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Tobias BundeView profile

Professor

• International Security
• German Foreign Policy
• Nuclear Deterrence
• +3 more

Prof. Tobias Bunde is a Professor of International Security at the Hertie School and Director of Research and Policy at the Munich Security Conference, serving on its Executive Board. He holds a PhD in Political Science from Freie Universität Berlin, with studies in Germany, France, and the U.S. His research focuses on German foreign/security policy, Western democracy cooperation, international order evolution, and nuclear deterrence. He leads the Stanton Foundation-funded project 'Raising the Nuclear IQ' and co-edits the annual Munich Security Report, pivotal to shaping the conference's agenda. Teaching includes courses like 'Nuclear Weapons in International Politics' and 'War, Peace & Strategy.' His work bridges academic research with policy impact, addressing critical issues such as NATO nuclear posture, post-Ukraine invasion policy shifts, and multipolarity challenges. Key Projects: Stanton Foundation nuclear security hub, Munich Security Index analysis Key Roles: Munich Security Conference leadership, Hertie School faculty Research Themes: German Zeitenwende, transatlantic relations, nuclear strategy

• Automation Technology
• Mechanical Engineering
• Industrial Robotics
• +3 more

Ulf Meyer is a Lecturer at the Department of Mechanical Engineering and Process Technology at the University of Applied Sciences Osnabrück. His research focuses on automation technology, industrial robotics, and energy-efficient manufacturing systems. He leads the Automation Technology Department, emphasizing practical applications in modern production environments. His research interests span automation systems in manufacturing, sensor and control technologies, and digital transformation in industrial processes. Key themes include improving energy efficiency, integrating robotics into production workflows, and leveraging Industry 4.0 principles for smart factories. Ulf Meyer's publications from 2017 to 2022 highlight advancements in automation, emphasizing trends like energy-efficient solutions, digitalization, and the role of robotics in industrial applications. His work bridges theoretical concepts with real-world manufacturing challenges. He currently leads the Automation Technology Department, driving interdisciplinary research and practical innovation in mechanical engineering and process technology.

Wangzhong MuView profile

Senior Lecturer

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +3 more

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

• Cell Biology
• Immunology
• Biophysics
• +3 more

Pablo J. Sáez is a researcher at the University of Hamburg's Medical School, affiliated with the Department of Cell Biology and Immunology. His work focuses on cellular mechanisms of migration, signaling, and structural dynamics in immune and kidney-related cells. He explores processes like dendritic cell migration, podocyte dysfunction in nephropathy, and the role of calcium channels in cellular behavior. His research integrates biophysical and immunological approaches to understand how cell shape, cytoskeletal dynamics, and microenvironment interactions regulate immune responses and disease progression. Notable contributions include studies on membrane blebbing, SPARC-driven tumor progression, and the development of imaging tools for cellular analysis. Key areas of investigation include: cell shape sensing, actomyosin regulation, and the role of septins in immune cell motility. His articles highlight interdisciplinary methods, combining live-cell imaging, molecular biology, and computational modeling to dissect cellular decision-making processes during migration and disease. Scientific achievements include foundational work on exopher-formation in kidney disease and guidelines for functional assays in dendritic cells. His research bridges basic science and clinical applications, aiming to uncover therapeutic targets in immune and renal disorders.

Mitja StadjeView profile

Professor

• Optimal Control Theory
• Risk Management
• Finance
• +7 more

Prof. Mitja Stadje is a Professor at the University of Ulm's Department of Insurance Science. Previously, he served as a tenured Associate Professor at Tilburg University's Department of Econometrics and Operations Research (since November 2014) and held an Assistant Professor position there from 2010. Earlier, he was a Postdoctoral Fellow at Eurandom, Technical University of Eindhoven (2009–2010). Education: PhD in Operations Research and Financial Engineering from Princeton University (May 2009, advised by Prof. Patrick Cheridito), with a Graduate School Fellowship. Master of Arts from Princeton (July 2007). Research focuses on Optimal Control Theory applications in Insurance/Finance, Dynamic Mortality Modelling, Risk Measure Axiomatization, Portfolio Selection in Incomplete Markets, Levy Processes, Optimal Entry/Exit Decisions, and Hedging under Market Impacts. His work bridges theoretical mathematics with practical financial/insurance applications. Publications are accessible via his website . Office: Helmholtzstrasse 20, Room 1.50. Contact via email预约.

• Blockchain Technology
• Business Process Management
• Process Mining
• +3 more

Ingo Weber is a Professor affiliated with Technische Universität München (TU Munich) and Fraunhofer Gesellschaft. His research focuses on blockchain technology, business process management (BPM), and artificial intelligence (AI), with a particular emphasis on integrating these fields. He has held former positions at TU Berlin, CSIRO Data61, and other institutions. Current affiliations: TU Munich and Fraunhofer Gesellschaft Former affiliations: TU Berlin, CSIRO Sydney, University of New South Wales, SAP Research, and University of Massachusetts Amherst Research interests include blockchain applications in business processes, process mining, AI-driven systems, and sustainability-oriented process analysis. His work explores topics such as blockchain scalability, data confidentiality, and cost-efficient process execution on next-generation blockchains like Algorand. He has pioneered frameworks like SOPA for sustainability analysis and FhGenie for confidentiality-preserving AI. Key contributions include over 200 publications in journals like IEEE Access, Future Generation Computer Systems, and ACM Transactions on Management Information Systems. Recent work emphasizes AI-augmented BPM systems and the application of large language models (LLMs) in scientific contexts. Notable projects include blockchain-based process execution engines (e.g., Caterpillar), platform architectures for multi-tenant blockchain systems, and frameworks for evaluating payment channel networks. He has collaborated extensively with industry partners and academic institutions globally.

Fuyuan ZhangView profile

Researcher

• Artificial Intelligence
• Cybersecurity
• Formal Methods
• +7 more

Fuyuan Zhang is a Postdoctoral Researcher at the Max Planck Institute for Software Systems, specializing in advanced software testing methodologies and formal verification techniques. His research focuses on improving the reliability and security of AI systems, quantum computing frameworks, and concurrent systems through innovative testing criteria, adversarial attacks, and compositional reasoning. Key areas of expertise include: Large Language Model (LLM) testing and validation Quantum program analysis and security Adversarial machine learning and neural network robustness Formal verification of concurrent and cyber-physical systems Automated bug detection in complex software systems His work bridges theoretical foundations with practical applications, addressing critical challenges in AI safety, quantum software reliability, and system-wide security certification.

Angela D. FriedericiView profile

Professor

• Cognitive Neuroscience
• Neuroscience
• Language Processing
• +4 more

Professor Angela D. Friederici is a leading cognitive neuroscientist and Director of the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. She holds honorary professorships at the University of Leipzig, University of Potsdam, and Charité University Medicine Berlin. Her work focuses on the neural basis of language processing, syntax, and developmental cognitive neuroscience. Friederici has published over 500 peer-reviewed papers and received numerous accolades, including the APS William James Fellow Award (2023) and the Huttenlocher Award (2021). Education: PhD in Linguistics (1976, University of Bonn), Habilitation in Psychology (1986, Justus Liebig University Giessen). Affiliations: Founding Director of the Max Planck Institute for Human Cognitive and Brain Sciences since 1994. Served as Vice-President of the Max Planck Society (2014–2020). Research Interests: Evolution of language networks, syntax processing, neuroanatomical correlates of language, and developmental trajectories of cognitive abilities. Awards: Includes Leibniz Prize (1997), Wilhelm Wundt Medal (2018), and Gauss Medal (2011). Her recent work explores the neural underpinnings of syntax in humans and primates, with studies on chimpanzee communication and cross-linguistic brain plasticity. Friederici has pioneered methods in neuroimaging and electrophysiology to dissect language networks.

• History of Health in Africa
• Global Health
• Political History
• +3 more

BANHORO Yacouba is an Associate Professor in Contemporary History at the Department of History and Archaeology, Université Joseph Ki-Zerbo (Burkina Faso), affiliated with the Faculty of Humanities. He serves as Director of the Africa Multiple Excellence Pole and previously led the Department of History and Archaeology (2017-2019). His expertise spans African health history, global health governance, political history, and international relations. Education includes a PhD in African History (2002-2005, University of Hamburg, Germany), DEA in African History (2000, Université de Ouagadougou), and MA in History (1991, Université de Ouagadougou). He held a teaching position at secondary level from 1992-2002 before transitioning to academia. Research focuses on colonial-era health systems, HIV/AIDS policy evolution, and the intersection of health governance with socio-political structures. His work analyzes disease narratives in African literature and the impact of global health initiatives on local contexts. Recent publications address pandemic responses (Covid-19 in Africa co-edited volumes) and historical health policy debates. Recipient of the Friedrick Ebert Foundation Fellowship (2002-2005) and Coimbra Group EU Fellowship (2010). Active in academic leadership roles, including directing research initiatives and coordinating interdisciplinary teams. His contributions bridge historical analysis with contemporary public health challenges in Africa.

Paola MengottiView profile

Researcher

• Cognitive Neuroscience
• Neurostimulation
• Neuroimaging
• +2 more

Dr. Paola Mengotti is a Senior Researcher in the Cognitive Neuroscience group (INM-3) at the Research Center Jülich, Germany. Her work focuses on cognitive processes, particularly spatial attention, neurostimulation techniques, and neuropsychological mechanisms. She investigates the interplay between neural networks and behavioral outcomes using advanced methodologies such as neuroimaging (fMRI, EEG) and transcranial magnetic stimulation (TMS). Her research interests include belief updating during attentional tasks, the role of the temporo-parietal junction in cognitive functions, and the neural correlates of food valuation and eating behavior. She also explores motor intention and decision-making processes, with studies on how brain responses modulate trust-repayment behaviors and energy estimation of food items. Mengotti's studies often integrate behavioral experiments with neuroimaging data to uncover mechanisms underlying attentional deployment, conflict resolution, and probabilistic reasoning. Her work highlights the importance of network-based approaches in understanding both typical and pathological cognitive functions, such as in stroke patients and aging populations. Key contributions include identifying neural signatures of belief updating and spatial attention deficits, as well as the impact of body-part specificity in gesture imitation post-stroke. Her research bridges cognitive neuroscience with clinical applications, emphasizing translational outcomes for neuropsychological rehabilitation and neurostimulation therapies.

• Network Science
• Social Influence Modeling
• Control Systems
• +5 more

Chiara Ravazzi is an accomplished researcher at Politecnico di Torino specializing in network science, social influence modeling, and control systems. Her academic career spans over 15 years with consistent high-impact publications in top-tier venues including IEEE journals and conferences. Dr. Ravazzi's research focuses on understanding complex network dynamics with applications spanning social networks, wireless communications, and pandemic modeling. Her work bridges theoretical network analysis with practical implementations, particularly examining how information and influence propagate through networks. She has developed novel methodologies for analyzing social influence, optimizing network resources, and predicting behavioral patterns in complex systems. Analysis of her recent publications (2023-2025) reveals three major research thrusts: (1) Social network dynamics and influence modeling, particularly examining innovation diffusion and popularity mechanisms; (2) Optimization of communication networks with applications to 5G/6G systems; and (3) Network-based approaches to public health challenges like pandemic intervention planning. Her interdisciplinary work demonstrates strong methodological rigor while addressing contemporary real-world problems. Dr. Ravazzi maintains extensive collaborations with leading researchers including Fabrizio Dabbene, Enrico Magli, Paolo Frasca, and Valentina Breschi. Her publication record shows consistent growth in both quantity and impact, with numerous first-author and senior-author contributions across multiple domains. She serves on program committees for major conferences in control systems and network science.

• Blockchain Technology
• Distributed Systems
• Permissioned Blockchains
• +3 more

Artem Barger is a researcher specializing in blockchain technology, distributed systems, and database optimization. With affiliations primarily in blockchain development and academic research, he has contributed extensively to Hyperledger Fabric enhancements and decentralized information systems. Research Interests Optimizing state databases for blockchain platforms Byzantine Fault Tolerance in distributed networks Permissioned blockchain architectures Tokenization of real-world assets AI applications in soft skills evaluation Recent Publications Barger's work focuses on improving blockchain scalability and security through techniques like certification blocks, Patricia Merkle tries, and verifiable randomness. He has also explored tokenization applications in charity and energy sectors.

• Machine Learning
• Computer Science
• Medical Informatics
• +7 more

Yan Li is a researcher with extensive contributions across interdisciplinary domains including Machine Learning , Signal Processing , and Environmental Science . Affiliated with institutions such as the University of Southern Queensland , Hebei University , and Shandong University , Li's work spans applications in Medical Informatics , Remote Sensing , and Operations Research . Recent publications highlight expertise in Deep Learning (e.g., hyperspectral classification, image fusion), Stochastic Modeling (e.g., chemotaxis models), and Federated Learning (e.g., vertical federated fuzzy clustering). Collaborative projects include 3D Reconstruction , Smart Grid Security , and Landslide Monitoring using satellite data. Li's 2025 work demonstrates a focus on Medical Imaging (segmentation algorithms with dual-frequency decoupling), AI in Education (ChatGPT adoption), and Industrial IoT (GPU-accelerated vessel trajectory visualization). While no explicit academic rank is provided, their prolific publication record suggests a Researcher role.

Philip WotschackView profile

Researcher

• Social Inequality
• Labor Markets
• Digitalization
• +3 more

Dr. Philip Wotschack is Head of the Research Group 'Working with Artificial Intelligence' at the Weizenbaum-Institut for the Networked Society. He has held various academic roles including Researcher at WZB Berlin Social Science Center and the University of Groningen. His research focuses on social inequality, labor markets, digitalization, and algorithmic management. He earned his Ph.D. in Sociology from the University of Groningen (2009). Key research areas include: Impact of AI-driven algorithmic management in workplaces Continuing training practices for low-skilled workers Workplace digitalization and automation Gender and social inequality in training access Recent projects include the EU-funded INCODING project analyzing collective bargaining's role in algorithmic management governance, and experimental studies on human-technology interaction in automated systems. His work integrates institutional theory perspectives with empirical analyses of organizational practices. He has led projects funded by the German Research Foundation and European Commission. Publications span topics like labor market segmentation, workplace automation ethics, and skill development policies. He has authored/co-authored books on work-life balance and labor market institutions.

Holger SondermannView profile

Professor

• Structural Biology
• Microbiology
• Bacterial Infection Biology
• +5 more

Holger Sondermann is a Professor at Christian-Albrechts-University of Kiel and leads the Structural Microbiology group at DESY’s Center for Structural Systems Biology (CSSB). He serves as Scientific Director of CSSB from 2024–2026. His research focuses on bacterial infection biology and fundamental cell biology, particularly mechanisms enabling bacteria to adapt to environmental stresses and form biofilms. He employs structural biology techniques, including modern X-ray sources like PETRA III, to study molecular processes relevant to pathogen control and chronic disease. Academic career highlights include: 2024–2026: Scientific Director, CSSB 2020–present: Professor at Kiel University and Lead Scientist at DESY 2005–2020: Academic roles at Cornell University, including Assistant/Associate/Full Professor PhD (Biochemistry, 2001) and postdoctoral training at UC Berkeley and Rockefeller University Research interests emphasize c-di-GMP signaling pathways, biofilm regulation, and enzymatic mechanisms in bacterial survival. His work bridges structural biology with clinical applications, targeting pathogens linked to chronic infections. Recent publications highlight breakthroughs in biofilm adhesin systems, diribonuclease activity, and malaria parasite invasion mechanisms. Awards and grants are not explicitly listed in the provided text, but his leadership roles and prolific publication record reflect significant recognition in structural microbiology. Labs/Teams: Head of the Structural Microbiology group at DESY’s CSSB, collaborating across disciplines to leverage advanced imaging techniques. Active in developing new radiation sources and methodologies for structural studies.