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**Jerry Horgan** is a Part-Time Lecturer (night-time) at the Department of Computing and Mathematics within the Walton Institute for Information and Communications Systems Science . He leads the IT Services Team (Infrastructure Group) and oversees the Research Data Centre. His expertise includes designing and securing research testbeds, satellite communications, quantum algorithms, and cybersecurity. He teaches Automated Cloud Services and Networks Infrastructure. Education: Masters Degree in IT Management, Maynooth University (2013–2014) Masters Degree in Communications Software (2006–2008) Bachelors Degree in Applied Computing (1999–2002) National Certificate in Industrial Computing (1997–1999) Research Interests: Quantum Algorithms, Quantum Communications, Satellite Communications, Cybersecurity, Testbeds, and Data Centre Management. His work aligns with UN Sustainable Development Goals, particularly in advancing secure and sustainable communication infrastructure. Technical Leadership: Manages infrastructure for research testbeds, cloud services, and IoT projects. His recent articles focus on quantum communication protocols, satellite-based security systems, and post-quantum encryption for embedded devices. Grants & Labs: Secured funding for research testbeds and platforms. Active in the IT Services Team and Research Data Centre, contributing to software-defined infrastructure and cloud service deployments.

• Quantum Communications
• Quantum Algorithms
• Satellite Communications
• +3 more

David Malone is a Professor and Director of the Hamilton Institute at Maynooth University's Faculty of Science & Engineering, Department of Mathematics & Statistics. He received his BA(mod), MSc and PhD degrees in mathematics from Trinity College Dublin in 1996, 1997 and 2000 respectively. During his postgraduate studies, he became a member of the FreeBSD development team. After working at Corvil Networks, he joined the Dublin Institute of Technology as a senior researcher in 2001 before moving to Maynooth University's Hamilton Institute in 2004. His research interests span mathematical models of wireless networking, network measurement, IPv6, WiFi, PLC, password use, security, 802.11 protocols, Internet measurement, time keeping, and the evolution of the Irish secondary education system. Malone has made significant contributions to networking literature and is the co-author of O'Reilly's 'IPv6 Network Administration'. His recent publications demonstrate strong activity across multiple domains including password security, network measurement, IPv6 deployment, and authentication systems. Malone's work shows a consistent focus on practical networking problems with theoretical foundations in mathematics. His research has evolved from fundamental mathematical work to applied networking research with significant real-world impact. As an academic supervisor, Malone has guided numerous PhD and Master's students through their research, with recent graduates including Hazel Murray (PhD, 2021), Peter Keane (MSc, 2020), and Ashley Sheil (PhD, 2024). His supervision record spans topics in networking, security, and mathematical applications. Malone maintains active involvement in the Hamilton Institute, where he directs research activities focusing on mathematical and statistical approaches to complex systems. His work bridges theoretical mathematics with practical networking applications, creating a unique interdisciplinary research profile.

• Mathematical modeling of wireless networking
• Network measurement
• IPv6
• +8 more

Dr. Pavel Gladyshev is an Associate Professor at the School of Computer Science, University College Dublin (UCD), Ireland. He leads the Digital Forensics Investigation Research Laboratory (DigitalFIRE) and specializes in digital forensics, cybercrime investigation, and information systems security. He established UCD's MSc programs in Forensic Computing and Cybercrime Investigation, focusing on law enforcement and private sector training. His research includes forensic technology automation, big data analysis in forensics, and human-machine interaction in investigations. Educations: Diploma in Computer Systems Engineering, Chelyabinsk State Technical University Master of Science in Computer Science (Research), UCD Doctor of Philosophy in Computer Science (Digital Forensics), UCD Research Interests: Dr. Gladyshev’s work spans forensic technology development, cybercrime analysis, and legal collaboration frameworks. He focuses on advancing investigative tools like automated inference systems, MLAT processes, and forensic device interoperability. Notable projects include the 'Decision-theoretic file carving' and 'Cryptopometry' methodologies. Grants & Leadership: Principal Investigator for the Horizon 2020-funded AIDA project (2020–2023) Recipient of UCD College of Science Teaching Award (2020–2025) Chair of CDFS Standards Committee (2012–2014) Labs & Collaborations: The DigitalFIRE Lab develops cutting-edge tools like the 'Apache NiFi data pipeline' for forensic workflows. Gladyshev collaborates with INTERPOL on IT crime strategies and chairs international conferences (e.g., ICDF2C, DFRWS EU).

• Digital Forensics
• Cybercrime Investigation
• Information Systems Security
• +3 more

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.

• Formal Methods
• Distributed Systems
• Real-time Systems
• +2 more

Meghana Kshirsagar serves as Assistant Professor in the Department of Computer Science & Information Systems at the University of Limerick, with dual appointments at Lero – the Irish Research Centre for Software and the Limerick Digital Cancer Research Centre. Her interdisciplinary work bridges computer science with healthcare innovation, focusing on real-world applications of advanced computational techniques. Her research spans Machine Learning, Artificial Intelligence, Evolutionary Computation, Blockchain, Digital Health, Large Language Models, and Digital Twins. She develops novel algorithms like grammatical evolution for hyperparameter optimization and blockchain frameworks for secure healthcare data sharing, with applications in cancer risk stratification, hip fracture pathway modeling, and financial portfolio optimization. Her work consistently addresses ethical AI implementation and sustainable computing practices. Analysis of her 52+ publications (2011-2025) reveals three dominant trends: (1) Evolutionary computation techniques for symbolic regression and digital circuit design, (2) Blockchain applications in healthcare data security and scientific collaboration, and (3) Responsible AI implementations in medical diagnostics and finance. Her recent focus emphasizes mitigating algorithmic bias in cancer diagnostics and sustainable hyperparameter optimization. As an active member of Lero and the Limerick Digital Cancer Research Centre, she collaborates with clinicians, data scientists, and industry partners to translate research into clinical tools. Her work contributes to UN Sustainable Development Goals through digital health innovations that improve healthcare accessibility and efficiency.

• Machine Learning
• Artificial Intelligence
• Evolutionary Computation
• +4 more

Professor Gary McGuire is a Full Professor in the School of Mathematics and Statistics at University College Dublin (UCD), specializing in discrete mathematics, number theory, algebraic geometry, and cryptography. He holds a PhD from the California Institute of Technology and has been a central figure in advancing research in finite fields and their applications. BSc, University College Dublin MSc, University College Dublin PhD, California Institute of Technology His research focuses on algebraic structures over finite fields, including Galois theory, permutation polynomials, error-correcting codes, and quantum codes. He has made significant contributions to the understanding of supersingular curves, L-polynomials, and lattice-based cryptanalysis. His work spans theoretical advances and practical applications in cryptography and computational mathematics. The recent publications reflect a strong trend in algebraic and computational number theory, with emphasis on Galois groups of linearized polynomials, quantum code construction, and discrete logarithm algorithms. His work often involves deep connections between algebraic geometry and coding theory, particularly in the construction of MDS and quantum codes from generalized monomial-Cartesian and algebraic geometry codes. Notable scientific awards and recognitions include: Best Paper Award at CRYPTO 2013 Invited Speaker at the 12th International Conference on Finite Fields (2015) Invited Speaker at the 25th British Combinatorial Conference (2015) Invited Session Speaker at the AAAS Annual Meeting (2014) Speaker at multiple international workshops on finite fields, cryptography, and polynomials Professor McGuire actively supervises PhD students and has coordinated key modules such as Galois Theory, Cryptography, and Numbers & Functions. He has secured research grants, including one on the simulation of photo-electronic excitation in nanofilms. His most famous contribution is the proof that no 16-clue Sudoku puzzle exists, achieved through a novel hitting set enumeration algorithm. He is a principal investigator in computational and theoretical mathematics with ongoing collaborations across Europe. He is a member of research teams focused on finite field applications, cryptographic protocols, and algebraic coding theory. His lab-like collaborative environment involves work with postdocs and researchers on projects related to discrete logarithm computation, polynomial factorization, and quantum code design.

• Discrete Mathematics
• Number Theory
• Algebraic Geometry
• +10 more

Professor Thomas Newe is a cybersecurity expert at the University of Limerick's Department of Electronic & Computer Engineering. He leads the department since 2025 and participates in national research centers like Lero and the Centre for Robotics and Intelligent Systems. He also serves as Adjunct Professor at Munster Technological University and contributes to Cyber Ireland and CyberSkills initiatives. Education: PhD in Formal Logics for Security Protocol Verification MEng in Security Protocol Design BEng in Computer Engineering NCEA Diploma in Electronic Engineering His research spans cyber security for data, networks, operational technology (OT), and smart robotics. Key areas include IoT security , formal verification methods , encryption algorithms , and remote control operation security . Teaching focuses on Cyber Security for IoT , Security Protocols , and Cryptography . Recent publications explore AIoT standards , Zero Trust IoT , and IoE security engineering . He has contributed to over 190 academic works and graduated numerous PhD students. Academic Leadership: Head of Department, University of Limerick (2025–present) Board Member, Cyber Ireland (2019–present) Founding Member, CyberSkills Initiative Professor Newe has held academic roles from Junior Lecturer to Senior Lecturer at University of Limerick, with industry experience in software design and testing. His work aligns with UN Sustainable Development Goals for Quality Education and Industry Innovation .

• Cyber Security
• Data Security
• Network Security
• +10 more

Muzaffar Rao serves as an Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His academic base is located at C0-065 on campus, with primary contact via muzaffar.rao@ul.ie. His research spans critical cybersecurity domains with emphasis on IoT security infrastructure , FPGA-based hardware security solutions , and operational technology protection . Specialized expertise includes zero-trust architectures for smart manufacturing, intrusion detection for autonomous systems, and aviation cybersecurity. His work bridges theoretical cryptography with industrial applications through LabVIEW-FPGA implementations. Analysis of his 15 most recent publications reveals a consistent trajectory toward real-time security processing for emerging technologies. Key thematic clusters include: (1) Hardware-accelerated cryptography for resource-constrained IoT devices, (2) Zero-trust frameworks for Industry 4.0 environments, and (3) Aviation/maritime cybersecurity solutions addressing physical-layer threats. His methodology prominently features FPGA-based prototyping and machine learning integration. Rao's technical leadership manifests in developing practical security implementations rather than theoretical frameworks. His publications consistently address implementation challenges in constrained environments, with recent work focusing on latency-sensitive applications like autonomous vehicles and aviation systems. The progression from cryptographic core development (2012-2018) to system-level security architectures (2019-2025) demonstrates evolving research maturity. His educational contributions include pioneering cyber range development for OT/IT security training, directly addressing workforce skill gaps in critical infrastructure protection. The absence of formal award mentions suggests industry-focused rather than academically decorated output, with impact measured through applied solutions rather than traditional academic recognition. Rao maintains active research in laboratory environments focused on hardware security prototyping, particularly utilizing FPGA platforms for real-world security validation. His work with LabVIEW middleware indicates strong industry collaboration potential, especially in manufacturing and transportation sectors where safety-critical systems demand robust security integration.

• Cybersecurity
• IoT Security
• FPGA-Based Security Systems
• +3 more

Muhammad Yahya is a researcher at Nanjing University of Aeronautics and Astronautics with affiliations to institutions like Universiti Malaysia Terengganu and Norwegian University of Life Sciences. His work bridges optical network-on-chip (ONoC) and cybersecurity domains. H-index: 21 Total citations: 1,400+ Research Interests: Focus on photonic interconnects for manycore processors, heuristic optimization algorithms for crosstalk reduction, and security vulnerabilities in optical networks. Key projects include: Designing non-blocking optical switches with reduced power consumption Developing DPA-resistant cryptographic architectures for lightweight ciphers Creating heuristic fusion mapping algorithms combining PSO and SA Publication Trends: Recent articles (2018-2023) demonstrate expertise in optical router design , fault analysis of encryption protocols, and machine learning applications to network optimization. Technical Contributions: Invented the PSO_SA algorithm for crosstalk optimization, HoneyComb ROS reconfigurable switches, and two-domain MATLAB frameworks for computational mathematics.

• Optical Network-on-Chip (ONoC)
• Cybersecurity
• Heuristic Optimization Algorithms
• +2 more

Aamir Akbar serves as an Assistant Professor in the Department of Computer Science & Information Systems at Abdul Wali Khan University Mardan (AWKUM), where he also co-directs both the AWKUM AI Lab and AWKUM Robotics initiatives while coordinating final year projects. His academic journey culminated in a PhD from Aston University, Birmingham, UK, with research focused on energy-efficient methods for hybrid mobile cloud computing. His educational background includes a PhD in Computer Science from Aston University (2015-2019, awarded February 2020), where his dissertation explored energy-efficient approaches for hybrid mobile cloud computing systems. Dr. Akbar's research spans multiple cutting-edge domains in computer science, with particular emphasis on Artificial Intelligence , Cloud and Fog Computing , Internet of Things , and Software Defined Networks . His multidisciplinary approach combines evolutionary computation, multi-objective optimization, and machine learning to develop resource-efficient intelligent systems. His work frequently addresses challenges in Cyber-Physical Systems, Mobile-Cloud Computing, and IoT/IoV applications, demonstrating strong practical relevance to real-world problems. Analysis of his recent publications (2021-2024) reveals a clear research trajectory toward increasingly sophisticated AI applications in networking and distributed systems. His work shows strong focus on reliability, energy efficiency, and security across multiple domains including medical IoT, smart cities, and industrial automation. The growing citation impact (612 total citations, h-index: 14) demonstrates increasing recognition of his contributions to these fields. Dr. Akbar maintains active presence in the research community with 19 total publications showing accelerating output in recent years (6 in 2021, 2 in 2022, 5 in 2023, and 2 in 2024). His Google Scholar profile reflects substantial impact with an h-index of 14 and i10-index of 16. As an educator and researcher, Dr. Akbar brings both academic rigor and industry experience to his role. His technical expertise spans the full stack of modern computing systems, from frontend development (HTML, CSS, Angular, React) through backend frameworks (Flask, Django, Node.js) to database systems (MySQL, PostgreSQL, MongoDB) and cloud infrastructure (AWS, Kubernetes, Docker). This comprehensive skill set enables him to bridge theoretical research with practical implementation. He leads research initiatives through the AWKUM AI Lab and AWKUM Robotics, providing students with opportunities to engage in cutting-edge projects that combine theoretical foundations with real-world applications. His GitHub activity shows ongoing engagement with AI and systems development projects, including repositories focused on neural networks, Python programming, and network simulation.

• Artificial Intelligence
• Cloud Computing
• Internet of Things
• +7 more

Kapal Dev is an Assistant Professor at the Department of Computer Science, Munster Technological University (MTU), Ireland, where he has been serving since 2021. He also holds the position of Funded Investigator at CONNECT, Trinity College Dublin, one of Europe's top research centers funded by Science Foundation Ireland. Previously, he was a Postdoctoral Research Fellow with the CONNECT Centre at Trinity College Dublin and worked as a 5G Junior Consultant and Engineer at Altran Italia S.p.A. in Milan, Italy. Dr. Dev's research focuses on Wireless Networks, Security and Privacy, Agentic AI, and Industry 5.0 applications. His work centers on designing effective and efficient communication network protocols for 5G and 6G networks, with emphasis on computational complexity reduction and energy efficiency improvements. His research also addresses data and model privacy preservation, which is increasingly critical with the proliferation of AI services. His recent publications demonstrate strong trends in next-generation wireless networks, particularly 6G systems, UAV communications, federated learning, quantum networking, and AI security applications. His work bridges theoretical innovation with practical implementations for industry 4.0/5.0 applications. Dr. Dev has received numerous prestigious awards including the IEEE ComSoc EMEA Outstanding Young Researcher 2022, The Tom Brazil Excellence in Research Award 2023, and membership in the Global Young Academy (GYA) 2024 (top 45 researchers worldwide). He has also been recognized with the Best workshop Paper award at IEEE WCNC 2024 and the IEEE CTSoc CCN TC Outstanding Service Award 2024. IEEE ComSoc EMEA Outstanding Young Researcher 2022 The Tom Brazil Excellence in Research Award 2023 Global Young Academy (GYA) 2024 membership Best workshop Paper award at IEEE WCNC 2024 IEEE CTSoc CCN TC Outstanding Service Award 2024 2022 Irish Research Council Research Ally Prize Dr. Dev has supervised more than 25 master's and PhD students and secured over €1.5 million in research funding as Principal Investigator for Horizon Europe MSCA Staff exchange, Erasmus+ International Credit Mobility, and Capacity Building for Higher Education projects. He actively contributes to standardization efforts as a working group member of P1954 and serves as founding chair of the IEEE ComSoc special interest group on Industrial Communication Networks. His editorial service spans numerous high-impact journals including IEEE Transactions on Communications and Nature Scientific Reports.

• Wireless Networks
• Security and Privacy
• Agentic AI
• +7 more

Neil Hurley is an Associate Professor and Head of School in the School of Computer Science at University College Dublin. He holds a BSc and MSc from University College Dublin and a PhD from Trinity College Dublin. Before academia, he worked at the Hitachi Dublin Laboratory from 1989 to 1999, leading research in parallel computing and knowledge-based systems. He joined UCD in 1999 and founded the Information Hiding Laboratory in 2001, focusing on digital content security. His research spans recommender systems, social network analysis, high-performance computing, and data hiding technologies. He has secured over €1 million in research funding from agencies like Enterprise Ireland and the EU. His teaching includes coordinating modules on Artificial Intelligence, Recommender Systems, and Computational Science. He has reviewed for journals such as IEEE Transactions on Image Processing and serves on the EMPS Graduate School Board. His recent work emphasizes scalable recommendation algorithms, privacy-preserving distributed systems, and strategic network analysis.

• Data Analytics
• Social Network Analysis
• Recommender Systems
• +4 more

Miguel Bustamante is an Associate Professor at the School of Mathematics and Statistics , University College Dublin (UCD). He holds roles such as Head of Research and Innovation (2013–2014), Head of Subject in Applied and Computational Mathematics (2018–2021), and is an elected member of UCD's Academic Council (2016–2018). His research focuses on turbulence, nonlinear systems, fluid dynamics, and wave interactions , with applications in plasmas, quantum superfluids, and industrial mathematics. He has collaborated internationally, including visits to institutions like the Chinese Academy of Sciences and the Fields Institute. Research Interests: Turbulence and extreme events in fluids Nonlinear energy transfer mechanisms (e.g., precession resonance) Applications in water waves, plasmas, and atmospheric dynamics Mathematical biology and industrial problem-solving Awards & Recognition: UCD Teaching and Learning Award (2020) Highest-viewed paper in Fluids (2021) Invited speaker at international conferences (e.g., British Applied Mathematics Colloquium) Professional Activities: Member of EUROMECH and the Irish Mathematical Society Reviewer for multiple funding bodies (NSERC, FWF-Austria, etc.) Organizer of the 2nd European Fluid Dynamics Conference (2025)

• Turbulence
• Nonlinear Systems
• Fluid Dynamics
• +4 more

Madhusanka Liyanage is an Associate Professor/Ad Astra Fellow and Director of the Network Softwarization and Security Labs (NETSLAB) at University College Dublin's School of Computer Science. He holds adjunct and honorary professorships at the University of Oulu and universities in Sri Lanka. His research focuses on network security, 5G/6G technologies, blockchain, and AI-driven systems. He has authored/co-authored over 250 publications, secured €10M+ in research funding, and led major projects like the EU Horizon Europe initiatives. Notable awards include the 2020 IEEE ComSoc Outstanding Young Researcher Award and recognition as a World's Top 2% Scientist (2020–2024). Education: B.Sc. (First Class Honours) from University of Moratuwa (2009), M.Eng. (Asian Institute of Technology, 2011), M.Sc. (University of Nice Sophia Antipolis, 2011), D.Sc. (University of Oulu, 2016) Research Interests: 5G/6G, Blockchain, AI/ML, Federated Learning, IoT, Network Slicing His work spans security orchestration, quantum-resistant cryptography, and smart grid innovations. He has advised 24+ students, secured grants from EU, IRC, and industry partners, and contributed to standards via ENISA consultancy. Current projects include CONFIDENTIAL6G and ROBUST-6G, addressing privacy and security in next-gen networks.

• Network Security
• 5G
• 6G
• +4 more

Chris Bleakley is a Professor at the School of Computer Science, University College Dublin (UCD). His research focuses on pervasive computing, indoor positioning systems, and networked embedded systems. He has secured over €2 million in research funding as PI, supervised 12 PhD and 4 MSc students, and authored 1 book and numerous journal/conference papers. Prior to UCD, he held roles as VP Engineering at Massana Ltd, Senior Researcher at Broadcom Eireann, and IT consultant with Accenture. He holds a PhD in Electronic Engineering from Dublin City University and a BSc in Computer Science from Queen's University Belfast. Professional Roles: Associate Editor of Electronics Letters, Senior IEEE Member, ACM Member. Former Head of School of Computer Science at UCD (2019–2022). Research Interests: Indoor positioning (ultrasonic/WiFi), embedded systems, sensor networks, and algorithmic history. Key applications include smart agriculture, biomedical devices, and environmental monitoring. Grants: Includes projects like WiPhyLoc8 (WiFi positioning), EEDSP (embedded health systems), and MobiFit (sports monitoring). Over 18 grants secured between 2004–2022. Education: PhD (1995, DCU), BSc (1st class, Queen's University Belfast). Notable Work: Developed high-accuracy indoor positioning systems using ultrasonic and WiFi technologies. Authored Poems That Solve Puzzles , a popular science book on algorithm history.

• Pervasive Computing
• Indoor Positioning Systems
• Networked Embedded Systems
• +3 more