جست‌وجوی استاد و پژوهشگر

Thamy Pogrebinschiمشاهده پروفایل

پژوهشگر

• Democratic Innovations
• Citizen Participation
• Digital Technology in Democracy
• +۴ مورد دیگر

Thamy Pogrebinschi is a senior researcher at the WZB Berlin Social Science Center and faculty member at the Berlin Graduate School of Social Sciences (BGSS) of Humboldt University Berlin, where she supervises PhD students. Her academic affiliations include the Center for Civil Society Research at WZB and multiple visiting positions at Oxford University (2022-2023), Harvard Kennedy School (2017-2018), LUISS University Rome (2015), and Goethe University Frankfurt (2013-2014). Her research centers on democratic innovations and new forms of citizen participation in Latin America, with growing focus on digital technology's impact on civil society and collective intelligence. She pioneered the LATINNO project (2015-2021), creating the largest database of democratic innovations across 18 Latin American countries, cataloging 3,600 cases involving deliberation, citizen representation, and digital engagement. Current work examines civil society responses to disinformation in polarized contexts and collective intelligence in endangered democracies. Her 2023 monograph Innovating Democracy? The Means and Ends of Citizen Participation in Latin America (Cambridge University Press) presents the first large-N cross-country study of democratic innovations, introducing a comprehensive typology. Research appears in Comparative Politics , European Journal of Political Research , and Critical Policy Studies across four languages. 50+1 Influential Researchers Whose Work Could Help Shape 21st Century Politicians (Apolitical Foundation, 2022) As principal investigator of LATINNO (funded by Open Society Foundations), she led a 30+ member team analyzing democratic innovations. Current projects on disinformation combat receive institutional support through WZB's Center for Civil Society Research. She advises PhD candidates at BGSS while maintaining active collaborations with Latin American civil society organizations. Her laboratory comprises the LATINNO network and current disinformation research consortium, coordinating researchers across Brazil, Colombia, Mexico, and Peru to analyze digital threats to democracy and develop civil society countermeasures through collective intelligence frameworks.

Torsten Johnمشاهده پروفایل

استادیار

• Biophysical Chemistry
• Computational Chemistry
• Biomolecular Self-Assembly
• +۴ مورد دیگر

Torsten John is an Assistant Professor of Physical Chemistry at the School of Science, Constructor University Bremen gGmbH, Germany. His research bridges biophysical chemistry and computational chemistry to engineer biomolecular systems for biomedical applications. PhD in Chemistry (2020) from Leipzig University (summa cum laude) Postdoctoral experience at Max Planck Institute, MIT, and Leibniz Institute of Surface Engineering Research focuses on biomolecular self-assembly and membrane interactions , with implications for antimicrobial strategies , nanomedicine , and neurodegenerative diseases . Articles show interdisciplinary work combining experimental and theoretical approaches . Publications include high-impact journals like Advanced Functional Materials and Nucleic Acids Research . His group develops bionanomaterials using peptide nanofibrils and DNA origami, with applications in viral particle isolation and exciton transport . Collaborations span institutions in Germany, USA, and Australia. Teaching includes Physical Chemistry (CO-440) and Physical Chemistry Lab (CO-446-B) .

Claudia Ritziمشاهده پروفایل

استاد

• Contemporary Democratic Theory
• Post-Democracy
• Democracy and Digitality
• +۲ مورد دیگر

Claudia Ritzi is Professor of Political Theory and History of Ideas at the University of Trier. She serves as deputy chair of the German Political Science Association (DVPW) and as Senate Commissioner for Protection against Sexual Harassment at Trier University since 2021. Since April 2023, she has been managing director of the Department of Political Science. Research Focus : Contemporary democratic theory, post-democracy, digital public spheres, participation research, and 21st-century democratic governance. Her work examines the structural transformation of public spheres under digitalization, legitimacy in post-democratic systems, and the interplay between online/offline political participation. Key Functions : Member of DVPW Executive Board (2018-2024) Co-editor of "Politics in the Digital Society" series Reviewer for political science journals and funding agencies (DFG, Humboldt Foundation)

• Digital Journalism
• Media Studies
• Digital Cultures
• +۴ مورد دیگر

Maren Schuster is a Lecturer and academic coordinator at the Department of Media and Communication Studies within the Faculty of Philosophy II at Martin Luther University Halle-Wittenberg (MLU). Since 2013, she has led the Master's Program in Multimedia and Authorship , focusing on digital journalism and interdisciplinary research. Her work emphasizes applying digital methods to explore contemporary societal issues through media practices, with a particular interest in representation, diversity, and media transformation. She holds degrees in German, Psychology, Comparative Arts (University of Leipzig), and Multimedia and Authorship (MLU). Her research spans digital journalism, media format development, and digital cultures. She has coordinated Erasmus+ student exchanges and promotes gender equality within her faculty. Research Highlights : Interdisciplinary projects with anthropology, law, and medicine departments Focus on data-driven journalism, disinformation, and media ethics Initiated partnerships with academia, cultural institutions, and media outlets Grants and Projects : Secured €260,000 for the Multimedia and Authorship program (2013–2017) Project collaborations with organizations like Umgeodat GmbH and the Federal Cultural Foundation Developed innovative media projects such as Urban Climate Halle and Diagnose: Unsichtbar Awards : Recipient of the DJV Young Journalists Award (2016) 1st Place in VDMA Hackdays Ideas Competition (2017) Teaching and Outreach : She has taught at HTWK Leipzig, FAM, and Merseburg University of Applied Sciences. Her courses integrate practical media projects, such as the Digital Talks series and workshops on algorithmic governance. She also coordinates student exchanges through Erasmus+.

Elena Mäder-Baumdickerمشاهده پروفایل

استاد

• Differential Geometry
• Geometric Variational Problems
• Minimal Surfaces
• +۴ مورد دیگر

Prof. Dr. Elena Mäder-Baumdicker holds a Tenure Track position in Geometry at TU Darmstadt since 2019. She was previously a postdoc at KIT and conducted research at Princeton University. Currently, she is organizing conferences such as the BIRS workshop on Non-linear Critical Point Theory and the Women in Geometry 3 conference. Her research focuses on global and local questions in differential geometry, particularly geometric variational problems involving minimal surfaces and Willmore surfaces. She has supervised two active PhD students (Nils Neumann and Jona Seidel), along with several Master’s and Bachelor’s theses. She is a member of the SPP 2026 'Geometry at infinity' and actively engages in academic outreach, including the Meet&Math initiative and public lectures for school students. Her teaching includes courses on differential geometry and seminars on geometric analysis. Education: PhD in Mathematics (2014, Freiburg), Diploma in Mathematics (2010, Freiburg) Research Interests: Minimal Surfaces, Willmore Surfaces, Geometric Flows (e.g., Mean Curvature Flow), Alexandrov Spaces, Variational Problems in Geometry Recent Conferences: Co-organizer of the Ernst Kuwert 60th Birthday Conference (2021), Geometric Analysis meets Geometric Topology (2019), and multiple BIRS events (2023–2025) Grants & Fellowships: DFG-funded research position (2017–2019), Leopoldina Fellowship (2018–2019) Labs/Teams: Leads the 'Variational Problems in Geometry' team at Women in Geometry 3, co-runs the RMU Seminar 'Solution Concepts in PDEs' Her work emphasizes the interplay between geometric analysis and topology, with a focus on singularities in geometric flows and applications of variational methods. She actively participates in promoting gender equality in academia through her role in the AK-Gleichstellung committee.

Sandra Diaz Pierمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre , Germany. Specializing in computational neuroscience , high performance computing (HPC) , and machine learning , she bridges neuroscience and advanced computational methods through her research. Education: B.Sc. in Electronic Systems Engineering, Mexico M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico Second M.Sc. in Electrical Engineering, Ontario, Canada Ph.D. in Computer Science, Germany (2021) Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP) , Virtual Brain Cloud , and EBRAINS 2.0 , emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator , The Virtual Brain , and L2L , enabling efficient parameter exploration and multiscale co-simulation frameworks. The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling . These articles reflect her expertise in integrating machine learning , multi-scale simulation , and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks. She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package , while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.

• Optimization under Uncertainty
• Robust Optimization
• Combinatorial Optimization
• +۷ مورد دیگر

Christina Büsing is a Professor in Combinatorial Optimization at RWTH Aachen University. She leads the Teaching and Research Group on Combinatorial Optimization and is a principal investigator in the UnRAVeL Graduate College. Her research focuses on optimization under uncertainty , robust optimization , and combinatorial optimization , with applications to healthcare , energy systems , and transportation logistics . Alumni of TU Berlin, WWU Münster, and Universidad Complutense de Madrid Junior Professor for Robust Planning in Medical Care at RWTH Aachen (2016-2021) Her methodological expertise spans exact algorithms , heuristics , and complexity theory , with recent publications addressing network flows, facility location, and healthcare scheduling. She has received awards for teaching excellence and gender equality advocacy. 2022 Brigitte Gilles Award for women in science 2019 FAMOS Award for family-friendly leadership 2018 Best Teaching Award at RWTH Aachen Her work combines theoretical rigor with practical applications in urban railway traffic management , solar power systems , and agent-based pandemic response modeling .

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +۳ مورد دیگر

Prof. Ferdinanda Ponci is a Professor at RWTH Aachen University, leading the Department of Monitoring and Distributed Control for Energy Systems. Her work focuses on smart grid technologies, renewable energy integration, and control systems for modern power networks. She actively contributes to advancing grid resilience, EV charging infrastructure, and cybersecurity in energy systems. Key research interests include hybrid AC-DC grids, distributed energy resources coordination, and application of AI in grid management. She has pioneered frameworks like datafev for EV charging management and SMU platforms for synchronized measurements. Her interdisciplinary approach also addresses diversity in engineering and societal impacts of energy systems. Prof. Ponci’s laboratory activities involve hardware-in-the-loop testing, blockchain-based grid solutions, and development of educational toolboxes for emerging technologies. She collaborates on projects such as submarine transmission systems and grid interoperability testing, contributing to both academic and industrial advancements in power systems engineering.

Karin Nachbagauerمشاهده پروفایل

استاد

• Multibody System Dynamics
• Numerical Mathematics
• Inverse Dynamics
• +۳ مورد دیگر

Karin Nachbagauer is a Professor of Applied Mathematics at the University of Applied Sciences Upper Austria, affiliated with the Faculty for Engineering's Mechanical Engineering Department. She holds a Hans Fischer Fellowship at the TUM Institute for Advanced Study (since 2020). Her research focuses on multibody system dynamics, numerical mathematics, optimal control, and inverse dynamics, with applications in mechanical engineering and robotics. She earned her PhD in Engineering Sciences (2012) and Diploma in Industrial Mathematics (2009) from Johannes Kepler University Linz. Notable awards include the 2020 Best Paper Award for optimal control research and 2019 Excellence in Teaching Award. Her work emphasizes adjoint gradient methods for optimization problems, parameter identification in multibody systems, and time-optimal control applications. Current projects include the VRoboCoop initiative for human-robot collaboration and IOMMS for innovative optimization in multibody systems. Publications span journals like Journal of Computational and Nonlinear Dynamics and Multibody System Dynamics , with over 80 peer-reviewed articles. She actively participates in international conferences and serves on editorial boards.

Anja Schlömerkemperمشاهده پروفایل

استاد

• Mathematical Analysis
• Partial Differential Equations
• Calculus of Variations
• +۳ مورد دیگر

Prof. Anja Schlömerkemper holds the Chair of Mathematics in the Sciences at the University of Würzburg since 2011 and serves as Vice President responsible for Equal Opportunities, Career Planning, and Sustainability. She earned her PhD in Mathematics from the University of Leipzig (2002) and held postdoctoral positions at institutions including the University of Oxford and the Max Planck Institute for Mathematics in the Sciences. Her research focuses on mathematical analysis, particularly partial differential equations and calculus of variations, with applications to materials science and physics. She investigates mathematical methods to model material behavior at micro and macro scales, including elastic and magnetic materials. Her work bridges theoretical analysis and practical applications in continuum mechanics. She has contributed to fluid-rigid body interactions, magnetoelastic materials, and phase transitions. As Vice President, she promotes gender equality, supports early-career researchers, and advances sustainability across the university's research, teaching, and administration. Education: PhD in Mathematics (Leipzig, 2002) and Diploma in Physics (Göttingen, 1998). Professional Experience includes roles at the Universities of Bonn, Erlangen-Nuremberg, and Stuttgart, as well as the Max Planck Institute. Research interests also encompass homogenization theory, dislocation dynamics, and stochastic discrete systems. She leads interdisciplinary projects, collaborates internationally, and advises on academic policies.

• Signal Processing
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Professor Danilo P. Mandic, affiliated with Imperial College London, UK, is a leading researcher in signal processing, machine learning, and biomedical signal analysis. His work spans quaternion algebra, tensor networks, and neural networks for real-world applications. 2025: Published 11+ works on EEG/PPG analysis, quantum learning, and tensor-based LLM compression 2024: Active in interpretable transformers, graph learning for financial data, and hearable devices Research focuses on hypercomplex signal processing, graph neural networks, and medical AI applications. Recent work explores quaternion calculus for signal processing, tensor network structures for LLMs, and hearable device optimization. Key publication trends include: 2025 emphasis on quantum-aware learning, 2024 graph-based time series clustering, and 2023 foundational work on graph CNNs and matched filtering approaches. Collaborates extensively with Dongpo Xu, Sayed Pouria Talebi, Clive Cheong Took, and Tobias Reichenbach on projects involving ear-EEG, ECG enhancement, and financial sentiment analysis.

Sangyoung Parkمشاهده پروفایل

استادیار

• Smart Mobility Systems
• Electric Vehicle Battery Management
• Energy Consumption Optimization
• +۳ مورد دیگر

Sangyoung Park is an Assistant Professor of Smart Mobility Systems at the Faculty of Mechanical Engineering and Transport Systems, Technical University of Berlin, and is co-affiliated with the Einstein Center for Digital Future. His research focuses on two main areas: enhancing vehicle safety through digitalization and connectivity, and advancing the electrification of the transport sector with emphasis on electric vehicle battery systems design and management. He leads the Chair of Smart Mobility Systems at TU Berlin, where his team investigates how vehicle connectivity can improve energy efficiency, traffic flow, and safety in autonomous vehicle systems. Dr. Park completed his PhD in Electrical Engineering and Computer Science at Seoul National University in Korea, where he focused on energy management techniques for hybrid energy storage systems in electric vehicles. Before joining TU Berlin in 2018, he conducted postdoctoral research at the Technical University of Munich, working on energy management for smartphones in collaboration with Google and studying battery aging processes. His research interests span smart mobility systems, electric vehicle battery management, energy consumption optimization, vehicle connectivity, and autonomous driving systems. Park's work bridges the gap between design engineers and software engineers, investigating how different energy storage components (fuel cells, supercapacitors, lithium-ion batteries) should be interconnected and managed together for maximum efficiency. His research also addresses the design of charging infrastructure for electric vehicles. Analysis of Dr. Park's recent publications reveals a strong focus on digital twin technology for teleoperated driving, battery management systems for electric vehicles, and vehicle connectivity for improved safety and efficiency. His research increasingly integrates cybersecurity aspects of connected vehicles and explores novel approaches to extend battery lifespan through advanced cell balancing techniques. The interdisciplinary nature of his work connects electrical engineering, computer science, transportation systems, and urban infrastructure planning. Dr. Park supervises multiple doctoral students, including Philipp Kremer, Ongun Türkçüoglu, Kil Young Lee, Maria Claudia Miguel de Priego, Muzaffer Citir, Andrea Reindl, Subhendu Bhadra, and Hueseyin Türkyilmaz. His research is supported by various funding sources including the ECDF grant, DAAD projects (ide3a), and government scholarships. He collaborates with institutions including OTH Regensburg and Siemens Mobility. His laboratory, the Smart Mobility Systems group, focuses on developing system-level approaches for measuring, analyzing, and balancing energy consumption in battery-powered mobile systems. The team investigates how direct communication among autonomous vehicles can enable control scenarios that improve energy efficiency, traffic flow, and safety beyond what human drivers or isolated autonomous vehicles can achieve.

Thorsten Thielمشاهده پروفایل

استاد

• Political Theory
• Digital Policy
• Democracy in the Digital Age
• +۵ مورد دیگر

Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.

Dan Raphaeliمشاهده پروفایل

پژوهشگر

• Trellis Coded Modulation
• Decoding Algorithms
• Turbo Codes
• +۸ مورد دیگر

Dr. Dan Raphaeli is a faculty member at the School of Electrical Engineering within the Iby and Aladar Fleischman Faculty of Engineering at Tel Aviv University. His research focuses on advanced communication systems and signal processing techniques. Trellis Coded Modulation Decoding algorithms and Turbo codes Maximum likelihood equalization analysis Noncoherent detection methods for coded modulation Carrier tracking in mobile communications Multipath fading mitigation Spread spectrum systems and Multiuser CDMA OFDM receiver design Contact: daniraf@tauex.tau.ac.il

Max Willseyمشاهده پروفایل

استادیار

• Program Optimization
• Programming Languages
• Databases
• +۵ مورد دیگر

Max Willsey is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, since 2024. He specializes in program optimization, leveraging techniques from programming languages, databases, and systems to develop robust and accessible compiler frameworks. His research focuses on equality saturation, E-Graphs, and the integration of Datalog with compiler optimizations. He has contributed to advancements in unifying algorithmic approaches, enabling faster and more extensible program analysis. Teaching: CS 164 (Programming Languages and Compilers, Spring 2025), CS 265 (Compiler Optimization, Fall 2024), and CS 294-260 (Declarative Program Analysis and Optimization, Spring 2024). Research Highlights: Development of the egg and egglog projects, co-organizing the EGRAPHS workshop, and leading the EGRAPHS Community for e-graphs researchers. His recent articles highlight trends in unifying traditional hash joins with worst-case optimal joins, applying equality saturation to diverse domains like Datalog and tensor graph optimization, and advancing E-Graphs for program synthesis and formal verification. Scientific Awards: SIGMOD Record Research Highlight, 2024 MIT PL Review Selection, 2024 Distinguished Paper, OOPSLA 2021 and POPL 2021 NSF Graduate Research Fellowship Honorable Mention, 2018 Qualcomm Innovation Fellow, 2019 Service: Committee Member, PLDI 2025, POPL 2025, ASPLOS 2025 Co-organizer, EGRAPHS 2024 and 2023 workshops Interviewer, UC Berkeley Graduate Admissions Committee, 2024