Saharon Rosset is a Professor and Chair in Modern Statistics and Data Science at the Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, since 2007. His expertise spans statistical learning theory, machine learning, and computational biology, with a focus on integrating statistical methods into biological and data science applications. Research Interests: Statistical Learning, Computational Biology, Genomics, Data Science Teaching: Statistics of Big Data, Statistical Genetics, Bootstrap Methods, Data Science His recent publications explore diverse applications including ATP production mechanisms, SARS-CoV-2 evolution, gene-environment interactions, and music structure analysis. He employs methodologies from high-dimensional statistics, random effects modeling, and multiple hypothesis testing. Scientific Awards : Best paper award at KDD-2011 KDD Cup 2007 Winner Best application paper award at KDD-02 He has mentored numerous PhD and MSc students, including Oren Yuval, Giora Simchoni, and Rajesh Karmakar. His collaborative work appears in journals like PNAS , Biometrics , and Journal of Machine Learning Research .
Professor Yaron Ostrover is a faculty member in the Department of Theoretical Mathematics at the School of Mathematical Sciences, Tel Aviv University. His academic journey includes being a von Neumann fellow at the Institute for Advanced Study during the 2018-2020 academic years and previously serving as a C.L.E Moore instructor in the Department of Mathematics at MIT. He received his Ph.D. from Tel Aviv University under the supervision of Leonid Polterovich. His educational background includes: Ph.D. in Mathematics from Tel Aviv University (supervised by Leonid Polterovich) Previous postdoctoral positions including C.L.E Moore instructor at MIT Von Neumann fellow at the Institute for Advanced Study (2018-2020) Professor Ostrover's research focuses on the intersection of geometry, dynamics, and mathematical physics. His primary areas of interest are symplectic geometry and Hamiltonian dynamics, with specific emphasis on the geometry of the group of Hamiltonian diffeomorphisms, Floer and quantum homology, symplectic embeddings, billiards dynamics, interaction between symplectic and convex geometry, asymptotic geometric analysis, and the theory of symplectic measurements. His work bridges abstract mathematical concepts with applications in mathematical physics, creating innovative approaches to understanding geometric structures and dynamical systems. An analysis of his recent publications reveals a consistent focus on symplectic geometry and its connections to other mathematical domains. His research demonstrates a progression from foundational work in symplectic capacities and embeddings to more specialized investigations of billiards dynamics, Lagrangian products, and connections to integrable systems like the Toda lattice. A notable trend is the increasing interdisciplinary nature of his work, connecting symplectic geometry with convex geometry, asymptotic analysis, and mathematical physics. Professor Ostrover has received recognition through prestigious positions including: von Neumann Fellow at the Institute for Advanced Study (2018-2020) C.L.E Moore Instructor position at MIT As a principal investigator, he has led significant research projects including "Symplectic Measurements and Hamiltonian Dynamics" (SYMPLECTIC), an ERC Starting Grant from 2015-2020, and serves as a local coordinator for the "Topology in Dynamics and Physics" (TIDY) program. He has co-organized numerous international conferences including LP-60: Geometry and Dynamics (2023, ETH Zürich), Finite Dimensional Integrable Systems in Geometry & Mathematical Physics (2022, Tel Aviv University), and Topological Data Analysis meets Symplectic Topology (2018, Tel Aviv University). Professor Ostrover is actively involved in teaching at Tel Aviv University, offering courses such as Calculus 1A-3, Analysis on Manifolds, Topics in Geometry Mechanics and Dynamics, Introduction to Dynamical Systems, Introduction to Symplectic Geometry, and Non-Euclidean Geometry. He previously taught Measure and Integration and Calculus at MIT.
Prof. Dr. Franziska Völckner is a Professor of Marketing at the Department of Marketing and Brand Management, WiSo Faculty (School of Business, Economics and Social Sciences) of the University of Cologne since 2007. Her research focuses on Brand Management, Marketing in Digital Environments, Customer Experience Management, and Market Research, with a particular emphasis on brand image analysis and digital marketing trends. Habilitation in Business Administration, University of Hamburg (2006) Doctoral degree, University of Hamburg (2003) Her work explores the intersection of marketing theory and practice, including gamification effects, brand positioning strategies, celebrity marketing, and pricing psychology. She contributes to the Key Research Initiative: Analytics and Transformation and is affiliated with the ECONtribute: Markets & Public Policy Cluster of Excellence. Scientific awards include: 2017 Editors’ Citation Award (Journal of Interactive Marketing) 2013 Best Overall Conference Paper Award (Australian & New Zealand Marketing Academy) 2011 VHB Best Paper Award 2008 VHB Young Academics Best Paper Award She serves on the University Council of the University of Cologne (since 2016) and contributes to interdisciplinary research projects under the Social and Economic Behavior Key Profile Area. Her publications span marketing strategy, brand extension dynamics, and digital consumer behavior.
Rana X. Adhikari is a Professor of Physics at the California Institute of Technology (Caltech) in the Division of Physics, Mathematics and Astronomy, and an Associate Faculty member at the International Centre for Theoretical Sciences of the Tata Institute of Fundamental Research (ICTS-TIFR) in Bengaluru, India. His career spans over two decades in experimental physics, with significant contributions to gravitational wave detection and quantum metrology. Professor of Physics at Caltech since 2012 (tenured) Assistant Professor at Caltech (2006-2012) Adjunct Professor at ICTS-TIFR since 2012 Postdoctoral Researcher at Caltech LIGO project (2004-2006) Adhikari's research focuses on experimental physics of gravitational wave detection, quantum metrology, precision measurement, and intelligent control systems. His work aims to surpass fundamental physical limits to discover new phenomena related to gravity, quantum mechanics, and the nature of space and time. He has pioneered noise reduction techniques in laser interferometers, which were critical for LIGO's successful detection of gravitational waves in 2015. His research group at Caltech develops new detector technologies for fundamental physics experiments including gravitational waves, dark matter, and near-field gravity. He also collaborates extensively with the international gravitational-wave community including OzGrav, KAGRA, and GEO600. Analysis of his recent publications shows consistent focus on advancing gravitational wave detection capabilities across multiple fronts - from improving ground-based detectors like KAGRA to developing concepts for space-based systems like TianGO. His work bridges theoretical concepts with practical experimental implementations, particularly in quantum measurement techniques applied to gravitational physics. New Horizons in Physics Prize (2019) Albert Einstein Medal (2017) Princess of Asturias Award (2017) Bruno Rossi Prize (2017) Royal Astronomical Society Group Achievement Award (2017) Gruber Cosmology Prize (2016) Breakthrough Prize in Fundamental Physics (2016) Adhikari actively mentors students through the International LIGO SURF program, which hosts talented undergraduate students from Indian institutions. He has secured significant funding for the LIGO-India project, which aims to build a gravitational-wave observatory in India. His laboratory at Caltech collaborates with the Materials Science Department to advance mechanical oscillators, nonlinear optics, acoustic metamaterials, and high-efficiency photodetection for quantum measurements. He is also involved in interdisciplinary projects combining science and art, including scientific installations and collaborations with artists exploring gravitational wave concepts.
Dr. Pranav Minasandra is a postdoctoral researcher at the Max Planck Institute of Animal Behavior (Konstanz, Germany), affiliated with the Department of Collective Behavior . His work combines quantitative ecology , animal movement modeling , and machine learning to uncover universal patterns in behavioral sequences across species. PhD in Animal Behavior from Max Planck Institute MSc and BS from Indian Institute of Science (Bangalore) Research Focus: Analyzes behavioral predictivity decay and statistical similarities in animal sequences using accelerometry and theoretical frameworks. Recent work explores interspecies infant abduction and social coordination in meerkats/hyenas . Publications span PNAS , Proceedings B , and Current Biology , with 2025 papers revealing truncated power-law patterns in behavior and collective movement dynamics . His Best Paper Award (University of Konstanz) highlights groundbreaking contributions to behavioral sequence analysis. Collaborates with networks including Meg Crofoot , Ari Strandburg-Peshkin , and Vlad Demartsev . Tools developed include VocalPy integrations and predictivity decay metrics for behavioral forecasting.
Dr. Julian Fäth is a Research Fellow at the Chair of Remote Sensing within the Institute of Geography and Geology at the University of Würzburg. Since May 2024, he has been leading the main working package "Forestry" in the EO4CAM project. His academic career spans forest science, remote sensing, and environmental geophysics with a focus on forest hydrology and soil moisture dynamics across temperate forest ecosystems in Germany. His educational background includes: PhD in Forest Nutrition and Water Balance from the Technical University of Munich (2017-2021) Studies in Forestry Science at the Technical University of Munich (2011-2017) Dr. Fäth's research focuses on applying geophysical methods, particularly electrical resistivity tomography (ERT), to monitor soil moisture fluctuations in forest ecosystems. His work bridges remote sensing technologies with traditional forestry practices to understand how forests respond to climate change, particularly drought stress. He investigates the complex interactions between soil properties, water availability, and tree health in temperate forests across Germany, with particular attention to beech decline under recurrent drought conditions. His publication record shows a strong trend toward integrating multiple monitoring approaches for soil moisture and forest hydrology. Recent work emphasizes 2D and 3D ERT techniques combined with traditional hydrological measurements to create comprehensive understanding of water dynamics in forest soils. His research increasingly addresses climate change impacts on forest ecosystems, particularly beech decline under recurrent drought stress, examining how individual neighborhood structure and soil properties influence tree survival. Dr. Fäth has been involved in several significant research projects including the EO4CAM project where he leads the forestry component. His collaborative work spans multiple institutions including the University of Würzburg and the Technical University of Munich. His research has practical applications for sustainable forest management under changing climatic conditions, providing critical insights for forest managers facing increasing drought frequency and intensity.
Katrin Dennerlein is a Senior Lecturer at the Chair of Computational Philology and Modern German Literary History, Faculty of Philosophy, University of Würzburg. She specializes in digital humanities, computational philology, and emotion analysis in German literary drama. Her work bridges historical text digitization with modern algorithmic analysis, particularly through projects like Drama Corpora and Emotions in Drama. Projects: Leads the Drama Corpora initiative for digitizing cultural heritage, focusing on Hamburg Gänsemarktoper libretti (1678–1730) using OCR4all. Research Focus: Emotion analysis in German drama (1650–1815), sentiment classification with transformer models, and narratology in the context of spatial turn. Collaborations: Works with Dr. Christian Reul and the Center for Philology and Digitality, supported by DFG funding. Her recent publications emphasize emotion dynamics in historical plays, leveraging machine learning to analyze genre-specific patterns. She also contributes to methodological advancements in sentiment annotation and digital preservation of cultural memory through dramatic texts.
Prof. Korbinian Schneeberger is a full Professor of Computational Genetics and Genome Plasticity at the Ludwig Maximilian University of Munich , embedded within the Graduate School of Life Science Munich (LSM) . He leads a multidisciplinary team of bioinformaticians, biologists, and biotechnologists, all driven by a shared curiosity in genomic technologies and plant genome evolution. Contact: k.schneeberger@lmu.de . Research Focus: Genome plasticity and mutational dynamics across plant species Development and refinement of next-generation sequencing and assembly pipelines Comparative genomics, pan-genome construction, and structural variation Epigenetic regulation and transposon biology in plant genomes Meiotic recombination and crossover patterning in holocentric plants Application of single-cell and single-nucleus technologies to dissect gamete-level variation His laboratory develops widely-used bioinformatics tools—including SHOREmap , findGSE , SyRI , and plotsr —that enable the community to assemble, compare, and interpret plant genomes at unprecedented resolution. Recent work advances understanding of centromere evolution, adaptation to extreme soils, layer-specific somatic mutation patterns in fruit trees, and large-scale Arabidopsis population genomics. Scientific Output & Impact: Since 2015, Prof. Schneeberger has published more than 60 peer-reviewed articles, many appearing in top-tier journals such as Nature Genetics , Nature Plants , and Genome Biology . His 2025 studies already tackle the mutational landscape of Arabidopsis centromeres, scalable eQTL mapping in gametes, and the phased pan-genome of tetraploid potato, underscoring a trajectory at the forefront of plant genomic science. Funding & Collaborations: Research in the Schneeberger Lab is supported by multiple national and international grants, providing resources for high-throughput sequencing, computational infrastructure, and interdisciplinary training. The group actively collaborates with leading plant research centers worldwide, sharing data and tools to accelerate discoveries in crop improvement and evolutionary biology. Team & Environment: The lab operates as a vibrant, international environment with state-of-the-art wet-lab and computational facilities. Trainees and staff benefit from the rich ecosystem of LSM, including structured doctoral programs, career mentoring, and access to cutting-edge core facilities.
Francesca Fallucchi is an Associate Professor at Guglielmo Marconi University in Rome since 2008 and an information scientist at Georg-Eckert-Institut (GEI) since July 2017, working in the Human-Centered Technologies for Educational Media department. Her research focuses on the intersection of computer science and humanities, with particular emphasis on knowledge organization , information retrieval , semantic technologies , and big data management applied to educational media and cultural heritage. Her work bridges theoretical computer science with practical applications in digital humanities. Analysis of her recent publications (2021-2024) reveals a research trajectory spanning multiple domains: from foundational work in semantic web and NLP to emerging applications in metaverse technologies, blockchain for energy monitoring, and explainable AI for healthcare. Her work consistently demonstrates interdisciplinary approaches combining computer science with domain-specific challenges. Dr. Fallucchi has been actively involved in academic service, including organizing the 17th International Conference on Metadata and Semantics Research (MTSR 2023) and serving as editor for Computers trade magazine since 2021. Her professional activities include significant project leadership as Deputy Project Manager for Edumeres Toolbox and contributions to numerous research projects including GLOTREC, GEI-Digital, PalTex, DemoS, PVE-E, and WorldViews.
Minki Kim is an Assistant Professor in the Department of Economics at the University of Mannheim and a member of the Collaborative Research Center Transregio 224 (CRC TRR224), focusing on economic perspectives for societal challenges like equality of opportunity and public health. Her research bridges macroeconomics, development economics, and human capital analysis. Ph.D. in Economics from UC San Diego (2023) Teaches Advanced Macroeconomics , Development Economics , and Macroeconomics of Development Her research explores macroeconomic responses to health crises, structural transformation, human capital investments, and the economic impacts of policy interventions. Key projects include modeling malaria eradication's economic effects and analyzing debt's influence on talent allocation. She employs structural modeling and empirical analysis across Sub-Saharan Africa, the U.S., and Ghana. Recent work with the STEG small research grant includes pandemic policy design and cash transfer multiplier effects. She has published in journals like the Journal of Applied Econometrics and IMF Economic Review , with pre-doctoral work in Korean industrial organization. Scientific Awards: STEG small research grant for malaria eradication modeling STEG small research grant for cash transfer analysis Her teaching includes graduate courses on macroeconomics and development economics. She collaborates extensively with researchers like Munseob Lee and Mitchell VanVuren, often engaging with institutions such as the International Growth Centre (IGC) and the STEG initiative.
Prof. Dr. Daniel Krähmer is a faculty member at the Institute of Microeconomics within the University of Bonn . As a project leader in CRC 224 , he focuses on theoretical economics, particularly Information Economics and Game Theory. His office is located at Lennestr. 43, 2nd floor, and his work explores Mechanism Design, Contract Theory, and Behavioral Economics. His research integrates Industrial Organization and Microeconomics, addressing topics like liquidity constraints, strategic communication, and consumer behavior in search markets. Publications span top journals such as Journal of Economic Theory , American Economic Journal: Microeconomics , and Review of Economic Studies . Collaborators include Roland Strausz, Tobias Gamp, and Helmut Bester.
Dr. Muhammad El-Hindi is a Postdoctoral Researcher at the Chair of Decentralized Information Systems and Data Management at the Technical University of Munich . He joined the chair in August 2025 and focuses on cloud-native data systems, distributed systems, and formal verification of distributed protocols. His work emphasizes designing high-performance, cost-efficient services like write-ahead logging and distributed page servers, aiming to enhance reliability and security in large-scale systems. Research Interests: Cloud-native data systems, secure cloud databases, distributed systems, formal verification of protocols Teaching: Cloud Information Systems, Data Structure Engineering, Blockchain Technologies, Federated Learning, Distributed Graph Processing Email: muhammad.el-hindi@tum.de His recent publications explore kernel-bypass optimization, AWS Nitro Enclaves, Intel SGX hardware, and blockchain-based shared databases. While no scientific awards are explicitly mentioned in the available data, his work contributes to advancing secure and efficient data management in cloud environments.
Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.
Bennet Gebken is a researcher at the Department of Mathematics , Technical University of Munich , affiliated with the Chair of Mathematical Optimization led by Prof. Ulbrich. His work focuses on nonsmooth and multiobjective optimization, particularly in PDE-constrained problems and numerical continuation methods. Research Interests: Bennet specializes in nonsmooth optimization, multiobjective optimization, and regularization techniques. His recent work explores convergence analysis in nonsmooth settings, second-order gradient sampling, and inverse optimization methods for data-driven decision criteria. Publications: His research spans topics like PDE-constrained multiobjective optimization, L1 penalty terms, and the hierarchical structure of Pareto critical sets. Key trends include reduced-order modeling, computational efficiency, and the interplay between optimization and machine learning. Contact: bennet.gebken@tum.de . Based at Boltzmannstr. 3, Garching b. München, Germany.
Dr. Maura Haas-Renninger is a Scientific Project Associate and Interim Curator of Hymenoptera at the State Museum of Natural History Stuttgart (SMNS), where she researches insect decline, parasitoid wasp ecology, and ecosystem services. Her work establishes foundational data for parasitoid monitoring and explores their responses to landscape structures. Education includes: PhD (2020-2024): University of Hohenheim & SMNS, Dissertation: 'Ecosystem services and insect decline: The role of parasitoid Hymenoptera' M.Sc. Biology (2017-2020): University of Hohenheim, Thesis: 'Energetic limitations and torpor use in garden dormice' B.Sc. Biology (2014-2017): University of Hohenheim, Thesis on small mammal ecology Her research integrates field ecology, conservation methodology, and taxonomic studies of Hymenoptera. Key interests include quantifying parasitoid contributions to natural pest control, assessing habitat management strategies (e.g., arthropod-friendly mowing), and developing efficient biodiversity monitoring techniques. Publications consistently address anthropogenic impacts on insect communities and adaptive conservation solutions. Awards: LGFG Doctoral Scholarship, Baden-Württemberg (2020-present) No student advising or grant activities are documented. She collaborates with the Entomology Team at SMNS and maintains memberships in the Entomological Society Stuttgart, International Society of Hymenopterists, and other scientific associations.
