Sequential Memory Professors and Supervisors

Brice Maxime Hugues Ozenneمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Brice Maxime Hugues Ozenne is an Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. He holds a shared position between the Section of Biostatistics at the University of Copenhagen and the Neurobiology Research Unit at Rigshospitalet. His work spans methodological research, software development for R, statistical consultations, and teaching. Dr. Ozenne's educational background includes: Ph.D. in Biostatistics from University Lyon 1, Lyon, France (2012-2015) with thesis on "Statistical modelling for the prognosis of stroke patients" Master's Degree in Biostatistics from University Lyon (2011-2012), completed as a double degree with École Centrale de Lyon Engineering Diploma from École Centrale de Lyon (2009-2012) Course in teaching and learning in higher education from UNIVERSITETPÆDAGOGIKUM (2022-2023) His primary research interests focus on statistical models for handling repeated measurements that arise in medical images, psychological questionnaires, and longitudinal studies. He specializes in developing Latent Variable Models and mixed models for neuro-imaging data, with particular attention to small sample size issues and multiple testing corrections. Additionally, he develops methods for assessing treatment effects in registry data, accounting for confounding, right-censoring, competing risks, and time-varying effects. His side projects include benefit-risk assessment using Generalized Pairwise Comparisons and planning/analyzing sequential trials with pipeline data. Dr. Ozenne's research output demonstrates strong interdisciplinary collaboration, particularly in neuroscience, psychiatry, and clinical research. His work frequently addresses methodological challenges in neuroimaging studies, antidepressant treatment evaluation, and registry-based epidemiological research. Recent publications show a consistent focus on serotonin receptor binding, treatment effects in depression, and advanced statistical methodologies for complex data structures. His scientific contributions have garnered significant attention, with publications picked up by 55 news outlets, blogged by 3 sources, reddited by 1 user, and referenced across various social media platforms including X (Twitter) and Bluesky. As an educator, Dr. Ozenne teaches: Ph.D. courses: Statistical analysis of repeated measurements and clustered data; Epidemiological methods in medical research (as course leader); Basic statistics MSc courses: Survival analysis for students in Statistics and Mathematics-Economics He previously served as a Post-Doc in biostatistics (2015-2020) with a shared position between the University of Copenhagen (researcher and teacher at the Graduate School of Health and Medical Sciences) and Copenhagen University Hospital (consultant and leader of the data analysis workpackage of the Neuropharm project). Dr. Ozenne's work is supported in part by a grant from Novo Nordisk A/S, which covers part of his salary during July 2025 - December 2026.

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Naoki Hirataniمشاهده پروفایل

استادیار

Washington University in St. LouisUnited States

Naoki Hiratani serves as Assistant Professor of Neuroscience in the Department of Neuroscience at Washington University in St. Louis School of Medicine. His research bridges theoretical neuroscience and artificial intelligence to decipher the brain's efficiency in learning and computation. Education PhD, The University of Tokyo (2011-2016) BS, The University of Tokyo (2007-2011) Research Focus : Dr. Hiratani pioneers Neuro-AI investigations into how micro/macro connectivity patterns and complex learning mechanisms enable the brain's superior energy efficiency and data-efficient learning compared to modern AI. His work employs advanced machine learning algorithms for neural data analysis, targeting brain-inspired AI development through theoretical modeling of sensory processing, olfactory systems, and neural circuit dynamics. Publication Trends : His 2015-2023 publications reveal consistent focus on biologically plausible learning (node perturbation, STDP), neural circuit modeling (olfaction, reservoir computing), and Bayesian neural computation . Recent work emphasizes individual variability analysis and task-order optimization for continual learning. Awards Swartz Foundation Postdoctoral Fellowship (2020-2023) Japan Science Promotion Society Doctoral Fellowship (2014-2016) Top Reviewer, ICML 2025 Mentorship & Lab : Leading the Hiratani Laboratory (Neuro-AI Research Lab), he actively recruits graduate students and postdocs. Current rotation students Jeeyoung and Liangyu contribute to projects including zebrafish brain development (with Goodhill Lab) and International Brain Laboratory data analysis. The lab recently accepted work on task-order optimization for ICML 2025.

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Zbyszko Królikowskiمشاهده پروفایل

استاد

Poznan University of TechnologyPoland

Professor Zbyszko Królikowski is a faculty member at Poznań University of Technology, where he works in the Faculty of Computer Science and Telecommunications, specifically in the Institute of Computer Science. He holds the academic title of Professor (indicated by "prof. dr hab. inż.") and has been actively contributing to the field of computer science, particularly in database systems and data warehousing. His scientific work spans multiple disciplines, with 75% focus on Computer and Information Sciences and 25% on Information and Communication Technology. Professor Królikowski has established himself as an expert in data warehousing, having authored a comprehensive monograph titled "Data warehouses: logical and physical data structures" published in 2007. His research interests primarily revolve around database systems, with specific focus on: Data warehousing and OLAP analysis Logical and physical data structures for databases Sequential data analysis Materialized views and query optimization Database performance evaluation Evolution of data warehouse systems Professor Królikowski has maintained an active research profile with publications spanning nearly two decades, from the early 2000s to 2021. His work shows a consistent focus on database technologies, evolving from traditional relational database systems to more contemporary approaches including in-memory architectures and graph databases. Analysis of his publication trends reveals a progression from theoretical database modeling to practical applications in production planning and modern database technologies. He has contributed to the academic community not only through his publications but also by supervising doctoral research. Notably, he supervised Mikołaj Morzy's dissertation on "Advanced database structures supporting effective association discovery" in 2004 and has served as a reviewer for numerous other doctoral dissertations in related fields. Professor Królikowski has collaborated extensively with other researchers in the database community, particularly with scholars from Poznań University of Technology including Tadeusz Morzy, Bartosz Bębel, and Robert Wrembel. These collaborations have resulted in numerous joint publications that have contributed significantly to the field of data warehousing and database systems.

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Steven Blurtonمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Steven Blurton is an Associate Professor in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences, specializing in cognitive psychology with a focus on mathematical modeling of perceptual and decision processes. His research integrates computational approaches with experimental paradigms to investigate fundamental cognitive mechanisms. Research Interests: Visual perception and attention dynamics Multisensory integration across auditory and visual domains Mathematical modeling of response times and decision-making Theory of Visual Attention (TVA) frameworks Sequential sampling models for cognitive processes His recent publications demonstrate an evolving trajectory from foundational work on Wiener diffusion models (2012) toward increasingly sophisticated integrations of response time modeling with multisensory processing and executive function interventions, with significant contributions appearing in Psychological Review , Journal of Mathematical Psychology , and Vision Research . Current research within the KU 2016 "Dynamical Systems" program focuses on unifying accuracy and response time predictions through sequential sampling models. Key Activities: Principal Investigator in the DFF 8018-00014B project "Foundations of Response Time Measurement" (2019-2020) Active member of the Center for Visual Cognition research group His methodological expertise spans computational modeling, experimental design for perceptual tasks, and advanced statistical analysis of cognitive data, with applications spanning basic research and educational interventions.

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Allegra Indraccoloمشاهده پروفایل

پژوهشگر

European University of RomeItaly

Allegra Indraccolo is a Researcher in General Psychology at the European University of Rome within the School of Psychology. She is a core member of the Clinical and Cognitive Psychology Laboratory (CCPL), conducting experimental research on cross-modal correspondences, working memory, attention (including eStroop paradigms), decision making, and moral judgment. Dr. Indraccolo holds a Ph.D. in Cognitive Psychology. Her research spans cognitive and experimental psychology with primary focus areas including cross-modal perception, moral psychology, visuo-spatial working memory, creativity, embodied cognition, and attentional biases. She investigates how perceptual information influences cognitive processes and behavioral responses through rigorous experimental designs. Analysis of her publications (2013-2019) reveals consistent interdisciplinary work bridging cognitive psychology and neuroscience. Key trends include examining cross-modal correspondences in working memory performance, neural correlates of autism spectrum traits via EEG, temporal reproduction mechanisms, and attentional biases in food perception. Her methodology frequently combines behavioral experiments with neuroimaging techniques like eLORETA/sLORETA. She actively contributes to the Clinical and Cognitive Psychology Laboratory (CCPL), which develops digital psychological tools including the eStroop implementation, and supports experimental research in clinical and cognitive domains through advanced technical infrastructure.

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Alice Andreea Iliescuمشاهده پروفایل

دانشیار

University of Art and Design in Cluj-NapocaRomania

Alice Andreea Iliescu serves as Associate Professor and Vice-Dean of the Faculty of Arts and Design at the University of Art and Design of Cluj-Napoca, where she leads the Master's program in Comics and Animation. Her academic journey includes a PhD in Visual Arts from UAD Cluj-Napoca (2013), Master's degrees in Comics from École européenne supérieure de l'image in France (2012-2013), and Curatorial Studies from École du Louvre (2011). Her research focuses on comics as a research methodology and tool for social innovation, with particular emphasis on urban comics, sequential art, and visual storytelling. She founded the ArtiViStory Collective to develop visual documentation methods for civic innovation projects, notably through the (in)Visible project funded by Botnar Foundation. Her work bridges artistic practice with community engagement, creating frameworks where comics serve as both research instruments and social activation tools. Her recent publications analyze urban comics as research methodology, visual documentation of social innovation, and comics-based future scenario building, reflecting her dual expertise in artistic practice and social research. She has coordinated numerous international projects including SPIRE (Smart Post-Industrial Regenerative Ecosystem), which won the 2023 World Smart City Awards, and Romania Remarcabila, a PNRR-funded artistic research project exploring cultural heritage. Mongol Prize for Sculpture (UAP Cluj-Napoca, 2022) 1st Place Innovation Category at 2023 World Smart City Awards for SPIRE Project As an educator, she has supervised numerous student projects through Expo Maraton competitions and developed innovative workshops combining comics with urban planning, cultural heritage, and social innovation. She coordinates the Urban Comics research stream within UAD's Creative Labs infrastructure and serves on the university's Ethics Committee. Her international collaborations span institutions in Poland, Italy, France, and Romania, with frequent Erasmus+ teaching mobility and joint research initiatives.

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Amelia-Elena Bocirneaمشاهده پروفایل

پژوهشگر

National Institute of Materials PhysicsRomania

Dr. Amelia-Elena Bocirnea is a Scientific Researcher at the Laboratory of Surface and Interface Science within the National Institute of Materials Physics. She has been working at this institute since September 2013, initially in what was previously named the 'Nanoscale Condensed Matter laboratory.' Her research focuses on advanced materials science with particular expertise in Van der Waals materials , metallic oxides , atomically clean surfaces prepared in ultrahigh vacuum (UHV) conditions , and the analysis of ultrathin films, films and powders . She employs sophisticated experimental techniques including X-ray photoemission spectroscopy (XPS), molecular beam epitaxy (MBE), e-beam deposition, low energy electron diffraction (LEED), room temperature scanning electron microscopy (RT-STM), and photoemission electron microscopy (PEEM). Dr. Bocirnea's recent publications (2023-2025) demonstrate her expertise across multiple cutting-edge research areas including 2D materials synthesis, energy storage applications, photocatalysis, and semiconductor physics. Her work shows strong interdisciplinary connections between materials science, nanotechnology, and electronic applications, with particular emphasis on developing novel synthesis methods that avoid toxic gases and are compatible with industrial manufacturing processes. She has established herself as a significant contributor to her field with 11 ISI papers, 20 citations (excluding self-citations), and an Hirsch index of 4 according to Web of Science, along with 2 national patents.

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