Find Academic Supervisors

• Theoretical Computer Science
• Algorithms
• Approximation Algorithms
• +7 more

Shaofeng Jiang is an Assistant Professor at Peking University, affiliated with the School of Computer Science and the Center on Frontiers of Computing Studies. He previously held an assistant professor position at Aalto University and was a postdoctoral researcher at the Weizmann Institute of Science under Robert Krauthgamer. He earned his PhD from the University of Hong Kong under Hubert Chan and completed his bachelor's at Shandong University. PhD: University of Hong Kong, supervised by Hubert Chan Bachelor's: Shandong University His research lies in theoretical computer science, focusing on algorithm design for massive and high-dimensional data. Key interests include approximation algorithms, online algorithms, streaming algorithms, clustering, coresets, and dimensionality reduction. His work often bridges theoretical guarantees with practical applications in distributed and parallel computing environments. The recent publications reveal a strong trend in developing efficient and scalable algorithms for clustering problems, particularly through coreset construction, dimensionality reduction, and distributed models like MPC. There is a growing emphasis on fairness, robustness, and dynamic settings, indicating a forward-looking research agenda in adaptive and responsible algorithmic systems. He actively mentors PhD students and teaches both undergraduate and graduate courses in programming and computational social science. He has served on program committees for top conferences including NeurIPS, ICML, and STOC, and co-organized a Dagstuhl seminar on clustering. Scientific Service and Leadership: Co-organizer, Dagstuhl Seminar on New Trends in Clustering (2026) Area Chair, NeurIPS 2024 and 2025 Program Committee, IPDPS 2019, SWAT 2022, COCOA 2024, ICALP 2026 He has received no explicitly mentioned scientific awards. His grants and funding sources are not detailed in the text. He leads a research group focused on theoretical foundations of data-efficient algorithms, collaborating with students on cutting-edge problems in high-dimensional and streaming data analysis.

• Edge Computing
• 5G Networks
• Serverless Applications
• +4 more

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.

Philipp WiesnerView profile

Research Fellow

• Carbon-Aware Computing
• Distributed Systems
• Machine Learning Systems
• +1 more

Philipp Wiesner is a Research Fellow at Technische Universität Berlin in the Distributed and Operating Systems (DOS) group led by Prof. Odej Kao. He completed his PhD at TU Berlin in June 2025 with summa cum laude honors for his thesis on carbon-aware optimization. Prior to academia, he worked as a Software and Data Engineer in Berlin. His research focuses on carbon-aware computing —aligning computational energy use with renewable availability—and intersects with distributed systems, machine learning infrastructure, and sustainable energy systems. Key methodologies include workload shifting, federated learning optimization, and simulation testbeds. Wiesner received the 1st prize in CarbonHack22 (2022) and his PhD distinction (2025). He led the Software Campus project SYNERGY (2022-2024), developing sustainable federated learning ( FedZero ) and carbon-aware testing tools ( Vessim ). He supervised TU Berlin's Master Project on Distributed Systems (2022) and served on the e-Energy 2026 Technical Program Committee. He collaborates internationally with institutions including the University of Glasgow, PUCRS (Brazil), and IRIT (France), and maintains active roles in workshops like LOCO'24.

Björn-Oliver HartmannView profile

Researcher

• Computer Science
• Distributed Systems
• Game Theory
• +3 more

Björn-Oliver Hartmann is a researcher at the Karlsruhe Institute of Technology (KIT), affiliated with the Faculty of Informatics and the Institute of Program Structures and Data Organization. His work focuses on distributed systems, game theory, and social network analysis. Research Areas: Network formation, peer-to-peer systems, strategic interaction, incentive mechanisms, and social network dynamics. Teaching: Served as Übungsleiter (exercise instructor) for courses including Distributed Data Storage and Software Development for Social Networks. Projects: Contributed to the SONAR project, emphasizing user-centric social network visualization.

Mirco SternView profile

Researcher

• Sensor Networks
• Database Systems
• Service Composition
• +2 more

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.

Patrick FischerView profile

Researcher

• Biomedical Engineering
• Machine Learning
• Respiratory Disease Research
• +3 more

Patrick Fischer, M.Sc., is a Researcher and Doctoral Student at the Department of Health Sciences, Technische Hochschule Mittelhessen (THM), with a focus on biomedical engineering, machine learning, and respiratory disease research. His work spans nocturnal symptom monitoring in COPD and asthma patients, mobile health technology development, and AI-driven medical diagnostics. Key research areas include Biomedical Engineering applications for respiratory monitoring Machine Learning techniques in disease detection Mobile Health Technologies for home-based care Computational Biology in DNA methylation analysis Recent publications highlight graph database applications in nutrition apps, distributed computing for CNS tumor classification, and deep learning for cough detection and plagiocephaly monitoring. All articles demonstrate interdisciplinary approaches combining clinical needs with computational methods. His teaching responsibilities include supervising final thesis and project work. Contact: patrick.fischer@ges.thm.de .

Hagen LauerView profile

Professor

• System Security
• Cyber Resilience
• IT Forensics
• +1 more

Hagen Lauer is a Professor of IT Security at Technische Hochschule Mittelhessen (University of Applied Sciences) . His expertise spans system security, cyber resilience, IT forensics, and formal methods. He teaches courses such as Decentralized Security , Computer Forensics , and Blockchain Fundamentals . Email: hagen.lauer@mni.thm.de Office: A20.1.22, Wiesenstraße 14, Gießen Contact: +49 (0) 641 309 2343 Education: Doctorate in Computer Science from Monash University (2020) . Previous affiliations include the Commonwealth Scientific and Industrial Research Organization (CSIRO) and the Fraunhofer Institute for Secure Information Technology (SIT) , where he served as acting department head until his appointment at THM Mittelhessen in 2022. Research Focus: Lauer's work emphasizes cyber resilience in autonomous systems, security protocols for energy grids, and formal verification of stratified architectures. His contributions address trust in virtualized platforms, decentralized IoT standards, and hypervisor-based attestation mechanisms. Publication Trends: Recent works focus on cyber-physical security in energy systems, formal logic for stratified architectures, and user-centric attestation in distributed environments. Topics include autonomous agents, smart grid protection, and containerization security.

• Computer Science
• Operating Systems
• Compiler Construction
• +2 more

Michael Jäger is a Professor at Giessen University of Applied Sciences, specializing in Computer Science . He studied and received his doctorate in computer science from the Technical University of Darmstadt in 1983, followed by roles as a software developer, researcher, and lecturer at Technical University of Darmstadt and University of Mannheim before his appointment at Giessen in 1988. His expertise spans Operating Systems , Compiler Construction , Internet Technologies , and Software Architecture . Research Interests Operating Systems: Focused on system design, optimization, and resource management. Compiler Construction: Emphasizing language processing, code generation, and optimization techniques. Internet Technologies: Exploring networking protocols, web systems, and distributed computing. Software Architecture: Addressing scalable design, component integration, and system reliability. Scientific Awards No scientific awards, fellowships, or medals were explicitly mentioned in the provided texts. Advising and Grants There is no information provided about students, advisees, or grant funding in the available texts.

Thomas BergerView profile

Assistant Professor

• Control Theory
• Systems Theory
• Mathematical Modeling
• +4 more

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.

• Assistive Technology
• Embedded Systems
• Real-time Operating Systems
• +3 more

Dr. Florian von Zabiensky is a Lecturer at Technische Hochschule Mittelhessen , where he has taught courses such as Embedded Systems Internship, Real-time Systems, and Software Engineering Project since 2016. He holds a PhD and M.Sc. in Computer Science, with a focus on embedded systems and assistive technologies for the blind. His research spans real-time operating systems, domain-specific languages, and simulation of embedded systems. Education : B.Sc. and M.Sc. in Computer Science, with thesis work on memory management and wireless sensor networks. Research Interests : Assistive technology, embedded systems, real-time systems, domain-specific languages, and sensor networks. Publications : Focus on electronic travel aids, AADL for ROS2 architectures, and neural networks in accessibility solutions. Industry Role : Software developer at Schmidt Embedded Systems GmbH since 2020 and self-employed developer in embedded systems.

Alfonso Rafael Cabrera GaliciaView profile

Researcher

• Cryogenic Electronics
• Quantum Computing Hardware
• Semiconductor Device Physics
• +3 more

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

• Cognitive Neuroscience
• Natural Language Processing
• Computational Neuroscience
• +2 more

Andrea Bruera is a Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, affiliated with the Cognition and Plasticity research group. His work bridges cognitive neuroscience, computational linguistics, and machine learning to investigate how the brain processes semantic information. Research Focus: Bruera's interdisciplinary research examines: Neural mechanisms of semantic processing using EEG/fMRI Applications of language models to decode brain activity Causal effects of brain stimulation on cognition Neuroplasticity in conceptual and executive control systems Computational modeling of semantic memory and entity representation Publication Trends: His 15 most recent articles (2019-2025) demonstrate consistent focus on: Brain-language interactions through multimodal neuroimaging Integration of AI models (GPT-2, distributional semantics) with neuroscience Experimental paradigms involving semantic control, entity recognition, and plasticity Methodological innovations in data generation and privacy-preserving techniques No awards, grants, or student mentorship details are available in the provided sources. Laboratory Affiliation: Bruera conducts research within the Cognition and Plasticity group, which employs interdisciplinary approaches to study adaptive neural mechanisms in cognitive processing.

• Neuroscience
• Cognitive Science
• Brain Stimulation
• +6 more

Ole Numssen is a Postdoctoral Researcher in the Research Group Cognition and Plasticity at the Max Planck Institute for Human Cognitive and Brain Sciences. His work focuses on non-invasive brain stimulation (TMS) combined with neuroimaging (fMRI, EEG) to study neural networks related to language, cognition, and motor function. Institution : Max Planck Institute for Human Cognitive and Brain Sciences Group Affiliation : Methods and Development Group Brain Networks His research emphasizes: Electric field modeling for precise TMS dosing State-dependent network adaptations Motor cortex mapping using multichannel TMS Neuro-cardiac interactions during brain stimulation Causal connectivity in language networks Recent publications highlight methodological advancements in TMS, including coil positioning accuracy and field distortion modeling, alongside applications in cognitive domains like memory suppression and sentence processing. He actively develops open-source tools for TMS optimization, such as magicPy and pyNIBS.

Nathalie ViartView profile

Professor

• Functional Oxides
• Thin Film Materials
• Magnetoelectric Materials
• +5 more

Nathalie Viart serves as Professor of Inorganic Materials Chemistry at the European School of Chemistry, Polymers and Materials of Strasbourg (ECPM), University of Strasbourg, conducting research at the Institute of Physics and Chemistry of Materials of Strasbourg (IPCMS). Her work bridges fundamental materials science with spintronic applications through advanced oxide thin-film engineering. Her academic foundation includes: PhD in Chemistry (1996) from University of Strasbourg on “Elaboration by the sol-gel process of silica / iron oxides magnetic nanocomposites” (Supervisors: Pr. Jean Guille, Dr. J.-L. Rehspringer) Accreditation to supervise research (2005) for “Composite materials with magnetic and/or electric properties: from powder to thin films” (Supervisor: Dr. G. Pourroy) OXSEN Fellowship at Oxford University (1996-1997) studying “Introduction of oxides in magnetoresistive devices” (Supervisor: Dr. J. F. Gregg) Professor Viart’s research centers on magnetoelectric oxide thin films , with pioneering work on infinite-layer nickelates for superconductivity and frustrated spinel systems (CoFe 2 O 4 , FeV 2 O 4 , Ga 2-x Fe x O 3 ). Leading the “Magnetoelectric Oxides for Spintronics” (MISSION) project, she investigates how crystallographic distortions, cation distributions, and capping layers tune electronic/magnetic properties. Her methodologies integrate pulsed laser deposition with synchrotron-based characterization (resonant X-ray scattering, magnetic dichroism) to decode structure-property relationships in complex oxides. Analysis of her 15 most recent publications reveals three dominant trends: (1) Breakthrough studies on nickelate superconductors (PrNiO 2 , NdNiO 2 ), particularly capping-layer effects on charge/spin order; (2) Engineering of magnetoelectric spinels with tailored cation distributions for room-temperature functionality; (3) Development of advanced characterization tools like inserexs software for X-ray scattering. These efforts consistently target materials for next-generation spintronic and multiferroic devices. Her scientific recognition includes: Fellowship in the Oxide Spin Electronics (OXSEN) European Training Network Professor Viart actively secures competitive funding for oxide materials research, evidenced by her leadership in the MISSION project and extensive collaborations across European institutions (Oxford, Ghent, Barcelona). Her publications demonstrate frequent co-authorship with instrumentation specialists and theorists, reflecting interdisciplinary grant-supported work. While specific student supervision isn’t detailed in source materials, her accreditation to supervise research and role in training postdocs through IPCMS projects indicate significant mentorship contributions. Based at IPCMS’s state-of-the-art facilities in Strasbourg, she collaborates with the “Magnetism and Multiferroics” team and contributes to ECPM’s materials science curriculum. Her laboratory specializes in thin-film synthesis (pulsed laser deposition) and synchrotron-based characterization, with ongoing projects exploring nickelate membranes and spin-orbit coupling in gallium ferrites.

Dirk TimmermannView profile

Academic

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +3 more

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.