جست‌وجوی استاد و پژوهشگر

• Computational Creativity
• Human-Computer Interaction (HCI)
• Artificial Intelligence (AI)
• +۳ مورد دیگر

Dr. Kazjon Grace is an Associate Professor in Computational Design at the University of Sydney’s School of Architecture, Design and Planning. He holds a prestigious Australian Research Council DECRA Fellowship and leads research on computational creativity, AI, and human-computer interaction (HCI). His work focuses on enabling AI systems to collaborate creatively with humans, modeling concepts like novelty, surprise, and curiosity to enhance design processes. He has secured over AU$2.5M in research grants, including DECRA funding. Grace’s research spans co-creative tools, affective computing, and AI-driven design systems, with applications in urban planning, robotics, and education. His academic background includes a strong focus on interdisciplinary research at the intersection of design, AI, and cognitive science. He teaches courses on designing with AI and information visualization. Grace’s work emphasizes ethical and human-centered approaches to AI, aiming to foster innovation through collaborative systems. He is affiliated with the Sydney Nano Institute and the Design Lab, fostering cross-disciplinary collaborations. Grace’s research outputs include over 50 peer-reviewed publications, with recent contributions to conferences like ACM/IEEE HRI and journals such as IEEE Transactions on Affective Computing. His DECRA-funded project explores how curiosity-driven systems can diversify creative behavior in design processes. He actively supervises PhD and master’s students in computational creativity and AI applications. Key awards include the ARC DECRA Fellowship (2017), recognizing his innovative work. His projects often bridge theory and practice, addressing societal challenges like sustainability and education through technological innovation.

Peter Hallمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Medical Imaging
• +۵ مورد دیگر

Professor Peter Hall is a faculty member in the Department of Computer Science at the University of Bath, affiliated with the Centre for Digital Entertainment (CDE), Centre for the Analysis of Motion, Entertainment Research & Applications (CAMERA), Visual Computing, and the Bath Institute for the Augmented Human. His research focuses on computer vision applications in computer graphics, including style transfer, tactile interfaces for visual impairment, and medical imaging techniques. He has led and collaborated on projects funded by EPSRC and EU Horizon 2020, such as the CAMERA initiative and studies on multisensory interaction. His expertise spans computer vision fundamentals like image segmentation, object recognition, and generative adversarial networks (GANs), alongside interdisciplinary work in medical imaging, robotics, and accessibility technologies. Notable contributions include deep learning-based MRI reconstruction, geometric style transfer algorithms, and tactile image generation for visually impaired users. Education details not explicitly stated in provided texts Projects include IAA tactile display systems, CAMERA motion analysis, and generative adversarial network research Advising and grants involve leadership roles in EPSRC-funded projects like 'Acquiring Complete and Editable Outdoor Models' and EU initiatives. His work aligns with UN SDGs related to health innovation and accessibility. Current research emphasizes domain adaptation techniques and cross-depiction problem solutions in computer vision.

• Cloud Computing
• Distributed Systems
• IoT Service Composition
• +۳ مورد دیگر

Dr. Abdessalam Elhabbash is a Lecturer in Distributed Systems at the Department of Computing and Communications, Lancaster University. His research focuses on IoT service composition, cloud computing, and self-adaptive systems. He is affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Centre and leads research groups such as LIRA - Environmental Modelling and LIRA - Extreme Environments. His work emphasizes ontological architectures for system composition, cloud migration optimization, and AI-driven IoT frameworks like the IoT Whisperer and TRANSITIVE. Elhabbash advises PhD student Qianhui Lin. He is contactable at a.elhabbash@lancaster.ac.uk. Research interests include: IoT service composition using large language models (LLMs) Multi-cloud performance optimization and pricing strategies Autonomous system design through ontological frameworks Predictive maintenance in Industry 4.0 environments Recent publications highlight advancements in cloud migration tools (PricingTheCloud), edge computing architectures (HolonCraft), and self-aware system development. His work bridges theoretical foundations with practical applications in smart home automation and industrial IoT. Labs/Teams: Active member of LIRA's environmental and extreme environment groups, focusing on resilient distributed systems in challenging conditions.

Anders Hedmanمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Science
• Philosophy of Mind
• +۴ مورد دیگر

Anders Hedman is an Associate Professor at the Division of Media Technology and Interaction Design (MID), part of the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. His research integrates philosophy, computer science, and psychology, focusing on cognitive endurance, AI ethics, consciousness studies, and mindfulness in technology. He holds a PhD in Human-Computer Interaction from KTH (2004) and a BA in Philosophy & Psychology from UC Berkeley (1995). Education and Roles: Docent in Media Technology and Interaction Design (2018) Associate Professor at KTH since 2010 Former Visiting Fellow at UC Berkeley (2005–2008) National Expert at the European Commission (2008–2010) Research Interests: Hedman explores the intersection of technology and human cognition, emphasizing ethical implications of AI, cognitive science, and mindfulness. His work addresses societal challenges like digital addiction, existential risks from AI, and sustainable design practices. He authored the book *Consciousness from a Broad Perspective* (2017), synthesizing interdisciplinary perspectives on consciousness. Teaching and Courses: Leads courses on AI in Society, Human-Centered Technology, and Generative AI applications. Oversees multiple degree projects in Computer Science and Engineering. Labs and Initiatives: Active in Digital Futures, a KTH-led interdisciplinary research center addressing societal challenges through digital innovation. Collaborates on projects like cognitive endurance monitoring systems and mindfulness-based digital tools.

Tim Pearceمشاهده پروفایل

استاد

• Machine Olfaction
• Neuromorphic Engineering
• Neuroscience
• +۴ مورد دیگر

Tim Pearce is a Reader in Bioengineering at the School of Engineering, University of Leicester. He holds a PhD from Warwick University and has served as a Research Assistant Professor at Tufts University Medical School. His work focuses on machine olfaction, neuromorphic engineering, and interdisciplinary applications of chemical sensing technologies. Key contributions include the development of electronic noses, biomimetic infochemical communication systems, and neuromorphic implementations inspired by insect olfactory pathways. Research Interests: Machine olfaction and sensor arrays Neuromorphic engineering and bio-inspired computation Integration of neuroscience principles into engineering systems Applications in environmental monitoring, healthcare, and security Publications highlight advancements in odor classification, spatio-temporal signal processing, and AI-driven world modeling. Notable collaborations include EU projects like Neuro-IT and AMOTH, which translated biological olfactory principles into real-world technologies. He has authored over 100 articles, including the seminal Handbook of Machine Olfaction . Awards include Fellowships from the Institute of Physics and the Higher Education Academy. Editorial roles span Frontiers in Neuromorphic Engineering and Connection Science . He actively contributes to global initiatives in neuroengineering and computational neuroscience.

Ali Adjorluمشاهده پروفایل

استادیار

• Virtual Reality (VR)
• Autism Spectrum Disorder (ASD)
• Educational Technology
• +۴ مورد دیگر

Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.

Thecla Schiphorstمشاهده پروفایل

استاد

• Embodied Cognition
• Movement Knowledge Representation
• Wearable Technology
• +۳ مورد دیگر

Thecla Schiphorst is Professor and Director of the School of Interactive Arts and Technology at Simon Fraser University. Her research bridges dance, computing, and embodied interaction, focusing on movement knowledge representation, wearable technologies, and aesthetics of interaction. With interdisciplinary MA (Dance and Computing Science) from SFU and PhD from University of Plymouth, she applies somatic models like Laban Movement Analysis to technology design. Schiphorst co-developed Life Forms, the choreographic composition tool used by Merce Cunningham for his creations (1990-2005). Her work expands embodied theory applications in HCI through research in tangible interfaces, natural interaction, and experience design. She teaches courses exploring artificial intelligence applications and ethical challenges.

Erwin Fieltمشاهده پروفایل

مدرس ارشد

• Business and IT Strategy
• Digital Innovation
• Business Model Innovation
• +۶ مورد دیگر

Dr. Erwin Fielt is a Senior Lecturer at the School of Information Systems within the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD from Delft University of Technology and an MSc from the University of Twente, both in the Netherlands. His research focuses on the intersection of business strategy and information technology, emphasizing innovation, digital transformation, and data-driven business models. Current roles include Academic Lead Learning & Teaching in the School of Information Systems and Co-lead of the Algorithmic Enterprise theme at QUT's Centre for Future Enterprise, collaborating with the Technical University of Munich's KrcmarLab. Research Interests: Dr. Fielt's work explores digital business models, AI governance, platform ecosystems, and the strategic application of emerging technologies. His recent studies address topics such as metaverse entrepreneurship, value creation in digital platforms, and the governance challenges of data-driven enterprises. Awards: He has received the Best Paper Award at ICRIIS 2011 and the Best Poster Award at dg.o 2008. His teaching includes advanced units like IT Governance (IFN631) and the IT Capstone Project (IFB399), with a focus on preparing students for digital innovation challenges. Advising & Grants: Dr. Fielt has supervised doctoral and master's students on topics like shared services, software-as-a-service adoption, and enterprise architecture. His research collaborations span industry and academic institutions globally, addressing challenges in digital innovation, platform ecosystems, and public-sector AI applications. Labs/Teams: He contributes to QUT's Centre for Future Enterprise and Centre for Data Science, leading initiatives in algorithmic enterprise strategies and digital innovation frameworks.

Eva Pfanzelterمشاهده پروفایل

دانشیار

• Contemporary History
• Holocaust Studies
• Cultures of Remembrance
• +۹ مورد دیگر

Eva Pfanzelter is an Associate Professor at the Institute of Contemporary History, University of Innsbruck, where she also serves as Deputy Director. She is a leading scholar in digital humanities, Holocaust studies, migration history, and cultures of remembrance. Her international academic engagement includes visiting professorships at Leiden University and the University of New Orleans. She leads the Research Center for Digital Humanities at the University of Innsbruck and is actively involved in major interdisciplinary research projects such as NewsEye (H2020) and optionMUDI. Her research interests span contemporary European and regional history, with a focus on transcultural memory, digital history, and public history. She has made significant contributions to understanding Holocaust memory in digital spaces, migration narratives, and the politics of commemoration. Her work integrates historical scholarship with digital methodologies, emphasizing interdisciplinary collaboration. The most recent publications highlight a strong trend in digital humanities, particularly the analysis of Holocaust memory in online and social media environments, the use of digital newspaper archives, and methodological innovations in historical research. Her work bridges traditional historical inquiry with computational tools, exploring how digital platforms shape collective memory and historical discourse. Europa Nostra Heritage Award 2024 (NewsEye project) Lehreplus! Prize 2014 (University of Innsbruck) Global Ambassador Award 2012 (Eastern Illinois University) Funding commitment 2010 (University of Innsbruck) Research scholarship 1997–1999 (Association for South Tyrolean Scholars) Pfanzelter is deeply involved in academic service, including thesis supervision, editorial work (co-editor of historia.scribere ), and leadership roles in academic governance. She has led significant research projects on return migration, digital interfaces for historical newspapers, and the memory of the South Tyrol Option. She collaborates with institutions across Europe and North America and is a respected voice in digital history and Holocaust studies. She is a key figure in the digital humanities community at the University of Innsbruck, leading the DH@Innsbruck initiative and promoting digital literacy in historical research. Her work on public history and online commemoration has influenced how institutions and scholars engage with digital memory practices.

• Virtual Reality
• Haptic Technology
• Interaction Design
• +۳ مورد دیگر

Rolf Nordahl is an Associate Professor at Aalborg University, affiliated with the Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His primary research interests include Virtual Reality (VR), Haptic Technology, Interaction Design, and Sonic Interaction Design, with applications in education and healthcare. Nordahl is actively involved in several projects, including: Audio-haptics: Exploring audio-haptic feedback systems. GAMESS: Developing VR interventions for children with autism to improve social skills. DREAM: Digitally reworking electroacoustic music. Natural Interactive Walking: Investigating haptic and auditory modalities for virtual locomotion. He has been recognized with awards such as the 2015 Winner of the 3D User Interfaces contest and a 2014 Honorable Mention for Best Paper. Nordahl’s recent research focuses on practical applications, including pain distraction for children through VR and audio-haptic soundscapes, as well as immersive geometry environments for mathematics education. Academic service includes: Chairman of the Study Board for Media Technology (2010–2016). Membership in review committees for Eurohaptics and IEEE VR workshops. Organizer of the 3rd IEEE VR Workshop on Sonic Interactions (2017). His work has been featured in media discussions on VR’s role in education and healthcare, including projects like VR environments for children’s wellbeing and participatory design approaches. Nordahl leads the Multisensory Experience Laboratory, advancing immersive technologies for diverse applications.

Antonio García Cabotمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +۵ مورد دیگر

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

Tom Fincham Hainesمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Computer Vision
• Computer Graphics
• +۱۵ مورد دیگر

Tom Fincham Haines is a Senior Lecturer in the Department of Computer Science at the University of Bath. He is affiliated with the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Mathematics and Algorithms for Data (MAD), and multiple interdisciplinary institutes including Visual Computing, IAAPS, the Bath Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB). He is actively accepting doctoral students and maintains a strong research presence in machine learning and its applications. Research Interests: Dr. Haines applies machine learning to computer vision and graphics, with a focus on graphical models, Bayesian non-parametric models, directional statistics, and active learning. His current interests include developing tools for artists, machine learning for education, online/real-time machine learning, causality, and scaling non-parametric methods for big data. His work contributes to several UN Sustainable Development Goals, particularly in health and security domains. Recent Research Trends: His recent publications (2024–2025) reflect a strong interdisciplinary focus, combining machine learning with applications in sonar imaging, drug detection, and creative media. He leverages deep learning and hybrid spectroscopic techniques for portable forensic devices and explores tangible interfaces for virtual film production, demonstrating a blend of technical innovation and societal impact. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Dr. Haines supervises doctoral students and has contributed to 8 supervised works. He is actively involved in multiple funded research projects, including as Principal Investigator (PI) on a Defence Science and Technology Laboratory project for synthetic opioid detection, and as Co-Investigator on EPSRC, MRC, Innovate UK, and National Police Chiefs' Council projects related to healthcare, chronic pain, and radicalization. His grant portfolio reflects strong collaboration across engineering, health, and security sectors. Labs and Teams: He is embedded in several research centers at the University of Bath, including the Centre for Mathematics and Algorithms for Data (MAD), the Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB), where he contributes to AI, machine learning, and visual computing initiatives. His work spans collaborative teams in healthcare technology, digital forensics, and creative computing.

Javier Gonzalez-Sanchezمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Software Engineering
• Affective Computing
• +۱۱ مورد دیگر

Javier Gonzalez-Sanchez is an Assistant Professor in the Department of Computer Science and Software Engineering at the College of Engineering, California Polytechnic State University (Cal Poly). His work bridges software engineering and human-computer interaction, focusing on creating intelligent systems capable of understanding and responding to human emotions and cognitive states. His research interests lie at the intersection of affective computing, software engineering, and interactive technologies. He aims to develop adaptive systems that enhance user experiences in education, healthcare, manufacturing, and entertainment by leveraging physiological signals such as brain activity, eye movements, and biometric data. His approach involves using cutting-edge tools including brain-computer interfaces, eye-tracking devices, and virtual/augmented reality platforms. The absence of publication data prevents detailed analysis of article trends; however, his research direction suggests strong interdisciplinary engagement with psychology, education, and health sciences. He actively involves students in hands-on research, blending teaching with innovation. Javier contributes significantly to diversity, equity, and inclusion through participation in programs such as the Learning Aligned Employment Program (LEAP), Engineering Possibilities in College (EPIC), and the Summer Undergraduate Research Program (SURP). He also supports K-12 outreach in partner schools through robotics and computational thinking initiatives funded by the Office of University Diversity and Inclusion. Additionally, he mentors Hispanic undergraduate students pursuing graduate education through the Society of Hispanic Professional Engineers (SHPE). He is involved in grant-funded projects aimed at expanding educational pipelines for underrepresented communities. While specific grants are not listed, his engagement with university diversity grants and outreach programs highlights his commitment to inclusive engineering education. Javier leads or participates in research teams focused on empathetic computing and intelligent tutoring systems, though specific lab names or team structures are not mentioned in the text.

Carlos Tirado Cortesمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Virtual Reality
• Mixed Reality Technologies
• +۶ مورد دیگر

Carlos Tirado Cortes is a Lecturer in Interaction Design at the Discipline of Design Lab , Faculty of Architecture, Design and Planning, University of Sydney. As a virtual environments researcher, he focuses on Human-Computer Interaction and data visualization in immersive systems. Ph.D in Human-Computer Interaction (University of Technology Sydney, 2021) M.S. in Computer Game Engineering (Newcastle University, UK, 2015) B.S. in Engineering and Information Technology (Monterrey Institute of Technology, Mexico, 2012) His research explores immersive visualization for wildfire training (iFire project), VR sickness analysis, and brain-body dynamics during virtual navigation. Recent publications examine: AI-powered wildfire visualization systems Metaverse safety for children Postural instability in VR environments Fire-atmosphere interaction modeling Balance recovery techniques in immersive spaces

Timothy McMahanمشاهده پروفایل

استادیار

• Adaptive Virtual Environments
• Neurogaming
• Virtual Reality
• +۷ مورد دیگر

Dr. Timothy McMahan is an Assistant Professor in the Department of Computer Science at the University of North Texas. His research focuses on adaptive virtual environments, neurogaming, and applying VR/AR technologies to neuropsychological assessment and training. He holds a Ph.D. in Computer Science (2016) and multiple advanced degrees from UNT. Education: Ph.D. Computer Science, University of North Texas (2014–2016) M.S. Computer Science, University of North Texas (2007–2013) B.S. Computer Science, University of North Texas (2003–2007) Postdoctorate in Computational Neuropsychology, University of North Texas (2016–2017) Research Interests: Adaptive VR environments for personalized user experiences Neurogaming applications in healthcare and education Machine learning for cognitive assessment and environmental adaptation EEG-based analysis of user engagement and cognitive workload VR tools for neuropsychological disorder diagnosis and treatment Recent work emphasizes VR applications in memory research, adaptive systems leveraging real-time ML predictions, and EEG-driven analyses of subjective experiences. Articles focus on bridging virtual and real-world interactions through computational neuroscience methods. No scientific awards or grants are explicitly listed in the provided materials. No advisees or lab affiliations are documented here.