جستجوی استاد راهنمای دانشگاهی

• Cybersecurity
• Digital Forensics
• AI Security
• +۶ مورد دیگر

Assoc. Prof. Nhien An Le Khac is an Associate Professor at the School of Computer Science, University College Dublin. He serves as Programme Director for the MSc in Forensic Computing & Cybercrime Investigation, which has trained over 1,500 law enforcement officers globally. His research focuses on cybersecurity, digital forensics, AI security, and secure healthcare IT systems. He holds a PhD from Institut National Polytechnique de Grenoble (France) and has supervised 9 PhD students. His work includes pioneering contributions to electromagnetic side-channel analysis (EM-SCA) for IoT forensics, blockchain forensics, and AI-based fraud detection. Education: BSc/MSc: Vietnam National University, Ho Chi Minh City PhD: Institut National Polytechnique de Grenoble, France Professional Certificate in University Teaching & Learning: UCD Research Interests: Cybersecurity, Digital Forensics, AI Security, Machine Learning, Cloud Computing, Big Data Analytics, Healthcare IT Security. Recent Article Trends: Focus on EM-SCA for IoT device forensics, illicit Bitcoin transaction tracking, and cross-device ML portability. His work bridges theoretical AI advancements with practical forensic applications, emphasizing privacy preservation and explainable AI. Awards & Recognition: World’s Top 2% Scientists (2024) UCD Teaching Excellence Awards (2022, 2018) Best Paper Awards at Elsevier, AI-2022, and DFRWS conferences Grants & Advising: Principal Investigator on grants like Cloud Atlas, CERBERUS, and Urban ARK. Advised 9 PhD students who now work in academia/research globally. Active in funding initiatives like ML-Labs (SFI-funded). Labs & Teams: Leads ASEADOS Lab and maintains datasets like EM-SCA and InSDN. Collaborates globally on forensic frameworks and cybersecurity tools.

• Machine Learning
• Time Series Analysis
• Text Mining
• +۷ مورد دیگر

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

David McKeownمشاهده پروفایل

استادیار

• Spacecraft Dynamics and Control
• Aerospace Engineering
• Nanosatellite Technology
• +۳ مورد دیگر

Dr. David McKeown is an Assistant Professor in the School of Mechanical and Materials Engineering at University College Dublin (UCD). His research focuses on dynamics and control of space structures, nanosatellite hardware design, and attitude determination and control systems (ADCS). He leads the EIRSAT-1 project, Ireland's first satellite, launched in 2023, and manages the National Space Subsystems and Payloads Initiative (NSSPI), securing €7.9 million in funding. As an investigator for the European Space Agency’s DEAR project, he develops robotic systems to mitigate lunar dust effects. He collaborates with UCD’s School of Physics on ADCS projects and founded Dublin Maker and Science Hack Day Dublin. Education: Bachelor of Engineering (BE), University College Dublin Doctor of Philosophy (PhD), University College Dublin Research Themes: Spacecraft dynamics control, nanosatellite ADCS, space mission design, and space hardware testing. His work bridges academia and industry, with a focus on advancing Ireland’s space capabilities through projects like EIRSAT-1 and NSSPI. Grants & Funding: Principal Investigator for the €7.9M NSSPI project under DTIF and SFI grants supporting ADCS testbed development and lunar dust mitigation research. Advising & Leadership: Leads the Space Structure Dynamics and Control Theme at UCD’s Centre for Space Research (C-Space). Chair of SMME PhD transfer panels and member of various university committees. Public engagement includes roles in RTE’s Big Life Fix and Kildare Libraries’ Space Week. Labs & Teams: UCD Centre for Space Research, DEAR project collaborations, and partnerships with industry through NSSPI.

• Digital Health
• Wearables
• Connected Health
• +۴ مورد دیگر

Dr. Rob Argent is a Lecturer in Digital & Connected Health at the Royal College of Surgeons in Ireland (RCSI), within the School of Pharmacy and Biomolecular Sciences. With a background as a Physiotherapist in the NHS, he transitioned to academic research through a PhD in Connected Health at University College Dublin (UCD). His work focuses on patient-facing digital health technologies, particularly wearables for musculoskeletal rehabilitation and chronic disease management. He is an editorial board member of npj Digital Medicine and holds certifications in health professions education. Education: BSc (Hons) Physiotherapy, Coventry University (2007–2010) PhD in Connected Health, University College Dublin (2016–2019) PGDip in Health Professions Education, RCSI (2021) Professional Certificate in University Teaching & Learning, UCD Research Interests: Rob's research bridges clinical practice and technology, emphasizing wearable sensor validation, digital biomarkers, and usability of health technologies. Key areas include gait analysis, fall detection algorithms, and the evaluation of consumer wearables. He advocates for stakeholder-driven digital health solutions aligned with UN Sustainable Development Goal 3 (Good Health). Grants & Projects: "Evaluation of novel digital biomarkers in Multiple Sclerosis" (Enterprise Ireland, 2023–2026) "CERBERUS: Certainty of Evidence Reports for Wearable Devices" (SFI, 2023–2024) "EPIVIEWS: Epilepsy Wearables Monitoring Study" (Irish Research Council, 2022–2025) Teaching Roles: Module Lead for Connected Healthcare and Internet of Medical Things in RCSI's MSc Technologies & Analytics in Precision Medicine program. Also contributes to leadership development, lifestyle medicine, and project management modules across multiple programs. Labs/Teams: Part of RCSI's Population Health research cluster and collaborates with UCD's Insight Centre for Data Analytics. His work aligns with interdisciplinary efforts to advance digital health innovation and clinical translation.

• Machine Learning
• Computer Vision
• Human Motion Analysis
• +۳ مورد دیگر

Dr. Timilehin Aderinola is a Marie Curie Postdoctoral Fellow at the School of Computer Science, University College Dublin. His research focuses on applying machine learning and computer vision to analyze human movement, particularly in neurological conditions like Parkinson's disease. He holds a PhD in Information Technology from Multimedia University, Malaysia (2022), and master's and bachelor's degrees from Federal University of Technology Akure, Nigeria (2017 and 2012). Education: B.Eng. (Hons) in Electrical and Electronic Engineering, Federal University of Technology Akure (2012) M.Sc. in Computer Science, Federal University of Technology Akure (2017) PhD in Information Technology, Multimedia University Malaysia (2022) Research Interests: Machine Learning and Computer Vision Human Motion Analysis (e.g., gait analysis, fall detection) Applications in healthcare and surveillance Awards: Silver Medal (2021) for commercialization potential of PhD work Honourable Mention (2021) at NP2C poster competition Advising/Grants: Co-supervised research projects on exercise classification and human pose estimation. Engaged in peer review for conferences like ECML-PKDD and ICoICT. Labs/Teams: Active in the Insight Centre for Data Analytics at UCD, focusing on NeuroInsight Marie Skłodowska-Curie Fellowship projects analyzing mobility data for neurological patients.

John Nelsonمشاهده پروفایل

استاد

• Biomedical Engineering
• Activity Recognition
• Wireless Sensor Networks
• +۵ مورد دیگر

John Nelson is a Professor at the University of Limerick's Department of Electronic and Computer Engineering, part of the Faculty of Science and Engineering. His contact information includes email john.nelson@ul.ie and phone +353-(0)61-202358, with office location D2-025. His primary research interests focus on biomedical applications of engineering principles, particularly in: Medical device development including pulse oximetry and therapeutic technologies Activity recognition systems using wearable sensors and accelerometers Wireless body area networks for health monitoring AI applications in healthcare and public systems Fall detection and mobility monitoring for assisted living Mobile health frameworks for psychological interventions Analysis of his 15 most recent publications (2014-2021) reveals three dominant themes: Medical sensing technologies for pulse oximetry, aneurysm monitoring and ultrasound imaging AI/Deep Learning applications ranging from public space analysis to ethical enforcement systems Comprehensive activity recognition frameworks using multi-sensor fusion The research consistently demonstrates interdisciplinary collaboration across medicine, computer science and psychology. No awards, students, or lab/team information is available in the provided materials.

Jason Chanمشاهده پروفایل

استاد

• Multisensory Integration
• Cognitive Neuroscience
• Autism Spectrum Disorder
• +۳ مورد دیگر

Jason Chan is a Professor in the Department of Applied Psychology at University College Cork (UCC), Ireland, where he leads research at the intersection of brain and behavior. His work utilizes advanced neuroimaging techniques including magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and electroencephalography (EEG) to investigate multisensory integration and its applications in understanding neurological conditions. Dr. Chan earned his BA from California State University, Los Angeles, followed by a D.Phil in Experimental Psychology from the University of Oxford. Prior to joining UCC, he conducted post-doctoral research at Trinity College Dublin and Goethe University, gaining expertise in diverse research methodologies across international institutions. His primary research focus centers on multisensory integration (MSI), examining how perceptual training affects cortical connectivity and how these processes serve as biomarkers for neurological conditions including autism spectrum disorder and mild cognitive impairment in aging populations. Through seemingly simple behavioral tasks coupled with sophisticated neuroimaging, Chan's work provides critical insights into human perception and disorders. Analysis of his recent publications reveals a consistent trajectory in multisensory research, with increasing focus on aging populations, autism spectrum disorders, and the application of predictive coding frameworks to understand perceptual processing differences. His work spans both theoretical neuroscience and practical applications for cognitive rehabilitation. Dr. Chan has secured multiple research grants, including funding from Enterprise Ireland, HEA COVID Support, and the Health Research Board for projects examining fear of falling detection systems, community walking programs for older women, and the impact of chaotic home environments on emotional perception in autism. He actively contributes to the academic community through committee service on the Applied Psychology Ethics, Research, and Teaching Committees at UCC. His professional affiliations include the Federation of European Neuroscience Societies, American Association for the Advancement of Science, Society for Neuroscience, Neuroscience Ireland, and the Association for Psychological Science. Dr. Chan directs the Acme Lab (www.acmelab.science), which serves as the hub for his research team's investigations into brain-behavior relationships, providing a collaborative environment for advanced neuroimaging studies and perceptual research.

• Wound Care
• Patient Outcomes
• Nursing Education
• +۵ مورد دیگر

Prof Tom O'Connor is a Professor at the Royal College of Surgeons in Ireland (RCSI) within the School of Nursing & Midwifery. With over 20 years of experience, he specializes in wound care, patient outcomes, nursing education, and leadership development. He holds a BSc in Nursing (RCSI, 1999) and an EdD from Keele University (2013). His research focuses on innovative educational strategies, wound healing technologies, and gendered identities in nursing. He has secured grants for projects like Stackable Micro credentials in Nursing Home Management (LHP Skillnet, 2024–2026) and Diabetic Foot Ulcer Treatment (Science Foundation Ireland, 2020). Teaching & Leadership: As Director of Academic Affairs, he oversees educational programs, accreditation, and international collaborations. He has pioneered eLearning initiatives, such as the preceptorship package for nursing education. His teaching spans clinical specialties, leadership, and research methodologies. Grants: Over 13 funded projects, including wound care innovation and nursing education development. Awards: UCD Fellowship in Teaching and Academic Development (2009). Languages: Fluent in Dutch, with peer-review capability. Research Clusters: Health Professions Education, Nursing & Midwifery, and Population Health. His 133+ publications address wound care technologies, patient education, and healthcare leadership. Recent work explores thermal imaging for diabetes-related ulcers and seasonal impacts on fall incidence in older adults.

• Digital Health
• Wound Healing
• Diabetes Care
• +۵ مورد دیگر

Dr. Linda Nugent is a Senior Lecturer and Deputy Director of Nursing and Midwifery Research at RCSI, University of Medicine and Health Sciences. She holds adjunct roles at Fakeeh College for Medical Sciences in Saudi Arabia and serves on the editorial board of Digital Health journal. Her academic journey includes a PhD from the University of Edinburgh and advanced qualifications in nursing education and practice. Dr. Nugent’s research focuses on digital health innovations, wound healing, diabetes care, and the psychological aspects of chronic conditions. She leads initiatives such as eHealth programs for clinician education and patient self-management. Her recent work emphasizes machine learning applications in diabetic foot ulcer prediction and the impact of care bundles on pressure ulcer prevention. Her professional roles include overseeing PhD and professional doctorate programs at RCSI, directing MSc final-year curricula, and managing research ethics. She has secured grants totaling over €2 million for projects like eHealth educational programs for neonatal kangaroo care and fibromyalgia management strategies. Dr. Nugent collaborates internationally, including roles as an external examiner at the University of South Eastern Norway and research leadership in Ireland. Her publications span 87 peer-reviewed articles, with a focus on wound care, diabetes, and technology-enhanced learning. Notable contributions include systematic reviews on pressure ulcer prevention, neonatal care practices, and the psychological experiences of healthcare workers.

• Dementia
• Late-Life Psychiatry
• Geriatric Medicine
• +۵ مورد دیگر

Professor Brian Lawlor is the Conolly Norman Professor of Old Age Psychiatry at Trinity College Dublin (TCD), Deputy Executive Director of the Global Brain Health Institute (GBHI), and Co-Director at the Trinity Institute of Neurosciences (TCIN). His work focuses on dementia, late-life mental health, and brain health interventions. He has led over 30 years of research on dementia services, treatments, and prevention strategies. Affiliations: Trinity College Dublin – Department of Psychiatry Global Brain Health Institute (GBHI) Trinity Institute of Neurosciences (TCIN) Research interests span early dementia detection, late-life depression, and the impact of social factors like loneliness on cognitive decline. His studies frequently address caregiver support, medication effects (e.g., statins, PPIs), and environmental adjustments for dementia patients. He has contributed to multinational trials like SENSE-Cog (hearing/vision interventions) and NILVAD (nilvadipine efficacy). Key themes in his work include neurodegenerative mechanisms, polypharmacy risks, and the interplay between cardiovascular health and cognitive aging. He advocates for equitable dementia care and public awareness.

• Biomedical Engineering
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Eoin Parle is an Assistant Lecturer in the Department of Mechanical & Industrial Engineering at the National University of Ireland Galway (NUI Galway), and serves as Principal Investigator at the Medical and Engineering Technologies Gateway (MET). His research focuses on interdisciplinary topics at the intersection of biomedical engineering, materials science, and mechanical engineering, with a particular emphasis on bone mechanics, biomaterials, and disease-related tissue alterations. Key research areas include fracture mechanics of cortical bone under fall-related stresses, mechanical properties of bioresorbable polymers like PLLA, and dielectric characterization of trabecular bones at microwave frequencies. His work addresses clinical challenges such as osteoporosis, diabetic bone pathology, and estrogen-deficiency-induced bone loss through advanced material analysis and biomechanical modeling. Collaborations span international research groups, and his contributions are reflected in peer-reviewed publications across journals like Journal of the Mechanical Behavior of Biomedical Materials and Medical Engineering and Physics . As a Principal Investigator, he leads projects integrating engineering and medical technologies to advance diagnostic and therapeutic solutions.