جستجوی استاد راهنمای دانشگاهی

Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data at the Analytics for Information Systems group, Eindhoven University of Technology (TU/e), School of Mathematics and Computer Science. He combines formal methods with data-driven approaches to analyze complex distributed systems through event data. His current research focuses on process mining, data engineering, and multi-dimensional analysis of business processes. Academic Background: PhD from Humboldt-Universität zu Berlin and TU/e under Profs Wolfgang Reisig and Wil van der Aalst Post-Doc at TU/e on EU-funded ACSI project Research stays at Weizmann Institute, HPI Potsdam, and National University of Singapore Appointments: Assistant Professor (2013), Tenure (2016), Associate Professor (2019) Research Interests: Dirk's work centers on analyzing complex systems through event data by developing techniques for large-scale preprocessing, model synthesis, and multi-angle behavioral analysis. He explores object-centric process mining, anomaly detection, and knowledge graph applications for auditing. His research emphasizes balancing model accuracy with simplicity and integrating domain knowledge for explainable process analysis. Scientific Awards: Best Paper Award BIS 2011 Best Paper Award BPM 2011 Best Paper Award ICPM 2020 Best Paper Award ICPM 2021 Best Reviewer Award ICPM 2019 Educational Contributions: He manages the "Data Science in Engineering" Master's program, leads the "Data Challenge" course series at JADS, and teaches advanced process mining courses. He also contributes to BPMN visualization and performance monitoring education.

• Process Mining
• Data Engineering
• Complex Systems Analysis
• +۳ مورد دیگر

Dr. Vincent Blijleven is a Lecturer and Visiting Fellow at Nyenrode Business Universiteit, specializing in digital transformation, lean IT implementations, and healthcare informatics. His research focuses on optimizing IT systems in clinical and organizational contexts, particularly addressing workarounds in electronic health record systems and critical success factors for Lean practices in IT outsourcing. Education: He earned a Business Informatics degree cum laude from Utrecht University and a PhD from Nyenrode Business Universiteit, with his thesis investigating workarounds in academic hospital settings and Lean IT transformations, supported by institutions like the University of Amsterdam and companies such as McKinsey & Company. Research Interests: Digitalization strategies and execution Lean and agile transformations in IT EHR system usability and safety IT outsourcing partnerships Healthcare process optimization Key Awards: 2018 IMIA Yearbook Best Journal Article (Medical Informatics) BAZIS Prize for Best PhD Research in Clinical Informatics (2017-2018) Human Factors NL Dissertation Award (2016-2019) His work bridges societal, technological, and strategic challenges, with notable contributions to frameworks like SEWA for analyzing EHR workarounds and studies on critical success factors for Lean IT outsourcing. He actively collaborates with industry partners like ABN AMRO and Achmea, applying academic insights to real-world organizational challenges.

• Digital Transformation
• Lean Implementation
• Healthcare Informatics
• +۳ مورد دیگر

Ravindra Laxman Shinde is a Researcher in Computational Chemical Physics at the MESA+ Institute, University of Twente. His work focuses on quantum Monte Carlo methods, exascale quantum simulations, and high-performance software development for accurate electronic structure calculations. Research Interests: Quantum Monte Carlo (QMC) Machine-Learned Force Fields Exascale Computing Electronic Structure Theory Scientific Software (CHAMP, AiiDA) Reproducibility in Computational Physics His recent publications highlight a strong trend in developing robust, scalable software solutions for quantum mechanical simulations, particularly in navigating hardware-software challenges at the exascale. His work bridges theoretical physics, computational chemistry, and computer science, with a focus on practical implementation and data integrity. Scientific Awards: FAIR data fund 4TU 2024 Advising and Grants: While specific students are not listed, Shinde is deeply involved in large-scale collaborative research projects such as TREX and NWO CHAINS, indicating leadership in grant-funded, team-based scientific computing initiatives. His role in creating software and datasets suggests mentorship in computational methods and data practices. Labs and Teams: He is a key contributor to the TREX project and the development of the CHAMP software suite, working within interdisciplinary teams focused on advancing quantum simulation capabilities at the exascale.

• Computational Chemical Physics
• Quantum Monte Carlo
• Electronic Structure Theory
• +۷ مورد دیگر

Marcello Bonsangue is a full Professor of Systems Modelling and Analysis at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. He holds additional roles as Scientific Director of LIACS, coordinator for international students, and member of the LIACS management team and Scientific Council. His research focuses on formal methods, coalgebra, automata theory, and program semantics. He has led numerous EU-funded projects including ECoPro (2014-2018) and CoRE (2010-2015). Education: BSc from University of Milano, PhD from Free University of Amsterdam (1996). Memberships include IFIP WG 1.3, IEEE Benelux Embedded Systems Chapter, and editorial roles for journals like Frontiers in ICT and Open Computer Science. He advises multiple PhD candidates and collaborates with institutions like CWI Amsterdam and East China Normal University.

• Formal Methods
• Program Verification
• Coalgebra
• +۷ مورد دیگر

Daniel Feitosa is an Assistant Professor in the Faculty of Science and Engineering at the University of Groningen, affiliated with the Software Engineering and Architecture (SEARCH) group led by Prof. Paris Avgeriou. His research focuses on software quality, technical debt management, automation in software projects, and energy efficiency in AI/ML systems. He holds a Ph.D. in Computer Science from the University of Groningen and has extensive experience in both academia and industry. Research Interests: Automation of software processes and technical debt management Source code analysis and mining software repositories Energy efficiency in AI/ML applications Software architecture and design patterns Teaching Roles: He coordinates and teaches courses such as Software Architecture , Advanced Object-Oriented Programming , and Algorithmic Programming Contests at both BSc and MSc levels. Awards: Distinguished Paper Award at the 2nd International Conference on AI Engineering (CAIN 2023) Service & Engagement: He serves on the boards of the Dutch National Association for Software Engineering (VERSEN) and the Steering Committee of the European Conference on Software Architecture (ECSA). He has organized workshops and tracks at major conferences like TechDebt, SEAA, and SANER.

• Software Quality
• Source Code Analysis
• Mining Software Repositories
• +۳ مورد دیگر

Dr. Rob Govers is an Associate Professor in Tectonophysics at the Department of Earth Sciences, Faculty of Geosciences, Utrecht University. His research focuses on the geodynamics of plate boundaries, lithosphere to upper mantle scale deformation processes, and the earthquake cycle with particular emphasis on subduction zones. His work integrates geophysical observations with numerical modeling to understand tectonic processes across various spatial and temporal scales. Dr. Govers' primary research interests lie in the geodynamics of plate boundaries and the earthquake cycle, with specific focus on subduction zones. He develops and utilizes numerical modeling tools (including GTECTON and GFLEX) to solve partial differential equations related to tectonic processes. His research spans multiple geographical regions including the active margins of the North American continent, the Caribbean region, and the Mediterranean-Tethys region including Tibet. His work bridges observational geophysics with theoretical geodynamics to better understand how plate boundaries behave over seismic and geological timescales. His expertise encompasses earthquake analysis, geothermal energy systems, rheology, and sedimentary basin evolution. Analysis of Dr. Govers' recent publications reveals a strong focus on earthquake cycle modeling, particularly at subduction zones. His work increasingly incorporates data assimilation techniques and Bayesian inference methods to constrain geodynamic models. There's a clear trend toward integrating multiple data sources (geodetic, geological, and paleoseismic) to develop more comprehensive models of tectonic processes. His research also addresses practical applications including land subsidence related to hydrocarbon extraction and the impacts of deglaciation on crustal deformation, demonstrating the relevance of fundamental geoscience to societal challenges. Dr. Govers has maintained an active research program with extensive collaborations both within Utrecht University and internationally. His research is supported by various grants that enable computational modeling, fieldwork, and participation in major scientific conferences. He has supervised numerous graduate students and postdoctoral researchers, contributing to the next generation of geoscientists. Dr. Govers is associated with research groups focused on computational geophysics and tectonics at Utrecht University. He contributes to the development and application of the GTecton finite element modeling package, which is used for simulating various geodynamic processes including glacial isostatic adjustment and earthquake cycles. His work often involves interdisciplinary collaboration between geophysicists, geologists, and computational scientists, highlighting the integrative nature of modern Earth sciences research.

• Tectonophysics
• Earthquake Cycle
• Plate Tectonics
• +۵ مورد دیگر

Luis Lima Valente is an Affiliate Associate Professor at the University of Groningen , affiliated with the Faculty of Science and Engineering and the Theoretical and Evolutionary Community Ecology group led by Rampal Etienne. He is also a Senior Researcher at the Naturalis Biodiversity Center in Leiden, Netherlands. His work bridges theoretical and empirical approaches to study biodiversity patterns in island and continental hotspots. PhD in Evolutionary Biology (CSIC - Royal Botanic Garden Madrid) MSc in Ecology, Evolution, Conservation (Imperial College London) BSc in Biology (University College London) Valente's research focuses on the origins of biodiversity in geographical contexts. He combines fieldwork, phylogenetics, genomics, and computational models to unravel diversification dynamics over evolutionary timescales. His studies span plants, birds, and mammals, with particular emphasis on island ecosystems and human-driven extinctions. His recent publications highlight methodological advancements in island biogeography through tools like DAISIEprep and theoretical insights into trait-dependent diversification rates. Key themes include adaptive radiation, dispersal permeability, and climate-driven speciation patterns in mountain systems. Projects such as Untangling species diversification on islands: The role of traits (2021–2025) demonstrate his leadership in collaborative research. He is frequently involved in academic presentations and public engagement, notably regarding Madagascar's biodiversity crisis.

• Evolutionary Biology
• Biodiversity
• Island Biogeography
• +۴ مورد دیگر

Dr. ir. Cynthia C.S. Liem is an Associate Professor in the Multimedia Computing department at Delft University of Technology, specializing in ethical and reliable AI frameworks. Her work bridges machine learning, human-computer interaction, and societal impact. Academic Rank: Associate Professor Department: Multimedia Computing School: Electrical Engineering, Mathematics and Computer Science Liem’s research focuses on Explainable AI , Algorithmic Transparency , and AI Ethics , emphasizing fairness in machine learning and societal implications of autonomous systems. Recent publications explore adversarial testing, energy-constrained counterfactuals, and critiques of unscientific AGI claims. Her most recent articles highlight trends in autonomous vehicle testing , AI explainability , and ethical algorithmic design , leveraging techniques like conformal prediction and differential evolution . Scientific Awards : SBFT 2023 Best Paper Award TU Delft Education Fellow WWW 2018 Challenge Winner 2024 Women in AI Netherlands Diversity Leader Award Liem serves as an advisor for DUO’s research ethics audits and frequently contributes to public discourse on AI’s societal role, appearing in national media outlets like Delta and Trouw . She also leads datasets on music representation learning and algorithmic recourse.

• Machine Learning
• Artificial Intelligence
• Ethics
• +۷ مورد دیگر

Dr. Marc van der Sluys van der Sluijs is a researcher at Utrecht University's Department of Gravitational and Subatomic Physics (GRASP) and the Dutch National Institute for Nuclear and High Energy Physics (Nikhef) in Amsterdam. His academic focus spans gravitational-wave detection, binary evolution, and computational astrophysics, with active roles in the Virgo, LIGO, and Einstein Telescope collaborations. Research Interests: His work centers on gravitational-wave data analysis, neutron star and black hole coalescences, common-envelope evolution, and multi-messenger astronomy. He employs heavy computing and Bayesian statistics for empirical modeling of astrophysical phenomena. Teaching: He teaches Introduction to Astrophysics and Stellar Evolution in Utrecht University's physics bachelor program. Publications: His recent articles (2019–2025) predominantly explore gravitational-wave detection methodologies, dark matter searches, and solar position algorithms. Key themes include machine learning applications in astrophysics, multi-instrument data analysis, and open-source software development for scientific computation. Ancillary Activities: He founded hemel.waarnemen.com , a popular Dutch astronomy website with 1–2 million annual visits, providing observational guides for celestial phenomena in Belgium and the Netherlands.

• Astrophysics
• Gravitational Waves
• Binary Evolution
• +۳ مورد دیگر

Joseph Felsenstein is Professor in the Departments of Genome Sciences and Biology, with adjunct appointments in Statistics and Computer Science and Engineering at the University of Washington, Seattle. He serves as Past President of the Society for the Study of Evolution and sits on the editorial boards of five major journals. His pioneering research centers on computational methods for evolutionary analysis, where he developed the industry-standard PHYLIP (Phylogeny Inference Package) and LAMARC software suites. This work bridges evolutionary biology, mathematical modeling, and computational science to solve complex phylogenetic problems, establishing foundational algorithms for maximum likelihood and coalescent theory in molecular evolution. His interdisciplinary approach integrates genetics, taxonomy, and statistical inference to reconstruct evolutionary histories across diverse biological systems. Dr. Felsenstein's exceptional contributions have been recognized with the highest international honors: Weldon Memorial Prize Darwin-Wallace Medal from the Linnean Society of London John J. Carty Award from the National Academy of Sciences 2013 International Prize for Biology (Japan) Election to the National Academy of Sciences Election to the American Academy of Arts and Sciences He maintains active scholarly engagement as a PeerJ Advisor & Reviewer with 35+ contributions, focusing on evolutionary studies and computational science. His software projects continue evolving through dedicated GitHub repositories (PHYLIP and LAMARC), supporting global research in phylogenetics while reflecting his commitment to open scientific infrastructure.

• Evolutionary Biology
• Phylogenetics
• Computational Biology
• +۳ مورد دیگر

Elisabetta Di Nitto serves as Full Professor at Politecnico di Milano within the Department of Electronics, Information and Bioengineering, teaching Software Engineering 2 and Informatica B (in Italian). Her academic leadership extends to editorial and conference organization roles across premier software engineering venues. Her research program centers on evolving software systems through: Cloud-native application engineering and elasticity management Self-adaptive architectures for dynamic environments Service-centric and autonomic computing paradigms NoSQL database integration and scalability challenges Global/open source development methodologies Dr. Di Nitto has significantly shaped the field through editorial stewardship of ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, SOCA Journal, and Journal of Software: Evolution and Process. She chaired pivotal conferences including ESEC/FSE 2015 (General Chair), SEAMS 2020, ASE 2010, and ServiceWave 2010 (Program Co-Chairs). No scientific awards were documented in the provided materials. Her mentorship encompasses numerous Master's students whose theses address cloud migration frameworks, software forge awareness, QoS optimization in decentralized clouds, and scalable NoSQL relation handling.

• Software Engineering
• Cloud Computing
• Self-Adaptive Systems
• +۷ مورد دیگر