Find Academic Supervisors

• Photodetection
• Optical Engineering
• Photovoltaic Energy Systems
• +3 more

Alan Morrison is a Senior Lecturer in the Department of Electrical and Electronic Engineering at University College Cork (UCC), part of the College of Science, Engineering and Food Science (SEFS). He holds roles including Vice-Dean for Undergraduate Affairs (since 2021) and former Dean of Engineering (2012–2018). His academic career began at UCC in 1998, progressing from Lecturer to Senior Lecturer in 2006. A Chartered Physicist (1998) and Senior Member of IEEE (since 2002), Morrison is also a Science Foundation Ireland Principal Investigator. Education : - B.E. (First Class Honors) in Electrical Engineering, UCC (1992) - Ph.D. in Electrical Engineering, National University of Ireland (1997) Research Interests : Morrison's work focuses on three core areas: 1. Multi-spectral LED lighting for horticulture (collaboration with School of BEES, UCC) 2. Optical detection, including Geiger-mode avalanche photodiodes (SPADs) for low-light imaging and photon counting 3. Photovoltaic systems and energy storage, with contributions to multi-junction solar cell development and concentrated photovoltaic (CPV) systems. His dormant research included nanopore DNA analysis technologies. Grants & Awards : - Science Foundation Ireland (SFI) grants: PhoCUS (€897k), MODCON-PV (€310k) - EU funding: Nano-ChApp (€203k) - Over 150 peer-reviewed publications and multiple patents. Teaching : Courses include EE1007 (Intro to Electrical Engineering), NE4008 (Photovoltaic Systems), and others focused on photonics, renewable energy, and embedded systems. Lab & Collaborations : Affiliated with the Tyndall National Institute's Photonics Centre. Active in interdisciplinary projects involving nanotechnology, energy systems, and agricultural technology.

Sinead O'KeeffeView profile

Research Fellow

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +4 more

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie

Liam BarryView profile

Professor

• All-Optical Signal Processing
• Optical Pulse Generation and Characterization
• Hybrid Radio/Fibre Communication Systems
• +5 more

Prof. Liam Barry is a Professor in the School of Electronic Engineering at Dublin City University (DCU), where he also serves as Director of the Radio and Optical Communications Laboratory. He holds a PhD from the University of Rennes, France, and has held research and academic roles at institutions including France Telecom’s Orange Labs and Auckland University, New Zealand. His expertise spans optical communications, signal processing, and optoelectronics. Key roles include ECOC 2019 Co-Chair and SFI Principal Investigator. He has published over 600 articles, holds 10 patents, and supervised 37 graduate students. Education: BE (Electronic Engineering) – University College Dublin (1991) MEngSc (Optical Communications) – University College Dublin (1993) PhD – University of Rennes, France (1996) Research Interests: All-optical signal processing Optical pulse generation and characterization Hybrid radio/fibre communication systems Wavelength-tunable lasers for reconfigurable networks Optical performance monitoring Optical frequency combs Funding & Awards: €20M Irish Photonic Integration Centre (IPIC) SFI Programme (2013–2025) Member of Royal Irish Academy (2019) Irish Research Council Board Member (2019) Over €70M in research grants secured across 60+ projects Labs & Teams: Director of the Radio and Optical Communications Laboratory, part of The Rince Institute (2006–2010). Collaborates with industry partners like Tyndall Institute, Eblana Photonics, and ESA. Grants & Contributions: Lead on projects like OPTICOMB, BIGPIPES, and TOPCAT Co-Chair of ECOC 2019

Venkata Virajit GarbhapuView profile

Research Fellow

• Optical Communications
• Network Optimization
• Artificial Intelligence in Networking
• +4 more

Venkata Virajit Garbhapu (Viru) is a Research Fellow at the CONNECT Centre, Trinity College Dublin, specializing in optical networks with emphasis on physical layer optimization and cross-layer integration. Education: PhD, Institut Polytechnique de Paris (CIFRE scholar with Huawei) Laura Magistrale, Politecnico Di Milano His research focuses on maximizing network capabilities through physical layer impairment-aware frameworks, demonstrated by 52.8% training time reduction in distributed AI systems using 800G DCI links and superior failure recovery via optical circuit switching. Key contributions include per-channel power allocation algorithms balancing linear/nonlinear impairments and feasible C-band integration of classical/QKD signals through Raman noise-aware wavelength allocation. His work centers on developing sophisticated simulators enabling cross-layer optimization for functionalities like QKD and packet switching. Analysis of his 2019-2025 publications reveals a dominant trend toward AI-driven network automation, with increasing emphasis on digital twins and large language models for lifecycle management, alongside quantum-classical signal coexistence. The research consistently bridges theoretical algorithms with experimental demonstrations, showing progression from transfer learning for failure detection to advanced AI/quantum integration. No scientific awards were mentioned in available sources. His PhD was supported by a CIFRE industrial scholarship with Huawei, and he participated in the European QSNP project. No student advisement details are provided, though his BONSAI research addressed optical network failure management using transfer learning to overcome data scarcity. He operates within the CONNECT Centre ecosystem at Trinity College Dublin while maintaining active collaboration with Huawei Paris Research Center, reflecting strong industry-academia integration in optical communications research.

Edin OmerdicView profile

Academic

• Marine Robotics
• Fault-Tolerant Control Systems
• Underwater Navigation
• +3 more

Edin Omerdic is a Senior Research Fellow at the Department of Electronic and Computer Engineering, University of Limerick, Ireland. His expertise focuses on marine robotics, fault-tolerant control systems, and underwater navigation technologies. Research Interests: Development of advanced control systems for Remotely Operated Vehicles (ROVs) and Unmanned Underwater Vehicles (UUVs) Integration of FPGA-based hardware for high-speed cybersecurity and data processing Design of optical fiber sensors for pressure and depth measurement in marine environments System integration for cyber-physical systems and heterogeneous robotic platforms Applications in offshore renewable energy inspection and maritime emergency response His work emphasizes real-time control allocation, power management, and sensor fusion for long-endurance underwater missions. While no specific awards or students are listed, his research has produced significant publications in marine robotics and embedded systems over two decades.

Kevin NolanView profile

Researcher

• Fluid Dynamics
• Aerosol Transmission
• Medical Engineering
• +5 more

Dr Kevin Nolan is a Researcher at the UCD School of Mechanical and Materials Engineering , University College Dublin, specializing in fluid dynamics , aerosol transmission , and medical engineering . His work spans surgical safety , renewable energy systems , and microfluidic technologies , with a focus on real-world applications like infection control and wind turbine aerodynamics . Recent research includes modeling surgical smoke leakage , developing standards for face coverings , and analyzing wind turbine blade erosion using advanced fluid dynamic techniques. Collaborations with Mater Hospital , Cisco Systems , and NUI Galway highlight the interdisciplinary impact of his work. Key contributions: Schlieren optical technique for visualizing airflow, European standard development for community face coverings Current projects involve IoT-based air quality monitoring , 3D facial mapping for mask design , and reducing dead spots in air purification Publications address gas leaks in laparoscopy , reusable cloth mask efficacy , and flow friction dynamics , with a strong emphasis on computational fluid dynamics (CFD) and practical mitigation strategies across medical and engineering domains.

Rana Kumar JanaView profile

Research Fellow

• Optical Networks
• Artificial Intelligence
• Machine Learning
• +3 more

Dr. Rana Kumar Jana serves as a Research Fellow at the School of Computer Science and Statistics, Trinity College Dublin, Ireland, affiliated with the CONNECT Centre. His work focuses on the intersection of artificial intelligence and optical networks, specifically addressing AI-assisted resource provisioning and performance optimization in elastic multiband optical systems to overcome the optical fiber capacity crunch. He holds a Ph.D. in Electronics and Communications Engineering from IIIT-Delhi, India. His educational background includes: Ph.D. in Electronics and Communications Engineering from IIIT-Delhi, India Dr. Jana's research centers on Optical Networks and Machine Learning , with emphasis on quality of transmission estimation, nonlinear-impairment mitigation, and resource reprovisioning in C+L band elastic optical networks. He integrates experimental validation with techno-economic analysis to develop practical solutions for network capacity expansion, leveraging domain knowledge and adaptive margin techniques. His work bridges theoretical innovation with operator perspectives in telecom infrastructure evolution. Analysis of his 15 recent publications (2020-2024) reveals a consistent trajectory toward overcoming optical capacity limitations through multi-band expansion, multi-core fibers, and AI-driven optimization. Key themes include machine learning for quality estimation, techno-economic comparisons of upgrade strategies (e.g., multifiber vs. ultra-wideband), and survivability analysis under fill margin constraints. His publications in premier venues like JOCN and ECOC demonstrate rigorous experimental validation coupled with real-world operator insights. No scientific awards were specified in the source material. Dr. Jana actively mentors undergraduate and postgraduate students in machine learning applications for optical systems and SDN-enabled network failure management. His research collaborations span industry (British Telecom) and academia (UCL, Aston University, University of East Anglia), suggesting involvement in externally funded projects, though specific grants are not detailed. As an IEEE TPC member, reviewer, and workshop organizer, he contributes significantly to the optical networking community. He operates within the CONNECT Centre at Trinity College Dublin, a leading hub for future networks research. His international engagements with British Telecom, University College London, and Tejas Networks highlight cross-sector collaborations focused on next-generation optical infrastructure, particularly in elastic network architectures and AI-assisted resource management for backbone networks.

• Performance Engineering
• Telecommunication Systems
• Enterprise Software
• +3 more

John Murphy is a Full Professor at the School of Computer Science, University College Dublin. He holds academic positions as an IBM Faculty Fellow and Fellow of multiple professional organizations, including the Institution of Engineering and Technology and Engineers Ireland. His research focuses on Performance Engineering, Telecommunication Systems, and Middleware, with a strong emphasis on cloud computing, distributed systems, and network optimization. Education: B.E. (Electronic Engineering) from University College Dublin (1988), M.Sc. (Electrical Engineering) from California Institute of Technology (1990), and Ph.D. (Electronic Engineering) from Dublin City University (1996). Research Interests: His work spans Performance Engineering, Telecommunication Systems, Enterprise Software, Middleware, Mobile Networks, and Queueing Theory. Notable contributions include energy-efficient cloud resource management and network-aware scheduling in data centers. Publications: Over 200 peer-reviewed articles, including recent work on intelligent computing in IoT, energy-efficient VM mapping, and load balancing in wireless networks. His research trends emphasize cloud optimization, distributed systems performance, and smart city infrastructure. Awards: Recognitions include the Real Time Correlation Engine award and prestigious fellowships. He has supervised 24 PhD students and secured over €9.5M in research grants. Teaching: Coordinates modules on Computer Networking, Databases, and Programming. He advocates for foundational learning to foster adaptability in students. Grants: Includes Horizon 2020 projects like NEO-QE and PRTLI grants for SimSci. Collaborates with industry partners for applied research. Labs: Leads the Performance Engineering Laboratory, advancing research in distributed systems and network performance.

Vanessa EganView profile

Associate Professor

• Heat Transfer
• Fluid Mechanics
• Microfluidics
• +8 more

Dr. Vanessa Egan is an Associate Professor at the University of Limerick, affiliated with the School of Engineering and the Bernal Institute. Her research focuses on heat transfer and fluid mechanics in two-phase/multiphase flows, aircraft compartment cooling, and thermal management of electronics. She employs advanced experimental techniques like Particle Image Velocimetry (PIV) and IR thermography. Her work has been supported by industry partnerships and competitive grants, resulting in over 80 publications, including 25 peer-reviewed journal articles and book chapters. Research Interests: Two-phase flow analysis in microfluidics Aircraft compartment heat transfer Low-profile cooling solutions for electronics Optical measurement techniques for fluid dynamics Nanofluids thermal performance Recent Research Trends: Her recent articles emphasize heat pipe optimization, liquid-liquid Taylor flow dynamics, and thermal management systems for aerospace and electric vehicles. Collaborations have explored novel methodologies for non-destructive analysis of heat pipes and real-time flow characterization. Advising & Grants: Dr. Egan has supervised four PhD students to completion and secured funding from industrial and competitive grant sources. Her work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). Labs & Teams: Active within the Bernal Institute, her research integrates interdisciplinary approaches to thermal and fluid systems, with applications in aerospace, electronics, and energy storage.

Deirdre KilbaneView profile

Academic

• Nanotechnology
• Artificial Intelligence
• Quantum Physics
• +7 more

Dr. Deirdre Kilbane is the Director of Research at the Walton Institute for Information and Communications Systems Science, Department of Computing and Mathematics, Waterford Institute of Technology (SETU). She is also an Adjunct Lecturer in the School of Physics at University College Dublin (UCD), contributing to academic teaching and research supervision. Her strategic leadership drives innovation in AgriTech, Healthcare, Smart Cities, Energy, and ICT. Education: PhD in Mathematical Physics, Maynooth University (1999–2004) BSc in Experimental Physics, University College Dublin (1995–1999) Her research focuses on nanotechnology, artificial intelligence, quantum physics, and molecular communications , with applications in brain implants for epilepsy, quantum key distribution, and smart agricultural systems. She leverages interdisciplinary approaches to solve real-world challenges in healthcare and communications. Her work aligns with UN Sustainable Development Goals, particularly in health and innovation. The most recent publications highlight a strong trend in quantum communication systems , especially satellite-based QKD, and AI-driven edge solutions for industrial IoT, including dairy processing. There is also significant focus on nanoscale biosensing for neurological conditions, reflecting her involvement in the EU Horizon 2020 PRIME project. These works span quantum engineering, AI, and biomedical applications, indicating a highly interdisciplinary research profile. Scientific Awards and Recognition: Coordinator and Principal Investigator, EU Horizon 2020 FETOpen PRIME project Member, Science Foundation Ireland Research Centres: CONNECT and FutureNeuro Featured among '9 women in deep tech you should be following' (2024) Regular invited speaker on quantum technologies and EuroQCI Dr. Kilbane actively advises PhD students, including Rahul Mhapsekar, and leads major research grants from Horizon Europe and SFI. Her projects often involve cross-institutional and international collaborations, particularly in quantum communication and 6G technologies. She has secured significant funding, including SETU’s largest Horizon Europe drawdown to date. Her leadership extends to public engagement, policy input, and media commentary on emerging technologies. She is a key member of the Walton Institute’s research divisions, which focus on future networks, communications, and intelligent systems. Her team works on cutting-edge projects in quantum communication, AI for IoT, and neurotechnology, often in collaboration with CONNECT and FutureNeuro. The institute serves as a national hub for innovation in ICT and smart systems, with Dr. Kilbane playing a central role in shaping its research direction.

• Network Optimization
• Quantum Communication
• Machine Learning
• +6 more

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

James GarlandView profile

Lecturer

• Machine Learning
• Embedded Systems
• FPGA/ASIC Design
• +4 more

Dr. James Garland is a Lecturer in the Department of Electronic Engineering and Communications at South-East Technological University (SETU), part of the engCORE academic unit. He holds a PhD in Computer Science from Trinity College Dublin (2022). His research focuses on micro-architectural implementations of deep learning algorithms in FPGA/ASIC/embedded systems, with applications in robotics and aerospace engineering. Key areas include defect detection via unmanned aircraft systems, image classification, and GAN-based enhancement for license plate recognition. Education: PhD in Computer Science (Trinity College Dublin, 2022). Research interests span machine learning optimization, embedded systems design, and aerospace robotics. His work emphasizes low-complexity hardware solutions for high-performance computing and energy efficiency. Recent articles explore topics like super-resolution GANs, zero-shot learning in pre-trained models, and spatial mapping for aircraft defect localization. He actively contributes to peer-reviewed journals, including Journal of Universal Computer Science and IEEE Access . Media coverage includes collaborations with the Irish Department of Aerospace and Mechanical Engineering. Teaching responsibilities include courses on artificial intelligence, control systems, and avionics fundamentals.

Zili LiView profile

Senior Lecturer

• Innovative Monitoring Technologies
• Computational Geotechnics
• Tunnelling Engineering
• +3 more

Dr. Zili Li is a Senior Lecturer (Associate Professor) in Geotechnical Engineering at University College Cork (UCC), Ireland. He holds a PhD from the University of Cambridge and has postdoctoral experience at the Colorado School of Mines and a visiting professorship at MIT. His research focuses on innovative monitoring technologies, computational geotechnics, and energy geotechnics. He leads projects funded by CERN and the SFI Frontiers Programme, totaling over €2 million as Principal Investigator. Education Bachelor in Civil Engineering, Tongji University PhD in Engineering, University of Cambridge Research Interests Dr. Li’s research integrates advanced technologies like distributed fiber optic sensing, machine learning, and wireless sensor networks with geotechnical engineering challenges. His work spans tunneling engineering, geothermal foundations, and energy geotechnics, addressing critical infrastructure needs such as underground excavation monitoring and large-scale energy geostructures. Grants and Projects Principal Investigator of SFI Frontiers for the Future Programme (€612.8k) Leading CERN-funded project on tunnel monitoring (€405k) Task Force Leader for Big Data Acquisition in ISSMGE’s TC309 Awards John Murphy Postgraduate Research Fellowship (2022) Advising and Mentoring Supervising 8 PhD students and mentoring a postdoc, Dr. Li actively contributes to training the next generation of geotechnical engineers. Labs and Teams Leads the Zili Li Group, focusing on machine learning and big data applications in geoscience. Organized the 4th International Symposium on Machine Learning and Big Data in Geoscience (ISMLG 2023).

Aoife MorrinView profile

Associate Professor

• Biochemical Sensor Development
• Wearable Sensors
• Electrochemical Sensing
• +5 more

Dr. Aoife Morrin is an Associate Professor at the School of Chemical Sciences, Dublin City University (DCU), and Director of the National Centre for Sensor Research (NCSR) at DCU. She leads the 'Sample & Sense' research strand within the Insight Centre for Data Analytics, focusing on biochemical sensor platform development. Her work integrates electrochemical and optical transduction mechanisms with soft responsive materials to create wearable sensors for skin surface applications. She has published over 60 peer-reviewed papers (H-index 29, 4000+ citations), edited a book, and contributed to three book chapters. Dr. Morrin’s research spans wearable sensor formats, skin volatile emission profiling for disease biomarker discovery, and educational technology innovations in chemical education. Her recent publications highlight advancements in mobile phone-based sensors, volatilomic analysis of infections, and green chemistry approaches to sensor fabrication. She actively explores the intersection of analytical chemistry, biomedical diagnostics, and environmental monitoring through printed electronics and flexible sensor platforms. Her work also addresses the integration of digital tools like virtual laboratories and micro-skill badging for chemical sciences education. Dr. Morrin collaborates across disciplines to develop non-invasive diagnostic technologies, including for diabetic foot ulcer infections and skin pH monitoring. She contributes to environmental sensor development for pollutants like PFAS and cooking oil VOCs, as well as emerging applications in honey characterization and aging research via skin volatiles.

Jufan ZhangView profile

Assistant Professor

• Nanopore Manufacturing
• Micro/Nano Manufacturing
• Biomedical Devices
• +3 more

Dr. Jufan Zhang is an Assistant Professor at the School of Mechanical and Materials Engineering, University College Dublin, Ireland. He is also a member of the UCD Centre of Micro/Nano Manufacturing Technology and the SFI I-Form Advanced Manufacturing Research Centre. His research focuses on advanced manufacturing technologies including nanopore arrays, microneedle devices, geometrical waveguide AR displays, and atomic-scale manufacturing. He holds a PhD from Harbin Institute of Technology, China. Education: B.E., M.E., and Ph.D. in Mechanical Engineering from Harbin Institute of Technology, China Professional Roles: Faculty member, Lab Manager, and funded investigator in multiple research centers Research Interests: Manufacturing of large-scale solid-state nanopore arrays for biomedical and renewable energy applications Design of microneedle drug delivery systems Optical waveguide innovations for ultra-thin AR displays Surface texturing for improved joint tribology Atomic-scale manufacturing processes Recent articles highlight advancements in nanopore array applications, laser shock peening for additive manufacturing, and AR display technologies. His work bridges fundamental research with industrial applications through collaborations with companies like Watson Biotech and Changan University. Awards include the Career Development Award (UCD), International Science and Technology Cooperation Base recognitions (Shaanxi and Xi’an provinces), and top downloaded article honors. He actively participates in global conferences and serves on editorial and review boards for journals like Small and International Journal of Advanced Manufacturing Technology . Teaching responsibilities include coordinating modules like Automotive Design and Thermodynamics, with recent teaching awards for curriculum reform. He supervises PhD students and manages over 30 grants totaling €multi-million, including EU and industry partnerships. Lab affiliations include the UCD AI Healthcare Hub and the Una Europa Self-Steering Committee on Future Materials, advancing interdisciplinary research in manufacturing and healthcare.