Find Academic Supervisors

• Logistics
• Supply Chain Management
• RFID Technology
• +6 more

Prof. Dr.-Ing. Werner Ullmann is a Professor of Business Administration / Logistics at Berlin University of Technology. He holds leadership positions including President of the university and has served in academic governance roles such as Dean of Department I and Vice Dean. His educational background includes a mechanical engineering degree from Leibniz University of Hanover and a doctorate in engineering focusing on logistical production controlling. Education & Professional Background: Bachelor/Master conversion roles at BHT PhD in engineering from Leibniz University of Hanover (Thesis: "Logistical Production Controlling") Former roles: Management consultant, Director at Baan Company (now infor), Partner at MCS Automotive GmbH Research Interests: RFID applications in logistics (e.g., construction, healthcare, automotive industries) Supply chain optimization and resilience Business process modeling and ERP systems Simulation games for logistics training Articles Trends: His publications span RFID deployment, supply chain management, logistics education, and process optimization. Recent work emphasizes practical applications of RFID in cross-industry contexts and the integration of simulation tools for training. Other Activities: Reviewer for accreditation agencies (ACQUIN, ZEvA) External teaching roles at FOM, HTW Berlin, and FSI BeuthHS Mentor in EXIST startup programs and DAAD research stays Lab/Team Involvement: RFID/EPC Research Lab at Berlin University of Technology Contributions to BMBF-funded projects (e.g., InnoRFID)

Jonas KucklingView profile

Research Fellow

• Artificial Life
• Swarm Robotics
• Artificial Intelligence
• +3 more

Jonas Kuckling is a postdoctoral researcher at the Department of Computer and Information Science, University of Konstanz, and a fellow at the Zukunftskolleg. His research focuses on artificial life and swarm robotics, particularly open-endedness in embodied collectives, integrating disciplines including biology, chemistry, physics, computer science, philosophy, and art. Dr. Kuckling obtained his doctoral degree in April 2023 from the Artificial Intelligence research laboratory (IRIDIA) at the Université Libre de Bruxelles, Belgium. His doctoral work established foundations for his current investigations into emergent collective behaviors in robotic systems. His primary research interests center on artificial life and swarm robotics, with emphasis on open-ended evolution in embodied collectives. He explores how interdisciplinary approaches can generate autonomous systems capable of continuous novelty without external direction, bridging computational models with biological principles of self-organization and adaptation. This work addresses fundamental challenges in scalability, robustness, and emergent complexity in multi-robot systems. Analysis of his recent publications reveals a concentrated focus on automatic modular design of robot swarm control software, particularly through behavior trees and optimization techniques like simulated annealing. His work progresses from theoretical frameworks (e.g., manifestos on off-line design) to practical implementations (AutoMoDe tools), with increasing integration of learning, communication, and edge computing in large-scale swarm deployments. No scientific awards are documented in available sources. Dr. Kuckling currently leads an interdisciplinary research project at the Zukunftskolleg, collaborating with experts in complex systems, artificial life, AI, and robotics to advance open-endedness in embodied collectives. No information is available regarding student advising or specific grant funding beyond his fellowship appointment.

Alexander HaackView profile

Researcher

• Analytical Chemistry
• Mass Spectrometry
• Ion Mobility Spectrometry
• +3 more

Dr. Alexander Haack is a researcher at the Institute of Electrical Engineering and Measurement Technology, Leibniz University Hannover. His work focuses on ion mobility spectrometry (IMS), mass spectrometry, and computational modeling of chemical systems. Key research areas include ion-solvent clustering dynamics, reaction mechanisms in IMS, and the development of advanced detection technologies for chemical and biological agents. He leads the EU-funded TeChBioT project (2022), developing miniaturized GC-IMS instruments for rapid detection of chemical/biological threats. His research integrates theoretical modeling (e.g., MobCal-MPI software) with experimental validation, emphasizing practical applications in environmental and security contexts. Recent publications (2023-2025) address topics like arrival time distributions in reacting systems, fragmentation mechanisms of protonated alcohols, and machine learning approaches to IR spectrum prediction. His work bridges fundamental chemistry with engineering innovations in analytical instrumentation. Research collaborations include institutions like the American Society for Mass Spectrometry (ASMS) and the International Society of Ion Mobility Spectrometry (ISIMS). His methodological contributions advance both theoretical understanding and practical tools for chemical analysis.

• Quantum Optics
• Quantum Sensing
• Atom Interferometry
• +3 more

Dr. Naceur Gaaloul is a Researcher at the Institute of Quantum Optics within the Faculty of Mathematics and Physics at Leibniz University Hannover. His primary research focuses on quantum sensing, atom interferometry, and ultra-cold quantum gases. He is affiliated with the QUEST Leibniz Research School and the Laboratory for Nano and Quantum Engineering, emphasizing interdisciplinary collaboration in quantum technologies. His work spans theoretical and experimental advancements in atom interferometry, including gravitational measurements, quantum metrology, and space-based applications. Notable contributions include the development of long-baseline atom interferometers, Casimir-Polder interaction studies, and precision sensing techniques for gravitational and magnetic fields. Dr. Gaaloul also contributes to space missions like the Bose-Einstein Condensate and Cold Atom Laboratory (BECCAL) and the CARIOQA-PMP quantum accelerometer pathfinder. Research interests include quantum gas manipulation, BEC engineering, and the application of quantum technologies in microgravity environments. His publications highlight innovations in interferometric design, sensor software, and collaborative workshop outcomes for advancing quantum instrumentation.

Felix SchüsselView profile

Researcher

• Multimodal Interaction
• Human-Computer Interaction
• Affective Computing
• +3 more

Dr. Felix Schüssel is a researcher at the University of Ulm, previously serving as a Research Associate. His work focuses on Multimodal Interaction and Affective Computing, with contributions to the Sonderforschungsbereich/Transregio 62 project on companion-technology for cognitive technical systems. He has taught courses such as Ubiquitous Computing , Human-Computer Interaction , and Interaction in Cognitive Technical Systems . His research emphasizes adaptive systems, multimodal fusion, and user-centered design, with over 15 publications since 2011. Notable contributions include works on companion-system architectures, error detection via interaction histories, and affective computing applications. He has supervised numerous theses on topics like emotion-based interaction and multimodal fusion frameworks. Key projects include developing a smart mirror ( Fitmirror ) for wellbeing and exploring VR driving simulations. His work bridges theoretical HCI principles with practical applications in smart environments and assistive technologies. Dr. Schüssel’s publications span journals like i-com and conferences such as HCI International and ACM Multimodal Interaction.

• Edge Computing
• Wireless Networks
• Cognitive Radio Systems
• +3 more

Suzan Bayhan is an academic affiliated with the University of Twente in Enschede, The Netherlands. Her research focuses on edge computing, wireless networks, and cognitive radio systems, with a strong emphasis on energy efficiency and cross-technology communication. She has contributed significantly to the development of strategies for optimizing network performance, resource allocation in edge environments, and interference management in heterogeneous networks. Her work spans theoretical analysis and practical implementations, addressing challenges in cellular networks, federated learning, and smart infrastructure security. Bayhan has collaborated with leading institutions and researchers globally, contributing to conferences like MobiCom and SIGCOMM. Her doctoral studies at Boğaziçi University (Turkey) laid the foundation for her expertise in cognitive radio networks and spectrum management. While her current position isn't explicitly stated, her extensive publication record and academic contributions align with a senior researcher or faculty role. Education: PhD in Electrical and Electronics Engineering, Boğaziçi University, Turkey (2012) Research focus: Spectrum Sharing and Energy Efficiency in Cognitive Radio Networks Research Interests: Edge Computing and Federated Learning Energy-efficient networking strategies Interference mitigation in multi-technology systems Wireless communication protocols Cross-technology communication design Advising & Grants: While specific grants aren't detailed in the provided texts, her involvement in collaborative projects (e.g., EdgeSys, NFDI4DataScience) suggests active participation in funded initiatives. No student advisees are explicitly listed. Labs/Teams: Collaborates with interdisciplinary teams on edge computing and network research, including contributions to platforms like ExEC and Elastic Edge Cloud frameworks.

• Control Systems
• Fault Detection and Diagnosis
• Distributed-Parameter Systems
• +3 more

Professor Fischer is a researcher specializing in control systems and fault diagnosis, focusing on distributed-parameter systems, integral transformations, and trajectory planning methods. His work bridges theoretical advancements with practical applications in engineering disciplines. He has supervised numerous PhD graduates, including Johannes Pfeiffer (2023), Carmen Sippel (2023), Zaid Dhannoon (2022), and others, many of whom entered academia or industry roles post-graduation. Research Interests: Fault detection in hyperbolic/parabolic systems, modulating functions, backstepping control, and MATLAB toolbox development for control problems. Recent Trends: Emphasis on algebraic methods for fault diagnosis, with contributions to structural health monitoring (e.g., Euler-Bernoulli beam analysis) and time-varying hyperbolic systems. His publications since 2016 highlight advancements in fault detection for parabolic and distributed systems, with a 2021 paper introducing the coni MATLAB toolbox for control problem solutions. Advising: 8 PhD graduates listed, with graduation dates ranging from 2016 to 2023. Notable first employments include academic and industrial R&D positions.

• Business Process Management
• Artificial Intelligence
• Computer Science
• +1 more

Fabiana Fournier is an active researcher at IBM Research, Haifa, Israel , focusing on business process management, artificial intelligence, and event-driven systems. Her work bridges theoretical advancements with practical applications in explainable AI, causal process modeling, and blockchain technologies. Key Research Themes: Explainability in business processes, causal dependency discovery, LLM-driven process analysis, and temporal aspects in smart contracts Recent Trends: Publications center on benchmark creation for causal reasoning, monetizing financial sentiment analysis, and unification of process models

Oleg IlievView profile

Professor

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +5 more

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Jürgen RothView profile

Professor

• Mathematics Education
• Teaching-Learning Laboratories
• Digital Tools in Mathematics Instruction
• +5 more

Prof. Dr. Jürgen Roth is a professor of mathematics and its didactics at the Rhineland-Palatinate University of Technology (RPTU) in Landau. He holds a prominent role in the Department of Natural and Environmental Sciences, leading the Mathematics Didactics research group. His research focuses on mathematical conceptualization, teaching-learning laboratories, and the integration of digital tools like GeoGebra in education. Key interests include inquiry-based learning, diagnostic competence development using video vignettes, and functional thinking. He has been recognized with numerous awards, including the Archimedes Prize 2020 for contributions to mathematics education and multiple teaching awards (2015–2024). His work involves initiatives like the MaTeGnu training program and the ViviAn video analysis platform. He leads the Mathematics Laboratory 'Math is more' and collaborates with the ZentrAL Center for extracurricular learning. Roles: Head of Mathematics Didactics Group, Director of Mathematics Laboratory, Member of ZentrAL Management Key Projects: MaTeGnu (2023–2028), LFB-Labs-digital (2023–2025), ViviAn platform Awards: 9 major teaching/research honors since 2007 Roth actively supervises doctoral candidates and has published extensively on functional thinking, digital learning environments, and teacher training. His work bridges theory and practice, emphasizing innovation in STEM education through technology and interdisciplinary approaches.

Ali AghaeifarView profile

Research Fellow

• Magnetic Resonance Imaging
• High-field MRI
• B0 Field Shimming
• +5 more

Dr. Ali Aghaeifar is a Postdoctoral Researcher at the Department for High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics in Tübingen, Germany. His research focuses on developing advanced magnetic resonance imaging techniques, particularly for ultra-high field (9.4T) brain imaging systems. His research interests span multiple domains of MRI physics and engineering, with emphasis on B0 field shimming , motion correction , and computational simulation of MR phenomena. Aghaeifar has developed several open-source software frameworks including SpinWalk for spin dynamics simulation, TurboBloch for Bloch equation solving, and AMoCo for motion correction in MRI. His recent publications demonstrate expertise in optimizing multi-coil shimming systems, with significant improvements over conventional spherical harmonic approaches. His work bridges physics, engineering, and neuroscience to solve practical challenges in high-field MRI. As a software developer, he has created multiple computational tools implemented in C++ with GPU acceleration using CUDA, and provides interfaces for MATLAB and Python users. His Biot-Savart simulator enables precise calculation of magnetic fields from arbitrary coil geometries.

• Stellar Astrophysics
• Extrasolar Planets
• Star Formation
• +3 more

Dr. Roxana-Adela Chira is a Lecturer at Hochschule für Wirtschaft und Gesellschaft in Ludwigshafen and a Data Manager at Intersnack Deutschland SE. She holds a PhD in Astrophysics from the Max Planck Institute for Astronomy (MPIA) and ESO Garching. Her research focuses on star formation in molecular clouds, radiative transfer, and data management methodologies. She has contributed to understanding filament fragmentation and turbulence dynamics in astrophysical contexts. In industry roles, she specializes in data governance, machine learning, and optimizing data architectures for businesses. Education: PhD in Astrophysics (2018, MPIA/ESO), MSc in Astrophysics, BSc in Physics. Previous roles include Data Lead at PAKi Logistics and Software Developer at BARMER. Technical expertise includes Python, cloud architectures, and project management tools like Jira and Confluence. Research interests bridge academic and applied domains: stellar astrophysics, data-driven enterprise solutions, and AI applications in business intelligence.

Aamir AhmadView profile

Professor

• Aerial Robotics
• Multi-Robot Systems
• Deep Learning
• +7 more

Aamir Ahmad is a Tenure-track Professor (Flugrobotik) and Deputy Director (Research) at the Institute of Flight Mechanics and Control, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart. He also leads the Robot Perception Group (RPG) at the Max Planck Institute for Intelligent Systems in Tübingen. His research focuses on aerial robotics, multi-robot systems, deep reinforcement learning, formation control, and perception-driven navigation. He leads the Flight Robotics Group (FRG) and Robot Perception Group (RPG), which are part of the Cyber Valley and IMPRS-IS initiatives. His work includes developing autonomous aerial systems for tasks like motion capture, environmental monitoring, and cooperative target tracking. Key projects include AirCap (aerial human motion capture) and GRADE (generating dynamic environments for robotics). Research interests span reinforcement learning for autonomous systems, SLAM algorithms, and bio-inspired robotics. Notable contributions include autonomous multi-rotor landing on moving platforms, viewpoint-driven airship formations, and synthetic data-driven wildlife tracking. Ahmad has secured grants such as the EU H2020-funded DeepField project. He advises PhD students through the IMPRS-IS program and offers postdoc and research positions. His groups collaborate with institutions globally and engage in open-source software development for robotics.

Eoghan O´ConnellView profile

Researcher

• Data Science
• Data Analysis
• Python development
• +5 more

Eoghan O'Connell serves as a Data Scientist/Postdoctoral Researcher within the Optomechanics group at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany. His work bridges advanced data science techniques with experimental physics, focusing on developing novel data pipelines and biological devices. His research expertise spans Data Science, Machine Learning, and Physics , with particular focus on electron microscopy data analysis, cell mechanics, and RT-DC applications. O'Connell specializes in creating open-source tools for quantifying and visualizing complex physics phenomena at atomic scales, particularly in 2D materials research. His publication record demonstrates a consistent focus on advancing methodologies in electron microscopy data analysis and materials characterization. The trend across his work shows increasing integration of machine learning techniques with traditional physics analysis, particularly in the characterization of 2D materials and domain structures in ferroelectrics. O'Connell's academic journey includes a PhD in Physics from the University of Limerick, Ireland, with dissertation titled "Automated Atomic Resolution Open-Source Analysis of Two-Dimensional Entities." Prior to his current position, he completed an internship at Phillips Healthcare in Eindhoven and served as a Postdoctoral Researcher at the University of Limerick focusing on atomic resolution EM image analysis.

Marcus PirronView profile

Researcher

• Cyber-Physical Systems
• Programming Languages & Verification
• Algorithms & Theory
• +3 more

Marcus Pirron is a Researcher at the Max Planck Institute for Software Systems (MPI-SWS), focusing on research in algorithms, programming languages, and cyber-physical systems. His work spans areas such as robotic systems, autonomous driving, and software verification. He actively contributes to interdisciplinary projects combining hardware and software co-design, formal verification techniques, and safety-critical systems. His research interests include Cyber-Physical Systems , Programming Languages & Verification , Robotics , and Autonomous Driving . Key themes in his publications include the development of testing frameworks for autonomous systems, automated configuration synthesis, and formal methods for robotic interactions. Marcus' recent work emphasizes Paracosm —a framework for testing autonomous driving simulations—and PGCD —a system for robot programming and verification. His articles often address challenges in concurrency, safety, and the integration of geometry and dynamics in robotic applications. Despite his prolific output, no specific awards, grants, or student advisement details are explicitly mentioned in the provided materials.