Find Academic Supervisors

Nino GrilloView profile

Senior Lecturer

• Syntax
• Psycholinguistics
• Sentence Processing
• +13 more

Nino Grillo is a Senior Lecturer in the Department of Language and Linguistic Science at the University of York, where he has been a faculty member since 2016. He holds dual PhDs in Linguistics (Utrecht University) and Cognitive Science (University of Siena). His academic journey includes research and teaching roles at Humboldt Universität zu Berlin, Universität Stuttgart, Universidade Nova de Lisboa, Consejo Superior de Investigaciones Científicas (Madrid), McGill University, and Utrecht University. He has held honorary positions at University College London and McGill University. Education: PhD in Linguistics, Utrecht University, 2008 PhD in Cognitive Science, University of Siena, 2008 Laurea in Communication Sciences, University of Siena, 2003 Research Interests: Nino Grillo's research centers on the interface between syntax and psycholinguistics, particularly the interaction between grammatical representations and sentence processing mechanisms. He investigates how syntactic structures such as passives, relative clauses, and pseudo-relatives are processed in real time, with a focus on event structure, prosody, and locality constraints. His work spans first and second language acquisition, language impairment (especially agrammatism), and cross-linguistic variation. He employs experimental methods including eye-tracking, self-paced reading, and prosodic analysis. Recent Research Trends: His recent publications (2022–2024) emphasize prosodic disambiguation in syntactic structures, processing of filler-gap dependencies in L2 learners, and the role of event structure in passive comprehension. There is a clear trend toward integrating prosody with syntax in parsing models and extending findings to multilingual contexts. Scientific Awards: Italian Psychology Society Young Scholar Award (2006) Advising and Grants: Dr. Grillo is actively involved in PhD supervision and accepts PhD students interested in sentence processing and syntax. He has led and collaborated on multiple funded research projects, including a British Academy Visiting Fellowship (2023) and a project on cross-linguistic passive processing (2018–2020). He has also contributed to projects on cross-linguistic dependency acquisition (2013–2016). Labs and Research Groups: He is a member of the Syntax and Semantics research group at the University of York. His work is highly collaborative, involving researchers from UCL, Humboldt Universität zu Berlin, CNRS Paris, Simon Fraser University, and Universidade Nova de Lisboa.

• Information Security
• Cybersecurity
• Software Testing
• +7 more

Dr. Stephan Neuhaus is a Senior Lecturer at the Zurich University of Applied Sciences (ZHAW), School of Engineering, where he contributes to the Research Focus Information Security. His work bridges applied research and practical implementation in cybersecurity, with a focus on software security, embedded systems, and human factors. Research Focus: Information Security Institution: ZHAW School of Engineering Location: Winterthur, Switzerland His research interests span information security, software testing, embedded systems security, network transparency, and usable security. He investigates how security mechanisms can be effectively implemented in real-time systems and how users interact with security-critical systems like password entry and phishing detection. His recent publications, from 2016 to 2025, reflect a strong trend in applied cybersecurity research. Key themes include fuzzing for GNSS modules, real-time security policies using BPF on FPGAs, privilege handling frameworks, and network observability. These works appear in top venues such as IEEE and ACM conferences, demonstrating technical depth and relevance to both industry and academia. Dr. Neuhaus has led and contributed to several applied research projects, including Malicious Node (lateral movement detection), OptiPhish (phishing awareness training), ATLAS (data management for pharma), and Identity Management for Wireless Networks. These projects highlight his leadership and collaboration in interdisciplinary, real-world security challenges. He is actively involved in research teams and collaborates with colleagues across institutions, particularly in projects involving secure embedded systems and network security. His work often involves FPGA implementations, software toolchains, and human-centered security evaluation.

Christoph StampferView profile

Professor

• Condensed Matter Physics
• Graphene and 2D Materials
• Quantum Devices
• +5 more

Prof. Dr. Christoph Stampfer is a full professor and director of the II. Institute of Physics (Institute 2A) at RWTH Aachen University, affiliated with the Department of Physics and the Materials Science & Engineering (MatSE) profile area. He leads the 2D Materials and Quantum Devices Group, focusing on experimental physics in graphene and 2D materials. He is also a key developer of the educational app phyphox , promoting innovative physics education. His research interests include condensed matter physics , quantum devices , spintronics , and nanoelectronics , with a focus on transport properties in graphene-boron nitride heterostructures and spin dynamics. He also pioneers smartphone-based physics experiments for education, leveraging mobile sensors for accessible, hands-on learning. His recent publications reflect a dual focus: cutting-edge research in Physical Review B and educational innovations in journals like Physics Education and European Journal of Physics . Themes include quantum phenomena in 2D materials, DIY sensor integration, and collaborative classroom experiments using mobile technology. Georg-Kerschensteiner-Preis (2023) Ars-legendi-Fakultätenpreis (2020) Falling Walls Winner (2020) RWTH Lecturer Award (2021) Lehrpreis der DPG (2019) Archimedes-Preis (2019) Lehrpreis Physik (2018) Fellowship für digitale Hochschullehre (2016) Stampfer actively supervises a large group of PhD and master’s students, including Hubert Dulisch, David Emmerich, and Katrin Hecker. His group collaborates on both fundamental research and educational outreach. He has received multiple grants supporting digital teaching and experimental physics. The phyphox project, in particular, has been widely adopted in schools and universities, supported by workshops and teacher trainings he co-organizes. The group operates advanced nanofabrication and low-temperature measurement facilities for quantum device research.

Pauline HiltView profile

Researcher

• Cognitive Sciences
• Motor Control
• Optimal Control of Human Movements
• +3 more

Pauline Hilt is a Researcher (CR INSERM) at the Université de Bourgogne Franche Comté, affiliated with INSERM U1093 and the Institut Marey. Her work focuses on understanding motor control mechanisms, individual motor signatures, and the application of action observation in motor prevention and rehabilitation. She holds a PhD in Motor Decision and Modular Control from the University of Burgundy (2015) and has conducted postdoctoral research at the Italian Institute of Technology (2015-2020) and INSERM U1093 since 2020. Education: Bachelor's in Informatics and Mathematics (2010, Nancy University) Master's in Cognitive Science (2012, Cogmaster/Paris) PhD in Motor Control (2015, University of Burgundy) Research Interests: Her studies integrate computational motor control theories with neurophysiological techniques, exploring how individual motor capabilities influence perception and neural plasticity. She develops tools for motor prevention across populations, including aging and clinical groups, using action observation protocols. Key methods include motion capture, EEG, TMS, and statistical techniques like Granger causality and dimensionality reduction. Publications: Over 20 peer-reviewed articles since 2016, focusing on topics such as motor learning temporal dynamics, interindividual motor variability, and neural mechanisms of action observation. Notable work includes studies on age-related motor adaptation and time-of-day effects on skill consolidation. Teaching: Courses in informatics, motor control, and neurosciences at undergraduate and master’s levels, including contributions to marketing and alternative education programs. Labs/Teams: Core member of the INSERM U1093 lab, collaborating on projects like motor signatures in healthy/pathological populations and translational neurophysiology applications.

Bingjiang LyuView profile

Research Fellow

• Cognitive Neuroscience
• Neurolinguistics
• Speech Processing
• +2 more

Dr. Bingjiang Lyu is a Research Associate at the Centre for Speech, Language, and the Brain (CSLB) within the Department of Psychology at the University of Cambridge. His research focuses on brain network dynamics during language comprehension, utilizing electromagnetic (MEG) and functional magnetic resonance imaging (fMRI) techniques to investigate real-time neural processing of speech and contextual information. Dr. Lyu completed his Ph.D. at Peking University in 2017, with doctoral research centered on predictive brain mechanisms and reconfiguration of large-scale brain networks underlying language processing. His primary research interests include: Cognitive Neuroscience Neurolinguistics Speech Processing Brain Imaging (fMRI and MEG) Language Comprehension Dr. Lyu's current work examines how contextual information embedded in sentences modulates incremental speech processing, revealing the spatiotemporal organization of language networks in the brain through advanced neuroimaging methodologies. His recent publications (2021-2025) demonstrate expertise in developing and applying optically pumped magnetometer MEG (OPM-MEG) technology, including novel hardware systems, deep learning-based signal processing, and multimodal neuroimaging integration. His research spans language processing, face perception, emotion recognition, and large-scale brain mapping initiatives like the Chinese Human Connectome Project, highlighting both methodological innovation and cross-cultural applications. Dr. Lyu is affiliated with the Centre for Speech, Language, and the Brain (CSLB), a multidisciplinary research hub at the University of Cambridge that integrates psychology, neuroscience, and linguistics using state-of-the-art MEG and fMRI facilities to investigate the neural basis of speech, language, and cognitive functions.

• Antennas and Propagation
• 5G/6G Communications
• Integrated Sensing and Communications (ISAC)
• +6 more

Distinguished Professor Yingjie Jay Guo is a leading academic at the University of Technology Sydney (UTS), holding positions as Professor and Director of multiple research centers including the Global Big Data Technologies Centre and the NSW Connectivity Innovation Network (CIN). His expertise spans antennas and propagation, 5G/6G communications, and integrated sensing and communications (ISAC). He has authored over 700 publications, including 350+ IEEE journal papers and six books, and holds 27 international patents. His research focuses on reconfigurable antennas, hybrid arrays, and environmental sensing using 5G/6G networks. Education: PhD (Antennas and Electromagnetics) from Xi'an Jiaotong University (1984–1987), BEng/MEng (Microwave Engineering) from Xidian University (1977–1984). Leadership Roles: Chair of ISAP International Steering Committee (2020–2021), Guest Editor for IEEE Transactions on Antennas and Propagation, and Member of Standards Australia IoT Committee. Research Contributions: Pioneered hybrid antenna arrays, base station antennas, and the Generalized Joined Coupler (GJC) matrix theory, earning the IEEE Schelkunoff Prize Paper Award (2023). His recent work includes environmental sensing projects with NSW governments to mitigate flood risks, leveraging 5G/6G networks. He has led over 30 best paper awards and is a Fellow of the Australian Academy of Engineering, Royal Society of NSW, and IEEE. Current projects include multibeam antenna systems, in-band full-duplex communications, and AI-driven metasurface design. Key Grants: NSW Smart Flood Sensing Initiative, TPG Telecom collaborations, and ARC Discovery Projects. Students: Supervised numerous PhD/MSc students in antenna design, sensing, and wireless systems. Labs: Director of TPG-UTS Network Sensing Lab and founder of GBDTC and NSW CIN.

• Edge Computing
• Wireless Networks
• Mixed Reality
• +12 more

Tao Han is an Associate Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), where he conducts cutting-edge research in edge computing, wireless networks, mixed reality, and machine vision. He leads multiple federally funded research projects supported by the National Science Foundation (NSF), including CAREER and I-Corps initiatives. His research focuses on enabling next-generation intelligent systems through innovations in wireless edge computing , deep reinforcement learning for network automation , holographic telepresence , and energy-efficient mobile networks . His work integrates AI, IoT, and immersive technologies to create scalable, secure, and adaptive systems for real-world applications. The recent article trends highlight a strong emphasis on metaverse infrastructure , XR spatial communication , UAV-based edge networks , and real-time health monitoring . These publications reflect a cohesive vision of intelligent, human-centric, and sustainable computing environments. NSF CAREER Award NSF I-Corps Program Funding Tao Han has secured over 10 federal grants as Principal Investigator (PI), including major NSF projects such as AutoEdge , AirEdge , UbiVision , and Low-Cost Holographic Telepresence . These grants support his lab’s work in developing autonomous, efficient, and immersive communication systems. He actively mentors students and collaborates with researchers like Nirwan Ansari and Chen-Chi Chu. While specific advisees are not listed, his leadership in large research projects suggests significant advisory and team-building roles. His research is conducted through a dynamic lab environment focused on edge intelligence , wireless automation , and immersive computing , where interdisciplinary teams develop prototypes and deployable systems for future networks.

• Visual Neuroscience
• Perceptual Decision-Making
• Neural Basis of Perception
• +5 more

Kristine Krug is an Associate Professor of Neuroscience in the Department of Physiology, Anatomy and Genetics at the University of Oxford's Medical Sciences Division, where she also serves as Tutorial Fellow in Biomedical Sciences at Oriel College. She maintains an additional affiliation with Otto-von-Guericke-Universität Magdeburg (ovgu.de). Her research focuses on the neural mechanisms underlying visual perception and decision-making, particularly investigating how single neurons in the primate visual cortex (area V5/MT) contribute to perceptual decisions about 3D structure and motion. Krug's research program examines how contextual factors like reward and social advice influence sensory evidence processing during decision-making. Her group employs ambiguous visual stimuli (such as Necker cubes), microstimulation techniques, and computational modeling to characterize neural signals related to perceptual decisions. Additional projects investigate the anatomical connections within visual area V5/MT using MRI and histological methods, while another line of research explores altered decision-making in psychological disorders. Analysis of her recent publications (2019-2024) reveals a strong focus on computational modeling of decision processes, cross-species comparisons of visual processing, neural connectivity mapping, and the effects of social context on perception. Her work consistently bridges single-unit neurophysiology with systems-level understanding of perceptual decision mechanisms, with increasing emphasis on methodological validation and interdisciplinary approaches. Dorothy Hodgkin Fellowship of the Royal Society (2001-2005) Royal Society University Research Fellow Fellow of the Royal Society of Biology (FRSB) Krug's research is funded by major organizations including the Wellcome Trust, Royal Society, BBSRC, and Volkswagen Foundation. Her Krug Group investigates neural circuitry underlying perceptual decisions through multiple approaches including primate neurophysiology, computational modeling, and connectivity mapping. Current work explores how social context and reward modulate visual processing, with recent publications examining developmental trajectories of social influence on perception and cross-species comparisons of visual topography.

Melanie BurkeView profile

Professor

• Cognitive Ageing
• Neuroimaging
• Cognitive Neuroscience
• +15 more

Professor Melanie Burke is a leading cognitive neuroscientist at the School of Psychology, University of Leeds, where she holds the Chair in Cognitive Ageing and Neuroimaging. She also serves as the Director of Post-graduate Research Studies (DPGRS) in the School, overseeing research training and development. Education: BSc (Hons) in Applied Physiology PhD in Visual Neurophysiology, University of Manchester Post-Graduate Certificate in Higher Education (PGCAP) Fellow of the Higher Education Academy (HEA) Her research explores cognitive and visuomotor changes across the lifespan, with a focus on healthy and pathological ageing. She employs advanced neuroimaging and neuromodulation tools including fMRI, fNIRS, EEG, TMS, and eye tracking to investigate brain-behavior relationships in memory, motor control, and interhemispheric communication. Her work aims to identify neural mechanisms underlying cognitive decline in conditions like Alzheimer’s and Parkinson’s diseases. Her recent publications highlight a strong trajectory in understanding neurodegeneration, white matter integrity, and the potential of brain stimulation to enhance cognitive function in ageing populations. Themes across her work include interhemispheric connectivity, neural plasticity, and multimodal assessment of brain function. Scientific Awards and Recognition: Fellow of the Higher Education Academy (HEA) UKCGE Supervisor Recognition Award She has secured significant research funding from the ESRC, Wellcome Trust, Alzheimer's Research UK, and an anonymous donor. As an educator, she teaches vision and the brain, leads a specialized module on advanced neuropsychological techniques (PSYC3527), and is module leader for the Ageing and Dementia course (PSYC5919) in the MSc Cognitive Development and its Disorders programme. She actively mentors postgraduate researchers and welcomes PhD applicants worldwide. She leads the Brain and Behaviour Laboratory , which integrates behavioral tasks with neuroimaging and brain stimulation, and is affiliated with the Academic Unit for Ageing and Stroke Research, Perception-Action-Control laboratory, and professional networks such as the British Neuroscience Association and the Yorkshire Vision Network.

• Consumer Behaviour
• Sustainable Marketing
• Service Marketing
• +5 more

Dr. Kareem Sani is a Lecturer in Marketing at the University of Wolverhampton , affiliated with the Faculty of Arts, Business, and Social Sciences. He holds a PhD in Marketing from the University of East London (2022) and a Master's degree (2014), with a BSc in Marketing from the University of Uyo, Nigeria (2007). His research spans consumer behavior, sustainable marketing, and business ethics. Education: PhD in Marketing (University of East London, 2022) MSc in International Marketing Management (University of East London, 2014) BSc (Hons) in Marketing (University of Uyo, 2007) Certifications: Fellow of Higher Education Academy (FHEA, 2022) Dr. Sani's research focuses on Consumer Behaviour , Sustainable Marketing , and Business Ethics , with interdisciplinary interests in human resources and business strategy. His recent publications analyze sustainable banking practices, digital HR, and customer switching behavior. He teaches modules such as Fundamentals of Marketing , Strategic Marketing , and Marketing and Digital Strategy . Key scientific awards include his FHEA fellowship. Non-academic roles include management positions in Nigerian banks (2004-2018). His work bridges academic research and practical insights from the banking sector.

• Neurophysiology
• Sleep
• Memory
• +12 more

Dr. Janie M. Ondracek is a Research Group Leader at the Chair of Zoology, Technical University of Munich (TUM), where she leads the Ondracek Working Group. She is affiliated with the Graduate School of Systemic Neurosciences (GSN) as a temporary or junior faculty member, indicating an independent early-career research position. Her work bridges zoology, neuroscience, and behavioral biology, focusing on non-mammalian models such as birds and reptiles. Her research interests include Sleep , Memory , Vocal Learning , Electrophysiology , Neural Oscillations , and the Evolution of Brain Dynamics . She employs an interdisciplinary approach combining chronic and in vitro electrophysiology, behavioral analysis, immunohistochemistry, molecular tools, and computational modeling to study how memories are consolidated during sleep in songbirds and other species. The 15 most recent publications highlight a consistent focus on sleep-related neural activity , particularly sharp wave-ripples (SWRs) , across species including zebra finches, chickens, and reptiles. Her work demonstrates evolutionary conservation of memory-related brain dynamics and explores how vocal learning in birds is modulated by sleep. Methodologically, her research spans in vivo and in vitro electrophysiology, neural population dynamics , and behavioral tracking using tools like DeepLabCut. Neural population dynamics during sleep resemble SWRs (2024) Local sleep in songbirds (2024) Age-related sleep differences in zebra finches (2023) Avian sharp wave-ripples (2019, 2016) Reptilian sleep and brain evolution (2016, 2015) Dr. Ondracek actively supervises PhD, Master’s, and Bachelor’s students and teaches courses such as Current Topics in Neuroscience: Evolution of Sleep and Neurobiology of Behavior . She mentors a diverse group of students on projects ranging from song learning analysis to optogenetics in avian brains and sleep behavior in embryos. Her lab develops and applies advanced neurotechnologies, including microdrives and real-time detection plugins, supporting a dynamic research environment focused on the intersection of evolution, sleep, and memory. She leads research projects on avian sharp wave-ripples , sleep-vocal learning interactions , and animal behavior tracking . Her lab, accessible at www.ondraceklab.com , fosters collaborative and interdisciplinary neuroscience research at TUM.

David CareyView profile

Senior Lecturer

• Behavioral Asymmetries
• Neuropsychology
• Brain Asymmetries
• +6 more

David Carey is a Senior Lecturer at the School of Psychology and Sports Science, Bangor University, affiliated with the Institute of Cognitive Neuroscience. He holds a PhD and trained as a clinical neuropsychologist, with research focusing on behavioral and brain asymmetries including handedness, footedness, visual dominance, language lateralization, and their neural correlates. His work spans neuroimaging, clinical case studies, and large-scale meta-analyses. Research Focus Dr. Carey's research examines the relationship between behavioral asymmetries and brain organization, with emphasis on: Hemispheric specialization in language and sensory processing Clinical neuropsychology of apraxia and visually guided reaching Laterality measurement methodologies Neuroplasticity following surgical interventions Cross-modal integration in perception-action systems Projects Can cerebral asymmetries be predicted from behaviour? (2019-2022): Investigated behavioral proxies for brain lateralization Can cerebral asymmetries be predicted from behaviour? (2019-2021): Developed assessment protocols for hemispheric specialization Publication Trends His 50+ publications demonstrate consistent focus on laterality phenomena, with recent work emphasizing fMRI validation, meta-analytic approaches, and clinical applications in epilepsy and language disorders. Research frequently intersects cognitive neuroscience, neuropsychology, and sports science.

Brian BridgesView profile

Senior Lecturer

• Composition and Installation Practices
• Musical Human-Computer Interaction (HCI)
• Sound Design
• +7 more

Brian Bridges is a Senior Lecturer in Music and Creative Audio and Research Director for Music, Drama, Performing Arts, and Film/Screen Studies at Ulster University's School of Arts & Humanities . He led Ulster's REF 2021 submission which ranked joint first in the UK for research impact. Education: PhD in Music (Maynooth University, 2013), MPhil in Music and Media Technologies (Trinity College Dublin, 2003), BA in English and Music (Maynooth, 2001) Research focuses on embodied cognition in sound practices , spatial music , modular synthesis , and art-technology-stem intersections . Active in international sound art festivals (Huddersfield, Belfast, NYC Electroacoustic Festival) and co-founder of Oscillations and Modulations conference-festival. Leading the £469k Presence Lab project at Ulster's Derry~Londonderry campus. His publications span sound design , musical hci , and sonic studies , appearing in journals like Organised Sound and Journal of Sonic Studies . Awards include SFHEA (2022) and FHEA (2016). Supervised 12 PhD students in areas like microtonality , inclusive music technology , and improvisation paradigms .

• Socioeconomics
• Social Philosophy
• Economic History
• +3 more

Prof. Dr. Wolfgang Faust is a full-time Professor of Socioeconomics, Organization and Finance with a focus on corporate management at Frankfurt University of Applied Sciences, affiliated with Department 4: Social Work & Health. Prior to his current role (since 2016), he held a professorship in Social Economics at Hochschule Mittweida until 2015/16. Research Focus: His work bridges socioeconomics (Schumpeterian economics, corporate ethics), social philosophy (Merleau-Ponty's phenomenology, Dilthey's life philosophy), and organizational theory. Key themes include ethical-normative business models, social management, and embodied cognition in social work. Teaching: In the Bachelor of Social Work program, he directs modules on: Sociology of Social Inequality Socioeconomics Organization & Financing Social Economy & Social Space Social Philosophy Social Management Research Leadership: He coordinated the BMBF-funded project be/pe/so (2015–2018), developing personnel/organizational development frameworks for youth welfare organizations, culminating in a national guideline.

• Machine Learning
• Artificial Intelligence
• Neuroscience
• +12 more

Maia Fraser is an Associate Professor in the Department of Mathematics & Statistics at the University of Ottawa, with a cross-appointment in the School of Electrical Engineering and Computer Science. She is also a member of the Brain and Mind Research Institute, reflecting her interdisciplinary research bridging mathematics, machine learning, and neuroscience. Her research focuses on the theoretical foundations of machine learning, especially interactions with neuroscience, and she actively explores how biological learning can inspire AI algorithms. She also contributes to contact and symplectic geometry and computational geometry. Her work increasingly addresses the societal implications of AI, including its role in mathematical discovery and AI safety. Her recent publications reveal a strong trend toward integrating reinforcement learning with temporal and spatial hierarchies, drawing from both neuroscience and geometry. She investigates regret bounds in learning, temporal abstraction, and large-scale geometric invariants, demonstrating a unique blend of mathematical rigor and AI innovation. Her work often involves interdisciplinary collaboration, particularly with neuroscientists and mathematicians. Guest editor, Bulletin of the AMS special issue on 'Will machines change mathematics?' Co-applicant on Canada-UK AI Initiative grant on modeling the self Co-organizer, 2022 Fields Medal Symposium in honor of Akshay Venkatesh Co-moderator, Panel Discussion at Forward from the Fields Medal (FFFM) 2024 Fraser leads the NSERC-CREATE-funded INTER-MATH-AI training program and is involved in the Major Thematic Program on the Mathematics of Neuroscience at the Fields Institute (2025). She has advised students and researchers across disciplines and is currently writing a book on conceptual tools for understanding AI from a societal systems perspective. Her teaching includes courses in mathematical machine learning, differential geometry, topology, and linear algebra. She maintains active research collaborations and participates in key seminars and initiatives in machine learning, symplectic geometry, and AI ethics.