جست‌وجوی استاد و پژوهشگر

Guangyu Wangمشاهده پروفایل

دانشیار

• Sustainable Forest Management
• Climate Change Adaptation
• Watershed Management
• +۵ مورد دیگر

Dr. Guangyu Wang is an Associate Professor in the Department of Forest Resources Management within the Faculty of Forestry at the University of British Columbia. He serves as Associate Dean for Asian Strategies and Director of the Asia Forest Research Centre, demonstrating significant leadership within the institution. His academic profile includes membership in the Graduate and Postdoctoral Studies program where he supervises students in Forestry (MASc, MFor, MSc, PhD). Dr. Wang's research interests span sustainable forest management and integrated watershed management, with particular emphasis on computer modeling applications. His work focuses on watershed-scale forest restoration, sustainable development projects, and Chinese forest management practices. He has developed innovative management plans and sustainable models specifically for Chinese forests. Current research includes climate change adaptation, forest carbon markets, and strategic planning for natural resources. His research portfolio includes leadership of several major initiatives: the Asia Forest Research Centre, National Park Research Center, Adaptation of Asia-Pacific Forests to Climate Change project, Asia-Pacific Forestry Education Coordination Mechanism, and the Asia-Pacific Network for Sustainable Forest Management and Rehabilitation (APFNet) Americas Office. His recent publications reveal a strong focus on carbon sequestration, forest therapy benefits, national park management, and the impacts of environmental factors on forest ecosystems across multiple continents. Asia Forest Research Centre (AFRC) - Promoting regionally specific research to enhance forestry practices in Asia National Park Research Center (NPRC) - Analyzing and evaluating national park management approaches worldwide Adaptation of Asia-Pacific Forests to Climate Change - Developing management strategies for climate-resilient forests Multidisciplinary Institute of Natural Therapy (MINT) - Bridging scientific understanding of forest therapy impacts Dr. Wang's work demonstrates a strong commitment to international collaboration, particularly between Canada and Asia-Pacific countries, addressing critical challenges in sustainable forest management, climate change adaptation, and the human-forest relationship. His research combines technical modeling approaches with practical applications for forest management policy and practice.

Kedrick Jamesمشاهده پروفایل

استاد آموزشی

• Arts-Based Research
• Digital Literacies
• Digital Research Methods
• +۵ مورد دیگر

Kedrick James is a Teaching Professor in the Department of Language and Literacy Education at the Faculty of Education, University of British Columbia Okanagan . As of July 2, 2024, he serves as the Interim Director of the Okanagan School of Education, a role reflecting his leadership and advisory contributions to academic excellence and mentorship. Research Focus: Intersections of language, ecology, and technology; decolonizing education; digital arts-based methods; automation of literacy; socio-cultural impacts of digital media. Projects: Founder of PhoneMe (place-based poetry app) and Singling (text sonification software for accessibility). Leads the Digital Literacy Centre and The Patch (digital arts-based research). Research Trends: His recent publications emphasize digital literacies , transmediation , and collaborative methodologies in education. Works like Text Sonification and PhoneMe Poetry highlight innovative approaches to accessibility and community engagement. Awards: Murray Elliott Service Award for Outstanding Contributions to Teacher Education (2018) Advisory Roles: Active in curriculum development, teacher education, and advancing social justice and ecological preservation in Boundary Country. Grants include unspecified funding for projects like PhoneMe and Singling.

Kerstin Dautenhahnمشاهده پروفایل

استاد مهمان

• Human-Robot Interaction
• Social Robotics
• Assistive Technology
• +۷ مورد دیگر

Professor Kerstin Dautenhahn serves as Visiting Professor in Artificial Intelligence at the Centre for AI and Robotics Research, University of Hertfordshire. A pioneering researcher in socially assistive robotics, she directs therapeutic applications for children with autism and elderly care through human-robot collaboration frameworks. Her research spans Human-Robot Interaction, Social Robotics, and Robot-assisted therapy with expertise in autobiographic memory systems and narrative-driven social learning. Current work focuses on developing adaptive companion robots that evolve through longitudinal human engagement, particularly investigating trust dynamics during error recovery and continual learning mechanisms in therapeutic contexts. Recent publications (2022-2025) reveal concentrated exploration of robot curiosity frameworks, human perception of autonomous decision-making, and error consequence modeling. These studies establish foundational principles for socially intelligent robots that maintain user trust through transparent learning processes and context-aware adaptation. Professor Dautenhahn holds editorial leadership as founding Editor-in-Chief of Interaction Studies and Associate Editor for IEEE Transactions on Affective Computing , International Journal of Social Robotics , and Adaptive Behavior . She maintains Senior Membership in IEEE and active roles in ACM and SSAISB. She has supervised three graduate students and secured 23 research projects including Horizon 2020 initiatives BabyRobot (2016-2018) and SECURE (2015-2019), plus the KASPAR autism therapy project (2013-2018). Her funding portfolio demonstrates sustained focus on translating social robotics research into clinical and domestic applications through multi-institutional collaborations. As principal investigator for the Centre for AI and Robotics Research, she leads the KASPAR humanoid robot development team and coordinates the Robot House 2.0 facility. Her interdisciplinary teams integrate computer scientists, developmental psychologists, and clinical therapists to create evidence-based robotic interventions validated through longitudinal field studies.

Nathan Lerouxمشاهده پروفایل

پژوهشگر

• Neuromorphic engineering
• In-memory computing
• Machine learning
• +۴ مورد دیگر

Dr. Nathan Leroux is a postdoctoral researcher at Forschungszentrum Jülich, affiliated with the Peter Grünberg Institute and its Neuromorphic Software Ecosystems (PGI-15) group. He completed his Ph.D. in Physics at Paris-Saclay University in 2022 under the mentorship of Julie Grollier and Frank Mizrahi in the Albert Fert Laboratory. Education: Ph.D. in Physics (2022), Paris-Saclay University Research Interests: Focuses on developing energy-efficient hardware architectures for artificial intelligence using emerging technologies. Current projects include applying In-Memory Computing to accelerate Large Language Models and bio-signal analysis for advanced Human-Machine Interfaces. Current Work: Part of the Neuromorphic Software Ecosystems group led by Emre Neftci at Jülich Research Centre, leveraging neuromorphic engineering and machine learning for AI applications.

• Social Robotics
• Artificial Intelligence
• Retail Technology
• +۴ مورد دیگر

Stephanie van de Sanden is a Lecturer and Researcher at the Emerging Technology for Business department of the Centre for Economic Transformation at Amsterdam University of Applied Sciences. Her work focuses on the integration of AI-driven social robots in retail environments, exploring their impact on customer satisfaction, behavioral insights, and service innovation. Department: Emerging Technology for Business University: Amsterdam University of Applied Sciences Her research interests center on Social Robotics, Artificial Intelligence, and Retail Technology, with a focus on human-robot interaction and personalized marketing strategies. Recent publications analyze the novelty effect of humanoid robots in stores, the role of perceived fit in customer satisfaction, and practical implementations of AI-powered social robots. Key themes include consumer psychology, ethical AI, and technological adoption in commercial spaces. She has organized the Social Robot Symposium (2024) and supervised student theses on topics like customer behavior analysis and service robotics. Collaborations with academics such as T. Verhagen and K. Hindriks highlight her role in interdisciplinary retail innovation studies.

Padraig MacCarronمشاهده پروفایل

دانشیار

• Complex Networks
• Social Network Analysis
• Big Data Applications
• +۳ مورد دیگر

Padraig MacCarron is an Associate Professor in the Department of Mathematics and Statistics at the University of Limerick, specializing in complex networks. He is affiliated with the Centre for Research Training in Foundations of Data Science and the Mathematics Applications Consortium for Science and Industry (MACSI). Education: BSc in Astrophysics from University College Cork; PhD from Coventry University on social networks in narratives. His research focuses on interdisciplinary applications of complex networks, including social polarization, criminal networks, and trust dynamics in health research. He collaborates with Psychology, Law, and Health departments to model social phenomena like community formation and fragmentation. Recent work explores structural properties of social networks through diverse domains such as Twitter analysis for political polarization, participatory health research partnerships, and arts-based methods for migration health co-production. This spans network theory, social media analytics, and data-driven policy modeling. He is a member of MACSI and the Centre for Research Training, emphasizing computational methodologies and team-based collaborations. Padraig actively accepts PhD students for projects involving network science and social systems modeling.

• Animal Welfare
• Animal Ethics
• Veterinary Ethics
• +۵ مورد دیگر

Dr. Mona Giersberg is an Associate Professor at the Faculty of Veterinary Medicine , Utrecht University, specializing in Animal Welfare , Animal Ethics , and AI-based technologies for animal monitoring. She coordinates the AI & Animal Welfare Lab and contributes to the Centre for Sustainable Animal Stewardship (CenSAS) . Veterinary Medicine, Utrecht University AI & Animal Welfare Lab CenSAS ResearchGate Her research focuses on transdisciplinary collaboration to address complex societal issues in animal agriculture. Key projects include: IMAGEN : Combining animal behavior and computer science to reduce ecological footprints Smart Resilience : Developing AI for pig welfare Best Practice Hens : EU cage-free housing transition Recent work explores AI ethics in animal production, automated tracking systems , and value-sensitive innovation . She analyzes how technologies like computer vision and video observation can ethically improve livestock welfare. Award-winning researcher with multiple recognitions including: Academy for Animal Health Award (2023) Soroptimist International Hochschul-Absolventinnenpreis (2018) Prof. Walther Bolz Award (2018) Erich Aehnelt Memorial Award (2017) Active in scientific advisory roles for organizations like: Universities Federation for Animal Welfare (UFAW) - ISAC Research Foundation – Flanders (FWO) - SBMed9 NWO Open Competition Global Food Partners, Inc.

Anni Zhangمشاهده پروفایل

استادیار

• Microbiome Medicine
• Artificial Intelligence
• Microbiology
• +۷ مورد دیگر

Dr. Anni Zhang serves as Assistant Professor at Nanyang Technological University's School of Biological Sciences with a courtesy appointment at the Singapore Centre for Environmental Life Sciences Engineering. Her interdisciplinary research bridges microbiology, immunology, and artificial intelligence to develop novel therapeutic approaches. Dr. Zhang earned her PhD in Environmental Engineering from the University of Hong Kong (2018) following undergraduate studies in Environmental Biology at Nanjing University (2014). Prior to joining NTU, she completed a postdoctoral fellowship (2018-2023) and subsequent research associate position (2023-2024) at MIT's Alm Lab. Her research program focuses on Microbiome Medicine , Bacterial-Based Cancer Therapy , and Phage Therapy , utilizing AI-driven approaches to analyze microbial mechanisms. The AnniZ Lab develops computational tools for microbiome analysis while investigating antibiotic resistance gene dissemination and host-microbe interactions. Publication analysis reveals consistent contributions to Genome Biology , Cell Genomics , and Nature Communications , demonstrating expertise in bioinformatics algorithm development, CRISPR systems, and antibiotic resistance mechanisms. Her work shows increasing integration of AI methodologies with experimental microbiology. Dr. Zhang actively mentors graduate students including Qiwen (current PhD student) and Zhiqi (transitioning to PhD candidacy), with opportunities for new PhD candidates seeking research at the AI-microbiology interface. The AnniZ Lab maintains active collaborations with MIT and participates in major conferences including Gordon Research Conferences. Current projects include developing AnniBot (a specialized LLM for microbiome research) and Jeff's KnowledgeGraph for microbial data integration.

Morteza Zihayatمشاهده پروفایل

دانشیار

• Data Analytics
• Human-centered AI
• Decentralized AI
• +۶ مورد دیگر

Morteza Zihayat is an Associate Professor and Canada Research Chair (Tier 2) in Human-Centered Artificial Intelligence at Toronto Metropolitan University. He holds dual appointments in the Faculty of Engineering and Architectural Science (Department of Electrical, Computer, and Biomedical Engineering) and the Ted Rogers School of Management. Additionally, he serves as an Adjunct Professor at the University of Waterloo in Management Sciences and is a Faculty Fellow at IBM's Centre for Advanced Studies. Dr. Zihayat's educational background includes: PhD in Computer Science from York University (2016) MSc in Computer Engineering from University of Tehran (2011) Postdoctoral Research Fellowship at University of Toronto's Faculty of Information (2017) His research lies at the intersection of AI, security, and society with a focus on building fair and transparent AI systems. Dr. Zihayat's expertise spans human-centered AI, fair information retrieval systems, and blockchain-enabled AI infrastructures. His work emphasizes creating AI systems that are accountable and designed to serve the public good, with applications in healthcare, digital media, and social networks. Dr. Zihayat has received numerous accolades including the Canada Research Chair (Tier 2) in Human-Centered AI (2024), Dean's Outstanding Scholarly, Research, and Creative Activity Award (2023), Best Short Paper Award at ECIR (2023), and IBM CAS Faculty Fellowship (2021). His research has attracted over $1.7 million in external funding from agencies such as NSERC, Mitacs, and multiple industry partners including Toronto Transit Commission, The Globe and Mail, AT&T, and IBM. Dr. Zihayat serves as Associate Editor of the Computational Intelligence Journal and is an active reviewer for top-tier venues. He is also Co-director and Co-founder of the Digital Enterprise Analytics and Leadership (DEAL) Research Center.

Trine Rask Nielsenمشاهده پروفایل

پژوهشگر

• Computer-Supported Cooperative Work (CSCW)
• Critical Data Studies
• Asylum Decision-Making Systems
• +۳ مورد دیگر

Trine Rask Nielsen is a researcher at the Department of Computer Science , University of Copenhagen , affiliated with the Human-Centred Computing section and the Confronting Data Co-lab . Her work bridges Computer-Supported Cooperative Work (CSCW) and Critical Data Studies , focusing on how data shapes asylum decision-making practices. Research Interests: Ethnographic analysis of data practices in asylum systems, digital governance, refugee agency, and ethical prototyping. Awards: 2023 David B. Martin Award 2020 award for fictional app design Collaborations: Works with cross-disciplinary teams and external partners in Denmark and internationally. Her publications examine datafication processes, algorithmic transparency, and participatory approaches in asylum casework, emphasizing ethnographic insights and critical design interventions.

Sandra Paulettoمشاهده پروفایل

استاد

• Sound and Music Computing
• Media Production
• Sound Design
• +۵ مورد دیگر

Sandra Pauletto is a Professor in Media Technology specializing in Media Production and a Docent in Sound and Music Computing at the Division of Media Technology and Interaction Design (MID), School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. She joined KTH in 2019 after positions at the University of York and University of Huddersfield in the UK. Her work bridges the gap between artistic sound practices and technological innovation in the field of sonic interaction design. Pauletto holds a Physics degree (MPhys(Hons)) from Manchester and a Music degree in Classical Guitar from Conservatorio "G.Tartini" in Trieste, Italy. She completed her MSc and PhD in Music Technology at the University of York, UK, where her doctoral thesis focused on "Interactive non-speech auditory display of multivariate data." Her interdisciplinary background informs her approach to sound and media research. Her primary research interests focus on sound and music computing, media production, sound design, sonic interaction design, and sonification . She investigates how sound communicates both functional information (e.g., a car door shutting) and aesthetic qualities (e.g., the type of car) in interactive contexts. Her current projects apply these principles to sustainability challenges like energy consumption monitoring and environmental awareness, as well as health communication applications. She has developed methods that combine historical sound design practices with contemporary computing techniques to create more effective sonic interfaces. Analysis of her recent publications reveals a strong trend toward applying sound design to address societal challenges, particularly through projects like SonicFunc (developing sound design methods for everyday life) and SoniHED (Sonification of Health and Environmental Data). Her work increasingly incorporates interdisciplinary approaches, collaborating with experts in astronomy, environmental science, and public health to develop effective sonic interfaces for complex data. She has received funding for significant research projects including: The SonicFunc project (Principal Investigator), developing new sound design methods for the digital society The SCORe Project (Principal Investigator), using sonification to communicate public health risk data SoniHED: Conference on Sonification of Health and Environmental Data (funded by Wellcome Trust) Chronic health issues of adolescents project (funded by Centre for Chronic Diseases and Disorders) As an educator and mentor, Pauletto has served as Principal Supervisor for 5 completed PhD students and is currently Associate Supervisor for 1 PhD student. She has extensive teaching experience across all academic levels and has held management roles including Deputy Head of the MID Division at KTH and Programme Director for the MA/MSc in Postproduction with specialisation in Sound Design. She has also been a member of the Peer Review College for the UK Arts and Humanities Research Council and an expert reviewer for EU FP7 and H2020 programmes. She leads the SonicFunc research group which investigates sound function, aesthetics, and interaction in media production to create effective sonic interaction design for everyday life. Her team includes postdoctoral researchers like Rod Selfridge and PhD students working on projects related to sustainability, health communication, and innovative sound design methodologies. She has also organized multiple conferences including the SoniHED conference series and guest edited special journal issues on data sonification and sound design.

Johan Pauwelsمشاهده پروفایل

مدرس

• Audio Signal Processing
• Music Information Retrieval
• Machine Learning for Audio
• +۳ مورد دیگر

Dr. Johan Pauwels is a Lecturer in Audio Signal Processing at Queen Mary University of London's School of Electronic Engineering and Computer Science, where he is affiliated with the Centre for Digital Music and the Centre for Multimodal AI. His educational background includes: Master of Science in Electrical/Electronics Engineering from KU Leuven (2006) Master of Science in Artificial Intelligence from KU Leuven (2007) PhD from Ghent University (2016) on automatic harmony recognition from audio Johan's research focuses on making machines understand audio to the level of a trained professional. His work combines machine learning, signal processing, data science, and music theory to develop tools for musicians, listeners, and music learners. He has been working on narrowing the gap between academic research and user-centric applications, web-based music services, and the personalization of spatial and immersive audio. His specific interests include machine learning for audio, audio signal processing, music information retrieval, and binaural audio. His recent publications show a strong focus on music representation learning, with particular attention to limited data scenarios, multimodal approaches, and spatial audio processing. His work bridges theoretical music concepts with practical machine learning applications, especially in chord recognition, beat detection, and instrument recognition. He has made significant contributions to HRTF (Head-Related Transfer Function) research and development of tools for spatial audio processing. Dr. Pauwels is actively involved in research funding, with current grants including the AIM CDT Internship with Sofilab (2025), AIM CDT Studentship - Stem (2024), and AIM CDT Internship with stem.tech (2024). He currently supervises multiple PhD students, primarily through the UKRI Doctoral School in AI and Music, with research topics spanning intelligent audio editing, neural drum synthesis, source separation, graph neural networks for music recommendation, and more. In addition to PhD supervision, he typically guides 8-10 undergraduate and 8-10 master's students through their final year projects. His teaching responsibilities include ECS7013P Deep Learning for Audio and Music (MSc/PhD level) and ECS411U Signals and Information (first-year undergraduate).

Vera Khovanskayaمشاهده پروفایل

استادیار

• Labor Studies
• Technology and Society
• Data Ethics
• +۳ مورد دیگر

Vera Khovanskaya is an Assistant Professor at the University of Toronto's Faculty of Information , with cross-appointments in the Department of Computer Science and the Centre for Industrial Relations and Human Resources (CIRHR) . She is also a faculty affiliate with the Schwartz Reisman Institute for Technology and Society . Her work focuses on the intersection of labor, technology, and data-driven advocacy. Dr. Khovanskaya holds a PhD from Cornell University, where she was advised by Phoebe Sengers, and completed a postdoctoral fellowship at UC San Diego under Lilly Irani. Her research explores the role of data tools in worker advocacy, barriers to community-driven technology design, and historical labor movements' use of data. She leads the Labour Process and Technology Lab (Labour Lab) at UofT. Her recent publications analyze labor-technology dynamics, speculative design in urban planning, and accountability frameworks for future work environments. She has been recognized with the CRA/NSF Postdoctoral Computing Innovation Fellowship. Teaching includes INF2260H Speculative Design . Khovanskaya actively collaborates with labor organizations like UAW 5810 and emphasizes accessible, equitable technological solutions. She is currently accepting graduate students for the 2024-2025 cycle.

• Rehabilitation Biomechanics
• Neuromuscular Fatigue
• Dysfunctional Breathing
• +۵ مورد دیگر

Dr. Samantha Winter is a Reader in Rehabilitation Biomechanics at Loughborough University's College of Engineering, Design and Physical Sciences, affiliated with the National Centre for Sport and Exercise Medicine (NCSEM). Her work bridges clinical rehabilitation, sports performance, and evolutionary biomechanics, with a focus on dysfunctional breathing and neuromuscular fatigue. Education: First Class BSc in Sport and Exercise Sciences (University of Birmingham), MSc Kinesiology, Master's in Applied Statistics, PhD Kinesiology (Penn State University), Post-graduate Certificate in Teaching in Higher Education, BSc Mathematics (Open University) Her research explores the application of opto-electronic plethysmography (OEP) for diagnosing breathing disorders, complexity analysis in neuromuscular fatigue, and evolutionary ergonomics of hominin hand evolution. She leads externally funded projects on real-time OEP feedback systems and fatigue mechanisms. Recent publications highlight trends in Breathing Analysis , Neuromuscular Fatigue , and Evolutionary Ergonomics , utilizing advanced methodologies like time-series modeling, EMG, and motion capture. Key collaborations include studies on chronic ankle instability and prehistoric tool use efficiency. Scientific Recognition: Senior Fellow of the Higher Education Academy (SFHEA), 2019 She has influenced curriculum design and student support systems nationwide, with grants focused on breathing retraining and sports injury prevention. Her work intersects the Lifestyle for Health and Wellbeing and Sport Performance research groups.

Polly Daltonمشاهده پروفایل

استاد

• Human Attention
• Multisensory Perception
• Cognitive Psychology
• +۳ مورد دیگر

Polly Dalton is a Professor of Psychology at Royal Holloway, University of London, leading the Attention Lab. She specialises in the psychological mechanisms of human attention, awareness, and multisensory experiences. As Head of Audience Futures at the CoSTAR National Lab, she conducts large-scale interdisciplinary studies on user engagement with technologies. She also co-directs the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion. Her research explores attentional capture, sensory modalities (vision, hearing, touch), and applied contexts like aviation, remote vehicle operation, and VR. Projects include CoSTAR (Creative Industries R&D), StoryFutures (immersive storytelling), and HYPHEN (immersive production tools). Her work has been featured on BBC Breakfast TV, Sky News, The Guardian, and MSNBC. She collaborates internationally and contributes to UN Sustainable Development Goals through pro-environmental behavior research. Key grants include funding from AHRC, Innovate UK, and Daphne Jackson Trust. She mentors graduate students and oversees labs focused on advancing understanding of human experience in technological contexts.