جست‌وجوی استاد و پژوهشگر

Kurt Schmollerمشاهده پروفایل

پژوهشگر

• Cell Size Control
• Organelle Size Regulation
• Histone Homeostasis
• +۵ مورد دیگر

Dr. Kurt Schmoller is a Group Leader at Helmholtz Munich, heading the Schmoller Lab within the Institute of Functional Epigenetics (IFE). His research focuses on understanding how cells regulate their size, maintain organelle homeostasis during growth, and adjust protein composition according to cell size. The lab employs interdisciplinary approaches combining quantitative biology, live-cell microscopy, AI-based image analysis, and mathematical modeling. Dr. Schmoller received his Diploma in Biophysics from TU München (2004-2008), followed by PhD studies at TU München in Andreas Bausch's lab (2008-2012), where he studied the mechanics of in vitro reconstituted cytoskeletal networks. He then pursued postdoctoral research at Stanford University with Jan Skotheim (2012-2017), developing his interest in cell size regulation. Since 2017, he has led the 'Cell Size and Organelle Control' research group at Helmholtz Munich. His research spans four main areas: Maintenance and Adaptation of Cell Size, Histone Homeostasis, Mitochondrial DNA Maintenance, and AI for live-cell imaging data analysis. Using model organisms including budding yeast (S. cerevisiae) and green algae (C. reinhardtii), his lab investigates fundamental cellular processes that are broadly conserved across eukaryotes. His work has significant implications for understanding diseases like cancer where cell size regulation is often disrupted. Analysis of his recent publications reveals a strong focus on the relationship between cell size and various cellular processes, with particular attention to histone regulation, mitochondrial DNA homeostasis, and the development of AI tools for image analysis. His work bridges molecular biology, biophysics, and computational approaches to address fundamental questions in cell biology. Dr. Schmoller leads a diverse research team including postdocs, doctoral researchers, and technicians working across multiple projects. His lab has developed notable tools such as Cell-ACDC, an open-source software for bioimage analysis that has been adopted by multiple laboratories. The lab maintains strong collaborations across institutions and participates in the broader 'Epigenetics at Helmholtz Munich' initiative. The Schmoller Lab operates from the Neuherberg Campus (Building 35.26 / Room 014) and maintains an active presence through their lab website, BioRxiv, and GitHub repositories. Their work receives support from Helmholtz Munich's infrastructure and resources, including access to advanced microscopy facilities and computational resources for AI-based image analysis.

Edward J. Foxمشاهده پروفایل

استاد

• Retail Management
• Consumer Behavior
• Marketing Science
• +۳ مورد دیگر

Edward J. Fox is a Professor of Marketing and the Dean’s Distinguished Research Professor at Southern Methodist University's Cox School of Business . He serves as the W.R. & Judy Howell Director of the JCPenney Center for Retail Excellence , focusing on retail management and shopping behavior. Dr. Fox holds a PhD in Marketing from the University of Pennsylvania's Wharton School, an MBA and MS from Northwestern University, and a BS from the United States Military Academy at West Point. Education : PhD, Marketing, University of Pennsylvania - Wharton School MA, Marketing, University of Pennsylvania - Wharton School MBA, Northwestern University MS, Northwestern University BS, United States Military Academy at West Point His research spans retail management (assortment, pricing, promotion, store location) and consumer shopping behavior , emphasizing economic foundations in modeling customer decisions. Recent publications analyze mergers, multiproduct strategies, and retail format evolution. He has consulted with leading grocery retailers and packaged goods manufacturers, co-authoring practical guides on category management. At SMU, Dr. Fox teaches courses in data analytics , advanced pricing management , and retailing analytics , integrating secondary data, surveys, and experiments into managerial decision-making. His prior roles at Northwestern University’s Kellogg School of Management included research director of the Center for Retail Management and adjunct assistant professor.

Daniel Groseمشاهده پروفایل

پژوهشگر ارشد

• Time Series Analysis
• Change Point Detection
• Anomaly Detection
• +۳ مورد دیگر

Daniel Grose is a Research Fellow in Research Software Engineering at Lancaster University's School of Mathematical Sciences, specializing in statistical computing and reproducible research methodologies. He teaches advanced programming courses including STOR-601 modules (Introductory Python, R, C++ for Python Programmers, Interfacing R and C++), MATH-550 Python, and STOR-609 Programming for Reproducible Research. His research focuses on time series analysis with emphasis on anomaly detection and change point detection algorithms. He develops practical statistical software implementations in R, creating tools for identifying structural breaks and anomalous patterns in complex datasets. His work bridges theoretical statistics with real-world computational applications, particularly in developing efficient algorithms for large-scale time series analysis. Recent publications demonstrate a clear trend toward creating robust, user-friendly software packages for statistical practitioners, with both 2024 Journal of Statistical Software articles focusing on implementing change detection methodologies in accessible R frameworks. His research outputs prioritize practical utility alongside theoretical rigor. Scientific awards: No awards or fellowships mentioned in available documentation. Advising and grants: No information provided regarding student supervision, grant funding, or research projects beyond publication records. He is actively involved with the Changepoints and Time Series research group, which concentrates on advancing methodological approaches for detecting structural changes in sequential data across various application domains.

Ceyhun Uçukمشاهده پروفایل

استادیار

• Gastronomy
• Culinary Arts
• Neurogastronomy
• +۵ مورد دیگر

Ceyhun Uçuk is an Assistant Professor at Gaziantep University's Faculty of Tourism, Department of Gastronomy and Culinary Arts, with concurrent appointments at Tekirdağ Namık Kemal University, Istanbul Topkapi University, and Istanbul Gelişim University. His academic journey began with a B.A. in Gastronomy and Culinary Arts from Gaziantep University (2010-2014), followed by a Master's degree in the same field (2014-2017), and culminated with a Ph.D. from Nevşehir Hacı Bektaş Veli University (2019-2022). Dr. Uçuk's research spans the exciting intersection of gastronomy, neuroscience, and technology. His primary research interests include neurogastronomy, plate presentation techniques, gastrodiplomacy, and the application of artificial intelligence in culinary contexts. He has developed a distinctive research profile examining how visual presentation affects food perception, cross-cultural food acceptance, and the integration of technology in culinary innovation. His publication record demonstrates significant scholarly impact with 36 books and book chapters, 34 peer-reviewed articles, and 30 conference proceedings. Recent publications (2023-2025) reveal a strong focus on contemporary gastronomic challenges including sustainable food systems, neurogastronomy applications, food presentation psychology, and gastrodiplomacy. His work appears in both Turkish and international journals across food science, tourism, and interdisciplinary fields. Among his notable scientific achievements are the Public Scientific Publication Incentive Award (2022) and the Civil Society Organization Turkey&Tunus Relations Contribution Award (2022). He has successfully supervised multiple doctoral and master's theses, demonstrating strong mentorship capabilities in gastronomic research. Dr. Uçuk serves as the Domestic Erasmus Coordinator at Gaziantep University (2023-present) and previously held positions as Gastronomy and Culinary Arts Department Internship Coordinator (2022) and Disability Unit Responsible (2020). His active engagement with professional organizations includes membership in The International Society of Neurogastronomy and Slow Food International, reflecting his commitment to advancing gastronomic science and sustainability.

• IT Security
• Cybersecurity
• Open-Source Software Analysis
• +۳ مورد دیگر

Tobias Dam serves as an Academic Professional at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences. His work focuses on practical cybersecurity challenges with emphasis on open-source software ecosystems, data space security, and web-based threats. Based in the B-Campus-Platz 1 location, he actively contributes to both research and educational initiatives in IT Security. His educational background includes completing HTL St. Pölten's Department of IT/Computer Science program from 2008-2013, followed by a Bachelor's degree in IT Security at St. Pölten University of Applied Sciences from 2013-2016. He gained practical experience in 2015 working on software development, security, and configuration management in the "upribox" project. Since 2016, he has been pursuing a Master's degree in Information Security at the same institution. Dr. Dam's research spans multiple critical areas in modern cybersecurity, with particular expertise in analyzing vulnerabilities in open-source software ecosystems. His work on critical open-source software databases represents significant contributions to understanding the "health status" of important open-source projects. He has also made notable advances in data space security, developing policy patterns for usage control, and conducting extensive analyses of web-based threats including typosquatting, pop-up scams, and cryptojacking. His research uniquely bridges theoretical frameworks with empirical analysis of real-world security issues, often examining how privacy techniques like k-anonymity impact machine learning classifiers and how data deletion affects model integrity. His publication record demonstrates consistent contributions to major cybersecurity conferences and journals, with recent work focusing on dataspace connector implementations, critical open-source software metrics, and vulnerability assessment in open-source packages. His research trajectory shows increasing specialization in the security challenges of modern data ecosystems while maintaining strong connections to practical implementation concerns. Through his video presentations on cloud services versus self-operated programs and secure remote corporate IT access, Dr. Dam actively engages in knowledge transfer to broader technical audiences beyond traditional academic publication channels.

• Energy Security
• Energy Policy
• Energy Transitions
• +۳ مورد دیگر

Mehmet Efe Biresselioğlu serves as Professor of Energy Policy in the Department of Political Science and International Relations at İzmir University of Economics, where he holds dual leadership roles as founding Dean of Graduate School and Head of Sustainable Energy Division. He additionally contributes to international energy governance as Management Board Member of European Energy Research Alliance’s Joint Programme and Head of Izmir Circle of Mediterranean Citizens’ Assembly (ACIMEDIT). His academic journey includes a PhD from IMT Institute for Advanced Studies (Lucca, Italy) with Doctor Europaeus recognition, an MA in European Studies from University of Turku (Finland), and BA in Political Science from Bilkent University (Turkey). Earlier education was completed at TED Ankara College. Biresselioğlu's research centers on energy security frameworks, social acceptance of energy transitions, and policy impact assessment across five interconnected domains: energy security in policy-making, collective energy choices, evaluation of environmental policies, methodology development for impact assessment, and resource curse dynamics. His work bridges technical energy systems with socio-political dimensions of sustainability transitions. Analysis of his 15 most recent publications reveals consistent focus on European and Turkish energy landscapes, with growing emphasis on behavioral aspects of sustainability transitions since 2020. Key thematic clusters include energy security governance (35% of publications), decarbonization barriers (27%), data infrastructure for low-carbon transitions (18%), and Arctic resource geopolitics (8%). TÜBİTAK Young Scientist Incentive Award on Social Sciences (2020) He directs significant research initiatives including Horizon 2020 projects (ECHOES, EERADATA, eCREW, ENCHANT, DIALOGUES, CAMPAIGNers) as Work Package Manager, TÜBİTAK/BAP projects as Coordinator, and the Norwegian Research Council-funded CURE project. His international collaboration network spans Den Haag University, University of Aalborg, Budapest College of Management, University of Salerno, and University of Minho where he served as Visiting Lecturer. Biresselioğlu leads the Sustainable Energy Division at İzmir University of Economics while contributing to European energy research through EERA’s Joint Programme. His work integrates academic research with practical policy development through ACIMEDIT’s citizen assembly framework and ongoing collaboration with Norwegian Institute of International Affairs and Finnish Business and Policy Forum.

• Biomedical Signal Analysis
• Independent Component Analysis (ICA)
• Unsupervised Learning
• +۳ مورد دیگر

Jeffrey Durieux is a guest researcher at Leiden University, affiliated with the School of Social and Behavioural Sciences and the Department of Methodology and Statistics . He holds a Master of Science (cum laude) in Methodology and Statistics in Psychology and a Bachelor of Science (cum laude) in Psychology from the same institution. His research focuses on integrating unsupervised learning techniques with independent component analysis (ICA) for advanced processing of biomedical signals such as resting-state fMRI and EEG. He has contributed to the development of the R package for Clusterwise ICA , aiming to enhance precision medicine through clustering of brain data patterns. Jeffrey also supports academic training as a Master Thesis Lab assistant and tutor for bachelor thesis projects in psychology. His work aligns with the Leiden University Institute for Statistical Science , emphasizing statistical innovation in psychological research.

Suzette Flantuaمشاهده پروفایل

پژوهشگر

• Global Change Ecology
• Macroecology
• Biogeography
• +۵ مورد دیگر

Suzette Flantua is a Researcher at the Department of Biological Sciences (BIO) , University of Bergen, Norway. She leads the PPF-Alpine project (2022-2026), funded by the Trond Mohn Foundation and the University of Bergen, integrating biology, geography, and climatology for mountain biodiversity conservation. Her research focuses on Global change ecology through macroecology, biogeography, and paleoecology Climate-biodiversity dynamics across past, present, and future time scales GIS and remote sensing applications in spatial analysis Historical environmental impacts on tropical mountain ecosystems Recent studies highlight 2025: Advancing paleoecological data standardization for global biomes 2024: Quantifying fire regime changes and bridging ecological disciplines through publishing guidelines 2023: Investigating diurnal temperature effects on plant elevation ranges and anthropogenic pollen indicators She contributes to Outreach via video communication about sustainability and has been featured in Science , Nature Geoscience , and J. Biogeography papers, with media coverage from Smithsonian Tropical Research Institute and Phys.org . Her work spans fieldwork in Andean expeditions, teaching university courses in GIS and global change, and organizing scientific events.

Kevin Heمشاهده پروفایل

دانشیار

• Survival Analysis
• Healthcare Provider Profiling
• Machine Learning
• +۷ مورد دیگر

Kevin He is an Associate Professor in the Department of Biostatistics at the University of Michigan School of Public Health. He serves as Associate Director of the Kidney Epidemiology and Cost Center (KECC) and leads statistical innovations in survival analysis, healthcare provider profiling, and data integration for biomedical applications. PhD in Biostatistics (University of Michigan, 2012) MS in Biostatistics (University of Michigan, 2008) BS in Statistics (Queen’s University, 2006) MS in Epidemiology (Queen’s University, 2004) BM in Clinical Medicine (Dalian Medical University, 2002) His research focuses on survival analysis for large-scale datasets, machine learning for healthcare provider profiling, and statistical genetics in organ transplantation and chronic disease. He develops data integration frameworks for polygenic risk scores and statistical optimization algorithms for time-varying effects in national registries. The 15 most recent articles highlight his work in survival modeling with time-varying coefficients, federated learning for privacy-preserving data integration, and genomic applications in inflammatory diseases. His methodological contributions span Kronecker product algorithms , proximal optimization , and penalized partial likelihood . He mentors a team including software developers and graduate researchers working on deep learning , frailty models , and distributed computing . His lab maintains the surtvep R package for scalable survival analysis.

Lana Garmireمشاهده پروفایل

دانشیار

• Single-cell sequencing
• Bioinformatics
• Translational bioinformatics
• +۵ مورد دیگر

Lana Garmire, PhD is an Associate Professor with tenure in both the Department of Computational Medicine and Bioinformatics and the Department of Biostatistics at the University of Michigan School of Public Health. She leads the Garmire Group in Translational and Clinical Informatics, a multidisciplinary team focused on advancing bioinformatics methodologies for clinical applications. Dr. Garmire has established herself as a nationally and internationally recognized expert in translational bioinformatics, with particular expertise in single-cell sequencing technologies and integrative omics analysis. Dr. Garmire received her MA in Statistics (2005) and PhD in Computational Biology (2007) from UC Berkeley, followed by postdoctoral training at UC-San Diego (2008-2011). She began her academic career at the University of Hawaii Cancer Center in 2012, where she rapidly achieved tenure and was promoted to Associate Professor in 2017. In 2018, she moved to the University of Michigan to expand her research into multi-modal approaches combining genomics, electronic medical records, and pathological imaging analysis. Her research focuses on single-cell and spatial transcriptomics , integrative analysis of EMR/imaging/omics/clinic data , translational bioinformatics of cancers , prognosis and diagnosis prediction , actionable computational models , drug repositioning/repurposing , and women's and neonatal health research . Dr. Garmire's work bridges computational approaches with clinical applications, particularly in cancer and pregnancy-related conditions. An analysis of her recent publications reveals a strong emphasis on deep learning applications in single-cell data analysis , with multiple papers on imputation methods, survival prediction models, and tools for clinical translation. Her research has evolved from foundational bioinformatics methods to increasingly clinically focused applications, particularly in women's health and cancer therapeutics. The trend shows growing integration of multiple data types (multi-omics) and development of user-friendly tools for broader scientific adoption. Dr. Garmire has received numerous prestigious honors including the US Presidential Early Career Scientist and Engineer (PECASE) award in 2019 , the highest honor for early-career scientists in the United States, and election as a fellow of the American Institute of Medical and Biological Engineering (AIMBE) in 2022 . Her group has consistently produced high-impact publications in top journals including Nature, Cell, Genome Biology, and Nature Communications. As a dedicated mentor, Dr. Garmire has trained over 90 researchers including Assistant Professors, MD fellows, postdocs, graduate students, and undergraduates from diverse academic backgrounds. She has successfully secured substantial funding through multiple concurrent NIH R01 grants from NICHD, NLM, and other institutes, as well as a recent R03 grant from the NIH Office of the Director on personalized cancer drug repurposing (July 2025). Her group currently operates a 10x Genomics Chromium system for single-cell RNA and DNA sequencing, supporting both internal research and external collaborations. The Garmire Group maintains an active research program with lab members engaging in diverse projects spanning computational methodology development, cancer research, women's health, and tool building. The group culture emphasizes inclusivity and diversity, with active participation in university-wide initiatives supporting women in STEM and underrepresented groups in science.

Erkan Oterkusمشاهده پروفایل

استاد

• Peridynamics
• Structural Health Monitoring
• inverse Finite Element Method (iFEM)
• +۳۶ مورد دیگر

Prof. Erkan Oterkus serves as Professor and Director of both the PeriDynamics Research Centre (PDRC) and Ocean Energy Research Unit (OERU) within the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde. Previously a researcher at NASA Langley Research Center, he holds a PhD from the University of Arizona and maintains active supervision of PhD students while leading internationally recognized research initiatives in computational mechanics. Academic Background PhD, University of Arizona (USA) Research Focus His pioneering work centers on peridynamics and inverse Finite Element Method (iFEM) for computational mechanics of materials and structures. Key research thrusts include multiscale modeling of stress corrosion cracking, underwater shock response of marine composites, failure analysis of electronic packages, ship collision/grounding dynamics, and real-time structural monitoring. His methodology integrates artificial intelligence, multi-physics analysis, and high-performance computing to solve extreme loading scenarios in marine, aerospace, and energy systems. Recent publications demonstrate strong trends in applying peridynamics to ice-structure interactions and corrosion damage monitoring, reflecting urgent industry needs for predictive structural integrity assessment. Honors & Recognition Outstanding Graduate Student in Aerospace Engineering (2010) Research Leadership Prof. Oterkus has secured 41 major projects totaling £12.7M in funding from entities including the European Union, U.S. Air Force Research Laboratory, DSTL, Samsung Electronics, Lloyd's Register, and ORE Catapult. His 264 research outputs include the seminal book on peridynamics and editorial leadership as Editor-in-Chief of Sustainable Marine Structures. He actively supervises 16 graduate students while directing two research centers that bridge academia-industry gaps in marine renewable energy and structural health monitoring systems. Research Infrastructure He leads the PeriDynamics Research Centre (PDRC) and Ocean Energy Research Unit (OERU), which operate advanced computational laboratories for multi-scale fracture simulation, structural health monitoring validation, and marine renewable energy device testing. These facilities support collaborative projects with Ferguson Marine, Babcock, and QinetiQ on pipe stress analysis and gas phase ventilation systems.

Ed Maurerمشاهده پروفایل

استاد

• Climate Change
• Water Resources
• Hydrology
• +۴ مورد دیگر

Ed Maurer is a Professor in the Civil, Environmental, and Sustainable Engineering Department at Santa Clara University's School of Engineering. He has been at Santa Clara University since 2003, advancing from Assistant Professor to Associate Professor and currently serving as a full Professor since 2015. His educational background includes: Ph.D. in Civil and Environmental Engineering from the University of Washington (2002) M.S. in Civil Engineering (Water Resources) from the University of California, Berkeley (1989) B.S. in Civil and Environmental Engineering from the University of Rhode Island (1985) Dr. Maurer is a registered Professional Civil Engineer in California (since 1991) with extensive research focused on Climate Change and its Impacts on Water in the Western U.S., Central and South America, as well as Downscaling techniques for estimating local climate impacts from global projections. His work bridges engineering fundamentals with climate science applications, particularly in water resources management under changing climate conditions. He has developed computational tools including the hydraulics R package and various climate data analysis tools that support both research and education. His recent publication record demonstrates a clear research trajectory focused on hydroclimatic changes in Central America, particularly examining drought patterns, smallholder agriculture impacts, and developing practical climate services for vulnerable communities. The publications show increasing emphasis on participatory approaches, community engagement, and translating climate science into actionable information for decision-makers. His scientific recognition includes: Santa Clara University Award for Sustained Excellence in Scholarship (2021) Santa Clara University Award for Recent Achievement in Scholarship (2013) Fulbright Visiting Scholar, Chile (2011) Google Science Communication Fellow (2011) Santa Clara University, School of Engineering Researcher of the Year (2009) Dr. Maurer teaches multiple courses in civil engineering including Statics, Groundwater Hydrology, Water Resources Engineering, Fluid Mechanics, and Sustainable Water Resources. His educational approach integrates computational methods, particularly using R programming, to solve engineering problems. He has developed extensive course resources including tutorials on using R for civil engineers and materials for hydraulic design.

• Criminal Law
• Italian Penal Code
• History of Criminal Law
• +۶ مورد دیگر

Paola Coco is an Associate Professor of Criminal Law (SSD IUS/17 GIUR-14/A) at the Faculty of Law, Sapienza University of Rome. She teaches Criminal Law II in the Master's Degree in Law (LMG-01) and Criminal Law in the Degree Course "Law and Public Administration" (L14). She is also a member of the Doctoral School Board in Public Law and teaches Criminal Law at the Specialization School for Legal Professions. Her academic career spans multiple institutions including temporary teaching positions at the University of Cassino and Southern Lazio and Unitelma-Sapienza Telematic University. Dr. Coco holds a PhD in Criminal Law and Procedure. Her research interests focus on Italian criminal law with particular emphasis on the Rocco Code, crimes against persons and property, gender-based violence (including femicide and stalking), legal positivism, and fascist criminal law. She has conducted extensive historical analysis of criminal law doctrines and their evolution throughout Italian legal history. Her recent scholarly output demonstrates consistent engagement with both contemporary criminal law issues and historical perspectives. The articles show particular attention to the Rocco Code's legacy, constitutional aspects of criminal law, and evolving interpretations of gender-based violence in legal frameworks. Her work frequently bridges historical analysis with current legal challenges, demonstrating how past legal frameworks continue to influence present-day jurisprudence. Dr. Coco has served as a member of selection committees, including for the University of Reggio Calabria in 2022, and has been responsible for research projects funded by Sapienza University, notably the 2018 project "For the ninetieth anniversary of the Rocco Code between past, present and future," published in 2023. Her scholarly contributions include numerous journal articles, monographs, and editorial work, reflecting her active role in advancing criminal law scholarship in Italy.

Nathalie Malbertمشاهده پروفایل

استاد

• Semiconductor Reliability
• Gallium Nitride Devices
• Microelectronics
• +۴ مورد دیگر

Nathalie Malbert is a Professor at the Institute of Microelectronics and Spectrométrie (IMS) within the University of Bordeaux, France. She leads research activities in the RELIABILITY research group, specifically within the RIAD and WBG teams. Her work focuses on semiconductor device reliability, particularly gallium nitride (GaN) high electron mobility transistors (HEMTs), electronic packaging, and failure analysis mechanisms. Her research interests span semiconductor reliability engineering, GaN device physics, failure mechanisms in electronic components, thermal management, and packaging technologies. Malbert's work addresses critical challenges in power electronics and RF applications, with particular emphasis on AlN/GaN heterostructures, device characterization under stress conditions, and reliability assessment methodologies for next-generation semiconductor technologies. Analysis of Malbert's publication record reveals a strong focus on GaN HEMT reliability across multiple dimensions - electrical, thermal, and mechanical. Her recent work shows increasing attention to mmWave applications, normally-off device technologies, and advanced characterization techniques for failure analysis. She frequently collaborates with industrial partners including STMicroelectronics, Thales, and STellantis. Professor Malbert actively supervises research projects and collaborates with numerous PhD students and postdoctoral researchers, though specific names aren't detailed in the provided materials. Her work has been supported by collaborations with major industrial players in the semiconductor and electronics sectors. She maintains strong connections with the RIAD and WBG research teams at IMS Bordeaux, focusing on reliability assessment methodologies, failure physics, and advanced characterization techniques for semiconductor devices. Her laboratory work integrates both experimental and modeling approaches to address complex reliability challenges in modern electronic systems.

Stefan Van Aelstمشاهده پروفایل

استاد

• Robust statistics
• Analysis of complex data
• Functional data analysis
• +۵ مورد دیگر

Stefan Van Aelst is a Professor at the Department of Mathematics, KU Leuven, and heads the Statistics and Data Science unit. He is actively involved in research on robust statistical methods for complex and high-dimensional data. Affiliation: Faculty of Science, KU Leuven Research: Robust statistics, functional data, fuzzy data, and applications in chemometrics and bioinformatics Teaching: Advanced Statistical Methods, Robust Statistics, Statistical Data Analysis His recent publications focus on robust dispersion estimation, sparse logistic regression, functional data analysis, and multilinear PCA. Collaborations include researchers like Rousseeuw, Zamar, and Verdonck. He contributes to software development, including the MATLAB library LIBRA and R packages like robustbase and cellWise , and participates in organizing seminars and conferences.