Prof. Kirk Soodhalter is the Ussher Assistant Professor in Numerical Analysis at Trinity College Dublin's School of Mathematics. His research focuses on numerical methods for sparse linear systems, projection techniques, parameterized systems, and high-performance computing algorithms. He is affiliated with the School of Mathematics at Trinity College, located in Dublin 2, Ireland. His technical contact information includes an office in Lloyd Building, Room 244, and a telephone number +353-1-896 8515. His personal webpage is https://math.soodhalter.com .
John Dooley is an Assistant Professor in the Department of Electronic Engineering at Maynooth University , Ireland. He also serves as the Programme Director for the BE/ME Electronic Engineering program. He is a Principal Investigator on the ORCHESTRA-6G project, funded by Science Foundation Ireland (SFI), and a Funded Investigator in the SFI CONNECT Centre for Telecommunications and the SFI ADVANCE Centre for Research Training . Education: Ph.D. in Electronic Engineering, University College Dublin, 2008 Research Focus: Dr. Dooley’s research spans digital signal processing , spectrally efficient modulation schemes , and applications to high-frequency circuits . His work has significantly impacted power efficiency optimization in wireless communication devices and networks, particularly in digital compensation techniques for mmWave terrestrial and satellite systems . His recent focus includes 6G wireless technologies and next-generation modulation techniques . Publications Trends: His research output reflects a strong emphasis on nonlinear system modeling , power amplifier linearization , and digital predistortion techniques . The articles span from RF circuit design to system-level optimization in wireless communications, with a clear trajectory toward 5G and 6G applications . Grants & Affiliations: Principal Investigator, ORCHESTRA-6G , SFI Frontiers for the Future Grant Funded Investigator, SFI CONNECT Centre for Telecommunications Funded Investigator, SFI ADVANCE Centre for Research Training Labs & Teams: Dr. Dooley is affiliated with the Hamilton Institute at Maynooth University, a multidisciplinary research institute focused on applied mathematics and communications systems. His work also intersects with the Radiospace research group, which explores advanced wireless technologies.
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.
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.
