جست‌وجوی استاد و پژوهشگر

• Cognitive Modeling
• Machine Learning
• Control Theory
• +۳ مورد دیگر

Dr. Clemens Bombach is a postdoctoral researcher at the Professorship of Predictive Analytics within the School of Human Sciences and Technology (HSW) at Chemnitz University of Technology (TU Chemnitz). His work bridges cognitive modeling, machine learning, and mathematical control theory to predict individual human behavior and analyze complex systems. Education: PhD in Mathematics (Dr. rer. nat.) from TU Chemnitz, 2024 Studies in Mathematics at TU Chemnitz, 2009–2016 Research Interests: Dr. Bombach focuses on cognitive modeling and machine learning for behavioral prediction, alongside mathematical control theory and inverse problems. His current work emphasizes observability estimates for parabolic and non-autonomous systems, leveraging L p -spaces and functional analysis. Publication Trends: His publications primarily address control theory, inverse problems, and differential equations, with recent contributions to observability theorems, singular potentials, and applications of harmonic analysis. Collaborations with colleagues like M. Tautenhahn and F. Gabel highlight his interdisciplinary approach. Teaching: He contributes to exercises in mathematics, including courses on partial differential equations, complex analysis, and higher mathematics for engineering, computer science, and physics students. Projects: Currently leads the DfG-Project "PREDIR" (2025–2027), developing systems, algorithms, and cognitive models to predict human inference processes.

• Political Economy
• Comparative Politics
• International Relations
• +۳ مورد دیگر

Natascha S. Neudorfer serves as Professor of Political Economy at Heinrich Heine University Düsseldorf within the Department of Political Science (Faculty of Philosophy), holding a chaired professorship focused on political economy and conflict analysis. Previously, she held positions as Associate Professor and Birmingham Fellow in International Security at the University of Birmingham, and served as postdoctoral researcher and lecturer at Ludwig Maximilian University of Munich and Amsterdam University College. Her academic foundation includes a PhD in Political Economy from the University of Essex, complemented by research and teaching experience across diverse institutions including Berkeley, Duke, Konstanz, and Limerick. This multinational trajectory has cultivated expertise in navigating interdisciplinary research environments. Neudorfer specializes in the intersection of corruption and civil conflict, employing advanced quantitative methods (machine learning, inferential statistics) alongside qualitative and mixed-methods approaches. Her work spans political economy, comparative politics, and international relations with geographic focus on both developing regions (particularly Africa) and developed nations. Current investigations examine gendered corruption pathways, institutional design in post-conflict settings, and machine learning applications for conflict prediction. Recent publications reveal methodological innovation through machine learning integration in political science, with sustained emphasis on corruption dynamics in electoral processes and peace agreements. Her research demonstrates consistent cross-regional applicability from Eastern European elections to African conflict resolution. Key recognition includes the Birmingham Fellowship in International Security. She contributes significantly to scholarly discourse as associate editor of the Journal of Global Security Studies. Birmingham Fellow in International Security Neudorfer actively mentors emerging scholars and leads collaborative projects including the Dataset of Political Agreements in Internal Conflicts (PAIC), which has become a critical resource for conflict researchers. Her work receives support from academic research frameworks enabling cross-continental data collection and methodological innovation. She operates within globally distributed research networks, leveraging experience from multicultural teams formed during her tenure at institutions across Europe and North America. Current projects emphasize computational approaches to analyze power-sharing mechanisms and corruption networks in transitional societies.

• Psycholinguistics
• Neurolinguistics
• Language Production
• +۵ مورد دیگر

Prof. Dr. Katharina Spalek serves as Professor of Psycho- and Neurolinguistics at Heinrich Heine University Düsseldorf's Faculty of Arts and Humanities within the Institute of Linguistics since her appointment in August 2021. Her research examines human language processing across multiple linguistic levels—from phonetics to narrative discourse—with particular emphasis on focus alternatives and memory mechanisms. Current affiliations include leadership of ERC-funded projects and active participation in international research collaborations. Her educational background spans German linguistics and psychology studies at Heidelberg University, University of Oxford, and Humboldt University Berlin, culminating in a doctoral degree from Radboud University Nijmegen (2005). Postdoctoral research followed in the USA and UK before her 2007 appointment as junior professor at Humboldt University Berlin. Spalek's research trajectory evolved from language production in monolingual/bilingual speakers toward language comprehension, investigating how humans process sounds, words, phrases, and narrative discourse. Recent work integrates electrophysiological (ERP), behavioral, and computational methods to explore focus alternatives, cross-linguistic variation (including Vietnamese tonal systems), and the interplay between linguistic and visual information. Her experimental paradigms frequently employ picture-word interference, recall tasks, and discourse analysis to uncover cognitive mechanisms underlying alternative set representation. Analysis of her 15 most recent publications (2019-2024) reveals three dominant trends: (1) neurocognitive investigation of focus alternatives using ERP methodology, (2) cross-linguistic studies of intonation and tonal processing, and (3) computational modeling of human performance in language tasks. These works consistently bridge theoretical linguistics with experimental validation, emphasizing memory encoding for contextual alternatives and individual differences in processing. ERC Starter Grant for 'focus alternatives in the human mind' (2016) Posterpreis at 17th Herbsttreffen Patholinguistik (2023) Her ERC-funded research program examines how focus particles and pitch accents modulate alternative set representation in production and comprehension. Current projects investigate neural correlates of discourse memory, Vietnamese intonation patterns, and computational models of human language processing limitations. Collaborative work spans institutions in Germany, Netherlands, and Vietnam, with methodological emphasis on controlled experiments and cross-linguistic comparison. Spalek leads the Psycho- and Neurolinguistics research group within the Institute of Linguistics, utilizing facilities for ERP recording, eye-tracking, and behavioral experimentation. Her team conducts interdisciplinary research at the intersection of linguistics, cognitive science, and neuroscience, with particular focus on how information structure shapes language processing and memory.

Michael Schlottke-Lakemperمشاهده پروفایل

استاد

• High-Performance Scientific Computing
• Adaptive Multi-Physics Simulations
• Research Software Engineering
• +۴ مورد دیگر

Dr. Michael Schlottke-Lakemper is a Professor of High-Performance Scientific Computing at the University of Augsburg, Faculty of Mathematics, Natural Sciences, and Materials Engineering. He previously held positions as an Interim Professor of Computational Mathematics at RWTH Aachen University (2022–2024) and led a research group at the High-Performance Computing Center Stuttgart (HLRS) from 2021 to 2024. His career includes postdoctoral roles at the University of Cologne and RWTH Aachen University/FZ Jülich. Education: Ph.D. in Mechanical Engineering, RWTH Aachen University (2017) Diplom in Aerospace Engineering, University of Stuttgart (2011) His research focuses on adaptive multi-physics simulations, research software engineering for high-performance computing (HPC), and scientific machine learning. Applications span fluid mechanics, aeroacoustics, and astrophysics, with recent work emphasizing robust high-order summation-by-parts methods and Julia-based computational frameworks like Trixi.jl and TrixiParticles.jl. His publications highlight advancements in discontinuous Galerkin methods, entropy stable schemes, and HPC optimization for compressible flows. Scientific contributions include Developing dynamic load balancing algorithms for multiphysics simulations Creating hybrid computational aeroacoustics methods Advancing Julia's adoption in HPC communities Improving error-based step size control in numerical solvers Current teaching activities include graduate seminars on Maschinelles Lernen in Theorie und Praxis and undergraduate courses in Numerische Lineare Algebra . He leads a research team at the University of Augsburg with collaborators across Germany, including Simon Candelaresi, Valentin Churavy, and Niklas Neher.

• Information Systems
• Market Engineering
• Digital Platforms
• +۷ مورد دیگر

Christof Weinhardt is a Full Professor (W3) at the Karlsruhe Institute of Technology (KIT), where he leads research and teaching in the Institute of Information Economics and Marketing (IISM). He also serves as Director of the Department 'Information Process Engineering (IPE)' at the FZI Research Center for Information Technology and as Founder and Director of the Karlsruhe Service Research Institute (KSRI). His academic career spans over three decades, with significant contributions to information systems research at both national and international levels. Professor Weinhardt's research interests are broad and interdisciplinary, focusing on the engineering of online platforms and markets across various sectors including renewable energies, data marketplaces, and financial markets/FinTech. Recent work examines the influence of emotions on economic decision-making and societal phenomena such as polarization through hate speech, fake news, and social media algorithms. His approach integrates economic, technical, and social perspectives to address complex digitization challenges. The publication record shows a strong focus on energy markets, AI applications, disinformation detection, and digital democracy. Recent articles demonstrate increasing attention to societal impacts of technology, particularly how algorithms affect democratic processes and social cohesion. His work bridges theoretical foundations with practical applications across energy, finance, and social domains. Paul Julius Reuter Award (2000 and 2001) IBM Shared University Research (SUR) Grant (2002 and 2007) Best Teaching Award (2008) IBM Faculty Award (2008) Professor Weinhardt has supervised over 25 PhD students who have gone on to hold professorial positions at universities worldwide. His research has been supported by numerous grants including DFG Research Training Groups and IBM funding. He serves on multiple editorial boards and has held leadership positions in professional organizations including the German Informatics Society (GI). He leads the Karlsruhe Service Research Institute (KSRI) which focuses on interdisciplinary service research, and is involved with the FZI Research Center for Information Technology where his team works on information process engineering projects. His current research agenda emphasizes the societal implications of digital technologies, particularly how to design trustworthy platforms and mitigate negative social impacts of algorithmic systems.

• Digital Image Processing
• Object Recognition
• Artificial Intelligence
• +۵ مورد دیگر

Prof. Jan Flusser is a distinguished researcher and professor specializing in digital image processing and pattern recognition. He serves as the research deputy director at the Institute of Information Theory and Automation of the Czech Academy of Sciences (UTIA CAS) since 2017, having previously served as director from 2007-2017. He is actively involved in teaching at Charles University's Faculty of Mathematics and Physics (MFF UK) and Czech Technical University's Faculty of Nuclear Sciences and Physical Engineering (FJFI ČVUT). His research focuses on digital image processing, object recognition, and artificial intelligence, with specific expertise in image fusion, moment invariants for object recognition, image registration, and blind deconvolution. Prof. Flusser has authored or co-authored over 200 scientific publications including two major monographs: "Moments and Moment Invariants in Pattern Recognition" (Wiley, 2009) and "2D and 3D Image Analysis by Moments" (Wiley, 2016). His work has received over 21,000 Google Scholar citations and 11,500 SCOPUS citations (H-index 47 and 37 respectively). Prof. Flusser has led more than 20 basic research projects (both national and international) as well as applied projects, particularly in computer vision, astronomy, remote sensing, and medicine. From 2015-2018, he coordinated the research program "Hope and Risks of the Digital Age" as part of the AV21 Strategy. His research has been recognized with several prestigious awards including the Czech Academy of Sciences Award in category "A", the Chairman of the Czech Science Foundation Award, and the Elsevier "SCOPUS 1000 Award". Cena AV ČR v kategorii "A" za přínos k teorii fúze digitálních obrazů (2007) Cena předsedy GA ČR za výsledky v oblasti rekonstrukce obrazů v astronomii (2007) Cena nakladatelství Elsevier "SCOPUS 1000 Award" (2010) Felberova medaile ČVUT II. stupně (2015) Akademická prémie AV ČR (2017) Senior Member IEEE Prof. Flusser has successfully supervised 14 PhD students (including 2 international students as of 2024) and has been instrumental in establishing doctoral programs in computer graphics and image analysis. He serves on multiple committees for final state examinations and PhD dissertation defenses, and chairs the committee for DSc. dissertation defenses at the Czech Academy of Sciences in the field of Informatics and Cybernetics.

Emilio Jesús Gallego Ariasمشاهده پروفایل

پژوهشگر ارشد

• Theorem Proving
• Functional Programming
• Computer Music
• +۷ مورد دیگر

Emilio Jesús Gallego Arias is a non-tenured Research Fellow at the French National Center for Scientific Research (CNRS), hosted at the Institute of Fundamental Computer Research (IRIF) of CNRS and University of Paris Cité. He is also a member of the PiCube Inria team. Previously, he held postdoctoral positions at the University of Pennsylvania (2012–2014) and MINES ParisTech (2014–2019). His research spans mechanically-verified functional and logic programming , with a focus on the Coq proof assistant and the Mathematical Components Library . He develops tools like coq-lsp (language-server for Coq IDEs) and jsCoq (web interface), replacing earlier projects like SerAPI . His work bridges programming language theory , digital signal processing , and formal verification , particularly in the ANR FEEVER project for verifying Faust programs. His 15 most recent works (2014–2024) address type systems , differential privacy , and formal verification in domains like audio processing and mechanism design . Publications span journals (e.g., Journal of Privacy and Confidentiality), conferences (ICML, POPL, FARM), and workshops (CoqPL, UITP). He contributes to open-source projects (GitHub), including DFuzz (linear dependent types), DualQuery (privacy algorithms), and RAM (relational machine). He uses formal methods in collaborative development platforms (Gitter, GitLab) and advocates for free software and accessible audio technology .

Dominik Daubeمشاهده پروفایل

پژوهشگر

• Health Communication
• Planetary Health
• Mental Health
• +۳ مورد دیگر

Dominik Daube is a postdoctoral researcher at the University of Erfurt within the Institute for Planetary Health Behavior (IPB) . He serves as a research assistant in the HEATCOM project funded by Germany's Federal Ministry of Health, investigating heat-related citizen behavior and planetary health. As a Researcher , he contributes to the Health Communication Section of the German Society for Journalism and Communication Studies (DGPuK) as First Mid-Level Speaker, and participates in the Erfurt Open Science Initiative (EFOSI) . Education: 2024 Dr. of Health Communication, Friedrich Schiller University Jena 2019 MA in Health Communication, University of Erfurt 2017 BA in Communication Studies (major) with Political Science and Law (minor), University of Erfurt His research focuses on health-related behavioral research with planetary health applications. Recent publications examine dementia care decision-making , shared responsibility attribution , and digital nudge interventions for healthier choices. Professional experience includes roles at: Friedrich Schiller University Jena (2019-2023) as Research Associate Institute of General Medicine, Jena University Hospital (2023) Teaching positions in eHealth & Communication programs Scientific awards include the 2022 German Congress of Healthcare Research Scholarship . He has presented at international conferences including ICA, ECREA, and European Conference on Health Communication.

Fabian Ostermannمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Computer Music
• Algorithmic Music Composition
• +۵ مورد دیگر

Fabian Ostermann is a researcher at the Chair 11: ALGORITHM ENGINEERING within the Department of Computer Science at Technical University of Dortmund. His work focuses on the intersection of artificial intelligence and music technology, with particular expertise in algorithmic composition and evolutionary approaches to music generation. His primary research interests include: Artificial Intelligence for Music Applications Computer Music and Algorithmic Composition Reinforcement Learning and Evolutionary Algorithms Neuroevolution and Procedural Content Generation Music Information Retrieval Systems Ostermann's research output demonstrates a strong focus on applying AI techniques to music creation and analysis. His recent work explores the use of large language models in evolutionary music generation, adaptive video game music systems, and novel approaches to instrument recognition in polyphonic audio. He has developed significant resources for the research community including the AAM dataset of artificial audio multitracks, which contains 3,000 algorithmically generated music tracks with rich annotations. His scientific contributions have been recognized through invitations to serve on program committees for major conferences including EvoMUSART (2024, 2025) and IJCAI's Special Track on AI, the Arts, & Creativity. He has also contributed to journals such as Computer Music Journal and Transactions of the International Society for Music Information Retrieval. Ostermann has supervised numerous student theses on topics ranging from transformer-based music generation to evolutionary approaches for recreating vector graphics. His teaching portfolio includes courses on practical optimization, music informatics, and digital entertainment technologies across multiple semesters from WS20/21 through SS25.

Arno Pasternakمشاهده پروفایل

مدرس

• Computer Science Education
• Didactics of Informatics
• Curriculum Development
• +۴ مورد دیگر

Dr. Arno Pasternak is a Lecturer in the Department of Computer Science at the Technical University of Dortmund , Germany, where he is affiliated with Chair 11: Algorithm Engineering . He is responsible for courses on the didactics of computer science and programming education, primarily aimed at training future secondary-school teachers. Education PhD (Dr. rer. nat.) obtained in 2013 from Westfälische Wilhelms-Universität Münster ; dissertation title: "Fach- und bildungswissenschaftliche Grundlagen für den Informatikunterricht in der Sekundarstufe I" (Subject-matter and Educational Foundations for Computer-Science Instruction at Lower-Secondary Level). Research Interests Dr. Pasternak’s research focuses on computer-science education , didactics of informatics , and empirical evaluation of teaching concepts . He designs and evaluates long-term, context-oriented curricula for secondary schools, investigates the role of programming and physical computing in early CS education, and contributes to the development of national educational standards for informatics in Germany. Publication Trends His recent publications (2010-2019) center on braided teaching models , contextualized CS curricula , and competency standards . The work spans both theoretical frameworks and rigorous empirical studies conducted in authentic classroom settings, often involving multi-year longitudinal data from grades 6-10. Scientific Contributions & Service Co-author of the official "Bildungsstandards Informatik für die Sekundarstufe II" (Educational Standards for Informatics in Upper-Secondary Education) issued by the German Informatics Society (GI). Member of the editorial board for INFOS 2019 conference proceedings (Lecture Notes in Informatics Vol. P288). Panelist at international venues such as SIGCSE and FIE on implementing CS curricula in secondary education. Teaching & Advising Dr. Pasternak regularly teaches Didaktik der Informatik , Programmiersprachen , Physical Computing , and accompanying seminars for teacher trainees’ practical semesters. While individual student names are not disclosed, he supervises numerous bachelor, master, and practical-semester projects focused on CS education. Labs & Teams He is an integral member of Chair 11’s Algorithmic Foundations and Education in Computer Science research group led by Prof. Dr. Johannes Fischer, contributing to the intersection of algorithmics and CS education.

Tobias Wulfertمشاهده پروفایل

پژوهشگر ارشد

• IT Systems
• Enterprise Systems
• Digital Platforms
• +۵ مورد دیگر

Tobias Wulfert, Ph.D., serves as a Research Fellow at the University of Duisburg-Essen's Faculty of Computer Science, specifically within the Department of Business Informatics and Integrated Information Systems under Prof. Dr. Reinhard Schütte. His academic journey includes a Master of Science in Business Information Systems from the University of Münster (2015-2017) and a Bachelor of Science from the Baden-Württemberg Cooperative State University in Mannheim (2012-2015), with additional professional experience at Atos in various technical and project management roles. Dr. Wulfert's research focuses on the intersection of digital platforms, enterprise systems, and retail transformation, with particular expertise in e-commerce ecosystems, sustainable business practices, and machine learning applications in retail environments. His work examines how digital platforms transform traditional value chains, particularly in construction, retail, and e-commerce sectors, analyzing boundary resource management, ecosystem standardization, and sustainable development initiatives within platform ecosystems. His publication record demonstrates consistent scholarly output in top-tier journals including Electronic Markets, Information & Management, and HMD Praxis der Wirtschaftsinformatik, with a clear trend toward increasingly sophisticated analysis of platform ecosystems, sustainability integration, and the application of artificial intelligence in retail contexts. Recent work shows a progression from foundational studies on platform architecture to more complex analyses of sustainability impacts and agent-based modeling of ecosystem dynamics. Through his teaching of Retail Enterprise Systems and Impact and Economics of IT Systems, Dr. Wulfert bridges theoretical research with practical applications, emphasizing the economic implications of IT investments and the strategic management of digital transformation. His supervision of numerous bachelor's and master's theses reflects his commitment to developing the next generation of business informatics professionals, with thesis topics spanning blockchain applications, smart services, platform governance, and digital transformation across various industries. Dr. Wulfert's collaborative research approach is evident in his extensive co-authorship network, particularly with colleagues at the University of Duisburg-Essen, demonstrating strong institutional integration while maintaining connections with international research communities through conference presentations at venues including ECIS, PACIS, and HICSS.

Marc-André Keipمشاهده پروفایل

استاد

• Continuum Mechanics
• Computational Mechanics
• Materials Theory
• +۶ مورد دیگر

Prof. Dr.-Ing. Marc-André Keip is a Professor for Materials Theory at the Institute of Applied Mechanics (CE), University of Stuttgart. He serves as the Dean of the Computational Mechanics of Materials and Structures (COMMAS) program and Head of the Chair of Materials Theory. Additionally, he is the Academic Dean of the Department of Civil and Environmental Engineering at the University of Stuttgart since 2019. Prof. Keip earned his Doctoral degree in Engineering Sciences from the University of Duisburg-Essen in 2011 with a dissertation titled "Modeling of electro-mechanically coupled materials on multiple scales" under the supervision of Prof. Dr.-Ing. Jörg Schröder. He completed his Diploma in Civil Engineering from the University of Duisburg-Essen in 2004 after studying there from 1999-2004. His research focuses on Continuum Mechanics , Computational Mechanics , and Materials Theory , with specific interests in: Theory of Porous Media Elasticity and Plasticity Constitutive Modeling at Large Strains Homogenization Techniques Micro-Mechanics Finite Element Formulations Prof. Keip's recent publications (2018-2019) demonstrate a strong focus on phase-field modeling approaches for fracture mechanics, computational homogenization techniques, and multiscale modeling of electro-magneto-mechanically coupled materials. His work bridges theoretical continuum mechanics with advanced computational implementations, particularly in the areas of magneto-electro-active polymers, fracture mechanics, and constitutive modeling of complex materials. Among his recognitions, Prof. Keip received the Teaching Award of the University of Stuttgart in 2018. As Head of the Chair of Materials Theory, Prof. Keip oversees teaching activities covering undergraduate and graduate courses in Civil Engineering, Environmental Engineering, Medical Engineering, Simulation Technology, and Computational Mechanics of Materials and Structures. His research group has supervised numerous Bachelor's and Master's theses on topics related to computational mechanics, materials modeling, and finite element methods.

Kerstin Tackmannمشاهده پروفایل

استاد

• Experimental Particle Physics
• High Energy Physics
• Higgs Boson Physics
• +۵ مورد دیگر

Prof. Dr. Kerstin Tackmann is a Principal Investigator at Universität Hamburg and Leading Scientist at Deutsches Elektronen-Synchrotron (DESY). She actively participates in the ATLAS collaboration at CERN's Large Hadron Collider (LHC) and the Belle II collaboration at KEK in Japan. Her academic journey includes a doctorate from University of California, Berkeley (2008) and diploma from Technische Universität Dresden (2004). Co-supervisor for Jim Lacey Roger Naranjo Garcia Daniela Küchler Kurt Brendlinger Früd Braren Tina Ojeda Research Interests: Kerstin Tackmann's work focuses on Higgs boson properties , particularly its decays into two photons and four leptons. She also investigates B-meson decays for quark mixing analysis and top quark physics . Her technical contributions include photon and electron reconstruction , detector calibration , and data simulation improvements. Current projects analyze new physics beyond Standard Model through differential cross-sections and Yukawa coupling constraints . Scientific Trends: Recent publications show emphasis on top quark mass measurements , slepton/sneutrino searches , W-boson production , and D-meson yields . Methodologies involve ATLAS detector performance , missing transverse momentum reconstruction , and high-precision Higgs studies . Awards: Kerstin Tackmann received the ERC Starting Grant (2016-2021) Helmholtz Young Investigator Group Funding (2011-2016) Labs & Teams: She leads the ATLAS group at DESY and collaborates with the Belle II team at KEK. Her work integrates with CERN's LHC experiments and DESY's particle physics division .

Mathias Wilhelmمشاهده پروفایل

استاد

• Computational Proteomics
• Mass Spectrometry
• Bioinformatics
• +۳ مورد دیگر

Prof. Dr. Mathias Wilhelm is a Professor of Computational Mass Spectrometry at the Chair of Proteomics and Bioanalytics at the Technische Universität München (TUM) . His research focuses on computational proteomics , machine learning applications in mass spectrometry , and multi-omics data integration , particularly through projects like ProteomicsDB and Prosit . He leads a multidisciplinary team developing open-source software for proteomics data analysis and co-founded MSAID and OmicScouts . His teaching includes advanced bioinformatics courses and problem-based learning modules at TUM. He serves on the scientific advisory board of Momentum Biotechnologies and collaborates extensively in quantitative proteomics , phosphoproteomics , and immunopeptidomics . His work emphasizes FAIR data principles and high-throughput experimental frameworks .

• Ethics of technology
• Political ethics
• AI ethics
• +۵ مورد دیگر

Matthias Braun is Professor of Social Ethics at the Faculty of Protestant Theology at the University of Bonn, holding the Chair of (Social) Ethics since the winter semester of 2022/23. Previously, he was head of the junior research group "Ethics and Governance of New Technologies" at the Friedrich-Alexander University Erlangen-Nuremberg until 2022. His academic journey includes research positions at institutions in Marburg, Erlangen, Bergen, Maastricht, and Oxford. Braun's research focuses on the ethical and governance challenges of emerging technologies, particularly examining how new technologies change social forms of life and institutions. His work spans political ethics, AI ethics, digital twin technology, data governance, and theological ethics. Using empirical and analytical-hermeneutic methods, he assesses social values and norms to develop responsible approaches to technological development. His recent publications demonstrate a clear trajectory toward increasingly sophisticated examinations of technology's societal impacts, with a growing emphasis on practical implementation of ethical frameworks. The research shows deep engagement with both theoretical foundations and concrete applications, particularly in healthcare contexts where ethical considerations have immediate real-world consequences. European Research Council research award recipient Falling Walls Award in Social Science and Humanities Braun leads the ERC-funded project on the ethics of digital twins and collaborates extensively across disciplinary boundaries. His work with the Collaborative Research Center EmpkinS and the Transdisciplinary Research Center "Life & Health" demonstrates his commitment to bridging academic research with practical societal concerns. Through initiatives like the Lunch Series on "Ethics, AI, and Health" and the "SciCom with Kids" program, he actively engages with diverse audiences to foster public discourse on technology ethics.