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Chris VolkmarView profile

Professor

• Electric Space Propulsion
• Electromagnetic Compatibility
• Radio Frequency Ion Thrusters
• +3 more

Prof. Dr. Chris Volkmar is a Professor for Electric Space Propulsion and Electromagnetic Compatibility at the Technical University of Mittelhessen (THM) since October 2019. He serves as Co-Head of the TransMIT EMC Laboratory and leads the Space Electronics Research Group. His institutional affiliations include membership in the Competence Center for Nanotechnology and Photonics (NanoP) and the Research Campus Mittelhessen (FCMH) in the field of space applications, where he serves as Deputy Spokesperson since April 2025. Prof. Volkmar's academic background includes: PhD (2015) from Justus Liebig University Giessen with dissertation on 'Self-consistent numerical 1D/3D hybrid modeling of radio frequency ion thrusters' Master of Science in Electrical Engineering and Information Technology (2012-2014) from THM Graduate Engineer in Information and Communication Technology (2007-2011) from THM Specializing in electric space propulsion systems and electromagnetic compatibility, Prof. Volkmar's research bridges plasma physics with spacecraft engineering. His work focuses on radio frequency ion thrusters, developing innovative measurement techniques and specialized testing facilities including vacuum-compatible reverberation chambers and semi-anechoic chambers for electromagnetic compatibility testing of electric propulsion systems. His expertise spans power electronics for space applications, plasma diagnostics, and spacecraft system integration challenges. Prof. Volkmar's publication record reveals a consistent trajectory from fundamental plasma modeling toward increasingly sophisticated engineering solutions for space applications. His recent work emphasizes system-level integration challenges of electric propulsion systems, with particular attention to electromagnetic compatibility issues that arise when integrating these systems into spacecraft. The research demonstrates strong collaboration between theoretical modeling and practical engineering validation. Ombudsperson for Good Scientific Practice at THM (2023-2027) Deputy Member of the Executive Committee for Young Researchers at THM (2022-2025) Board Member for Instruments (MDPI) journal Guest Editor for Frontiers in Space Technologies research topic 'Advances in Electric Propulsion Systems' Prof. Volkmar actively supervises student research through structured thesis programs at THM, with formal guidelines and LaTeX templates provided for academic work. His research is supported through institutional affiliations with TransMIT GmbH, the Competence Center for Nanotechnology and Photonics, and the Research Campus Mittelhessen. He serves on multiple examination boards and departmental committees, demonstrating significant institutional involvement in academic governance and quality assurance across both THM and joint programs with Justus Liebig University (JLU). As Co-Head of the TransMIT EMC Laboratory and leader of the Space Electronics Research Group, Prof. Volkmar directs specialized testing facilities for electromagnetic compatibility of electric propulsion systems. His team has developed vacuum-compatible reverberation chambers and semi-anechoic chambers specifically designed for spacecraft component validation. The research group maintains strong connections with the German Aerospace Center (DLR) and participates in international conferences including the Electric Rocket Propulsion Society events, contributing to the advancement of electric propulsion technology for space exploration.

Stefan van WaasenView profile

Professor

• Quantum Computing
• Neuromorphic Computing
• Cryogenic CMOS
• +3 more

Prof. Stefan van Waasen serves as Director of the Peter Grünberg Institute's Integrated Computing Architectures division (PGI-4) and holds a Full Professorship in Communication Systems at the University of Duisburg-Essen. His work bridges quantum computing, neuromorphic systems, and cryogenic electronics development. Director, Integrated Computing Architectures (PGI-4) Full Professor, Communication Systems, University of Duisburg-Essen Research Focus: Electronic Systems for Quantum & Neuromorphic Computing Research Interests center on quantum dot electronics, memristor-based architectures, and cryogenic CMOS technology. His group develops scalable control systems for qubits and neuromorphic networks, with particular emphasis on power management and signal integrity at ultra-low temperatures. Publication Trends reveal a technical focus on quantum computing interfaces, neuromorphic hardware, and particle detector systems. His recent work includes co-simulation tools for cryogenic electronics optimization and novel architectures for memristor arrays in machine learning applications. Laboratory Involvement includes leadership at Forschungszentrum Jülich's Peter Grünberg Institute (PGI-4), where his team works on integrated circuits for quantum and neuromorphic computing platforms.

• Economics
• International Economics
• Socio-Technical Systems
• +3 more

Abbas Musa is a research assistant at the University of Bielefeld , affiliated with the Faculty of Economics and the Department of Economics under Prof. Dr. Julian Hinz. He is also associated with the BIGSEM - Bielefeld Graduate School of Economics and Management and the Bielefeld Graduate School in Theoretical Sciences . Research assistant to Prof. Dr. Julian Hinz Member of BIGSEM (Doctoral Candidates) Affiliated with the Socio-Technical World strategic research area His work aligns with interdisciplinary research in socio-technical systems, focusing on capabilities of agents like humans, robots, and AI in complex environments. Collaborations with institutions such as Miele, Bertelsmann, and Honda are part of this research ecosystem.

• Numerical Mathematics
• Data Assimilation
• Hamiltonian Dynamics
• +5 more

Sebastian Reich is a Professor of Numerical Analysis at the University of Potsdam and holds an honorary Visiting Professorship at Imperial College London . He leads the Chair of Numerical Mathematics and serves as Editor-in-Chief of the SIAM/ASA Journal on Uncertainty Quantification since 2021. Research Interests Numerical methods for Hamiltonian systems Data assimilation in geoscience Stochastic particle filters Bayesian inference algorithms Molecular dynamics simulation Multi-scale modeling Collaborative Projects : Principal Investigator and former Speaker (2017-2024) of SFB 1294 Data Assimilation , a DFG-funded Collaborative Research Center Active participant in SFB 1114 Scaling Cascades in Complex Systems at Freie Universität Berlin Books Authored : Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge UP, 2015) Simulating Hamiltonian Mechanics (Cambridge UP, 2005) Technical Contributions : Development of symplectic integration methods Innovations in ensemble Kalman filtering Regularization approaches for geophysical models Stochastic algorithms for molecular simulations

Dennis HohlfeldView profile

Professor

• Silicon-based microsystem technology
• Energy-autonomous systems
• Energy Harvesting
• +3 more

Prof. Dr.-Ing. Dennis Hohlfeld serves as Professor and Chair of Micro- and Nanotechnology of Electronic Systems at the University of Rostock's Institute of Device Systems and Circuit Technology. He holds key administrative roles as Study Advisor and Chairman of the Computational Science and Engineering (CSE) Examination Board, while actively contributing as a reviewer for research funding organizations and scientific publishers. His research spans five core domains: Silicon-based microsystem technology focusing on nanoscale material behavior for high-performance electronics Energy-autonomous systems leveraging environmental energy sources through harvesting techniques Energy-efficient circuit design for miniaturized applications Microoptics development for photonic integration Modeling and simulation techniques enabling system-level analysis of complex multiphysics phenomena Analysis of his 15 most recent publications reveals a dominant trend toward biomedical energy solutions, particularly thermoelectric generators for implantable devices. His work demonstrates strong interdisciplinary integration across electrical engineering, materials science, and neuroscience, with increasing emphasis on model order reduction for efficient simulation of MEMS devices and optogenetic applications. The publications consistently address miniaturization challenges while maintaining system-level performance. No scientific awards were documented in the provided materials. As Study Advisor and Examination Board Chairman for CSE, Prof. Hohlfeld oversees academic progression for computational science students. His research leadership encompasses: Technical Domains Energy harvesting systems for medical implants Photonic integration in microelectronics Multiphysics modeling frameworks Application Areas Autonomous environmental sensors Neuroprosthetic interfaces Power-efficient microsystems The Institute of Device Systems and Circuit Technology houses specialized laboratories for microsystem fabrication, energy harvesting characterization, and optical circuit development, supporting his research in silicon-based nanotechnology and energy-autonomous systems.

Volker KühnView profile

Professor

• Wireless Communication Systems
• Information Theory
• Error-Correcting Coding
• +4 more

Prof. Dr.-Ing. habil. Volker Kühn serves as Professor and Head of the Institute of Communications Engineering at the University of Rostock within the Faculty of Computer Science and Electrical Engineering. He concurrently holds the position of Vice Dean of the Faculty while directing academic operations as Chairman of both the Electrical Engineering and Medical Information Technology Examination Boards. His research integrates wireless communications theory with biomedical applications, specializing in spatial modulation techniques, information bottleneck optimization, and electrical impedance tomography signal processing. Current work focuses on machine learning-enhanced physiological monitoring systems and distributed compression algorithms for sensor networks, with significant contributions to bias-free spectral estimation from irregularly sampled data. Analysis of his 2021-2025 publications reveals three dominant research thrusts: (1) neural network applications for medical signal processing, (2) information-theoretic optimization of communication protocols, and (3) advanced spectral estimation methods for biomedical and sensor data. This interdisciplinary approach bridges communications engineering with healthcare technology development. Prof. Kühn actively mentors students as Study Advisor for Electrical Engineering and Academic Advisor for Medical Information Technology. His leadership extends to the ITG Technical Committee 5.1 on Information and Systems Theory and IEEE societies. The Institute of Communications Engineering under his direction maintains specialized laboratories for wireless communications testing, medical signal acquisition, and MIMO system prototyping, supporting both fundamental research and industry collaboration projects in 5G/6G technologies and healthcare IoT.

Heribert VollmerView profile

Professor

• Theoretical Computer Science
• Computational Complexity
• Logic in Computer Science
• +6 more

Heribert Vollmer is a Professor of Theoretical Computer Science and Managing Director of the Institute for Theoretical Computer Science at Leibniz University Hannover, where he has been employed since 2002. He is also a member of the Academic Freedom Network and serves as a liaison lecturer for the network at Leibniz University. His extensive academic career includes serving as Dean of Studies for Computer Science from 2015-2023 and as spokesperson for the 'Foundations of Computer Science' department of the German Informatics Society. Professor Vollmer earned his doctorate in 1994 on 'Complexity Classes of Functions' from the University of Würzburg, following studies in computer science with a focus on computational linguistics at the Rhineland-Palatinate University of Education in Koblenz (1984-1989). He completed his habilitation in 2000 with a monograph on 'Some Aspects of the Computational Power of Boolean Circuits of Small Depth' and received a teaching qualification in computer science. His research spans theoretical computer science, computational complexity, and logic, with particular focus on Boolean circuits, complexity classes, and descriptive complexity. He has also made significant contributions to the philosophy of mind and intelligence, exploring the relationship between artificial intelligence and consciousness through the lens of Pierre Teilhard de Chardin's philosophical work. His interdisciplinary approach bridges technical computer science with broader philosophical questions about intelligence in humans and machines. Professor Vollmer's notable recognition includes the Feodor Lynen Fellowship from the Alexander von Humboldt Foundation, which supported his research at the University of California at Santa Barbara. He has published over 140 papers in scientific journals and conference proceedings, authored a textbook on circuit complexity, and edited multiple books in his field. As an academic leader, Professor Vollmer has served as editor of the journal 'ACM Transactions on Computational Logic' and as a member of the editorial board of the 'Yearbook of Academic Freedom.' His research has been supported through various academic positions and fellowships, including his visiting professorship at UC Santa Barbara funded by the Humboldt Foundation. He leads the Institute for Theoretical Computer Science at Leibniz University Hannover and is actively involved in the global computer science community as the German representative to Technical Committee 1 'Foundations of Computer Science' of the International Federation for Information Processing (IFIP).

Mingzhou YinView profile

Research Fellow

• Data-based modeling
• System identification
• Sparse learning theory
• +3 more

Dr. Mingzhou Yin is a postdoctoral researcher at the Institute of Automatic Control within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, where he has been working since August 2024. He received his Doctor of Sciences degree from ETH Zurich in 2024 under the supervision of Prof. Roy S. Smith, with a dissertation titled 'Regularized and Nonparametric Approaches in System Identification and Data-Driven Control.' His research interests span data-based modeling and control, sparse learning theory, system identification using subspace and regularized methods, model predictive control, and periodic system theory. Dr. Yin has developed innovative approaches in low-rank matrix regression, Gaussian process-based control of nonlinear systems, and closed-loop identification frameworks. His work bridges theoretical advances with practical applications in energy-flexible buildings and aerospace systems. Dr. Yin has received significant recognition including the IEEE Control Systems Society Swiss Chapter Young Author Best Journal Paper Award and the Systems Identification and Adaptive Control Technical Committee Outstanding Student Paper Prize in 2023. His publications in IEEE Control Systems Letters, Automatica, and other top journals demonstrate his contributions to data-driven control theory. IEEE Control Systems Society Swiss Chapter Young Author Best Journal Paper Award (2023) Systems Identification and Adaptive Control Technical Committee Outstanding Student Paper Prize (2023) As an educator, Dr. Yin has supervised numerous student projects on data-driven predictive control, sparse learning algorithms, and closed-loop identification of networked systems. His teaching includes 'Data- and Learning-Based Control' exercises and previous TA roles for 'Robust Control and Convex Optimisation' and 'System Identification' courses.

Jürgen PeissigView profile

Professor

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +5 more

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

• Population Medicine
• Health Services Research
• Uncertainty Analysis
• +3 more

Christian Franz serves as Scientific Staff in the Faculty of Health Sciences at Bielefeld University, specifically within Working Group 2 Population Medicine and Health Services Research. He maintains active affiliation with the Center for Uncertainty Studies (CeUS), indicating his methodological focus on handling uncertainty in health research contexts. His research spans population medicine and health services with particular emphasis on uncertainty analysis. This work aligns with Bielefeld University's strategic Socio-Technical World research area, which examines capabilities enabling agents like humans and AI systems to operate in complex environments. His position places him within interdisciplinary networks connecting health sciences with computer science, psychology, and social sciences through institutes like CITEC. While specific publication trends aren't detailed in available materials, his institutional context suggests engagement with research examining healthcare systems, population health patterns, and methodological approaches to uncertainty in health data. His work contributes to Bielefeld's strong standing in Social and Behavioral Sciences (ranked 3rd in Germany by DFG Funding Atlas 2024). Christian Franz's professional activities reflect Bielefeld University's commitment to transcending disciplinary boundaries, particularly through intersections between health sciences and technical systems research. His position within Working Group 2 indicates focus on practical applications of population health research within healthcare delivery systems.

• Formal Methods of Software Reliability
• Software Engineering
• Computer Science
• +1 more

Prof. Dr. Ayikudi Ramachandrakumar Balasubramanian holds a Professorship in Formal Methods of Software Reliability at the Technical University of Munich (TUM) within the TUM School of Computation, Information and Technology . His work focuses on rigorous mathematical approaches to ensure software system dependability. Research interests include formal verification, software reliability engineering, and computational logic. Awarded as part of the TUM Senior Excellence Faculty and recognized as an Honorary Professor .

Gerd BumillerView profile

Professor

• Digital Signal Processing
• Power Line Communication (PLC)
• Smart Grids
• +3 more

Gerd Bumiller is a Professor at the Institute of Computer Science, Ruhr West University of Applied Sciences, specializing in Energy and Information Technology. He is an expert in digital signal processing, measurement technology, and powerline communication. Affiliation : Ruhr West University of Applied Sciences Research Focus : Power Line Communication (PLC), Smart Grids, Power Quality, Grid Impedance, Signal Processing Research Interests : Bumiller's work spans Power Quality Measurement (phase information analysis, harmonic power flow), Impedance Measurement Systems for power lines, and Smart Grid Communication Protocols . His projects include GridForm (grid-forming converters), EASIDE (impedance measurement), and NERD-NRW (IT security for smart metering). Publications : His recent work focuses on spectral power quality analysis, harmonic modeling, and impedance measurement optimization in power systems. Key venues include IEEE Transactions on Instrumentation and Measurement and ISPLC conferences. Leadership : Former Secretary (2006-2010, 2014-2018) and Chair (2018-2022) of the IEEE Technical Committee for Power Line Communication (TC-PLC). He also served as program director for Energy Informatics (2018-2022) and held an endowed professorship (2012-2015).

• Compressible Flows
• Numerical Modeling
• Smoothed Particle Hydrodynamics
• +7 more

Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications

Felix FischerView profile

Researcher

• Information Security
• Usable Security
• Machine Learning Applications
• +3 more

Felix Fischer is a Researcher at the Professorship of Cyber Trust within the Department of Computer Science, Technical University of Munich, affiliated with the School of Computation, Information and Technology. His work focuses on the intersection of information security , privacy technologies , and human-computer interaction . Research interests include: Usability and acceptance of security systems Machine learning applications for secure coding Cryptographic implementation challenges in software development Code reuse vulnerabilities in Android applications Recent publications demonstrate his focus on developer security behavior and machine learning interventions across platforms like GitHub and Stack Overflow. He actively contributes to empirical security studies through software tools such as APDG (Attributed Program Dependency Graph generator) and FixTest. Contact: flx.fischer@tum.de | GitHub | Twitter

Dominik FuchsgruberView profile

Researcher

• Uncertainty Estimation
• Spatio-Temporal Deep Learning
• Graph Neural Networks
• +3 more

Dominik Fuchsgruber is a PhD Student at the Technical University of Munich (TUM) , affiliated with the TUM School of Computation, Information and Technology and the Department of Computer Science . His research focuses on uncertainty estimation in machine learning models and spatio-temporal deep learning applications. Educational background: M.Sc. and B.Sc. in Informatics from TUM, with an exchange semester at ETH Zürich Research experience: PhD work at TUM, internships at University of Alberta and Fraunhofer ESK Research Highlights : Developed energy-based uncertainty estimation frameworks for graph neural networks Created orientation-equivariant graph neural networks for edge signal analysis Contributions to efficient inference methods in large-scale machine learning Laboratory Affiliation : Part of the Data Analytics and Machine Learning group led by Prof. Dr. Stephan Günnemann at TUM.