جست‌وجوی استاد و پژوهشگر

• Immunology
• Microbiology
• Biochemistry
• +۳ مورد دیگر

Dr. Joan O'Keeffe is a Lecturer in Medical Science at the Department of Biopharmaceutical & Medical Science and a Principal Investigator at the Marine and Freshwater Research Centre (MFRC) in Galway, Ireland. Her dual roles bridge academic instruction and cutting-edge research in marine biomedicine. Research Focus Her work spans immunology, microbiology, and computational biology, with emphasis on: Antimicrobial Peptides : Discovery from marine sources like macroalgae using machine learning Neuroimmunology : Mechanisms of multiple sclerosis and neurodegeneration Translational Applications : Developing bioactive compounds for nutraceuticals and aquaculture health Publication Trends Recent outputs (2021-2023) cluster in two domains: computational identification of marine-derived antimicrobial peptides and neuroinflammatory pathways in MS. Methodologies combine wet-lab validation with bioinformatics, reflecting interdisciplinary collaboration. Affiliations Principal Investigator at Marine and Freshwater Research Centre (MFRC) Department of Biopharmaceutical & Medical Science

Deniz Mevlevioğluمشاهده پروفایل

مدرس

• Virtual Reality
• Affective Computing
• Biosignal Processing
• +۴ مورد دیگر

Dr. Deniz Mevlevioğlu serves as a Lecturer in the School of Computer Science and Information Technology at University College Cork, Ireland, based in Office 1.81 of the Western Gateway Building. His contact details include email Deniz.Mevlevioglu@ucc.ie and phone +353 21 420 5929, with ORCID identifier 0000-0003-2776-1304. His research centers on virtual reality applications for mental health, specifically: Real-time anxiety detection using biosensors and convolutional neural networks during VR therapy Development of immersive cognitive assessments like the Emotional Virtual Reality Stroop Task Integration of physiological feedback mechanisms (e.g., visual respiratory monitoring) in exposure therapy Analysis of his publication history reveals a consistent focus on adaptive VR therapeutic systems. His work bridges computer science and clinical psychology through real-time biosignal analysis, with publications spanning technical implementations (2021-2024), systematic reviews, and pilot clinical studies. Key innovations include convolutional neural network-based anxiety classifiers and respiratory biofeedback integration, all targeting enhanced efficacy of VR-based mental health interventions through physiological computing.

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.

Rafael de Andrade Moralمشاهده پروفایل

استاد

• Statistical Modelling
• Ecology
• Wildlife Management
• +۳ مورد دیگر

Rafael de Andrade Moral is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering (since 2025), with prior roles as Associate Professor (2023-2025) and Assistant Professor (2018-2023). He holds a PhD in Statistics (University of São Paulo, 2014-2017) and dual bachelor's degrees in Biology and Education. His work bridges Statistical Ecology , Computational Biology , and Data Science , focusing on modeling ecological systems, agricultural pest dynamics, and biodiversity-ecosystem function relationships. Key research themes include Bayesian modeling , multivariate ecological forecasting , and machine learning applications . He founded the Theoretical and Statistical Ecology Research Group and serves on committees like the Young-ISA Chair . His recent articles span topics like insect abundance forecasting , weed-crop competition under climate change , and neuroinformatics-based learning analysis , reflecting interdisciplinary engagement. Scientific accolades include the Young Statistician Showcase Prize (2018), A-mu-sing Competition First Place (2021), and Maths Week Award (2022). He has advised three PhD students and contributed to over 50 peer-reviewed publications. Active in teaching innovation (e.g., Teaching Statistics through Music ), he also provides statistical consultancy to organizations like NIBIO and Jomakol .

• Genetic Programming
• Evolutionary Algorithms
• Combinatorial Optimisation
• +۶ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He is a leading expert in Genetic Programming (GP) and Evolutionary Algorithms, with a focus on semantic-based approaches, neutrality, and multi-objective optimization. His work spans applications in combinatorial optimization, gaming (e.g., Carcassonne), and software engineering, including neuroevolution for deep learning architectures. Current Affiliation: Maynooth University Previous Roles: Senior Researcher at University College Dublin, Trinity College Dublin, and INRIA Paris-Saclay Research interests include: Semantic-based Genetic Programming Multi-objective Evolutionary Algorithms Monte Carlo Tree Search Circular Economy Applications Privacy-Preserving Optimization Neuroevolution in Autonomous Systems His recent publications analyze semantic diversity in GP, neural architecture search, and privacy-aware swarm optimization. Key awards include being ranked among the top 1% of GP researchers by University College London (2020), a Marie Curie Fellowship (2014), and a Best Paper Award at ECTA 2015. Current Projects: REBUILD (Circular Economy Buildings, 2024-2027), VISION (Circular Business Models, 2023-2026) Previous Grants: Stochastic Bio-inspired Algorithms (2014-2017, €267k), circAI (2022-2023, €142k) Dr. Galván serves on program committees for IEEE, ACM, and Springer conferences, and as Scientific Adviser for institutions in Ireland, France, and Mexico. His work bridges theoretical GP analysis with real-world applications in energy optimization and AI.

Charles Markhamمشاهده پروفایل

دانشیار

• Computer Science
• Biomedical Engineering
• Machine Vision
• +۵ مورد دیگر

Dr. Charles Markham is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He graduated with a degree in Applied Physics from Dublin City University and earned his PhD in element specific imaging in computerised tomography. His research spans novel imaging systems, biomedical instrumentation, and human-computer interaction with a strong focus on brain-computer interfaces and motion capture technologies. Research Affiliations: Hamilton Institute, ALL Institute Teaching: Robotics, Computer Graphics, Advanced Computer Architecture Professor Markham's research interests center on novel imaging technologies including coded aperture imaging and wide-baseline stereo systems, motion capture and wearable computing with applications in rehabilitation, and mobile machine vision for driving simulation and augmented reality. His work with the Mathematics and Statistics Ecology group demonstrates interdisciplinary interests in ecological modelling . His publication record shows consistent contributions to brain-computer interfaces (2007-2011), driver behavior analysis (2014-2021), motion capture systems (2006-2009), and optical imaging techniques (2001-2008). The research spans multiple disciplines including neuroscience, biomedical engineering, and ecological mathematics. He has supervised several graduate students including D. Kelly (2009 thesis on sign language recognition) and J. Foody (2007 thesis on motion capture biofeedback systems). His collaborations extend across institutions with partnerships at TU Dublin and University College Dublin.

Oliver Masonمشاهده پروفایل

استاد

• Systems and Control Theory
• Matrix Theory
• Mathematics of Data Privacy
• +۴ مورد دیگر

Oliver Mason is a Professor at Maynooth University's Faculty of Science & Engineering , specializing in Mathematics and Statistics . His academic career includes significant contributions to systems theory, matrix analysis, and data privacy. PhD in Lyapunov Stability Theory (2004, Maynooth University) Prior work in satellite communications and Institute of Technology sector Research Interests : Systems and Control Theory for switched systems with time-delay and uncertainty Matrix Theory including D-stability and diagonal stability Mathematics of Data Privacy with focus on differential privacy Max-Algebra applications in asymptotic behavior analysis Wave Energy Converters (WECs) performance optimization Recent Publications show expertise across Ecological Modeling (2023), Control Theory (2022-2018), Linear Algebra (2018-2015), and Data Privacy (2020-2016). Teaching includes modules like Numerical Analysis, Mathematical Biology, and Computational Tools for Research. Professional Roles : Organizer of Hamilton Institute Workshops, TPC member for multiple international conferences.

Jim Buckleyمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution
• Artificial Intelligence for Software Engineering
• +۵ مورد دیگر

Jim Buckley is a Professor in the Computer Science and Information Systems Department at the University of Limerick, Ireland, and a Principal Investigator in Lero. He leads the ARC research group focused on software evolution and legacy system modernization, with significant industry collaborations including Huawei, IBM, and Fidelity. Education: BSc in Biochemistry, University of Galway (1989) MSc in Computer Science, University of Limerick (1994) PhD in Computer Science, University of Limerick (2002) Research Focus: His work centers on AI-enhanced software engineering (AI4SE/SE4AI), featuring breakthroughs in clone detection, software architecture evaluation, and feature location. He has developed industry-adopted tools for software comprehension and evolution, with recent emphasis on explainable AI (XAI) and scalable neural network applications for industrial codebases. His research consistently bridges academic rigor with industrial implementation. Publication Trends: Recent articles (2022-2025) reveal a dominant shift toward AI-driven software engineering solutions, particularly in clone detection and architecture recovery. Key themes include industrial scalability, developer experience optimization, and responsible AI integration, with strong representation in top-tier venues like IEEE Transactions and ACM Computing Surveys. Scientific Awards: No awards specified in source material. Grants & Industry Impact: Leads the Huawei-funded TREES Programme and maintains active partnerships with 9+ companies. His research has yielded licensed tools (e.g., for legacy system evolution), two IP assignments from LLM-based clone detection work, and practical frameworks adopted by seven Irish enterprises. Research Infrastructure: Directs the ARC group within Lero, which combines academic researchers and industry practitioners to address real-world software maintenance challenges through empirical studies and tool prototyping.

• Social Network Analysis
• Multimedia Analytics
• Artificial Intelligence
• +۲ مورد دیگر

Kashif Ahmad serves as an Assistant Lecturer in the Department of Computer Science at Munster Technological University (MTU), Cork, Ireland, and holds an Associate Investigator position with the CONNECT research centre. His academic career includes prior postdoctoral research roles at Hamad Bin Khalifa University in Doha, Qatar, and Trinity College Dublin, Ireland. Education: BSc in Computer Systems Engineering, University of Engineering and Technology, Peshawar, Pakistan (2010) MSc in Computer Systems Engineering, University of Engineering and Technology, Peshawar, Pakistan (2013) PhD, University of Trento, Italy (2017) His research centers on Social Network Analysis and Multimedia Analytics, with specialized focus on Artificial Intelligence and Natural Language Processing applications for Smart Cities. He investigates data-driven methodologies to optimize urban infrastructure, transportation systems, and public service delivery through advanced computational techniques. His work bridges theoretical AI frameworks with practical urban challenges, emphasizing scalable solutions for modern metropolitan environments. As a CONNECT Associate Investigator, Ahmad contributes to Ireland's national telecommunications research initiative, collaborating on next-generation network technologies and cross-institutional projects focused on digital urban transformation.

Mélanie Bourocheمشاهده پروفایل

مدرس

• Distributed Systems
• Middleware for Future Cities
• Participatory Sensing
• +۳ مورد دیگر

Mélanie Bouroche is a Lecturer and Funded Investigator at CONNECT, Trinity College Dublin (TCD). She serves as manager of the Future Cities Research program within the School of Computer Science and Statistics, focusing on urban-scale reliable context-aware applications. Education: INP Grenoble (2003), M.Sc. in Computer Science (2003), Ph.D. from Trinity College Dublin (2008) With over 15 years of research experience, her work spans Distributed Systems, Middleware for Future Cities, Participatory Sensing, and Smart Vehicle Coordination. She collaborates with Intel Labs, Bell Labs, Dublin City Council, and other public/private entities to develop scalable urban computing solutions. As part of CONNECT Centre, Mélanie leads interdisciplinary teams in creating programming abstractions for next-generation smart city infrastructure, integrating sensor networks and vehicular coordination systems.

• Quantum Optical Communications
• Free Space Optical Communications
• Machine Learning Applications
• +۳ مورد دیگر

Dmitrii Briantcev is a Researcher at the CONNECT Centre, Trinity College Dublin, working on the IrelandQCI project in Quantum Optical Communications since June 2023. He holds a Bachelor's in Radiophysics from Saint Petersburg State University (2018) and MS/PhD in Electrical and Computer Engineering from KAUST, where his research focused on Machine Learning and Physical Simulations for Free Space Optical (FSO) communication systems. His educational background: Bachelor in Radiophysics, Saint Petersburg State University (2018) MS and PhD in Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST) Dmitrii's research spans optical and quantum communications domains. His current IrelandQCI project involves building national quantum communication infrastructure, while prior PhD work developed machine learning models for FSO reliability. His broader interests integrate Cybersecurity, Satellite Communications, and Smart Cities applications in next-generation networks. As part of CONNECT's quantum communications team, he contributes to Ireland's quantum testbed development. No information is available regarding advisory roles, grants, or scientific awards.

• Photonic Integrated Circuits
• Optical Performance Monitoring
• Machine Learning

Olivia Butler is a CONNECT PhD researcher at Trinity College Dublin, supervised by Dr. Aleksandra Kaszubowska-Anandarajah. Her work focuses on optical performance monitoring for future network technologies using advanced photonic systems. Education: B.A.I in Electronic and Computer Engineering from Trinity College Dublin Research Interests: Olivia specializes in Photonic Integrated Circuits , with expertise in Optical Monitoring and Machine Learning applications for network optimization. Her doctoral research explores adaptive monitoring frameworks for customized optical networks. Projects: Previously worked on the DTIF iLife project, focusing on static characterization and calibration of photonic integrated circuits for next-generation laser systems.

• Ubiquitous Computing
• Big Data Management and Analytics
• Information Visualization
• +۵ مورد دیگر

Aqeel Kazmi is a Research Fellow at the CONNECT Centre, Trinity College Dublin, Ireland. His work focuses on advancing technologies for smart cities and network dependability. Ph.D. and M.Sc. in Computer Science from University College Dublin (2014, 2009) Research spans ubiquitous computing , IoT , and edge computing Collaborates with Prof. Siobhán Clarke on smart city applications

Madhusanka Liyanageمشاهده پروفایل

دانشیار

• 5G/6G Networks
• Network Security
• Privacy
• +۶ مورد دیگر

Madhusanka Liyanage is an Associate Professor/Ad Astra Fellow and Director of Graduate Research at the School of Computer Science, University College Dublin (UCD). He leads the Network Softwarization and Security Laboratory (NetsLab), focusing on AI, Federated Learning, and Blockchain to enhance security and privacy in 5G/6G networks. He holds adjunct professorships at the University of Oulu (Finland) and University of Sri Jayewardenepura (Sri Lanka), and is a Senior Member of IEEE. Education: B.Sc. in Electronics and Telecommunication Engineering (First Class Honours), University of Moratuwa, Sri Lanka (2009) M.Sc., University of Nice Sophia Antipolis, France (2011) M.Eng., Asian Institute of Technology, Thailand (2012) Doctor of Technology in Communication Engineering, University of Oulu, Finland (2016) His research spans network security, privacy in intelligent systems, and cryptographic tools for next-gen mobile networks. He has co-authored 250+ publications, 3 books, and 2 patents (Google Citations: 15000+, h-index: 50+). Scientific Awards: 2020 IEEE ComSoc Outstanding Young Researcher Top 1,000 Young Researchers Shaping the Future of Science (2022) World's Top 2% Scientists (2020-2022) Irish Research Council Research Ally Prize (2021, 2023) 2022 Tom Brazil Excellence in Research Award IRC Early Career Researcher of 2022 Madhusanka has secured over €8 million in competitive research grants, serves as Principal Investigator for six international projects (including five EU projects), and contributes to equity/diversity initiatives at UCD. He acts as expert consultant at ENISA and reviewer for multiple global funding agencies.

Akbar Majidiمشاهده پروفایل

پژوهشگر ارشد

• Network Edge Computing
• Data Center Optimization
• Vehicular Edge Computing
• +۶ مورد دیگر

Akbar Majidi is a Research Fellow at the CONNECT Centre , Trinity College Dublin (TCD). His work focuses on network edge problems , AI-driven network customization , and smart cities . Previously, he held roles at Huawei Technologies Ireland, iMAR in MTU Kerry, University College Cork (UCC), and the 6G Mobile Research Lab in Prague. Research Interests include: Network Edge Computing and Optimization Real-Time Multi-Resource Allocation AR-VR Streaming Over Cellular Networks Vehicular Edge Computing AI Applications in Networking Publication Trends (2020–2023): First-author works in top venues like IEEE/ACM Transactions on Networking and INFOCOM , with a focus on solving latency issues and resource allocation in next-gen networks. Teaching Experience : Lecturer at Griffith College Cork (Cloud Computing module) and supervisor of Master’s students at CCT College Dublin. Research Affiliations : CONNECT Centre, Enable Research Programme at TCD, 6G Mobile Research Lab (Prague), and collaborations with Huawei Technologies.