جست‌وجوی استاد و پژوهشگر

• 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.

John J Collinsمشاهده پروفایل

دانشیار

• Compiler Optimization
• Software Parallelization
• Robotics
• +۴ مورد دیگر

John J Collins is an Associate Professor at the University of Limerick, affiliated with the Department of Computer Science & Information Systems and Lero – the Research Ireland Centre for Software. His research focuses on compiler optimization, software parallelization, robotics, and evolutionary algorithms. Notable contributions include work on grammatical evolution and empirical studies in software requirements engineering. He has authored 36 research outputs since 1997, including a comprehensive handbook on grammatical evolution. Research Interests: Compiler flag optimization using genetic engineering Robotics (mobile robot control, SLAM) Machine vision applications Parallelization techniques in multi-core architectures Grammatical evolution methodologies Key Publications: His recent work includes a 2019 study on requirement engineering challenges across 11 organizations and a 2017 case study on data decomposition for parallel software systems. The 2018 Handbook of Grammatical Evolution remains a foundational text in evolutionary computing. Advising & Grants: While no specific advisees are listed, his research has been supported through institutional affiliations with Lero and the Department of Computer Science. Active in both academic publishing and applied software research. Labs/Teams: Principal member of Lero – the Irish Software Research Centre, contributing to collaborative projects in software systems and AI-driven development.

John O'Mullaneمشاهده پروفایل

مدرس

• Serious Games
• Medical Informatics
• Educational Technology
• +۳ مورد دیگر

Dr. John O'Mullane is a Lecturer in the School of Computer Science and Information Technology at University College Cork (UCC). He holds a PhD from UCC and a Postgraduate Diploma in Teaching and Learning in Higher Education. His research focuses on serious games, medical informatics, educational technology, and statistical methodologies. He has contributed to projects involving mobile health solutions, healthcare data analysis, and blended learning environments. Education: BSc in Computer Science (UCC) MSc in Computer Science (UCC) PhD in Computer Science (UCC) Postgraduate Diploma in Teaching and Learning in Higher Education (UCC) Research Interests: Dr. O'Mullane explores the application of technology in healthcare and education. His work spans serious games for assessment, mobile health solutions for chronic disease management, and innovative statistical techniques for data analysis. He emphasizes the intersection of technology and pedagogy, particularly in developing self-regulated learning systems and blended learning frameworks. Notable Achievements: Recipient of the UCC President's Award for Innovative Teaching (2008, 2013) Contributions to medical imaging systems and telemedicine Leadership in statistical education initiatives and student experience surveys Grants & Advising: He has advised multiple postgraduate students and contributed to research projects funded by various institutions. His work includes analyzing student experiences across colleges at UCC and developing feedback systems for academic performance. Labs/Teams: Involved with interdisciplinary teams in medical informatics, education technology, and statistical research, including collaborations with the School of Medicine and the Student Experience Office.

• 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.

Andrew Keaneمشاهده پروفایل

استاد

• Power Systems Planning and Operation
• Integration of Distributed Energy Resources
• Renewable Energy Grid Integration
• +۵ مورد دیگر

Andrew Keane is a Full Professor and Director of NexSys and the Energy Institute at University College Dublin (UCD). He leads research in power system planning and operation, with a focus on distribution networks, renewable energy integration, and multi-energy system co-simulation. He has held leadership roles including Head of the School of Electrical & Electronic Engineering at UCD and founded NovoGrid, a grid automation company. His research spans power electronics, voltage stability, and smart grid technologies. Key areas include Renewable energy impacts on transmission networks Green hydrogen for grid flexibility Discrete control device optimization Network topology identification Recent publications highlight trends in voltage control strategies, renewable hosting capacity analysis, and electricity-gas network interdependencies. Awards include the 2022 Industry Partnership Award, NovaUCD Licence of the Year, and the 2012 Intel Early Career Faculty Honor Program. Teaching activities at UCD include coordinating modules on Energy Climate Change & Policy Grid Engineering and Modeling Optimization Techniques Power System Optimization Grants fund his work on energy system integration, green hydrogen, offshore wind, and smart grid test beds across multiple projects from 2012 to 2026. He serves as Senior Member of IEEE and contributes to technical standards committees.

• Robotics
• Automation
• Advanced Manufacturing
• +۳ مورد دیگر

Philip Long is a Lecturer in Automation, Robotics & Advanced Manufacturing at the Department of Mechanical & Industrial Engineering, University of Galway. He serves as a Principal Investigator in the Engineering Research Group (ERG), focusing on robotics and advanced manufacturing systems. Research Interests: Active in robotics engineering, his work spans non-prehensile manipulation, sensor fusion for obstacle detection, wrench capability analysis in parallel robots, and human-supervised operations in extreme environments. His research integrates mechanical design, control theory, and AI to enhance robotic performance. Recent Publications: His 2023 contributions include methods for state-triggered constraints in manipulation tasks, polytope-based performance metrics, and multi-sensor fusion techniques. Earlier work (2021) explores humanoid robot safety in radioactive environments. Collaborations: Collaborates with researchers like Dr. Taskin Padır (Northeastern University) and Dr. Stéphane Caro (CNRS). Affiliated with institutions in Ireland and the US.

• Structural Biology
• NMR Spectroscopy
• Antimicrobial Peptides
• +۷ مورد دیگر

Associate Professor Chandralal Hewage is a structural biologist at the School of Biomolecular and Biomedical Science, University College Dublin, with over 30 years of expertise in NMR spectroscopy. His research focuses on biologically active peptides for diabetes therapy, antimicrobial drug development, and liver disease metabolic studies. Research Interests: Structural analysis of diabetes-related peptides Design of GIP and endothelin receptor drugs NMR-based antimicrobial peptide studies Liver cell metabolic profiling in disease states Development of computational peptide modeling tools Scientific Contributions: Organizer of international conferences EUROMAR 2012 and ICMRBS 2018. Author of >100 publications. Developer of bioinformatics tools APPTEST and ENNAVIA for peptide structure/activity prediction. Professional Affiliations: ICMRBS Council Member European Peptide Society Council Member Chairman of Irish Peptide Society

Erika Duriakovaمشاهده پروفایل

پژوهشگر ارشد

• Distributed Systems
• Graph Processing
• Machine Learning
• +۲ مورد دیگر

Erika Duriakova serves as a Postdoctoral Research Fellow at the Insight Centre for Data Analytics, specializing within the Recommender Systems research group. Her current research centers on pioneering secure decentralised marketplaces for data sharing, integrating her expertise in distributed computing and machine learning to address critical privacy challenges in modern data ecosystems. Her academic credentials include: PhD in Computer Science, University College Dublin, 2018 Duriakova's research spans foundational work in parallel and distributed systems, with significant contributions to scalable graph processing architectures and machine learning applications. Her earlier investigations into distributed recommender systems established frameworks for efficient large-scale recommendation engines, while her current focus on secure data marketplaces explores cryptographic techniques and decentralised protocols to enable trustworthy data exchange without compromising user privacy. This trajectory demonstrates a consistent emphasis on solving scalability bottlenecks in data-intensive computing environments through innovative system design. Within the Recommender Systems research group, she collaborates on advancing algorithmic approaches that balance personalization with ethical data handling, contributing to the Centre's mission of developing human-centric data analytics solutions. No scientific awards, student mentorship records, or grant funding details are documented in the available materials.