جستجوی استاد راهنمای دانشگاهی

Lili Zhangمشاهده پروفایل

استادیار

• Computational Modelling
• Ecological Momentary Assessment
• Human Decision-making
• +۳ مورد دیگر

Dr. Lili Zhang is an Assistant Professor in the School of Computing at Dublin City University, specializing in data analytics and computational modelling of human and machine decision-making. She leads research on developing an open-access 3-D gamification platform for Ecological Momentary Neurocognitive Assessment. Her work also explores using cognitive psychology and game theory to understand and steer Large Language Models (LLMs). She completed her PhD in 2023, focusing on smartphone-based ecological momentary assessment for enhancing phenotyping of human decision-making in clinical settings. She holds an MSc in Instrumental Science and Technology from Harbin Institute of Technology in China. Her research spans Computational Modelling, Ecological Momentary Assessment, Human Decision-making, Machine Behaviour analysis, Large Language Models, and Intelligent Computing. Recent publications focus on optimization algorithms, decision-making modeling, and computational psychiatry applications.

Gerard Marksمشاهده پروفایل

استادیار

• Computing
• Computer Science

Gerard Marks is an Assistant Professor in the School of Computing at Dublin City University's Faculty of Engineering and Computing. Limited additional information is available from provided sources.

Luca Rossettoمشاهده پروفایل

استادیار

• Multimedia Retrieval
• Virtual Reality
• Human-Computer Interaction
• +۲ مورد دیگر

Dr. Luca Rossetto serves as Assistant Professor in the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research focuses on advanced multimedia retrieval systems and interactive technologies. Primary research domains include multimedia information retrieval, virtual reality interfaces, and multimodal systems design. Recent work explores human-computer interaction paradigms for video retrieval systems and knowledge representation frameworks for large-scale multimedia datasets. Publications demonstrate consistent focus on retrieval system architecture and evaluation, with emerging emphasis on VR-based interfaces and multimodal learning techniques. Recent papers frequently address efficiency optimization and user-centered design in complex information systems. No awards or supervised students are documented. Laboratory affiliations include the vitrivr multimedia retrieval engine development team.

Renaat Verbruggenمشاهده پروفایل

استادیار

• Software Testing
• Privacy
• Ethics in Computing
• +۱ مورد دیگر

Renaat Verbruggen is an Assistant Professor at Dublin City University's School of Computing within the Faculty of Engineering and Computing. He specializes in software engineering with research interests spanning software testing methodologies, privacy frameworks, and ethical considerations in computing systems. His academic background includes a B.Comm, Master in Management Science from UCD, and a Master in Applied Information Systems from Katholieke Universiteit Leuven. Verbruggen teaches courses like Professional and Research Practice (CA640), Systems Analysis (CA214), and Software Process Quality (CA650), emphasizing SSADM, UML, and Agile approaches. His industry collaborations include action-research projects with Microsoft, Ericsson, and other multinationals focusing on software metrics, object-oriented testing, and legacy system integration. Through publications examining rapid application development, security testing, and dementia-related assistive technologies, his work bridges academic research and practical industry solutions. Verbruggen maintains active engagement in software engineering communities through lectures and workshops.

• Artificial Intelligence
• Big Data
• Internet of Things
• +۳ مورد دیگر

Ray Walshe is an Assistant Professor at the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research focuses on standardization frameworks for emerging technologies including Artificial Intelligence, Big Data, IoT, and Cloud Computing. He holds leadership roles in international standards bodies including ISO/IEC JTC1 SC42 (AI), Big Data Value Association, and United Nations standards groups. Dr. Walshe's research examines the circular relationship between innovation, disruption, and standardization across digital domains. Key interests include developing reference architectures for big data systems, ethical AI implementation, and leveraging technology for sustainable development goals. His work connects technical specifications with policy frameworks and global governance. Through projects funded by SFI, EI, EU FP7 and Horizon 2020, he explores applications of cloud infrastructure, data analytics pipelines, and IoT ecosystems. Recent publications demonstrate a strong focus on ICT standardization landscapes, QoE-driven network resource management, and blockchain-enabled decentralized science models. As Digital Leader for the World Economic Forum and expert for multiple international organizations, Dr. Walshe contributes to technology policy development while maintaining active research in biocomputation, bioinformatics, and agent-based simulation systems.

• Plasma Science
• Plasma Dynamics
• Chemical Kinetics
• +۶ مورد دیگر

Prof Timo Gans is a Full Professor and Head of the School of Physical Sciences at Dublin City University (DCU), serving concurrently as Associate Dean for Research in the Faculty of Science & Health. He also holds a position at the National Centre for Plasma Science & Technology. Prior roles include Full Professor at the University of York (UK), Queen’s University Belfast (UK), and Ruhr-University Bochum (Germany). He earned his PhD in Physics from the University of Essen (Germany) in 2001. His research focuses on controlling plasma dynamics and chemical kinetics for innovative plasma technologies. Key interests include plasma diagnostics (particularly laser-based techniques), multi-scale computational modeling, low-temperature plasmas, plasma chemistry, and green chemistry solutions using plasmas. His work emphasizes applications in atmospheric pressure plasmas, plasma processing, and plasma monitoring. Prof Gans has received prestigious awards, including the IoP Hershkowitz Award, IUPAP Young Scientist Award, and Hans-Werner-Osthoff Award. He chairs the British Vacuum Council (2021–2024) and serves as Councillor for the International Union of Vacuum Science and Technology (IUVSTA), representing the UK and Ireland since 2016. His recent publications explore plasma-material interactions, reactive species production, and energy-efficient CO₂ conversion. He leads collaborative efforts to standardize plasma research and advance plasma-based technologies for biomedical and environmental applications.

• Astrophysics
• High-Performance Computing
• Observational Astronomy
• +۵ مورد دیگر

Dr. Oisin Creaner is an Assistant Professor in the School of Physical Sciences at Dublin City University. His research focuses on interdisciplinary applications of high-performance computing to astrophysical data challenges, including observational astronomy across radio, visible, and high-energy particle domains. He leads projects in exoplanet observation strategies, from citizen science initiatives like Exoplanet Watch to advanced ground-based and satellite observatories. His work also involves developing novel detector technologies like microwave kinetic inductance detectors (MKIDs) and optimizing algorithms for large-scale astronomical data analysis. Key technical contributions include the Locus Algorithm , a grid computing system for optimizing differential photometry fields, and advancements in MKID sensor design. He collaborates on major experiments such as the LUX-ZEPLIN dark matter detector and contributes to the automation of astronomical simulation frameworks like Opticks. Dr. Creaner's research integrates machine learning for data imbalance solutions, human-computer collaboration in citizen science, and precision instrumentation for astrophysical measurements. His professional affiliations include roles at DCU's Glasnevin Campus , where he is based in Room N106. He actively publishes on topics ranging from detector material science to dark matter detection methodologies, emphasizing both theoretical and applied aspects of modern astrophysics. No academic awards or grants are explicitly listed in available records.

• Graphene
• Two-dimensional materials
• Spintronics
• +۵ مورد دیگر

Dr. Stephen Power is an Assistant Professor in the School of Physical Sciences at Dublin City University (DCU). He contributes to the Physics with Data Analytics programme under DCU Futures Initiative, focusing on theoretical condensed matter physics. His research emphasizes electronic, spin, and valley properties of two-dimensional materials and heterostructures. Before joining DCU in 2021, he earned a Ph.D. in Physics from Trinity College Dublin (TCD) in 2012 and held roles as a researcher and lecturer in Denmark, Spain, and Ireland. Education: Ph.D. in Physics (2012), Trinity College Dublin Research Interests: Graphene and two-dimensional materials Spintronics and valleytronics Quantum electronics and transport Computational physics Machine learning applications in materials science Publications: Recent work includes studies on graphene nanoribbons, heterostructure interfaces, strain effects in bilayer graphene, and neural network-based predictions of magnetic behavior. His research bridges theoretical modeling and experimental observations in nanoscale systems. Awards/Grants: No specific awards or grants mentioned in the provided texts. Lab/Teams: Involved in DCU’s School of Physical Sciences labs focusing on theoretical condensed matter physics and nanomaterials.

• Plasma Physics
• Fusion Energy
• Low-Temperature Plasma Science
• +۴ مورد دیگر

Prof. Miles Turner is a Full Professor at the School of Physical Sciences, Dublin City University (DCU). He holds roles such as Director of the National Centre for Plasma Science and Technology (2004–2020) and Head of the EURATOM-DCU Research Unit. His academic journey includes degrees from Imperial College London (B.Sc., 1986) and St Andrews University (Ph.D., 1990). His research focuses on plasma physics, with expertise in excimer lasers, plasma processing, and fusion energy. Notable contributions include modeling capacitive discharges, multi-frequency excitation effects, and plasma-wall interactions in fusion reactors like JET. He is a Royal Irish Academy member and a Fellow of the Institute of Physics. Education: B.Sc. Physics (First Class Honours), Imperial College London (1986) Ph.D., St Andrews University (1990), thesis on excimer laser kinetics Research Interests: Plasma kinetics and modeling in low-pressure environments Applications of plasma discharges in fusion energy and material processing Multi-frequency excitation effects in capacitive discharges Control algorithms for plasma systems Awards and Roles: Member of the Royal Irish Academy Fellow of the Institute of Physics Chartered Scientist Visiting Professorships at UC Berkeley, Flinders University, and others Labs & Collaborations: Director, National Centre for Plasma Science and Technology Lead at EURATOM-DCU Fusion Research Unit

• Plasma Physics
• Atomic Oxygen Measurement
• Semiconductor Etching
• +۳ مورد دیگر

Dr. Cezar Gaman is a Senior Researcher at the School of Physical Sciences, Dublin City University. His work focuses on plasma diagnostics and control systems, with applications in semiconductor processing and nanomaterial synthesis. Research Interests: Specializing in plasma physics, Gaman's research spans atomic oxygen measurement in atmospheric pressure plasmas, real-time control of electron density in capacitively coupled systems, and dual-frequency plasma etching for silicon processing. He also investigates pulsed-plasma synthesis of graphene and its biomedical applications. Publication Trends: Recent works emphasize advanced diagnostics (laser-induced fluorescence, hairpin probes), plasma control methodologies (PI controllers, feedback loops), and scalable electrode systems for large-area plasma processing. His studies often bridge theoretical modeling (particle-in-cell simulations) with experimental validation. Contact: Email cezar.gaman@dcu.ie for collaboration opportunities in plasma engineering and materials science.

• Climate Change Mitigation
• Carbon Budgeting
• Negative Emissions Technologies
• +۴ مورد دیگر

Prof Barry McMullin is a Full Professor in the School of Electronic Engineering at Dublin City University (DCU). His work spans climate change mitigation strategies, carbon budgeting frameworks, and negative emissions technologies. He has contributed to policy analyses assessing national contributions to global climate goals, particularly focusing on Ireland's role in achieving 1.5°C targets. Earlier research explored artificial life systems, computational autopoiesis, and bio-inspired computing. Research interests include integrating multi-gas mitigation strategies, societal-level climate scenarios, and the ethical implications of climate policy. His work on carbon dioxide removal (CDR) technologies and net-negative emissions pathways has informed national and OECD-level policy discussions. He has also published extensively on autopoietic systems and the evolution of self-replicating machines in computational models. Prof McMullin’s recent publications emphasize the critical need for methane mitigation in agriculture and the limitations of relying on uncertain CDR methods. His interdisciplinary approach bridges environmental science, policy analysis, and computational systems, aiming to develop equitable solutions for climate change challenges.

Derek Molloyمشاهده پروفایل

استاد

• Embedded Systems
• Computer & Machine Vision
• 3D Graphics & Visualisation
• +۵ مورد دیگر

Dr. Derek Molloy is a Professor in the School of Electronic Engineering at Dublin City University , part of the Faculty of Engineering & Computing. He specializes in Embedded Systems, Machine Vision, and e-Learning. His work includes pioneering textbooks on Raspberry Pi and BeagleBone, with over 200,000 copies in circulation globally. He has been a Technical Assessor for IDA and Enterprise Ireland since 1999. Education B.Eng. (Hons) in Electronic Engineering, Dublin City University (scholarship recipient from Amdahl Corporation) Ph.D. in 'Motion Analysis using Active-Meshes' (2000) Research & Innovation His research focuses on Embedded Systems for IoT , 3D Visualization , and e-Learning technologies . He leads the CIPA research group and contributes to the National Biophotonics & Imaging Platform Ireland (NBIPI). His YouTube channel and blog have reached millions, demystifying embedded Linux and electronics. Awards I.E.E. Young Paper Award (1994) Finalist in I.E.I. Student Paper Competition (1994) Advising & Grants Supervises 8 Ph.D./M.Eng. students and serves as a Technical Assessor for R&D funding applications. Active in academic governance, including roles on the University Budget Committee and the Academic Framework for Innovation (AFI). Labs & Teams Key member of the Centre for Image Processing & Analysis (CIPA) and National Biophotonics & Imaging Platform Ireland (NBIPI) .

• Plasma Science and Technology
• Semiconductor Engineering
• Biomedical Engineering
• +۳ مورد دیگر

Professor Stephen Daniels is a faculty member in the School of Electronic Engineering at Dublin City University, part of the Faculty of Engineering and Computing. He holds roles as Director of the Cyber-physical Systems Laboratory and co-Director of the nanomaterials processing laboratory. His research focuses on plasma science applications, including gaseous plasma technology for semiconductor and biomedical devices, atmospheric pressure plasmas for decontamination in clinical and food processing contexts, and energy systems engineering. He is a Principal Investigator at the National Centre for Plasma Science and Technology and the AMBER SFI Centre for Advanced Materials and Bioengineering Research. Recent work explores cyber-physical systems for remote environmental monitoring and control. His technical expertise spans plasma reactor design, plasma-surface interactions, and energy efficiency analysis. While no specific awards or grants are detailed, his leadership in interdisciplinary research centers underscores his contributions to advanced materials and bioengineering fields.

Mingming Liuمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Reinforcement Learning
• +۳ مورد دیگر

Dr. Mingming Liu is a tenured Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). Prior to this, he served as a data scientist, applied researcher, and H2020 project lead (5G-Solutions) at IBM Ireland Lab, focusing on machine learning and optimization for industrial challenges. Earlier, he held postdoctoral roles at University College Dublin (UCD) within the Control Engineering and Decision Science Research Group, contributing to EU and SFI-funded projects like Green Transportation and Networks (SFI) and Enable-S3 (H2020). His work emphasizes collaborations with academia and industry. Research interests include Machine Learning, Deep Learning, Reinforcement Learning, Federated Learning, Data Science, and Distributed Control, among others. He has applied these methodologies to IoT, Edge/Fog/Cloud Computing, Smart Cities, and Smart Healthcare. His contributions span mathematical modeling, optimization, and systems engineering. Notable projects include leadership in the EU-funded 5G-Solutions and contributions to Green Transportation and Enable-S3. His research bridges theoretical advancements with practical industry applications, particularly in smart infrastructure and transportation systems.

Robert Sadleirمشاهده پروفایل

استادیار

• Biomedical Image Analysis
• Medical Informatics
• 3D Computer Graphics
• +۳ مورد دیگر

Dr. Robert Sadleir is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU), where he has been employed since 2000. He holds BEng and PhD degrees in Electronic Engineering from DCU. His work spans research, teaching, and administrative roles, including chairing DCU's BEng in Electronic and Computer Engineering. Education: BEng in Electronic Engineering, DCU PhD in Electronic Engineering, DCU Research Interests: Dr. Sadleir focuses on biomedical image analysis, medical informatics, and 3D computer graphics with applications in biomedicine. His work includes developing tools for CT colonography, medical image compression, and remote diagnostic systems. Publications & Awards: He has authored over 40 peer-reviewed papers, co-edited four books, and received Best Presentation Prizes. His research has been presented at conferences like IEEE-EMBS and IET. Affiliations: Member of IEEE, IAPR, IPRCS, and the IEEE Engineering in Medicine and Biology Society (EMBS).