Find Academic Supervisors

• Cognitive Psychology
• Neuroscience
• Language Production
• +5 more

Karin Humphreys is an Associate Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University. Her research focuses on cognitive mechanisms underlying language production, tip-of-the-tongue states, speech errors, and the impact of medical terminology on public health understanding. Primary research areas: Cognitive Psychology, Neuroscience, and Psycholinguistics Key contributions: Implicit learning in language errors, aging-related memory studies, and autism communication research Research Trends : Recent work (2022-2015) examines attentional mechanisms (desirable difficulty effects), speech rhythm in impaired speakers, self-triage decision-making, and cognitive control in video game players. Publications span journals like Cognition , Frontiers in Psychology , and PLoS ONE . Teaching Contributions : Has instructed courses in psychometrics, human cognition, quantitative methods, and advanced psychology topics (2001-2025). Notable courses include PSYCH 3MT3 (Psychometrics) and PNB 2XA3 (Human Perception & Cognition).

• Computer Vision
• Human Activity Forecasting
• First-Person Vision
• +9 more

Kris M. Kitani is an Associate Research Professor at the Robotics Institute of Carnegie Mellon University and a Research Scientist at Meta's Artificial Intelligence division. He co-directs the Extended Reality Technology Center (XRTC) at CMU and holds courtesy appointments in the Electrical and Computer Engineering Department at CMU and as a Guest Professor at the University of Tokyo's Institute of Industrial Science. Education : BS in Electrical Engineering (University of Southern California), MS and PhD in Computer Science (University of Tokyo) Labs : Cognitive Assistance Laboratory His research focuses on computer vision , human activity forecasting , and inverse reinforcement learning with applications in human-centered robotics and assistive technologies . Recent work explores 3D scene understanding , multi-modal sensing , and generative models for physical simulation . Publications analyze pedestrian interaction modeling , human pose estimation , and zero-shot learning for robotic applications. Scientific Awards : Marr Prize Honorable Mention, ICCV 2017 Best Paper Honorable Mentions at CHI 2017/2020 Best Papers at W4A 2017/2019 Best Application Paper, ACCV 2014 Kitani has advised 8 current PhD students and 18 past PhD/MSc students. He has taught graduate-level courses in Computer Vision and Statistical Techniques in Robotics since 2013. The lab develops autonomous systems for real-world perception and interactive decision-making.

• Multimedia
• Computer Vision
• Machine Learning
• +4 more

Dr. Min Xu is a Professor at the School of Electrical and Data Engineering (SEDE) within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). She leads the Visual and Aural Intelligence Laboratory at UTS's Global Big Data Technologies Centre (GBDTC). Her research focuses on multimedia, computer vision, and machine learning, with recent emphasis on machine learning algorithms for data analytics, computer vision applications, and CV/RF integrated sensing for healthcare and smart homes. Education: Doctorate of Philosophy, University of Newcastle, Australia Master of Computing, National University of Singapore Bachelor of Engineering, University of Science and Technology of China Dr. Xu has authored over 250 publications in top-tier venues like IEEE T-PAMI and CVPR, secured over $5M in research funding since 2018, and holds editorial roles at IEEE Transactions on Multimedia and Neurocomputing. Her work bridges theory and application, addressing challenges in multi-modality data fusion, personalized services, and affective computing. Key Contributions: Pioneer in multimedia affective/semantic analysis and multi-modality fusion Developed frameworks for privacy-preserving cross-domain recommendation and WiFi-based human tracking Recipient of ARC Future Fellowship (2018–present) She supervises PhD and Master’s students and teaches courses including Image Processing and Cloud Computing. Current projects emphasize AI-driven healthcare solutions and multimodal AI search engines.

• Neuroscience
• Neural Circuits
• Sensory Processing
• +5 more

Michael Harvey is a Lecturer in the Medicine Section at the Faculty of Science and Medicine, University of Fribourg. He holds a dual role as Technical Officer within the same section, focusing on academic and technical support. His research primarily centers on neurophysiological mechanisms, particularly the interplay between basal forebrain, thalamus, and cortical networks in regulating sensory processing and behavioral states. Dr. Harvey’s work emphasizes neural circuit dynamics, including optogenetic modulation of brain regions like the visual thalamus and basal forebrain. His studies explore how these areas govern attention, sleep architecture, and default mode network activity. Key topics include frequency-specific modulation of auditory cortex, temporal coding in somatosensory systems, and the role of ventral pallidum in transitioning between internal and external behavioral states. His publications span 20 years, with a focus on neural network regulation, thalamic gate control, and neurophysiological adaptations across species. While no formal awards are listed, his contributions to understanding cortical-laminar dynamics and optogenetic applications highlight innovative methodological approaches. No students or grants are explicitly mentioned in the provided information.

• Cognitive Psychology
• Cognitive Neuroscience
• Visual Cognition
• +3 more

Federica Degno is a Senior Lecturer in Psychology at Bournemouth University, specializing in cognitive neuroscience. She holds a PhD from University of Southampton and completed research fellowships at University of Central Lancashire, University of Cambridge, and Macquarie University. Her research examines visual cognition during reading, focusing on foveal/parafoveal processing and the integration of eye-tracking with neural measures. Key areas include: Eye movement patterns during sentence comprehension Effects of aging on word predictability Auditory-visual attention interactions Neural correlates of fixation events Recent publications (2021-2025) demonstrate methodological innovation in co-registration techniques and substantive findings on aging effects, auditory distraction, and semantic processing during reading. Work consistently employs eye-tracking, event-related potentials, and behavioral measures across diverse populations. As Programme Leader for BSc Psychology, she oversees undergraduate curriculum. She supervises doctoral candidates including Petar Atanasov (sentence reading) and Laura Rettie (auditory distraction). Professional memberships include the Experimental Psychology Society and Psychonomic Society. She serves as Associate Editor for Journal of Cognitive Psychology.

Wolfram BurgardView profile

Professor

• Artificial Intelligence
• Robotics
• Mobile Robotics
• +3 more

Prof. Wolfram Burgard is a Professor for Robotics and Artificial Intelligence and Founding Chair of the Engineering Department at the University of Technology Nuremberg. Previously, he was a professor of computer science at the University of Freiburg (1999–2021), where he established the renowned Autonomous Intelligent Systems research lab. His research focuses on probabilistic techniques for robot navigation, state estimation, and control, with notable contributions to SLAM, path-planning, and mobile robot applications such as museum tour-guides (Rhino/Minerva) and autonomous vehicles. His research interests span artificial intelligence, mobile robotics, and autonomous systems. Key projects include deploying interactive museum robots, developing autonomous parking systems (2008), and the pedestrian-like Obelix robot (2012). He has authored over 350 papers, co-authored seminal books like Probabilistic Robotics , and holds the prestigious Gottfried Wilhelm Leibniz Prize (2009) and ERC Advanced Grant (2010). He is an ECCAI and AAAI Fellow, and member of the German Academy of Sciences Leopoldina and Heidelberg Academy of Sciences. Prof. Burgard coordinated the BrainLinks-BrainTools Cluster of Excellence (2012–2019), funded by the German Research Foundation. His work emphasizes real-world applications, including industrial plant supervision and autonomous driving systems. His Erdős number is ≤4, and his publications are indexed on Google Scholar.

• Developmental Biology
• Molecular Genetics
• Embryology
• +6 more

Caroline Hoppe is an Associate Research Scientist in the Genetics Department at Yale School of Medicine, Yale University. She holds a PhD in Developmental and Molecular Biology from the University of Manchester (2019) and a BSc in Biochemistry and Cell Biology from Jacobs University (2015). Her research focuses on developmental genetics, transcriptional regulation, CRISPR technologies, and molecular imaging. She collaborates with prominent researchers such as Antonio Giraldez and Mina Kojima on topics like maternal-to-zygotic transition and embryonic development. Key research areas: Embryology, Drosophila genetics, genomic regulatory elements, and bioinformatics. Notable work includes live imaging techniques for mRNA and transcription dynamics, CRISPR-Cas9 applications, and analysis of BMP signaling gradients. Her publications span developmental biology to cancer genomics, with a focus on molecular mechanisms driving embryonic development and genetic regulation in model organisms. She has contributed to tools like the MS2/MCP system for transcription visualization and GEARs for protein function studies.

• Transcriptomics
• Data Science
• Bioinformatics
• +4 more

Jingyi Jessica Li is a Professor at the University of California Los Angeles (UCLA), holding joint appointments in the Departments of Statistics and Data Science, Human Genetics, Computational Medicine, and Biostatistics. Her research focuses on developing statistical and computational methods for analyzing high-throughput genomic data, with applications in transcriptomics, single-cell analysis, and epigenetics. She earned her B.S. in Biological Sciences from Tsinghua University (2007) and her Ph.D. in Biostatistics from UC Berkeley (2013). Her work emphasizes methodological advancements in bioinformatics, including tools for single-cell RNA-seq analysis (e.g., scDesign, scImpute), contamination detection (scCDC), and differential expression (PseudotimeDE). She has contributed significantly to understanding transcriptional regulation, epigenetic mechanisms, and translational control in biological systems. Research Themes: Single-cell genomics, statistical methodology, computational biology, epigenomics, and systems biology Labs/Teams: jsb_ucla Lab Dr. Li has received numerous accolades, including the COPSS Emerging Leader Award (2023), ISCB Overton Prize (2023), and a Radcliffe Fellowship (2022–2023). Her work bridges statistical rigor and biological insight, addressing challenges in large-scale genomic data interpretation.

• Corpus architectures
• Historical corpora
• Parallel corpora
• +5 more

Martin Klotz is a Researcher at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Collaborative Research Center (SFB1412) and the Research Unit for Emerging Grammars (RUEG). His work focuses on corpus linguistics, computational linguistics, and digital humanities infrastructure. He holds an MSc in Cognitive Systems (2019, University of Potsdam) and a BA in German Linguistics & Computer Science (2015, Humboldt University). Key research interests include corpus architectures, historical and parallel corpora, language modeling for non-standard varieties, and research software engineering. He contributes to projects like the RUEG corpus and FALKO learner corpus, emphasizing multilingual and multimodal corpus development. His publications span corpus design, software tools (e.g., Annatto), and analyses of heritage languages. He actively organizes academic events, such as the 2021 DGfS short working group on contrastive corpus methodology. He participates in lab collaborations like Deutsch Diachron Digital and contributes to open-source corpus tools. His work bridges computational methods with linguistic theory, focusing on dynamic language systems.

Maruf DhaliView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +8 more

M.A. (Maruf) Dhali, Dr. is an Assistant Professor in Artificial Intelligence at the University of Groningen's Bernoulli Institute (Faculty of Science and Engineering) and concurrently holds an Assistant Professor position in the Qumran Institute (Faculty of Religion, Culture and Society). He specializes in machine learning, pattern recognition, and computer vision with a focus on historical document analysis, particularly the Dead Sea Scrolls. His work bridges AI and cultural heritage preservation. Education: Ph.D. in Artificial Intelligence (ERC-funded project on Dead Sea Scrolls), M.Sc. (Distinction) in Computer Vision, Machine Learning & Robotics (Heriot-Watt University, 2015). Additional studies at the Universities of Burgundy (France), Girona (Spain), and Edinburgh (UK). Research Interests: Machine Learning applications in historical document analysis, handwriting recognition, deep learning, and probabilistic robotics. His work has been featured in PLoS ONE , Springer LNCS , and international media including BBC News and The Independent. Grants & Projects: Principal Investigator for NWO HAICu Project (2024-2030) on Dutch cultural heritage data. Formerly part of the ERC-funded Dual-mode Time Axis Calibration project (2016-2021). Awards: Knapp Lecture Scholar at the University of Oxford (2025). Invited speaker at global institutions including KU Leuven, University of Basel, and NTNU. Teaching: Coordinates courses like Pattern Recognition , Deep Learning Practical , and Handwriting Recognition . Co-teaches interdisciplinary modules such as Apocalypse and Politics and The Text Awakens .

Peer NeubertView profile

Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +3 more

Prof. Dr. Peer Neubert is a Professor and Head of the Intelligent Autonomous Systems (INTAS) Working Group at the University of Koblenz. He is affiliated with the Department of Computer Visualistics (Department 4) and serves as Head of the Institute of Computational Visualistics. His academic roles include membership in the Department Council and Library Committee of FB4. His research focuses on robotics, computer vision, and autonomous systems, with particular emphasis on visual place recognition, SLAM, hyperdimensional computing, and adaptive navigation in dynamic environments. Neubert's work spans theoretical advancements and practical implementations, such as benchmarking systems (e.g., HS3-Bench), efficient algorithms (FETCH, LocalSPED), and sensor-based solutions (HealthWalk). His team addresses challenges in long-term navigation, environmental adaptation, and data-efficient learning. Collaborations include external PhD students like Kenny Schlegel and projects like MineSweeper, demonstrating interdisciplinary impact. His contributions are reflected in over 50 publications since 2007, covering topics from hyperspectral segmentation to biomedical applications. While no formal educational details are provided, his extensive research output and leadership roles underscore his expertise in computational visualistics and autonomous systems.

Luke OsbornView profile

Assistant Professor

• Neuroengineering
• Biomedical Engineering
• Prosthetics
• +5 more

Luke Osborn, PhD, is an Assistant Professor in the Department of Biomedical Engineering at Case School of Engineering, part of Case Western Reserve University. He also holds an affiliation with the School of Medicine. His research focuses on restoring and enhancing human sensorimotor function through neuroengineering, bioinspired instrumentation, and human-machine interfaces. Key projects include developing neuromorphic tactile sensing systems for robotic limbs, multimodal stimulation paradigms for sensory feedback, and understanding neural mechanisms underlying sensorimotor integration. Dr. Osborn's work integrates noninvasive and invasive approaches to stimulate peripheral nerves and the somatosensory cortex, aiming to improve prosthetic functionality and human-machine integration. Recent advancements include multilayered e-dermis sensors, real-time thermal/touch feedback systems, and intracortical microstimulation techniques to modulate tactile sensitivity. His research spans materials science, computational modeling, and clinical applications. Publications emphasize sensory feedback mechanisms, neural stimulation technologies, and prosthetic system design. He has contributed to breakthroughs in tactile perception restoration and thermal feedback systems, with a focus on improving user experience and functionality in assistive devices. His work frequently involves collaborations across engineering, neuroscience, and clinical medicine. Scientific awards and recognition are not explicitly listed, but his prolific publication record and high-impact journals (e.g., Nature Biomedical Engineering , Science Robotics ) underscore his contributions. His lab focuses on translational research, bridging engineering innovations with clinical needs in neuroprosthetics and neural interfaces.

Rachel DenisonView profile

Assistant Professor

• Visual Neuroscience
• Cognitive Science
• Perceptual Decision-Making
• +4 more

Rachel Denison is an Assistant Professor in the Department of Psychological & Brain Sciences at Boston University. Her research focuses on understanding how the brain constructs perceptual experience through integrating visual perception, attention, and decision-making processes with a particular emphasis on temporal dynamics. She directs the Denison Lab, which combines behavioral measurements (psychophysics, eye tracking), neuroimaging (fMRI, EEG/MEG), and computational modeling to explore these mechanisms. Dr. Denison holds a PhD from U.C. Berkeley and is affiliated with interdisciplinary programs including the Center for Systems Neuroscience and the Cognitive Neuroimaging Center. Her work addresses fundamental questions about perceptual processing, decision-making under uncertainty, and the neural basis of temporal attention. Recent research highlights include studies on Bayesian decision-making in autism, temporal attention effects in fronto-cingulate cortex, and computational models of sensory evidence integration. The lab's methodologies emphasize cross-disciplinary approaches to bridge psychological theory and neurobiological mechanisms. Lab members have received UROP awards for research in 2025, and Denison has presented in prominent venues like the Cognitive Neuroscience Society 'Rising Stars' session. Collaborations span visual neuroscience, cognitive modeling, and clinical applications of perceptual processes.

Varghese PeterView profile

Lecturer

• Speech Perception
• Language Development
• Auditory Cognition
• +3 more

Dr. Varghese Peter is a Lecturer in Psychology at the University of the Sunshine Coast's School of Health. He holds a PhD from Macquarie University and degrees from the University of Mysore in India. His research focuses on speech perception and language development in infants/children, auditory cognition, and neural oscillations in speech processing. Dr. Peter uses EEG, psychophysics, and linear neural encoding models to investigate how environmental and genetic factors influence language acquisition. He has held academic positions at Western Sydney University and Macquarie University. Education : PhD (Macquarie University), MSc (University of Mysore), BSc (University of Mysore) Affiliations : School of Health, Discipline of Psychology His research explores topics such as maternal input quality, bilingualism, and genetic risks (e.g., dyslexia) on speech development. He also studies auditory perception impairments in conditions like dyslexia and hearing loss. Dr. Peter has secured research grants including the $495,500 'Perceptual and cognitive optimisation of visual augmented reality displays' and the $20,000 'Effect of age and background noise on cortical EEG entrainment to natural conversation'. Awards : Vice Chancellors Excellence in Research Interdisciplinary Group Award (2020) Director of Research Award for Team Research (2019) Society for Neurobiology of Language Travel Award (2009) Teaching areas include Introduction to Psychology and Personality Assessment. His work bridges developmental neuroscience and clinical applications, with recent publications focusing on cortical entrainment in dyslexia and neural mechanisms of speech perception in infants.

Perry CarterView profile

Associate Professor

• Social Geography
• Urban Geography
• Economic Geography
• +4 more

Dr. Perry Carter is an Associate Professor in the Department of Geography and the Environment at Texas Tech University. His research focuses on social, urban, and economic geography, with a particular emphasis on racial identity construction through spatial narratives, geographic methodologies, and the role of tourism in cultural memory. He holds a Ph.D. in Geography from Ohio State University (1998). Dr. Carter's work critically examines how spaces like plantation museums, urban landscapes, and memorial sites encode racial and historical narratives. His recent studies explore the commodification of slavery in Southern tourism, the role of African American museums in cultural landscapes, and the intersection of technology with medical geography. He teaches courses including Economic Geography, Research Methodology, and Social/Cultural Geography. His research methodologies include virtual ethnography, narrative mapping, and affective geographies. Notable contributions include analyzing visitor perceptions of Southern heritage sites and interrogating the ethics of plantation tourism. His work bridges critical race theory, spatial analysis, and cultural studies to challenge dominant historical narratives.