جست‌وجوی استاد و پژوهشگر

Ahsan Adeelمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computational Neuroscience
• Multisensory Integration
• +۵ مورد دیگر

Dr. Ahsan Adeel is an Associate Professor of Cellular AI and Theoretical Neuroscience at the University of Stirling. He holds affiliations with multiple institutions including MIT, Oxford, and the Howard Brain Sciences Foundation. His research focuses on bridging cellular neurobiology with AI, particularly through the study of pyramidal Two-Point Neurons (TPNs) and their role in conscious processing. His work emphasizes developing biologically plausible AI models for healthcare, robotics, and neuromorphic computing. Education: B.Eng. in Electrical Engineering, MSc in Electronics, PhD in Cognitive Computing. Research interests include: Conscious Multisensory Integration (CMI), neuromorphic chip design, explainable AI (XAI), and applications in hearing aids, disaster management, and neurological disorders. His lab, the CMI Lab, explores how TPN mechanisms can overcome computational limitations of current AI. Key projects include a £4M EPSRC-funded hearing aid initiative, 5G-enabled environment planners for dementia patients, and collaborations with NASA/ESA on AI for space exploration. His work is featured in flagship journals like Frontiers in Computational Neuroscience and the €1.2B Human Brain Project. Awards include Fellowships from Howard Foundation, MIT, and Oxford, alongside recognition for contributions to neuromorphic computing and TPN research. He has over 30 publications and leads interdisciplinary teams across 10+ global institutions.

Ryoma Hattoriمشاهده پروفایل

استادیار

• Reinforcement Learning
• Decision Making
• Number Sense
• +۴ مورد دیگر

Ryoma Hattori is an Assistant Professor at the University of Florida, based at the UF Scripps Biomedical Research campus in Jupiter, FL. His laboratory, the Hattori Lab, focuses on neural mechanisms underlying cognitive functions, learning, and their disruption in autism. Dr. Hattori received his educational degrees from prestigious institutions: Ph.D. in Molecular and Cellular Biology from Harvard University (2016) A.M. in Molecular and Cellular Biology from Harvard University (2012) B.S. in Biophysics and Biochemistry from the University of Tokyo (2010) His research interests center on decision making, reinforcement learning, and number sense, using systems and computational approaches. The lab employs techniques such as in vivo 2-photon imaging, optogenetics, virtual reality behaviors, and machine learning to investigate neural activity and plasticity dynamics in mice. A significant focus is understanding how these processes are impaired in autism spectrum disorder. Analysis of his recent publications reveals a strong emphasis on computational neuroscience and neural circuit mechanisms. His work spans from developing advanced imaging and analysis tools to uncovering fundamental principles of value coding and meta-reinforcement learning, with applications in both basic neuroscience and artificial intelligence. Dr. Hattori has received numerous scientific awards, including: Outstanding Mentor Award 2025 from Society of Research Fellows, UF Scripps SFARI Bridge-to-Independence Award 2022-Current from Simons Foundation Warren Alpert Distinguished Scholar Award 2021-2024 from Warren Alpert Foundation Postdoctoral Grant Award 2021-2022 from The KANAE Foundation And several fellowships during his postdoctoral and graduate training. As a principal investigator, Dr. Hattori leads multiple active grants, including the Shenoy Undergraduate Research Fellowship in Neuroscience (2025-2026) and a project on "Neural activity and plasticity dynamics for reinforcement learning in autism" funded by the Simons Foundation. His mentorship has been recognized with the Outstanding Mentor Award. The Hattori Lab is a dynamic research group utilizing cutting-edge technologies to explore the neural basis of cognition, with a particular interest in translational implications for autism and related disorders.

Wlodek Kuleszaمشاهده پروفایل

استاد

• Systems Engineering
• Measurement and Instrumentation
• Sensor Networks
• +۳ مورد دیگر

Wlodek Kulesza is a Senior Professor in the Department of Mathematics and Natural Sciences at the Blekinge Institute of Technology in Karlskrona, Sweden. He has held academic positions since 2001, including a Professorship in Multi-sensor Systems since 2007. Research: Multisensory systems for health and security applications Teaching: Research Methodology, Philosophy of Science, and Sensors Signals and Systems Expertise: Systems engineering, sensor fusion, IoT, and measurement data handling Research Focus : His work in systems engineering emphasizes multisensor integration for applications spanning healthcare, security, wind energy safety, and subsea cable monitoring. He has pioneered approaches to stereovision calibration, localization algorithms, and real-time safety systems. Awards : Andy Chi Best Paper Award (2009, IEEE Transactions in Measurement and Instrumentation) Collaborations : Visiting Professor at Chinese and Polish universities, with extensive cross-border educational workshops and remote lab federations (e.g., PILAR/VISIR projects).

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +۷ مورد دیگر

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

• Human-Computer Interaction
• Automotive Engineering
• Virtual Reality
• +۴ مورد دیگر

Marine Capallera is a Researcher affiliated with the HumanTech - Technology for Human Wellbeing Institute at the University of Applied Sciences and Arts Western Switzerland (HES-SO). Her work focuses on Human-Vehicle Interaction (HVI), Virtual Reality (VR) applications for education and disability support, and driver state monitoring using physiological signals. She holds a PhD in Informatics from the University of Fribourg (2023), where her thesis addressed adaptive multimodal systems for driver supervision in automated vehicles. Her research spans projects like AdVitam (funded by Hasler Foundation), which explores collaborative driver-vehicle interaction models, and Pro-GIS, a VR initiative enabling social skills training for youth with intellectual disabilities. She collaborates with institutions like EPFL+ECAL Lab and the University of Fribourg, contributing to datasets on driver physiology and automated driving behavior. Key themes include: 1) Designing HVI systems that maintain driver situation awareness via ambient interfaces and physiological feedback; 2) Developing inclusive VR solutions for special needs populations; 3) Applying machine learning to classify driver states (fatigue, workload) using biometric data. Recent work emphasizes multimodal interaction in automated vehicles and cross-modal emotion integration in VR environments. Grants: Hasler Foundation-funded AdVitam project (2018-2021) Teams: Collaborates with Elena Mugellini, Quentin Meteier, and Omar Abou Khaled in automotive HVI research Labs: Leads VR training modules for nursing education and disability support

• Robotics
• Neuroscience
• Artificial Intelligence
• +۳ مورد دیگر

Tom Knowles is a Lecturer in Robotics at the University of the West of England , affiliated with the School of Engineering . He teaches technical subjects such as C Programming , Matlab Programming , Python Programming , Robotics , and Neuroscience . Education: MSc BSc Mr. Knowles bridges conventional and spiking neural networks to develop artificial systems that mimic biological capabilities, particularly in navigation. His work explores how mammalian brains represent space and models robust, flexible behaviors through robotics, intersecting Robotics , Neuroscience , and Artificial Intelligence . Publications trends highlight biomimetic robotics , spiking neural networks , and computational neuroscience . His research integrates machine learning , bio-inspired models , and sensory reconstruction to solve navigation challenges, with collaborations at the University of Sussex and Technische Universität München (TUM) . Collaborations: University of Sussex TUM (Technische Universität München) Contact: Email: Tom.Knowles@uwe.ac.uk Phone: +44117 965 6261

Nicole Lesley Gardnerمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Urban Technology
• Computational Design
• +۵ مورد دیگر

Dr. Nicole Lesley Gardner is a Registered Architect (NSW ARB 7921) and Program Director of Computational Design at the School of Built Environment, UNSW Sydney . Her interdisciplinary research examines digital transformation in architecture, urban technology, and the ethics of smart cities. A Chief Investigator for the $9M Australian Research Council (ARC) Industrial Transformation Training Centre , she has led multiple Commonwealth-funded grants and co-authored over 40 peer-reviewed publications. Education: PhD in Architecture (UTS 2018), Bachelor of Architecture (Adelaide 2000), Bachelor of Design Studies (Adelaide 1998) Leadership: Chair of CAADRIA 2024 , co-editor of CAADRIA Post-Carbon proceedings (2022) Research Interests span computational design, smart city paradigms, and digital transformation in the AEC sector. Her work integrates ethical frameworks, gender dynamics, and material innovation in urban technology, with a focus on practice-based design research and industry collaboration. Scientific Awards : ADA Faculty Research Fellowship (2021-2022)

Nuno N. Correiaمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Sound and Music Computing
• Multisensory User Experience
• +۳ مورد دیگر

Nuno N. Correia is an Associate Professor in Digital Transformation at Tallinn University , with over two decades of experience in media art and interaction design. He holds a PhD in Art and Design in New Media from Aalto University (Finland) and is a visiting lecturer at Aalto University and an associated researcher at the Interactive Technologies Institute (U. Lisbon, Portugal) . Previously, he worked at design consultancy Fjord (now Accenture Song). Education: PhD in Art and Design in New Media, Aalto University His research spans human-computer interaction , sound and music computing , and multisensory user experience . Recent projects focus on ethical AI in music, interactive dance technologies, and VR environments for performance arts. His work bridges machine learning, embodiment, and audiovisual systems. Key trends in his publications include: AVUI (Audio-Visual User Interfaces) design Biosignal integration in dance Screen scores and performance ecologies Browser-based interactive installations Scientific contributions include a Marie Curie fellowship and Creative Europe projects . He has published extensively in top conferences like CHI, DIS, TEI, NIME, and ISEA.

• Cognitive Neuroscience
• Neuroimaging
• Attentional Control
• +۴ مورد دیگر

Christopher L. Asplund is an Associate Professor at the National University of Singapore (NUS), affiliated with the Department of Biomedical Engineering and Yale-NUS College. He serves as Head of Studies for Psychology at Yale-NUS and holds courtesy appointments in NUS Psychology, Institute for Digital Medicine (WiSDM), Centre for Sleep and Cognition, and Duke-NUS Neuroscience & Behavioural Disorders program. His research explores attentional control, consciousness, and the neural basis of cognition through behavioral experiments, fMRI, and EEG. Research Focus: Understanding attentional states and their modulation by surprise Investigating individual differences in attention, including ASD/ADHD Exploring surprise's role in learning and pain perception Developing digital therapeutics for cognitive training Examining how consciousness and intelligence emerge from neural networks Methodological Expertise: Behavioral experimentation, functional neuroimaging (fMRI, EEG), eye-tracking, and physiological measures.

Paul Liangمشاهده پروفایل

استادیار

• Multimodal Machine Learning
• Artificial Intelligence
• Human-Computer Interaction
• +۳ مورد دیگر

Paul Liang is Assistant Professor at the Massachusetts Institute of Technology with joint appointments in the Media Lab and the Department of Electrical Engineering and Computer Science, where he directs the Multisensory Intelligence research group. His work spans foundational research in multisensory AI technologies and their applications in enhancing human experiences and real-world human-AI interaction. Liang's research focuses on three interconnected thrusts: developing theoretical foundations for multisensory machine learning systems; designing interactive AI technologies to augment human capabilities; and addressing societal concerns in real-world human-AI interaction. His work integrates principles from machine learning, natural language processing, and human-computer interaction to create novel multimodal architectures. Professor Liang's research group actively publishes on multimodal representation learning, evaluation frameworks for foundation models, and methods for quantifying multimodal interactions. Recent work includes developing the Holistic Evaluation of Multimodal Models (HEMM) framework and the MultiBench benchmarking suite.

• Instructional Technologies
• Artificial Intelligence in Education
• STEM Education
• +۳ مورد دیگر

Dr. Serkan Düzgün is an Associate Professor at Gazi University's Faculty of Education, Department of Basic Education, specializing in Classroom Education. He has previously worked as a part-time lecturer at Ankara Hacı Bayram Veli University and Ankara Yıldırım Beyazıt University. PhD, Master's, and Bachelor's degrees from Gazi University Active in instructional technologies, AI in education, STEM, and neuroscience applications Key contributor to Turkey's national education projects and civil society initiatives His research focuses on the integration of artificial intelligence in pedagogical practices, robotic coding platforms for K-12 education, and the cognitive impacts of neuroscience-based teaching methods . Recent work examines distance education challenges during the pandemic, learning style adaptations, and self-regulated learning in virtual environments. Current publications emphasize AI-driven educational tools , technology-enhanced literacy instruction , and virtual classroom dynamics . His 15 most recent articles (2021-2024) span topics like robotic coding in STEM education, emotional intelligence in remote teaching, and AI applications in qualitative research. Dr. Düzgün has conducted 108 projects, advised 3 theses, and actively participates in open-access initiatives and UN Sustainable Development Goals implementation through educational technology. He also played a pivotal role in establishing the "Voice of Turkish" Radio at Yunus Emre Institute.

Vincenzo Catramboneمشاهده پروفایل

استادیار

• Biomedical Signal Processing
• Brain-Heart Interactions
• Computational Neuroscience
• +۳ مورد دیگر

Dr. Vincenzo Catrambone is an Assistant Professor in the Department of Information Engineering at the University of Pisa and a fellow of the Neuro-Cardiovascular Intelligence Lab. His research focuses on integrative approaches to understanding brain-body interactions using advanced signal processing and computational modeling techniques. His research program investigates functional interactions between cardiovascular dynamics and neural activity in both physiological and pathological conditions. Key areas include neuro-cardiac coupling mechanisms, emotion-time perception relationships in depression, multisensory integration, and brain-computer interface development. His methodological approaches combine EEG analysis, computational modeling, physiological monitoring, and neuromodulation techniques. Recent publications demonstrate increasing focus on clinical applications, particularly in depression, epilepsy, and trauma-related disorders. His work on brain-heart interplay has evolved toward translational studies investigating how psychotherapeutic interventions modulate neuro-autonomic communication pathways.

Sofia Jusslinمشاهده پروفایل

مدرس ارشد

• Literacy
• Academic Writing
• Writing with AI
• +۱۱ مورد دیگر

Sofia Jusslin is a Senior Lecturer and Docent in Subject Didactics with a focus on Literacy at Åbo Akademi’s Faculty of Education and Welfare Studies, Department of Pedagogy. She holds a Doctor of Pedagogy (Fil. Dr.) from Åbo Akademi (2021) and was awarded docentship in 2024. She is also a guest researcher at Umeå University (2024) and the University of the Arts (2022–2024). Jusslin is actively engaged in research, teaching, and leadership in literacy and arts-integrated education. Education: Docent in Subject Didactics (Literacy), Åbo Akademi, 2024 Doctor of Pedagogy (Fil. Dr.), Åbo Akademi, 2021 Her research centers on literacy, academic writing, writing with AI, arts integration (especially dance), embodied learning, and post-qualitative and performative research methodologies. She leads the CO-WRITE project (2025–2027) on collaborative academic writing in hybrid higher education settings and contributes to several other funded projects such as ELLA and SKRiDi. Her work emphasizes creative, multimodal, and critical approaches to language and literacy education in teacher training and schools. The recent articles highlight a strong trend in arts-integrated, embodied, and innovative literacy practices. Themes include the use of dance and arts in language learning, the role of imagination and play in early literacy, and the impact of generative AI on academic writing. Her scholarship bridges theory and practice, often employing post-qualitative and performative lenses to explore educational phenomena. Scientific Awards: Kanslerpriset för yngre forskare (2024) 3MT Thesis Competition recognition (2017) Ros istället för ris (2022) Jusslin supervises bachelor’s, master’s, and doctoral theses in pedagogy and has extensive experience teaching academic writing across disciplines in Finland and internationally. She has been involved in numerous research grants from foundations such as the Swedish Cultural Foundation, NordForsk, and the Österbotten Higher Education Foundation. Her external roles include being editor-in-chief of the Journal for Research in Arts and Sports Education , editorial board member of Dance Articulated , and active participation in the Nordic Writing Didactics Research Network (SKRiDi). She leads or participates in research teams focused on embodied learning (ELLA), collaborative writing (CO-WRITE), and poetry pedagogy. Her work is highly collaborative, involving Nordic and international partners in arts-based and interdisciplinary educational research.

• Assistive Technologies
• Health Informatics
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Andreu Català Mallofré is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Systems, Automatic and Industrial Informatics Engineering. He serves as the principal investigator at the CETpD - Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma (Technical Research Center for Dependency Care and Autonomous Living) and leads the TOC - Tecnologia Orientada a la Comunitat (Community-Oriented Technology) research group. With an academic career spanning over 30 years, he specializes in assistive technologies, human-computer interaction, and biomedical data analysis. His research interests focus on Wearable health monitoring systems Parkinson's disease management solutions Frailty assessment algorithms Emotion-driven computing Community-embedded technology Gerontechnology applications These areas have produced 367 academic outputs including 59 indexed journal articles, 148 conference papers, and 66 competitive R&D projects. Recent publications demonstrate a clear trend toward multimodal health monitoring combining inertial sensors with biometric data for aging populations . Key application areas include freezing-of-gait detection in Parkinson's patients and distress estimation during assisted mobility. His 2024 work explores agricultural sustainability through data-driven fertilizer optimization. Scientific recognition includes UPC Social Council Award (2013) 20+ years as conference committee member Multiple competitive R&D grants 23391773000 Scopus ID Orcid 0000-0001-8775-1955 As academic advisor, he has mentored 3 PhD candidates including Daniel Manuel Rodriguez-Martin (Human Movement Analysis, 2020) Leonid Ivonin (Physiological Signal Processing, 2014) John Neal Abram Brown (Calm Computing, 2014) His teams operate within Vilanova i la Geltrú's School of Engineering, with strong industry and healthcare sector collaborations.

• Human-Computer Interaction
• Collaborative and Social Computing
• Computer Supported Cooperative Work
• +۷ مورد دیگر

Dr. Ioanna Lykourentzou is an Associate Professor in the Software Technology for Learning and Teaching department at Utrecht University's Faculty of Science. She leads the Collaborative Technologies Lab and coordinates the Computing Science Master's and Information Sciences Honors Bachelor's programs. Additionally, she serves as a Fair Data and Software fellow within the Open Science Team of the Faculty of Science and as a member of the Ethics Review Board for the Faculties of Science and Geosciences. Her research focuses on collaborative and crowd systems, developing methods that help people work together, coordinate efforts, and innovate at scale, both online and in physical spaces. Her interdisciplinary approach combines computational science (machine learning, agent-based modeling, mathematical optimization) with social sciences (personality testing, team building). Her expertise spans Human-Computer Interaction, Algorithms, Agent-Based Modelling, Telecollaboration, Creativity, and Innovation. Her recent publications (2021-2025) demonstrate a strong focus on human-AI interaction, generative models, and applications in cultural heritage and education. She examines how technology can facilitate collaboration, with particular attention to team formation, personality factors, and digital nudging techniques. Her work bridges theoretical research with practical applications in digital humanities, cultural heritage, and computing education. Dr. Lykourentzou has received significant recognition for her research, with multiple publications garnering substantial citations and reader attention across platforms like Mendeley and social media. Her work on personality-based team formation (2016) has been particularly influential with over 90 citations. Prior to joining Utrecht University, she worked as a Senior Researcher at the Luxembourg Institute of Science and Technology (LIST), where she coordinated the European H2020 project CROSSCULT. She has also collaborated with the Human-Computer Interaction Institute of Carnegie Mellon University as a visiting researcher and with INRIA Nancy-Grand Est and the Public Research Center Henri Tudor as a postdoctoral fellow.