Tommaso Cremaschi is an Assistant Professor in Mathematics at Trinity College Dublin's School of Mathematics, specializing in hyperbolic geometry, Teichmüller theory, and low-dimensional topology. Research focuses on geometric structures of manifolds, including hyperbolic fillings, surface covers, and fibered 3-manifolds. Primary research domains include: Deformation spaces of hyperbolic structures Topological rigidity in 3-manifolds Geometric properties of infinite-type surfaces Volume optimization in hyperbolic spaces Recent publications demonstrate consistent exploration of hyperbolic manifolds (12 articles), with emphases on topological constraints in 3D (6 articles), geometric-analytical bounds (4 articles), and infinite-type surfaces (3 articles). Work integrates combinatorial group theory with deep geometric analysis.
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.
Dr. Derek Kitson is an Assistant Professor in Mathematics at Mary Immaculate College (MIC), Limerick, Ireland. He holds a PhD from Trinity College Dublin and is a Fellow of the Higher Education Academy and the Institute of Mathematics and its Applications. His research focuses on geometric and combinatorial rigidity theory, with applications to frameworks, graphs, and crystallographic structures. He has supervised doctoral student Dr. Sean Dewar, who completed his thesis on rigidity in normed spaces. Dr. Kitson’s work spans topics including graph rigidity, infinite frameworks, and operator-theoretic approaches to rigidity. He has contributed to projects funded by the EPSRC, such as the 'Geometry of auxetic materials' and 'Infinite bond-node frameworks.' His research has been presented at international conferences, including the SIAM Conference on Applied Algebraic Geometry and the Fields Institute Workshop on Rigidity Theory. He is affiliated with MIC’s research institutes and actively contributes to academic governance and postgraduate supervision. His research outputs include over 20 peer-reviewed articles in journals like Discrete and Computational Geometry and Journal of Combinatorial Theory .
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.
Steve Prestwich is a Lecturer at the School of Computer Science and Information Technology, University College Cork. He specializes in Artificial Intelligence, Data Analytics, and Algorithmics, with research interests spanning constraint programming, Boolean satisfiability, and hybrid search methods. Education: BA (Hons) Mathematics from University of Oxford, MSc and PhD in Computer Science from University of Manchester. Research Focus: His work integrates constraint programming, SAT solving, and metaheuristics for optimization under uncertainty, with applications in inventory control, protein design, and stochastic modeling. Awards: Runner-up, Constraint Modelling Challenge Bronze medal, SAT'05 Solver Competition
Professor Barry O'Sullivan is a leading academic and industry expert in artificial intelligence at University College Cork , where he serves as a full professor in the School of Computer Science & IT . He directs the Insight Centre for Data Analytics and the SFI Centre for Research Training in AI, and holds influential advisory roles at Europol's GRACE project, Leuven.ai institute, and the Computational Sustainability Network. His €300m+ R&D funding achievements and 15+ recent publications highlight his technical and societal impact. Co-founder and Chief AI Officer, Stimul.ai Member of University College Cork Governing Body Vice Chair, European Commission High-Level Expert Group on AI Former President, European AI Association His research spans AI ethics , machine learning , and computational sustainability , with recent work focusing on explainable AI for medical diagnostics, energy-efficient scheduling in manufacturing, and human-AI collaboration mechanisms. His publications reveal expertise in constraint programming, anomaly detection, and multilingual reasoning systems. Notable awards include fellowships from AAAI, EurAI, and the Royal Irish Academy, alongside leadership roles in AI policy committees for the European Commission and Irish health research ethics. He leads a team of PhD researchers at UCC, including Marco Dalla and Sharmi Dev Gupta, while directing major European AI initiatives like the ALTAI assessment framework.
Dr. Deepak Ajwani is an Assistant Professor in the School of Computer Science at University College Dublin . His research focuses on leveraging machine learning techniques for solving combinatorial optimization problems, with expertise in algorithm design, algorithm engineering, and graph algorithms. He holds a PhD from the University of Saarland, Germany, and has held postdoctoral positions at Aarhus University (Denmark) and University College Cork (Ireland). He also worked at Nokia Bell Labs (2012–2018) on learning systems for unstructured content analysis. Dr. Ajwani has received over 50 peer-reviewed publications in top-tier conferences and journals. He serves on the editorial board of the Machine Learning journal and is a frequent senior program committee member for conferences like WWW, IJCAI, AAAI, and ALENEX. He is a funded investigator at the SFI Centre for Research Training in Machine Learning (ML-Labs) . His teaching excellence has been recognized through multiple nominations for the UCD Teaching and Learning Award . His students have won the Franz Geiselbrechtinger Medal (2023, 2024) for best final-year projects in theoretical computer science. Key grants include the Irish Research Council and IBM Research Grant (2010–2012) for graph partitioning techniques in exascale computing. His research explores integrating machine learning with optimization algorithms, graph neural networks, and algorithm engineering for real-world applications.
Dr. Paul Young is an Associate Professor and Head of School at Dublin City University's School of Mechanical & Manufacturing Engineering. He holds a BA.BAI in Mechanical and Manufacturing Engineering (1986) and a PhD (1991) from Dublin University, where his research focused on high-frequency vibration monitoring in machining processes. His industry experience includes project engineering at ESTECH Corp. (Japan) and research at University College Dublin's Advanced Manufacturing Research Centre. Dr. Young's research focuses on data-driven modeling to optimize engineering systems, with applications in manufacturing processes, electric vehicle design, sustainable refrigeration, and collaborative robotics. He has led EU projects and collaborations with Intel, Irish Manufacturing Research, and automotive manufacturers. His work integrates computer-aided engineering with industrial automation for efficiency improvements. He has supervised 12 PhD students to completion and contributes to Ireland's National Council on Collaborative Robotics in Manufacturing. His research has been funded by Enterprise Ireland, EU programs, and industry partners.
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.
Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University, Faculty of Science & Engineering. He holds a PhD in Computer Science from the University of Essex and has held senior research roles at institutions like University College Dublin and Trinity College Dublin. His research focuses on Evolutionary Algorithms, Genetic Programming, and their applications in optimization, games, and circular economy challenges. Education : PhD in Computer Science, University of Essex MSc (Hons) in Artificial Intelligence (Research), University of Veracruz BSc (Hons) in Computer Science, University of Veracruz Research Interests : Dr. Galván pioneers work in semantic-based Genetic Programming, neutrality and locality in evolutionary algorithms, and applications in combinatorial optimization and energy systems. He also explores AI-driven solutions for the circular economy, including material reuse and policy design. Grants & Projects : REBUILD (€449,879): Reimagining buildings as material banks for the circular economy (2024–2027) VISION (€149,874): Circular business models to reduce virgin material use in construction (2023–2026) Stochastic Bio-inspired Evolutionary Algorithms (€267,000): Dynamic optimization problems (2014–2017) Awards : Top 1% of researchers in Genetic Programming (UCL, 2020) Elected member of Mexico’s National Research System (2015) Marie Curie Fellowship (Irish Research Council, 2014) Professional Activities : Chair of ACM Genetic and Evolutionary Computation Conference committees, Programme Committee member for IEEE Congress on Evolutionary Computation, and Scientific Adviser for research councils in Ireland, France, and Mexico.
Peter Keenan is an Associate Professor at the University College Dublin (UCD), School of Business, specializing in Management Information Systems. He holds a BComm, MMangtSc, and PhD from UCD. His roles include Head of the Management Information Systems subject area (2011–2015) and academic visitor at Pepperdine University (2015). He is affiliated with the Centre for Business Analytics and active in professional bodies like the Decision Science Alliance and AIS SIGDSA. Research focuses on decision support systems (DSS), geographic information systems (GIS), and optimization methodologies. Key areas include spatial decision-making, vehicle routing problems, and metaheuristics for stochastic optimization. His work bridges operations research and GIS technologies, with applications in logistics, environmental planning, and real-estate decision support. Teaching includes coordinating modules like Business Decision Support Systems, Metaheuristics, and Business Intelligence & Visual Analytics. Over 35 years of academic service at UCD, he has contributed to curricula development and pioneered the integration of GIS and DSS in business education. Professional Memberships: Euro WG on DSS, IFIP 8.3 WG, AIS SIGGIS (Founder) Key Contributions: Over 80 publications in journals like Annals of Operations Research and Decision Support Systems Labs/Teams: Active in Centre for Business Analytics at UCD
Patrick Healy serves as an Associate Professor in the Department of Computer Science & Information Systems within the Faculty of Science and Engineering at the University of Limerick. He is an active member of Lero – the Irish Software Research Centre , contributing to Ireland's national software research initiatives. His research spans Information Visualization, Graph Drawing, Combinatorial Optimization, and Routing/Scheduling problems. He specializes in developing algorithms for graph layout, table formatting, and upward planarity testing, with recent work expanding into machine learning robustness, medical AI diagnostics, and occlusion handling in computer vision. His fingerprint analysis reveals deep expertise in digraph theory (100%), planarity (76%), edge optimization (71%), and combinatorial optimization (51%). Current research trends show a significant shift toward applied AI since 2022, with 12 of his 15 most recent publications focusing on neural network robustness, medical diagnostics, and data augmentation techniques. Earlier work established foundations in graph theory and document engineering. He has supervised numerous research projects through Lero and maintains active collaborations across European institutions, particularly in software engineering and AI applications. His laboratory work centers on the Visualisation and Algorithm Design Group at UL, focusing on interpretable AI systems and robust visualization frameworks.
Dr. Marc Van Dongen is a Lecturer at University College Cork's School of Computer Science and Information Technology, specializing in artificial intelligence and algorithmics. He coordinates the MSc Computer Science and HDip in Applied Computing Technology programs. His research includes constraint solving, combinatorial optimization, and formal verification. While publication details are unavailable in the provided text, his role emphasizes curriculum development and academic leadership in computing. Dr. Van Dongen contributes to advancing AI education and algorithm design methodologies at UCC.
Professor Dermot Brougham is a leading researcher at the School of Chemistry , University College Dublin, with expertise in nuclear magnetic resonance (NMR) spectroscopy and magnetic nanomaterials. His academic journey includes postdoctoral work at Queen Mary University of London and the University of Nottingham, followed by academic positions at Dublin City University's School of Chemical Sciences before joining UCD in 2016. His research focuses on NMR methods to study structure-dynamics relationships in: Magnetic nanoparticles Soft matter systems (hydrogels, lipid membranes) Condensed matter physics These investigations drive applications in drug delivery systems , regenerative medicine , MRI contrast agents , and 4D-responsive biomaterials . Recent publications highlight his work on: Thermoresponsive hydrogels for spinal cord injury treatment Size-dependent magnetoliposome behavior in pancreatic cancer models Mechanically-tuned kidney organoid maturation Magnetic nanoflower design for imaging and hyperthermia Teaching leadership includes modules on: Advanced Physical Chemistry Nanotechnology Research Nanomedicine Trends His research is supported by grants including the NANO-MAG-FACTORY project (2017-2023) and current iPSC-derived blood vessel organoid studies (2023-2025). Contact: d.m.brougham@ucd.ie
Dr. Padraig Ó Cathain is a Lecturer in the School of Enterprise and Irish at Dublin City University, where Irish is the primary language of instruction. His academic career includes roles as a postdoc at the University of Queensland (2012–2015), Aalto University (2015–2016), and as an Assistant Professor at Worcester Polytechnic Institute (2016–2021). He holds a PhD in Mathematics (Algebraic Combinatorics) from the University of Galway (2012). His research focuses on algebra, combinatorics, and their applications, including design theory, signal processing, and private communication systems. Notable contributions include work on Hadamard matrices, compressed sensing, and combinatorial cryptography. He was awarded the 2015 Kirkman Medal by the Institute of Combinatorics and its Applications for his early-career achievements. Dr. Ó Cathain’s teaching spans discrete mathematics and algebra across undergraduate and postgraduate levels. His research collaborations include projects with Prof. Darryn Bryant (design theory), Prof. Petteri Kaski (computational complexity), and Prof. Camilla Hollanti (mathematics for secure communication).
