Prof. Ofer Shayevitz is a faculty member at the School of Electrical Engineering , Tel Aviv University , holding the academic rank of Professor . He is affiliated with the Department of Systems and leads interdisciplinary research at the intersection of information theory , statistical inference , and data science . His research explores theoretical challenges in interactive communication , machine learning , and quantum information , with applications to communication complexity , graph analysis , and non-stationary environments . Notable work includes advances in high-dimensional regression , entropy estimation , and memory-constrained algorithms . The trends in his recent publications highlight information-theoretic bounds , statistical inference under constraints , and interactive protocols . His group has made significant contributions to quantum key distribution , planted graph detection , and guesswork analysis . Scientific awards include the Best Student Paper Award at ISIT 2020 . His research is supported by major grants from the Israel Science Foundation (ISF) , ERC Starting Grant , and Israel Innovation Authority . Prof. Shayevitz advises current PhD students Assaf Ben-Yishai , Uri Hadar , and Shahar Stein Ioushua , as well as M.Sc. students Inbar Pinsly and Oz Ben Hamo . Former advisees include faculty members at institutions like Kyushu University and University of British Columbia .
Dr. Felix Schmidt is a Researcher leading his own Arbeitsgruppe within Prof. Artur Widera's team in the Department of Physics at RPTU Kaiserslautern-Landau. His work focuses on experimental quantum physics with single atoms in ultracold quantum environments, contributing significantly to quantum sensing and non-equilibrium dynamics research. Dr. Schmidt's research centers on quantum physics with emphasis on single-atom manipulation in ultracold gases, quantum sensing using individual neutral atoms as probes, and non-equilibrium thermodynamics of dilute atomic systems. His experimental work explores spin dynamics in Bose-Einstein condensates, precision measurement techniques, and quantum simulation of complex phenomena like the Fröhlich polaron. This research bridges atomic physics, quantum information science, and condensed matter physics through innovative single-atom control methodologies. Analysis of his 14 publications from 2015-2020 reveals consistent contributions to high-impact journals including Physical Review Letters , Nature Physics , and Physical Review X . His work shows increasing focus on quantum sensing applications, with several papers featured in Physics viewpoint stories and covered by science media outlets like phys.org and Science Daily . Key trends include the development of single-atom thermometers, quantum probes for ultracold gases, and optimization of quantum gas production through evolutionary algorithms. Dr. Schmidt's research group operates within RPTU's Department of Physics, which recently secured significant funding (nearly 900,000 euros from Carl-Zeiss-Stiftung) for quantum sensor development targeting neurological disease research. The department maintains international collaborations, including a recent partnership with Politehnica University of Bucharest focused on experimental physics excellence. His work contributes to RPTU's growing reputation in quantum technologies and precision measurement.
Dr. Julia Moeller is a Junior Professor of Educational Psychology with a focus on Development under Risk Conditions at the University of Leipzig, while also covering the Professorship for Educational-Psychological Diagnostics and Differential Psychology at the Faculty of Educational Sciences, University of Erfurt. Her work bridges educational psychology, developmental science, and methodological innovation in studying moment-to-moment processes in learning and development. Dr. Moeller's research focuses on educational psychology and developmental processes with particular emphasis on how students experience motivation and emotions in learning situations. Her work employs innovative methodologies including the Experience Sampling Method (ESM) to capture in-the-moment dynamics of achievement motivation. She has developed the DYNAMICS Framework for studying moment-to-moment development in achievement motivation, which represents a significant contribution to person-oriented research in educational contexts. Analysis of Dr. Moeller's recent publications reveals a strong focus on understanding the complex interplay between motivation, emotions, and learning outcomes in educational settings. Her work increasingly incorporates advanced statistical approaches including network analysis and causal inference methods to examine momentary processes. She has made substantial contributions to understanding student emotions during the COVID-19 pandemic and how boredom relates to creativity in educational contexts. Her research consistently emphasizes the importance of studying psychological processes as they unfold in real-time rather than relying solely on retrospective assessments. Dr. Moeller has been actively involved in methodological advancements in psychological science, particularly advocating for within-person approaches that can capture individualized patterns of motivation and emotion. Her work on the DYNAMICS Framework represents an important step toward more nuanced understanding of how students' motivational experiences vary across different learning situations. She has contributed to practical guidance for implementing the Experience Sampling Method through her accepted paper 'So you want to do ESM? Ten Essential Topics for Implementing the Experience Sampling Method.'
Tal Orenshtein is a tenure-track Assistant Professor at the Department of Mathematics and Applications, University of Milano-Bicocca. Their research focuses on stochastic processes, probability theory, and mathematical models in statistical mechanics, including rough paths in random media, interface dynamics in 1+1 dimensions, and self-interacting random walks. They actively participate in international conferences and seminars such as the 4th Italian Meeting on Probability & Mathematical Statistics and the CIME Summer School. Education: Master's thesis under Boaz Tsaban (Adv. Math., 2013) addressing a variation of the Gerlits-Nagy open problem in topology. Key research themes include: Wetting dynamics and space-time correlations in KPZ/EW universality classes. Random walks in static/dynamic environments and their interactions with probabilistic models. Collaborations include prominent researchers like Peter K. Friz, Gady Kozma, and Boaz Tsaban. Contact: Office 3044, U5 building, Via R. Cozzi 55, 20125 Milan, Italy | Phone: +39 02 6448 5714
Clélia de Mulatier is an Assistant Professor at the University of Amsterdam , affiliated with both the Institute for Theoretical Physics and the Informatics Institute . She leads research at the intersection of statistical physics, information theory, and computer science , focusing on theoretical and numerical methods for complex systems . Her work spans collaborations with experimentalists in neuroscience and biology , and she actively participates in educational programs across multiple Dutch universities. Research Labs : Computational Soft Matter Lab, Computational Science Lab Affiliations : Dutch Institute for Emergent Phenomena (DIEP), Netherlands Platform Complex Systems (NPCS) Her research develops minimally complex spin models for high-order data analysis , applying exact Bayesian model selection to uncover hidden variable communities in binary datasets. This work has produced open-source tools like MinCompSpin and MinCompSpin_Greedy for different system sizes. Publications demonstrate expertise in tensor networks for dimensional reduction , epidemic modeling , and branching random walks in confined environments . Teaching includes Python programming , complex systems theory , and statistical inference for physics students across multiple institutions. She serves as program committee member for International Conference on Computational Science and organizes academic discussions through initiatives like Behind the CV: story from a Physicist .
Stefan Wirtensohn is a Researcher at the Institute of System Dynamics, Konstanz University of Applied Sciences, where he has served as a research associate since 2012. His work bridges theoretical control engineering with practical marine robotics applications, focusing on autonomous surface vehicle development and advanced control systems. His academic credentials include: Bachelor of Engineering in Mechanical Engineering, HTWG Konstanz (2010) Master of Engineering in Mechatronics, HTWG Konstanz (2012) Wirtensohn's research centers on Control Engineering, Mechatronic Modeling, and Nonlinear Control systems for marine environments. He specializes in parameter identification, motion estimation, and trajectory optimization for autonomous vessels, with significant contributions to docking control, wave filtering, and extended object tracking. His methodology integrates unscented Kalman filters, model predictive control, and sensor fusion techniques to address real-world navigation challenges. Analysis of his 15 most recent publications (2013-2022) reveals consistent focus on marine robotics control systems. Key trends include the application of random matrices for lidar-based target tracking, model predictive path integral control for vessel stabilization, and advanced disturbance estimation techniques. His work demonstrates strong emphasis on experimental validation using autonomous surface vehicles across diverse maritime scenarios. He actively contributes to teaching through Control Engineering 1 exercises and laboratory supervision, emphasizing hands-on implementation of control algorithms. Current projects under his involvement include: Integrated autonomous measuring system for maritime surveying tasks Automated parking systems for truck trailers Collision prevention procedures for inland waterway vessels Wirtensohn operates within the Institute of System Dynamics research team specializing in signal processing, control engineering, and robotics, maintaining close collaboration with Johannes Reuter and other institute members on marine automation challenges.
Professor Angelika Rohde is a faculty member at the University of Freiburg, holding a professorship in the Department of Mathematical Stochastics within the Mathematical Institute. She actively leads multiple German Research Foundation (DFG) projects including Research Group FOR 5381 and Collaborative Research Center sub-projects. Her research specializes in mathematical statistics for high-dimensional data environments, with core expertise in: Computationally feasible bootstrap methodologies Structural inference for covariance matrices under sparsity Discriminant analysis and classification frameworks Statistical inference under randomization constraints Clinical predictive modeling applications Forensic genetics classification systems Current DFG funding supports her leadership in: FOR 5381: Mathematical Statistics in the Information Age (as spokesperson) Integration of multi-site data for clinical predictive models (sub-project manager) Uncertainty quantification in forensic classification (sub-project manager) Prior projects include high-dimensional stochastic differential equations (Priority Program), covariance matrix inference (Research Group), and Graduate School GRK 2131 on high-dimensional stochastics phenomena. She directs the "Mathematical Statistics in the Information Age" research group, fostering interdisciplinary methodological development for modern statistical challenges.
Prof. Dr. Gertraud Stadler serves as Professor for Gender-Sensitive Prevention Research and Director of the Institute of Gender in Medicine (GiM) at Charité - Universitätsmedizin Berlin. She also holds an Honorary Senior Lecturer position in Health Psychology at the University of Aberdeen's School of Medicine. Her academic journey includes significant roles at Columbia University, where she served as Postdoctoral Research Fellow and Managing Director of the Columbia Couples Lab, and later as Associate Research Scientist at the Mailman School of Public Health. Dr. Stadler's educational background includes a Diploma in Psychology from the University of Eichstätt-Ingolstadt (2000) and a Doctorate Summa Cum Laude from the University of Hamburg (2006), where she researched self-regulation of health behavior in collaboration with a major health insurance company. Her early career included research positions at the Max Planck Institute for Human Development in Berlin. Her research focuses on personalized prevention interventions and how individuals and couples can modify daily behaviors to maintain lifelong health and better manage illness. Three core research questions drive her work: strategies for sustainable health behavior change among women, men, and couples; the influence of social networks on health and well-being; and methods for valid and reliable reporting of behavior changes. Her work is characterized by interdisciplinary collaboration spanning medicine, nutritional sciences, nursing sciences, sports sciences, statistics, and technology. Analysis of her 15 most recent publications reveals a strong emphasis on couples-based health interventions, mobile health technologies, and longitudinal assessment methods. Her research consistently applies intensive longitudinal methodologies to understand health behavior change in real-world contexts, with particular attention to gender differences and dyadic processes. Key thematic areas include smoking cessation, physical activity promotion, medication adherence, and coping with chronic conditions. 2014 Early Career Award, Department of Health Psychology, International Association for Applied Psychology 2003-2004 Scholarship Abroad, German Academic Exchange Service (DAAD) 2002-2005 Scholarship for Graduate Studies, German Research Foundation (DFG) Dr. Stadler has secured significant research funding including a National Institute on Alcohol Abuse and Alcoholism grant (2017-2022) for 'Tailored Adaptive Mobile Messaging to Reduce Problem Drinking,' an NIHR Public Health Research Programme grant (2018-2020) for alcohol intervention in prison settings, and a Columbia University pilot grant (2014-2015) for medication adherence research in epilepsy patients. Her collaborative approach spans multiple institutions and disciplines, reflecting her commitment to translational research that bridges theory and practice. As Director of the Institute of Gender in Medicine at Charité, Dr. Stadler leads a research environment focused on understanding gender differences in health and disease. Her work with the Columbia Couples Lab established foundational methodologies for studying dyadic health processes, and she continues to advance these approaches through interdisciplinary collaborations across Europe and North America.
