Find Academic Supervisors

Stefanie LiebeView profile

Physician Scientist

• Neuroscience
• Clinical Neuroscience
• Artificial Intelligence in Healthcare
• +3 more

Dr. Stefanie Liebe is a Principal Investigator at the Universitätsklinikum Tübingen and a Clinician Scientist affiliated with the Cluster of Excellence ‘Machine Learning for Science’. Her work bridges clinical and computational neuroscience, focusing on neural mechanisms of memory, perception, and epilepsy diagnostics using AI. She leads projects on theta-gamma oscillations in sequence memory, seizure behavior mapping, and spatial hearing modeling. Her team includes PhD students Meghal Dani, Muthu Jeyanthi Prakash, and Mohammed Raees MK. Collaborations span institutions like the Max Planck Institute and the University of Bonn. She holds grants from Else Kröner, DFG, and the MSCA CherISH network. Education: Psychology (TU Dresden), Neuroscience PhD (Max Planck), Medical training (Tübingen/Bonn). Her research integrates invasive neurophysiological recordings, recurrent neural networks, and clinical data analysis to advance diagnostic tools for epilepsy and cognitive neuroscience. Key Projects: Multimodal seizure analysis, spatial hearing computational models, neural oscillations in MTL. Funding: Else Kröner Graduierten Kolleg, DFG Priority Program ‘Sensing LOOPS’, MSCA CherISH.

• Planetary Science
• Geophysics
• Fluid Dynamics
• +3 more

Johannes Wicht is a leading researcher at the Max Planck Institute for Solar System Research , where he heads the "Planetary Interior" group since 2014. His work focuses on planetary interior dynamics and magnetic field generation through dynamo processes, utilizing the open-source MHD code MagIC . Research Tools: Numerical MHD simulations Key Applications: Jupiter's interior, Mercury's magnetic field, Earth's geodynamo His research spans classical and computational fluid dynamics, with significant contributions to understanding zonal jets in gas giants and geomagnetic secular variation. Wicht has received the Billing Award from the Max Planck Society for scientific computing. Collaborations include institutions like the University of Göttingen, University of Bayreuth, and IGP Paris. Recent publications emphasize: Turbulent dynamo models for Jupiter Stochastic frameworks for geomagnetic reversals Ensemble assimilation techniques in geodynamo prediction Scientific Awards: Billing Award for scientific computing, Max Planck Society (2004) Wicht's work bridges planetary physics, computational astrophysics, and fluid dynamics through high-resolution simulations.

Mariya TonevaView profile

Professor

• Computational Neuroscience
• Natural Language Processing
• Machine Learning
• +2 more

Mariya Toneva is a Tenure-track Professor (W2) at the Max Planck Institute for Software Systems in Saarbrücken, Germany, where she leads the Bridging AI and Neuroscience (BrAIN) group. Her research integrates machine learning, natural language processing, and neuroscience to develop computational models of language processing in the brain and improve NLP systems through brain alignment. Her research vision focuses on bidirectional benefits: 1) Using brain data to develop better language models that align with human cognition, and 2) Using insights from language models to understand human language processing. Current projects investigate how episodic memory can enhance long-term LLM agents and how speech models can better reflect neural processing hierarchies. Toneva's recent publications demonstrate significant contributions in brain-LLM alignment, with work appearing at ICLR, CogSci, TMLR, EMNLP, and INTERSPEECH. Her research group systematically examines why language models align with brain recordings and develops methods to improve this alignment through brain-tuning techniques. She actively seeks PhD students and postdoctoral researchers for projects involving neuropixel data analysis of speech processing and multimodal transformer architectures. Toneva regularly presents keynotes at major conferences (e.g., ELLISxUniReps Speaker Series) and participates in workshops on NeuroAI and cognitive modeling. Her interdisciplinary approach combines techniques from machine learning, natural language processing, and cognitive neuroscience to address fundamental questions about language representation in both artificial and biological neural systems.

• Computer Networks
• Distributed Systems
• Edge Computing
• +4 more

Osama Abboud is a researcher affiliated with Technische Universität Darmstadt. He holds a PhD in Computer Science from the same institution (2012), focusing on quality adaptation in peer-to-peer video streaming using scalable video coding. His work spans computer networks, distributed systems, edge computing, and federated learning. Key contributions include innovations in P2P video streaming resilience, serverless federated learning optimization, and mission-critical AI systems. He has collaborated extensively with researchers like Ralf Steinmetz and Michael Gerndt, publishing in venues such as IEEE Trans. Ind. Informatics, NetSoft, and ICC. His research emphasizes practical system design for heterogeneous environments, energy efficiency, and real-time performance. Education: PhD in Computer Science (Darmstadt University of Technology, 2012). Research Interests: Peer-to-Peer Systems, Edge Computing Architecture, Federated Learning Optimization, AI-driven Network Adaptation, and Low-Power Hardware Integration. His work bridges theoretical foundations with practical implementations in distributed environments. Notable Projects: Development of Apodotiko (serverless federated learning framework), MARQ (mission-critical AI system), and contributions to edge computing architectures like Trabant and Host Bypassing. These projects aim to enhance scalability, reduce latency, and improve sustainability in distributed systems.

• Primate Behavior
• Evolutionary Ecology
• Conservation Biology
• +3 more

Martha Robbins is a Group Leader at the Max Planck Institute for Evolutionary Anthropology, based in Leipzig, Germany. Her research focuses on the evolution of sociality in gorillas, combining long-term field studies in Rwanda, Uganda, and Gabon with conservation initiatives. Robbins has led projects in Bwindi Impenetrable National Park (Uganda), Volcanoes National Park (Rwanda), and Loango National Park (Gabon), studying mountain and western gorillas. Her work integrates ecology, genetics, and behavior to understand primate social structures, reproductive strategies, and conservation challenges. Education: PhD in Zoology (University of Wisconsin, 1996), M.S. Zoology (University of Wisconsin, 1993), B.S. Biology/Psychology (University of South Carolina, 1989). Academic roles include: Research Associate, Max Planck Institute (1998–present) Visiting Assistant Professor, Gustavus Adolphus College (1997–1998) Lecturer, University of Wisconsin (1995–1997) Research interests emphasize gorilla feeding ecology, social behavior, genetics, and conservation. She collaborates with organizations like the North Carolina Zoo and Cleveland Metroparks Zoo on education programs. Her work highlights the interplay between ecological conditions, human impact, and primate population dynamics. Robbins also serves on conservation councils including GRASP and IUCN Great Apes committees. Key contributions include documenting gorilla dietary flexibility, analyzing group dynamics, and advocating for habitat protection. Her studies on mountain gorilla population growth and genetic diversity underscore the importance of long-term monitoring. Recent research explores facial expression coding (GorillaFACS), arboreal locomotion in gorillas, and the role of culture in primate conservation strategies.

• Comparative Politics
• Comparative Political Institutions
• Radical Right Party Support
• +3 more

Dr. Onawa Promise Lacewell is a Senior Researcher at the Social Science Research Center Berlin (WZB), focusing on comparative politics, radical right party support, and globalization's societal impacts. She holds a Ph.D. in Political Science from the University of Missouri (2010) and a B.S. from Southeast Missouri State University (1999-2003). Her work bridges theoretical and empirical research in political institutions and electoral dynamics. Key affiliations include the WZB bridging project on Cosmopolitanism and Communitarianism (2010-2014) and the MARPOR project on political representation (2009-2021), funded by the German Research Foundation (DFG). Her research explores how institutional and issue-based factors shape political behavior, particularly in Europe and the U.S. Publications span peer-reviewed journals like Party Politics and European Political Science Review , analyzing globalization's political consequences and value shifts in societies. Collaborations with scholars like Wolfgang Merkel and Céline Teney highlight her focus on transnational political dynamics.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +3 more

Md. Ismail Hossain is an active academic researcher with a focus on Artificial Intelligence , Machine Learning , and Cybersecurity . His work spans both theoretical and applied domains, including Neural Network Pruning , Electric Vehicle Charging Systems , and Security Analysis of emerging technologies. Key Research Themes : Neural network optimization, deepfake detection, and energy systems integration Recent Trends : Articles from 2022-2025 show increasing focus on AI model efficiency and security frameworks

• Machine Learning
• Wireless Communications
• Signal Processing
• +3 more

Dr. Donghun Lee is a Professor in the School of Mechanical Engineering at Soongsil University, South Korea. His research focuses on interdisciplinary areas spanning Machine Learning, Wireless Communications, and Control Systems. He holds a PhD from Princeton University (2019), where his dissertation explored Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . His work bridges theoretical advancements with practical applications in IoT, manufacturing systems, and signal processing. Research Interests : - Machine Learning (Reinforcement Learning, Deep Learning) - Wireless Communications (Secrecy Communications, MIMO Systems) - Control Systems (Power Electronics, Optimization) - IoT Networks and Smart Manufacturing Recent Trends in Publications : Dr. Lee's recent work emphasizes practical applications of AI in manufacturing (e.g., OLED display scheduling), secure wireless protocols, and efficient neural network architectures. His 2025 papers highlight contributions to financial network analysis and sparse coding techniques for low-latency communications. Awards & Grants : No awards explicitly listed in the text, but his extensive publication record suggests sustained research funding. Labs/Teams : Collaborates widely across disciplines, with affiliations to robotics, signal processing, and semiconductor research groups.

Diana LangeView profile

Researcher

• Historical Cartography
• East Asian Studies
• Tibetology
• +3 more

Professor Dr. Diana Lange is a researcher affiliated with the University of Hamburg, holding positions in the Faculty of Asian and African Studies (Asien-Afrika-Institut) and the Centre for the Study of Manuscript Cultures (CSMC). She is a principal investigator in the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA), focusing on historical maps as knowledge resources. Her work emphasizes Tibetan cartography, East Asian map coloration, and the materiality of maps. Lange has authored/co-authored over 40 publications, including monographs like Colors on East Asian Maps (2023) and edited volumes such as Maps and Colours (2024). Her research bridges cultural heritage preservation, historical geography, and art history. Education: Doctoral degree in Sinology and Tibetology Affiliations: CSMC, UWA Cluster, Asien-Afrika-Institut Research interests center on mapping practices across cultures, with a focus on pre-20th century East Asia and the Himalayas. She leads projects analyzing mapmaking as a knowledge process, including the Harrer Collection and British Library’s Wise Collection. Recent articles explore Tibetan ethnographic mapping, Korean 19th-century cartography, and color symbolism in historical maps. She frequently presents at international conferences and organizes workshops on map analysis.

• Ancient History
• Greek Epigraphy
• Manuscript Cultures
• +2 more

Jan Trosien is a Doctoral Researcher in Ancient History at the University of Hamburg's Centre for the Study of Manuscript Cultures (CSMC). His research focuses on inscriptions containing legal regulations in Ancient Athens, examining their material qualities and communicative roles within the polis. He is part of the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA) under Research Field B07. Education: Master of Arts (MA) Research Interests: Trosien investigates how legal inscriptions in Athens functioned as written artefacts, analyzing their visibility, readability, and comprehensibility. His work challenges traditional views on the symbolic vs. functional roles of inscribed laws. Projects: His dissertation project, 'Communicating a Code of Conduct,' explores the intersection of procedural law and materiality in Athenian inscriptions. He is affiliated with UWA, a multidisciplinary initiative studying manuscript cultures. Contact: Trosien can be reached at his email jan.trosien@uni-hamburg.de or via the CSMC office in Hamburg.

Daniel DietschView profile

Researcher

• Static Analysis
• Software Model Checking
• Formal Methods
• +3 more

Dr. Daniel Dietsch is a researcher at the Department of Computer Science, Faculty of Engineering, University of Freiburg. He specializes in Static Analysis , Software Model Checking , and Formal Methods , with focus areas including Requirements Engineering, Modeling Processes, and Software Verification. Research Trends : His recent work centers on automated verification tools for software systems, addressing bitwise operations, race conditions, and hybrid models. Key contributions include the Ultimate framework series (Automizer, Kojak, Taipan, GemCutter, Referee) for SV-COMP competitions. Scientific Output : Over 140 publications since 2011, with significant activity in 2024 (53 entries) and 2023 (39 entries). Tools developed by his team are available via GitHub and web interface . Teaching Roles : Regularly instructs courses like Automata Theory , Program Verification , and Cyber-Physical Systems since 2011, including both theoretical and practical components. Collaborations : Works closely with Matthias Heizmann, Frank Schüssele, Dominik Klumpp, and Andreas Podelski on verification technologies.

• Domain Specific Languages
• User Interfaces for Embedded Systems
• Software Engineering
• +3 more

Jelena Barth is affiliated with the Department of Informatics at the University of Freiburg. She focuses on domain-specific languages and user interfaces for embedded systems . Her work intersects with software engineering, program analysis, and cyber-physical systems. Teaching Roles: She has been actively involved in teaching since at least 2011, covering courses such as Software Engineering , Cyber-Physical Systems , Automata Theory , and Decision Procedures . Recent courses include: Summer 2025: Automatentheorie (Proseminar), Softwaretechnik Winter 2024/25: Cyber-Physical Systems I, Softwarepraktikum Research Involvement: She contributes to projects like Ultimate , SMTInterpol , and Hybrid Systems Verification . Her work spans formal methods, static code analysis, and model-based testing. She is part of the Software Modeling and Verification (SWT) research group. Lab/Team Affiliation: Active contributor to the Graduiertenkolleg and involved in projects like Wireless Fire Alarm Systems and Quasi-Dependent Variables research.

Tobias KögelView profile

Researcher

• Radar Localization
• Radar Signal Processing
• Software Defined Radio
• +5 more

Tobias Kögel is a doctoral candidate and researcher at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His work focuses on advanced radar systems, signal processing, and RF technologies. Kögel holds an M.Sc. in Electrical Engineering and Information Technology (EEI) and has been actively engaged in research since 2020. His research interests span radar localization, radar signal processing in FPGAs, software-defined radio, switched injection-locked oscillators (SILOs), and UHF-RFID systems. He seeks students for projects involving hardware development, FPGA programming (VHDL/Verilog), and Python-based simulation of radar algorithms using Kalman filters. Kögel has contributed to over a dozen peer-reviewed publications since 2019, addressing topics like bistatic radar networks, time-frequency synchronization, and hybrid RFID-odometry localization. His work frequently appears in IEEE journals and conferences such as IEEE Radar Conference and International Microwave Symposium. He advises students on hardware design, FPGA implementation, and algorithm development. His lab (LHFT) focuses on microwave photonics, radar systems, and RFIC design.

Antoine HuetView profile

Researcher

• Auditory Neuroscience
• Neural Coding
• Optogenetics
• +3 more

Antoine Huet, PhD, leads the Auditory Circuit lab at the Institute for Auditory Neuroscience (IAN), focusing on neural code integration in the auditory brainstem with emphasis on phase-locking enhancement and optical stimulation techniques for auditory pathway research. His research spans: Auditory Neuroscience Neural Coding Optogenetics Computational Neuroscience Information Theory Photopharmacology The lab employs a multidisciplinary approach combining optical cochlear stimulation, single neuron recordings, information theory analysis, confocal/light sheet microscopy, and computational modeling to decode auditory processing mechanisms. Scientific awards: None mentioned in source text. Research support and advising: Funded by DFG Cluster of Excellence MBExC "From Molecular Machines to Networks of Excitable Cells" Funded by DFG Priority Program 1926 "Next Generation Optogenetics" Supported by Institute for Auditory Neuroscience No formal PhD/Master's advisees were explicitly listed in the provided text. The Auditory Circuit lab collaborates with IAN's Optogenetic Cochlear Implant Research Program to investigate neural code integration in physiological/pathological conditions (e.g., cochlear deafferentation), with direct applications for optical cochlear implant coding strategies.

Nicholas MouttotosView profile

Researcher

• European Private Law
• Contract Theory
• European Contract Law and Financial Crisis
• +2 more

Dr. Nicholas Mouttotos is a Postdoctoral Researcher at the University of Bremen's Faculty of Law, Department of Commercial Law. His research focuses on European private law, contract theory, and the impact of Europeanization on mixed legal systems such as Cyprus. He holds a PhD from Maastricht University (2021) and has received scholarships from the Max Planck Institute and the Cyprus State Scholarship Foundation. Education: PhD in Private Law, Maastricht University (2015–2021) LL.B. in Law, University of Cyprus (2008–2012) Master’s in European Law at Maastricht University (2013–2014) Advanced courses in Law & Economics and International Law Research interests include European contract law, comparative legal theory, and the interplay between substantive law and procedural mechanisms in consumer protection. His work analyzes how EU directives reshape national legal systems, particularly in hybrid jurisdictions like Cyprus. Publications reflect a focus on EU law harmonization, procedural efficiency, and transnational legal frameworks. Recent work examines the application of Unidroit Principles, disclosure duties in cross-border contracts, and civil procedure reforms in Cyprus. Scientific Awards: Max Planck Institute Scholarship (Visiting Scholar) Cyprus State Scholarship Foundation Fellowship His research bridges theoretical contract law with practical challenges in implementing EU norms, contributing to debates on legal certainty and procedural fairness in transnational contexts.