Find Academic Supervisors

• Process Management
• Business Process Optimization
• Agile Methodologies
• +3 more

Professor Matthias Lederer serves as a faculty member at the Weiden Business School of Ostbayerische Technical University Amberg-Weiden, specializing in Business Informatics with a focus on Process Management. His academic position is complemented by extensive industry experience across multiple sectors including IT services, manufacturing, and consulting. Dr. Lederer's research spans four interconnected domains: process analysis and optimization, IT process management, agile process transformation, and didactics for process digitization. His work bridges theoretical frameworks with practical applications, particularly in business process management (BPM), digital transformation, and the integration of agile methodologies into organizational structures. His research demonstrates a clear trajectory toward increasingly sophisticated applications of data science and artificial intelligence in process optimization. Analysis of his recent publications reveals a strong focus on practical implementations of business process management, with particular emphasis on agile transformations, data-driven process design, and the application of AI in business contexts. His work consistently addresses the intersection of academic research and industry practice, with publications appearing in both academic journals and professional conference proceedings. The research demonstrates growing attention to digital platforms, smart manufacturing applications, and sustainable business practices. His scientific recognition includes: Best Program Director award from ISM International School of Management Project Award 'Innovative LernOrte' from OTH Award for Good Teaching from the Bavarian State Ministry Best Paper Award at the 2014 International Conference on Information Systems Multiple professional certifications including Lean Six Sigma Black Belt and OMG-Certified Expert in Business Process Management Professor Lederer has developed significant academic leadership through his role as Chairman of the Institute of Innovative Process Management. His teaching approach integrates practice-integrated methodologies, reflecting his belief in connecting academic concepts with real-world applications. His extensive consulting background with organizations like REHAU AG + Co. and the Bavarian Ministry of Justice informs his academic work and student mentorship.

• Microsystems Technology
• MEMS (Micro-Electro-Mechanical Systems)
• Terahertz Technology
• +3 more

Prof. Dr.-Ing. Martin Hoffmann is a Professor of Microsystems Technology at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. His academic career began at the University of Dortmund, where he earned his doctorate in high-frequency technology and later habilitated in microsystems technology (2003). He held roles as a private lecturer and industry researcher before becoming a university professor at TU Ilmenau (2006). He joined Ruhr University in 2017, specializing in cutting-edge microsystems research. His research focuses on MEMS, THz technology, microactuators, and nanoimprint lithography. Key projects include cooperative microactuator systems, THz biosensors, and energy-autonomous sensors. He collaborates with institutions like TU Ilmenau, Purdue University, and Nagoya University through international programs like Double Degree and Erasmus. His work spans academic advising, grants, and industry partnerships (e.g., HL Planartechnik GmbH, Silicon Manufacturing Itzehoe GmbH). Notable contributions include silicon grass nanostructuring, palladium-based gas sensors, and wafer-scale MoS₂ deposition. His lab develops micromechanical systems for biomedical, environmental, and defense applications.

• Network and system measurements
• Performance analysis
• Security
• +12 more

Simone Ferlin is an Adjunct Senior Lecturer at Karlstad University working with 5G and Internet evolution. She completed her PhD in computer science in 2017 at the Simula Research Lab and Universitetet i Oslo under the supervision of Dr. Ozgu Alay and Prof. Michael Welzl. Her PhD dissertation focused on increasing robustness in multipath transport with MPTCP. Dr. Ferlin's educational background includes a PhD in Computer Science from the Simula Research Lab and Universitetet i Oslo (2017). Her doctoral research centered on enhancing robustness in multipath transport protocols, specifically focusing on MPTCP (Multipath TCP). She also completed undergraduate work that contributed to a book project with Prof. Friedrich Oehme on electronics and circuit technology. Dr. Ferlin's research spans multiple domains at the intersection of networking, systems, and performance engineering. Her primary interests include network and system measurements, performance analysis, security, and congestion control. She investigates how networks like the Internet evolve, examining technology development, adoption patterns, and their impacts on various entities. Additionally, she explores ways to harmonize security and privacy while making them more usable and assessable. Her work particularly focuses on transport layer and multipath transport protocols, examining their performance and security aspects. She also investigates application and transport layer performance, automation, and monitoring. Her research extends to network programming in both Linux kernel and user space, mobile broadband networks from 2G to 5G, and their intersection with the Internet. She is deeply engaged in observability, distributed and system performance monitoring, and automation. Analysis of Dr. Ferlin's recent publications reveals a strong focus on next-generation networking technologies. Her work spans multiple domains including 5G/6G networks, transport protocols (particularly QUIC and MPTCP), network virtualization, container orchestration, and the application of machine learning to networking problems. She has increasingly incorporated large language models into network configuration and automation research. Her publications demonstrate a consistent emphasis on performance measurement, optimization, and security across diverse networking environments from the edge to the cloud. Dr. Ferlin has received notable recognition for her research contributions: Best paper award at IEEE ICIN'21 for 'Learning-based Incast Performance Inference in Software-Defined Data Centers' Applied Networking Research Prize (ANRP)'25 winner for 'NetConfEval: Can LLMs Facilitate Network Configuration?' Dr. Ferlin is actively involved in mentoring the next generation of networking researchers. She has co-supervised numerous Master's and PhD students across multiple institutions including Karlstad University, KTH, TU Berlin, University of Oslo, and universities in Brazil. Her students have worked on diverse topics including NAT64 performance comparison, system tracing visualization, network observability, ML applications to multipath transport, FEC integration with QUIC, high-performance networking for 5G, congestion control, shared bottleneck detection, multipath IoT applications, and container runtime performance. She is also involved in several significant research projects including Vinnova's SEMLA (Securing Enterprises via Machine-Learning-based Automation), Horizon Europe's CODECO (Cognitive Decentralised Edge Cloud Orchestration), and the Knowledge Foundation of Sweden's DRIVE (Data-driven Latency-Sensitive Mobile Services for a Digitized Society). Dr. Ferlin serves as Workshop Chair for ACM SIGCOMM '25, is a member of the ACM/IRTF Applied Networking Research Workshop (ANRW) steering committee, and co-chairs the Internet Congestion Control Research Group (ICCRG) at the IRTF. She previously served as Associate Technical Editor for IEEE Communications Magazine and has been active on numerous program committees for major networking conferences including SIGCOMM, CoNEXT, IMC, and PAM.

Nele MentensView profile

Professor

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +12 more

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Wolfgang BlochingerView profile

Professor

• Cloud Computing
• High Performance Computing
• IT Security
• +3 more

Prof. Wolfgang Blochinger is a Professor in the Department of Computer Science at Reutlingen University, specializing in Services Computing and IT Security. He leads teaching programs in Wirtschaftsinformatik (Business Informatics) at both Bachelor and Master levels, focusing on foundational topics such as Programming Basics, Operating Systems, IT Security, Cloud Computing, and Big Data Technologies. His research emphasizes Cloud Computing and High Performance Computing, particularly in elasticity control, parallel processing, and cloud resource optimization. His research projects include developing elastic parallel systems for HPC applications, cloud migration strategies, and automated cloud service generation. Notable contributions involve frameworks like TASKWORK for elastic task parallelism and the Elasticity Description Language for cloud applications. He has published extensively on serverless computing, cost-efficient cloud resource utilization, and container-based isolation techniques. Prof. Blochinger collaborates with industry partners through the university's labs, including the AI-Reallabor AIDA and Cloud Lab. His work bridges academia and industry, addressing real-world challenges in distributed systems and cloud infrastructure. Current research trends focus on self-tuning cloud services and adaptive parallel algorithms for scalable computing environments.

Maurits HaverkortView profile

Professor

• Strongly Correlated Electron Systems
• Quantum Many-Body Physics
• X-ray Spectroscopy
• +6 more

Maurits Haverkort is a Professor at the Institute for Theoretical Physics, Heidelberg University (Germany). His research focuses on quantum many-body systems , strongly correlated electrons , and X-ray spectroscopy of complex materials under strong fields. University of Cologne (PhD in Physics, 2005) University of Groningen (M.Sc. in Physics, 2002) Research Interests : He investigates orbital and magnetic properties in heavy fermion systems , actinide materials , and correlated oxides using resonant inelastic X-ray scattering (RIXS) , ARPES , and computational tools like Quanty . His work spans crystal field theory , spin-orbit coupling , and ultrafast electron dynamics . Scientific Awards & Activities : 2018 – Editorial Board Member, Physical Review Letters 2017 – Beam Time Allocation Panel, ESRF Grenoble 2016–2018 – Swedish Research Council Panel NT-4 2012–2016 – Scientific Selection Panel, Helmholtz-Zentrum Berlin Recent Publications highlight 5f electron counting , photon-modulated bonding , and precision neutrino mass experiments , reflecting his expertise in quantum materials and advanced spectroscopy .

Nico PalleitView profile

Researcher

• MIMO Communication Systems
• Channel Estimation
• Signal Processing
• +3 more

Dr.-Ing. Nico Palleit is affiliated with the University of Rostock's Institute of Communications Engineering, part of the Faculty of Computer Science and Electrical Engineering. His research focuses on MIMO (Multiple-Input Multiple-Output) systems, channel estimation, and prediction techniques to enhance spectral efficiency. He holds a PhD titled Channel Prediction in Multi-Antenna Systems (2011) and has contributed to advancements in MIMO channel analysis, including frequency/time prediction and interference management. Research Interests: Nico's work addresses challenges in modern radio transmission systems, emphasizing the development of robust channel estimation strategies. Key areas include MIMO channel modeling, non-line-of-sight (NLOS) positioning, and optimizing transmitter-side channel state information. His research bridges theoretical frameworks with practical implementations in wireless communication systems. Publications Overview: His 15+ publications (2006–2012) span topics like MIMO channel prediction, antenna array design, and interference channel optimization. Recent work emphasizes frequency/time-domain channel prediction and power allocation strategies for maximizing system capacity. These contributions highlight interdisciplinary approaches combining signal processing with electrical engineering principles. Affiliations & Labs: As part of the Radio Communication Research Group, he collaborates on projects within the Institute's advanced wireless communication initiatives. His work supports next-generation radio systems through innovative solutions for MIMO-FDD and OFDM-based architectures.

• Algorithms and Complexity
• Parameterized Algorithms
• Approximation Algorithms
• +7 more

Matthias Mnich is a Professor and Head of the Institute for Algorithms and Complexity at Hamburg University of Technology (TUHH), within the School of Electrical Engineering, Computer Science and Mathematics. He also serves as Deputy Dean International, reflecting his leadership in academic administration and international collaboration. He is a principal investigator at the Helmholtz Graduate School for the Structure of Matter, further emphasizing his interdisciplinary impact. His research lies at the intersection of theoretical computer science and practical algorithm design, focusing on parameterized algorithms , approximation algorithms , combinatorial optimization , scheduling , and algorithmic game theory . His work often bridges theoretical guarantees with real-world applications in energy systems, quantum computing, and logistics. The recent publications (2023–2025) highlight his sustained excellence in top-tier venues such as FOCS, ICALP, ESA, STACS, and journals like Mathematical Programming and ACM Transactions on Algorithms . These works explore foundational problems in vector bin packing , integer programming , graph algorithms , and kernelization , while also applying algorithmic techniques to microgrid energy optimization and quantum algorithm engineering . He is deeply embedded in the theoretical computer science community, having served on program committees of major conferences including: STACS 2023 ESA 2024 FOCS 2023 ICALP 2024 IJCAI 2019–2025 AAAI 2018 SWAT 2018 He has successfully supervised several PhD students to completion, including Matthias Kaul , Roland Vincze , and Alexander Göke , many of whom have taken postdoctoral positions at institutions like the University of Bonn and University of Augsburg. His current research projects include PATTERN (2025–2031) , Hamburg Quantum Computing (2024–2029) , and Kernelization for Big Data , indicating long-term funding and strategic research directions. He leads the Institute for Algorithms and Complexity (E-11) , fostering a research environment focused on high-impact algorithmic research.

Matthias HellerView profile

Professor

• Flight Mechanics
• Flight Control Systems
• Aerospace Engineering
• +3 more

Matthias Heller is a Professor at Technische Universität München (TUM) and holds the title of Honorary Professor for Highly Augmented Aircraft Systems. He is affiliated with the Department of Flight Mechanics & Performance and has been a Rudolf Diesel Industry Fellow at TUM-IAS since 2010. His research focuses on flight dynamics, robust control systems, and handling qualities analysis for advanced aircraft configurations. Heller has extensive industry experience with Airbus Defence & Space, where he contributed to flight control system development and stability analysis of hypersonic vehicles. Education: 1987–1992: Aerospace Engineering, TUM (Diplom Ingenieur) 1999: Dr.-Ing. (summa cum laude) from TUM, Dissertation: “Analysis and Robust Control of the Lateral Dynamics of Hypersonic Vehicles” Research Interests: Flight dynamics modeling & simulation Robust flight control system design Pilot-in-the-loop oscillation (PIO) prevention Handling qualities assessment for autonomous systems Stability analysis of innovative aircraft configurations Key Achievements: Willy Messerschmitt Prize (2001) for contributions to flight dynamics research Founder of the Focus Group “Aircraft Stability and Control” at TUM-IAS Leading work on UAV control systems and hybrid flight control architectures Labs & Collaborations: Active in the Safe Adaptive Dependable Aerospace Systems (SADAS) Focus Group, focusing on dynamics and control of autonomous flight systems. Previously led the Aircraft Stability and Control group.

Athanasios AndreouView profile

Researcher

• AI Ethics
• Cybersecurity
• Data Privacy
• +3 more

Athanasios (Thanos) Andreou is a Postdoctoral Researcher at the NYU Tandon School of Engineering under Damon McCoy's team. He holds a PhD from Sorbonne Université (conducted at EURECOM), supervised by Patrick Loiseau and Oana Goga, and a Diploma (5-year) in Electrical and Computer Engineering from NTUA. His research focuses on AI ethics, cybersecurity, privacy, and e-crime, with a particular emphasis on auditing social media advertising ecosystems and transparency mechanisms. His academic journey includes a MSc in Communications & Computer Security from EURECOM. Key research interests span internet measurements, transparency in digital advertising, and mitigating privacy risks in social platforms. Notable contributions include developing the Facebook Ads Monitor tool and investigating privacy vulnerabilities in data brokers' interfaces. Publications: Over a decade of work, his publications address critical issues such as ad transparency limitations, privacy risks in Facebook targeting, and identity disclosure risks in multi-profile user scenarios. Awards: Winner of the 2020 CNIL-Inria Award, runner-up for the Caspar Bowden PET Award, and recipient of best paper runner-up at ASONAM 2017. His work bridges social media analysis with practical tools like AdAnalyst, aiming to enhance user awareness of targeted advertising practices. Current affiliations include NYU Tandon, with prior involvement at EURECOM and Sorbonne Université.

Andreas StrohmayerView profile

Professor

• Aircraft Design
• Electric and Hybrid-Electric Propulsion
• Lightweight Construction
• +5 more

Andreas Strohmayer is a Professor and Managing Director of the Institute of Aircraft Design at the University of Stuttgart, leading research in aircraft design, electric/hybrid propulsion, and lightweight construction. His work focuses on sustainable aviation solutions, including electric aerotow systems, hydrogen tank integration, and hybrid-electric regional aircraft. He previously held senior industry roles at Grob-Werke, Sky Aircraft, and SST Flugtechnik before joining academia in 2015. Education & Career: 1989–1995: Studied Aerospace Engineering at TU Munich 1995–2002: Research Assistant at TU Munich's Aerospace Chair 2002–2009: Managing Director of Grob Aerospace GmbH 2009–2013: Deputy Director at Sky Aircraft (Metz) 2013–2015: Vice President at SST Flugtechnik GmbH 2015–Present: Full Professor at University of Stuttgart Research Focus: Electric and hybrid-electric propulsion systems Lightweight structural design and simulation Flight testing of demonstrators like the e-Genius-Mod Hydrogen storage integration in aircraft fuselages Aerodynamic optimization and wing tip propulsion Open-source tools for aircraft design (SUAVE) Recent Projects: Development of the e-Genius-Mod for electric aerotow and autonomous flight Hydrogen tank modeling for zero-emission aviation FUTPRINT50 initiative for 50-seat regional aircraft sustainability Investigation of distributed electric propulsion systems Academic Contributions: Over 50 peer-reviewed publications since 2015 Active in industry-academia collaborations (EASN, European projects) Supervisor of numerous master's and Ph.D. students Teaching courses on aircraft design and propulsion systems

• Answer Set Programming
• Artificial Intelligence
• Logic Programming
• +4 more

Torsten Schaub is a Professor at the Institute of Computer Science , University of Potsdam. His research focuses on Answer Set Programming (ASP) , constraint solving, temporal reasoning, and combinatorial optimization, with applications in multi-agent pathfinding, product configuration, and course timetabling. Key contributions include ASP-based tools for industrial-scale optimization problems, metric temporal logic implementations, and frameworks for dynamic equilibrium logic. Recent work explores efficient design space exploration, stream reasoning, and multi-shot ASP solving for complex domains. His publications emphasize hybrid ASP systems , integrating constraints and temporal logic, with co-authors across Europe and Asia. He actively develops tools like clingo and Clingraph for practical ASP applications in logistics, bioinformatics, and robotics. The articles reveal a trend toward multi-agent systems (e.g., pathfinding algorithms) and temporal extensions in ASP, combining formal logic with real-world problem-solving. Sub-fields include constraint satisfaction, logical abduction, and declarative modeling for optimization tasks.

Benjamin SturmView profile

Research Fellow

• Distributed Ledger Technology
• Blockchain Systems
• Design Science Research
• +4 more

Benjamin Sturm is a postdoctoral researcher at the Chair of Information Infrastructures at the Technical University of Munich . His work focuses on Distributed Ledger Technology (DLT) , blockchain systems , and design science research . He has contributed to projects like COOLedger (DLT configuration analysis) and BISE Student (open access thesis platform using blockchain). Sturm’s research investigates security vulnerabilities in DLT , autonomous agent collaboration , and systematic information retrieval frameworks . His work on DLT design principles and configuration trade-offs has been published in top conferences like ICIS and HICSS . He has developed tools for transparent academic publishing using the bloxberg blockchain and IPFS for decentralized storage. Key publication trends include DLT security , blockchain configuration challenges , and methodological innovations in design science research . He collaborates with Prof. Ali Sunyaev and researchers like Niclas Kannengießer on DLT applications in cloud computing, autonomous driving, and academic infrastructure. Current projects focus on decentralized knowledge management and robustness in open multi-agent systems .

Marika KarbsteinView profile

Researcher

• Operations Research
• Mathematical Optimization
• Public Transport Planning
• +3 more

Dr. Marika Karbstein is a Researcher at the Zuse Institute Berlin (ZIB), where she has been employed since April 2006. Affiliated with the DFG Research Center Matheon "Mathematics for key technologies" from 2006-2014, she earned her doctoral degree in Mathematics from Technische Universität Berlin in 2013. Her work bridges theoretical optimization and practical public transport applications. Her academic background includes: 1999-2005: Studies of Applied Mathematics (Wirtschaftsmathematik) at Technische Universität Berlin 2003-2006: Student assistant at Konrad-Zuse-Zentrum Berlin 2013: Doctoral degree in Mathematics (Dr. rer. nat), Technische Universität Berlin Dr. Karbstein specializes in mathematical optimization for public transport systems, focusing on strategic planning, service design, and passenger behavior modeling. Her research integrates timetabling, line planning, and passenger routing through advanced integer programming and network optimization techniques. She develops practical solutions for infrastructure design, crew scheduling, and fare planning, emphasizing real-world applicability in urban transport networks. Her methodology combines theoretical rigor with implementation-focused approaches to improve system efficiency and user experience. Her publication record shows consistent innovation in periodic timetable optimization and integrated transport modeling. Early work established foundations in Steiner tree problems for transport networks, evolving into sophisticated frameworks for passenger routing and line planning. Recent contributions emphasize direct connections and transfer minimization, reflecting industry needs for seamless passenger journeys. The research demonstrates strong interdisciplinary connections between operations research, computer science, and transportation engineering. Her scientific recognition includes: Diploma Thesis Award of the German Operations Research Society (2006) Runner-Up for Richard-Rado-Prize (2014) Dissertation Award of German Operations Research Society (2014) VBKI Wissenschaftspreis (2014) Tucker Prize Finalist (2015) Best Paper Award at ATMOS 2013 As a core member of the DFG Research Center Matheon, Dr. Karbstein contributed to major collaborative projects funded by the German Research Foundation. Her work with Ralf Borndörfer at ZIB has led to practical implementations including Potsdam's 2010 line plan optimization. While specific grants aren't detailed, her research has been sustained through institutional support at ZIB and Matheon's interdisciplinary framework. She actively collaborates with transport operators to translate theoretical advances into operational improvements. Dr. Karbstein operates within ZIB's renowned applied mathematics environment, leveraging its high-performance computing resources. Her work extends through Matheon's consortium connecting Berlin's mathematics community. Current research focuses on integrating passenger behavior models with real-time scheduling systems, advancing the frontier of data-driven transport optimization.

• Energy Systems Modeling
• Geothermal Energy
• Optimization Algorithms
• +3 more

Smajil Halilovic is a Researcher at the Chair of Renewable and Sustainable Energy Systems at the Technical University of Munich . His work focuses on energy systems modeling and optimization, particularly for geothermal and renewable energy integration. Current projects include Geo.KW , a coupled hydrothermal and infrastructure model for urban-scale geothermal use Research emphasizes optimization techniques for groundwater heat pump systems Key contributions in PDE-constrained optimization and thermal resource assessment Halilovic has published extensively in Renewable Energy and Energy Conversion and Management , with recent work on spatial optimization of geothermal systems and urban heat planning. His collaborations with Prof. Thomas Hamacher and Kai Zosseder highlight his role in advancing sustainable energy infrastructure. He teaches Mathematical Modeling of Complex Systems in the Energy Field and contributes to interdisciplinary projects like the Interdisciplinary project internship: Concept development of a renewable energy system in a developing country . His publications demonstrate expertise in geothermal integration, optimization algorithms, and urban energy modeling.