جست‌وجوی استاد و پژوهشگر

Chris Bleakleyمشاهده پروفایل

استاد

• Pervasive Computing
• Indoor Positioning Systems
• Networked Embedded Systems
• +۳ مورد دیگر

Chris Bleakley is a Professor at the School of Computer Science, University College Dublin (UCD). His research focuses on pervasive computing, indoor positioning systems, and networked embedded systems. He has secured over €2 million in research funding as PI, supervised 12 PhD and 4 MSc students, and authored 1 book and numerous journal/conference papers. Prior to UCD, he held roles as VP Engineering at Massana Ltd, Senior Researcher at Broadcom Eireann, and IT consultant with Accenture. He holds a PhD in Electronic Engineering from Dublin City University and a BSc in Computer Science from Queen's University Belfast. Professional Roles: Associate Editor of Electronics Letters, Senior IEEE Member, ACM Member. Former Head of School of Computer Science at UCD (2019–2022). Research Interests: Indoor positioning (ultrasonic/WiFi), embedded systems, sensor networks, and algorithmic history. Key applications include smart agriculture, biomedical devices, and environmental monitoring. Grants: Includes projects like WiPhyLoc8 (WiFi positioning), EEDSP (embedded health systems), and MobiFit (sports monitoring). Over 18 grants secured between 2004–2022. Education: PhD (1995, DCU), BSc (1st class, Queen's University Belfast). Notable Work: Developed high-accuracy indoor positioning systems using ultrasonic and WiFi technologies. Authored Poems That Solve Puzzles , a popular science book on algorithm history.

Geoff Hamiltonمشاهده پروفایل

دانشیار

• Program Transformation
• Automated Theorem Proving
• Formal Verification
• +۳ مورد دیگر

Dr. Geoff Hamilton is Associate Professor at Dublin City University's School of Computing. His research develops program transformation hierarchies for applications in theorem proving, verification, optimization, and energy-efficient computing. The distillation algorithm—a key contribution—achieves orders-of-magnitude efficiency gains over standard techniques. Work spans automated verification tools, termination provers, security protocol analyzers, and complexity bounds calculators. Recent publications focus on side-channel attacks, concurrency optimization, and tight complexity bounds for loop programs. Teaching includes comparative programming languages, cryptography, and formal methods. Research consistently advances transformation-based approaches for parallelization, verification, and resource analysis. Current directions include smart contract verification and energy-aware program optimization methodologies.

Tiziana Margariaمشاهده پروفایل

استاد

• Model-Driven Development
• Artificial Intelligence
• Formal Verification
• +۷ مورد دیگر

Professor Tiziana Margaria is a faculty member at the Department of Computer Science & Information Systems at the University of Limerick. She is affiliated with multiple research centers, including Lero – the Irish Software Research Centre, the Centre for Research Training in Foundations of Data Science, and the Limerick Digital Cancer Research Centre. Academic focus on Model-Driven Development, Artificial Intelligence in Healthcare, and Formal Verification 2023 recipient of the University of Limerick Team Teaching Award Active in interdisciplinary collaborations bridging Computer Science with Digital Humanities and Healthcare Develops low-code/no-code platforms for medical data analysis and smart manufacturing Her research spans AI governance , blockchain-based privacy systems , digital twins for cyber-physical systems , and education-focused software tools . Recent projects include interoperability frameworks for healthcare data and extreme model-driven approaches for historical data transcription. Notable scientific contributions include: 2025: Review on AI-driven healthcare system design 2024: Formal methods in AI validation 2022: Edge analytics in smart manufacturing 2020: Blockchain for medical privacy Her work emphasizes practical implementation of theoretical concepts through tools like Cinco de Bio and MazeGen. She actively promotes collaboration between technical and domain-specific teams in Industry 4.0 contexts.

• Biomedical Signal Processing
• Machine Learning
• Neonatal EEG Analysis
• +۵ مورد دیگر

William Marnane is a Professor of Electrical and Electronic Engineering at University College Cork (UCC). He holds a B.E. from UCC (1984) and a D.Phil. from the University of Oxford (1989). His career includes roles as Lecturer (1989), Senior Lecturer (1999), Dean of Graduate Studies (2013–2016), and Head of the School of Engineering (2016–2019). He has led major research initiatives, including the SFI-funded INFANT Centre and the Claude Shannon Institute. His research focuses on biomedical signal processing, machine learning, and neonatal EEG analysis, with notable contributions to neonatal seizure detection algorithms and fetal health monitoring. He has been awarded the Giner de Los Ríos Visiting Research Fellowship (2007, 2020) and leads projects funded by Wellcome Trust, Science Foundation Ireland, and EU grants. His educational background includes significant contributions to curriculum development and graduate training in engineering and biomedical sciences. He has supervised numerous research projects, including advancements in cryptographic hardware, embedded systems, and low-power signal processing architectures. Research highlights include the ANSeR neonatal seizure detection algorithm (Wellcome Trust-funded), clinical trials on EEG-based seizure recognition, and development of secure TLS coprocessors. He has published over 200 peer-reviewed articles, with key contributions in neonatal EEG analysis, machine learning applications in healthcare, and cryptographic processor design. Current research explores AI for fetal heart rate monitoring and wearable health technologies. Grants and partnerships include leadership roles in EU-funded projects, SFI Strategic Research Clusters, and industry collaborations. He co-directs the INFANT Centre, bridging engineering, medicine, and data science for translational research in neonatal care.

• Educational Technology
• Digital Humanities
• Interaction Design
• +۵ مورد دیگر

Dr. John G. Keating is an Associate Professor in the Department of Computer Science at Maynooth University and serves as the Associate Dean for Teaching and Learning in the Faculty of Science & Engineering. He holds a PhD in Atmospheric Physics (1990) and an EdD in Science Learning and Applied Linguistics (2014). His research interests span Educational Technology, Digital Humanities, Interaction Design, and Linguistic Analytical Methods, with a focus on Collaborative Learning and Science Learning in online environments. He has led numerous funded projects, including work on collaborative annotation tools, digital humanities archives, and adaptive learning environments. Notable awards include the Maynooth University Teaching Fellowship and IBM Faculty Fellow recognition. Education: PhD in Atmospheric Physics (Maynooth University, 1990), EdD in Science Learning (Open University, 2014), MEd (2006). Key Projects: Development of collaborative annotation software, digital humanities platforms (e.g., Irish in Europe Project), and tools for systemic functional linguistic analysis. Grants: Over €6 million in funding from bodies like IRCHSS, Intel Ireland, and the EU for projects in digital humanities and educational technology. Awards: Maynooth University Teaching Fellowship (2019-20), IBM Faculty Fellow (2004-6), EPSRC Visiting Fellow (1994-6). Labs/Teams: Co-founder of Maynooth University's An Foras Feasa Institute, contributing to interdisciplinary research in digital humanities and education.

Mujahid Tabassumمشاهده پروفایل

مدرس

• Computer Networks
• Cybersecurity
• Internet of Things
• +۲ مورد دیگر

Dr. Mujahid Tabassum is a Lecturer in the Department of Computing and Mathematics at South East Technological University. He holds a PhD in Science and Technology from Universiti Sains Islam Malaysia and is a Chartered Engineer registered with the UK Engineering Council. His research spans multiple domains of computing: Secure communication protocols and cryptographic systems IoT networks and wireless sensor applications AI applications in healthcare and bioinformatics Cloud computing adoption in healthcare Quantum-enhanced cybersecurity frameworks Recent publications demonstrate consistent focus on developing security solutions across e-commerce, healthcare, and communication systems. Work integrates theoretical frameworks with practical implementations across diverse technological contexts. Dr. Tabassum holds two Australian patents in IoT and security domains. He maintains professional certifications including CCNA, CCNP, Microsoft Cloud, and Cisco CyberOps. As Guest Editor for several journals, he facilitates academic discourse in security and AI applications.

Ghulam Murtazaمشاهده پروفایل

پژوهشگر

• Quantum Technologies
• Quantum Cryptography
• Photonics
• +۳ مورد دیگر

Dr. Ghulam Murtaza is a Postdoctoral Researcher in the Department of Computing and Mathematics at South East Technological University (SETU). His research focuses on quantum technologies, photonics, and telecommunications engineering. He holds a PhD in Quantum Technologies from the University of Naples Federico II (2023), an MSc in Electronics and Communication Engineering from Beijing University of Posts and Telecommunications (2019), and a BSc in Electrical Telecommunication Engineering from Government College University Faisalabad (2015). His key research areas include quantum cryptography, molecular single-photon sources for quantum key distribution, and electromagnetic compatibility in communication systems. Recent work explores room-temperature molecular photon emitters and the impact of coaxial connectors on signal integrity. Publications highlight advancements in quantum communication systems, optical frequency combs, and energy-efficient routing algorithms. His multi-disciplinary approach bridges quantum optics, telecommunications, and machine learning applications in medical imaging.

Padraig Ó Cathainمشاهده پروفایل

مدرس

• Mathematics
• Algebra
• Combinatorics
• +۳ مورد دیگر

Dr. Padraig Ó Cathain is a Lecturer in the School of Enterprise and Irish at Dublin City University, where Irish is the primary language of instruction. His academic career includes roles as a postdoc at the University of Queensland (2012–2015), Aalto University (2015–2016), and as an Assistant Professor at Worcester Polytechnic Institute (2016–2021). He holds a PhD in Mathematics (Algebraic Combinatorics) from the University of Galway (2012). His research focuses on algebra, combinatorics, and their applications, including design theory, signal processing, and private communication systems. Notable contributions include work on Hadamard matrices, compressed sensing, and combinatorial cryptography. He was awarded the 2015 Kirkman Medal by the Institute of Combinatorics and its Applications for his early-career achievements. Dr. Ó Cathain’s teaching spans discrete mathematics and algebra across undergraduate and postgraduate levels. His research collaborations include projects with Prof. Darryn Bryant (design theory), Prof. Petteri Kaski (computational complexity), and Prof. Camilla Hollanti (mathematics for secure communication).

David Maloneمشاهده پروفایل

استاد

• Mathematical Modeling
• WiFi Networks
• Power Line Communications (PLC)
• +۵ مورد دیگر

David Malone is a Professor and Director of the Hamilton Institute at Maynooth University, affiliated with the Department of Mathematics & Statistics. His research focuses on networking security, wireless network modeling (802.11 and IPv6), power line communications, and password security analysis. Education: B.A.(mod), M.Sc., Ph.D. in Mathematics from Trinity College Dublin Research Interests: Mathematical modeling of networks, WiFi/PLC measurement, password security, IPv6 administration, and wireless network optimization Email: david.malone@mu.ie Recent publications analyze non-cryptographic hash functions, password guessing algorithms, and network security protocols. He has supervised numerous Ph.D. and M.Sc. students in networking and security domains.