Find Academic Supervisors

• Gravitational Wave Astronomy
• Laser Interferometry
• Space Interferometry
• +3 more

Dr. Melanie Ast is a Junior Scientist/Postdoc at the Max Planck Institute for Gravitational Physics (AEI) in Hannover, Germany. Her research focuses on gravitational wave astronomy, laser interferometry, and space-based interferometry. She contributes to advanced detector technologies like LISA and analyzes gravitational wave signals from compact binary mergers. Her work involves improving interferometric techniques to suppress noise and enhance detection capabilities. Her research areas include testing general relativity through gravitational wave observations, studying neutron star mergers and their electromagnetic counterparts, and developing methods for multi-messenger astronomy. She has collaborated on projects analyzing data from Advanced LIGO, Virgo, and KAGRA detectors, contributing to key studies of GW170817 and other historic gravitational wave events. Dr. Ast's publications emphasize high-precision measurement techniques, such as stray light suppression in interferometers and phase-reference distribution systems. Her work bridges experimental physics with theoretical astrophysics, advancing the field of gravitational wave detection and its applications to cosmology and fundamental physics.

John BunceView profile

Researcher

• Cultural Dynamics
• Evolutionary Anthropology
• Human Behavior Ecology
• +5 more

John Bunce is a Senior Researcher in the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He is also an Assistant Curator in the Division of Anthropology at the American Museum of Natural History (AMNH), focusing on South American Ethnology. His research integrates evolutionary anthropology with fieldwork in Amazonian Peru, focusing on inter-ethnic cultural dynamics, health, and the persistence of Indigenous cultures. Bunce holds a Ph.D. in Anthropology from UC Davis (2009), an M.A. from UC Davis (2004), and a B.S. in Biology from Bates College (2002). Education: Ph.D., Anthropology, University of California, Davis (2009) M.A., Anthropology, University of California, Davis (2004) B.S., Biology, Bates College (2002) Bunce’s research explores how inter-ethnic interactions influence cultural norms and health outcomes among Mestizo and Matsigenka populations in Peru. He combines mathematical modeling, ethnography, and genetic analysis to study cultural evolution at ethnic boundaries. His work also examines the ecology and genetics of color vision in Neotropical primates. His grants include a National Science Foundation award (2012–2015) and fellowships from the Leakey Foundation, Wenner-Gren Foundation, and Sigma Xi. He has co-led the Culture, Environment, and Health Research Group at MPI and taught courses at Indiana University, Vanderbilt University, and Western Kentucky University. Key Research Themes: Cultural change and ethnic boundaries Indigenous health and conservation Evolutionary models of cultural dynamics Primate behavior and genetics Bunce’s professional service includes manuscript reviews for PNAS , Behavioral Ecology , and Current Anthropology , and grant reviews for the NSF and Leakey Foundation. He speaks English, Spanish, Matsigenka, and has basic German proficiency. His programming expertise includes R, Stan, and Mathematica.

Marco ThinesView profile

Professor

• Oomycetes Research
• Evolutionary Biology
• Plant Pathology
• +6 more

Professor Marco Thines is a distinguished researcher at the Senckenberg Biodiversity and Climate Research Center and Goethe University Frankfurt, where he leads the Evolutionary Analysis and Biological Archives research group. His work focuses on the evolutionary biology and diversity of oomycetes (plant parasites), particularly their interactions with host plants and environmental factors, with significant contributions to discovering new species, genera, and families within this lineage. Dr. Thines' research spans multiple disciplines including cell biology, ecology, evolutionary biology, taxonomy, genomics, and molecular phytopathology. His group investigates how evolutionary processes have contributed to oomycete diversity and biotic interactions, and how these have been influenced by climate. He has developed innovative methods like the 'AgriFuture' web application for real-time pathogen detection in agriculture, addressing previous limitations where separate tests were required for each pathogen. Recent research trends show Dr. Thines has been actively publishing on oomycete systematics, genomics, and the impact of climate change on plant-pathogen interactions. His work increasingly integrates genomic approaches with ecological and evolutionary perspectives, particularly in studying how vegetation changes affect genetic diversity in plants and their pathogens, as demonstrated in his satellite-observed mountain greening studies that correlate with genomic erosion in medicinal plants. Rudolf-Heitefuß Award for scientific achievements from the German Phytomedicinal Society Wissenschaftspreis from Deutsche Phytomedizinische Gesellschaft e.V. for outstanding scientific contributions to filamentous pest research Dr. Thines has secured significant research funding for projects related to biodiversity genomics and climate change impacts on plant-pathogen systems. His work with the LOEWE Center for Translational Biodiversity Genomics demonstrates his commitment to applying fundamental research to practical agricultural challenges, particularly in addressing how oomycetes and smut fungi cause billions of dollars in annual crop losses worldwide. The Evolutionary Analysis and Biological Archives group under Dr. Thines' leadership utilizes historical biological collections, particularly herbarium specimens, to understand long-term changes in plant-pathogen interactions. His team has made groundbreaking discoveries about how increasing vegetation density in mountain regions correlates with genetic erosion in medicinal plants over decades, emphasizing that 'without historical plant specimens in herbaria, a direct comparison over a period of 50 years would not have been possible. For biodiversity research, these natural archives are of inestimable value.'

• Distributed Computing
• Communication Complexity
• Quantum Computing
• +4 more

Rotem Oshman is affiliated with Tel-Aviv University, Israel , where he contributes to research in theoretical computer science, focusing on distributed computing, communication complexity, and quantum algorithms. His work addresses fundamental challenges in network protocols, concurrent data structures, and cryptographic verification.

• Machine Learning
• Federated Learning
• Differential Privacy
• +3 more

Daniel Ramage is a researcher at Google focused on privacy-preserving machine learning and federated learning . His work bridges artificial intelligence and data privacy , with particular emphasis on decentralized data systems , secure model training , and privacy-aware NLP . He has published extensively on topics including local differential privacy , attack resilience in federated systems , and collaborative model development for mobile applications. Key Research Areas: Federated Learning Architectures Privacy-Preserving AI Language Model Security Collaborative Machine Learning Recent Publication Trends: 2025: Trustworthy inference mechanisms 2024: Error correction in mobile LLMs 2023: Production-scale federated systems

• Power Electronics
• Renewable Energy Systems
• Electrical Engineering
• +5 more

Frede Blaabjerg is a Professor at Aalborg University's Department of Energy Technology, Denmark. He specializes in power electronics, renewable energy systems, and grid integration. His research focuses on advanced control strategies for power converters, renewable energy integration, and smart grid technologies. With over 500 publications, he has contributed extensively to topics like inverter control, microgrid stability, and model predictive control. His work emphasizes practical applications in sustainable energy systems and high-efficiency power conversion. Key research areas include grid-forming inverters, fault-tolerant energy storage systems, and advanced modulation techniques for converters. Collaborations with industry and academia highlight his global impact. His studies often address challenges in integrating renewable sources into modern grids and improving system reliability through innovative control algorithms. He leads projects in wave energy conversion, smart metering, and hybrid AC/DC microgrids. His publications reflect a blend of theoretical advancements and engineering solutions, driving the energy transition through power electronics innovation.

Peter KnippertzView profile

Professor

• Meteorology
• Climate Modeling
• Dust Storms
• +3 more

Peter Knippertz is a Professor at the Karlsruhe Institute of Technology (KIT), leading research at the Institute of Meteorology and Climate Research. He serves as the representative for the collaborative research center 'Waves to Weather'. His work focuses on atmospheric dynamics, dust storms, monsoons, and machine learning applications in weather prediction. Recent publications emphasize West African climate systems, tropical waves, dust particle analysis, and forecast optimization. He coordinates field campaigns (e.g., CADDIWA) and develops educational tools like the TEEMLEAP testbed for atmospheric prediction training.

Alessandro GiffordView profile

Researcher

• Neuroscience
• Computational Neuroscience
• Machine Learning
• +3 more

Alessandro Gifford is a PhD candidate in computational neuroscience at the Freie Universität Berlin , affiliated with the Neural Dynamics of Visual Cognition Lab led by Prof. Radoslaw Cichy. His research focuses on understanding visual processing in the human brain using computational approaches, including machine learning and deep learning applied to M/EEG and fMRI data. He is funded by the Einstein Center for Neurosciences Berlin (2020–2023) and is a member of the Bernstein Center for Computational Neuroscience Berlin . Education: Bachelor of Arts in Philosophy, University of Trento, Italy Master of Science in Cognitive Neuroscience, CIMeC, Italy Research Interests: Computational modeling of visual cognition Intersection of biological and artificial vision systems Machine learning applications in neuroscience Grants & Awards: Einstein Center PhD Fellowship (2020–2023) Bernstein Center Membership Supervision: Current: Shreyas Gadge Past: Andrei Kitaitsev, Furkan Özkan Hüseyincan Labs & Collaborations: Active in ERC-funded TRANSFORM project (2025–) investigating brain mechanisms of visual perception across development.

• Computational Neuroscience
• Spatial Navigation
• Temporal Cognition
• +5 more

Possessing a robust academic profile, Kay Thurley is a Researcher at the Faculty of Biology, Ludwig Maximilian University of Munich. His scholarly work intersects computational neuroscience, spatial navigation, and temporal cognition, with a focus on rodent models in virtual reality environments. His research explores the neural basis of spatial navigation and temporal cognition , which is further elaborated through studies on Virtual reality systems for rodents Time reproduction tasks in prefrontal cortex Hippocampal spatial coding Synaptic plasticity mechanisms Animal behavioral modeling Recent publications highlight trends in naturalistic neuroscience and virtual reality applications , examining how rodents process duration, distance, and sensory stimuli through prefrontal cortex dynamics and hippocampal subpopulations . His work spans 2008–2022 , with collaborations across neuroscience, zoology, and neurophysiology. Contact: thurley@bio.lmu.de

• Formal Methods
• Safety-Critical Systems
• Probabilistic Verification
• +4 more

Sebastian Junges is an Assistant Professor in the Software Science Group at Radboud University, Nijmegen, since 2021. He holds a PhD in Computer Science from RWTH Aachen University (2020), and previously worked as a PostDoc at UC Berkeley (2020-2021) and a Research Assistant at RWTH Aachen (2015-2020). His research focuses on formal methods for analyzing safety-critical systems, particularly using extensions of Markov decision processes (MDPs) to ensure dependability in automated systems like network protocols, hardware architectures, and robotics. Education: PhD in Computer Science, RWTH Aachen University, 2020 M.Sc. in Computer Science, RWTH Aachen University, 2015 B.Sc. in Computer Science, RWTH Aachen University, 2012 His research interests include probabilistic verification, policy synthesis for MDPs, and the intersection of formal methods with artificial intelligence. He has contributed to tools like the Storm probabilistic model checker and led projects on scalable analysis of probabilistic models. His work addresses challenges like ensuring safe decision-making in autonomous systems and certifying compliance with safety standards through rigorous algorithmic approaches. Publications focus on advancing MDP analysis, POMDPs, and robust policy synthesis. Recent trends include integrating uncertainty management, decision-tree-based approaches, and compositional verification techniques. He actively contributes to conferences like CAV, AAAI, and TACAS, and serves on program committees and steering groups for formal methods and AI.

• Federated Learning
• Privacy-Preserving Computing
• Cryptography
• +3 more

Marvin Xhemrishi is a Researcher and PhD Candidate at the Technical University of Munich (TUM), affiliated with the Institute for Communications Engineering. He holds a M.Sc. in Communications Engineering (high distinction, TUM 2019) and a B.Sc. in Telecommunications Engineering from the Polytechnik University of Tirana (2017). His research focuses on federated learning security, privacy-preserving computing, and distributed systems. He has conducted visiting research at Chalmers University of Technology and AI Sweden (2022-2023). His work addresses challenges in secure aggregation, malicious client detection, and sparsity-privacy trade-offs in distributed computing frameworks. He contributes to advancements in coded computing, cryptography applications in machine learning, and hardware security through Physical Unclonable Functions (PUFs). Key research directions include federated learning security (e.g., FedGT framework for malicious client identification), privacy-preserving distributed algorithms, and cryptographic techniques for communication systems. His publications span IEEE Transactions, international symposia, and workshops, with recent focus on group testing applications in federated learning and secure distributed matrix operations.

• Additive Manufacturing
• Laser Technology
• Materials Science
• +5 more

Prof. Henning Ahlers is a Professor in the Department of Mechanical Engineering at Hannover University of Applied Sciences and Arts. His research focuses on advanced manufacturing technologies, particularly additive manufacturing, laser processes, and materials science. Key areas include laser wire bonding, functional graded materials, and the integration of optical and thermal components. His work emphasizes applications in aerospace, automotive, and optomechanical systems, with a focus on material efficiency, process optimization, and system design. Notable projects involve developing coaxial laser deposition systems for multifunctional components and investigating in-situ alloying techniques for enhanced material properties. Research Projects: Includes studies on laser cladding, defect detection in additive manufacturing, and the generative manufacturing of optical/thermal components. Key Contributions: Pioneering work in laser double-wire directed energy deposition, material intermixing behavior analysis, and additive manufacturing of glass and polymer materials. Prof. Ahlers' academic contributions span over two decades, with publications addressing topics from early 2000s machine tool concepts to cutting-edge 2020s additive manufacturing innovations.

Michael PrytulaView profile

Research Professor

• Urban Planning
• Sustainable Construction
• Climate Adaptation
• +3 more

Prof. Dr.-Ing. Michael Prytula is a Research Professor for Resource-Optimized and Climate-Adapted Construction at Potsdam University of Applied Sciences, leading the Urban Future Master's program and its Study Commission. He heads the Institute for Applied Research – Urban Future (IaF) and serves on the Departmental Council. His roles include membership in Potsdam’s Climate Council and the BBSR expert panel for Zukunft Bau. With a PhD from TU Berlin (2011), his career spans academic leadership, research at institutions like the German Institute for Urban Affairs (Difu), and international projects like the Energy Atlas Berlin. Research focuses on urban metabolism, sustainable construction, and climate-resilient urban development. Key areas include resource-efficient building materials, adaptive housing typologies (e.g., cluster apartments), and community-oriented infrastructure. Projects like CMI.BA in Bratislava exemplify his work in ecologically/socially sustainable urban renewal. His transdisciplinary approach addresses global challenges through comparative urban studies and policy analysis. Publications span urban energy planning, resilience strategies, and innovative housing models. Notable works include analyses of infrastructure commons, energy transition pathways, and the interplay between digital mobility and urban structures. His research emphasizes holistic systems thinking, integrating technical, social, and environmental dimensions of urban development.

Thomas BaarView profile

Professor

• Cyber-Physical Systems
• Formal Verification
• Model-Driven Engineering
• +3 more

Prof. Dr. Thomas Baar is a Professor at HTW Berlin, specializing in cyber-physical systems, formal verification, and model-driven engineering. His research focuses on hybrid systems, automated driving platforms like CeCar, and improving usability of verification tools such as KeYmaera. He contributes to software engineering education and legacy system modernization through domain-specific languages (DSLs) and graphical editors. Baar's work spans academia and industry, with collaborations in aerospace safety, multiagent systems, and cybersecurity for control systems. His research interests include formal methods for hybrid systems, software reliability, and educational platforms for autonomous systems. He has published extensively on topics like verification frameworks, syntax improvements for formal tools, and safety analysis methodologies. His interdisciplinary approach bridges theoretical computer science with practical applications in aerospace, automotive, and industrial automation. Key contributions include the CeCar platform for autonomous driving research, modularization enhancements for KeYmaera, and DSL-based solutions for legacy software maintenance. Baar collaborates with institutions like the IFAF Berlin and participates in EU-funded projects focusing on smart cities and sustainable technologies. His publications reflect a strong emphasis on verification techniques, with over 15 peer-reviewed articles since 2015. He is affiliated with the HTW Berlin's Wilhelminenhof Campus and actively engages in knowledge transfer initiatives to bridge research and industry needs.

• Agricultural Engineering
• Mechanical Engineering
• Fluid Dynamics
• +6 more

Prof. Dr. Hariolf Kurz is a Professor at the Faculty of Agriculture, Food, and Nutrition at Hochschule Weiden. His roles include Chair of the Examination Board for Agricultural Engineering, membership in examination boards for Agriculture and Food Management programs, and serving as an academic advisor for Agricultural Engineering. His teaching focuses on agricultural machinery technology, hydraulics, materials management, engine/transmission systems, and technical mechanics. Research interests revolve around sealing systems, flange connections, composite materials, and agricultural machinery design. Key contributions include studies on GRP flanges, PTFE seals, and force shunt connections, with publications in journals like International Journal of Pressure Vessels and Piping and conferences such as ASME Pressure Vessel & Piping. His work emphasizes optimizing mechanical systems for agricultural applications. Research projects include precision injection devices for fertilizers and mechanical weed control solutions. He advises on thesis projects involving agricultural machinery components, such as service life tests for rollers and test rig development. Collaborations include the MPA Stuttgart for materials research, focusing on structural integrity and fluid dynamics.