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Prof. Liam Murphy is a Full Professor of Computer Science & Informatics at University College Dublin (UCD) and Director of the Performance Engineering Laboratory. He holds a B.E. from UCD, M.Sc. and Ph.D. from UC Berkeley. His research focuses on performance engineering of networks, software systems, and multimedia transmissions. He has published over 150 peer-reviewed papers and is an IEEE member and Fellow of the Irish Computer Society. Education: B.E. in Electrical Engineering, UCD (1985) M.Sc. & Ph.D. in Electrical Engineering & Computer Sciences, UC Berkeley (1988, 1992) Research Interests: Dynamic resource allocation in networks Cloud computing efficiency Software performance engineering Wireless multimedia systems Quality of Service (QoS) optimization Recent work emphasizes energy-efficient cloud workflows, multi-objective data center optimization, and decentralized traffic simulation. Grants & Awards: Fellow of the Irish Computer Society (2007) Conference Paper Awards (2004, 2002, 2001) Principal Investigator in multiple funded projects (e.g., EU-funded traffic simulation, cloud resource allocation) Advising & Labs: Directed 24 Ph.D. and 8 M.Sc. students. Leads the Performance Engineering Laboratory (PEL), focusing on distributed systems, cloud efficiency, and network performance. Collaborates on industry-relevant projects like crovan (UCD/DCU campus company). Teaching: Coordinates courses on computer science fundamentals, distributed systems performance, and software engineering at UCD.

• Computer Science
• Networking
• Telecommunications
• +4 more

Conor Ryan is a Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a Science Foundation Ireland-funded Investigator since 2002 and a member of multiple research centres including Lero – the Irish Software Research Centre and the Limerick Digital Cancer Research Centre. His research focuses on Genetic Programming, Grammatical Evolution, and their applications in domains like healthcare analytics, digital circuit design, and financial modeling. He has authored over 250 publications, with recent work emphasizing automated feature selection in medical diagnostics, neural architecture search, and blockchain ecosystems. Teaching includes courses on Foundations of Computer Science and Computer Games Programming. Research interests span evolutionary computation, machine learning, and interdisciplinary applications. Collaborations involve global institutions, reflecting his work's impact across computer science, engineering, and healthcare. His research has addressed challenges in breast cancer diagnosis via genetic algorithms, cryptocurrency volatility prediction using random forests, and automated generation of digital circuits. Ongoing projects explore interpretability in AI, energy-efficient computing, and sustainable transport systems through predictive analytics. Professional memberships include roles in the Centre for Research Training in Foundations of Data Science and the Data-Driven Computer Engineering Research Centre, underscoring his commitment to interdisciplinary innovation.

• Genetic Programming
• Genetic Algorithms
• Grammatical Evolution
• +7 more

Dr. Krishnendu Guha is an Assistant Professor and CONNECT Funded Investigator at the School of Computer Science and Information Technology, University College Cork. His research bridges embedded systems, cybersecurity, and quantum-safe hardware design with AI and bio-inspired strategies. PhD: University of Calcutta (Department of Science and Technology, Government of India) Postdoctoral: University of Florida Past Roles: Research Fellow at Intel India, Visiting Scientist at Indian Statistical Institute, Temporary Assistant Professor at NIT Jamshedpur His research focuses on embedded systems security , real-time security mechanisms , and quantum-safe hardware . He integrates AI (e.g., neural networks) and bio-inspired strategies (e.g., gecko crypsis behavior) into security frameworks for FPGAs and edge platforms. Recent publications highlight trends in blockchain for supply chains , quantum machine learning , secure FPGA architectures , and distributed AI systems . His work addresses energy efficiency, fault detection, and decentralized security in hardware. As a CONNECT Centre member, Dr. Guha contributes to advanced research in reconfigurable systems and cybersecurity. Grants and collaborations span quantum-safe design, cloud FPGA security, and hardware trojan mitigation.

• Embedded Systems
• Cybersecurity
• Artificial Intelligence
• +4 more

John Breslin is a Personal Professor in Electronic Engineering at the College of Science and Engineering, University of Galway, serving as Director of the TechInnovate and AgInnovate programmes. Associated with two Taighde Éireann – Research Ireland Centres, he is a Principal Investigator at Insight Centre for Data Analytics (specializing in data analytics) and a Funded Investigator at VistaMilk (Agri-Technology), while also leading the EDIH Data2Sustain project. With an h-index of 50, over 12,000 citations, and 300+ peer-reviewed publications including seminal books on the Social Semantic Web, he ranks among Ireland's most influential researchers in digital technologies. Breslin's research fundamentally bridges Semantic Web technologies, AI-driven data analytics, and practical innovation. His co-creation of the SIOC framework—implemented across 65,000+ websites by entities like Yahoo and Boeing—demonstrates real-world impact in social data interoperability. Current work leverages blockchain and federated learning for sustainable Agri-Technology through VistaMilk, while his TechInnovate programmes translate academic research into commercial ventures across healthcare, smart manufacturing, and energy systems. Analysis of his 15 most recent publications reveals dominant themes in AI-enhanced security (35% of works), blockchain applications for sustainability (27%), and multimodal AI for healthcare (20%). His team pioneers privacy-preserving techniques for IoT and medical devices, neurosymbolic visual reasoning frameworks, and federated learning architectures addressing data heterogeneity—directly supporting his roles in national research infrastructures like Insight and VistaMilk. John has received several prestigious awards: IIA Net Visionary Award (twice) ITAG Outstanding Contribution to the ICT Sector Award Galway Chamber President’s Award Best Irish-Published Book Award (2020 for Old Ireland in Colour) Multiple Best Paper Awards He leads major research initiatives funded by Taighde Éireann – Research Ireland: Insight Centre for Data Analytics (as Principal Investigator) VistaMilk SFI Research Centre (as Funded Investigator) EDIH Data2Sustain (as Principal Investigator) His entrepreneurial programs TechInnovate and AgInnovate have mentored 200+ startups, securing €50M+ in follow-on funding. Breslin co-founded PorterShed (Galway City Innovation District) and serves on Scale Ireland's Steering Group, creating Ireland's most active regional innovation ecosystem outside Dublin. He maintains active industry partnerships with Vodafone, Boeing, and agricultural cooperatives through VistaMilk's testbed facilities.

• Semantic Web
• Data Analytics
• Artificial Intelligence
• +3 more

Dr. George O'Mahony serves as Head of Department of Computer Science at Munster Technological University (MTU) and is a CONNECT Associate Investigator with Research Ireland. He leads Ireland's Cyber Range infrastructure development and acts as WorldSkills Ireland Expert for Cybersecurity Skill 54, driving national cybersecurity initiatives through academia-industry collaboration. Education: B.E. in Electrical and Electronic Engineering, University College Cork (UCC) Ph.D. in Electrical and Electronic Engineering, University College Cork (UCC), 2021 His research pioneers cyber resilience frameworks for OT/IoT systems, zero-trust architectures, and machine learning applications in anomaly detection. He develops low-complexity security solutions for resource-constrained edge devices, with emphasis on wireless sensor networks, GPS applications, and penetration testing methodologies. His work bridges theoretical innovation with practical infrastructure implementation. Recent publications reveal accelerating focus on quantum-resistant cryptography, MQTT-ZT secure brokers, and unified cyber resilience models. His scholarly output consistently addresses interference detection in wireless networks while expanding into satellite communications security and AI-driven network customization, reflecting strategic adaptation to emerging cyber threats. Research Leadership: CONNECT: Associate Investigator advancing cyber security research NCF Cyber Shock: Co-Principal Investigator Cyber Explore: Principal Investigator at MTU Cyber Range: National infrastructure lead (mobile/cloud) Horizon Telemetry: Core research team member As STEM advocate and Cyber Futures Academy contributor, O'Mahony shapes cybersecurity education through WorldSkills Ireland engagement and industry-focused cyber range deployments that serve academic, governmental, and commercial sectors.

• Cybersecurity
• Cyber Resilience
• Network Security
• +8 more

Saim Ghafoor is a Lecturer in the Department of Computing at Atlantic Technological University, Ireland. He holds a PhD in Engineering and Technology from University College Cork (2018), an MEng from Hanyang University (2010), and a BEng in Computer Systems Engineering from Mehran University (2005). His research focuses on advanced wireless communications, including Terahertz networks, green machine learning, and emergency communication systems. He is actively involved in the review process of top-tier journals and conferences. Education: PhD, University College Cork, 2018 MEng, Hanyang University, 2010 BEng, Mehran University, 2005 His work spans Terahertz communications , intelligent radio systems , and 5G/6G network protocols , with contributions to cybersecurity and automation. Notable outputs include a 2023 book on Green Machine Learning Protocols and a 2020 IEEE Communications Surveys review on Terahertz MAC protocols. He leads the WiSAR research group and serves as Associate Editor for Elsevier's Computers & Electrical Engineering . Grants & Labs: Active in the WiSAR (Wireless Sensor Applied Research Gateway) unit at ATU. Collaborates on projects involving THz networks and disaster response systems.

• Terahertz Communications
• Intelligent Radio Communications
• Green Machine Learning
• +7 more

Emanuel Popovici is a Senior Lecturer in Electrical and Electronic Engineering at University College Cork (UCC), Ireland. He holds a Dipl. Ing. in Computer Engineering from the University Politehnica Timisoara, Romania, and a PhD in Microelectronics from UCC. His research focuses on AI at the edge, low-power embedded systems, and secure computing, with applications in healthcare, energy, and IoT. Notable projects include award-winning work in neonatal EEG monitoring, smart beehive systems, and energy-efficient wireless nodes. He has authored over 250 papers and received prestigious awards like the Qualcomm Faculty Award (2024) and three IEEE/IBM Smarter Planet Challenge titles. Education: Dipl. Ing. in Computer Engineering, University Politehnica Timisoara (Hardware Design focus) PhD in Microelectronics, UCC (National Microelectronics Research Centre) Research interests span AI-driven hardware, secure communications, and interdisciplinary collaborations across engineering, medicine, and environmental science. His work emphasizes practical solutions for real-world challenges, such as energy-efficient sensor networks and medical diagnostic tools. Scientific achievements include over 50 awards, including the Reed and Mallick Medal (2020) for urban planning contributions. His lab pioneered innovations like the neonatal EEG sonification system and blockchain-based IoT security frameworks. Collaborative projects span disciplines like anatomy, medicine, physics, and business. His group's work on ultra-low-power wireless nodes and FPGA-based cryptographic processors highlights their focus on energy efficiency and reliability.

• AI at the Edge
• Low Power Embedded Systems
• Reliable and Secure Computing
• +8 more

Professor Joe Carthy is a Full Professor at the School of Computer Science and Informatics, University College Dublin (UCD). He has served as Dean of Science at UCD since 2011, following roles as Head of the School of Computer Science and Informatics (2007–2011). With over 30 years at UCD, he holds a BSc and PhD in Computer Science and a Graduate Diploma in University Teaching and Learning. His research focuses on cybersecurity, digital forensics, and social media analysis, particularly investigating extremist online communities and cloud forensics. He has secured €5.4M in research funding and established the UCD Centre for Cybersecurity, collaborating with Europol, Interpol, and UNODC. Professor Carthy has supervised 14 PhD and 20 MSc students and contributed to education projects with €1.8M in funding. He chairs CyberSafeIreland and previously led Camara, a nonprofit distributing refurbished computers to schools globally. Education: BSc in Computer Science, UCD PhD in Computer Science, UCD HDip University Teaching & Learning, UCD Research Interests: Cybersecurity, digital forensics, social media analysis, incident analysis, lexical chaining, and news story segmentation. Professional Roles: Founding Director, UCD Centre for Cybersecurity Board Member, CyberSafeIreland Former Director/Chair, Camara Teaching: Coordinates modules on Information Security, Case Studies, and leadership/management courses. Labs/Teams: Leads the UCD Centre for Cybersecurity, fostering collaborations with law enforcement and international bodies. His 127+ publications span cybersecurity, digital forensics, and social media dynamics, with recent work addressing far-right activity on Telegram and algorithmic radicalization on YouTube. Grants and advisory roles highlight his impact on both academic and societal challenges.

• Cybersecurity
• Digital Forensics
• Cybercrime Investigation
• +5 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.

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

Assoc Professor Eimear Byrne is an academic at the School of Mathematics and Statistics, University College Dublin (UCD). She holds editorial roles, including membership on the editorial board of the Advances in the Mathematics of Communications . Her research focuses on algebraic coding theory, network coding, rank metric codes, and applications in wireless communications. She has been involved in grants such as the Discrete Mathematical Approach for Power Saving Coding Scheme of Wireless Body Area Networks (funded by Japan Society for the Promotion of Science) and the Renewable energy extraction from volcanoes project. Education: B.A. in Mathematics from Trinity College Dublin, M.Sc. from UCD, and Ph.D. from University College Cork (UCC). Academic positions include College Lecturer at UCD (2003–present), Postdoctoral Fellowships at National University of Ireland, Maynooth (2002–2003), and University College Cork (2000–2001), with a Visiting Professorship at the University of Notre Dame (2004). Research interests span algebraic coding theory, including codes over rings, linear codes, APN functions, and applications in network and wireless communications. She has supervised a PhD student (external advisor, 2015) and actively contributes to professional activities like peer-review for IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and others. Teaching includes modules like Galois Theory , Coding Theory , Cryptography , Matrix Algebra , and Rank Metric Codes . Her work bridges theoretical mathematics with practical applications in information security and distributed computing.

• Algebraic Coding Theory
• Network Coding
• Rank Metric Codes
• +5 more

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +6 more

Prof. Tahar Kechadi is a Principal Investigator at the Insight Centre for Data Analytics , specializing in Machine Learning & Statistics and Optimisation & Decision Analytics . His research spans interdisciplinary domains including agriculture, healthcare, and cybersecurity. University : Insight Centre for Data Analytics Role : Principal Investigator Ranks : Professor His current research focuses on applying machine learning to smart agriculture (e.g., crop yield prediction, data engineering), blockchain technologies (e.g., energy trading, e-voting), and privacy-preserving systems in healthcare and cybersecurity. Publications highlight advancements in multi-modal analysis , deep learning architectures , and game-theoretic clustering . Recent work explores data contamination in LLMs , privacy-aware blockchain systems , and distributed reputation management . His team develops tools for agro-climate modeling , medical diagnostics , and cloud forensic readiness . Contact: tahar.kechadi@insight-centre.org

• Machine Learning
• Data Analytics
• Blockchain Technology
• +7 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.

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

Dr. Martin Collier is an Associate Professor in the School of Electronic Engineering at Dublin City University and director of the Entwine Centre, focusing on IoT infrastructure. His research spans data and computer communications, network security, energy-efficient networking, and SDN/NFV. He leads projects like Horizon 2020's INPUT and FP7's ECONET, collaborating with IBM on data centre network design. His work emphasizes switch fabrics, green routers, and optical technologies. Research Interests: Switching/Routing, SDN, NFV, IoT, Energy Efficiency, Data Centre Networks. Recent Projects: INPUT (SDN/NFV personal cloud services), ECONET (energy efficiency), and IBM-funded data centre design. Laboratory activities include NetFPGA-based testing and SDN implementations. Teaching: Modules include Broadband Networks (EE552), Network Programming (EE562), and Communications Theory (EE450). Supervises final-year and MEng projects. Labs/Teams: Switching & Systems Lab (NetFPGA testbed), Entwine Centre (IoT infrastructure).

• Data Communications
• Network Security
• Software-Defined Networking (SDN)
• +4 more

Dr. Xiaojun Wang is an Associate Professor at the School of Electronic Engineering, Dublin City University (DCU). He holds a BEng and MEng from Beijing University of Posts and Telecommunications (BUPT) and a PhD from Staffordshire University (UK). His research focuses on energy-efficient networking, hardware acceleration for packet classification/deep inspection, and cryptography algorithms. He has been instrumental in establishing China-Ireland academic collaborations, including the China-Ireland International Conference on Information and Communications Technologies (CIICT), and coordinated a successful joint Telecommunications Engineering program with Wuhan University (2006–2012). He is also a member of DCU's Entwine Research Centre. Key roles include Head of China Affairs at DCU (2002–2007), contributing to institutional partnerships. His technical work spans green energy solutions for networks, quantum computing protocols, and hardware-software co-design for cryptographic systems. He has led projects on edge computing security, vehicular communication optimization, and blockchain-based trust frameworks. Educations: BEng in Computer & Communications, BUPT (1984) MEng in Computer Applications, BUPT (1987) PhD in Engineering, Staffordshire University (1992) Affiliations: Member of Entwine Research Centre Former Head of China Affairs, DCU His recent publications emphasize secure edge computing, quantum steganography, and 5G resource orchestration. He has pioneered energy-efficient router architectures and contributed to standards for vehicular networks and blockchain trust systems.

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +4 more