جست‌وجوی استاد و پژوهشگر

Michel Clementمشاهده پروفایل

استاد

• Marketing & Media Management
• Digital Technologies in Media
• Customer/Donor Behavior Analysis
• +۵ مورد دیگر

Prof. Michel Clement is a Professor of Marketing & Media at the University of Hamburg Business School, holding the Chair for Marketing & Media since 2006. He previously held academic positions at the University of Passau (2005/2006) and Christian-Albrechts-University Kiel (2002–2005). His research focuses on entertainment media product management, new technologies, and donor/customer management. He has held significant administrative roles including Academic Senate Member (2013–present), Faculty Council Member (2014–present), and Director of the Research Center Media and Communication (2008–present). Education: PhD in Marketing from Christian-Albrechts-University Kiel (mentor: Prof. Sönke Albers), with a Master's in Business Administration focusing on Marketing, Innovation Management, and Psychology. Pre-academic career included management roles at Bertelsmann mediaSystems and Bertelsmann eCommerce Group, where he founded Snoopstar.com GmbH as Vice President. Research interests span digital media economics, prosocial behavior in healthcare donations, platform business models, and consumer decision-making in entertainment industries. He has contributed to understanding blood/plasma donation retention strategies, smart speaker impacts on media consumption, and pandemic-related behavioral changes. Leadership roles include supervisory board memberships at MADSACK Mediengruppe (2018–present), Studierendenwerk Hamburg (2017–present), and Universität Hamburg Marketing GmbH (2015–present). He has directed major initiatives like the Hamburg Graduate School for Media and Communication (2009–2016) and co-developed international MBA programs with Fudan University (2006–2008). Grants and collaborations include state-funded excellence initiatives and industry partnerships. His work integrates academic research with practical applications in media technology scouting, venture consulting, and digital platform governance.

Alexander Kollerمشاهده پروفایل

استاد

• Computational Linguistics
• Neural-Symbolic Models
• Semantic Parsing
• +۵ مورد دیگر

Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.

• Fuzzy Systems
• Computational Intelligence
• Nonlinear Control
• +۴ مورد دیگر

Michio Sugeno is a distinguished Professor at Tokyo Institute of Technology's Graduate School of Information Science and Engineering, Department of Computational Intelligence. With a career spanning over four decades, he has established himself as a leading figure in fuzzy systems and computational intelligence. His research interests encompass Fuzzy Systems, Computational Intelligence, Nonlinear Control, Choquet Integral theory, Brain-Computer Interfaces, and Linguistic Computing. Sugeno's work has fundamentally shaped modern fuzzy control theory, particularly through his development of the Takagi-Sugeno fuzzy model which has become a standard approach in industrial applications. Analysis of his recent publications reveals a continued focus on piecewise nonlinear modeling, stability analysis of fuzzy systems, and the application of Choquet calculus to various computational problems. His work demonstrates a consistent trajectory from theoretical foundations to practical implementations in control systems and intelligent computing. IEEE Pioneer Award in Fuzzy Systems IFSA Fellow Emanuel R. Piore Award Sugeno has mentored numerous researchers who have become prominent in their own right, including Tadanari Taniguchi, Luka Eciolaza, and Anh-Tu Nguyen. His laboratory has been instrumental in developing novel approaches to nonlinear control systems using piecewise bilinear models and fuzzy logic. Current research directions include brain-computer interfaces using EEG analysis and the development of everyday language computing systems that enable more natural human-computer interaction.

Luisa Sieversمشاهده پروفایل

پژوهشگر

• Economic Impact Assessment
• Climate Policy Analysis
• Transportation Economics
• +۳ مورد دیگر

Luisa Sievers is a Researcher at the Fraunhofer Institute for Systems and Innovation Research ISI, where she has worked since 2010. She holds a PhD in Economics from the Universität der Bundeswehr München (2020) and a Diploma in Physics and Environmental Economics from Humboldt University Berlin and Heidelberg University. Her research focuses on economic impact assessments of long-term strategies in transport, climate, and technology, with expertise in Input-Output Modelling and System Dynamic Modelling. Key areas include structural change in the mobility sector, regional and social distribution effects of energy transitions, and employment impacts of sustainable mobility. Her work spans projects such as the Ariadne project on energy system transformation, climate protection scenarios for 2050, and the National Cycling Plan 2030. She has received the IKU Innovation Award for Climate and Environment, recognizing her contributions to environmental and climate policy research. Publications highlight her analysis of Germany’s energy transition, employment effects of sustainable transport, and the macroeconomic implications of renewable energy expansion. She collaborates extensively with institutions like the German Federal Environment Agency and the Hans-Böckler-Stiftung, contributing to policy-relevant studies on socio-economic impacts of climate policies and energy systems.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

Björn Alpermannمشاهده پروفایل

استاد

• Political Science
• Chinese Studies
• Social Change
• +۴ مورد دیگر

Prof. Dr. Björn Alpermann is a Full Professor of Contemporary Chinese Studies at the University of Würzburg's Faculty of Philosophy. He has held this position since 2013 and previously served as a Junior Professor there from 2008–2013. His academic career includes a doctorate in Modern Chinese Studies from the University of Cologne (2006) and research stints at the University of California, Berkeley, and Nankai University. Research Focus: Alpermann specializes in Chinese political systems, rural governance, minority policies (especially Xinjiang and Tibet), and social change. He leads major projects such as the EU-funded 'Remote Ethnography of Xinjiang' (2023–present) and the BMBF-funded 'Worldmaking from a Global Perspective' (2020–2023). His work critically examines China's governance strategies, ethnic policies, and international relations. Publications: Alpermann authored books on Xinjiang, rural-urban transformation, and social change in China. His research analyzes China's political economy, state-society relations, and the interplay between modernization and authoritarianism. He frequently publishes in journals like Journal of Current Chinese Affairs and has contributed to edited volumes on governance and social stratification. Professional Roles: He coordinates the EU and BMBF projects, serves as a spokesperson for interdisciplinary initiatives, and advises on China policy. His work bridges academic rigor with policy relevance, addressing topics like human rights, ethnic conflict, and developmental state strategies. Education: Doctorate (Dr. phil.) in Modern Chinese Studies, University of Cologne (2006) Studies in Modern China, Political Science, and Economics at University of Cologne and Nankai University (1999)

Benjamin Mollمشاهده پروفایل

استاد

• Macroeconomics
• Income Distribution
• Wealth Inequality
• +۵ مورد دیگر

Benjamin Moll is the Sir John Hicks Professor of Economics at the London School of Economics and Political Science (LSE). He is also a Research Associate at the National Bureau of Economic Research (NBER), a Research Fellow at the Centre for Economic Policy Research (CEPR), and an ECONtribute Research Fellow since 2020. His work focuses on how inequality impacts the macroeconomy and macroeconomic policy. Dr. Moll received his PhD from the University of Chicago in 2010 after studying in London. His academic journey has included positions at Princeton University before joining LSE. Moll specializes in macroeconomics with distribution , particularly studying how the enormous heterogeneity observed at the micro level—especially large disparities in income and wealth—impact the macro economy and macroeconomic policy. His research employs heterogeneous-agent models to analyze monetary and fiscal policy transmission mechanisms. He has made significant contributions to the development of numerical methods for solving complex macroeconomic models with multiple endogenous state variables. His recent publications demonstrate a strong focus on the distributional effects of macroeconomic policies and energy economics , particularly examining the macroeconomic and distributional consequences of energy import disruptions. His work bridges theoretical macroeconomic modeling with practical policy analysis, especially regarding the German and European economies. Among his professional honors and affiliations: Research Associate, National Bureau of Economic Research (NBER) Research Fellow, Centre for Economic Policy Research (CEPR) ECONtribute Research Fellow since 2020 Co-editor, American Economic Review Professor Moll actively contributes to policy discussions, particularly regarding European economic policy and responses to the Russian invasion of Ukraine. He has collaborated with economists across Europe on analyses of energy policy and macroeconomic stabilization. His work on numerical methods for heterogeneous-agent models has created valuable resources for the macroeconomics community, with code implementations available on his website. Moll maintains an active research group focused on macroeconomics with distributional considerations, collaborating with economists at LSE and internationally. His research program continues to expand the understanding of how micro-level heterogeneity shapes macroeconomic outcomes and policy effectiveness.

Uwe Grünefeldمشاهده پروفایل

استاد مهمان

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Uwe Grünefeld is a Visiting Professor at the Faculty of Computer Science , Institute for Computer Science and Business Information Systems (ICB) of the University of Duisburg-Essen. He has been actively contributing to Human-Computer Interaction research through multiple publications in 2025-2022 focusing on Virtual Reality , Augmented Reality , and Robotics . Research Interests span across immersive technology applications for health behavior change (situated artifacts, weight visualization mirrors), haptic feedback systems (EMS for weight perception, vibrotactile directional cues), and behavioral biometrics (hand tracking identification, gaze-based user recognition). His work addresses cross-reality system design , collaborative robotics , and human-in-the-loop simulation methodologies . Key Publications demonstrate significant contributions to VR/AR user engagement, with particular focus on Physical activity promotion through situated artifacts Advanced haptic feedback techniques for immersive environments Behavioral biometric identification systems Robot motion intent communication Cross-reality transition visualization His research often employs mixed-method approaches combining technical implementations with user studies involving quantitative and qualitative data collection.

Katrin Vogtمشاهده پروفایل

پژوهشگر

• Behavioral Neuroscience
• Neural Circuits
• Sensory Processing
• +۷ مورد دیگر

Katrin Vogt is a Group Leader at the University of Konstanz and an Affiliated Scientist at the Max Planck Institute of Animal Behavior. She serves on the IMPRS Board and Faculty, focusing on behavioral neuroscience in Drosophila larvae. Her research explores how social context and internal states (e.g., hunger) modulate neural circuits and behavior, utilizing genetic tools like optogenetics, RNAi, and CRISPR. Key Research Areas: Behavioral flexibility under internal state changes Neural integration of sensory and state signals in the antennal lobe Role of serotonin (CSD neuron) in modulating output pathways Computational modeling of state-dependent circuit dynamics Notable Achievements: Discovered state-dependent olfactory valence switching (e.g., geranyl acetate shifts from aversion to attraction under food deprivation) Elucidated glutamatergic inhibition mechanisms in picky local interneurons Identified 5-HT7 receptor's role in upregulating uniglomerular projection neuron activity Recent Publications: 2025: PLoS Biology on multimodal sensory neurons 2024: Current Biology commentary on behavioral neuroscience 2023: Current Biology on multisensory memory merging Academic Affiliations: University of Konstanz (Group Leader, Department of Collective Behavior) Max Planck Institute of Animal Behavior (Affiliated Scientist) IMPRS for Organismal Biology (Faculty Member) Scientific Awards: DFG Research Fellowship (Project No. 345729665) Students & Collaborators: PhD students: Hari P. Narayanan, Akhila Mudunuri Research assistants: Nora Tutas, Julius Klein, Constantin Dyroff DAAD summer student: Élyse Zadigue-Dubé Recent graduates: Amelie Edmaier (BSc 2023), Constantin Dyroff (BSc 2023)

Victor Gabriel Lopez Mejiaمشاهده پروفایل

پژوهشگر

• Control Theory
• Machine Learning
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Victor Gabriel Lopez Mejia is a postdoctoral researcher at the Institute of Automatic Control Engineering, Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover. His work focuses on data-driven control systems, reinforcement learning, and multi-agent system synchronization. PhD in Electrical Engineering (2019), University of Texas at Arlington M.Sc. in Electrical Engineering (2013), CINVESTAV, Mexico B.Sc. in Telecommunications and Electronics (2010), Universidad Autonoma de Campeche Research interests include: Neural network applications in control systems Reinforcement learning for cooperative control Game-theoretic analysis of multi-agent systems Data-based modeling of nonlinear dynamics Publications highlight advancements in data-driven predictive control, Gaussian process-based estimation, and nonlinear system analysis, with recent work in IEEE Transactions on Automatic Control and conferences like CDC and ECC. He has held academic roles including Adjunct Professor at the University of Texas at Arlington and Research Assistant at UTARI (2016-2019).

• International Macroeconomics
• Monetary Policy
• Fiscal Policy
• +۳ مورد دیگر

Gernot Müller is a Professor of Economics at the School of Business and Economics, University of Tübingen. His research focuses on international macroeconomics, monetary policy, fiscal policy, and economic networks, with a particular emphasis on how news, expectations, and structural shocks propagate through economies. Current Affiliation: Professor, University of Tübingen Research Areas: Monetary policy, fiscal policy, climate economics, economic networks, conflict economics Recent publications explore topics such as the economic impact of war, tariff shocks in production networks, green transition policies, and the role of expectations in business cycles. His work appears in journals like the American Economic Review , Journal of Monetary Economics , and European Economic Review . Active collaborations with researchers across Europe and the U.S. highlight his interdisciplinary and global approach. Contact: gernot.mueller@uni-tuebingen.de

Rosanne Rademakerمشاهده پروفایل

استاد پژوهشی

• Perception
• Working Memory
• Attention
• +۳ مورد دیگر

Dr. Rosanne Rademaker is a Research Professor and Group Leader at the Rademaker Lab, part of the Ernst Strüngmann Institute (ESI) in Frankfurt, Germany, affiliated with Goethe University’s Department of Psychology. Her research focuses on understanding how sensation and cognition interact to shape human perception, particularly in visual working memory, attention, and physiological arousal states. Her lab employs behavioral, computational, and neuroimaging techniques (fMRI, M/EEG) to explore how the brain balances perceptual input with stored memories. In addition to foundational work on memory and attention, the lab investigates context effects on perception, motor-output impacts on visual processing, and computational neural principles. Rosanne emphasizes collaborative, fun science, fostering an inclusive environment through outreach and international collaborations. Key recent work includes studies on categorical representations in the visual hierarchy and neural dynamics during memory recall. Lab Members: Giuliana Giorjiani (PhD), Noa Noelle Krause (MSc), Amit Rawal (PhD), Maria Servetnik (PhD), Nursima Ünver Aydingül (PhD). Grants & Collaborations: Mishal Qubad’s “Junior Clinician Scientist” grant on schizophrenia visual maps, international collaborations with Toronto and the Max Planck School of Cognition. Teaching: Lectures on “Introduction to Cognitive Psychology” at Goethe University. Publications highlight her work in Nature Neuroscience , eLife , and Journal of Cognitive Neuroscience , with over 30 peer-reviewed articles. The lab actively engages in conferences (VSS, ECVP) and hosts annual retreats to promote scientific exchange.

Nico Palleitمشاهده پروفایل

پژوهشگر

• MIMO Communication Systems
• Channel Estimation
• Signal Processing
• +۳ مورد دیگر

Dr.-Ing. Nico Palleit is affiliated with the University of Rostock's Institute of Communications Engineering, part of the Faculty of Computer Science and Electrical Engineering. His research focuses on MIMO (Multiple-Input Multiple-Output) systems, channel estimation, and prediction techniques to enhance spectral efficiency. He holds a PhD titled Channel Prediction in Multi-Antenna Systems (2011) and has contributed to advancements in MIMO channel analysis, including frequency/time prediction and interference management. Research Interests: Nico's work addresses challenges in modern radio transmission systems, emphasizing the development of robust channel estimation strategies. Key areas include MIMO channel modeling, non-line-of-sight (NLOS) positioning, and optimizing transmitter-side channel state information. His research bridges theoretical frameworks with practical implementations in wireless communication systems. Publications Overview: His 15+ publications (2006–2012) span topics like MIMO channel prediction, antenna array design, and interference channel optimization. Recent work emphasizes frequency/time-domain channel prediction and power allocation strategies for maximizing system capacity. These contributions highlight interdisciplinary approaches combining signal processing with electrical engineering principles. Affiliations & Labs: As part of the Radio Communication Research Group, he collaborates on projects within the Institute's advanced wireless communication initiatives. His work supports next-generation radio systems through innovative solutions for MIMO-FDD and OFDM-based architectures.

Peter Tillmannمشاهده پروفایل

استاد

• Monetary Policy
• Empirical Macroeconomics
• Financial Markets
• +۳ مورد دیگر

Professor Dr. Peter Tillmann is a Research Professor at the Halle Institute for Economic Research (IWH) since June 2012 and Professor of Monetary Economics at Justus-Liebig-University Giessen. His work focuses on monetary policy , empirical macroeconomics , and financial markets , with a particular emphasis on policy communication, geopolitical impacts, and supply chain dynamics. Current affiliations: Halle Institute for Economic Research (IWH), University Giessen Research themes: Monetary policy transmission, fiscal-political discourse, geopolitical risk, supply chain economics Key collaborations: Albina Latifi, Viktoriia Naboka-Krell, David Finck, Sinem Kandemir Media coverage: Financial Times, Reuters, FAZ, Süddeutsche Zeitung Recent publications examine the emotional dimensions of monetary policy , geopolitical tensions in corporate boardrooms , and asymmetric inflation responses to global shocks . His work bridges theoretical insights with empirical analysis across diverse economic contexts. Contact: peter.tillmann@wirtschaft.uni-giessen.de | Affiliations: Justus-Liebig-University Giessen , IMFS Frankfurt , IWH Halle

Alexander Steenمشاهده پروفایل

استادیار

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +۷ مورد دیگر

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.