Find Academic Supervisors

• Cognitive Science
• Biomechanics
• Sports Psychology
• +3 more

Prof. Dr. Thomas Schack is a faculty member in the Department of Sport Science at Bielefeld University , specifically within the Faculty of Psychology and Sport Science and the Center for Cognitive Interaction Technology (CITEC) . His research focuses on the intersection of Neurocognition and Movement - Biomechanics , with significant contributions to understanding motor learning, cognitive representations in sports, and neurophysiological adaptations. Key Research Areas : Academic resilience, EEG neurofeedback applications, sport emotion validation, motor imagery classification, and balanceability enhancement through spinal cord stimulation. Notable Methodologies : Psychometric validation across cultures, longitudinal studies on student engagement, and ERP/EEG studies on motor planning and execution. Impact : His work bridges sports science with cognitive neuroscience, emphasizing cross-cultural applications (e.g., Ghanaian educational contexts) and technological interventions in athletic performance. Publications show a strong emphasis on academic resilience in educational settings, motor skill acquisition through neurocognitive frameworks, and cross-cultural psychometric validation. His recent studies analyze balanceability support systems and expertise-dependent cognitive performance in sports and chess.

Jun MorimotoView profile

Professor

• Reinforcement Learning
• Humanoid Robotics
• Exoskeleton Robotics
• +3 more

Jun Morimoto is a Professor and Head of the Department of Brain Robot Interface at ATR Computational Neuroscience Laboratories. He holds a Ph.D. in Information Science from the Nara Institute of Science and Technology (NAIST) and has held positions at Carnegie Mellon University and the Japan Science and Technology Agency (JST). His research focuses on reinforcement learning, humanoid robotics, exoskeleton systems, and brain-robot interfaces. He has led teams at RIKEN and contributed to projects such as the ICORP initiative. His work integrates neuroscience principles with robotics, emphasizing applications in assistive technologies and neurorehabilitation. Key contributions include developing exoskeleton control strategies, brain-computer interfaces, and adaptive humanoid robot systems. He has authored over 100 peer-reviewed papers, with recent work addressing EEG-based motor intent decoding and multi-site neuroimaging databases. His academic service includes organizing international conferences (e.g., Humanoid Robots, ICRA) and serving on program committees. He has also delivered invited talks on topics such as brain-controlled exoskeletons and stochastic optimal control in robotics.

Nitish V. ThakorView profile

Professor

• Biomedical Engineering
• Neuroengineering
• Neural Prosthetics
• +5 more

Nitish V. Thakor is a Professor of Biomedical Engineering and Neurology at Johns Hopkins University School of Medicine, with secondary appointments in Electrical and Computer Engineering. He directs the Laboratory for Neuroengineering and oversees the NIH Neuroengineering Training Grant. His research focuses on neural prosthetics, brain-machine interfaces, and clinical neurorehabilitation technologies. Education: B.Tech from IIT Bombay (India), M.S. and Ph.D. in Biomedical Engineering from University of Wisconsin-Madison Joined Johns Hopkins faculty in 1983 Research emphasizes translational neuroengineering: developing prosthetic limbs with sensory feedback, advanced neural interfaces, and diagnostic technologies for brain injury monitoring. The lab integrates microfabrication, stem cell biology, and integrated circuit design with clinical applications. Notable projects include DARPA-funded advanced prosthetic systems and temperature-sensitive prosthetic fingertips. Recent lab milestones include robotic hand research published in Science Advances, and student achievements like NIH fellowships and Siebel Scholar awards. Honors: IEEE Fellow (1997), AIMBE Fellow (1996), NSF Presidential Young Investigator (1985) Advising over 20 students/postdocs, he also serves as editor-in-chief of Medical and Biological Engineering and Computing . Active in global biomedical engineering outreach through conferences and educational programs.

• Biomedical Signal Processing
• Computational Neuroscience
• Brain-Computer Interfaces (BCI)
• +7 more

David B. Grayden is a Professor at The University of Melbourne, affiliated with the Melbourne School of Engineering and the Department of Electrical and Electronic Engineering . His work spans Biomedical Signal Processing , Computational Neuroscience , and Brain-Computer Interfaces (BCI) , focusing on applications in Epilepsy Research and Cochlear Implants . Melbourne Neural Engineering Laboratory member Collaborator in multidisciplinary biomedical research Key research interests include: Developing Seizure Prediction Algorithms using long-term EEG/iEEG data Neural mass modeling for Epilepsy and Inhibitory Network Behavior Optimizing Cochlear Implants via computational models Advancing Endovascular BCI Systems and Neural Stimulation Recent publications highlight trends in Machine Learning , Path Signatures , and Multi-Frequency Stimulation for SSVEP-based BCIs . His work integrates Computational Modeling with Biomedical Engineering to address clinical challenges in neuroprosthetics and sensory processing. Grayden leads projects on Neural Network Dynamics , Biomedical Signal Analysis , and Neurostimulation , often collaborating with institutions like Monash University and Royal Melbourne Hospital .

• Signal Processing
• Machine Learning
• Neural Networks
• +3 more

Professor Danilo P. Mandic, affiliated with Imperial College London, UK, is a leading researcher in signal processing, machine learning, and biomedical signal analysis. His work spans quaternion algebra, tensor networks, and neural networks for real-world applications. 2025: Published 11+ works on EEG/PPG analysis, quantum learning, and tensor-based LLM compression 2024: Active in interpretable transformers, graph learning for financial data, and hearable devices Research focuses on hypercomplex signal processing, graph neural networks, and medical AI applications. Recent work explores quaternion calculus for signal processing, tensor network structures for LLMs, and hearable device optimization. Key publication trends include: 2025 emphasis on quantum-aware learning, 2024 graph-based time series clustering, and 2023 foundational work on graph CNNs and matched filtering approaches. Collaborates extensively with Dongpo Xu, Sayed Pouria Talebi, Clive Cheong Took, and Tobias Reichenbach on projects involving ear-EEG, ECG enhancement, and financial sentiment analysis.

Marco PrinzView profile

Professor

• Neuroimmunology
• Microglia Biology
• CNS Inflammation
• +5 more

Professor Marco Prinz serves as Principal Investigator leading the Innate Immunity research group at the Institute of Neuropathology, University of Freiburg Faculty of Medicine. His laboratory investigates the critical role of brain-specific innate immune cells, particularly microglia, in neurological health and disease. Dr. Prinz's research focuses on understanding how microglia—the brain's resident macrophages—contribute to both protective and pathological processes in the central nervous system. His work examines microglial function in neuroinflammation, neurodegeneration, and autoimmune conditions like multiple sclerosis using advanced mouse models including EAE and cuprizone models. A significant portion of his recent research employs single-cell analysis techniques to characterize the heterogeneity of microglial cells in various disease states, particularly in chronic active lesions and paramagnetic rim lesions in MS patients. The laboratory has made important contributions to understanding microglial development, showing how these cells emerge from specific precursors and establish themselves in defined niches within the CNS. Their work has revealed how microglia act as both guardians and potential contributors to neurological damage, with implications for Alzheimer's disease, Parkinson's disease, and multiple sclerosis. Dr. Prinz's research team includes multiple postdoctoral researchers, PhD students, and technical staff who contribute to ongoing investigations into CNS immunity. His laboratory has pioneered techniques for studying microglia, including novel genetic tools and single-cell analysis approaches that have provided unprecedented insights into the cellular composition of brain lesions and the dynamic behavior of immune cells in neurological disorders.

• Computer Vision
• Machine Learning
• Biometrics
• +3 more

David Menotti is a prominent researcher in computer vision and machine learning, with a focus on biometrics, license plate recognition, and video analysis. He has collaborated extensively with institutions and researchers globally, contributing to over 171 publications between 2003-2025. Key research areas include face recognition, synthetic data generation, and zero-shot learning Major contributions in license plate super-resolution, sign language translation, and ocular biometrics Active in organizing competitions like FRCSyn and OCFR to advance synthetic data applications His work often combines diffusion models, CNN architectures, and multimodal approaches to solve real-world problems in unconstrained environments. Notable recent projects involve enhancing face recognition with synthetic data, vehicle color recognition under adverse conditions, and Libras-to-Portuguese translation. Menotti's publications appear in journals like Information Fusion , IEEE Access , and conferences including CVPR, SIBGRAPI, and IJCNN. He frequently collaborates with researchers such as Rayson Laroca, William Robson Schwartz, and Pedro Vidal.

Yomna AbdelrahmanView profile

Professor

• Human-Computer Interaction
• Thermal Imaging
• Usable Security
• +6 more

Dr. Yomna Abdelrahman is a Professor of Usable Security and Privacy at the Bundeswehr University Munich . Her research focuses on thermal imaging for security and privacy , virtual reality usability, eye tracking , and biometric authentication . She collaborates with researchers like Florian Alt and Albrecht Schmidt on projects exploring how thermal sensing can enhance user identification and privacy awareness . Key Research Areas : Thermal Imaging, Human-Computer Interaction, Virtual Reality, Password Security, Biometric Authentication, Eye Tracking, Privacy Her recent publications address VR emotion detection , password usability , and privacy implications of thermal imaging . She has contributed to conferences like CHI, MUM, and INTERACT, often examining security-privacy trade-offs and non-invasive biometric systems . Notably, her work on thermal attacks reveals vulnerabilities in mobile authentication through thermal residue. She holds a PhD in Computer Science from the University of Stuttgart (2018), where her thesis, "Thermal Imaging for Amplifying Human Perception," laid the foundation for her later work on thermal-based interaction and cognitive load estimation . Her collaborations span diverse domains, from smart home notifications to industrial worker assistance , reflecting her interdisciplinary approach to usable security and interactive systems .

• Socio-Technical Information Systems
• Digital Transformation
• Human-Computer Interaction
• +7 more

Prof. Dr. Henner Gimpel holds the Chair of Digital Management at the University of Hohenheim. He serves as Vice Dean for Research and Knowledge Transfer at the Faculty of Business, Economics and Social Sciences, and heads the Digital Business Management program. He also holds leadership roles at the Fraunhofer FIT's Business Informatics branch and the FIM Research Institute for Information Management, while directing the Digital Leadership Academy. University of Hohenheim - Chair of Digital Management Fraunhofer FIT - Business Informatics Branch FIM Research Institute - Director Digital Leadership Academy - Academic Director Education : Industrial Engineering (Business Administration & Applied Computer Science), Karlsruhe Institute of Technology (KIT) Doctorate in Business Informatics, Behavioral Economics, and Psychology, KIT Research Interests : His work focuses on socio-technical information systems where people, information, and digital technologies interact. Key research areas include artificial/hybrid/collective intelligence, digital health, smart sustainability, digital ethics, and IT adoption. He employs empirical studies, experiments, and design-oriented approaches, with interdisciplinary connections to psychology, computer science, sociology, medicine, and ethics. Publication Trends : Recent articles (2023-2025) span topics like AI-augmented facilitation, digital stress analysis, healthcare collaboration systems, smart energy technologies, and generative AI competencies. They reflect methodological diversity across design science research, Kano analysis, action design research, and empirical experiments. Scientific Awards : Friedrich von Klinggräff Medal Deutsches Aktieninstitut University Competition First Prize Walter-Georg-Waffenschmidt Prize for Business Administration Fugger Prize for Science Multiple Teaching Awards Practical Engagement : Through five years as McKinsey & Company management consultant and collaborations with Allianz, BMW, IBM, Siemens, and university hospitals, he bridges academic research with industry applications in digital transformation. Academic Leadership : He contributes to editorial boards (Electronic Markets) and program committees (ICIS, ECIS, WI), while pioneering cognitive apprenticeship-based teaching methods. His work impacts digital workplace design, healthcare informatics, and sustainable business models.

Aysim TokerView profile

Researcher

• Computer Vision
• Machine Learning
• Deep Learning
• +3 more

Aysim Toker is a Ph.D. candidate at the Chair for Computer Vision and Artificial Intelligence , affiliated with the Technical University of Munich . She works under the supervision of Prof. Dr. Laura Leal-Taixe and Prof. Dr. Xiaoxiang Zhu on interdisciplinary projects. Research Focus: Deep learning, sequence analysis, and remote sensing. Key Contributions: Advancing video object segmentation, Earth observation models, and anonymization techniques. Collaborations: Partnered with international researchers across multiple institutions. Publications span top venues like eLife , ICCV , NeurIPS , and CVPR , with a focus on: Deep learning architectures for multi-modal tasks Image and video analysis in remote sensing and anonymization Tracking and segmentation algorithms Her work bridges foundational computer vision research with applications in Earth science and privacy-preserving technologies.

Nori JacobyView profile

Assistant Professor

• Cognitive Psychology
• Neuroscience
• Machine Learning
• +3 more

Nori Jacoby is an Assistant Professor in the Department of Psychology at Cornell University and a Research Group Leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt. Her research bridges cognitive science, neuroscience, and machine learning to explore how internal representations shape sensory and cognitive abilities, with a focus on universality/diversity in perception and collective behavior. Education: PhD from Hebrew University of Jerusalem (ELSC), postdocs at MIT, UC Berkeley, and Columbia University Lab: Directs the CoCoCo Lab (Cornell Computational Cognition Lab) Funding: NSF-funded postdoctoral program collaborating with UC Davis, CUNY, and Princeton Research interests include: High-dimensional perceptual spaces using adaptive sampling (e.g., Gibbs sampling with people) Cross-cultural studies of music and perception via global experiments Human-AI hybrid systems for collective creativity and decision-making Recent work explores mechanisms of cultural diversity in urban populations, neural correlates of rhythm in stroke patients, and LLM alignment with human sensory judgments. Current projects include large-scale music evolution experiments and NSF-funded studies on collective intelligence. Recruitment: Actively hiring postdocs and PhD students for interdisciplinary work.

Amparo Acker-PalmerView profile

Professor

• Neurovascular Interface
• Molecular Signaling Pathways
• Vascular Biology
• +4 more

Amparo Acker-Palmer is a Professor at Goethe University Frankfurt's Institute of Cell Biology and Neuroscience, Department of Molecular and Cellular Neurobiology, and holds a Max Planck Fellow position at the MPI for Brain Research since 2014. Her research focuses on the molecular crosstalk between vascular and nervous systems at the neurovascular interface. Her primary research interests include: Neurovascular communication during CNS development Molecular pathways in vessel-nerve crosstalk Vascular roles in synaptic plasticity Ephrin/VEGF receptor signaling mechanisms Neurovascular interface in disease models Analysis of her 51 publications reveals consistent focus on vascular guidance in neural development, receptor crosstalk (particularly EphrinB2/VEGFR2), and neurovascular unit dynamics. Her work spans molecular neuroscience, vascular biology, and developmental neurobiology, with significant contributions to understanding how blood vessels instruct neuronal behavior. Her laboratory utilizes mouse and zebrafish models to investigate these processes, with recent work emphasizing therapeutic implications for neural repair and cancer metastasis.

• Neuroscience
• Computational Neuroscience
• Brain Research
• +2 more

Prof. Dr. Israel Nelken is a faculty member at the Edmond and Lily Safra Center for Brain Sciences (ELSC) at The Hebrew University of Jerusalem . He serves as the Director of ELSC, focusing on interdisciplinary research at the interface of cognitive, biological, and computational neuroscience. His work aims to advance innovative brain research through theoretical and experimental approaches. ELSC promotes a thriving interface between theory and experimentation in brain sciences. As Director, Prof. Nelken oversees research initiatives, educational programs, and collaborations within this multidisciplinary framework. The center houses 36 outstanding members , including Prof. Nelken, and offers graduate programs, postdoctoral fellowships, and summer internships. Research at ELSC spans MRI neuroimaging, microscopy, and computational modeling.

Felix BiessmannView profile

Professor

• Machine Learning
• Data Science
• Algorithmic Interpretability
• +3 more

Professor Felix Biessmann is a faculty member at Berliner Hochschule für Technik (Faculty VI – Computer Science and Media) since October 2018. He studied human cognition at Osnabrück, Zurich, and Tübingen, earned a PhD in Machine Learning from Technische Universität Berlin, and worked as a Machine Learning Scientist at Amazon (2014–2018) and an Assistant Professor at Korea University (2013). His research focuses on machine learning , data science , and algorithmic interpretability , particularly in biomedical applications (e.g., brain-computer interfaces, prosthetics), neuroscience, and social media analysis. He has supervised over 40 graduate theses on topics like TinyML for bird song detection, explainable AI, synthetic data generation, and anomaly detection in time series. Key collaborations include projects with the German Cancer Society (DKG) and Berlin Social Science Center (WZB) . Teaching roles span Python for Data Science, Advanced Machine Learning, Deep Learning, and Scientific Writing at BHT, Korea University, and TU Berlin. Education : PhD (TU Berlin, 2011), MSc (Max Planck Research School, 2007), BSc (University of Osnabrück, 2005) Current Role : Professor of Data Science at Berliner Hochschule für Technik Contact : felix.biessmann@bht-berlin.de | Luxemburger Str. 10, 13353 Berlin

Karin MoraView profile

Researcher

• Ecology
• Climate Change
• Artificial Intelligence
• +7 more

Karin Mora is a postdoctoral researcher at Leipzig University , affiliated with the Faculty of Physics and Earth System Sciences . She leads the DeepFeatures project funded by the European Space Agency and contributes to the proposed Breathing Nature excellence cluster, combining biology, economics, meteorology, and physics to study biodiversity-climate-human interactions. Research Focus : Phenological Rhythms in Ecosystems AI & Mathematical Modeling of Climate Impacts Earth System Data from Satellites and Citizen Science Scientific Contributions : DeepExtremeCubes methodology for climate extremes SpectralIndices.Jl software for remote sensing Plant Trait Coordination and Forest Monitoring Innovations Awards : Forschungspreis (Paderborn University, 2015) Technion Postdoctoral Scholarship (2014-15) Funding for EWM Summer School Course (2013) Education : PhD in Applied Mathematics (University of Bath, 2014) Master of Mathematics (University of Reading, 2008) Outreach : MDR Wissen Radio Contributions Royal Society Summer Science Exhibition Co-organizer of EuropaBON Stakeholder Dashboard