جست‌وجوی استاد و پژوهشگر

• 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.

Dirk Sudholtمشاهده پروفایل

استاد

• Randomised Algorithms
• Algorithmic Analysis
• Combinatorial Optimisation
• +۵ مورد دیگر

Dr. Dirk Sudholt is a Full Professor at the University of Passau and a Visiting Professor at the University of Sheffield. He holds a Ph.D. from Technische Universität Dortmund and has held postdoctoral positions at the International Computer Science Institute (ICSI) in Berkeley and the University of Birmingham. His research focuses on randomized algorithms, algorithmic analysis, and combinatorial optimization, with expertise in the theoretical analysis of bio-inspired search heuristics like evolutionary algorithms and ant colony optimization. His work emphasizes rigorous runtime analysis to understand algorithmic performance and design principles. Education: PhD in Computer Science, Technische Universität Dortmund (2008) Diploma in Computer Science, Technische Universität Dortmund (2004) Research Interests: Runtime analysis of evolutionary algorithms Algorithmic design for multimodal optimization Noise robustness in metaheuristics Parallel and distributed evolutionary computation Grants: SAGE: Speed of Adaptation in Population Genetics and Evolutionary Computation (EU FP7, 2014–2016) Teaching: University of Passau: Courses on algorithms, evolutionary computation, and randomized algorithms

Matthew Thorpeمشاهده پروفایل

دانشیار

• Machine Learning
• Data Science
• Applied Mathematics
• +۴ مورد دیگر

Matthew Thorpe is an Associate Professor in the Department of Statistics at the University of Warwick and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS). His research focuses on applying methods from applied analysis—including partial differential equations (PDEs), calculus of variations, and optimal transport—to machine learning and data science challenges. He has organized workshops such as the 'Machine Learning in Infinite Dimensions' at ETH Zurich and the 'LMS-Bath Symposium on Inverse Problems and Artificial Intelligence in Medicine.' Thorpe currently seeks PhD students for his research projects. His work bridges theoretical mathematics with practical applications in data-driven fields. Thorpe's research interests include manifold learning in Wasserstein space, PDE-based approaches to data science, and convergence analysis of graph-based learning algorithms. He has contributed to understanding the impact of imputation quality on machine learning models and developed novel transportation distances for pattern recognition. His interdisciplinary approach integrates mathematical rigor with advancements in artificial intelligence. He has co-organized the One World Seminar Series on the Mathematics of Machine Learning and remains active in promoting collaborative research initiatives. Despite no explicitly listed awards, his prolific publication record reflects sustained academic impact. Thorpe’s advising focuses on training students in the intersection of applied mathematics and modern data science techniques.

• Theatre
• Performance Studies
• Documentary Theatre
• +۳ مورد دیگر

Andy Lavender serves as Provost & Vice Principal (Academic) at Guildhall School of Music & Drama since 2024, previously holding the roles of Vice-Principal & Director of Production Arts and Professor of Theatre & Performance from 2020. His academic leadership spans the University of Warwick (Professor and Head of Theatre & Performance Studies), University of Surrey (Head of School of Arts), and Royal Central School of Speech & Drama (Head of Postgraduate Studies and Dean of Research). His research centers on contemporary theatre practices, with emphasis on documentary performance, intermediality, and multimodal performance. He investigates political engagement through protest theatre, neoliberalism's impact on artistic production, and the integration of robotics/digital technologies in live performance, often drawing from his practical experience as a theatre practitioner. Analysis of his 2019-2024 publications reveals consistent exploration of documentary forms, protest aesthetics, and technological mediation in performance. His work bridges theoretical frameworks with creative practice, particularly through collaborations examining textual construction, object agency, and cross-media performance. Scientific awards: No awards mentioned in source material. While specific students aren't listed, his leadership involved developing the UK's largest postgraduate theatre platform and PhD programs. He has extensive international validation experience across Hong Kong, Ireland, Singapore, and multiple European countries, plus consultancy for US, Dutch, French, Cypriot, and Australian institutions. As former artistic director of Lightwork, he created collaborative multimedia productions incorporating robotics, puppetry, and digital technologies through close work with designers and movement directors, documented in his co-edited 'Lightwork' texts (2022).

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.

Liming Chenمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• 3D Face Analysis
• +۲ مورد دیگر

Liming Chen is a Full Professor and Director of the Department Mathématiques - Informatique at École Centrale de Lyon, Université de Lyon. As a member of the Laboratoire d'Informatique en Image et Systèmes d'Information (LIRIS, UMR 5205), his research spans computer vision, pattern recognition, and multimedia computing. His extensive research portfolio includes 3D face analysis, image/video categorization, affect analysis, and biometric systems. He has led significant projects such as ANR 3D Face Analyzer, ANR Videosense, ANR Omnia, and ANR FAR3D, focusing on advanced recognition systems and multimodal analysis. Professor Chen supervises multiple PhD students and has developed open-source tools for 3D model processing. His work has received recognition through best performance awards at international competitions including SHREC 2011 (3D face recognition) and ImageCLEF 2011 (photo annotation).

• Nuclear Medicine
• Prostate Cancer Imaging
• Radiomics
• +۳ مورد دیگر

Giorgio Brembilla is a Researcher in Medicine at the Vita-Salute San Raffaele University, specializing in medical imaging and oncology. His research focuses on advanced imaging techniques such as PET/MRI and PSMA-based radiotracers for prostate cancer diagnosis and management. He leads studies on lymph node detection, radiomics signatures, and predictive modeling for surgical outcomes. His work integrates clinical, imaging, and genomic data to improve diagnostic accuracy and treatment strategies. Affiliations: Vita-Salute San Raffaele University, Department of Medicine (implied). Teaching: Courses include 'Imaging in Urology' and 'Imaging of the Musculoskeletal System.' Key research interests include the development of hybrid imaging workflows, AI-driven segmentation of tumor lesions, and risk stratification models for kidney and prostate cancers. His recent studies address external validation challenges in radiomics and the impact of imaging quality on prostate cancer detection. Publications highlight contributions to PSMA PET-based radiomics, preoperative risk calculators, and the diagnostic accuracy of hybrid imaging modalities. Collaborations focus on translational research bridging imaging and clinical oncology.

Raffaella Bernardiمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۶ مورد دیگر

Raffaella Bernardi is an Associate Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Science (CIMeC). She holds a PhD in Logic and Language from Utrecht University (2002) and has held academic positions at the Free University of Bozen-Bolzano and the University of Trento. Her research focuses on computational linguistics, formal semantics, distributional semantics, and multimodal models, with a particular emphasis on integrating vision and language systems. Education: PhD in Logic and Type Theory (2002, Utrecht University), Master's in Philosophy (1994, University of Chieti), and High School Diploma (1990). Research Interests: Natural Language Processing, Categorial Type Logic, Compositional Distributional Semantics, Visual Dialogues, and Multimodal Reasoning. She has pioneered work on grounding language in visual contexts and has contributed to key projects like the ERC-funded COMPOSES initiative. Grants & Leadership: Principal Investigator on EU projects (e.g., CACAO, Galateas) and member of the ERC COMPOSES team. She chairs conferences like ACL and EMNLP and serves on editorial boards for journals like the Journal of Logic, Language, and Information. Labs: Leads the LaVi (Language and Vision) research group and collaborates with the CLIC Lab. Active in organizing workshops on Formal Grammar and Vision-Language Integration.

Bruna Petrecaمشاهده پروفایل

استاد

• Circular Economy
• Materials Science
• Human-Centered Design
• +۳ مورد دیگر

Dr. Bruna Petreca is a Professor and Reader in Human Experience and Materials at the Royal College of Art's Materials Science Research Centre. She specializes in integrating human experience into materials development, focusing on circular economy, digital environments, and health/wellbeing. Her research leads projects like the UKRI Textiles Circularity Centre and EPSRC Dematerialisation initiatives, emphasizing sustainable fashion, consumer behavior, and digital tools. Educated at the University of São Paulo (BA in Fashion/Textiles) and the RCA (PhD in Design Products), she has a postdoctoral background at TU Delft. Awards include 2013 Human Centred Design prizes and recognition for her work on material experience frameworks. She collaborates internationally, chairs research ethics at RCA, and co-leads projects on AI design tools and circular fashion. Her teaching spans undergraduate/postgraduate levels, emphasizing materials science, human-centered design, and sustainable practices. Education: PhD (RCA), Postdoc (TU Delft), BA (USP) Key Projects: Textiles Circularity Centre (UKRI), Consumer Experience Digital Tools (EPSRC), Brazil-UK Natural Polymers Network Awards: Best Concept/Human Centred Design (2013), Best Poster Presentation (2013) Research Themes: Circular fashion, material experience frameworks, embodied design, AR tools for sustainability

Pierre Jourlinمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Programming Languages
• +۳ مورد دیگر

Pierre Jourlin is a Professor at Avignon University, specializing in Computer Science and Artificial Intelligence. He actively contributes to academic events such as workshops on programming education and AI ethics. His research focuses on areas like natural language processing, machine learning, and the societal impact of AI. Jourlin has organized events like a programming workshop for high school students (2022) and authored numerous articles on topics ranging from rule-based event extraction to generative AI in creative writing. His academic contributions include work on semantic disambiguation, medical literature tools (SIMI), and foundational studies in speech recognition and multimedia retrieval. He critiques AI limitations, emphasizing the importance of human oversight in code generation and advocating for accessible education to counteract underfunding in public schools. Jourlin's recent publications (2024–2025) address AI's role in creative fields and the evolution of programming languages. His work often bridges technical innovation with ethical considerations, as seen in his analysis of code-producing AI tools like Copilot. He remains an active member of the academic community, blending research with pedagogical outreach.

• Speech analysis
• Experimental phonetics
• Foreign accent
• +۳ مورد دیگر

Lya Meister is a Research Fellow at Tallinn University of Technology's School of Information Technologies, Department of Software Science. She has held this position since 2017, continuing her career from the Institute of Cybernetics at TUT where she served as a Research Fellow (2009–2016) and Extraordinary Research Fellow (2005–2008). Her academic background includes a Doctor's Degree in 2011 (University of Tartu) and a Research Master's Degree in 2005 (Tallinn University). Education: PhD: University of Tartu, 2005–2011 Master's: Tallinn Pedagogical University, Estonian Philology, 2002–2005 Bachelor's: Tallinn Pedagogical University, Russian Philology, 1975–1979 Her research focuses on experimental phonetics, speech corpora analysis, and the acoustic characteristics of speech production. Notable projects include the Improving the intelligibility of sung text (2022–2026) and contributions to the Estonian Elderly Speech Corpus. She has organized major conferences like the Phonetics Symposium 2024 and served on international committees for speech technology initiatives. Her awards include the 2023 School of Information Technologies Paper of the Year and the 2012 Best Paper Award from the Institute of Cybernetics. Her work spans over 68 publications, with recent emphasis on plosive closure duration in singing, vowel-consonant intensity ratios, and developmental phonetic changes in adolescents.

Sylvain Sénécalمشاهده پروفایل

استاد

• Internet marketing
• Online consumer behavior
• User experience (UX)
• +۷ مورد دیگر

Sylvain Sénécal is a Professor at the Department of Marketing, HEC Montréal. He holds the RBC Financial Group Chair of E-commerce and co-directs the Tech3Lab. His expertise focuses on internet marketing and online consumer behavior, with a strong emphasis on user experience (UX) research, neuro-marketing, and digital technology impacts. He earned both his M.Sc. and Ph.D. in Marketing from HEC Montréal. His research explores topics such as cognitive load in online shopping, driver distraction mitigation via technology, and ethical implications of AI in HR management. He has supervised over 60 students, including 7 PhD graduates and numerous master's theses. Key awards include the 2023 Pierre-Laurin Research Prize. His work bridges marketing, information systems, and neuroscience, with notable contributions to UX design, consumer behavior analysis, and the psychological effects of digital tools. The Tech3Lab under his co-direction focuses on technology-driven innovation in business and consumer interactions.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Hwan Choiمشاهده پروفایل

استادیار

• Prosthetic Devices
• Exoskeletal Systems
• Musculoskeletal Analysis
• +۳ مورد دیگر

Dr. Hwan Choi is an Assistant Professor at the University of Central Florida (UCF), affiliated with the College of Engineering. He leads the Rehabilitation Engineering and Assistive Device Lab, focusing on advancing prosthetic and exoskeletal technologies to enhance mobility for individuals with disabilities. His work integrates biomechanical analysis, neural control strategies, and assistive device design to address challenges in rehabilitation engineering. Education: Dr. Choi earned his Ph.D. in Engineering from the University of Washington (2016), a Master of Engineering (2006), and a Bachelor of Engineering (2004) from Korea University. He completed a Postdoctoral Research Fellowship at the University of Michigan in 2018. Research Interests: His studies prioritize prosthetic device optimization, exoskeleton system development, musculoskeletal modeling, and neural control mechanisms. He investigates how biomechanical insights can improve device performance and user adaptation, with applications in transtibial amputee mobility, cerebral palsy gait correction, and aging-related mobility issues. Article Trends: Recent work emphasizes multimodal data integration (e.g., IMU sensors, sEMG), adaptive prosthetic systems, and machine learning for gait analysis. Key themes include improving clinical outcomes through smart technologies and addressing unmet needs in orthotic/prosthetic design. Awards: Gatzert Child Welfare Fellowship (2016), Travel Grant from Gait and Clinical Movement Analysis Society (2016), University of Washington Research Assistant Scholarship (2011–2016), Louis and Katherine Marsh Memorial Fellowship (2012). Advising & Grants: While specific advisees are not listed, Dr. Choi’s lab actively engages in collaborative projects, with funding support from scholarships and institutional grants. His research bridges academic and clinical settings, emphasizing translational outcomes. Labs/Teams: The Rehabilitation Engineering and Assistive Device Lab focuses on developing innovative solutions for mobility impairments, including smart adaptive prosthetic sockets and variable-stiffness orthoses. Current projects explore machine learning-driven gait analysis and self-sanitizing medical devices.

Michelle Taubمشاهده پروفایل

دانشیار

• Self-Regulated Learning
• Educational Psychology
• Learning Sciences
• +۶ مورد دیگر

Michelle Taub is an Associate Professor in the Department of Learning Sciences and Educational Research at the University of Central Florida's College of Community Innovation and Education. Her research focuses on multimodal data analytics to study emotional and motivational influences on self-regulated learning (SRL) in advanced technologies like game-based environments, intelligent tutoring systems (ITS), and immersive virtual reality. Education: Ph.D. in Psychology (Human Factors and Applied Cognition) from North Carolina State University; M.A. and B.A. in Psychology from McGill University. Her work integrates eye tracking, facial expression analysis, log files, and physiological sensors to model learning processes across diverse populations. Recent projects examine how student agency, prior knowledge, and contextual emotions affect SRL, scientific reasoning, and performance in digital environments. Key trends in her publications include: Development of dashboards for SRL scaffolding (2025) Game-based interventions for fraction learning and STEM engagement (2024) AI-driven personalized learning frameworks (2024) Emotion-cognition interactions in ITS and VR (2023-2024)