Find Academic Supervisors

Marc BoxbergView profile

Researcher

• Geophysical Imaging
• Radioactive Waste Disposal
• Ice Data Analysis
• +3 more

Dr. Marc Boxberg is a researcher at RWTH Aachen University's Department of Geophysical Imaging and Process Observation, affiliated with the Faculty of Georesources and Materials Engineering. His work focuses on geophysical imaging, environmental risk assessment for radioactive waste disposal, and cryosphere-related planetary exploration. He leads research into seismic wave propagation, data integration frameworks, and robotic exploration systems. Key research interests include icy moon mission preparation, subglacial access technologies, and data-driven approaches for radioactive waste management. He contributes to interdisciplinary projects like the Ice Data Hub and Cryotwin digital infrastructure. Dr. Boxberg's expertise spans geophysical modeling, mission simulation tools (e.g., NEXD software), and field-testing of cryogenic exploration hardware. His recent publications highlight advancements in multi-physical data fusion, cryobot performance analysis, and uncertainty quantification in waste repository safety. Ongoing work includes astrobiology research for icy ocean worlds and development of actionable data hubs for long-term environmental monitoring.

Raphael WittkowskiView profile

Professor

• Active Soft Matter
• Theoretical Physics
• Statistical Physics
• +12 more

Raphael Wittkowski is a Professor of Theory of Active Soft Matter at RWTH Aachen University and the DWI – Leibniz Institute for Interactive Materials. He leads a research group focused on theoretical and computational physics of active systems, with strong affiliations in the Department of Physics at RWTH Aachen. Educational Background: Bachelor of Science in Mathematics, Heinrich Heine University Düsseldorf (2009) Bachelor of Science in Physics, Heinrich Heine University Düsseldorf (2009) Master of Science in Physics, Heinrich Heine University Düsseldorf (2010) PhD in Physics, Heinrich Heine University Düsseldorf (2012) Research Interests: His work spans active soft matter, acoustofluidics, microfluidics, microrobotics, programmable and intelligent materials, 3D bioprinting, and theoretical modeling. He investigates systems driven by sound or light, develops simulation software (AcoDyn), and explores applications in medicine and engineering. His research integrates statistical physics, field theory, and artificial intelligence concepts in material design. Publication Trends: Recent publications emphasize field theories for active matter, computational modeling of active Brownian particles, intelligent materials, and biomedical applications of microrobots. His work frequently appears in high-impact journals such as Science Advances , Nature Communications , and Physical Review Letters , reflecting a strong focus on theoretical innovation and interdisciplinary applications. Scientific Contributions: Development of AcoDyn, a Rust-based software for acoustofluidic and microfluidic simulations Leadership in major research projects including Sonocraft and CRC 1459 B01 Heisenberg Grant recipient for research in active soft matter and statistical physics Advising and Grants: He advises PhD students such as Adrian Paskert and leads a dynamic research group. He has secured competitive funding, including a Heisenberg Grant, and is involved in collaborative, interdisciplinary projects that bridge physics, engineering, and medicine. Research Groups and Projects: He leads the Theory of Active Soft Matter group at RWTH Aachen. Key projects include Sonocraft (ultrasound-based 3D bioprinting), CRC 1459 B01 (intelligent light-driven microsystems), and foundational work on active matter theory and simulation frameworks.

Ata OtaranView profile

Research Fellow

• Human-Computer Interaction
• Robotics
• Virtual Reality
• +5 more

Dr. Ata Otaran is a Postdoctoral Research Fellow at the Human-Computer Interaction Lab within the Department of Computer Science at Saarland University. His work focuses on physical human-machine interaction, particularly leveraging haptics for virtual reality and educational interfaces. Prior to this role, he completed his PhD in the Robotics Group at Queen Mary University of London's School of Electrical Engineering and Computer Science, researching ankle gesture-based locomotion techniques for virtual environments. He holds an M.Sc. and B.Sc. in Mechatronics Engineering from Sabanci University, Istanbul, with a minor in Mathematics. His M.Sc. thesis introduced a novel admittance-type force control device for educational purposes. Notable projects include Foot Pedal Control, Metamaterial research, the 3HANDS Dataset initiative, and the WRLKit computational design framework. His research interests span wearable robotics, metamaterials for shape-changing interfaces, and educational robotics platforms. He is affiliated with the Human-Computer Interaction Lab at Saarland University, where his work bridges theoretical advancements with practical applications in human augmentation and VR interaction. Contact him via email at otaran@cs.uni-saarland.de or visit his office at E 1.7 Room 2.05.

Marco AielloView profile

Professor

• Service Computing
• Artificial Intelligence
• Energy Systems
• +9 more

Marco Aiello is a Professor and Vice Dean at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology. He leads the Institute of Architecture of Application Systems, focusing on Service Computing and AI-driven technologies. His research spans energy systems optimization, smart grids, IoT integration, and AI planning in robotics and automation. He has contributed to frameworks for carbon-efficient computing, blockchain-based IoT security, and human-aware robotics systems. Key research areas include: Service Composition & Large Language Model Integration Energy Smart Buildings & Sustainable Data Centers Robot Task Planning & Human-Computer Interaction Decentralized Energy Markets & Peer-to-Peer Trading Recent work emphasizes: - AI planning methodologies in real-world domains - Carbon-aware scheduling for Kubernetes deployments - Multimodal LLMs for human behavior prediction Awards: None explicitly mentioned. Grants/Advising: Active in doctoral supervision and industry collaborations, though specific grants are not detailed here. Labs/Teams: Leads the Institute's work on service-oriented systems and energy-aware computing architectures.

Swen SchneiderView profile

Professor

• Digital Business
• E-Commerce
• Business Process Management
• +10 more

Prof. Swen Schneider is a Professor of Information Systems and Business Administration at Frankfurt University of Applied Sciences (Frankfurt UAS), where he previously served as Dean of the Faculty of Business and Law (2013-2019). He is currently Executive Director of the Institute of Data Driven Business (D2B). His research focuses on digital transformation, agile project management, AI-driven business processes, trust in internet transactions, and mobile internet technologies. He holds a Ph.D. in Management Information Systems from Goethe University Frankfurt and has extensive industry experience with companies like Mastercard, IBM, and Commerzbank Consulting. Education: Ph.D. in Management Information Systems, Goethe University Frankfurt (minors in Computational Linguistics and Personality Psychology) M.Sc./B.Sc. in Business Administration and Business Information Systems, University of Trier (1994) Research interests span digital business models, e-commerce, AI applications in business processes, trust mechanisms in online transactions, and mobile internet strategies. He has collaborated internationally, including as a visiting professor at London Metropolitan University (2005) and lecturer at the Institute for Financial Management and Research in Chennai, India (2007). Notable awards include the Carl Wimberly Award for International Partnerships (2007). He advises companies on digital transformation and agile methodologies, certified as a Scrum Master and Product Owner. He leads the Master of Science in Strategic Information Management program and chairs the Frankfurt Payments Network Organization. Professional roles include memberships in FIBAA, German Information Systems Society (GI), and the FraUAS Senat. His work bridges academia and industry, emphasizing practical applications of digital innovation.

Johannes BetzView profile

Professor

• Autonomous Systems
• Vehicle Control
• Machine Learning
• +3 more

Prof. Dr. Johannes Betz is a Rudolf Mößbauer Professor at the Technical University of Munich (TUM), leading the Chair of Autonomous Vehicle Systems within the Department of Mobility Systems. His research focuses on software development for autonomous vehicles, emphasizing algorithms for environmental perception, path planning, and control to enable safe, efficient autonomous operation. He holds a B.Eng. and M.Sc. in Automotive Engineering from Coburg University and the University of Bayreuth, followed by a Ph.D. in Engineering from TUM (2019). Notable achievements include founding the TUM Autonomous Motorsport Team, which won the Indy Autonomous Challenge ($1M prize), and extensive postdoc work at TUM and the University of Pennsylvania. Education: B.Eng., Automotive Engineering, Coburg University of Applied Sciences (2013) M.Sc., Automotive Engineering, University of Bayreuth (2013) Ph.D. in Engineering, Technical University of Munich (2019) Research Interests: Autonomous vehicle software architecture Real-time trajectory and behavior planning Adaptive control for high-performance systems Simulation and validation frameworks Ethics of autonomous decision-making Awards: IEEE ITS Young Professional Travel Fellowship (2022) 1st Place, Indy Autonomous Challenge (2021) New Generation Star Project Award (2024) Outstanding Reviewer Award (2024) Labs & Teams: TUM Autonomous Motorsport Team (race competition leader) AVS Lab (Autonomous Vehicle Systems)

Gerhard LakemeyerView profile

Professor

• Artificial Intelligence
• Knowledge Representation
• Cognitive Robotics
• +3 more

Gerhard Lakemeyer is a Professor and Chair of the Department of Computer Science at RWTH Aachen University, leading the Knowledge-Based Systems Group (KBSG). He is also affiliated with the Chair of Information Systems and Database at RWTH Aachen and the Department of Computer Science at the University of Toronto. His primary research interests include Artificial Intelligence, Knowledge Representation , and Cognitive Robotics , with a focus on applying these fields to robotics, autonomous systems, and industrial applications. His work spans theoretical advancements in AI planning, formal verification, and multi-agent systems, alongside practical implementations in robotics navigation, simulation frameworks (e.g., ROS 2), and data-driven systems for production processes. Lakemeyer’s contributions often bridge theoretical computer science with real-world applications, such as improving the reliability of service robots and enhancing cybersecurity in data-sharing systems. He has been involved in international collaborations, including the RoboCup Logistics League, where his teams have achieved notable successes through innovative robotics strategies. His recent publications highlight trends in explainable AI, anomaly detection, and the integration of AI into industrial settings like the 'World Wide Lab.' These efforts aim to advance autonomous systems, digital transformation in manufacturing, and sustainable urban management through interdisciplinary approaches. While no formal awards or grants are explicitly listed, his active role in academic leadership and collaborative research projects underscores his significant contributions to the field.

Barbara HammerView profile

Professor

• Machine Learning
• Explainable Artificial Intelligence
• Trustworthy AI
• +13 more

Prof. Dr. Barbara Hammer is a full professor of Machine Learning at Bielefeld University, Faculty of Engineering, and leads the Machine Learning Group at the Center for Cognitive Interaction Technology (CITEC). She is actively involved in multiple interdisciplinary research centers including the Bielefeld Center for Data Science (BiCDaS), the Research Institute for Cognition and Robotics, and the Institute for Bioinformatics Infrastructure (BIBI). She holds leadership roles in major research initiatives such as the TRR 318 'Constructing Explainability', the graduate school Data-NinJA on Trustworthy AI, and the research network SAIL on sustainable AI systems. Her research focuses on intelligent data analysis , explainable and trustworthy AI , and machine learning in dynamic environments . She investigates foundational algorithms for learning from complex, non-Euclidean, and evolving data streams, with applications in urban infrastructure (especially water systems), life sciences, and socio-technical systems. Her work bridges algorithmic innovation with societal impact, particularly in fairness, ethics, and human-AI interaction. The recent publications highlight a strong trend towards explainability in dynamic environments , concept drift detection and explanation , fairness in streaming data , and real-world applications in critical infrastructure . Her team develops both theoretical frameworks and practical tools, such as EPyT-Flow for water network simulation, and contributes to high-impact AI challenges in health, environment, and industry. ERC Synergy Grant – Smart Water Futures LAMARR Fellow She advises several PhD and Master’s students and leads numerous funded projects from the European Union, DFG, and national agencies. Her leadership extends to editorial roles, including on the IEEE TPAMI editorial board. She is also deeply involved in academic governance, serving on examination boards, habilitation committees, and interdisciplinary research centers, reflecting her central role in shaping AI research and education at Bielefeld and beyond.

Cristóbal CurioView profile

Professor

• Cognitive Architectures
• Deep Learning
• Computer Vision
• +3 more

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

• Business Process Management
• Process Mining
• Automated Planning
• +3 more

Andrea Marrella is a researcher at Sapienza University of Rome, Italy, with extensive contributions to Business Process Management (BPM), Process Mining, and Automated Planning. His work bridges process modeling with AI integration, IoT, and human-computer interaction, focusing on adaptive cyber-physical systems and data-driven decision making. He has co-authored over 139 publications since 2008.

• Software Engineering
• Educational Technology
• Artificial Intelligence
• +7 more

Iván Ruiz-Rube is a prolific researcher with a focus on Software Engineering , Educational Technology , and Human-Computer Interaction . His work spans augmented reality , chatbots , and domain-specific languages (DSLs) , aiming to democratize technology for non-experts and educators. Key Contributions : Tools for end-user development, frameworks for conversational agents, and methodologies for immersive educational VR/AR scenarios. Collaborations : Juan Manuel Dodero, José Miguel Mota, Antonio Balderas, and Rubén Baena-Pérez. Research Themes : • Enhancing educational experiences through mobile apps and VR/AR. • Innovations in DSLs and model-driven development . • Applying linked data and privacy-preserving techniques to web and software engineering. • Leveraging block-based programming for IoT education . Article Trends : His recent work emphasizes chatbots and end-user development (2024–2025), while earlier studies focus on DSLs and augmented reality in education (2018–2020). Biomedical applications (2021) and linked data (2010–2017) also appear frequently.

• Behavioral Ecology
• Wildlife Ecology
• Animal Behavior
• +5 more

Dr. Blair R. Costelloe is a behavioral ecologist at the Max Planck Institute of Animal Behavior's Department of Collective Behavior, Konstanz. Their research bridges animal behavior with technology, focusing on drone-based observation and computer vision for studying wild ungulates and collective behavior. Current Projects: Herd Hover (drones for high-resolution behavioral data), WildDrone (autonomous conservation drones), and maternal behavior studies in Thomson’s gazelles. Past Work: Automated bat counting methods, warthog predation documentation, and fawn survival strategies. Expertise: Interdisciplinary methods, predator-prey dynamics, and scalable ecological monitoring. Recent publications highlight collaborations with computer scientists on machine learning applications in ecology. Awards include EU Marie Sklodowska Curie and Princeton University funding.

André PompView profile

Researcher

• Semantic Interoperability
• Knowledge Graphs
• Natural Language Processing
• +12 more

Dr.-Ing. André Pomp is a Scientific Researcher and Head of the Research Field 'Semantic Systems Engineering' at the Institute for Technologies and Management of Digital Transformation (TMDT), University of Wuppertal. His work focuses on semantic data integration, knowledge graphs, natural language processing, and machine learning in industrial contexts. PhD in Computer Science, RWTH Aachen University (2020) Bachelor’s and Master’s in Computer Science with minor in Business Administration, RWTH Aachen Research Assistant & PhD Student, Cybernetics Lab IMA & IfU, RWTH Aachen (2015–2019) Leader of Cognitive Computing & eHealth Research Group (2018–2019) His research interests lie at the intersection of semantic technologies and industrial digital transformation. He investigates semantic interoperability , flexible knowledge graphs , industrial NLP , and machine learning for data integration across domains such as logistics, smart cities, and production. His work emphasizes practical software architectures that support scalable and extensible data ecosystems. The recent publications show a strong trend toward integrating large language models with semantic modeling , advancing data interoperability in circular economy and dataspaces. He also contributes to applied AI in radar systems and IoT-driven business innovation, reflecting a balance between theoretical advances and real-world deployment. André Pomp has been actively involved in numerous R&D projects in logistics, mobility, telecommunications, and production, focusing on integration architectures and AI methods. While no formal advisees are listed, his leadership of research groups indicates supervisory experience. He has not received any explicitly mentioned scientific awards. He is associated with the 'Semantic Systems Engineering' research field at TMDT, contributing to interdisciplinary teams working on digital transformation challenges. His work often involves collaboration with industry and cross-domain applications of AI and semantic technologies.

• Computer Graphics
• Machine Learning
• Data Analysis
• +7 more

Prof. Dr. Volker Ahlers is a Professor in the Department of Computer Science at Hochschule Hannover – University of Applied Sciences and Arts . He serves as the International Coordinator for the department and is a member of the Senate Commission for Research . His academic career spans over two decades, with prior appointments at Goethe University Hospital, WiSenT GmbH, and the University of Potsdam. Education : PhD in Physics (University of Potsdam, 2001), M.Sc. in Physics (Georg August University Göttingen, 1998) Research Interests : Focus on Computer Graphics , Machine Learning , Data Analysis , Information Visualization , and Urban Logistics . His work bridges network security and smart city applications. Grants : Led projects funded by BMBF (EKiKo-KI, GLACIER, USEfUL), BMDV (5GAPS), and DAAD collaborations. Professional Roles : Conference chair (IDAACS 2023, ASIM 2018), reviewer for journals like PLOS ONE and Bioinformatics , and member of accreditation agencies.

Daniele BernardiniView profile

Researcher

• Robotics
• Neurorehabilitation
• Machine Learning
• +3 more

Daniele Bernardini is a researcher at the School of Engineering and Design, Technical University of Munich (TUM), contributing to Healthcare and Rehabilitation Robotics under Prof. Cristina Piazza. He co-founded and leads Cognivix, a startup focused on industrial automation for high-variability/low-volume production. Education : M.Sc. in Theoretical Physics, University of Florence (1997) Ph.D. candidate in Computation, Information and Technology, TUM (since 2022) Research Focus : Robotic perception for manipulation tasks Deep learning in grasping systems 6D pose estimation techniques Photovoltaic energy management frameworks Recent Publication Trends : His 2022-2024 work spans robotics (6D pose estimation, bionic hands), machine learning (deep reinforcement learning), and energy systems (photovoltaic optimization), reflecting interdisciplinary efforts between AI and industrial applications.