Find Academic Supervisors

• Composite Materials
• Materials Science
• Tribology
• +5 more

Aswani Kumar Bandaru is an Assistant Professor at the School of Engineering, University of Limerick. His research focuses on composite materials, particularly their design, manufacturing, and performance under various loading conditions. Key areas include the development of lightweight composites for body armor, tribological properties of PTFE composites, and high strain rate analysis of thermoplastic composites. He has pioneered work on hybrid composites using Kevlar and basalt fibers, investigating their ballistic impact resistance and mechanical behavior under extreme conditions. His expertise spans material characterization techniques, including thermal, mechanical, and tribological testing. Current projects involve the application of PTFE-reinforced composites in domestic applications like floor panels and doors. He employs both experimental and numerical methods, such as finite element analysis and computational modeling, to study progressive damage in composites under impact and high-strain-rate loading. Bandaru’s work contributes to UN Sustainable Development Goals by advancing sustainable material systems and improving energy efficiency through lightweight composites. Notable collaborations include studies on laser-assisted tape placement (LATP) for composite manufacturing and recycling strategies for composite waste.

• Structural Dynamics
• Wind Energy Systems
• Renewable Energy
• +4 more

Dr. Breiffni Fitzgerald is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at Trinity College Dublin (TCD), where he also serves as a Fellow. He holds the senior role of Director of Postgraduate Teaching and Learning for TCD's School of Engineering, overseeing doctoral education strategy and postgraduate policy development. His research focuses on structural dynamics, wind energy systems, and machine learning applications to enhance wind turbine performance and resilience. He has authored over 50 peer-reviewed publications and serves as an editor for Wind Energy . Dr. Fitzgerald's engineering credentials include Chartered Engineer status from both the Institution of Engineers of Ireland and ASCE. He has received awards such as the 2023 TCD Teaching Excellence Award and the 2024 IStructE Research into Practice Award. His projects emphasize advanced control systems for wind farms, structural health monitoring, and offshore wind energy innovation. His recent work includes developing TMDI (Tuned Mass Damper Inerter) systems for vibration control, machine learning models for blade deformation prediction, and analyzing wind-wave misalignment impacts in Irish coastal zones. Collaborative initiatives like the MeLodiC project aim to optimize wind farm performance using AI-driven control algorithms. Key Projects: Machine Learning for Wind Farm Aerodynamics and Control (MeLodiC) - funded by SFI Data-Driven Digital Twin of Wind Farms (TwinFarm) - SEAI-funded REMOTE-WIND: Drone-Based Monitoring - SEAI-funded Dr. Fitzgerald's research bridges theoretical advancements with practical industry applications, addressing challenges in offshore wind energy reliability and operational efficiency.

Kieran HerleyView profile

Lecturer

• Parallel Algorithms
• Distributed Computing
• Multicast Routing
• +2 more

Dr. Kieran Herley is a Lecturer in the School of Computer Science and Information Technology at University College Cork. Educated at UCC and Cornell University, he has taught at UCC since 1990. His research centers on parallel and distributed computing, algorithm design, and network routing. His key interests include multicast routing on mesh networks, shared memory implementation, and comparative analysis of parallel computation models like BSP and LogP. Dr. Herley's work addresses fundamental challenges in deterministic algorithms and network efficiency for high-performance systems. Publications highlight innovations in parallel backtrack search, shared memory architectures, and communication models. Consistent themes include optimization of distributed algorithms and theoretical frameworks for parallel computing. Dr. Herley teaches courses on algorithms, databases, and compilation. He has served on program committees for Euro-Par and ESA conferences, contributing to advancements in parallel computing methodologies.

• Numerical Linear Algebra
• Ill-posed Problems
• Krylov Subspace Methods
• +2 more

Kirk Soodhalter is the Ussher Assistant Professor in Numerical Analysis at the School of Mathematics, Trinity College Dublin. His research focuses on numerical linear algebra, ill-posed problems, Krylov subspace methods, and high-performance computing applications. He can be reached at ksoodha@maths.tcd.ie and is based in Office 244 of the Llyod Building. His work integrates advanced computational techniques with applications in astrophysics, fluid dynamics, and quantum computing. Research Interests: His primary areas include developing efficient iterative methods for large-scale linear systems, particularly those arising in PDEs and quantum algorithms. He explores Krylov subspace recycling, preconditioning strategies, and sparse grid sampling to address challenges in numerical stability and computational efficiency. Publications: Recent work demonstrates contributions to quantum super-Krylov methods for ground state estimation, fast solutions for Sylvester-structured systems in astrophysics, and hybrid iterative techniques for ill-posed problems. His articles often emphasize high-performance computing frameworks and their practical implementations. Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: No student advisees or grant details listed. His research is primarily conducted through Trinity College Dublin's School of Mathematics infrastructure.

Tania MalikView profile

Lecturer

• High-Performance Heterogeneous Computing
• Parallel and Distributed Computing
• Performance Optimization
• +3 more

Dr. Tania Malik serves as an Assistant Lecturer in the School of Informatics and Cybersecurity at Technological University Dublin (TU Dublin). She holds a PhD from University College Dublin (UCD) earned in 2017 under the prestigious Irish Research Council Enterprise Partnership Scheme (IRC-EPS) award, establishing her expertise in high-performance computing and related disciplines. Her academic foundation includes doctoral research at University College Dublin, where she was supported by competitive fellowship funding. PhD, University College Dublin (UCD), 2017 (IRC-EPS award) Dr. Malik's research focuses on optimizing computational systems for modern data-intensive applications. Her core interests span High-Performance Heterogeneous Computing, Parallel and Distributed Computing, Performance Optimization, Energy-Efficient Computing, High-Performance Big Data Analytics, and HPC for Machine Learning. She investigates techniques to enhance computational efficiency while reducing energy consumption in large-scale systems, with direct applications in machine learning and big data processing pipelines. Her scholarly recognition includes competitive fellowship support for doctoral research. Irish Research Council Enterprise Partnership Scheme (IRC-EPS) award With extensive experience across Irish and international institutions—including University College Dublin, Dublin City University, National College of Ireland, COMSATS, and NUST Pakistan—Dr. Malik has cultivated significant industry partnerships with Fidelity, IBM, Whizz Systems USA, PSEB, and PYB. Her research program has secured competitive funding from the Irish Research Council (IRC), Science Foundation Ireland (SFI), and European Cooperation in Science and Technology (e-Cost). She actively engages in teaching, student mentorship, and industry collaboration within her academic role. Dr. Malik also contributes to diversity initiatives through active membership in Women in Technology and Science Ireland (WITS), Women in High-Performance Computing (WHPC), Women Leaders in Higher Education (WLHE), Women in Technology United (WITU), and UCD's Women@CompSci group.

Muzaffar RaoView profile

Associate Professor

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

Karl RinneView profile

Associate Professor

• Power Electronics
• Digital Control Systems
• Integrated Circuits
• +2 more

Karl Rinne is an Associate Professor in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. His role involves research and education in advanced electronic systems, with a focus on integrated power solutions and digital control methodologies. He operates within the Faculty of Science and Engineering, contributing to the university's expertise in high-efficiency energy conversion technologies. His research centers on power electronics, digital control systems, integrated circuits, switched-mode power converters, and energy conversion. Key themes include the development of low-latency switch drivers, galvanically isolated circuits, and adaptive control algorithms for power management. His work emphasizes miniaturization, efficiency optimization, and robustness in high-voltage applications. Recent publications (2018–2025) demonstrate a strong focus on integrated power devices, digital controllers, and isolation techniques. Trends include CMOS-integrated transformers, mixed-core inductors, and reconfigurable control systems. Dominant subfields are gate drivers, DC-DC converters, and adaptive algorithms, reflecting a consistent drive toward higher efficiency and reduced latency in power electronics.

• Catalysis
• Materials Science
• Electrochemistry
• +3 more

Dr. Muhammad Umer is a Researcher at the School of Engineering, University of Limerick. His work focuses on advanced catalytic materials, nanotechnology, and computational chemistry with applications in energy storage, environmental remediation, and electrochemical systems. He specializes in designing single-atom catalysts, MXene-based nanostructures, and MOF-MXene hybrid materials for energy conversion and CO₂ reduction. His research integrates experimental and theoretical approaches, leveraging machine learning and density functional theory (DFT) for materials discovery. Key research themes include hydrogen evolution reactions, water splitting, and electrochemical nitrogen fixation. He has explored novel nanomaterials such as diatom-derived frameworks, palladium nanocubes, and ruthenium oxide-MXene composites. His work bridges fundamental material science with practical applications in sustainable energy and environmental technology. Publications span topics like adsorption modeling for toxic metal ions, computational optimization of atomic structures, and high-throughput screening of electrocatalysts. While no formal academic awards or grants are listed in the provided text, his prolific publication record (over 20 articles since 2018) highlights significant contributions to catalysis and nanomaterials research. No student advisees or specific lab affiliations are mentioned in the provided information. His work emphasizes interdisciplinary collaboration between engineering, chemistry, and computational sciences.

Norah StoreyView profile

Lecturer

• Sustainable Investing
• Institutional Investors
• Low Carbon Finance
• +3 more

Norah Storey is a Lecturer in Finance at the School of Business, South East Technological University (SETU), within the Department of Accountancy and Economics. She completed her PhD in 2024 at SETU, focusing on institutional investors' decisions in low carbon assets across Germany, Ireland, and the UK, supported by an Irish Research Council scholarship. Her teaching spans undergraduate and postgraduate modules in finance, quantitative analysis, and business mathematics. Education: PhD: SETU (2024) M.Sc. Quantitative Finance: University of London (2015) M.Sc. High Performance Computing: Trinity College Dublin (1999) B.Sc. Double Hons in Experimental and Mathematical Physics: Maynooth University (1997) Research Interests: Sustainable Investing, Low Carbon Finance, Institutional Logics, and Climate Policy. Awards: Recognized for research excellence and doctoral funding. Activities: Active in academic conferences (e.g., IAFA, BAFA), and holds committee roles in organizations like Athletics Ireland Provincial Forum and Gaelscoil Philib Barún.

Muhammad YahyaView profile

Researcher

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

• Coastal Engineering
• Hydrodynamics
• Numerical Modeling
• +7 more

Dr. Ravindar Rajendran is a Post Doctoral Research Fellow Level I at the School of Civil Engineering, University College Dublin. He holds a PhD and MTech from the Indian Institute of Technology Madras and a BTech from the University of Pondicherry, India. His work focuses on coastal engineering, particularly the interaction between breaking waves and vertical seawalls with recurved parapets. BTech, University of Pondicherry, India MTech, Indian Institute of Technology Madras PhD, Indian Institute of Technology Madras His research interests lie in coastal structures , hydrodynamics , numerical modeling (OpenFOAM) , fluid-structure interaction , and scale effects in wave experiments . He investigates the mechanics of wave impact, pressure distribution, and force reduction through recurved parapets, combining large-scale physical experiments with high-fidelity numerical simulations. His work contributes to improving the design and retrofitting of coastal defenses against overtopping and structural loading. The recent publications (2019–2023) show a consistent focus on breaking wave impacts , scaling methods (Froude vs. Cuomo) , air entrapment effects , and geometric optimization of parapets . The studies often involve validation against large-scale experimental data from facilities like ForschungsZentrum Küste (FZK), Germany, and utilize advanced tools such as tactile pressure sensors and CFD solvers. The research spans both physical and numerical modeling, highlighting a multidisciplinary approach to coastal protection engineering. No scientific awards or honors are mentioned in the provided text. There is no information available about Dr. Rajendran’s advisory roles or grant funding. However, his extensive collaboration with researchers such as Sriram V, Schimmels S, Christou A, and Stagonas D indicates active participation in international research projects. His publications in journals like Coastal Engineering Proceedings , International Journal of Offshore and Polar Engineering , and Journal of Waterway, Port, Coastal and Ocean Engineering reflect strong engagement with the coastal engineering community. While no specific lab or research group name is mentioned, Dr. Rajendran is affiliated with the School of Civil Engineering at University College Dublin, where he conducts research on wave-structure interactions. His work appears to be part of a larger effort in coastal resilience and infrastructure protection, likely involving partnerships with European research centers such as FZK. The use of OpenFOAM and waves2Foam suggests involvement in computational fluid dynamics (CFD)-based research groups or collaborations focused on high-performance simulation of environmental flows.

• Modern Methods of Construction
• Structural Engineering
• Sustainable Construction
• +12 more

Dr. Samar Raffoul is a Research Fellow at the School of Architecture, Planning and Environmental Policy at University College Dublin (UCD), where she holds a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship. She is actively involved in the Modern Methods of Construction Research Group (MMCRG) and the Centre for Critical Infrastructure Research (CCIR), focusing on innovative and sustainable structural solutions. Her educational background includes a BSc in Civil Engineering from the University of Balamand (2011), an MSc in Structural Engineering from the University of Manchester (2012), and a PhD from the University of Sheffield (2018), where her research explored the use of waste tyre components in FRP-confined concrete. Dr. Raffoul's research interests span modern methods of construction, structural robustness, composite design, constitutive modelling, and sustainable material development. She is particularly passionate about reducing environmental impact through the reuse of recycled materials such as rubber from end-of-life tyres, and optimizing structural systems for greater sustainability and resilience. Her recent publications reveal a strong focus on material behavior under extreme conditions, including fire and accidental loading, as well as computational modeling for industrial processes. Key themes include embodied carbon in construction, cyclic behavior of rubberized concrete, post-fire performance of metal structures, and composite cold-formed steel-timber systems. She employs both experimental and numerical methods to advance structural design practices. Her scientific recognition includes the Marie Skłodowska-Curie Fellowship. Funded projects include the Horizon 2020 'Concatenation' project on modular construction robustness, the FP7 'Anagennisi' project on tyre reuse in concrete, and a UK KTP project on cold-formed steel systems. Dr. Raffoul has advised on industrial design solutions through roles at Fusion Building Systems and Evolusion Innovation. She is a member of the Associate Fellowship of the Higher Education Academy, reflecting her engagement in academic development. While no formal students are listed, her work supports knowledge transfer to industry and broader engineering communities. She is affiliated with key research groups: the Modern Methods of Construction Research Group (MMCRG) and the Centre for Critical Infrastructure Research (CCIR) at UCD, contributing to interdisciplinary efforts in resilient and sustainable infrastructure.

Ivana DusparicView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +6 more

Ivana Dusparic is an Ussher Associate Professor in Future Cities and the Internet of Things at the School of Computer Science and Statistics , Trinity College Dublin . She is also a Funded Investigator at the CONNECT SFI Research Centre and co-director of the Center for Doctoral Training in Artificial Intelligence . Previously, she held positions as Assistant Professor at University College Dublin (2015-2016) and Research Fellow at Trinity (2010-2015). Education: PhD in Computer Science, Trinity College Dublin (2010) Research Interests: Her research centers on leveraging Artificial Intelligence —particularly machine learning , intelligent agents , and multi-agent systems —to autonomously optimize large-scale heterogeneous infrastructures. A primary focus is on smart cities applications, including sustainable urban mobility, intelligent transport systems, autonomous car sharing, and smart energy grids. Research Projects & Labs: Surpass : Investigates how shared autonomous cars will transform cities, using Dublin as a case study. LAMP : Applies agent learning to smart grid management for renewable energy optimization. REALT : Real-time adaptive learning-based traffic control using multi-agent reinforcement learning. ClearWay : Optimizes travel-time reliability in mixed traffic using deep reinforcement learning and swarm intelligence. SATORI : Focuses on reinforcement learning in smart cities and moving networks. Grants & Funding: She has secured multiple high-profile grants, including Science Foundation Ireland (SFI) funding for CONNECT , ENABLE , and ClearWay . She has also launched initiatives like the IBM-TCD Pre-doc Fellowship in AI and the CRT in AI, offering 30+ funded PhD positions across Irish universities. Teaching & Supervision: She has taught courses such as Artificial Intelligence , Advanced Data Structures and Algorithms , and Computer Architecture at both Trinity and UCD. She actively supervises PhD students, postdocs, and interns across multiple projects.

Muhammad Sohaib AyubView profile

Research Fellow

• data analytics
• data spaces
• machine learning
• +7 more

Dr. Muhammad Sohaib Ayub is a Research Fellow at the University of Galway, Ireland, with a focus on Computer Science. He earned his PhD in Computer Science from Lahore University of Management Sciences (LUMS), where his research addressed context-aware sports performance assessment and web energy optimization. Research interests: data analytics, data spaces, machine learning, natural language processing, sports data analytics, web optimization, wireless sensor networks, Arabic OCR, biological data, and legal case prediction. Teaching experience: Delivered undergraduate courses at LUMS and FAST-NU in data structures, computational problem-solving, operating systems, and advanced programming. Community contributions: Journal paper reviewing, program committee service for international conferences, and workshops in cloud computing/high-performance computing. Awards: Travel grants and research funding to support academic endeavors.

R. Bogdan StaszewskiView profile

Professor

• Internet of Things
• Low-power electronics
• Communication circuits
• +5 more

Professor R. Bogdan Staszewski is a distinguished faculty member at the UCD School of Electrical and Electronic Engineering within the College of Engineering and Architecture at University College Dublin. He also maintains a part-time Full Professor position at Delft University of Technology in the Netherlands. His research focuses on enabling the Internet of Things through innovative low-power circuit design and smart electronics. Professor Staszewski's research interests center on developing energy-efficient electronic circuits that enable large-scale deployment of IoT devices. His work addresses critical challenges in wireless sensor networks, including energy harvesting from environmental sources, reliable environmental monitoring, and efficient communication systems. He has pioneered approaches to create cost-effective sensors that minimize factory calibration requirements while maintaining precision. His research group has produced significant advancements in digital communication circuits, with particular emphasis on phase-locked loops, Bluetooth Low-Energy technology, and cryogenic CMOS circuits for quantum computing applications. The publications reflect a consistent focus on reducing power consumption while maintaining high performance in wireless communication systems. IEEE Fellow 2012 IEEE Circuits and Systems Industrial Pioneer Award Professor Staszewski leads an extensive research team comprising 5 postdocs, 25 PhD students (21 at UCD and 4 at Delft), and 8 Masters students. His research has been supported by Science Foundation Ireland and the European Research Council, resulting in more than 200 patents and two successful spin-off companies: Fastree3D for 3D sensors on autonomous cars, and DITIQ for fully digital transmission of information. He maintains strong industry collaborations with Intel, Xilinx, and Analog Devices, focusing on practical applications of his research.