جستجوی استاد راهنمای دانشگاهی

David Lillisمشاهده پروفایل

دانشیار

• Natural Language Processing
• Artificial Intelligence
• Digital Forensics
• +۴ مورد دیگر

David Lillis is an Associate Professor in the School of Computer Science at University College Dublin (UCD). His research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), and their applications in legal and forensic contexts. He leads projects like CeADAR (Ireland’s Applied AI Center) and the Transpire project, collaborating with organizations such as Corlytics and the Department of Enterprise, Trade and Employment. He holds adjunct roles as a Guest Professor at Beijing University of Technology’s Data Mining and Security Lab and has been a Fulbright Scholar at the University of New Haven’s Cyber Forensics Research and Education Group. Education: B.A. (Hons) in Law and Accounting, University of Limerick Higher Diploma in Computer Science, UCD M.Sc., Ph.D. in Computer Science, UCD Professional Certificate in University Teaching & Learning, UCD Research Interests: Legal AI, digital forensics, machine learning, multi-agent systems, and information retrieval. Recent work includes NLP for regulatory analysis, crop yield prediction via neural networks, and AR-driven decision support systems. Grants & Projects: Principal Investigator: Transpire (AI Platform for Regulation) SFI Funded Investigator: CONSUS (Crop Optimization) PI: CeADAR Technology Centre Teaching roles include Deputy Programme Director for Software Engineering at Beijing-Dublin International College (BDIC) since 2014. Labs & Groups: UCD Forensics and Security Research Group, ML-Labs (SFI Centre for ML Training), and the Data Mining and Security Lab (BJUT).

Lucy Hedermanمشاهده پروفایل

دانشیار

• Health Informatics
• Clinical Decision Support Systems
• Healthcare Data Integration
• +۳ مورد دیگر

Dr. Lucy Hederman is an Associate Professor in Computer Science at Trinity College Dublin (TCD), affiliated with the O'Reilly Institute. Her research focuses on leveraging data and documents to support clinical decision-making, particularly in healthcare knowledge work. She has led interdisciplinary projects addressing data integration for rare diseases (e.g., ANCA-vasculitis, MND) and socio-technical challenges in adopting patient-generated health data (PGHD) into clinical practice. Dr. Hederman has secured over €xxxk in research funding and leads the Heterogeneity and Interoperability (H&I) challenge in the SFI-funded ADAPT 2 Centre. Her educational background includes advanced studies in computer science and healthcare informatics, though specific degree details are not explicitly stated in the text. She has supervised 4 PhDs, 2 research MScs, and co-supervised 6 PhDs, while currently mentoring 8 graduate students. Her career includes founding TCD spinouts PBOC and BIOLOGIT, which align with her research in health informatics and technology. Key research interests include: Interdisciplinary collaboration between clinicians, researchers, and technologists Data harmonization for multi-national clinical studies (e.g., FAIRVASC, Precision-ALS) Development of clinical decision support systems (CDSS) Design of mobile health (mHealth) tools for underserved populations Recent work emphasizes FAIR principles for healthcare data and socio-technical factors influencing PGHD adoption. She has contributed to over 70 peer-reviewed publications and actively participates in initiatives like the EU-funded TRANSFORM project and HRB Primary Care Research Centre. Dr. Hederman’s professional memberships include the Irish Computer Society, ACM, and Healthcare Informatics Society of Ireland. Her research has impacted healthcare practices in Ireland, with many MSc student projects influencing local health services.

Vivek Nallurمشاهده پروفایل

استادیار

• Machine Ethics
• Multi-Agent Systems
• Complex Systems
• +۵ مورد دیگر

Dr. Vivek Nallur is an Assistant Professor in the School of Computer Science at University College Dublin. His research focuses on Machine Ethics, Multi-Agent Systems, emergence in socio-technical systems, and decentralized adaptation mechanisms. He holds a PhD from the University of Birmingham and advanced certifications in university teaching from UCD. Education: BBS, Delhi University Post-Graduate Diploma in Advanced Software Technology, National Centre for Software Technology MS, Carnegie Mellon University PhD, University of Birmingham Prof Cert University Teaching & Learning, University College Dublin Research Interests: Machine Ethics explores ethical decision-making in autonomous systems, while Multi-Agent Systems (MAS) are his primary tool for studying self-adaptation and emergence. He serves on key committees like IEEE P7008 (Ethically Driven Nudging) and the AAAI 2021 Spring Symposium on AI Ethics. His work bridges computer science with philosophy, law, and social sciences. Advising & Grants: Supervises three PhD students focusing on ethical AI, elder-care robotics, and AI governance. Leads the Machine Ethics Research Group and participates in the ML-Labs SFI grant (2019–2027). Professional Roles: Senior Member of IEEE, organizer for AAAI ethics symposia, and contributor to OpenAAL's ELSI panel. Teaches modules on Machine Learning, Operating Systems, and Web Development.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

Annette Byrneمشاهده پروفایل

استاد

• Precision Medicine
• Molecular Imaging
• Angiogenesis
• +۷ مورد دیگر

Professor Annette Byrne is a leading academic at RCSI University of Medicine and Health Sciences , where she serves as Professor of Physiology and Head of the Precision Cancer Medicine (PCM) Group. She has held this position since 2019 after progressing through roles as Lecturer (2008), Senior Lecturer (2013), and Associate Professor (2017). Her research focuses on precision medicine approaches for colorectal and brain cancers , integrating multi-modality molecular imaging , Next Generation Sequencing , and patient-derived xenograft models . PhD in Cell Biology (University of York, 1999) John Kerner Fellowship in Gynaecologic Oncology (UCSF, 1999-2001) Scientist at Pharmacyclics Inc. (2001-2003) Senior Scientist at Angion Biomedica Corp. (2003-2005) Principal Investigator at UCD Conway Institute (2005-2008) Her research interest lies in precision cancer medicine , particularly elucidating predictive biomarkers (genomic, transcriptomic, proteomic) and identifying novel therapeutic targets . Key methodologies include radiomics , fluorescence-guided surgery , and systems modeling of apoptosis pathways. She has pioneered Ireland's first Tumour Xenograft Facility and Translational In Vivo Imaging Centre . Recent publications highlight her work on cross-species radiomics , cell-free DNA analysis , and glioblastoma microenvironment subtyping . Her Marie Curie networks (Gliotrain, Glioresolve) and COLOSSUS project have trained 25+ PhD researchers in brain cancer therapeutics. Over €45M in national/international grants Member of Royal Irish Academy (2025) Highly cited in Cancer Discovery , Annals of Oncology , and Nature journals She supervises multiple PhD candidates and leads the RCSI Precision Cancer Medicine Group , which utilizes computational approaches and molecular imaging to improve cancer treatment outcomes. Her GLIORESOLVE and EDIReX projects focus on tumor microenvironment manipulation and distributed PDX infrastructure.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +۳ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

Laura Mayeمشاهده پروفایل

مدرس

• Interactive Media
• Human-Computer Interaction

Dr. Laura Maye is a Lecturer at the School of Computer Science and Information Technology, University College Cork. Her research specializes in Interactive Media and Human-Computer Interaction (HCI), focusing on participatory design methods and immersive technologies. Key research interests include virtual reality applications, co-design methodologies for cultural heritage, community-centered technology development, and sensory interaction studies. Her work emphasizes inclusive design and socio-ecological relationships in technology. Recent publications (2020-2025) demonstrate strong trends in VR-based sensory studies, community radio innovations, and rehabilitation technology. Articles frequently employ mixed-methods approaches and highlight cross-modal perception, participatory frameworks, and rural HCI challenges.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۴ مورد دیگر

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۶ مورد دیگر

Abey Campbell is an Assistant Professor in Computer Science at the School of Computer Science, University College Dublin. He holds roles such as Deputy Programme Director for Computer Science, Director of UCD VR Lab, and 1st Year Stage Coordinator. His research focuses on Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Multi-Agent Systems with applications in education, healthcare, and human-computer interaction. Campbell has coordinated modules like Augmented and Virtual Reality, Computer Graphics, Game Development, and Mobile Computing. He earned his BSc and PhD in Computer Science from University College Dublin. His work explores touchless interaction technologies, machine learning agents in STEM education, and ethical implications of emerging technologies. Notable contributions include RenderKernel for real-time rendering systems and studies on AR's role in decision support systems. Campbell has secured a grant from Enterprise Ireland for collaborative design documentation and participates in professional activities like peer reviewing for Frontiers in Virtual Reality and IEEE conferences. His collaborative projects include developing AR tools for veterinary training and evaluating immersive VR experiences in nursing education. The UCD VR Lab under his direction focuses on applied research in spatial computing and interactive systems.

• Bioinorganic Chemistry
• Medicinal Chemistry
• Cancer Therapeutics
• +۴ مورد دیگر

Professor Celine J. Marmion is a distinguished academic at the Royal College of Surgeons in Ireland (RCSI), where she serves as Professor of Bioinorganic Chemistry in the Department of Chemistry within the Faculty of Medicine & Health Sciences. She currently holds the position of Deputy Dean for Student Engagement. With over two decades of experience at RCSI, Professor Marmion has established herself as a leading researcher in medicinal chemistry and bioinorganic chemistry, with particular expertise in developing metal-based anticancer therapeutics. Professor Marmion received her academic training at the University of Surrey, where she earned her BSc(Hons) in Chemistry & Biology in 1990, followed by a PhD in Bioinorganic Chemistry in 1994. Her doctoral research focused on vanadium complexes in relation to nitrogen fixation under the supervision of Professor Lesley Larkworthy. She subsequently completed a Postgraduate Certificate in Education (PGCE) from the University of Kingston in the UK in 1996-1997. Professor Marmion has a passion for bridging the interface between medicinal chemistry and biology. Her research primarily focuses on the role of hydroxamic acids in chemistry and biology, the structural diversity and biomedical applications of metal complexes, and the synthesis and pharmacological evaluation of innovative, multi-functional metallodrug candidates as anti-cancer therapeutics. She has made significant contributions to the development of platinum and copper-based anticancer agents, histone deacetylase inhibitors, and metallo-antibiotics designed to overcome antimicrobial resistance. Professor Marmion's extensive publication record demonstrates a clear trajectory toward multi-targeted metallodrug development. Her recent work shows increasing sophistication in designing compounds that simultaneously address multiple cancer pathways while overcoming drug resistance mechanisms. A notable trend is the integration of clinically approved drugs with metal complexes to create dual-functioning therapeutics with enhanced efficacy. Her research spans from fundamental coordination chemistry to translational studies with promising in vitro and in vivo results. Professor Marmion's contributions to academia and research have been widely recognized: RCSI Dean's Academic Award for 'Endeavour, Innovation, Collaboration and Service' (2016) Fellow of the Royal Society of Chemistry (2013) Fellow of the Institute of Chemistry of Ireland (2015) Vice-President (2017) and President (2019) of the Institute of Chemistry of Ireland President of the Irish Biological Inorganic Chemistry Society (2018) RCSI Innovation Award for research commercialization (2016) National 'Teaching Hero' Award (2016) RCSI President's Teaching Award (2009, 2015) Professor Marmion has supervised numerous PhD students in Pharmaceutical & Medicinal Chemistry through the RCSI Apjohn scholarship program. She has secured significant research funding, including five Science Foundation Ireland grants and multiple Enterprise Ireland awards. Her research projects span from fundamental studies on metal complex chemistry to translational research focused on developing novel anticancer and antimicrobial metallodrugs. Notable projects include 'Breaking the cancer drug resistance paradigm' (SFI, 2018) and 'Platinum(IV) Prodrugs for Precision Cancer Therapy' (Enterprise Ireland, 2019). Professor Marmion leads a vibrant research group focused on developing innovative metallodrugs for cancer therapy. She has established fruitful collaborations with DCU (particularly with Dr. Kellett), French pharmaceutical companies, and international partners through COST Actions. Her research team combines expertise in synthetic chemistry, pharmacology, molecular biology, and drug development to create next-generation metal-based therapeutics that address the limitations of current clinical agents.

• Supramolecular Chemistry
• Lanthanide Luminescence
• Coordination Chemistry
• +۷ مورد دیگر

Thorfinnur Gunnlaugsson is a Professor of Chemistry at the School of Chemistry, Trinity College Dublin (TCD), and also affiliated with CRANN, the Centre for Research on Adaptive Nanostructures and Nanodevices. He holds a personal chair in Chemistry and has been a key figure in advancing supramolecular and photochemical research at TCD since his appointment in 1998. His research interests lie at the intersection of supramolecular chemistry, lanthanide luminescence, fluorescent sensors, and bioimaging . He is particularly known for his work on naphthalimide-based chemosensors, btp (2,6-bis(1,2,3-triazol-4-yl)pyridine) ligands, and lanthanide-directed self-assembly systems. His group designs luminescent materials for applications in disease diagnosis, cellular imaging, and sensing of biologically relevant ions and molecules. The research spans organic synthesis, coordination chemistry, photophysics, and materials science, with strong translational potential in medicine and environmental monitoring. His recent publications (2022–2024) reveal a consistent focus on functional supramolecular materials , including AIE nanoparticles, luminescent hydrogels, helicates, and polymers. These works frequently involve time-resolved imaging, PET-based probes, and lanthanide-based sensors , published in high-impact journals such as Chem , Advanced Science , and Chemical Reviews . The articles highlight trends in multi-functional, stimuli-responsive systems for biological and environmental applications. While no specific scientific awards are listed in the text, his extensive publication record, visiting professorships (e.g., Deakin University, CNRS Bordeaux), and leadership in the field indicate significant recognition. Gunnlaugsson has advised numerous researchers, including June I. Lovitt, Tumpa Gorai, Oxana Kotova, Jason M. Delente, Chris S. Hawes, and Sankarasekaran Shanmugaraju , among others. His collaborative network is broad, often involving interdisciplinary teams in chemistry, biology, and materials science. He has secured research funding supporting these activities, though specific grants are not detailed in the provided text. He leads a vibrant research group within the Department of Chemistry at TCD, contributing to the CRANN institute’s mission in nanoscience and advanced materials. His lab focuses on the design, synthesis, and characterization of smart luminescent systems with applications in diagnostics and therapeutics.

• Software Engineering
• Smart Cities
• Internet of Things
• +۴ مورد دیگر

Siobhán Clarke is a Professor at the School of Computer Science and Statistics, Trinity College Dublin, specializing in software systems for smart urban environments . Her work addresses dynamic software adaptation in large-scale, mobile IoT ecosystems , with a focus on QoS optimization and collaborative agent models . Director, Enable : National SFI IoT Research Programme Director, Future Cities Centre for Smart & Sustainable Cities Co-Lead, ADVANCE : SFI Centre for Advanced Networks Co-PI, CONNECT (Future Networks) and Lero (Software Research) Her research spans smart city infrastructure , edge computing , and multi-agent coordination , informed by 15+ years of publications on service-oriented architectures , QoS prediction , and self-adaptive systems . Key project contributions include DIVERSIFY (2016) and TRANSFoRm (2015). Scientific awards include election to the Royal Irish Academy (2023) and a Best Student Paper at IEEE ICWS 2011. She has supervised 20+ PhD/MSc students, including Fan Li (2020: SLA Negotiation Systems), Gary White (2020: IoT QoS Forecasting), and Andrei Palade (2019: Stigmergic Optimization).

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +۷ مورد دیگر

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

Venkata Virajit Garbhapuمشاهده پروفایل

پژوهشگر ارشد

• Optical Communications
• Network Optimization
• Artificial Intelligence in Networking
• +۴ مورد دیگر

Venkata Virajit Garbhapu (Viru) is a Research Fellow at the CONNECT Centre, Trinity College Dublin, specializing in optical networks with emphasis on physical layer optimization and cross-layer integration. Education: PhD, Institut Polytechnique de Paris (CIFRE scholar with Huawei) Laura Magistrale, Politecnico Di Milano His research focuses on maximizing network capabilities through physical layer impairment-aware frameworks, demonstrated by 52.8% training time reduction in distributed AI systems using 800G DCI links and superior failure recovery via optical circuit switching. Key contributions include per-channel power allocation algorithms balancing linear/nonlinear impairments and feasible C-band integration of classical/QKD signals through Raman noise-aware wavelength allocation. His work centers on developing sophisticated simulators enabling cross-layer optimization for functionalities like QKD and packet switching. Analysis of his 2019-2025 publications reveals a dominant trend toward AI-driven network automation, with increasing emphasis on digital twins and large language models for lifecycle management, alongside quantum-classical signal coexistence. The research consistently bridges theoretical algorithms with experimental demonstrations, showing progression from transfer learning for failure detection to advanced AI/quantum integration. No scientific awards were mentioned in available sources. His PhD was supported by a CIFRE industrial scholarship with Huawei, and he participated in the European QSNP project. No student advisement details are provided, though his BONSAI research addressed optical network failure management using transfer learning to overcome data scarcity. He operates within the CONNECT Centre ecosystem at Trinity College Dublin while maintaining active collaboration with Huawei Paris Research Center, reflecting strong industry-academia integration in optical communications research.

Hisain Elshaafiمشاهده پروفایل

مدرس

• ICT Security
• Privacy and Trust
• Service Composition
• +۴ مورد دیگر

Hisain Elshaafi is a Lecturer in the Department of Computing at SETU Carlow. His research focuses on ICT security, privacy, trust, and service composition. He holds a PhD from Waterford Institute of Technology (WIT) and has contributed to EU-funded projects like sTRUST and CoMiFin. His work emphasizes composite service trustworthiness, security metrics, and critical infrastructure protection. Education: PhD: 'Establishment and Maintenance of Trustworthy Composite Services', WIT (2014) MSc: Master of Arts in Teaching and Learning, WIT (2020) BSc: Computer Science (Honours), Dublin Institute of Technology Research Interests: Elshaafi investigates secure service composition, attack surface analysis, smart grid cybersecurity, and trustworthiness metrics. His projects address challenges in distributed systems reliability, multi-tenant service trust, and cost-effective security frameworks. Recent work explores multi-agent smart grid architectures and collaborative trust assessment. Projects & Grants: Lead roles in Irish/EU projects: sTRUST, CoMiFin, Pripare, Aniketos Consultancy for SMEs and enterprises Focus on bridging academic research with industry needs Labs/Teams: Collaborates with WIT's TSSG and contributes to multi-institutional projects focused on trust management and service-oriented systems.