جست‌وجوی استاد و پژوهشگر

• Computational Arts
• Generative Systems
• Immersive Environments
• +۵ مورد دیگر

Graham Wakefield is an Associate Professor in the Department of Computational Arts at York University's School of the Arts, Media, Performance and Design (AMPD). He is also a Canada Research Chair in Computational Worldmaking and leads the Alice Lab, focusing on biomorphic intelligence and immersive mixed realities. His research spans generative systems, artificial life, and creative software development, with notable collaborations on the 'Artificial Nature' series and contributions to the AlloSphere project. Wakefield holds a Ph.D. in Media Arts and Technology from UC Santa Barbara and has taught and researched globally, including at institutions like KAIST and Sogang University in South Korea. Education: Ph.D., Media Arts & Technology, University of California, Santa Barbara (2007–2012) M.Sc., Media Arts & Technology, UC Santa Barbara (2004–2007) M.Mus., Composition, Goldsmiths College, University of London (2002–2004) B.A. (Hons), Philosophy, University of Warwick (1994–1997) Research Interests: Wakefield’s work emphasizes open-ended computational systems applied to immersive environments and generative art. His projects explore bio-inspired systems, generative audiovisual composition, and interactive installations. Key themes include real-time systems, modular synthesis, and the intersection of art and AI. The Artificial Nature series exemplifies his focus on evolving ecosystems and user interaction. Publications & Awards: His work has been exhibited at SIGGRAPH, ISEA, and NIME. Notable awards include the VIDA 16.0 competition and a Best Paper at NIME 2013. Recent publications address modular synthesis, live coding, and immersive environments. Grants & Service: He has secured grants from the Canada Foundation for Innovation, SSHRC (Canada Research Chair), and others. Wakefield actively chairs committees for AI initiatives, faculty searches, and interdisciplinary research units like the Centre for Artificial Intelligence & Society. Labs & Collaborations: The Alice Lab at York University develops tools like COSM and gibber , and collaborates on projects such as the Synaptic Time Tunnel for SIGGRAPH 2023. Wakefield co-authored Generating Sound & Organizing Time and contributes to Max/MSP/Jitter through Cycling '74.

• Formal Language Theory
• Machine Learning
• Semantic Parsing
• +۶ مورد دیگر

Johanna Björklund is an Associate Professor at the Department of Computing Science , Umeå University, specializing in Formal Language Theory , Machine Learning , and Semantic Parsing of Multimodal Data . Her research focuses on translating complex media (e.g., videos with audio/subtitles) into graph-based semantic representations for algorithmic processing. Current projects include WARA Media & Language (2024–2026) and AI-Driven Contextual Communication (2021–2023). Key research areas: tree automata , graph transduction , contextual advertising , and computational linguistics . Her recent publications highlight advances in tree-to-graph transduction , multimodal semantic analysis , and privacy-preserving advertising . She has secured significant grants, including SEK 12 million (2021) and 4 million SEK (2020), for AI and deep learning initiatives. Grants: SEK 12 million (2021) for AI projects. 4 million SEK (2020) for Deep Learning methods. Scientific Awards: Lead researcher in multiple EU-funded projects. Recognized for contributions to formal languages and machine learning . She collaborates with teams in semantic analysis , tree automata , and multimodal AI , emphasizing practical applications like visual analytics and advertising systems .

Aidan Slingsbyمشاهده پروفایل

مدرس ارشد

• Data Visualization
• Geographic Information Systems (GIS)
• Spatial Analysis
• +۵ مورد دیگر

Dr. Aidan Slingsby is a Senior Lecturer in the Department of Computer Science at City, University of London, where he is part of the giCentre Research Centre. He serves as the Director of the MSc in Data Science programme and oversees the department's entire postgraduate offerings. His academic career at City spans over a decade, progressing from Research Fellow to his current position as Senior Lecturer since 2018. His educational background includes: PhD in Geography from University College London (2006) MSc in Geographical Information Science from University of Edinburgh (2002) BSc (Hons) in Geology from University of Edinburgh (2001) Dr. Slingsby's research focuses on data visualization for spatial and temporal data analysis. His work involves creating, designing, applying and evaluating both static and interactive information visualization techniques for data exploration and analysis. He specializes in integrating cartographic principles with information visualization methodologies to address complex analytical challenges. His research spans multiple application domains including insurance risk modeling, population studies, human movement patterns, animal tracking, and ecological monitoring. He has developed innovative visualization techniques such as glyphmaps, tilemaps, and OD maps that enable analysts to explore complex multivariate spatial datasets effectively. His publication record demonstrates a consistent focus on advancing visualization techniques for spatial-temporal data, with recent work exploring intersections with emerging technologies like large language models and advanced train delay modeling. His research shows a clear trajectory from foundational work in cartographic visualization to increasingly sophisticated applications in domains ranging from pandemic modeling to rail performance analysis. Notable scientific achievements include: Best VIS Short Paper award for 'Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling' at IEEE VIS conference Multiple honorable mentions for visualization innovations Efficient Use of Visualization award for network monitoring visualization Dr. Slingsby has successfully supervised multiple PhD students to completion and currently mentors several doctoral candidates working on cutting-edge visualization research. He has secured funding for significant projects including an EPSRC-funded multi-university initiative on visual analytics for combating COVID-19 and industry collaborations with Risk Solutions on rail performance modeling. His professional service includes editorial roles with IEEE VIS and GIS Research UK, demonstrating his standing in the visualization research community. As part of the giCentre Research Centre, he contributes to a vibrant research environment focused on geographic information and visualization. His work bridges theoretical visualization research with practical applications across multiple domains, maintaining strong connections with both academic collaborators and industry partners including Leicestershire County Council and the Willis Research Network.

Hemant Suraleمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Artificial Intelligence
• Mixed Reality
• +۳ مورد دیگر

Hemant Surale is a Researcher specializing in Human-Computer Interaction (HCI) and Applied AI, with expertise in Mixed Reality (MR), Wearable Computing, and Gestural Interfaces. His work bridges theoretical research and practical implementation in tech R&D departments at companies like Meta, Microsoft, Snap, and Google/North. He earned his Ph.D. in Computer Science from the University of Waterloo, Canada, under the guidance of Daniel Vogel, Mark Hancock, and Edward Lank. Research Focus : Hemant explores Mode-switching principles for MR applications Wearable input devices (e.g., rings, wristbands) AI integration in user interface design Empirical evaluation of interaction techniques Scientific Awards : David R. Cheriton Graduate Scholarship (3x) IDSA CS Achievement Snap Research Fellowship Advising & Collaborations : Hemant has advised multiple researchers, including Shwetha Rajaram (CHI'25), Ruei-Che Chang (UIST'25), and Junxiao (Shawn) (University of Bristol, UK). His work often involves cross-industry teams, particularly in XR and multimodal interaction projects.

Kåre Mosgrenمشاهده پروفایل

دانشیار

• Multimedia Technology
• E-Learning
• Digital Media Production
• +۴ مورد دیگر

Kåre Mosgren is an Associate Professor at the University of Agder's Department of Information and Communication Technology, specializing in multimedia technology and e-learning. He actively contributes to the Multimedia and e-Learning research group, focusing on innovative digital education tools and media production techniques. His research explores: Multimedia technology for educational enhancement Digital media production workflows and event management 3D tracking systems and interactive visualization Photography and digital image manipulation techniques Science communication through documentary production Analysis of his 14 publications (2004-2014) reveals strong emphasis on: Educational technology development (e.g., video tutorials) Marine science communication projects like MAR-ECO Practical applications in photography and 3D systems Interactive research dissemination methods He maintains professional contact at kare.mosgren@uia.no and works from the Grimstad campus.

Mattias Sköldمشاهده پروفایل

دانشیار

• Music Notation
• Sound Art
• Composition
• +۶ مورد دیگر

Mattias Sköld is a Swedish composer and sound artist currently serving as Director of Studies for composition and Programme Director for all composition programmes at the Royal College of Music in Stockholm (KMH). He successfully defended his PhD thesis titled 'Sound Notation: The visual representation of sound for composition and analysis' in June 2024 at KMH, with Professor Craig Vear from University of Nottingham as opponent and a committee including Professors Cat Hope, Palle Dahlstedt, Jason Noble, and Erkki Huovinen. His research primarily focuses on prescriptive notation, particularly notation for live-electronics and graphic notation. He is expanding his experimental notation research to include action notation, beginning with a study on notation for live-electronics ensembles in collaboration with colleague Mattias Petersson. He is also deeply involved in the development of the CoPeCo master program, a collaboration between music colleges in Stockholm, Tallinn, Lyon and Hamburg. Sköld's compositional work spans choral music, electroacoustic compositions, and algorithmic composition. His recent works include 'We Know Not Where the Dragons Fly' (part of the 2024 Eric Ericson Award semi-finals repertoire), 'Requiem' (performed by Italian choir Armonici Senza Fili in Bologna), and 'In the beginning' (presented at Nordic Music Days in Reykjavik). He has also contributed to the Halffloor sonic artwork project with his piece 'Epiphany'. Musikföreningen i Stockholm's annual scholarship recipient Member of STIM's committee for promoting musical diversity and copyrights Participant in TENOR conferences on music notation technologies As Programme Director, Sköld is actively developing new syllabi for KMH's composition master programme and has been involved in PhD defences, including serving on Fernando Garnero's committee. His position at KMH allows him to balance administrative duties with research time and composition work, maintaining a productive career across multiple domains of music creation and scholarship.

• Cinema Theories
• Cinema and Aesthetics
• Film Criticism

Dr. Ali Kaymak works as a full-time Lecturer at Kırşehir Ahi Evran University's Mucur Vocational School, Department of Visual-Audio Techniques and Media Production. Holding a PhD in Radio, Cinema and Television from Erciyes University (expected 2025), he previously completed his Master's in Radio, TV and Cinema at Atatürk University (2018) and Bachelor's at Ege University's Faculty of Communication (2014). His research focuses on Cinema Theories , Cinema and Aesthetics , and Film Criticism . Recent publications analyze: Philosophical foundations of cinema (2024) Digital platform impacts on film culture (2022) Ideological representations in war films (2021) Formal aesthetic approaches in film analysis (2020) Auteur theory applications in Turkish cinema (2018) He collaborates with Dr. Burak Medin (Erciyes University) on multiple publications. Notable contributions include book chapters on cinematic space concepts in films like Elie Faure's Sinema Felsefesi and Ahlat Ağacı .

Florian Müllerمشاهده پروفایل

استادیار

• Extended Reality
• Human-Computer Interaction
• Mobile Interaction
• +۴ مورد دیگر

Florian Müller serves as Assistant Professor for Mobile Human-Computer Interaction at Technical University of Darmstadt, leading the Urban Interaction Lab. His research pursues seamless integration of digital information, AI agents, and physical environments into unified Extended Reality (XR), with focus on novel interaction techniques for mobile XR and human-AI collaboration through body-centric, tangible, and haptic interfaces. Müller's primary research spans Extended Reality, Human-Computer Interaction, and Mobile Interaction with specialization in Haptic Interfaces, Tangible Interfaces, and Body-Centric Interaction. He investigates how multimodal sensory feedback enhances user experiences in immersive environments, particularly examining AI-driven adaptation for context-aware XR systems and the social implications of pervasive interactive technologies in urban settings. Recent publications (2024-2025) demonstrate strong interdisciplinary trends across multisensory XR (taste modulation, thermal feedback), social VR/AR applications (privacy, content sharing), and human-AI co-creation systems. Key domains include health (motor control assessment), education, and urban interaction contexts, with consistent emphasis on user experience, safety, and practical implementation challenges. Müller directs the Urban Interaction Lab at TU Darmstadt, which develops and evaluates interactive technologies for public spaces through prototyping novel mobile and XR interfaces. The lab's work emphasizes real-world deployment in urban environments, focusing on social engagement, situational awareness, and seamless interaction between physical and digital layers of city infrastructure.

Sarah Morrison-Smithمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Collaborative Work
• Accessibility in Technology
• +۶ مورد دیگر

Sarah Morrison-Smith is an Assistant Professor of Computer Science at Hamilton College. Her research explores the intersection of psychology and computer science to enhance collaborative work environments and advance accessible technological design. She teaches courses in human-computer interaction and programming languages. Ph.D., University of Florida (Human-Centered Computing) M.S., Colorado State University (Computer Science) B.S., Montana State University (Computer Science) Morrison-Smith's research focuses on human-computer interaction , collaborative tools , and accessibility . She investigates natural user interfaces for mobile devices and wearables, develops ambient displays for team awareness, and studies bioinformatics software challenges. Her recent publications analyze data-sharing transparency , gesture interaction , and collaborative workflows across 15 studies from 2015-2025. Key themes include multimodal authentication, qualitative data analysis tools, and accessibility in scientific research. NSF CRII: RUI: Transparency and Access Control in Life Science Data Sharing (2022) Google Explore CS Research (exploreCSR) Morrison-Smith employs interdisciplinary methodologies combining user studies , dataset creation , and interface prototyping . Her work spans bioinformatics, plant phenotyping, and multimodal authentication systems.

• Augmented Reality
• Computer Science
• Games Engineering
• +۴ مورد دیگر

Despoina Salpisti is an Associate Professor at the School of Informatics, Technical University of Munich, affiliated with the Chair of Augmented Reality (Prof. Klinker). Her research focuses on applications of augmented reality in technical and educational domains, including immersive visualization, collaborative environments, and user-centered design. Key research areas: Augmented Reality, Games Engineering, 3D User Interfaces Teaching activities: Courses on 3D User Interfaces, Audio for Games, and Interactive Systems Past research projects: HBP-SGA3, MEvoDiP, Virtual Gossip, and automotive human-machine interaction initiatives

Komninos Andreasمشاهده پروفایل

استادیار

• Mobile and Pervasive Computing
• Network-centric Computing Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Komninos Andreas is an Assistant Professor in the Computer Engineering & Informatics Department at the University of Patras, specializing in Mobile and Pervasive Computing, Internet of Things, and Human-Computer Interaction. His research spans intelligent environments, context awareness, and virtual reality applications. His research focuses on mobile text entry systems, psycho-cognitive modeling of human behavior, and accessibility for visually impaired users. Key areas include large language model applications for text entry evaluation, pseudo-haptic feedback in VR, and spatial multimodal alerts for industrial environments. He develops simulation tools like RoboType for realistic text entry evaluations and open-source cognitive models. Notable achievements include a Best Paper Award at the ACM Greek SIGCHI Chapter (2023) for VR text entry research. He serves as co-general chair for EICS'26 and holds leadership roles in MobileHCI'24 and UbiComp/ISWC'24 as Workshops & Tutorials Chair and Student Competition Chair respectively. Best Paper Award at ACM Greek SIGCHI Chapter (2023) Co-General Chair for EICS'26 Workshops & Tutorials Chair for MobileHCI'24 Student Competition Chair for UbiComp/ISWC'24 His publications demonstrate strong emphasis on empirical validation of text entry systems, with recent work integrating LLMs for affective phrase generation and psycho-cognitive modeling. He actively promotes open data practices in HCI research and has contributed to digital twin systems for environmental education and maritime industry applications.

• Linguistics
• African Languages
• Phonetics
• +۳ مورد دیگر

Sophie Salffner is a researcher at SOAS University of London, affiliated with the School of Languages, Cultures and Linguistics. Her work focuses on African languages, particularly the endangered Ikaan (Ukaan) language spoken in Nigeria. Research Interests: Dr. Salffner's research spans phonology, tone systems, and cultural documentation in African languages. She has conducted extensive fieldwork in Nigeria, contributing to linguistic theory and methodological innovations in language documentation. Publication Trends: Her publications include studies on Ikaan's tonal grammar, phonetic field methods, and cultural projects. She emphasizes endangered language preservation and interdisciplinary approaches combining linguistics and technology. Labs & Collaborations: Dr. Salffner collaborates with the Centre for Endangered Languages, Cultures and Linguistics (LAC) at SOAS and has worked with researchers like Brian Sands and Mark Tzika on phonetic tools and African language classification.

• Interaction Design
• User Experience
• Internet of Things
• +۴ مورد دیگر

Professor Simeon Keates serves as Dean of the School of Engineering and The Built Environment at Edinburgh Napier University. With an academic background including MA (Cantab) and PhD (Cantab), he is also a Fellow of the Institution of Engineering and Technology (FIET). His leadership extends across engineering disciplines with a strong focus on digital innovation and accessibility. His research spans Interaction Design , User Experience , and Internet of Things with particular emphasis on information freshness, assistive technologies, and universal access. His work bridges theoretical networking concepts with practical applications for real-world systems, especially in the domains of speech processing and real-time information delivery. Analysis of his publication trends shows consistent contributions to human-computer interaction, with growing focus on information freshness metrics in IoT systems. His research demonstrates interdisciplinary connections between networking theory, accessibility technology, and real-time system optimization. As an academic supervisor, he has guided postgraduate research including Mohd Al Malki's 2017 doctoral work on road safety management in Qatar. His professional activities reflect commitment to both theoretical research and practical applications that address societal challenges through technological innovation.

Tamulevičius Gintautasمشاهده پروفایل

دانشیار

• Speech Signal Processing
• Machine Learning
• Acoustic Analysis
• +۳ مورد دیگر

Assoc. Prof. Dr. Gintautas Tamulevičius serves as Director of the Institute of Data Science and Digital Technologies at Vilnius University. His primary affiliation is with the Image and Signal Analysis Group, where he contributes as a Senior Researcher and Chief Researcher in projects. Doctor of Science in Technology (2008) Pedagogical Title: Associate Professor (2014, Vilnius Gediminas Technical University) Active in IEEE Computer Society and Signal Processing Society Dr. Tamulevičius specializes in speech signal processing, with research spanning three core domains: Speech Modeling : Autoregressive/linear prediction, nonlinear fractal modeling, non-parametric approaches Recognition Systems : Deep learning-based methods, Hidden Markov models, Wave-U-Net architectures Quality Assessment : Voice phonation evaluation, vocal fold condition analysis using acoustic methods His publication trends show strong focus on: Deep learning applications for speech processing 2D feature space analysis for recognition tasks Fractal dimension-based emotion classification Language preservation through technological development Human-centered AI applications Biomedical signal processing As an educator, he has taught: Digital Signal Processing (VGTU 2012–present) Speech Signal Processing (VGTU 2008–present) Data Visualization (VGTU 2015) User Interface Design (VU 2018–present) Audio Signal Processing (VU 2020–present) His editorial contributions include reviewing for: Informatica IEEE Access Neurocomputing Baltic Journal of Modern Computing Nonlinear Analysis: Modeling and Control IEEE Journal of Biomedical and Health Informatics International Journal of Applied Mathematics and Computer Sciences He has supervised doctoral research including: Daniel Zakševski (2023–2027): Deep learning models for speech enhancement Monika Danilovaitė (2020–2026): Voice quality assessment methods Tatjana Liogienė (2012–2016): Multistage speech emotion classification

• Cognitive Science
• Psycholinguistics
• Speech Processing
• +۴ مورد دیگر

Dr. Gerda Ana Melnik-Leroy serves as Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, specializing in the Cognitive Computing Group. Her interdisciplinary work bridges cognitive science, linguistics, and data analytics with significant contributions to understanding human factors in decision-making and language processing. Her academic credentials include: Doctorate in Cognitive Sciences (2019) PhD studies at École Normale Supérieure's Laboratory of Cognitive Science and Psycholinguistics, Paris (2016-2019) Master of Cognitive Science (cognitive psychology major) from École Normale Supérieure, Paris (2014-2016) Melnik-Leroy's research examines cognitive biases in data visualization, second language phonetic acquisition, and synthetic speech perception mechanisms. She investigates how exponential growth misinterpretation affects decision-making and explores perceptual differences between congenitally blind and sighted individuals in speech processing contexts. Her methodological approach combines behavioral experiments with computational modeling to address real-world cognitive challenges. Analysis of her 15 most recent publications (2019-2025) reveals two dominant research trajectories: (1) Cognitive bias mitigation in data visualization, particularly regarding exponential growth misinterpretation and graph design optimization, and (2) Cross-modal speech processing, including L2 phonetic training efficacy and synthetic speech evaluation across diverse user populations. These streams demonstrate consistent integration of cognitive theory with practical data science applications. Within the Cognitive Computing Group, Melnik-Leroy contributes to interdisciplinary collaborations that advance human-centered computing. Her experimental work informs both theoretical models of cognition and applied solutions for educational technology and accessible human-computer interfaces, maintaining active research output through university-affiliated projects at Akademijos St. 4, Vilnius.