Find Academic Supervisors

• Theoretical and Computational Biological Physics
• Chemical Physics
• Nanoscience
• +6 more

Dr. Nicolae Viorel Buchete is an Associate Professor at the University College Dublin (UCD) School of Physics . He serves as Vice Principal for Graduate Studies in the College of Science and leads UCD's Computational Physics postgraduate program . Buchete holds academic degrees from Boston University (PhD) , Al. I. Cuza University , and University of Patras . Current appointments: 2022-Present (Vice Principal), 2014-Present (MSc Program Director) Previous roles: NIH Research Fellow (2003-2008), Visiting Assistant Professor at Boston University (2009-2010) His research focuses on theoretical and computational biological physics with applications in nanoscience , molecular dynamics of biomolecular systems , and multiscale modeling of complex fluids . Recent work includes conformational kinetics of oncogenic proteins , physics-based modeling of nanocarriers , and amyloid peptide dynamics in Alzheimer's disease . Scientific Contributions: Developed advanced Markov State Models and Milestoning frameworks for long-time MD simulations Identified novel salt bridge mechanisms in kinase activation and drug resistance Explored piezoelectric properties of diphenylalanine nanostructures Teaching Innovation: Advocates for research-oriented teaching at both undergraduate and MSc levels. Coordinates modules including Computational Biophysics and Thermodynamics & Statistical Physics at UCD.

Kashif Naseer QureshiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Healthcare Systems
• +6 more

Kashif Naseer Qureshi is an Associate Professor in the Department of Electronic and Computer Engineering at the Faculty of Science and Engineering, University of Limerick, Ireland. His research focuses on the intersection of artificial intelligence, healthcare systems, blockchain technology, and wireless communication networks. His recent work explores: AI-driven healthcare architectures (tri-tier models, distributed networks) Blockchain applications in medical and smart city systems Advanced machine learning techniques for data imbalance problems Edge computing security and privacy frameworks Next-generation AI language models with ethical considerations Publications demonstrate a strong emphasis on practical implementations across IoT, cybersecurity, and smart infrastructure domains. His email contact is KashifNaseer.Qureshi@ul.ie .

Jennifer HyndmanView profile

Lecturer

• Data Analytics
• STEM
• Technology Enhanced Learning
• +3 more

Jennifer Hyndman is a Lecturer in the Department of Computing at Atlantic Technological University, Ireland. Her work bridges academic teaching and cutting-edge research, with a focus on integrating technology into education and advancing computational methodologies. Education : PhD in Computing (2008), supervised by Dr. Tom Lunney and Prof. Paul Mc Kevitt at the University of Ulster, Magee, Derry. Research Interests Jennifer's research spans Data Analytics , STEM , Technology Enhanced Learning , and IoT . Her work explores applications of Artificial Intelligence and Machine Learning in educational contexts, robotics, and ambient intelligent systems. Publication Trends Her publications (2008–2024) demonstrate a trajectory from foundational work in ambient learning environments for children to advanced studies in swarm robotics and deep learning applications. Recent contributions focus on tertiary education pedagogy, cloud computing , and autonomous systems . Teaching Contributions She has taught diverse subjects including Mathematics for Computing , Python Scripting , Data Analytics , and Legal, Ethical, and Social Issues in Computing .

Brenda O'NeillView profile

Lecturer

• Human Centered Systems
• Participatory Action Research
• Cultural Heritage Digitization
• +3 more

Brenda O'Neill is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU), Ireland. She also serves as Director of the Centre for Information Systems & Techno-culture (INSYTE) and is a PhD researcher within the same institution. Her work focuses on Human Centered Systems (HCS) and the application of Participatory Action Research (PAR) to digitize cultural heritage. O'Neill holds a BSc in Applied Computing (1998) and an MSc in Emerging Standards in Online Education (2004). Research interests include cultural heritage preservation through digital methods, educational technology integration, and ethical considerations in human-machine collaboration. She leads the AURA project (2020–present), a national initiative combining digital humanists, computer scientists, and stakeholders to enhance cultural asset accessibility. Recent publications explore frameworks for heritage digitization, AI ethics, and educational applications of cultural archives. Professional activities include organizing conferences like the 2024 IFAC TECIS conference and serving on the Action Research Network leadership. Her work aligns with UN Sustainable Development Goal 4 (Quality Education) by emphasizing inclusive digital education and heritage preservation.

• Industry 4.0
• Computer Vision
• Robotics Safety
• +3 more

Jacqueline Humphries is a Lecturer in the Department of Information Technology at the Faculty of Applied Sciences and Technology. Her research focuses on Industry 4.0, robotics safety, computer vision, and quality management systems. She has contributed to over 10 peer-reviewed publications between 2019-2024, with a particular emphasis on human-robot collaboration safety, manufacturing error reduction, and sustainable production frameworks. Key research themes include optimizing human-robot interaction through computer vision fusion, enhancing quality 4.0 standards, and designing effective industry-academia partnerships for technology adoption. Her work aligns with UN Sustainable Development Goals related to sustainable industry and innovation. Recent studies explore topics like protective separation distance in collaborative robotics, lighting conditions' impact on object detection accuracy, and taxonomy development for human augmentation technologies in manufacturing. No formal awards are listed, though her h-index of 20 reflects significant citation activity.

• Machine Learning
• Physiological Signal Processing
• Emotion Recognition
• +3 more

Mary Pidgeon is a Lecturer in the Department of Computer and Software Engineering at the Faculty of Engineering and Informatics. Her research focuses on emotion recognition through peripheral physiological signals and the integration of machine learning techniques with wearable technologies. She explores areas such as galvanic skin response, pulse volume, and skin temperature analysis to advance human-computer interaction and biomedical applications. Her recent work includes developing end-to-end models for emotion recognition and proposing federated learning frameworks for emotion understanding via smart clothing. These projects highlight her interest in ethical data usage and practical healthcare applications. No awards or grants are explicitly mentioned in the provided text.

• Cybersecurity
• Deep Learning
• Blockchain
• +7 more

Yuansong (John) Qiao is a Research Fellow at the Software Research Institute (SRI), Technological University of the Shannon: Midlands Midwest. His work spans cybersecurity, blockchain, and reinforcement learning, contributing to technologies like decentralized edge environments, intrusion detection systems, and immersive 360° video analytics. He supervises PhD students and actively explores applications in robotics, digital twins, and IoT. Recent publications highlight his focus on multi-view deep learning for anomaly detection , blockchain integration with AI , and ROS-based reinforcement learning . These works address challenges in cyber threat identification, decentralized finance, and smart manufacturing. His methodological innovations include knowledge graphs for security analytics and spatial audio analysis for VR environments. Qiao’s research aligns with UN Sustainable Development Goals, particularly in Quality Education (through supervised student projects) and Industry Innovation (via tools like Containerchain and UniROS). His collaborations span cybersecurity frameworks, decentralized robotics, and privacy-preserving systems for smart cities.

Jeneen NajiView profile

Associate Professor

• Digital Humanities
• Electronic Literature
• Intersectional Feminist Frameworks
• +4 more

Jeneen Naji is an Associate Professor and Associate Dean for Teaching and Learning in the Faculty of Arts and Humanities at Maynooth University. She specializes in digital humanities, focusing on intersectional feminist frameworks, digital cultural artefacts, and the impact of technology on creative expression. Her roles include overseeing research and teaching initiatives, and she leads projects such as the Full Stack Feminism in Digital Humanities and YEWHA: Class, Gender, Race and Age . She holds a PhD from Dublin City University (2012) and is a Fulbright TechImpact Scholar. Her research interests span electronic literature, digital poetry, and critical analysis of digital culture. She teaches courses in Media Studies, Multimedia, and Games Design. Key awards include the Maynooth University Teaching & Learning Fellowship (2012) and Fulbright TechImpact recognition (2014). She has supervised PhD students Monireh Astani and Meredith Dabek, and currently advises JOHN PHILIP KIRWAN. Jeneen collaborates with institutions like Sussex University (UK) and the Digital Repository of Ireland. Her work addresses issues such as voice diversity in text-to-speech systems and geospatial narratives in virtual environments. She chairs committees like the Faculty EDI Forum and contributes to interdisciplinary projects like the Building City Dashboards initiative.

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +6 more

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .

Martin HayesView profile

Professor

• Systems Science
• Computer based Control
• Machine Learning
• +11 more

Martin Hayes is a Professor in the Department of Electronics & Computer Engineering at the University of Limerick and a Professor at Lero – the Irish Software Research Centre. He currently serves as Academic lead for the HCI UL@Work project and previously held the Head of Department position from 2017 to 2021, with continuous faculty service since 1995. Education: PhD in Engineering from Dublin City University (1997) M.Eng (1992) B.Eng (1989) His research expertise spans Systems Science, Computer based Control, Machine Learning, and Artificial Intelligence, with significant contributions to Smart Manufacturing, Wireless Networks, and Robust Control. He integrates advanced control theory with AI methodologies to address challenges in manufacturing optimization, power management, and biomedical systems, emphasizing practical industrial applications and system reliability. Recent publications (2024-2025) demonstrate a concentrated focus on AI-driven industrial solutions, particularly deep learning for defect detection in remanufacturing, real-time failure prediction in additive manufacturing, and secure IoT access control systems. These works highlight his commitment to enhancing manufacturing efficiency through computational innovation and robust security frameworks. Scientific Awards: Community Service Award UL (1999) Visiting Research Fellow, University of Leicester (1999) As a core member of Lero, Hayes leads national software research initiatives including the HCI UL@Work project, developing human-centered computing solutions for workplace environments. His research directly supports UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure) through advancements in smart manufacturing and resilient systems engineering.

• Materials Chemistry
• Stimuli-Responsive Polymers
• Soft Robotics
• +7 more

Larisa Florea is an Associate Professor in the School of Chemistry at Trinity College Dublin, where she leads an independent research group focused on advanced materials and soft robotics. She is also affiliated with the AMBER Centre, a Science Foundation Ireland research center for advanced materials and bioengineering. Her work integrates chemistry, engineering, and data science to develop next-generation responsive materials. Trinity College Dublin, School of Chemistry AMBER Centre (Advanced Materials and Bioengineering Research) Her research centers on stimuli-responsive polymers, 3D/4D printing via two-photon polymerization, microfabrication of smart actuators and sensors, and autonomous micro-vehicles. She develops materials that change shape, color, or function in response to light, temperature, chemicals, or pH, with applications in soft robotics, biomedical devices, and environmental sensing. Her recent publications reveal a strong trend in dynamic photonic structures, sugar-responsive hydrogels, and vapor-sensing microsystems. These works highlight her expertise in merging precision fabrication with intelligent material design. She frequently employs two-photon lithography to create microscale devices with sub-micron resolution, enabling applications in encryption, biosensing, and microfluidics. European Research Council Starting Grant (2018) IRC Laureate STG Award (2018) Invent Commercialisation Award, DCU (2016) Irish Research Council PhD Scholarship (2009) SFI UREKA Undergraduate Award (2008) Larisa Florea has successfully secured major grants, including an ERC Starting Grant and an IRC Laureate Award, to support her independent research. She actively mentors students and postdoctoral researchers, many of whom are co-authors on her high-impact publications. Her lab, the FloreaLab, fosters interdisciplinary collaboration and innovation in materials science. She leads a dynamic research team developing smart microstructures and soft actuators. Her lab utilizes advanced fabrication techniques such as two-photon polymerization and microfluidics to engineer responsive systems. The team collaborates with experts in data analytics, robotics, and bioengineering to push the boundaries of functional materials.

Barry SheehanView profile

Associate Professor

• Risk Management
• Insurance
• Machine Learning
• +7 more

Dr. Barry Sheehan is an Associate Professor in Risk and Finance at the Kemmy Business School , University of Limerick . He serves as Course Director for interdisciplinary programs including the award-winning MSc in Machine Learning for Finance , MSc in Computational Finance , and Grad. Dip. in Artificial Intelligence in Finance . A member of the Emerging Risk Group (ERG) and Lero – The Irish Software Research Centre , he specializes in estimating risk profiles for emerging technologies through machine learning. Interdisciplinary research bridging finance, insurance, and technology Contributing to UN Sustainable Development Goals (SDGs) through risk analysis Active in EU-funded consortia: PROTECT , VI-DAS , Cloud-LSVA His research spans Cybersecurity , Autonomous Vehicles , and Quantitative Finance , with publications focusing on Bayesian network modeling and systematic risk reviews. Current work emphasizes data availability challenges and actuarial implications of smart mobility systems.

Diarmuid O'DonoghueView profile

Assistant Professor

• Computational Creativity
• Analogical Reasoning
• Natural Language Processing
• +4 more

Diarmuid O'Donoghue is an Assistant Professor in the Faculty of Science & Engineering at Maynooth University, specializing in Computational Creativity and Analogical Reasoning . His research explores topological similarities between text and source code to develop cognitively inspired systems for problem-solving and bias detection. Co-PI of the Modelling implicit bias project (€21/FFP-P/10118) Senior Scientific Coordinator for the €2.6M EU-funded Dr Inventor project Key research areas include: Latent homomorphism detection in lexical data Comparative analysis of LLMs and analogical systems Formal specification generation from code/text His work has shaped undergraduate project frameworks with ethical GenAI integration . Publications span ICCC , GECCO , and journals like Artificial Intelligence Review .

Barry O'SullivanView profile

Professor

• Artificial Intelligence
• Machine Learning
• Constraint Satisfaction
• +3 more

Professor Barry O'Sullivan is a leading academic and industry expert in artificial intelligence at University College Cork , where he serves as a full professor in the School of Computer Science & IT . He directs the Insight Centre for Data Analytics and the SFI Centre for Research Training in AI, and holds influential advisory roles at Europol's GRACE project, Leuven.ai institute, and the Computational Sustainability Network. His €300m+ R&D funding achievements and 15+ recent publications highlight his technical and societal impact. Co-founder and Chief AI Officer, Stimul.ai Member of University College Cork Governing Body Vice Chair, European Commission High-Level Expert Group on AI Former President, European AI Association His research spans AI ethics , machine learning , and computational sustainability , with recent work focusing on explainable AI for medical diagnostics, energy-efficient scheduling in manufacturing, and human-AI collaboration mechanisms. His publications reveal expertise in constraint programming, anomaly detection, and multilingual reasoning systems. Notable awards include fellowships from AAAI, EurAI, and the Royal Irish Academy, alongside leadership roles in AI policy committees for the European Commission and Irish health research ethics. He leads a team of PhD researchers at UCC, including Marco Dalla and Sharmi Dev Gupta, while directing major European AI initiatives like the ALTAI assessment framework.

Farhan JavedView profile

Researcher

• Wireless Networks
• Communications
• Wireless Sensor Networks
• +13 more

Farhan Javed is a CONNECT PhD researcher at University College Cork (UCC), affiliated with the School of Computer Science & IT. His research is jointly supervised by Dr. Aisling O’Driscoll, Prof. Cormac J. Sreenan, and Dr. Andrew Hines, focusing on advanced wireless communication systems and AI-driven network customization. BSc in Telecommunication Engineering (UET Taxila, 2015) MSc in Electrical Engineering (Comsats University, 2022) Internships: Pakistan Telecommunication Company Limited (2015), Pakistan Broadcasting Corporation (2016) Work Experience: Research Analyst at Elegant Digital Signage (2018–2023) His research spans wireless networks, vehicular ad hoc networks (VANETs), edge computing, 6G network management, IoT, and energy-efficient systems, with applications in smart cities and healthcare. He contributes to dependable network design and tele-operated driving technologies. Farhan’s publications highlight interdisciplinary work, including a 2023 paper on edge computing in 6G vehicular networks and a 2016 study on organotin bioactivities. His expertise bridges telecommunications, machine learning, and computational biology.