developers Association (IGDA), bridging academic research with industry practice. His academic credentials include a Ph.D. in Communication from São Paulo State University (UNESP) and specialized training in Evidence-Based Public Policy at the University of Oxford's Blavatnik School of Government. This foundation supports his dual expertise in game development methodologies and policy analysis. Zambon's research centers on human-centered artificial intelligence applications for game developers, with particular emphasis on cultural policy frameworks and innovation ecosystems. His work examines how algorithmic matchmaking systems can optimize team collaboration while analyzing policy implementation challenges in creative industries, especially within Brazil's rapidly evolving digital games sector. Methodologically, he combines qualitative field research with quantitative industry census data to evaluate policy effectiveness. Analysis of his 15 most recent publications reveals consistent thematic focus on Brazilian game industry policy evolution, independent developer challenges, and pandemic impacts. His work demonstrates methodological rigor in policy evaluation while highlighting sector-specific innovation patterns, particularly regarding university-industry knowledge transfer and creative cluster development. Marie Sklodowska-Curie Postdoctoral Fellowship (GameDevUp project) Civil Society Representative, Brazilian National Council for Cultural Policies (2019-2022) Chair, Industry Track of Brazilian Games Symposium (2016-2020) Zambon maintains active advisory roles including Game Jam Plus coordination since 2021 and previously served as Market Intelligence Consultant for Brazil's Game Developers Association (Abragames, 2019-2020). His grant portfolio features commissioned research for WIPO, Procolombia, Sebrae, and the Brazilian Ministry of Culture, with current funding from the European Commission's Marie Curie program supporting his algorithmic collaboration research. He actively contributes to the Collaborative Technologies Lab at Utrecht University while expanding international networks through IGDA's Game Incubation SIG, fostering cross-border knowledge exchange between European and Latin American game development communities.

• Game Research
• Human-centered Artificial Intelligence
• Human-Computer Interaction
• +۶ مورد دیگر