جست‌وجوی استاد و پژوهشگر

Christine Eversمشاهده پروفایل

دانشیار

• Machine Listening
• Robot Audition
• Bayesian Inference
• +۳ مورد دیگر

Dr. Christine Evers is an Associate Professor in Computer Science at the University of Southampton. Her research focuses on Machine Listening, Robot Audition, and Bayesian Inference, intersecting robotics, machine learning, and acoustic signal processing. She leads the EPSRC-funded 'ActivATOR' project and collaborates on initiatives like the 'CIAT' and UKRI MINDS CDT. Previously, she held an EPSRC Fellowship at Imperial College London and worked in industry as a Senior Systems Engineer. Education: PhD in Statistical Signal Processing from the University of Edinburgh. Research Interests: Machine Listening involves developing algorithms for robots to interpret auditory environments. Robot Audition explores binaural and spherical microphone array processing. Bayesian methods underpin probabilistic approaches to acoustic scene analysis. Key Projects: Principal Investigator of ActivATOR (robotic auditory systems), Co-Investigator on CIAT (immersive audio tech), and MINDS CDT (machine intelligence for nanoelectronics). Her work integrates AI ethics, environmental monitoring, and multi-modal sensing. Advising: Supervises 9 PhD students across topics like ethical AI, underwater acoustics, and environmental data science. Active in reviewing for IEEE journals and conferences, serving on technical committees in audio signal processing. Labs/Teams: Member of the Vision, Learning & Control Agents group and the Centre for Robotics Research. Collaborates with interdisciplinary teams on autonomous systems and human-robot interaction.

• Behavioral Medicine
• Health Psychology
• Aging and Gerontology
• +۵ مورد دیگر

Professor Anna Whittaker is a Professor of Behavioural Medicine at the University of Stirling's Faculty of Health Sciences and Sport. Her expertise spans stress, aging, physical activity, and immunity, with a focus on their interplay in health outcomes. She holds a PhD from the University of Birmingham (2005) and has led major grants like the GOALD project and the PANINI European Commission initiative. Recognized internationally, she has received awards including the American Psychosomatic Society's Early Career Award and the British Psychological Society's Fellowship. Her research emphasizes interventions to mitigate frailty and promote healthy aging through multidisciplinary approaches. She actively engages in public outreach, including the Stirling Science Festival, and has mentored over 11 early-stage researchers via the PANINI ITN program. Education: PhD in Psychology, University of Birmingham (2005) Postdoctoral Fellowship at University of Birmingham (2006–2010) Research Councils UK Fellowship (2006–2011) Research Interests: Cardiovascular Psychophysiology and Stress Reactivity Psychoneuroimmunology and Inflammation Frailty and Physical Activity in Aging Populations Digital Interventions for Health Promotion Her work integrates behavioral, physiological, and biomedical factors to develop preventive strategies for age-related health decline. Awards & Recognition: Herbert Weiner Early Career Award (2010) Neal Miller Early Career Award (2010) Fellow of the British Psychological Society (2016) Wall of Fame Research Culture Awards (2024) Grants & Projects: Generating Older Active Lives Digitally (GOALD) – Co-Led (2020–2024) PANINI Marie Curie ITN – Project Lead (2016–2020) SPARKLE Group: Behavioral Impact of COVID-19 on Older Adults She has secured over £2M in funding for aging-related research. Teaching & Mentorship: Director of Postgraduate Research Studies at University of Stirling External Examiner for 10+ universities including University College London and University of Sydney Recipient of multiple mentoring awards (2022–2024) Labs & Collaborations: SPARKLE Group – Focus on social and behavioral health in aging International collaborations with 20+ institutions via PANINI ITN Her work bridges academia, industry, and third-sector partners to maximize societal impact.

Albert Merono Penuelaمشاهده پروفایل

مدرس ارشد

• Knowledge Graphs
• Large Language Models
• Natural Language Processing
• +۳ مورد دیگر

Albert Merono Penuela is a Senior Lecturer in Informatics, actively engaged in interdisciplinary research focusing on knowledge graphs, large language models, and computational linguistics. His work contributes to UN Sustainable Development Goals related to knowledge equity and digital inclusion. He leads or co-leads major projects including RAI4KG (Responsible AI for Knowledge Graphs), MuseIT (cultural technology experiences), and Polifonia (musical heritage digitization). Research interests span collaborative knowledge engineering, semantic drift analysis in disability discourse, and ethical applications of LLMs in abusive language detection. His recent work critiques static benchmark limitations in evolving language systems. He has secured funding from EPSRC, TSB, and EU Horizon programs, serving as Principal Investigator in multiple grants. Currently oversees projects funded until December 2025, with notable collaborations extending globally. His contributions bridge technical innovation with societal impact through digital humanities and inclusive technology initiatives.

Mark Daleyمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Neuroscience
• Biomarker Discovery
• +۵ مورد دیگر

Mark Daley is a full Professor in the Department of Computer Science at Western University, with cross-appointments in Biology, Epidemiology & Biostatistics, Electrical & Computer Engineering, Applied Mathematics, and Statistics & Actuarial Science. He holds affiliations with the Rotman Institute of Philosophy, Western Institute for Neuroscience, and Vector Institute for Artificial Intelligence. As Vice-President, Research at CIFAR, he leads strategic research initiatives and advises on national research priorities. His research bridges theoretical computer science, artificial intelligence, and neuroscience, focusing on computational methods for understanding natural and machine intelligence. Research Interests: His work emphasizes biomarker discovery for critical illnesses (e.g., sepsis, traumatic injury), AI-driven diagnostics, and modeling complex biological systems using connectome-based approaches. He explores interdisciplinary applications of machine learning in healthcare, neuroscience, and pandemic response. Notable projects include developing metabolomic and proteomic signatures for disease diagnosis and predicting clinical outcomes. Key Projects: Directs the Computational Convergence Lab, advancing AI and computational tools for biomedical research. Leads the COMPASS-COVID-19-ICU study and contributes to global efforts analyzing SARS-CoV-2 variants and long-COVID biomarkers. Has pioneered computational frameworks integrating connectome data into reservoir computing architectures. Administrative Roles: Previously served as Associate Vice-President (Research) at Western University and chaired Compute Ontario. Current roles include strategic leadership in national research infrastructure and digital governance. His work emphasizes ethical AI implementation and data privacy in healthcare tech.

Stéphane Mallatمشاهده پروفایل

استاد

• Signal Processing
• Wavelet Theory
• Machine Learning
• +۴ مورد دیگر

Stéphane Mallat is a Professor at the Collège de France, holding the Chair of Data Sciences. He is also affiliated with the École normale supérieure in Paris, where his address is located. His research focuses on signal processing, wavelet theory, and their applications in machine learning and data sciences. Mallat pioneered wavelet transforms for signal decomposition and has contributed to scattering transforms for invariant feature extraction in deep learning. His work bridges applied mathematics, harmonic analysis, and computational methods, with impactful applications in image processing, audio analysis, and quantum chemistry. Publicly listed articles span from foundational wavelet theory (1989) to recent advances in scattering networks (2020). His research trends emphasize geometric signal representations, sparse approximations, and interdisciplinary applications across physics and engineering. His CV and publications are available through institutional links, though specific awards or grants are not explicitly detailed in the provided texts. He collaborates extensively with researchers in mathematics and computer science, advancing theoretical frameworks with practical implementations.

• Deep Learning
• Audio/Video Content Analysis
• Biomedical Data Analysis
• +۳ مورد دیگر

Dr. Markus Mühling is a Research Fellow in the Department of Mathematics and Computer Science at Philipps-Universität Marburg, working under Prof. Bernd Freisleben. His research focuses on deep learning applications for audio/video content analysis and biomedical data interpretation. He joined the group in 2015 and has contributed to projects involving wildlife monitoring, medical imaging, and heritage digitization. His work spans sensor networks, neural network architectures, and edge computing solutions for real-world challenges. Key research areas include: Deep learning for bioacoustic and visual species recognition Automated analysis of biomedical and histological images Edge-based AI systems for resource-constrained environments Content-based retrieval in video and image archives Publications highlight advancements in biodiversity monitoring (e.g., acoustic sensor networks), medical imaging (e.g., blood cell counting), and cultural heritage (e.g., organ tablature transcription). His work bridges theoretical machine learning with practical ecological and biomedical applications.

• Deep Learning
• Image and Video Analysis
• Visual Similarity Search
• +۳ مورد دیگر

Nikolaus Korfhage is a Research Fellow at Philipps-Universität Marburg, affiliated with the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science. He is part of Prof. Bernd Freisleben's research group focusing on Distributed Systems and Intelligent Computing. His research emphasizes deep learning applications in image and video analysis, particularly visual similarity search and biomedical data analysis. Korfhage initiated his PhD in 2016 under Prof. Freisleben’s supervision, exploring computational methods for multimedia data processing. His work spans diverse domains including avian physiology analysis, automated music notation transcription, and historical video archive retrieval. Notable projects include the VIVA initiative for content-based video search and the DeepTab system for transcribing organ tablature music. Recent publications highlight advancements in cell segmentation, bat echolocation analysis, and transformer-based species recognition. Korfhage’s contributions bridge computer science and interdisciplinary fields like biology and musicology. He collaborates actively on tools like ElasticHash for semantic image search and MESA for synthetic DNA assessment. His research underscores innovation in both technical methodologies and real-world applications across multimedia, biomedical, and ecological domains.

Lindi Liaoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۹ مورد دیگر

Dr. Lindi Liao is an Associate Professor in the School of Computing at George Mason University. She specializes in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and has over 20 years of R&D experience. Her research includes multimodal AI, generative AI, edge AI, self-driving cars, robotics, and geospatial computing. She holds a PhD in Computer Science from George Washington University and an MS from Purdue University. Education: PhD in Computer Science, George Washington University MS in Computer Science, Purdue University Research Interests: Dr. Liao's work spans Artificial Intelligence , Machine Learning , Natural Language Processing , Computer Vision , and Big Data Computing . She explores cutting-edge areas like Generative AI , Agentic AI , Human-Robot Interaction , and AI for Arts & Music . Her contributions include frameworks for multimodal knowledge retrieval , automated defect detection , and music generation algorithms . Advising & Grants: Dr. Liao oversees rigorous GTA/GRA selection processes with stringent academic and technical criteria. She prioritizes candidates with top-tier academic performance, research passion, and collaborative skills. Her industry collaborations include Fortune Global 30 companies and government agencies like the U.S. Department of Transportation. Labs/Teams: While specific lab names are not mentioned, Dr. Liao's work bridges academia and industry through collaborative R&D initiatives in AI, robotics, and Big Data.

• Health Informatics
• Artificial Intelligence in Healthcare
• Disability Research
• +۷ مورد دیگر

Mohanraj Thirumalai serves as an Associate Professor in the Division of Preventive Medicine at the University of Alabama at Birmingham (UAB) School of Medicine, with joint appointments across multiple departments including Health Services Administration in the School of Health Professions. He directs the Health Technology program and leads several research centers focused on rehabilitation engineering and health technology innovation. His academic journey includes a PhD in Management Information Systems from the University of Illinois at Chicago, complemented by multiple engineering degrees. Dr. Thirumalai's research focuses on the intersection of technology and health equity, specifically developing accessible solutions for underserved populations and people with disabilities. His work spans health informatics, telehealth, artificial intelligence applications, and user-centered design of health technologies. He has pioneered tele-exercise interventions, AI-driven monitoring systems, and gamified health programs that address physical activity, chronic disease management, and rehabilitation needs for individuals with mobility limitations. His publication record demonstrates consistent focus on technology-enabled health interventions, particularly examining tele-exercise platforms, AI applications for patient education materials, and accessibility tools for people with disabilities. Recent work shows increasing integration of large language models and adaptive technologies to address health disparities in rural and disability communities. UAB Distinguished Service Award (2020) UAB Faculty Innovator of the Year (2020) Dr. Thirumalai has secured substantial funding from NIH, CDC, and Administration for Community Living for projects including the RERC on Recreation, Sport, and Exercise Technologies for People with Disabilities, AI4CHRON, and multiple telehealth interventions for physical activity and chronic disease management. He serves as Principal Investigator on numerous federally-funded grants addressing health equity through technology solutions. His leadership extends to directing a rehabilitation engineering research center focused on recreational and exercise technologies for people with disabilities. He actively contributes to developing the next generation of health informatics professionals through teaching courses on user-centered health information systems development and serving on multiple dissertation committees. His collaborative approach is evident in his extensive network of co-investigators across multiple disciplines and institutions.

• Music Therapy
• Mild Cognitive Impairment
• Alzheimer's Disease
• +۶ مورد دیگر

Olga Bruna Rabassa is an Associate Professor at the Blanquerna School of Psychology, Education and Sports Sciences, Ramon Llull University. Her research focuses on music therapy, cognitive impairment, and gamified interventions for intellectual disability aging. She leads projects like HELP-ACTIVe, exploring digital solutions for healthy aging in adults with disabilities. Expertise: Music Therapy, Alzheimer’s/Parkinson’s Disease, Executive Function Key Projects: COMSAL (2022-2025), HELP-ACTIVe series (2020-2024) Her work emphasizes neuropsychological assessments in music-based interventions and gamification for cognitive training. Recent studies include cultural adaptation of aphasia assessment tools and pilot trials of neurological music therapy for severe dementia. Grants include funding from Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) and internal university initiatives. She collaborates with researchers in Spain and internationally on aging, disability, and neurorehabilitation.

• Health Psychology
• Mental Health Interventions
• Nature Connectedness
• +۴ مورد دیگر

Professor David Sheffield is a Professor of Psychology at the University of Derby, affiliated with the School of Psychology and the College of Health, Psychology and Social Care. His work spans health psychology, well-being interventions, and environmental psychology. He holds a PhD from Glasgow Caledonian University and is a Chartered Psychologist and Registered Health Psychologist. Education: BA (Hons) Psychology, University of Nottingham PhD Psychology, Glasgow Caledonian University Research Interests: Choirs and Mental Health (ESRC-funded) Social Prescribing Nature Connectedness Pain Management Maths Anxiety Environmental Psychology Recent Themes in Articles: His work explores nature-based interventions, group singing benefits for older adults, and the intersection of health psychology with environmental and social factors. Key themes include using nature for well-being, evaluating digital health tools, and understanding psychophysiological responses in stress and pain. Grants & Advising: Supervised over 30 PhD/Doctorate students Funded projects: ESRC, AHRC, NERC Labs/Teams: Active in the Human Sciences Research Centre and collaborates globally with institutions in Europe, USA, Japan, Korea, and Africa.

Anthony Pinterمشاهده پروفایل

استاد آموزشی

• Human-Computer Interaction (HCI)
• Online Identity Management
• Digital Sociology
• +۳ مورد دیگر

Anthony Pinter is an Assistant Teaching Professor at the ATLAS Institute, University of Colorado Boulder, specializing in Creative Technology and Design. He holds a PhD in Information Science from CU Boulder and prior degrees from Penn State's College of Information Sciences and Technology. His research focuses on online identity management post-romantic breakups, digital data representations, and sociotechnical systems' impact on personal narratives. He is also an Adjunct Part-Time Faculty member at Penn State and a Research Advisor for the iSchool Inclusion Institute (i3). Notable recognitions include the i3 Mentor of the Year (2022-23), ASSETT/CTL Faculty Fellow (2023-24), and a Small Grant from the Center for Humanities and the Arts (2023). His work explores how individuals navigate data remnants from past relationships, algorithmic curation challenges, and music's role in memory preservation. Pinter's teaching spans web development, computational thinking, and data storytelling. His projects include designing break-up feature prototypes for social media platforms and exploring music's emotional significance post-breakup. He has also contributed to initiatives like the Identity Lab and the i3 Scholars program.

Celine Latulipeمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Science Education
• Technology for Older Adults
• +۶ مورد دیگر

Dr. Celine Latulipe is a Professor in the Department of Computer Science at the University of Manitoba, with prior tenure as a Professor at the University of North Carolina at Charlotte. She holds a PhD in Computer Science from the University of Waterloo (2006) and has a strong focus on Human-Computer Interaction (HCI), Computer Science Education, and technology support for older adults. Her research explores caregiver-older adult partnerships in digital spaces, inclusive pedagogy for underserved populations, and creativity-support tools. Education: PhD (Computer Science, Waterloo), MMath (Computer Science, Waterloo), B.A. (Economics & Applied Studies, Waterloo) Affiliations: Co-Chair of SIGCHI Cares Committee, Steering Committee Member of ACM Creativity & Cognition Conference, and Research Affiliate at UNC Charlotte. Recent Leadership: Co-Chair of Creativity & Cognition 2024 (Chicago) and Virtual Venue Chair for 2025. Designed immersive virtual conference spaces using Gather.Town (e.g., C&C 2021/2023). Grants & Funding: NSERC-funded projects on aging technology and financial accessibility. Research Themes: Her work spans financial technology for older adults (e.g., proxy banking accounts), CS curriculum innovation, and interdisciplinary collaboration beyond STEM. She advocates for equitable educational practices and has published widely on pandemic-era learning, inclusive teaching, and digital accessibility. Professional Impact: Supervises graduate students (e.g., Zach Havens, Min Kyu Jung) and collaborates on projects like the Connected Learner initiative. Her recent work addresses caregiver password-sharing risks and anti-racist curricular frameworks.

Mark Albertمشاهده پروفایل

دانشیار

• Machine Learning
• Medical AI
• Wearable Technology
• +۳ مورد دیگر

Mark Albert is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas. He serves as Associate Chair for Graduate Studies, overseeing graduate education programs and academic policies. His research focuses on AI-driven solutions for biomedical applications, wearable technology, and healthcare informatics. Key areas include machine learning for clinical gait analysis, fall risk assessment, and multimodal radiology report generation. Dr. Albert also explores conflict forecasting using large language models and develops assistive technologies for individuals with mobility impairments. His work integrates sensor data analysis, reinforcement learning, and natural language processing to address challenges in rehabilitation engineering, pediatric neurology, and sound exposure monitoring. Notable projects include the Shriners Gait Index, a metric for surgical outcomes in cerebral palsy patients, and AI-organoid systems for biomedical research. He has collaborated on mobile health systems for Parkinson’s disease symptom tracking and wearable spasticity estimation technologies. Dr. Albert’s contributions span 50+ peer-reviewed articles since 2003, with recent emphasis on medical AI applications. He advises graduate students on interdisciplinary projects combining computer science with healthcare, and has developed outreach initiatives like the Brain Geography Mini-Course for neuroscience education.

• Digital Media Influence
• Social Media Analysis
• Critical Theory
• +۸ مورد دیگر

Julia Beckmann, M.A., is a researcher at the University of Siegen's Faculty of Business Informatics and New Media, affiliated with the Chair of Business Informatics and New Media. Since June 2023, she has been a research assistant in the FUSION project and the Mittelstand-Digital Zentrum Ländliche Regionen initiative. Her academic background includes a Master's in Sociology from Goethe University Frankfurt and prior studies in English and Social Sciences (teacher training). Her research focuses on digital media's dual influence on content creators and consumers, particularly analyzing online discourses around Borderline Personality Disorder via ethnographic methods and Critical Theory. Key interests include subjectivation, discourse analysis, social psychology, psychoanalysis, power dynamics, and Science and Technology Studies. Her work integrates participatory design approaches, as seen in a 2025 publication in i-com exploring socio-robotic systems in orthopedic rehabilitation. This study highlights the potential of music-based exercises and digital applications to enhance patient engagement and therapeutic outcomes. Beckmann has contributed to projects like KontiKat and supported the Empirical Social Research Chair during her studies. She is currently pursuing a dissertation at the University of Vienna examining Instagram Stories' role in shaping mental health discourses.