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Tobias DammView profile

Professor

• Control Theory
• Numerical Analysis
• Linear Systems
• +3 more

Prof. Dr. Tobias Damm is a leading academic in the Department of Mathematics at RPTU Kaiserslautern-Landau, heading the Technomathematics Group. His work focuses on control theory, numerical analysis, and stochastic systems, with significant contributions to model reduction, linear systems, and optimization. He holds a professorship and has authored influential publications on topics such as balanced truncation, stochastic control, and numerical methods for large-scale systems. Research Interests: Tobias Damm’s research emphasizes the interplay between theoretical mathematics and practical engineering challenges. Key areas include model order reduction techniques for complex systems, optimal control strategies, and the numerical solution of Lyapunov equations. His work bridges stochastic systems, linear algebra, and control engineering, with applications in energy networks and power systems. Recent Articles: His recent publications explore distributed model predictive control for power systems, complexity reduction of stochastic systems, and Hadamard powers in kernel methods. These contributions highlight advancements in both theoretical frameworks and applied methodologies. Advising & Grants: Damm’s research is supported by grants focusing on energy systems and control theory. His work often collaborates with interdisciplinary teams, addressing challenges in district heating networks and hyperbolic systems reduction. Labs/Teams: He leads the Technomathematics Group, fostering collaborations on cutting-edge problems in control systems and numerical analysis.

• Public debt and sustainable public finance
• Fiscal policy
• Political economy/public choice
• +5 more

Prof. Dr. habil. Lars Siemers holds the academic rank of Adjunct Professor at the University of Siegen, Germany. His current roles include serving as Interim Head of the Chair of Applied Microeconomics (since 2022) and as Senior Lecturer/Adjunct Professor at the Chair of European Economic Policy (since 2017). He has extensive experience in academic leadership, having previously served as Interim Head of the Chair for European Economic Policy (2011–2017). His research focuses on public finance, fiscal policy, political economy, taxation, economic growth, and development economics, with a particular emphasis on empirical methods like applied microeconometrics. Siemers has held teaching and research positions at multiple institutions, including RWI Essen, Ruhr Graduate School, and the University of Heidelberg. His educational background includes a doctoral degree (Dr. rer. pol.) from the University of Heidelberg (2005) and a habilitation (Priv.-Doz.) from the University of Siegen (2017), granting him the venia legendi (right to teach). He is also an affiliated researcher at the MAGKS Graduate School and has contributed to numerous research projects funded by German federal and state agencies. His research publications span topics such as democracy's impact on development, globalization and human rights, taxation policies, and infrastructure investments. Collaborations with institutions like RWI Essen and ETH Zurich underscore his interdisciplinary approach. Key contributions include studies on the fiscal sustainability of German Länder budgets, the effects of tax reforms, and the interplay between corruption and capital controls. Siemers has advised government entities on fiscal policy, tax reform, and public finance management, contributing to policy documents for the Federal Ministry of Finance and the German Council of Economic Experts. His work bridges academic research with practical policy implications, emphasizing long-term fiscal sustainability and growth-oriented economic strategies.

Abdurrahman IrscheidView profile

Researcher

• Control Theory
• Partial Differential Equations (PDEs)
• Nonlinear Control Systems
• +7 more

Dr. Abdurrahman Irscheid is a Researcher at the Chair of Systems Theory and Control Engineering under Prof. Rudolph at Saarland University. He holds a Doctorate (Dr.-Ing.) from the university and has been a research assistant since 2018, with prior student assistant roles dating to 2013. His research focuses on control and observer design for hyperbolic/parabolic PDEs, finite-time convergence methods, and cooperative load transportation with heavy ropes. He has supervised over a dozen theses and projects, including experimental validations of control systems. Educational Background: B.Sc. Mechatronics, Saarland University (2012-2015) M.Sc. Computational Engineering of Technical Systems (COMET), Saarland University (2015-2017, with distinction) Doctorate (Dr.-Ing.), Saarland University (2025) Research Interests: Boundary control of distributed-parameter systems Observer and backstepping design for hyperbolic PDEs Prescribed-time stabilization of nonlinear systems Flatness-based control for complex mechanical systems Applications in load transportation and dielectric elastomer actuators Awards: Best Paper Award (at-Automatisierungstechnik 2023) VDI-Preis 2019 (outstanding Master's thesis) VDE-Saar Preis (top electrical engineering graduation) Stiftungspreis 2018 (top Master's thesis) Teaching & Supervision: Lead exercises in Systems Theory and Control Engineering courses since 2018 Supervised 11+ theses/projects (e.g., observer-based controllers for heavy rope systems, prescribed-time stabilization) Co-advised projects on rotational pendulums and mobile platforms Labs/Teams: Active in the LSR research group focusing on distributed-parameter systems and nonlinear control applications.

Dennis KätzelView profile

Professor

• Neuroscience
• Psychiatry
• Schizophrenia Research
• +6 more

Prof. Dennis Kätzel is a Professor at the University of Ulm's Faculty of Medicine, leading the Kätzel Lab within the Department of Applied Physiology. His research focuses on unraveling the neural circuit mechanisms underlying schizophrenia, with particular emphasis on treatment-resistant cognitive and negative symptoms. The lab employs cutting-edge techniques including optogenetic/chemogenetic circuit manipulation, in vivo electrophysiology, miniscope imaging, and machine learning-based analysis of neural data. His primary research interests span neural circuit dysfunction in schizophrenia , aberrant salience attribution , cognitive deficits (working memory, attention, cognitive flexibility), and translational drug discovery . Key methodologies include multi-site LFP recordings during behavioral tasks, transgenic schizophrenia models, and behavioral pharmacology. The lab has pioneered open-source neuroscience tools such as the Open-MAC commutator and 5-choice operant box systems. Analysis of his 15 most recent publications (2021-2024) reveals a concentrated focus on anterior cingulate cortex and hippocampal circuit mechanisms in schizophrenia-related behaviors. His work consistently bridges molecular interventions (e.g., G-protein signaling modulation) with circuit-level electrophysiological outcomes and behavioral phenotypes, establishing causal links between specific neural mechanisms and symptom domains. A distinctive trend is the development and application of open-source hardware/software solutions to advance preclinical neuroscience methodology. Prof. Kätzel mentors PhD students including Sampath Kapanaiah, Lukas Bühner, and Sophie Lammerich, who contribute to projects involving neural circuit analysis, behavioral testing, and tool development. His lab actively provides public scientific resources through GitHub and Labmaker, including MATLAB scripts for connectivity analysis, hardware design files, and experimental protocols. The Kätzel Lab operates as a translational neuroscience hub within Ulm's Institute of Applied Physiology, maintaining strong collaborations with psychiatric clinicians and pharmacologists. Current work focuses on identifying circuit-level drug targets and developing biomarkers for predicting clinical efficacy of novel schizophrenia therapeutics, with particular attention to cognitive symptom domains lacking effective treatments.

• Visual Foraging
• Visual Attention
• Temporal-Order Perception
• +4 more

Dr. Jan Tünnermann is a Research Fellow at the Philipps-Universität Marburg , affiliated with the Department of Cognitive Psychophysiology within the Faculty of Psychology. His research focuses on Visual Foraging, Temporal-Order Perception, and Artificial Visual Attention Systems , with particular emphasis on cognitive modeling and Bayesian estimation techniques. He investigates how attentional mechanisms guide human behavior in naturalistic and experimental settings, including foraging tasks, game-like experiments, and human-computer interaction scenarios. Research Interests : Visual Attention Dynamics and Template Switching Temporal-Order Judgment and Psychophysics Cognitive Models of Attentional Resource Allocation Artificial Visual Systems Inspired by Human Perception Recent work highlights attention's role in optimizing search strategies across oculomotor and manual tasks, revealing trade-offs between speed and accuracy. He collaborates on interdisciplinary projects, such as developing sensory substitution devices for visually impaired individuals and virtual cycling environments for human-in-the-loop experiments. His publications span journals like Journal of Experimental Psychology and Cognitive Computation , with a focus on advancing computational theories of visual attention. Key Contributions : Pioneering use of the Theory of Visual Attention (TVA) in real-world experiments Model-based analysis of temporal-order judgments Development of saliency detection algorithms for artificial systems No scientific awards explicitly listed, though his work has received attention for methodological innovations in attention research.

Veronika LeschView profile

Professor

• Self-aware Computing Systems
• Cyber-physical Systems
• Industry 4.0
• +3 more

Veronika Lesch is a Professor and Head of the Applied Computer Science program at DHBW Mosbach. Previously, she served as a post-doctoral research group leader and doctoral researcher at the University of Würzburg's Chair of Computer Science II (Software Engineering Group). Her research focuses on self-aware computing systems, cyber-physical systems, and intelligent transportation logistics. She has supervised numerous theses on topics like platooning coordination and warehouse optimization. Notable awards include being a nominee for the 'Ingenieurinnen Preis Bayern' and recipient of the 'Würzburg Software Engineering Award'. Education: She holds a Bachelor's (2015) and Master's (2017) in Computer Science from the University of Würzburg, followed by a PhD and postdoc at the same institution. Professional roles include teaching coordination of MINT courses and supervision of software projects. Research interests span IoT, Industry 4.0 logistics, and autonomous systems optimization. Over 20 peer-reviewed publications since 2017 address challenges in adaptive systems, vehicle routing, and meta-optimization strategies. Active in reviewing for top journals/conferences like IEEE Transactions on ITS and ICPE. Supervised 15+ student theses (2018-2021) Developed FADE framework for adaptive distance estimation Contributed to Combench communication protocol benchmarking Labs/Teams: Previously part of the Software Engineering Group at Würzburg, now leading applied CS initiatives at DHBW Mosbach.

Thomas PrantlView profile

Researcher

• Cybersecurity
• Homomorphic Encryption
• IoT Security
• +3 more

Thomas Prantl is affiliated with the Chair of Computer Science II (Software Engineering) at the University of Würzburg, located in Würzburg, Germany. He contributes to both research and teaching within the Department of Computer Science, focusing on cybersecurity, homomorphic encryption, IoT security, and machine learning applications. His work integrates technical innovation with educational methodologies, such as designing lectures on advanced cryptographic techniques. Research Interests: His primary research areas include homomorphic encryption schemes, secure group communication, performance evaluation of cryptographic systems, and applying machine learning to remote sensing and medical data. He actively explores interdisciplinary topics like blockchain technology and IoT security challenges. Teaching and Mentorship: Prantl coordinates exercises for the bachelor’s course 'Softwaretechnik' and supervises students in software engineering projects (Softwarepraktikum). He also contributes to curriculum development through seminar topic provision and student mentorship. Recent Contributions: Key publications in 2025 focus on homomorphic encryption pedagogy, privacy-preserving CNN applications in medicine, and CKKS cryptosystem optimizations. Earlier work (2024) addressed earth observation product evaluation using CNNs and security analysis of attribute-based encryption schemes. Professional Engagement: He has served as Web Chair for ACM/SPEC ICPE 2022, PC member for Cyber Resilience and Antifragility (CyRA) 2021, and Publicity Chair for Self-Aware Computing (SEAC) 2020. His academic qualifications include a Master of Computer Science and teaching certification in Physics/Computer Science.

Jan Frederick GeorgeView profile

Researcher

• Energy Policy
• Energy Economics
• Climate Policy
• +7 more

Jan Frederick George is a Senior Researcher at the Fraunhofer Institute for Systems and Innovation Research (Fraunhofer ISI), specifically within the Department of Energy Policy and Energy Markets. He obtained his doctorate (Dr. phil.) in 2024 from the University of Freiburg, focusing on the impacts of state-induced price components in energy systems. His work primarily involves research and consulting projects for the German Federal Ministry of Economics and Energy and the European Commission. He holds a degree in Business and Engineering with a focus on energy and mineral resource management from the Technical University of Clausthal and the Universitat Politècnica de València. His professional experience includes roles in civil energy corporations, SMEs, and energy suppliers, addressing energy-related challenges. His research expertise spans: Sector Coupling: Analyzing state-induced energy price components, renewable support levies, and climate policy instruments like CO2 pricing. Focus areas include techno-economic analyses, cost forecasts for sector coupling technologies, and market-driven technology diffusion. Prosumer Concepts: Holistic assessment of investment alternatives and participation options for energy prosumers, emphasizing sustainable and equitable energy systems. Flexible Energy Markets: Investigating short-term electricity and control energy markets, regulatory interactions, and policy design to enhance system flexibility. Key projects include: Kopernikus Project – Ariadne: Addressing energy system transformation and policy design. EEA Energy Prosumption in Europe: Studying citizen participation in the energy transition. German TSOs Medium-term Forecast: Analyzing Germany’s electricity supply to 2026. He is actively involved in: Research projects funded by the German Federal Ministry of Economics and Energy (BMWi). Consultancy for the European Commission on energy policy frameworks. He is part of the Fraunhofer ISI’s Department of Energy Policy and Energy Markets, contributing to interdisciplinary teams focused on energy transition challenges.

Richard MembarthView profile

Researcher

• High-Performance Computing
• Domain-Specific Compilers
• GPU Acceleration
• +4 more

Richard Membarth is an academic researcher at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Computer Science. His work focuses on high-performance computing, domain-specific compilers, and GPU acceleration. He has contributed to projects like FLOWER (dataflow compiler), Hipacc (image processing DSL), and XEngine (neural network optimization). Membarth's research bridges compiler design, parallel algorithms, and heterogeneous hardware, with applications in medical imaging, bioinformatics, and autonomous systems. Co-developer of AnyDSL framework for partial evaluation Lead in GPU acceleration for molecular dynamics (tinyMD) Specialized in compiler techniques for FPGAs and GPUs Key areas include: - Domain-specific languages (DSLs) - Parallel algorithm optimization - Medical computing pipelines - Real-time graphics rendering

Anthony SteinView profile

Assistant Professor

• Agricultural Robotics
• AI in Digital Agriculture
• Swarm Robotics
• +7 more

Anthony Stein is a Tenure Track Professor (equivalent to Assistant Professor) and Head of the Department of Artificial Intelligence in Agricultural Engineering at the University of Hohenheim's Faculty of Agricultural Sciences. He holds a Dr. rer. nat. from the University of Augsburg. Research develops intelligent agricultural systems through reinforcement learning, evolutionary computation, and distributed AI. Core applications include real-time weed detection, robotic crop monitoring, emission prediction, and resource-efficient AI for sustainable farming. Recent publications focus on optimizing vision systems for precision agriculture using generative AI and federated learning. Work emphasizes embedded system deployment and multi-objective neural architecture design. No awards documented. Leads research on AI-driven agricultural robotics without specific student advising details. Committee roles include GI Organic Computing group leadership and KTBL outdoor robotics standards.

• Photonics
• Optical Fiber Sensing
• Laser Technology
• +4 more

Bernhard Schmauss is a Professor at the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His primary affiliation is with the Institute of Microwaves and Photonics (LHFT). He holds leadership roles in multiple academic committees, including the MAOT Master Programme and various study commissions. His research focuses on advanced photonics, optical fiber sensing, laser technology, and telecommunications. Schmauss has authored numerous publications in high-impact journals and conferences, contributing to fields like distributed sensing, Bragg gratings, and optical network applications. His research interests emphasize innovative sensor technologies, including fiber Bragg gratings, hollow-core fibers, and integrated photonic devices. He has pioneered methods in coherent optical frequency domain reflectometry and developed novel optical sensor networks for industrial and biomedical applications. Schmauss collaborates extensively on projects involving smart infrastructure monitoring, high-precision temperature sensing, and material characterization using advanced optical techniques. Key contributions include advancements in polymer-based waveguide fabrication, sapphire photonic structures, and real-time laser beam calibration. His work bridges fundamental photonics research with practical applications in telecommunications, energy systems, and biomedical engineering. Schmauss actively participates in academic governance, shaping FAU’s engineering education and research strategies through his roles in faculty committees and study commissions.

Andreas JürgensView profile

Professor

• Plant Ecology
• Infection Dynamics
• Pollination Biology
• +4 more

Prof. Dr. Andreas Jürgens serves as Dean for Student Affairs at the Technical University of Darmstadt, Department of Chemical Plant Ecology. His research focuses on plant-pathogen interactions, floral mimicry, pollination biology, and chemical ecology. He investigates how plants adapt to ecological challenges through mechanisms like carrion/dung mimicry and employs molecular methods to study fungal and phytoplasma pathogens in agricultural systems. Key areas: Phytoplasma infection dynamics, entomopathogenic fungi, pollinator-prey conflicts, and olfactory communication in plants and animals. Notable work includes studies on Cacopsylla psyllids, Botrytis cinerea strains, and the ecological roles of floral scent and color. Research extends to animal behavior, including rhino dung communication and bumblebee learning, demonstrating interdisciplinary approaches. His publications emphasize plant defense mechanisms, pathogen-vector relationships, and evolutionary trade-offs in multispecies interactions.

Maximilian LauschView profile

Researcher

• Fluid Dynamics
• Particle Dynamics
• Chemical Engineering
• +3 more

Dr. Maximilian Lausch is a researcher at Technical University of Darmstadt specializing in microparticle dynamics within shear flows, with active contributions to fluid mechanics and chemical engineering through high-impact publications. His core research domains include: Fluid Dynamics Particle Dynamics Chemical Engineering Materials Science Multiphase Flows Catalysis Current work emphasizes experimental analysis of particle dissolution, impact fragmentation, and catalytic optimization, particularly for environmental applications like emission control systems. Recent publications demonstrate interdisciplinary approaches combining in-situ characterization, statistical modeling, and flow dynamics.

• Power Systems
• Energy Economics
• Grid Integration
• +3 more

Albert Moser is a Professor and Chair of Transmission Grids and Energy Economics at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His research focuses on power system optimization, energy market design, and grid integration of renewable resources, with emphasis on developing modeling frameworks for future energy systems. His technical expertise encompasses congestion management strategies, grid stability analysis for converter-dominated systems, and integrated energy system planning. Recent work investigates water-energy interdependencies for hydrogen production, complexity reduction techniques for stability assessment, and curative remedial action planning for enhanced grid resilience. Moser's publications demonstrate consistent focus on practical solutions for energy transition challenges, including market-based approaches for grid charge allocation, uncertainty-aware infrastructure planning, and advanced modeling of HVDC systems and wind generation clusters. His group develops computational tools for security-constrained optimization and hybrid simulation techniques to address power quality issues.

Michael FörsterView profile

Researcher

• Remote Sensing
• Ecosystem Dynamics
• Environmental Monitoring
• +3 more

Dr. Michael Förster is the Head of the Vegetation Remote Sensing Research Department and a Postdoctoral researcher at the Technical University of Berlin since 2009. His work focuses on developing remote sensing methods to analyze ecosystem dynamics, vegetation structure interactions, and environmental indicators using satellite and drone data. He holds expertise in integrating optical and SAR time series to study forest health, drought impacts, and soil moisture dynamics. Education & Positions: PhD in Geoecology (Potsdam, 2003) Visiting Scientist positions at JRC (2018), Utrecht University (2012), and EURAC (2010) Research roles at TU Berlin since 2003 Research Interests: Analyzing ecosystem degradation via remote sensing time series Linking spectral/plant trait data to biophysical variables Deriving actionable environmental indicators for policy frameworks (e.g., NATURA 2000) Integrating LiDAR/SAR with optical data for forest evaluation Drone-satellite synergy for ecohydrological studies Key Contributions: Pioneered drought impact analysis using XAI and Sentinel-2 data Developed methods for bark beetle infestation detection Advanced soil moisture modeling via cosmic-ray neutron sensing and remote sensing fusion Published extensively in journals like Ecological Indicators, Remote Sensing of Environment, and Forest Ecology and Management Labs & Teams: Leads the Vegetation Remote Sensing Research Department, coordinating interdisciplinary projects on environmental monitoring and geoinformatics.