جست‌وجوی استاد و پژوهشگر

Dominik Schmidمشاهده پروفایل

استاد

• Probability Theory
• Markov Chains
• Interacting Particle Systems
• +۳ مورد دیگر

Dominik Schmid is a junior professor at the University of Augsburg , affiliated with the Faculty of Mathematics, Natural Sciences and Technology and the Institute of Mathematics under the Chair of Stochastics and Its Applications . Prior to this role, he held postdoctoral positions at Columbia University , University of Bonn , and Princeton University . His research focuses on probability theory , particularly mixing times for Markov chains , limit theorems for interacting particle systems , and stochastic processes in random media . Education: PhD in Mathematics, Technical University of Munich (2021) Research Trends: His work on exclusion processes , random walks in dynamic environments , and fragmentation models has been published in leading journals such as Annals of Probability , Communications in Mathematical Physics , and Annals of Applied Probability . Key themes include non-equilibrium statistical mechanics , random graph dynamics , and hydrodynamic limits . Scientific Contributions: Developed sharp mixing time bounds for exclusion processes in various boundary conditions Extended cutoff theory to tree structures and Galton-Watson random media Derived limit profiles for the Bernoulli-Laplace urn and ASEP models Academic Engagement: Organizes workshops at institutions like the Simons Center and Oberwolfach , and has delivered invited talks in Poland , Hungary , Italy , and China . Teaches advanced courses on discrete probability and KPZ universality at the University of Augsburg.

• Privacy-preserving machine learning
• Adversarial robustness
• Differential privacy
• +۵ مورد دیگر

Saeed Mahloujifar is a researcher in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. He has established himself as a prominent researcher in machine learning security, privacy, and robustness, with extensive collaborations with leading researchers including Prateek Mittal, Mohammad Mahmoody, and Somesh Jha. His research primarily focuses on security and privacy challenges in machine learning systems. Mahloujifar has made significant contributions to understanding and mitigating membership inference attacks, developing defenses against poisoning and backdoor attacks, advancing differential privacy techniques, and exploring the fundamental limits of robust machine learning. His work bridges theoretical foundations with practical applications, often developing novel algorithms and frameworks that have been widely adopted in the security and privacy communities. The analysis of his recent publications reveals a strong research trajectory centered on privacy-preserving machine learning, with particular emphasis on large language models, differential privacy guarantees, and security vulnerabilities. His work spans theoretical foundations of privacy through practical security mechanisms like watermarking and robustness benchmarking. A notable trend is his increasing focus on large language models and their security implications, alongside continued contributions to foundational privacy theory. Mahloujifar has co-authored over 90 publications since 2017, with a significant acceleration in output since 2020. His work appears consistently in top-tier venues including NeurIPS, ICML, IEEE S&P, and USENIX Security, demonstrating both breadth and depth in his research contributions.

• Wireless Communication Networks
• Distributed Systems
• Sensor Networks
• +۸ مورد دیگر

Prof. Horst Hellbrück is an esteemed academic at the Lübeck University of Applied Sciences , where he holds a professorship in Communication Systems and Distributed Systems since 2008. He leads the Center of Excellence CoSA (Communications - Systems - Applications) and focuses on wireless mobile networks, sensor networks, and their applications in medical and underwater technologies. His work bridges theoretical research with practical implementations, including projects like 5G-TELK-NF (autonomous driving/flying), Baltic Future Port (5G drone-based data optimization), and DAVE (digital twin for inland vessel navigation). Education: Diplom (equiv. to Master’s) in Electrical Engineering (1994, University of Saarland); PhD in Computer Science (2004, TU Braunschweig). Research Interests: Modern network structures, sensor systems for healthcare, underwater object detection, and 5G/AI integration. Scientific Contributions: His recent publications focus on UWB-based localization, 5G industrial deployments, and multisensor platforms for underwater applications. He has developed tools like ANSim (Ad-Hoc Network Simulator) and JGPSMap (GPS visualization). Leadership Roles: Active in GI/ITG Fachgruppe KuVS , program committee memberships, and long-term support for internationalization as part of the university’s governance bodies.

Burkhard Heerمشاهده پروفایل

استاد

• Public Economics
• Distributional Macroeconomics
• Optimal Taxation
• +۳ مورد دیگر

Burkhard Heer is a full Professor of Public Finance at the University of Augsburg 's Faculty of Business and Economics . He previously held academic positions at the Universities of Bolzano (2004-2012), Bamberg (2001-2004), Innsbruck (2001), and Ludwig Maximilian University of Munich (2000-2001). He earned his Ph.D. and habilitation from the University of Cologne in 1996 and 2000 respectively. Research Affiliations : CESifo (Munich), Netspar (Tilburg) Research Interests span public economics , distributional macroeconomics , and dynamic general equilibrium (DSGE) modeling . His work explores optimal taxation , social security systems , business cycles , and macroeconomic policy analysis through computational methods. Recent Publications demonstrate expertise in DSGE modeling (3rd ed., 2024), demographic economics , taxation-automation dynamics , and pension systems across aging economies. He frequently employs computational methods for macroeconomic analysis and policy simulation . Scientific Recognition : Listed among top 100 German international economists by Handelsblatt (2010, 2011). Affiliated with leading research networks: CESifo and Netspar . Teaching includes masters-level macroeconomics , public finance , and predictable generational models at undergraduate/graduate levels. The chair offers thesis supervision in public economics and macroeconomic policy topics.

Robert Kohrsمشاهده پروفایل

مدرس

• Smart Grids
• Communication Technologies
• Distributed Energy Resources (DER)
• +۵ مورد دیگر

Dr. Robert Kohrs is a researcher and lecturer with expertise in smart grid communication technologies, distributed energy resource (DER) management, and electric vehicle (EV) grid integration. He currently leads the Smart Grids department at Fraunhofer ISE and contributes to teaching at Albert-Ludwigs-University of Freiburg. Education: PhD in Semiconductor Detectors for High-Energy Particle Physics (University of Bonn, 2008) Diploma in Physics (University of Bonn, 2002) His research focuses on smart grid communication protocols, demand-side management, and bidirectional EV charging. He has led major projects like DEMAX and iZEUS, developing predictive control systems for photovoltaic-battery integration and vehicle energy networks. Recent publications highlight his work on stochastic energy frameworks, blockchain-based management systems, and grid-forming inverters, spanning topics from smart metering to renewable energy communities . He collaborates widely with teams across Fraunhofer ISE and industry partners.

• Computerized Tomography
• Radon Transform
• Mathematical Imaging
• +۴ مورد دیگر

Matthias Beckmann is an active researcher specializing in mathematical imaging, with a strong focus on the Radon Transform and its applications in computerized tomography and image processing. His work spans theoretical developments, algorithm design, and practical implementations in medical and computational imaging. He has established significant collaborations with researchers across multiple institutions, particularly with Ayush Bhandari, Felix Krahmer, and Robert Beinert. Beckmann's research primarily centers on the Modulo Radon Transform, a specialized area within mathematical imaging that addresses challenges in high-dynamic-range tomography and limited data scenarios. His work bridges theoretical mathematics with practical computational methods, developing novel inversion formulas, reconstruction algorithms, and classification techniques. He has made significant contributions to understanding the properties of the Modulo Radon Transform, developing Fourier-domain inversion methods, and creating normalized transforms that provide invariance and robustness in image classification tasks. Analysis of Beckmann's publication trends reveals a consistent progression from theoretical foundations to practical applications. His early work established the mathematical framework for the Modulo Radon Transform, while more recent publications demonstrate applications in machine learning, optimal transport theory, and specialized imaging scenarios like thermogram analysis of watermarks in manuscripts. His research shows increasing integration of neural network approaches with traditional mathematical imaging techniques, particularly in addressing indirect measurement problems. Beckmann has contributed to multiple prestigious journals including SIAM Journal on Imaging Sciences, SIAM Journal on Mathematics of Data Science, and IEEE Transactions on Computational Imaging, demonstrating the significance and recognition of his work within the mathematical imaging community. His publications span conference proceedings, journal articles, and technical reports, showing versatility in communicating research findings to different academic audiences. Through his collaborations and publication record, Beckmann appears to be actively involved in research teams focused on computational imaging and mathematical methods for image processing. His work on lecture notes suggests involvement in educational activities related to computerized tomography, though specific teaching roles or institutional affiliations are not explicitly documented in the available publication records.

Emanuele D'Osualdoمشاهده پروفایل

استاد

• Programming Languages
• Verification
• Security
• +۸ مورد دیگر

Emanuele D'Osualdo is a Tenure-Track Professor of Formal Methods for Software Engineering at the University of Konstanz, Department of Computer and Information Science. Previously, he was a Postdoctoral Researcher at Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken until April 2024, working with Derek Dreyer on verification of concurrent software. Before that, until September 2020, he was a Marie Curie Fellow at Imperial College London, working with Prof. P. Gardner. From 2015 to 2017, he was a PostDoc in the Concurrency Theory Group at the University of Kaiserslautern, working with Prof. Roland Meyer. His educational background includes: PhD (DPhil) in Computer Science from the University of Oxford (2015), supervised by Prof. C.-H. Luke Ong Undergraduate and master's studies at the University of Udine, Italy, graduating with honors and supported by the Scuola Superiore scholarship Emanuele D'Osualdo's research focuses on Formal Methods for the verification of software, with particular emphasis on two main approaches: automatic verification methods using static analysis and infinite-state model checking; and compositional methods, focusing on program logics for properties beyond safety. His work spans several areas including Programming Languages, Verification, Security, Concurrency Theory, Probabilistic Programs, Types, Static Analysis, Process Algebra, and Model Checking. His research has led to the development of tools such as Soter for automatic safety verification of Erlang programs and James Bound for analyzing π-calculus. His recent publications demonstrate a strong focus on advanced verification techniques for concurrent and distributed systems, with particular attention to linearizability, session types, security protocols, and probabilistic reasoning. His work bridges theoretical foundations with practical applications in software verification, showing a progression from foundational work on π-calculus to more applied verification of concurrent data structures and probabilistic systems. He has received notable recognition for his work, including: Winner of the 2016 CPHC/BCS Distinguished Dissertation award Marie Curie Fellow Emanuele actively supervises students and leads research in formal methods. He is involved in several research projects related to software verification and has presented his work at top-tier conferences including POPL, OOPSLA, ESOP, and CAV. He is scheduled to give a keynote at HYPER'25 in Zagreb and will be attending POPL'25. His research group appears to focus on developing theoretically sound yet practical verification techniques for modern concurrent and distributed software systems.

• Edge Computing
• 5G Networks
• Serverless Applications
• +۴ مورد دیگر

Dr. Balázs Sonkoly is a researcher specializing in edge computing, serverless applications, and 5G network optimization. His work focuses on latency-sensitive systems, multi-user augmented reality coordination, and cloud-native microservice management across distributed architectures. Key research themes include network function virtualization (NFV), software-defined networking (SDN), and programmable packet-optical networks Recent publications analyze AI-driven autoscaling, P4-assisted serverless migration, and multi-domain service orchestration Article trends reveal expertise in mixed reality frameworks, federated learning for vehicular networks, and edge-cloud convergence. His collaborations span institutions like IEEE, SIGCOMM, and the UNIFY project. Contributions to conferences like NOMS, ISMAR, and GLOBECOM highlight practical implementations of edge cloud platforms, SLAM integration, and latency-constrained resource allocation.

Mirco Sternمشاهده پروفایل

پژوهشگر

• Sensor Networks
• Database Systems
• Service Composition
• +۲ مورد دیگر

Mirco Stern is a researcher at the Institute of Information Management (IPD Böhm) at Karlsruhe Institute of Technology. His work focuses on sensor networks, database systems, and service composition technologies. Key research areas include distributed query processing, data quality guarantees, and optimization of join operations in resource-constrained environments. Role : Researcher, Institute of Information Management Location : Karlsruhe, Germany Research trends highlight his expertise in sensor network optimization (join processing, wavelet transforms) and service composition (semantic matchmaking, automated integration). Publications span ACM SIGMOD, VLDB, and ECOWS conferences, emphasizing algorithm design and system efficiency.

Thomas Bergerمشاهده پروفایل

استادیار

• Control Theory
• Systems Theory
• Mathematical Modeling
• +۴ مورد دیگر

Thomas Berger is an Assistant Professor at Paderborn University, affiliated with the Faculty of Computer Science, Electrical Engineering and Mathematics and the Institute of Mathematics. He leads the Applied Mathematics and Stochastics group, focusing on systems theory and control theory. Email: thomas.berger@uni-paderborn.de, thomas.berger@math.upb.de Office: Technologiepark 21, Room TP21.1.21, Paderborn His research centers on control theory, systems theory, and mathematical modeling, with applications in dynamical systems and public health. Recent work includes funnel control for linear/nonlinear systems, synchronization of heterogeneous agents, and feedback control strategies for managing pandemic ICU capacity. Key trends in his publications include funnel control , descriptor systems , nonlinear system constraints , and public health dynamics , reflecting interdisciplinary applications of control theory. At Paderborn University, he is the head of the Applied Mathematics and Stochastics group within the Institute of Mathematics and teaches a seminar on Mathematical Systems and Control Theory.

Alfonso Rafael Cabrera Galiciaمشاهده پروفایل

پژوهشگر

• Cryogenic Electronics
• Quantum Computing Hardware
• Semiconductor Device Physics
• +۳ مورد دیگر

Alfonso Rafael Cabrera Galicia is a Doctoral Researcher at the Forschungszentrum Jülich, affiliated with the Peter Grünberg Institute (PGI) and its department Integrated Computing Architectures (PGI-4) . His work focuses on cryogenic electronics for quantum computing and semiconductor device physics. Academic Rank: Researcher Location: Wilhelm-Johnen-Str. 1, Jülich, 52428 Contact: +49 2461 61 2425 His research spans cryogenic integrated circuits , power management for quantum systems , and low-temperature semiconductor behavior . Recent publications highlight advancements in voltage regulation, noise thermometry, and cryogenic CMOS optimization for quantum computing. Key trends: Cryogenic compatibility of FDSOI technology Quantum control circuit design Power integrity in large-scale systems Thermal effects in nanoscale transistors Labs/Teams: • Peter Grünberg Institute (PGI-4) - Integrated Computing Architectures

Dirk Timmermannمشاهده پروفایل

عضو هیئت علمی

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.

Helge Parzyjeglaمشاهده پروفایل

پژوهشگر

• Publish/Subscribe Systems
• Distributed Event-Based Systems
• Time-Sensitive Networking
• +۵ مورد دیگر

Dr. Helge Parzyjegla is a researcher at the Institute of Computer Science at the University of Rostock, Germany. His work focuses on publish/subscribe systems, time-sensitive networking, and autonomous underwater vehicles. He has maintained a consistent publication record since 2005 and continues to produce significant contributions to distributed systems and networking. Dr. Parzyjegla completed his PhD in 2014 at the University of Rostock with a dissertation titled "Engineering Publish/Subscribe Systems and Event-Driven Applications." Prior to that, he earned his Master's degree in 2005 from the Technical University of Berlin with a thesis on "An adaptive broker network for publish/subscribe systems." His research spans several interconnected areas in computer science and engineering. He has made significant contributions to publish/subscribe middleware systems , developing autonomous and adaptive approaches for event-based communication. His work on time-sensitive networking addresses critical challenges in real-time industrial applications, focusing on reliability, scheduling, and security. More recently, he has expanded his research to autonomous underwater vehicles , developing simulation models, path planning algorithms, and collaborative systems for maritime applications. His interdisciplinary approach bridges theoretical computer science with practical engineering applications. An analysis of his recent publications (2021-2025) reveals a clear progression from foundational work on publish/subscribe systems toward more applied research in time-sensitive networking and autonomous underwater vehicles. His work consistently addresses reliability, efficiency, and security challenges in distributed systems. The increasing focus on maritime applications since 2021 demonstrates his ability to adapt his expertise to new application domains while maintaining technical rigor. Best Paper Award in System Software and Security (2015) Dr. Parzyjegla has collaborated extensively with researchers at the University of Rostock and other institutions, particularly in the areas of networked systems and maritime technology. His sustained publication record suggests successful funding for his research activities. His work appears to involve both theoretical development and practical implementation, with numerous collaborations on simulation frameworks and experimental systems. His research appears to be conducted within the broader context of the Institute of Computer Science at the University of Rostock, with particular connections to groups working on distributed systems, networking, and maritime applications. The consistent collaboration with researchers like Gero Mühl, Peter Danielis, and Willi Brekenfelder suggests a cohesive research team focused on networked systems and their applications.

Folkmar Bornemannمشاهده پروفایل

استاد

• Numerical Mathematics
• Scientific Computing
• Multiscale Problems
• +۵ مورد دیگر

Prof. Dr. Folkmar Bornemann is a full Professor at the Technical University of Munich (TUM) within the School of Computation, Information and Technology. He leads the Chair of Scientific Computing and has been active in numerical mathematics and computational methods since 1998. Numerics of Multiscale Problems Interplay between algorithms and mathematical analysis Applications in medical technology, natural sciences, and digital image processing His research focuses on Scientific Computing and Numerical Mathematics , particularly addressing challenging problems through computational methods. He has contributed to areas including: Random matrix theory Image processing algorithms Homogenization of mechanical systems Fredholm determinants computation Scientific awards include: 100-Digit Challenge (SIAM, 2002) Ernst Reuter Prize (FU Berlin, 1992) Joachim Tiburtius Prize (Berlin, 1990) He has held leadership roles such as Dean of Mathematics Faculty (2018-2022) and serves on the German Council of Science and Humanities since 2024.

Steffen Dirkesمشاهده پروفایل

پژوهشگر

• Fuel Cell Technology
• Green Hydrogen
• Energy Systems
• +۳ مورد دیگر

Dr. Steffen Dirkes is the Acting Group Lead for System Research at the Institute of Energy Technologies (IET), Research Center Jülich GmbH . His work focuses on electrochemical energy systems, particularly proton exchange membrane (PEM) fuel cell technologies for sustainable mobility and industrial applications. His research interests span Fuel Cell Technology Green Hydrogen Energy Systems Optimization Computational Modeling Hydrogen Mobility Sustainable Energy . He specializes in predictive maintenance, dynamic system modeling, and energy-water nexus solutions. Dr. Dirkes has contributed to 12 publications (2019–2025) on topics like DryHy project for water-positive hydrogen carriers, lifetime management frameworks for fuel cells, and adaptive energy management strategies for hybrid railway systems. His work combines advanced simulation techniques with real-world validation in transportation and heavy-duty applications.