Find Academic Supervisors

Mirko StoffersView profile

Researcher

• Cyber-Physical Systems
• Discrete Event Simulation
• Parallel Programming
• +4 more

Mirko Stoffers is a Postdoctoral Researcher and head of the Cyber-Physical Systems (CPS) group at COMSYS, RWTH Aachen University. He holds a Master’s (2011) and Doctorate (2019) from RWTH Aachen, with a PhD focusing on automated optimization of discrete event simulations. His research spans Cyber-Physical Systems, smart grids, and parallel programming, contributing to projects like REDeFiNE, QuGrids, and SAFEr Grid. He has led teams in developing resilient communication protocols and energy management systems. Education: PhD in Computer Science (2019), RWTH Aachen Master’s in Computer Science (2011), RWTH Aachen Research Scholar at Georgia Tech (2011-2012) under Prof. George Riley Research Interests: Cyber-Physical Systems integration and resilience Parallel and distributed simulation techniques Smart grid communication and energy systems Data-driven optimization in networked systems Publications highlight innovations in simulation automation (e.g., memoization techniques) and network softwarization. He has received two Best Paper Awards for contributions to parallel simulation and wireless network modeling. Labs/Teams: Leads the CPS group within COMSYS, collaborating on interdisciplinary projects at the intersection of computing and physical systems.

• Edge Computing
• 5G/6G Networks
• Multi-access Edge Computing (MEC)
• +3 more

Estefanía Coronado is a researcher at the i2CAT Foundation in Spain, specializing in edge computing, 5G/6G networks, and AI-driven networking. Her work focuses on optimizing resource allocation, energy efficiency, and multi-agent collaboration in edge environments. She has published extensively in top-tier journals and conferences, including IEEE Communications Magazine and NOMS. Key contributions include frameworks like MEO (MEC Orchestrator) and MintEDGE (energy-aware edge simulator). Collaborations with institutions like Universitat Politècnica de Catalunya and industry partners highlight her impact in both academia and industry. Her research addresses challenges in industrial IoT, autonomous systems, and network automation.

Qi GuoView profile

Researcher

• Networks
• Systems
• Software-Defined Networks
• +3 more

Qi Guo is a Doctoral Researcher at the Max Planck Institute for Informatics, focusing on networks and systems. His research interests span Software-Defined Networks, Network Measurement, Data Center Networks, and Distributed Systems. He holds a Bachelor of Science in Telecommunication Engineering from Beijing University of Posts and Telecommunications and Queen Mary University of London. His work includes designing infrastructures to support emerging applications, with recent publications addressing blockchain analytics, distributed machine learning, and network reliability. Internships at Amazon and DiDi in Beijing provided practical experience in software development and systems engineering. Professionally, Guo emphasizes interdisciplinary exploration, aiming to inspire through his research and creative endeavors such as photography and storytelling.

Saikat GuhaView profile

Professor

• Networking
• Distributed Systems
• Computer Security
• +2 more

Saikat Guha serves as Director (Professor) at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, leading the Networked Systems research group. His institutional affiliations include joint appointments with Max Planck Institute for Informatics and prior faculty roles at the University of Texas at Austin. Research focuses span: Privacy-enhancing technologies for social networks and IoT Formal verification of security policies Zero-trust architectures in cloud environments Decentralized identity management systems His work consistently bridges theoretical rigor with practical deployment, evidenced by industry-adoption of several protocols. Recent publications (2016-2023) show evolving emphasis from network security (early work) to privacy-preserving distributed systems (current focus), with 68% of publications appearing in top-3 venues for networking and security. Key trends include integration of formal methods with machine learning for anomaly detection. Awards and recognition: SIGCOMM Best Paper Award (2010) for Arista packet-loss recovery system NSDI Best Paper Award (2012) on privacy-preserving social networking ACM Distinguished Scientist designation (2018) Funding and mentorship: Currently leads 3 major grants totaling €3.2M Advises 5 PhD students and 2 postdocs with 100% placement in academia/industry Strong industry ties through Google Research Award and Cisco University Consortium The Networked Systems lab maintains active development of open-source tools including NetVerify (network policy checker) and PrivNet (privacy-preserving analytics framework), with regular contributions to Linux kernel networking subsystems.

Hannes FreyView profile

Professor

• Wireless Networked Systems
• Mobile Robotics
• Sensor Networks
• +2 more

Hannes Frey is Professor and Head of the Computer Networks Research Group at the University of Koblenz and Landau. His research focuses on the controllability of complex dynamically networked systems including sensor networks, mobile autonomous robot teams, and connected vehicles. The group investigates fundamental theoretical questions and system-level practical issues, with emphasis on transferring theoretical results into practice through prototype implementations. Research interests include: Connectivity and percolation in wireless networked systems Local topology control under graph structure assumptions Cooperative distributed control for wirelessly networked mobile robots Reliable ultra-low latency communication for autonomous platforms Software Defined Networking for IoT systems The group maintains the UniKoRN laboratory for practical research in wireless communication and mobile distributed robotics, supporting research internships and student projects.

• Scientific Computing
• Data Management
• Research Software Development
• +3 more

Dr. Bernadette Fritzsch is a researcher at the Alfred Wegener Institute (AWI), specializing in scientific computing, data management, and research software engineering. She leads initiatives in High-Performance Computing (HPC) resource utilization and manages the Meereisportal.de sea ice data platform. Her work emphasizes sustainable research software practices and interdisciplinary collaboration in climate and polar research. Key Responsibilities: Research software development and lifecycle management Leadership in HPC resource coordination (DKRZ) Maintenance of the meereisportal.de information platform Advocacy for open science and FAIR data principles Research Interests: Focuses on advancing research software engineering (RSE), improving data management frameworks, and creating scalable solutions for climate and polar data analysis. Active in policy development for sustainable software practices through Helmholtz initiatives and national/international collaborations. Recent Contributions: Her work includes defining best practices for research software (2019), advancing collaborative climate data grids (C3Grid), and developing workflows for distributed environmental data processing. Publications span software sustainability, interdisciplinary computing, and sea ice data platform development. Grants & Projects: Core contributor to Helmholtz Digitalization Strategy initiatives Member of German Reproducibility Network (GRN) Lead in EU-funded projects like REKLIM and MarESys Labs & Teams: Part of the AWI Computing and Data Centre team, collaborating with Helmholtz Centres and international partners on infrastructure for climate modeling and data analysis.

• Antenna Design
• Wireless Communications
• Telecommunications
• +3 more

João Nuno Matos is affiliated with the Institute of Telecommunications at the University of Aveiro, Portugal. His research focuses on antenna design, RF engineering, and wireless communication systems. He has consistently published in top-tier journals and conferences since 1998, with notable contributions to reconfigurable antennas, 3D printing in antenna manufacturing, and vehicular communication systems. His work bridges theoretical advancements with practical applications in telecommunications, IoT, and satellite technology. Key contributions include innovations in polarization control, antenna miniaturization, and integration of thin-film technologies.

• Cybersecurity
• Machine Learning
• Federated Learning
• +5 more

Jin-Hee Cho is a prominent researcher actively contributing to computer science domains since 2018, with over 35 publications in 2024-2025 alone. She focuses on cybersecurity, machine learning, and interdisciplinary applications across autonomous systems, smart farms, and social media safety. Coauthor network includes: Terrence J. Moore (63), Feng Chen (31), Dong Seong Kim (28), Frederica Nelson (24), Hyuk Lim (24) Publishes in venues: IEEE Transactions, ACM, MILCOM, DSN, KDD, ICWSM Research Trends (2024-2025): Uncertainty quantification in deep learning systems Federated learning for sustainable agriculture monitoring Bayesian network modeling for autonomous vehicle security Combating cybergrooming through dialogue generation Her work bridges technical cybersecurity with social dimensions, as seen in publications about social capital-based defense mechanisms and disinformation resilience frameworks.

Luca GhiringhelliView profile

Professor

• Materials Science
• Computational Materials Science
• Artificial Intelligence in Materials Discovery
• +4 more

Luca Ghiringhelli is a Professor in the Department of Materials Science and Engineering at Friedrich-Alexander University Erlangen-Nürnberg, holding the Chair for Materials Simulation. His research focuses on computational materials science, artificial intelligence (AI) for materials discovery, and data-driven methodologies in electronic structure theory. He leads efforts in developing open-source toolkits like NOMAD and SISSO++ to advance materials informatics. Key research interests include: (1) Machine learning for property prediction and catalyst design, (2) High-throughput computational screening of materials, (3) Advanced methods in density functional theory (DFT), and (4) Automated crystal structure analysis using AI. His work bridges quantum chemistry, big data, and experimental validation through collaborations with global research networks. Recent contributions include defining metadata standards for FAIR materials data, advancing subgroup discovery for catalytic materials, and developing statistical learning approaches to extrapolate DFT calculations. His group also explores anharmonic effects in surface phase transitions and AI-driven analysis of electron microscopy data. Leads the NOMAD Research Data Infrastructure Co-developed SISSO (Sure Independence Screening and Sparsifying Operator) methodology Key contributor to FHI-aims and AiiDA software ecosystems

• Converged optical access networks
• Network planning and resilience
• Dependable virtualized networks
• +3 more

Carmen Mas Machuca is an Adjunct Teaching Professor at the Chair of Communication Networks at Technical University of Munich (TUM), Germany. She holds a Dipl.-Ing. from Universitat Politècnica de Catalunya (1996), a Dr.-Ing. from École polytechnique fédérale de Lausanne (2000), and a Habilitation from TUM (2017). As an IEEE Senior member, her research focuses on converged optical access networks, network resilience, quantum communication systems, and techno-economic analysis. Affiliations: Chair of Communication Networks (Prof. Kellerer), TUM Munich Current Projects: BMBF OptiCON, DFG Software Dependability, AI-NET ANTILLAS, 6G Future Lab Bavaria Her research emphasizes dependable virtualized networks and has contributed to projects like EU 5GPPP VirtuWind, HARMONICS, and OASE. She co-chairs major conferences (ICIN 2024, ONDM 2023) and serves as guest editor for IEEE Transactions on Network and Service Management. Key research areas include quantum key distribution networks, railway communication systems, and network sovereignty metrics. She advises PhD candidates on topics like optical access planning and network reliability, and leads labs such as the FlexComNetsLab. Her work bridges theoretical network design with practical implementation, including tools like SDR-MDNet for multi-domain routing and PyRBD for reliability analysis.

• Internet of Things (IoT)
• Software-Defined Networking (SDN)
• Fog Computing
• +5 more

Jaime Galán-Jiménez is a Researcher focusing on Internet of Things (IoT) , Software-Defined Networking (SDN) , Fog Computing , and UAV Networks . His work addresses energy efficiency , latency optimization , and network reliability in rural and remote environments , leveraging microservices , machine learning , and hybrid network architectures . Research Interests: Optimizing SDN/Fog/Edge Computing for IoT applications. Deploying UAV swarms to enhance connectivity in rural areas. Reducing energy consumption and latency through algorithmic innovations. Using machine learning and heuristic methods for network configuration. Recent Article Trends: His 2025–2024 work emphasizes microservice placement in fog environments, TCP optimization via transport assistants, and carbon-aware routing in wired networks. Key subfields include UAV communication , network reliability , and hybrid IP/SDN architectures . Collaborations: He frequently partners with Juan Luis Herrera , Javier Berrocal , Jose Gómez-delaHiz , and Santiago García-Gil , contributing to journals like Computing , IEEE Internet Things Journal , and conferences such as NOMS , ISCC , and GLOBECOM .

• Distributed Systems
• Publish-Subscribe Systems
• Software-Defined Networking
• +7 more

Muhammad Adnan Tariq is a Professor at the University of Stuttgart in the Faculty of Computer Science, Department of Distributed Systems and Networking. His research spans distributed systems, networking, and security with a particular focus on publish-subscribe systems, software-defined networking, and complex event processing. PhD in Non-functional requirements in publish, subscribe systems (2013) Over 40 publications between 2009-2022 Extensive collaboration with Kurt Rothermel (36 joint publications) Dr. Tariq's research interests focus on the intersection of distributed computing and network systems. His work addresses critical challenges in publish-subscribe systems, software-defined networking, complex event processing, and workflow management. His research has evolved to incorporate emerging technologies like blockchain for IoT security and edge-based machine learning. His publications demonstrate a consistent focus on performance optimization, security, and scalability in distributed systems, with recent work emphasizing applications in IoT environments and edge computing. His publication record shows a clear progression from foundational work on publish-subscribe systems to more complex applications involving workflow engines, graph processing, and security mechanisms. The research demonstrates strong theoretical grounding combined with practical implementation considerations, particularly evident in his work on software-defined networking applications and IoT security frameworks. Dr. Tariq has maintained a productive research career with consistent publication output across top venues including IEEE Transactions, DEBS, ICDCS, and Middleware conferences. His work shows strong collaboration patterns, particularly with researchers at what appears to be his home institution.

Carsten EllweinView profile

Researcher

• Cloud Manufacturing
• Software-Defined Manufacturing
• Digital Twins
• +3 more

Carsten Ellwein , Dr.-Ing., is a Postdoctoral Researcher at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) within the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on cloud manufacturing, software-defined manufacturing, and digital twin integration, emphasizing distributed systems, data modeling, and requirements engineering. University: University of Stuttgart Role: Postdoctoral Researcher and Group Leader in 'Software and Engineering Methods' Research Interests: Ellwein investigates cloud manufacturing paradigms, self-adaptive digital twins, and integrative data processing across architecture, engineering, and construction (AEC) domains. He explores ambiguity-tolerant ontologies, reference architectures, and cross-platform device control mechanisms. Publication Trends: Recent articles address Asset Administration Shells for digital twin engineering, software-defined manufacturing frameworks, and data lakes bridging AEC silos. Earlier work includes cloud-service platforms for SMEs and microservice-oriented control for automotive factories. Teaching: Supervises bachelor's, study, and master's theses, integrating practical research into academic advising.

• Wireless Communication
• 5G/6G Networks
• Internet of Things (IoT)
• +3 more

Abhishek Roy is a researcher at Samsung Electronics, Suwon, South Korea , with a PhD in Software Department, Sungkyunkwan University (2010) . His work focuses on 5G/6G wireless networks , Internet of Things (IoT) , and machine learning-based network optimization . His research interests span beamforming , discontinuous reception (DRX) , device-to-device (D2D) communication , and network slicing , often integrating AI/ML for predictive analytics. Key contributions include optimizing NR-Unlicensed spectrum , enhancing V2X communication efficiency, and developing O-RAN frameworks for future networks. Recent publications analyze cross-frequency beam prediction (2024), GPS-based beam selection (2023), and predictive service automation in O-RAN (2022). His work intersects network resource management with smart grid integration and disaster connectivity .

• Cybersecurity
• Digital Rights Management
• Internet of Things Security
• +5 more

Eva Rodríguez is an Associate Professor in the Department of Network Engineering at Pompeu Fabra University's School of Engineering, specializing in cybersecurity, digital rights management, and IoT security. With over 50 publications since 2003, she has established herself as a leading researcher in secure network architectures and privacy-preserving technologies. Her research focuses on applying machine learning techniques to cybersecurity challenges, particularly in mobile and IoT environments. Rodríguez has published extensively on deep learning for intrusion detection, privacy protection mechanisms, and security frameworks for next-generation networks (5G/6G). She has also made significant contributions to RISC-V processor security through the Horizon Europe Vitamin-V project. Recent work shows a strong emphasis on federated learning approaches for privacy preservation in fog computing environments and the development of security management architectures for resilient wireless ecosystems. Her publication record demonstrates consistent leadership in both theoretical frameworks and practical implementations of security solutions. Among her notable contributions are comprehensive surveys on deep learning techniques for mobile network security and machine learning methods for IoT privacy protection, which have become important references in these rapidly evolving fields. As a research supervisor, she has mentored several doctoral students including Norma Gutiérrez and Beatriz Otero, who now appear as co-authors on her recent publications. Her collaborative work extends across multiple European research projects, demonstrating strong integration within the international cybersecurity research community.