جست‌وجوی استاد و پژوهشگر

Mariana Llanosمشاهده پروفایل

استاد

• Democratic Institutions
• Latin American Politics
• Comparative Politics
• +۳ مورد دیگر

Prof. Mariana Llanos is an extraordinary Professor for Democratic Institutions in the Global South at the University of Erfurt's Willy Brandt School of Public Policy and a Lead Research Fellow at the German Institute for Global and Area Studies (GIGA). She holds a D.Phil. from the University of Oxford. Her research focuses on Latin American political institutions, presidentialism, and democratic accountability. Llanos has published widely in journals like Government & Opposition and Democratization , and co-edited the open-access volume Latin America in Times of Turbulence . She was awarded the APSA Jewell-Loewenberg Prize (2022) and the APSA Founders Award (2015). Her research explores presidential impeachment, court-executive relations, and the personalization of power. She supervises PhD students Jayane Maia, Eduardo Tamaki Ryo, and Alina Ripplinger. Llanos teaches courses on autocratization in the Global South and democratic institutions. She co-edits the Journal of Politics in Latin America and led GIGA’s Research Program on Accountability and Participation until 2022. Key contributions include analysis of term limits in Latin America and sub-Saharan Africa, the impact of the pandemic on court-executive dynamics, and legislative oversight mechanisms. Her work bridges comparative politics with institutional analysis, emphasizing democratic resilience in challenging contexts.

Peter Schossigمشاهده پروفایل

مدرس

• Thermal Energy Storage
• Solar Energy
• Energy Efficiency in Buildings
• +۳ مورد دیگر

Prof. Dr. Peter Schossig is Director of the Division 'Heat and Buildings' at Fraunhofer Institute for Solar Energy Systems ISE in Freiburg. Since 2016, he has been a Lecturer at the University of Freiburg's Department of Sustainable Systems Engineering. He chairs the Scientific Committee of the International Renewable Energy Storage Conference (IRES), organized by EUROSOLAR. His research focuses on thermal energy storage, solar energy integration, and energy-efficient building systems. Key roles include managing over 250 employees in thermal systems and buildings divisions, leading major projects like Reallabor (heat pump living labs) and LC150 (low-charge heat pumps). Education: PhD in Architecture (2015), Karlsruhe Institute of Technology (KIT), thesis on micro-encapsulated phase change materials. Physics diploma (1998), University of Freiburg. Research Interests: Thermal energy storage systems and materials (PCMs, adsorption). Heat pumps, solar cooling, and renewable energy integration in buildings. Low-exergy heating concepts and sustainable building design. Notable Projects: Leading 'HArVest' for adsorption module development. Co-authoring over 150 publications on thermal systems and sustainability. Serving as external examiner for doctoral programs at Universities of Lleida, Warwick, ETH Zurich, etc. Labs/Teams: Fraunhofer ISE divisions under his leadership include 'Energy Efficient Buildings', 'Heating and Cooling Technologies', and 'High Temperature Solar Thermal' groups, with accredited testing facilities for thermal systems.

• Computational Social Science
• Natural Language Processing
• Human-Computer Interaction
• +۳ مورد دیگر

Cristian Danescu-Niculescu-Mizil is an Associate Professor in the Department of Computer Science at Cornell University's College of Engineering, where he leads research at the intersection of computational social science and human-computer interaction. His work examines how language shapes and reflects social dynamics in digital environments, with applications for platform design and community health. His research focuses on computational social science , natural language processing , and human-computer interaction , particularly analyzing online discourse evolution, social influence mechanisms, and community dynamics. Key methodologies include large-scale data analysis, machine learning, and longitudinal modeling of language behavior across platforms like Reddit, Twitter, and Wikipedia. Analysis of his recent publications reveals strong trends in cross-platform misinformation tracking , AI-driven content moderation , and linguistic adaptation in support communities . His work consistently bridges technical NLP advances with sociological insights, emphasizing ethical implications and real-world interventions for healthier online ecosystems. Scientific recognition includes: NSF CAREER Award for foundational work in computational social science Multiple industry research awards from Google and Facebook ACM SIGCHI Best Paper Award for community health research He actively mentors doctoral students in computational social science, with several advisees now faculty at top institutions. His research is supported by NSF grants focused on social dynamics modeling and NLP for community health, often collaborating with social scientists and industry partners. Current projects investigate AI moderation systems and longitudinal language evolution in online communities through the Digital Discourse Lab .

• Database Systems
• Distributed Computing
• Cloud Computing
• +۲ مورد دیگر

Bettina Kemme is a faculty member at McGill University in Montreal, Canada. Her research focuses on database systems , distributed computing , and cloud data management . She has made significant contributions to database replication, consistency models, and middleware frameworks for scalable applications. Research Themes : Database replication, distributed systems, cloud computing, and software engineering. Notable Collaborations : Jörg Kienzle, Joseph Vinish D'silva, Yunjia Zheng, and Marta Patiño-Martínez. Publications span critical areas such as graph database view management, transactional recovery in key-value stores, and latency-aware publish/subscribe systems. Her work is published in venues like VLDB , ICDE , Middleware , and SRDS .

Alexandra Kirschمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Alexandra Kirsch is an Assistant Professor in the Media Informatics Department at the University of Tübingen's Faculty of Informatics. She held the Carl von Linde Junior Fellowship at the Technical University of Munich (TUM) Institute for Advanced Study (TUM-IAS) from 2010. Previously, she was a senior research scientist at TUM's Intelligent Autonomous Systems Group and led the independent Junior Research Group “Planning for Adaptive Robot Assistance” within the Excellence Cluster CoTeSys (Cognition for Technical Systems). Education: Diploma in Computer Science from TUM, 2003 Doctoral degree from TUM, completed between 2003-2007 Research Interests: Kirsch focuses on developing control mechanisms for autonomous robots using artificial intelligence, aiming to create systems that collaborate closely and transparently with humans. Her work emphasizes models of world dynamics, robot action effects, and human behavior. She created the Robot Learning Language (RoLL) to automate model acquisition and update processes during robot operations. Collaborations with psychologists and neuroscientists explore joint human-robot planning tasks and model development for seamless interaction. Scientific Awards: Member of the Bayerische Akademie der Wissenschaften Förderkolleg (2012) Award by Comet Computer GmbH for excellent graduation results (2003) Advising & Grants: Managed interdisciplinary research projects during her junior fellowship at TUM. Previously worked as a management consultant at Booz & Co., 2007-2008. Her grants include the Carl von Linde Fellowship and support for the Junior Research Group. Labs/Teams: Active in the Planning for Adaptive Robot Assistance group (CoTeSys) and collaborates with the Cognitive Technology focus group at TUM-IAS. Engages in cross-disciplinary teams involving neuroscience and psychology for human-robot interaction studies.

• Complex Systems Modeling
• Computational Mathematics
• Applied Mathematics
• +۷ مورد دیگر

Yannis Kevrekidis is a Professor at Princeton University with a distinguished career in computational mathematics and chemical engineering. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich (TUM-IAS) and has held visiting positions at institutions like the Zuse Institute Berlin and Caltech. Education : National Technical University of Athens (Chemical Engineering) University of Minnesota (PhD in dynamical systems) Research Interests : Equation-Free and Variable-Free Modeling Complex Systems Dynamics Multiscale Computation Integration of Machine Learning with Scientific Computing Pattern Formation & Instability Analysis Key Article Trends : Advanced data-driven modeling of dynamical systems Manifold learning for reaction coordinates Projective integration methods Coarse-grained modeling across disciplines Applications in epidemiology, neuroscience, and fluid dynamics Scientific Awards : Guggenheim Fellowship Humboldt Research Award Computing in Chemical Engineering Award (AIChE) Bodossaki Academic Award Allan P. Colburn Award Collaborations : Extensive international collaborations with institutions in Germany, Austria, and the UK Key role in the Complex Systems Modeling and Computation focus group at TUM-IAS

Jianbei Huangمشاهده پروفایل

پژوهشگر ارشد

• Biogeochemistry
• Ecosystem Dynamics
• Climate Change
• +۳ مورد دیگر

Dr. Jianbei Huang is a Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, within the Department of Biogeochemical Processes (BGP). His research focuses on understanding mechanisms driving plant-soil carbon cycling, particularly in dryland ecosystems and plant allocation strategies. Key areas include how environmental stresses like drought affect carbon partitioning, tree defense mechanisms, and ecosystem resilience. His work integrates field experiments, isotopic labeling (e.g., 13C, 14C), and advanced analytical techniques (e.g., LC/GC-MS, PTR-MS) to study carbon dynamics, secondary metabolites, and BVOC emissions. Collaborations with Prof. Susan Trumbore and Prof. Sönke Zaehle highlight interdisciplinary approaches to model ecosystem responses under climate change. Research themes emphasize trade-offs between growth, carbon storage, and defense in trees, as well as the impact of extreme climate events on vegetation and soil carbon. Current opportunities include postdoc and PhD positions on dryland forest ecology and carbon-water relations in changing climates. Affiliations: Max Planck Institute for Biogeochemistry (Jena, Germany) Labs/Teams: Dryland Ecosystem Processes Group, Plant Allocation Research Notable projects include investigating Mediterranean forest responses to drought, carbon storage prioritization in spruce trees, and modeling tree defense against bark beetles in drying environments.

• Aquaculture
• Integrated Multitrophic Aquaculture (IMTA)
• Marine Biology
• +۳ مورد دیگر

Dr. Matthew James Slater is the Head of the Aquaculture Research Group at the Alfred Wegener Institute, focusing on sustainable marine bioeconomy. His work emphasizes integrated multitrophic aquaculture (IMTA), holothurian ecology, and economic development through aquaculture. He leads applied research with industry partners to develop sustainable feed solutions and improve aquaculture practices. Research interests include optimizing feed ingredients from by-products (e.g., black soldier fly larvae, shrimp processing remains) and exploring the ecological roles of sea cucumbers. He investigates the effects of environmental factors (soundscapes, light, temperature) on aquatic species and promotes circular economy principles in aquaculture. Key contributions span over 60 peer-reviewed publications, with recent work on microplastic contamination in fish and the economic value of small-scale fisheries. His research integrates interdisciplinary approaches to address global challenges in aquaculture sustainability and food security. Contact: matthew.james.slater@awi.de | +49(471)4831-2727 | Alfred Wegener Institute, Bussestraße 27, 27570 Bremerhaven

• Biometrics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Marina L. Gavrilova is a Professor at the University of Calgary, Canada. Her research focuses on biometric systems, computer vision, and machine learning with an emphasis on multimodal recognition and security applications. She has authored numerous publications in top journals and conferences, contributing to advancements in fields like emotion-aware de-identification, generative adversarial networks, and ethical AI frameworks in healthcare. Her work spans social behavioral biometrics, gait recognition, masked face recognition, and aesthetic-based person identification. Key contributions include frameworks for ethical AI in care systems, fusion algorithms for multi-biometric systems, and innovations in visual and audio signal processing. Collaborations with experts like Osvaldo Gervasi, Jon G. Rokne, and Padma Polash Paul highlight her interdisciplinary approach. Publications emphasize practical applications such as privacy-preserved biometrics, emotion detection from social media, and adaptive systems for template aging. Despite no explicit mention of grants or labs, her extensive co-author network and frequent citations indicate significant academic influence.

Wolfgang Stingمشاهده پروفایل

استاد

• Theatre Pedagogy
• Performance Studies
• Cultural Education
• +۳ مورد دیگر

Prof. Wolfgang Sting is a Professor of Theater Pedagogy/Didactics of Performing Arts at the University of Hamburg's Faculty of Education. He holds a position in the Department of Didactics of Linguistic and Aesthetic Subjects (EW 4). His career includes roles as Master's Program Director for Performance Studies and guest professorships internationally. Sting has led major research projects funded by Volkswagen Foundation, Körber Foundation, and others, focusing on intercultural theatre, performative education, and uncertainty in teaching. Education: Pädagogik, Philosophie, Psychologie, Theatre Studies (Bielefeld, Eugene, München) Habilitation: Volkswagen Foundation-funded project on Theatre Pedagogy (2000) Research focuses on Theatre Pedagogy's interplay with cultural education, intercultural practices, and performative methodologies. His projects like TUSCH and TheaterSprachCamp integrate theatre into school curricula. Recent work explores irritation as a pedagogical tool in performance-based teaching. Key awards include the 2025 ASSITEJ Prize for commitment to youth performing arts and the 2020 Hamburger Lehrpreis. He advises several scholarly boards including the journal Zeitschrift für Theaterpädagogik. Advisory roles include leading Performance Studies programs and supervising over 20 PhD students. Notable students include Alina Gregor (2023) and Virginia Thielicke (2015). Research projects span 25 years with ongoing work in Hamburg's TheaterSprachCamp initiative. Labs/Teams: Core contributor to the University's Theatre Education Lab, co-founder of the interfaculty Performance Studies program, and collaborator on the Theater in Schulen network.

• 5G/6G Networking
• Network Slicing
• Intent-Based Networking
• +۵ مورد دیگر

Adlen Ksentini is a Professor at EURECOM, a leading graduate school and research center in Sophia Antipolis, France, specializing in digital science and communication systems. His extensive research focuses on next-generation mobile networks (5G/6G), network management, and the integration of artificial intelligence with telecommunications infrastructure. Dr. Ksentini actively contributes to major EU research initiatives including 6G-BRICKS and AC3, serving as a key researcher and project leader in the development of future network architectures. Dr. Ksentini's research interests center around network slicing, intent-based networking, edge computing, and the application of machine learning to network management problems. His work bridges theoretical advancements with practical implementations in 5G/6G systems, with particular emphasis on zero-touch network management, energy efficiency optimization, quality of service assurance, and the integration of large language models with network operations. His research has significantly contributed to the development of O-RAN (Open Radio Access Network) frameworks and the evolution of network automation. His recent publication trends reveal a strategic shift toward AI-native network architectures, with increasing focus on integrating large language models (LLMs) with network management systems. His work demonstrates a clear progression from traditional network management approaches to more autonomous, AI-powered systems capable of intent-based configuration, self-optimization, and predictive maintenance. The publications show strong emphasis on practical implementations within the 6G research ecosystem, addressing critical challenges in network slicing, resource allocation, and energy efficiency. As a research supervisor, Dr. Ksentini mentors several PhD students including Abdelkader Mekrache, Karim Boutiba, Bouziane Brik, and Houda Hafi, who frequently appear as co-authors on his publications. His research is primarily funded through major EU research projects such as 6G-BRICKS (Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies) and AC3 (which focuses on Cloud Edge Continuum). Dr. Ksentini is actively involved with the 6G-BRICKS project consortium and the AC3 project team, where he contributes to developing next-generation network architectures that integrate communication, computing, and sensing capabilities. His work within these projects focuses on creating reusable testbed infrastructures and addressing security and trust management challenges in the cloud-edge continuum.

• Machine Learning
• Bioinformatics
• Medical Imaging
• +۵ مورد دیگر

Paul J. Kennedy is a Professor at the University of Technology Sydney's Centre for Artificial Intelligence. He holds a PhD from the same institution (1999). His research focuses on machine learning applications in healthcare, bioinformatics, medical imaging, and data mining. Key areas include developing algorithms for genomic data analysis, healthcare pathway modeling, and edge-cloud frameworks for omics data. Education: PhD in Artificial Intelligence (1999, UTS). Research interests span machine learning, health informatics, and data compression. Notable work includes studies on administrative health records, lung nodule detection, and virtual reality-based cancer cohort analysis. He has co-authored over 100 publications across journals like BMC Bioinformatics, IEEE Transactions, and Artificial Intelligence in Medicine. Advising: Collaborates extensively with students/researchers but no explicit student list provided. Grants and labs: Active in interdisciplinary projects involving medical and computational teams, though specific grants are not detailed here.

• Machine Learning
• Data Science
• Social Sciences
• +۷ مورد دیگر

Prof. Dr. Markus Strohmaier holds the Chair of Data Science in Economics and Social Sciences at the University of Mannheim's Business School. His research focuses on applying machine learning and data science to understand socio-economic systems and human behavior, leveraging text, relational, and emerging data types. He teaches graduate courses and supervises theses in these areas. Research interests include algorithmic fairness, behavioral analysis via computational methods, and the societal implications of AI. Notable work addresses demographic representativeness in large language models, bias mitigation in rankings, and gender gaps in blockchain adoption. His team is located at L15, 3rd floor – Room 307 in Mannheim, adjacent to the central station. Collaborations span interdisciplinary topics like social media analysis, network dynamics, and computational social science. Key contributions include developing benchmarks for neural network similarity (Resi) and frameworks for measuring algorithmic fairness perceptions (FairCeptron). Research often bridges technical innovation with societal impact, addressing ethical challenges in AI and data-driven decision-making.

Stephan Raveمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Scientific Computing
• Machine Learning
• +۴ مورد دیگر

Dr. Stephan Rave is a Researcher in the Institute for Analysis and Numerics at the University of Münster. He is affiliated with the Applied Mathematics Münster cluster and serves as an Investigator in Mathematics Münster. His work focuses on numerical analysis, scientific computing, and machine learning, with a strong emphasis on model reduction techniques for complex systems. Education : PhD in Mathematics (2012), University of Münster, thesis on finitely summable K-homology. Master's and Bachelor's degrees in Mathematics from the University of Münster. Research Interests : Dr. Rave specializes in model order reduction (MOR) methods, including reduced basis techniques, localized orthogonal decomposition (LOD), and nonlinear approximation strategies. His work addresses challenges in multiscale modeling, domain decomposition, and parametrized partial differential equations. He also develops open-source software tools like pyMOR for MOR and contributes to initiatives like the MaRDI (Mathematical Research Data Initiative) to enhance interoperability in scientific computing. Projects : Key initiatives include the MaRDI project (2021–2026), EXC 2044 Cluster of Excellence (Geometry-based modeling), and MULTIBAT (lithium-ion battery simulation). His research bridges theoretical developments with practical applications in battery modeling, electrochemistry, and computational fluid dynamics. Grants & Awards : Funded by DFG, the German Federal Ministry of Research, and internal university grants, his work addresses strategic areas like sustainable research software and energy storage systems. He leads projects on distributed model reduction and communication-avoiding algorithms. Teaching : Dr. Rave teaches advanced numerical methods courses, including Model Order Reduction, Numerical Methods for PDEs, and Python-based computational labs. He co-organizes seminars and workshops on MOR and scientific software engineering.

Paul Repgenمشاهده پروفایل

پژوهشگر

• Ultrafast Laser Technology
• Fiber Optics
• Nonlinear Optics
• +۳ مورد دیگر

Paul Repgen is a Researcher in the Department of Nonlinearity Engineering at Ruhr University Bochum's Faculty of Electrical Engineering and Information Technology. His research focuses on ultrafast laser systems, fiber optics, and nonlinear amplification techniques, with a particular emphasis on high-repetition-rate pulse generation and environmental stability of laser systems. He collaborates closely with Prof. Dr. Ömer Ilday and contributes to advancing applications in industrial laser technology and photonics. His work integrates theoretical and experimental approaches to optimize laser performance, including harmonic mode-locking mechanisms and pulse stabilization strategies inspired by Brownian particle dynamics. Key contributions include record GHz repetition rate systems in burst mode and high-energy pulse generation through controlled Kerr nonlinearity. Paul Repgen's research has led to innovations in all-fiber laser oscillators, Mamyshev-based regenerators, and thulium-doped fiber systems, demonstrating exceptional stability and power scalability. His articles reflect a strong focus on advancing ultrafast laser technology for applications in materials processing, telecommunications, and fundamental optics research.