Find Academic Supervisors

Matthias HauswirthView profile

Associate Professor

• Programming Education
• Software Performance
• Computer Science Education
• +3 more

Matthias Hauswirth is an Associate Professor at the Faculty of Informatics of the Università della Svizzera italiana (USI), leading the Lugano Computing Education Research Lab (LuCE) and the Software and Programmer Efficiency (SAPE) research group. His research bridges programming language design and computing education, with a focus on how people learn to program. He actively contributes to Swiss national initiatives like GymInf to train high school informatics teachers and has co-authored influential textbooks such as Informatik - Programmieren und Robotik . His teaching spans undergraduate, graduate, and teacher-training courses, emphasizing engaging pedagogy. He pioneered USI's Undergraduate Research Opportunities Program (UROP) and developed educational tools like PyTamaro, Expression Tutor, and the Progmiscon inventory. His prior work on software performance explored system-layer interactions from hardware to applications. He serves on program committees for conferences like SIGCSE and ICER, and organized ICER 2022. His contributions include innovative teaching materials, national teacher-training programs, and open-source platforms enhancing programming education globally.

Kevin K LinView profile

Professor

• Dynamical Systems
• Computational Neuroscience
• Data-Driven Modeling
• +3 more

Kevin K Lin is a Professor in the Department of Mathematics at the University of Arizona, where he maintains an active research program and teaching schedule including courses through Fall 2025. His academic profile shows he serves as a faculty member with responsibilities in both instruction and research, with office space in Math 606 and virtual availability via Zoom. He is actively involved in several research initiatives including the NSF Research Training Group in Data Driven Discovery, UQ Working Group, and Data & Dynamics Working Group. Professor Lin's research program centers on dynamical systems theory with applications to computational neuroscience and machine learning. His work bridges theoretical mathematics with practical applications in neural modeling and data science. Specific interests include data-driven modeling, model reduction techniques, computational neuroscience approaches, and exploring the connections between machine learning algorithms and dynamical systems theory. His research has evolved to increasingly focus on neural systems, cortical modeling, and the application of dynamical systems theory to understand brain function. The publication record reveals a clear progression from foundational work on dynamical systems and stochastic modeling toward increasingly neuroscience-focused applications. His recent work (2023-2025) shows strong emphasis on neural activity analysis, brain state detection, and cortical modeling, while maintaining connections to his core expertise in dynamical systems and data-driven approaches. The articles demonstrate interdisciplinary work spanning mathematics, neuroscience, and computational science with practical applications in understanding neural dynamics and brain function. Professor Lin serves on the editorial boards of two significant journals in his field: the SIAM Journal on Applied Dynamical Systems and the Journal of Computational Dynamics, indicating his standing within the mathematical and computational science communities. He appears to be actively mentoring students through the NSF Research Training Group and other working groups, though specific advisees aren't listed in the available materials. His involvement with the Data & Dynamics Working Group suggests ongoing collaborative research efforts with colleagues across disciplines. Professor Lin maintains laboratory or research group activities through the Data & Dynamics Working Group and UQ Working Group at the University of Arizona. His research environment appears to be highly collaborative, involving both mathematical theory development and applications to neuroscience problems. The working groups he participates in suggest an interdisciplinary research environment that brings together mathematicians, neuroscientists, and data scientists to tackle complex problems in neural dynamics and computational modeling.

• Open Data
• Open Access
• Research Communication
• +3 more

Christopher Gutteridge is a Senior Software Engineer (Research) at the University of Southampton's School of Electronics and Computer Science. He has been instrumental in developing key research infrastructure, including the EPrints software (versions 2.0 and 3.0) and the University's open data service. His work has significantly contributed to the open access movement and earned him prestigious awards such as the Times Higher Education Award (2012) and the Jason Farradane Award (2018). His research interests span Open Data, Open Access, and Linked Data, with a focus on improving data management practices and accessibility. He has also explored innovative applications of technology, such as QR codes for public transport information and Minecraft-based research communication. Christopher has built critical systems like the all.soton mailing list service, the ECS Intranet, and CAPE—a tool for creating static websites from datasets. His technical expertise and contributions to the information profession have been recognized through awards and his leadership in developing open science tools. Awards: Times Higher Education Award (2012): Outstanding ICT Initiative of the Year Jason Farradane Award (2018) UK's Unix & Open Systems User Group (2005) His projects emphasize collaboration, such as co-developing systems with the Library and the Technical Innovation Team, and his work continues to bridge software engineering with research dissemination.

Sean ThomasView profile

Professor

• Circular Economy
• Smart Technology and AI
• Contract Law
• +4 more

Dr Sean Thomas is a Reader at the University of York's York Law School, specializing in commercial and property law. He holds a PhD from the University of Manchester and has held academic positions at Durham, Leicester, and Anglia Ruskin Universities. His research focuses on ownership transfer in personal property, circular economy legal frameworks, and smart technology implications. He co-authored the fourth edition of Bradgate’s Commercial Law (OUP 2024) and advises projects like the Commercial Code initiative. He chairs the Staff-Student Forum and coordinates research seminars at York Law School. Education: LLB (Durham) PhD (Manchester) Research Interests: Circular economy legal challenges, smart technology in commercial law, historical development of commercial law, and property law interfaces with intellectual property and land law. His work critiques legal frameworks for circular economy transitions and smart technology impacts on ownership. External Roles: External examiner for Bristol, Manchester, and Sheffield Universities' law programs. Advisory board member for the Everyday Cyborgs and Commercial Code projects. Teaching: Leads modules on Personal Property Law and contributes to the MSc Green Chemistry. Recognized for innovative teaching methods and Problem-Based Learning. Labs/Teams: Collaborates with management scholars on circular economy projects and waste supply chains. Engaged in interdisciplinary research on servitisation and circular economy transactions.

Chris WilkinsonView profile

Senior Lecturer

• Healthcare Technology
• Cardiovascular Care
• Patient Outcomes Research
• +4 more

Chris Wilkinson is a Senior Lecturer and full-time Employability Tutor at the York Law School, University of York. He coordinates the Law School's Careers & Development Programme, leveraging his prior experience as a solicitor at Hammonds (now Squire Patton Boggs) and roles in legal education, including Head of Careers at the College of Law (now University of Law). His career also includes product management in retail and freelance careers advisory work. Education: BA Hons (Newcastle), Certificates in Legal Practice (Northumbria) and Careers Guidance (Reading), with non-practising solicitor status. His professional roles emphasize bridging legal education and industry employability. Research interests span cardiovascular care innovations (e.g., drone-delivered defibrillators, AI in healthcare) and legal profession career development. He leads initiatives to improve patient outcomes through standardized clinical measures (EuroHeart) and explores equity in healthcare access. External roles include former Chair of the AGCAS Legal Profession Task Group, instrumental in preserving the Voluntary Code for Trainee Solicitor Recruitment. His work intersects healthcare policy (e.g., atrial fibrillation management) and legal education advocacy. Labs/teams: Collaborates with interdisciplinary groups on healthcare technology and cardiovascular outcomes research. Grants and awards: Not explicitly listed, but his contributions to AGCAS and EuroHeart reflect impactful professional engagement.

Federico ReubenView profile

Senior Lecturer

• Composition
• Live Electronics
• Improvisation
• +5 more

Federico Reuben is a Senior Lecturer in the Department of Music at the University of York, UK. He holds a PhD from Brunel University and has held prior academic roles including Senior Lecturer and Course Leader in Creative Music Technology at Falmouth University. His research focuses on composition, live electronics, improvisation, sound art, and intersections between music, technology, and interdisciplinary collaboration. He co-founded squib-box , an artist-led organization promoting avant-garde music and performance. Education: PhD in Music, Brunel University (supervised by Richard Barrett and Christopher Fox) Studies in composition at The Royal Conservatoire, The Netherlands (with Louis Andriessen, Richard Ayres, Gilius van Bergeijk, and Martijn Padding) Advanced studies in human-computer interaction, digital signal processing, and algorithmic composition at the Institute of Sonology Research Interests: Studio-based composition, live electronic performance, improvisation techniques, music computing, cross-disciplinary collaboration, contemporary music aesthetics, and critical studies of digital sound culture. His work spans acoustic, electroacoustic, and mixed-media compositions, robotic sound installations, and internet-based art. Recent Articles: Focus on algorithmic creativity, telematic performance systems, and ethical challenges in AI-generated music. Notable works include Deep learning’s shallow gains (2023) and Measuring algorithmic originality (2022). Grants & Projects: Principal Investigator for Sounding Inaudible Voices (ongoing) Modularity, Immediacy, and Exchange in Laptop Improvisation (ongoing) Co-investigator for squib-box netlabel and performance network Labs/Teams: Active in the Online Orchestra Project (latency research), the Music, Science, and Technology Research Cluster at York, and the Alternative Histories of Electronic Music initiative.

• Numerical Methods
• Rock Mechanics
• Geomechanics
• +3 more

Klaus Thoeni is an Associate Professor in Civil Engineering and Associate Dean Research (Industry Engagement) at the University of Newcastle's School of Engineering. With over 15 years of expertise, he specializes in advanced numerical methods including Boundary/Discrete/Finite Element Methods applied to rock mechanics, geomechanics, mining engineering, and underground excavations. His research focuses on: Computational geomechanics and granular mechanics Rockfall protection systems and slope stability Photogrammetry and 3D monitoring Particle-based modeling of geomaterials He currently teaches courses such as ENGG1002 (Introduction to Engineering Computations) and CIVL2050 (Engineering Computations and Probability), and supervises final-year projects. Recent articles demonstrate strong focus on: Rock slope monitoring and hazard assessment DEM-BEM coupling techniques Industrial safety in mining operations Uncertainty quantification in granular systems Awards and honors include: Industry Engagement Excellence Award (2021) Excellence Award for Research Supervision (2020) Outstanding Research Award (2017) IACMAG Excellent Paper Award (2014) Amann Award (2003) He leads industry-funded projects and contributes to the open-source discrete element software YADE. His team develops photogrammetric monitoring systems for geotechnical applications, with focus on mining and infrastructure safety.

• Neuroscience
• Cortical Dynamics
• Sensory Coding
• +4 more

Laurent Bourdieu is a Research Professor at the Department of Biology of École Normale Supérieure (Paris), leading the research group 'Cortical dynamics and coding mechanisms' at the Institute of Biology. His team investigates neural network dynamics underlying sensory coding, memory formation, and spatial representation using advanced optical methods. The group develops innovative imaging technologies including scanning strategies with acousto-optic deflectors for two-photon fluorescence microscopy and fiberscopes for unrestrained animals. Research focuses on cortical processing of sensory information, particularly tactile input through rodent whiskers, with current projects examining expectation signals in sensorimotor tasks, memory formation in auditory cortex, and hippocampal spatial coding. The team actively develops novel neuroimaging techniques to overcome limitations in penetration depth, temporal resolution, and sensitivity. Publications demonstrate consistent focus on optical neuroimaging innovation, particularly wavefront shaping techniques, scattering correction methods, and voltage-sensitive indicators. Recent work emphasizes high-speed volumetric imaging, scattering compensation in deep tissues, and applications in awake behaving animals. The research bridges optical physics, neurophysiology, and computational analysis. Dr. Bourdieu mentors PhD students and postdoctoral researchers in neuroscience and optical imaging techniques. His team includes engineers, postdocs, and students working on instrumentation development and experimental neuroscience. Current projects involve collaborations on wavefront shaping, scattering correction, and voltage indicator development.

Christos ChristodoulouView profile

Professor

• Antennas and Electromagnetics
• High Power Microwaves
• Wireless Communications
• +2 more

Christos Christodoulou is a Professor and Director of COSMIAC (Aerospace Research Center) at the University of New Mexico’s School of Engineering. He leads the Department of Electrical and Computer Engineering and previously served as Department Chair (1999-2005) and Dean of the School of Engineering (2017-2023). His research focuses on antennas, high-power microwaves, wireless communications, and machine learning applications in electromagnetics. Education: PhD in Electrical Engineering (North Carolina State University, 1985), MS in Electrical Engineering (North Carolina State University, 1981), and BS in Physics and Mathematics (American University in Cairo, 1979). Research interests include cognitive radio antennas, reconfigurable systems, and electromagnetic shielding. He has published over 600 papers, 18 book chapters, and 9 books. Awards include IEEE Fellow and Distinguished Lecturer (2007-2010). He advises students in doctoral and master’s programs, with over 40 PhD and 75 MS graduates. His work at COSMIAC emphasizes aerospace research, including antenna array design and millimeter-wave technologies.

Ole Kæseler AndersenView profile

Professor

• Biomedical Engineering
• Neuroscience
• Rehabilitation Technology
• +3 more

Ole Kæseler Andersen is a Professor and Vice Dean for Research and Innovation at the Faculty of Medicine, Aalborg University, affiliated with the Department of Health Science and Technology. He leads the Center for Neuroplasticity and Pain and contributes to AI for the People initiatives. His research focuses on electrophysiological pain assessment, neurobiological mechanisms of pain, and rehabilitation engineering post-stroke. Andersen holds membership in the Academy of Technical Science. His research interests span Biomedical Engineering, neurophysiology, and rehabilitation technology, with projects like 'Effortless Listening using Brain Feedback' and 'Bevica Center for NeuroEngineering Solutions in Stroke Rehabilitation.' He has supervised 12 PhD students and received the 'Danish Research Result of the Year' (2010) for work on electrical stimulation in stroke rehabilitation. His work has been featured in 55 media outlets, addressing topics like AI in healthcare and stroke recovery. Andersen's contributions include over 426 publications, with recent work exploring thermal pain modulation, cortical activity during motor learning, and neural mechanisms of listening effort. His labs and teams prioritize translational research, bridging clinical and engineering approaches to pain and neurorehabilitation.

Baike XiView profile

Research Professor

• Cloud Chemistry
• Atmospheric Radiative Transfer
• Cloud Parameterizations
• +2 more

Baike Xi is a Research Professor in the Department of Hydrology and Atmospheric Sciences at the University of Arizona. Her expertise encompasses cloud chemistry, atmospheric radiative transfer, pollution transport, and cloud parameterizations in climate models. Xi's research utilizes advanced remote sensing techniques including radar, lidar, and satellite observations to analyze cloud microphysics, aerosol-cloud interactions, and radiative impacts. Her recent publications demonstrate consistent focus on marine boundary layer clouds, climate model validation, and aerosol radiative effects across global field campaigns like SOCRATES, ACE-ENA, and MARCUS. Current investigations emphasize Southern Ocean cloud properties, clear-sky radiative flux modeling, and biomass burning aerosols' climate impacts. She maintains extensive collaborations within major atmospheric research programs including the ARM Climate Research Facility.

• Parallel Computing
• Java Virtual Machine (JVM) Optimization
• Performance Profiling
• +5 more

Walter Binder is a Full Professor in the Faculty of Informatics at the Università della Svizzera italiana (USI). He holds a MSc, PhD, and venia docendi from Vienna University of Technology. Previously, he was a senior researcher at the Artificial Intelligence Laboratory, EPFL. His research focuses on program transformations, virtual execution environments, aspect-oriented programming, profiling, and resource management. Education: MSc from Vienna University of Technology PhD from Vienna University of Technology Venia docendi (Habilitation) from Vienna University of Technology Research Interests: His work spans JVM optimization, parallel computing, and dynamic program analysis. Notable contributions include tools like Renaissance (a JVM benchmark suite), S2S (SQL-to-Stream translator), and Akkaprof (profiler for actor-based systems). He explores topics such as thread management, vectorization, and performance profiling in distributed systems. Articles Trends: Recent work emphasizes JVM performance (e.g., Java Vector API, Native Image optimizations), parallel execution policies (NAS benchmarks), and adaptive runtime systems (e.g., MPR framework). He also investigates big data systems (Spark, Node.js) and runtime verification tools. Grants & Labs: Leads projects on JVM profiling, polyglot runtimes, and large-scale program analysis. His lab develops tools like NodeMOP for Node.js and AccStream for stream processing systems.

• Commercial Law
• Company Law
• Legal Capital Regulations
• +5 more

Andres Vutt is an Associate Professor in Commercial Law at the University of Tartu's School of Law (Faculty of Social Sciences). He has held academic positions since 1993, including roles as a Lecturer in Civil Law and Assistant研究员 at the Institute of Private Law. His career combines legal academia with legal practice, including roles at law firms like Magnusson and Concordia. He holds a Doctor's Degree (2011) and a Research Master's Degree (2005), both from the University of Tartu's Faculty of Law. Education: Magister iuris (2005) from the University of Tartu. Administrative roles include membership in the Estonian Bar Association's suitability assessment committee, editorial boards of Juridica and Juridica International , and leadership in projects like the Company Law Revision Working Group (2016–2019). Research focuses on commercial law, company law, legal capital regulations, and corporate governance. Notable projects include the Estonian Legal Space in Global Legal Space (2006–2011) and Modern Instruments for Regulating Contractual Relations (2012–2015). His publications span legal commentaries, conference papers, and books on topics like shareholder rights, legal capital rules, and data privacy in research. Key contributions include analyses of post-COVID corporate governance adaptations, legal frameworks for sharing sensitive research data, and revisions to Estonian company law. He has advised on legal policy reforms and contributed to the WJP Rule of Law Index reports for Estonia.

Moriel ZelikowskyView profile

Adjunct Professor

• Neuroscience
• Neural circuits
• Stress
• +7 more

Dr. Moriel Zelikowsky is an Adjunct Professor at the University of Utah School of Medicine's Department of Neurobiology and Anatomy. Her research focuses on the neural basis of stress, fear, and social behavior, particularly examining how neuropeptides like Tac2 mediate social isolation effects. She leads the Zelikowsky Lab, which investigates neural circuits underlying emotional and social processes. Education: BA in Philosophy (UCLA, 2006), PhD in Psychology (UCLA, 2012) Postdoctoral Training: Caltech (2019) under David J. Anderson Key research interests include: Neuropeptide regulation of aggression and anxiety Neural mechanisms of stress-induced social behavior changes Development of novel behavioral assays (e.g., SAUSI) Neural circuitry in synucleinopathies and fear disorders Major awards include the NSF Fellowship, NARSAD Young Investigator Award, and L'Oréal for Women in Science Award. Her work bridges neurobiology, behavior, and computational methods to understand internal states shaped by psychosocial experiences. Grants supported postdoctoral research on Tac2 and social isolation, with ongoing NIH-funded studies on stress circuits. Active in neuroscience policy discussions regarding the BRAIN Initiative's trajectory. Labs/Teams: Zelikowsky Lab at University of Utah School of Medicine, collaborating on neural circuit dissection and behavioral neuroscience projects.

Daoru HanView profile

Associate Professor

• Plasma Dynamics
• Space Propulsion
• Computational Plasma Physics
• +5 more

Dr. Daoru (Frank) Han is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology, where he directs the Gas & Plasma Dynamics Laboratory. His research focuses on plasma aerospace applications, space propulsion systems, and computational plasma physics, with a strong emphasis on lunar surface engineering and high-performance computing for large-scale simulations. Dr. Han holds a Ph.D. in Astronautical Engineering from the University of Southern California (2015), an M.S. in Aerospace Engineering from Missouri S&T (2011), and a B.S. in Aeronautical Propulsion from Nanjing University of Aeronautics and Astronautics (2009). His work spans plasma-material interactions, regolith beneficiation, and in-situ resource utilization for lunar exploration. His recent research trends prioritize kinetic plasma modeling of lunar surface charging, electrostatic sieving for regolith processing, and development of advanced simulation tools like PIFE-PIC for plasma dynamics. He has contributed to ground testing facilities replicating space environments and explored innovative methods for lunar aluminum production via molten salt electrolysis. While no scientific awards are explicitly listed, his extensive publication record highlights contributions to plasma physics and space engineering. Advising and grant details are not provided in the text, but his lab focuses on advancing plasma-based technologies for space exploration challenges such as dust mitigation and resource utilization.