Find Academic Supervisors

• Optimization with PDE constraints
• Radiative Heat Transfer
• Quantum Drift Diffusion
• +4 more

Prof. Dr. René Pinnau is a Full Professor of Industrial Mathematics at the Department of Mathematics, Technische Universität Kaiserslautern. His academic journey includes a Diplom in Technomathematik (1996, TU Berlin), a PhD (1999, Universität Kaiserslautern), and a Habilitation in Mathematics (2004). He previously held positions as Assistant Professor (2000–2004) and Junior Professor (2002–2004) at TU Darmstadt. His research focuses on Optimization with PDE constraints , Radiative Heat Transfer , and Semiconductor Models , with contributions to numerical methods and optimal control. He led the Technomathematik group and served as Dean (2011–2014) and ProDean of the Department of Mathematics at TU Kaiserslautern. His work bridges theoretical mathematics and industrial applications, emphasizing computational and analytical approaches. Publications highlight advancements in quantum drift-diffusion models , model reduction techniques , and parameter identification in thermal processes . Notable books include Optimization with PDE Constraints (Springer, 2009). Recent articles address optimal control in fiber-reinforced materials and self-gravitating particle systems. His affiliations include the European Consortium for Mathematics in Industry (ECMI Council Member, 2010–2018) and leadership roles in academic governance. Current research interests emphasize interdisciplinary applications of mathematics in engineering and physics.

• Neuroscience
• Neurodegenerative Disorders
• Metabolism
• +4 more

Prof. Marc Tittgemeyer leads the Department of Translational Neurocircuitry at the Max Planck Institute for Metabolism Research in Cologne, Germany. His work bridges neuroendocrinology, neurodegenerative diseases, and neuroimaging, focusing on dopamine pathways, obesity mechanisms, and Parkinson’s disease progression. His research employs multimodal approaches including PET imaging, neuropharmacology, and computational modeling. Research Interests: His key areas include: Neurocircuitry of reward and motivation Dopamine-driven motor and cognitive deficits in Parkinson’s Neuroendocrine regulation of appetite and metabolism Genetic and metabolic drivers of impulse control disorders Deep brain stimulation mechanisms Key Findings: Recent work highlights dopamine’s role in movement motivation, thalamic opioid effects on sugar craving, and liraglutide’s cognitive benefits in obesity. His articles emphasize network connectivity disruptions in neurodegenerative diseases and metabolic-neural interactions. Collaborations: Engages in translational research combining clinical imaging (PET/fMRI), genetic analysis, and behavioral studies to advance disease biomarkers. Active in developing AI-driven diagnostic tools for Parkinson’s using machine learning on radiomic data.

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.

Mahmoud SalamatiView profile

Research Fellow

• Formal Methods in Control
• Learning in Control Systems
• Cyber-Physical Systems
• +2 more

Dr. Mahmoud Salamati is a Research Fellow at the Max Planck Institute for Software Systems, working in the Rigorous Software Engineering group under Professor Rupak Majumdar. His research bridges formal methods, control theory, and machine learning with applications in cyber-physical systems, energy grids, and autonomous vehicles. Salamati's work develops formal verification techniques for stochastic systems and data-driven control synthesis methods. Recent publications focus on regret-free reinforcement learning for temporal logic specifications, metastable failure analysis in distributed systems, and abstraction-based controller synthesis. His research addresses fundamental questions about decidability and scalability in formal control synthesis while maintaining practical applications in energy management and autonomous systems. Key contributions include novel approaches to time-bounded reachability problems in continuous-time Markov chains, symbolic control methods for multi-agent systems, and hybrid optimization techniques for power plant control. Salamati's work demonstrates consistent integration of theoretical computer science foundations with practical engineering challenges in critical infrastructure systems.

• Robotics in Healthcare
• Gerontechnology
• Health Informatics
• +5 more

Rainer Wieching is a Substitute Professor (Vertretungsprofessur) for Business Information Systems at the University of Siegen's Faculty of Business Information Systems and New Media. He serves as Head of the Health and Prevention Division, focusing on robotics, AI, and ICT-based solutions for elderly care and preventive health. His work bridges healthcare technology, gerontechnology, and human-robot interaction. Education and Professional Background: Dr. Wieching holds a PhD and degrees in sports science, physiology, and medical education. He has 15 years of experience leading health-tech startups and 8 years in engineering systems for energy sector process control. His research integrates medical expertise with IT systems for evidence-based medicine and assistive technologies. Key Projects: He leads/co-leads EU-Japan initiatives like e-VITA (AI-driven aging support), my-AHA (frailty detection), and iStoppFalls (fall prevention). His work spans over 20 projects including HAPPIER (empathetic robots), Cognitive Village (adaptive systems), and MobiAssist (dementia care). Research Focus: Current projects emphasize social robots in intercultural contexts (Germany-Japan), digital twins for aging, and participatory design of health technologies. He explores ethical implications, technology acceptance, and sustainable tech integration in care settings. Labs & Collaborations: Active in PRAXLABS, Fab Lab Siegen, and Social Media Observatories. Engages in international collaborations through EU-funded programs and cross-cultural studies between Europe and Japan.

• High Performance Computing
• Energy Efficiency
• Data Center Operations
• +3 more

Dr. Torsten Wilde is a researcher at Technical University Munich , Germany, with a focus on High Performance Computing (HPC) and Energy Efficiency in data centers. His work spans over a decade, integrating Machine Learning , Simulation and Modeling , and Operational Data Analytics to optimize HPC systems.

Jens GerkenView profile

Professor

• Human-Robot Interaction
• Assistive Robotics
• Human-Computer Interaction (HCI)
• +3 more

Jens Gerken is a Professor of Technology for Inclusion: Mechatronics and Robotics at TU Dortmund University since July 2023, affiliated with the Research Unit for Inclusive Human-Robot Interaction. He holds a PhD (2011), Master (2006), and Bachelor (2004) in Information Engineering from the University of Konstanz. Previously, he was a Professor of Media Informatics (2015-2023), Managing Director of Immersion7 GmbH (2014-2016), and Senior Consultant at ICT AG (2011-2013). Key Research Focus: Inclusive human-robot collaboration mechanisms, transparency in AI-driven systems, mixed-reality simulation environments Expertise: Human-Computer Interaction (HCI), assistive robotics, adaptive control interfaces, accessibility design His work emphasizes trust-building through transparent interaction systems and accessible assistive technologies. Recent publications (2023-2024) focus on shared control mechanisms for robotic arms, AI-enhanced interfaces, and gamified rehabilitation tools like HoloBoard.

Markus BodenView profile

Researcher

• Construction Management
• Building Information Modeling (BIM)
• Digital Transformation in Infrastructure
• +3 more

Markus Boden is a Research Assistant at the Faculty of Civil and Environmental Engineering, Bauhaus-Universität Weimar. He specializes in Building Information Modeling (BIM), digital transformation of infrastructure authorities, and construction safety. His work focuses on BIM maturity models, automated quality inspection planning, and infrastructure policy analysis. He collaborates on projects like BIMwissT and DROHNIS B88. Education: Master of Science (M.Sc.) His research explores BIM applications in public infrastructure, ontology-based inspection methodologies, and digital transformation frameworks. He co-authored studies on thermal insulation inspection and BIM implementation in regulatory contexts. No awards or grants are explicitly listed. He is part of research teams investigating construction process control and machine-readable modeling requirements.

• Artificial Intelligence
• Reinforcement Learning
• Internet of Things (IoT)
• +5 more

Dr. Qingzhi Liu is an Assistant Professor at the Information Technology Group within Wageningen University & Research in the Netherlands. He holds a Ph.D. from Delft University of Technology (2016) and postdoctoral research experience at Eindhoven University of Technology (2016-2019). His research focuses on AI-driven solutions for precision agriculture, IoT systems, and edge computing. He teaches courses including Big Data (INF33806), Artificial Intelligence (INF36306), and Advanced Machine Learning (FTE40306). Research interests include reinforcement learning applications in microgrid energy management, deep learning-based crop classification using UAV imagery, and blockchain-enhanced IoT security frameworks. He has published in top venues like IEEE TPDS and IEEE TITS, addressing challenges in smart agriculture, distributed cloud scheduling, and energy-efficient computing. His work integrates computer vision techniques for agricultural monitoring (e.g., plant stem occlusion inpainting), low-code platforms for agri-tech development, and secure IoT data fusion methods. He actively contributes to interdisciplinary projects at the intersection of IT and life sciences.

Nicola Palomero-GallagherView profile

Adjunct Professor

• Neuroimaging
• Receptor Autoradiography
• Cytoarchitecture
• +5 more

apl.-Prof. Dr. Nicola Palomero-Gallagher is a Working Group Leader of the 'Receptors' research group at the Institute of Neuroscience and Medicine (INM-1), Research Center Jülich. Affiliated with Heinrich Heine University Düsseldorf, she leads the National Node Germany of EBRAINS, a pan-European research infrastructure for brain research. Her work focuses on integrating neuroanatomical, molecular, and functional data to map brain organization across species. Research interests include connectomics, neuroimaging techniques (e.g., 3D-PLI), receptor autoradiography, and the structural-functional relationships of brain regions. Key projects involve creating multi-modal brain atlases (e.g., MEBRAINS for macaques) and investigating neurotransmitter receptor distributions in human and non-human primate brains. Her contributions bridge neuroanatomy, computational neuroscience, and translational research. Publications emphasize cortical architecture, receptor-driven area mapping, and applications of AI in neuroimaging. She collaborates internationally to advance digital neuroscience tools and cross-species comparisons, with a focus on Alzheimer’s disease mechanisms and brain network dynamics.

Guido H BaltesView profile

Professor

• Strategic Transformation
• Innovation Management
• Business Incubators
• +4 more

Prof. Dr.-Ing. Guido H. Baltes is a Professor and Director of the IST Institute for Strategic Innovation & Technology Management at HTWG Konstanz (Lake Constance University). He also serves as a visiting professor at UIBE University (Beijing) and UC San Diego’s Rady School of Management. His expertise focuses on strategic transformation, innovation management, and corporate entrepreneurship, particularly in technology-driven contexts. Key research areas include venture emergence, business model validity, entrepreneurial learning, and autonomy in corporate innovation teams. His work emphasizes the intersection of theory and practice, addressing challenges such as hybrid organizations balancing financial/social/environmental impacts, digital transformation of business models, and leveraging transaction relations to assess NTBF survival. Notable contributions include frameworks for evaluating business plan validity, models of corporate autonomy dynamics, and case studies on transformative business strategies (e.g., LEGIC’s shift to platform-based IoT solutions). Publications span interdisciplinary topics like machine learning in entrepreneurial literature reviews, agile methodologies in software startups, and strategic decision-making in focal networks. His research bridges academic rigor with practical tools for enhancing organizational agility and innovation capacity in volatile markets.

Ralf LämmelView profile

Professor

• Software Language Engineering
• Model-Driven Development
• Semantic Web
• +2 more

Ralf Lämmel is Professor and Head of the Software Languages group at the University of Koblenz. His research spans software language engineering, model-driven development, and semantic web technologies. He specializes in API analysis, data validation (SHACL constraints), and variability management for software systems. Recent work focuses on AI-assisted workflows for archaeology and trust analysis in large language models. Publications demonstrate growing interest in knowledge graph validation and semantic web applications. He has developed tools like the Virtual Platform for software variability and ProGS for property graph validation. Service includes program committee memberships for software engineering conferences and editorial roles. He leads research groups exploring API evolution and RDF validation techniques.

Barbara SolenthalerView profile

Research Fellow

• Physics-based modeling and simulation
• Data-driven simulations
• Deep learning for physics
• +2 more

Barbara Solenthaler is a Senior Research Scientist at ETH Zurich's Computer Graphics Laboratory, leading the Simulation and Animation Group. She holds a Hans Fischer Fellowship at the Technical University of Munich (TUM-IAS). Her research focuses on physics-based simulations for computer graphics applications, integrating deep learning to enhance efficiency and artist control. She has co-founded Apagom AG, providing real-time fluid engines using machine learning. Education: PhD in Computer Science, University of Zurich Research Interests: Physics-driven simulations for visual effects, games, and biomedical computing Data-driven methods and neural networks for fluid dynamics Real-time computation and artist-controllable workflows Awards: Hans Fischer Fellowship (2019) Best Paper Awards (2017, 2011) Swiss National Science Foundation grants Advising & Grants: She has led research projects funded by SNSF, ETH Zurich, and Innosuisse. Her work bridges academic research and industry applications through collaborations like Apagom AG. Labs/Teams: Leads the Simulation and Animation Group at ETH Zurich and contributes to TUM-IAS's Simulation and Digital Twin focus group.

• Permafrost Dynamics
• Climate Change Impacts
• Remote Sensing
• +3 more

Tabea Rettelbach is a Researcher in the Permafrost Research department at the Alfred Wegener Institute (AWI), part of the Polar Terrestrial Environmental Systems division. Her work focuses on understanding permafrost dynamics, climate change impacts, and environmental monitoring in Arctic and boreal regions. She specializes in remote sensing techniques, field expeditions, and geospatial analysis to study permafrost thaw, thermokarst processes, and landscape evolution. Her research integrates high-resolution aerial imagery, LiDAR data, and machine learning to analyze permafrost terrain, such as ice-wedge polygons and thaw ponds. She has contributed to projects like the Perma-X expeditions in Alaska and studies on thermokarst lake life cycles in Arctic Alaska. Key areas of interest include topographic controls on permafrost thaw, albedo measurements in boreal forests, and the application of graph theory to hydrologic networks. Rettelbach collaborates on international initiatives, leveraging multi-source data (e.g., satellite, drone, and in-situ measurements) to model climate-driven changes in permafrost ecosystems. Her work emphasizes bridging field observations with advanced computational methods to address climate change challenges in polar regions.

Pia EbelingView profile

Researcher

• Hydrology
• Environmental Science
• Catchment Hydrology
• +6 more

Dr. Pia Ebeling is a Researcher at the Department of Hydrogeology, Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. She holds a Master of Science in Hydrology (2018) and a Bachelor of Science in Hydrology (2014), both from Technical University Dresden. Her research focuses on water quality dynamics, catchment-scale nutrient interactions, data-driven hydrological analysis, and groundwater dynamics under climate variability. She has been involved in international research stays, including at INRAE in France (2018-2022), and has contributed to projects such as CAMELS-DE and QUADICA, which compile extensive hydro-meteorological datasets for German catchments. Dr. Ebeling has received the Karl-Franz-Busch Medal (2018) for her Master’s thesis on seawater intrusion remediation. She collaborates with interdisciplinary teams in the Helmholtz program 'Changing Earth - Sustaining our Future', particularly in topics like coastal zones, landscapes of the future, and sustainable bioeconomy. Her work emphasizes developing Python-based modeling tools, integrating machine learning for environmental prediction, and addressing global challenges in water security and ecosystem health. Education: Bachelor of Science in Hydrology, Technical University Dresden (2014) Master of Science in Hydrology, Technical University Dresden (2018) Research Interests: Quantifying groundwater dynamics and drought patterns Examining nutrient depletion and stoichiometric imbalances in streams Advancing large-sample hydrological analysis through data synthesis Modeling subsurface processes under climate change scenarios Developing open-source tools for hydro-ecological research Advising & Grants: Completed PhD under the supervision of Prof. Jan Fleckenstein at UFZ (2022) Contributed to interdisciplinary research initiatives like Helmholtz TRACER PhD school Involved in international collaborations, including with the University of Texas at Austin’s hydrology team Labs/Teams: Member of the Hydrogeology Department team at UFZ Contributor to the 'Healthy Planet' and 'Landscapes of the Future' research topics Developed the HydroEcoLSTM package for hydro-ecological modeling