Find Academic Supervisors

• Cybersecurity
• Industrial Control Systems Security
• Critical Infrastructure Protection
• +7 more

Dr. Naghmeh Moradpoor is an Associate Professor in Cybersecurity & Networks at Edinburgh Napier University's School of Computing Engineering and the Built Environment. She serves as program leader for MSc Advanced Security and Cybercrime and MSc Cyber Security (GA), and is a core member of the Centre for Distributed Computing, Networking and Cybersecurity. Her research spans Industrial Control System security, Critical Infrastructure Protection, IoT cybersecurity, and autonomous vehicle security. Key areas include: Anomaly detection in ICS/CNI Adversarial machine learning defense Federated learning for security Blockchain for cybersecurity Cyberbullying detection Recent publications demonstrate leadership in next-generation security challenges, particularly in connected autonomous vehicles and critical infrastructure protection. Her work combines cryptographic innovations with practical security implementations across multiple domains. Award highlights: Outstanding Woman in Cyber (Scottish Cyber Awards 2017) Top 2% most cited researcher worldwide (AD Scientific Index 2023) Multiple ENSA teaching/supervision nominations She actively supervises PhD students in cybersecurity domains and serves as Academic Editor for multiple journals including Security and Communication Networks and IET Information Security. Her leadership extends to organizing major conferences including SINCONF and CCNI.

• Computer Music
• Mobile Device Interfaces
• Bio-Technology
• +7 more

Dionisios Politis serves as an Assistant Professor at the Department of Informatics, School of Sciences, Aristotle University of Thessaloniki, where he has established a distinguished interdisciplinary career since his appointment in 2009. His academic foundation includes a BS in Physics (1992), MSc in Physical Electronics (1990), Graduate Diploma in Computing Studies from Royal Melbourne Institute of Technology (1991), and a PhD in Informatics (1998), all from Aristotle University except for the Australian diploma. His professional journey demonstrates steady progression within the university: 1993-2002: Laboratory Teaching Staff at Aristotle University 1993-2002: Research Associate & Programmer at Center of International and European Economic Law 1999-2006: EU Expert on Computer Law for South Eastern Europe & Cyprus 2002: Lecturer at Department of Informatics 2009-Present: Assistant Professor at Aristotle University Dr. Politis's research creates a unique synthesis across computer science, musicology, and law. His primary interests include Computer Music, Mobile Device Interfaces, Bio-Technology applications for Special Education, Interactive Multimedia, and Computer Law. A distinctive hallmark of his work is the connection between ancient musical traditions and modern technology, particularly through groundbreaking projects like ARION for Ancient Greek Music synthesis, Byzantine Server, and various interfaces for Byzantine music notation. Analysis of his scholarly output reveals several converging research trajectories: chromaticism in music theory with mathematical classification methods; digital music libraries and their ethical/legal frameworks; brain-computer interfaces with growing biomedical applications (particularly cochlear implants); and computer law with emphasis on e-justice. His recent publications show an increasing integration of medical technology with music interfaces, demonstrating the evolution of his interdisciplinary approach. Among his significant scholarly contributions is a Best Short Paper Award for his innovative work on variPiano™. He has edited major publications including "Digital Tools for Computer Music Production and Distribution" (2016), "E-Socioeconomic and Legal Implications of Electronic Intrusion" (2009), and "E-Learning Methodologies and Computer Applications in Archaeology" (2008), establishing himself as a thought leader in multiple domains. Dr. Politis has made substantial contributions to educational technology across diverse fields. Through the SEEArchWeb project, he developed virtual learning environments for archaeology incorporating mobile displays and GIS implementations. In medical education, he has pioneered otorhinolaryngology e-learning textbooks and specialized interfaces for healthcare practitioners. His research group, frequently collaborating with M. Tsaligopoulos, G. Kyriafinis, and D. Margounakis, continues to push boundaries at the intersection of music technology, human-computer interaction, and biomedical applications while maintaining strong connections to cultural heritage preservation through projects like Mediterranean Colors, Kalliope Server, and Meteora Server.

PerMagnus LindborgView profile

Associate Professor

• Sound Art
• Composition
• Sonification
• +12 more

PerMagnus Lindborg is a composer, sound artist, and researcher in sound perception with over 150 scholarly publications, compositions, and media artworks. Currently serving as Associate Professor at City University of Hong Kong's School of Creative Media, he teaches sound, music, research skills, and perception while coordinating research degrees. PhD: KTH Stockholm (2015) DEA: Paris (2003) IRCAM: Paris (1999) BMus: Oslo His research focuses on sound perception , sonification , spatial audio , multi-sensory environments , and data-driven art . He pioneered low-cost spatial audio solutions through the Open Ambisonics Toolkit and explores sensory heritage documentation via soundscapes and smellscape analysis in Hong Kong. Recent publications demonstrate trends in climate data sonification , neural audio processing , and immersive sound design . His work intersects computer music , psychoacoustics , and environmental art . Scientific Awards : Best New Director (World Film Carnival, Cannes Short Film Festival, ISA Awards - 2020) First Prize (Stavanger Symphony Orchestra Prize - 2002) Fellowships: The Arctic Circle (2023), SCM Team Research (2020-25), TBA The Current (2016) As principal investigator for Multi-Modal Hong Kong (GRF 2023-25) and Data Art for Climate Action (2020-23), he supervises PhD students in areas like multi-sensory cultural heritage , deep learning audio processing , and virtual reality sound design . He co-founded the SoundLab and DACA Conference .

Ge WangView profile

Associate Professor

• Computer Music
• Interactive Design
• Virtual Reality
• +3 more

Ge Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA), with a courtesy appointment in Computer Science. He is also a Senior Fellow and Associate Director at Stanford HAI. His work bridges computer science, music, and design, focusing on interactive audiovisual systems, mobile music, and AI-driven creativity. Education: Ph.D., Computer Science, Princeton University (2008) M.S., Computer Science, Princeton University (2003) B.S., Computer Science, Duke University (2000) Research Interests: Prof. Wang explores the intersection of technology and artful design, emphasizing creativity, accessibility, and human-centered innovation. His projects include the ChucK programming language, the Stanford Laptop Orchestra (SLOrk), mobile apps like Ocarina and Magic Piano (via Smule), and VR music experiences. He advocates for design that balances technical excellence with emotional and philosophical depth. Recent Work: His articles and projects focus on audiovisual systems, AI tools for music (ChAI), VR orchestras (VVRMA), and inclusive design for disabled communities. Recent work expands into web-based music programming (WebChucK) and AI-driven creative tools. Awards: 2016 MacArthur Foundation Fellowship (Guggenheim) 2020 Pamela Z Award for Inclusive Design Multiple ICMA awards for pioneering work in computer music Labs and Teams: He leads the Stanford Laptop Orchestra (SLOrk) and the Stanford VR Design Lab, fostering collaborative research in music technology and immersive experiences. His work is featured in venues like NIME, IEEE, and ACM conferences.

Esther SayersView profile

Senior Lecturer

• Arts Education
• Skateboarding Culture
• Equity in Education
• +4 more

Esther Sayers is a Senior Lecturer in Education at Goldsmiths, University of London, affiliated with the Department of Educational Studies and the Centre for Arts and Learning. Her work bridges art-based pedagogies, skateboarding culture, and social justice. She leads the MA Arts and Learning programme and supervises PhD students in Education and Arts Practice & Learning. Education: PhD in Education (2014), MA Fine Art (1995), BA Three Dimensional Design (1993), and Art & Design Foundation (1989). Prior to academia, she worked as a gallery educator at Tate Modern and Camden Arts Centre. Research focuses on participatory pedagogies, embodied learning through skateboarding, and equity in arts education. Notable projects include the City Mill Skate project (UCL collaboration) and 'ArtScapers' which reimagines creative learning in schools. Current work explores skateboarding's mental health benefits for marginalized youth and the ethics of risk-taking in motherhood. Grants include Sport England funding for UK skateable space audits and SeNSS/CHASE support for postgraduate research training. She actively engages with skate communities through public talks and media appearances.

Alina LarsonView profile

Researcher

• Human-Computer Interaction
• Psycholinguistics
• Cognitive Psychology
• +4 more

Alina Larson is a researcher specializing in human-computer interaction, psycholinguistics, and cognitive psychology. She recently worked at Heriot-Watt University on human-robot dialogue projects at the National Robotarium, collaborating with Matthew Aylett and engineers to implement more naturalistic human-robot conversation with focus on backchannels and turn-taking speed. Dr. Larson completed her doctorate in Cognitive Psychology with a focus on Psycholinguistics from UC Santa Cruz in Spring 2019. Her doctoral research examined first impressions in human-computer interaction, specifically investigating how visual and rhythmic expression affects personality judgments of both machine and human agents. She received her bachelor's degree from Lewis and Clark College in Spring 2012 with a double major in Psychology and Foreign Languages (Russian and French). Her research interests span human-robot interaction, sarcasm comprehension, collaborative synchrony, and the cognitive mechanisms underlying social perception. Dr. Larson's work bridges cognitive psychology with practical applications in artificial intelligence and human-computer interfaces, with numerous publications exploring how humans perceive and interact with machine agents. Her research demonstrates how contextual framing significantly influences how machine agents are perceived beyond just speech content. Outside academia, Dr. Larson is active in the arts and community. She enjoys playing music, particularly uilleann pipes, and has dabbled in tune-writing. She maintains an artwork portfolio and has been involved with community dance organizations including East Bay Waltz (where she helps prepare and run dances, DJs, designs logos, and takes photos) and Ceili Without Ceilings (where she helps organize events and teach dances). As a child, she advocated for the rebuilding of Cragmont School alongside her mother in Berkeley, CA. Currently, Dr. Larson works as a Social Media Marketing Specialist and Content Creator with Lark in the Morning, managing brand presence on social media sites and handling various creative tasks including newsletters, website maintenance, and photography.

Nuria OliverView profile

Researcher

• Computational Models of Human Behavior
• Human-Computer Interaction
• Intelligent User Interfaces
• +12 more

Nuria Oliver, PhD is a pioneering computer scientist and ACM Fellow , recognized as the first female Spanish computer scientist to achieve both ACM Distinguished Scientist and IEEE Fellow status. Current affiliations include Microsoft Research and former roles at MIT Media Lab. First female Spanish ACM Fellow IEEE Fellow Academia Europaea member Her research spans human behavior modeling , intelligent user interfaces , and mobile computing , with notable work in: Wearable context-aware systems (DyPERS, HealthGear) Music-adaptive exercise platforms (MPTrain, TripleBeat) Social network analysis (information propagation, community link modeling) Computer vision interfaces (LAFTER facial expression recognition) Scientific achievements include: 41 patents 15+ years of continuous multimodal systems research Recognized for LAFTER system (2000 paper) She actively promotes technology accessibility through: Media collaborations Technical/non-technical keynotes STEM outreach for girls

Corey ClarkView profile

Assistant Professor

• Artificial Intelligence
• Game Development
• Human Computation
• +4 more

Corey Clark, Ph.D., serves as Deputy Director of Research and Assistant Professor in the Department of Computer Science and Engineering at Southern Methodist University's Lyle School of Engineering. He leads the Human and Machine Intelligence (HuMIn) Game Lab, pioneering research at the intersection of gaming, artificial intelligence, and human computation to solve large-scale problems in healthcare, education, and national security. Dr. Clark holds a Ph.D., M.S., and B.S. in Electrical Engineering from The University of Texas at Arlington, where he graduated Magna Cum Laude for his undergraduate degree. His doctoral research focused on nanoscale modeling and simulation techniques for Molecular Beam Epitaxy and Chemical Vapor Deposition of exotic materials. His research spans Artificial Intelligence, Game Development, Human Computation, Distributed Computing, Machine Learning, Computational Biology, and Educational Technology. Clark is renowned for transforming commercial video games into distributed computing platforms through human computation, enabling breakthroughs in medical diagnostics and educational technology. His technical innovations in HTML5/JavaScript multithreading have been featured at major international game conferences. Analysis of Clark's 15 most recent publications (2022-2024) reveals a dominant focus on generative AI applications integrated with gaming mechanics, particularly for knowledge graph enhancement, medical diagnostics, and computational thinking education. Key trends include explainable AI systems, human-AI collaboration through gameplay, blockchain applications, and privacy-preserving machine learning, demonstrating consistent innovation in applying game-based approaches to real-world problems. Dr. Clark has secured over $1.7 million in competitive research funding, including: Human Computation for Ocular Tomography Analysis ($62,924) with Retina Foundation Cryptocurrency Transactional Analysis via Gaming ($60,000) with Raytheon Game-Based Adult Literacy (XPrize) ($480,000) Flexible Electronics for Airborne Laser ($820,000) with Missile Defense Agency Networked C4ISR Chip ($850,000) with US Army As CTO for Dallas-based game technology companies, Clark has helped raise over $12 million in startup funding. His HuMIn Game Lab currently develops immersive gameplay systems for cancer treatment research using crowdsourced computation and machine learning, with recent projects including therapeutic discovery platforms and blockchain-based task completion systems.

Elena TenenbaumView profile

Assistant Professor

• Language Acquisition
• Cognitive Development
• Autism Spectrum Disorder
• +7 more

Elena Tenenbaum is an Assistant Professor in Psychiatry and Behavioral Sciences and Psychology and Neuroscience at Duke University, where she is also a Faculty Network Member of the Duke Institute for Brain Sciences . Her research focuses on language acquisition and cognitive development in children with autism spectrum disorder (ASD) , particularly those who are minimally verbal. She employs eye-tracking , EEG , and remote assessment tools to investigate social attention, audio-visual processing, and executive function in ASD. Education: Ph.D. in Psychology from Brown University (2011), Clinical Psychology respecialization at Suffolk University. Her work bridges neuroscience and clinical psychology to understand ASD heterogeneity, with a focus on early intervention and perinatal influences . Recent publications highlight scalable remote methodologies like the RISE Battery for infant cognitive studies and LVIS for assessing communicative competence in low-verbal ASD. She has received grants including the Meeting on Language in Autism (2025-2028) and Shenoy Undergraduate Research Fellowship in Neuroscience (2025-2026). Awards include fellowships and research grants for ASD and developmental disorders. Her lab collaborates on digital phenotyping , audio-visual synchrony , and social attention mechanisms .

• Biomedical Imaging
• Radiology
• Molecular Imaging
• +5 more

Feng Li serves as an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. His work bridges the gap between advanced materials science and biomedical imaging, with a particular focus on PET imaging and molecular structure analysis. He maintains affiliation with the PET Core facility at Yale, indicating his specialized expertise in positron emission tomography techniques. His research interests span Biomedical Imaging, Radiology, Molecular Imaging, Polymer Science, and Nanotechnology. Dr. Li's work demonstrates exceptional interdisciplinary integration, applying polymer chemistry principles to develop novel imaging agents and drug delivery systems. His publications reveal expertise in cyclic polymers, nanoparticle interactions, and biosensor development, with applications ranging from cancer diagnostics to neurological imaging. Analysis of his recent publications (2024-2025) shows a strong trend toward interdisciplinary research combining materials science with medical applications. His work frequently involves molecular design of polymers for specific biomedical functions, development of novel imaging techniques, and creation of biosensors for disease detection. The publications demonstrate methodological diversity, incorporating computational modeling, chemical synthesis, and clinical validation approaches. Conjugated Polymer Nanoparticles research exploring polymer topology effects Unique Complex Structure studies of cyclic poly(ethylene glycol) on gold nanoparticles Molecular Design work on oligosaccharide-block-oligodimethylsiloxane systems Supramolecular Biosensor development for disease-associated metabolite quantification Advanced imaging techniques for cancer and neurological applications While specific grant information isn't detailed in the provided text, Dr. Li's extensive publication record across high-impact journals suggests successful funding for his research programs. His collaborative work across chemistry, radiology, and biomedical engineering departments indicates leadership in interdisciplinary research initiatives. Dr. Li's laboratory likely focuses on developing novel imaging agents and materials for medical applications, with emphasis on molecular-level design and characterization.

Matthew StammView profile

Associate Professor

• Information Security
• Multimedia Forensics
• Machine Learning
• +5 more

Matthew Stamm is an Associate Professor at Drexel University's College of Engineering, specializing in Electrical and Computer Engineering through the Multimedia and Information Security Lab (MISL). His work bridges signal processing, machine learning, and information security to detect multimedia forgeries and develop anti-forensic countermeasures. Education : PhD, MS, BS from University of Maryland, College Park Research Interests focus on Information Forensics , including synthetic media detection, deepfake analysis, adversarial dynamics, and forensic algorithm optimization. His lab explores techniques to identify AI-generated content using statistical fingerprints and scene context. Recent Publications (2025-2023) emphasize synthetic audio/video detection, forensic self-description methods, and adversarial attack mitigation. These works often leverage deep learning architectures and ensemble approaches for robust identification. Scientific Awards 2016 NSF CAREER Award 2017 Drexel College of Engineering Outstanding Early-Career Research Achievement Dean's Doctoral Research Award (University of Maryland) Ann G. Wylie Dissertation Fellowship Clark School of Engineering Future Faculty Fellowship Distinguished Teaching Assistant Award Service Roles include General Chair of ACM Workshop on Information Hiding and Multimedia Security (2017), lead organizer for IEEE Signal Processing Society's Student Competition (2018), and member of the Information Forensics and Security Technical Committee. He has received funding from NSF, DARPA, ARO, and DFBA.

Stina KleinView profile

Researcher

• Human-Computer Interaction
• Human-Robot Interaction
• Cobot Error Management in Industry
• +3 more

Stina Klein is a Scientific Associate at the Chair of Human-Centered Artificial Intelligence within the Institute of Computer Science at the University of Augsburg 's Faculty of Applied Computer Science . Her research focuses center on Human-Computer Interaction , Human-Robot Interaction , and Cobot Error Management in Industry , with applications in social robotics, affective computing, and multimodal systems. Research Interests Human-Computer Interaction Human-Robot Interaction Cobot Error Management in Industry Affective Computing Sign Language Recognition Media Memorability Teaching Lecture: Human-Computer Interaction (Summer 2025) Lecture + Exercise: Human-Robot Interaction (Summer 2025) Research Projects Open Topics for Theses & Projects FORSocialRobots KodiLL

Ruben SchlagowskiView profile

Researcher

• Human-Computer Interaction
• Mixed Reality
• Extended Reality
• +4 more

Ruben Schlagowski is a scientific employee at the Chair for Human-Centered Artificial Intelligence , part of the Faculty of Applied Informatics at the University of Augsburg . His work bridges Human-Computer Interaction with Musical XR , Sonic Interaction Design , and Extended Reality , focusing on creativity support systems and immersive experiences. Research spans Mixed Reality , AI ethics , and physiological computing Active in IEEE International Workshop on the Musical Metaverse (IWMM) and reviewing for CHI , ISMAR , and other top venues Recipients of multiple Honorable Mentions at IEEEVR , C&C , and CHI Supervised 8 Master's theses and 5 Bachelor's theses in interactive systems Publishes on AI explainability , creative tools , and physiological human-machine symbiosis , with recent work on XR-based music production , GAN manipulation , and AI bias awareness through VR. His projects integrate computer vision , audio analysis , and user-centered design to create systems that adapt to human needs. Scientific accolades include: IEEEVR 2022 - Honorable Mention C&C 2022 - Honorable Mention CHI 2024 - Honorable Mention HCMKDT Best Driver Awards (2023) His research explores the intersection of music technology , immersive systems , and ethical AI , with a focus on user experience optimization in mixed reality environments and alterfactual explanation frameworks for AI transparency.

• Road Safety
• Automated Vehicles
• Human Factors
• +3 more

Dr Xiaomeng Li is a Senior Research Fellow at the Centre for Accident Research and Road Safety – Queensland (CARRS-Q), QUT, affiliated with the Faculty of Health and School of Psychology & Counselling. She holds a PhD in Traffic and Transportation Planning and Management from Beijing Jiaotong University. Her research focuses on road safety, automated vehicles, human factors, and driver behavior, leveraging driving simulators, VR, and physiological data acquisition systems. Key projects include the development of human-centric automated vehicles, level crossing safety interventions, and evaluating driver interactions with automated systems. She has collaborated on industry projects addressing road user acceptance of AVs, eco-safe driving systems, and work zone safety. As an associate supervisor, she contributes to PhD research on pedestrian interactions with automated vehicles. Dr Li’s work bridges engineering and psychology, emphasizing human-centric design for safer transportation systems. Education: PhD in Traffic and Transportation Planning and Management (Beijing Jiaotong University) Research Interests: Road Safety, Automated Vehicles, Human Factors, Driver Behavior, Intelligent Transport Systems Projects: XAV (eXplainable Automated Vehicle), LAARMA system, Gold Coast youth road safety messaging, AR-based driving risk reduction Expertise: Driving simulators, VR setups, eye-tracking, physiological data analysis Dr Li’s recent studies explore pedestrian-AV interactions, driver trust in HMIs, and cognitive distraction mitigation. She has published extensively on traffic safety, automated vehicle acceptance, and eco-driving behaviors, contributing to safer road user practices and policy recommendations.

Luisa VerdolivaView profile

Associate Professor

• Image and Video Forgery Detection
• Deepfake Video Detection
• GAN Fingerprints Attribution
• +5 more

Luisa Verdoliva is an Associate Professor at the Department of Industrial Engineering, University Federico II of Naples, Italy. She holds a Hans Fischer Senior Fellowship at the Technical University of Munich (TUM) Institute for Advanced Study (2020–present), hosted by Prof. Matthias Nießner. Her research focuses on multimedia forensics, deepfake detection, and generative AI analysis. She has been a visiting professor at Friedrich-Alexander-University (FAU) and a visiting scientist at Google AI's Perception team. Her research interests include image/video forgery detection, GAN fingerprints, biometrics liveness detection, and remote sensing applications. Verdoliva’s work has been funded by DARPA, Google, and the Italian Ministry of Research. She serves as Chair of the IEEE Signal Processing Society’s Information Forensics and Security Technical Committee and is an IEEE Fellow (2021). Key achievements include pioneering FaceForensics++ (a benchmark dataset for manipulated facial images), winning the IEEE Signal Processing Cup (2018), and receiving the Google Faculty Research Award (2018). Her awards span best paper recognitions at CVPR, ICIP, and ICIAP conferences. As part of TUM’s Visual Computing Focus Group, her fellowship research advances digital twin technology for built environments and AI-driven media forensics. Collaborations span academia and industry, with impactful contributions to combating synthetic media misuse and improving multimedia trustworthiness.