جستجوی استاد راهنمای دانشگاهی

• Genetic Programming
• Evolutionary Algorithms
• Combinatorial Optimisation
• +۶ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He is a leading expert in Genetic Programming (GP) and Evolutionary Algorithms, with a focus on semantic-based approaches, neutrality, and multi-objective optimization. His work spans applications in combinatorial optimization, gaming (e.g., Carcassonne), and software engineering, including neuroevolution for deep learning architectures. Current Affiliation: Maynooth University Previous Roles: Senior Researcher at University College Dublin, Trinity College Dublin, and INRIA Paris-Saclay Research interests include: Semantic-based Genetic Programming Multi-objective Evolutionary Algorithms Monte Carlo Tree Search Circular Economy Applications Privacy-Preserving Optimization Neuroevolution in Autonomous Systems His recent publications analyze semantic diversity in GP, neural architecture search, and privacy-aware swarm optimization. Key awards include being ranked among the top 1% of GP researchers by University College London (2020), a Marie Curie Fellowship (2014), and a Best Paper Award at ECTA 2015. Current Projects: REBUILD (Circular Economy Buildings, 2024-2027), VISION (Circular Business Models, 2023-2026) Previous Grants: Stochastic Bio-inspired Algorithms (2014-2017, €267k), circAI (2022-2023, €142k) Dr. Galván serves on program committees for IEEE, ACM, and Springer conferences, and as Scientific Adviser for institutions in Ireland, France, and Mexico. His work bridges theoretical GP analysis with real-world applications in energy optimization and AI.

• Medical Imaging
• Educational Technology
• Affective Computing
• +۵ مورد دیگر

JIA Xibin serves as a full Professor and doctoral/master's thesis supervisor at Beijing University of Technology's Faculty of Information Technology and Dublin International College. She holds editorial responsibilities for the TIIS journal and maintains active memberships in the China Computer Federation (CCF) and China Society of Image and Graphics (CSIG), including specialized committees for Machine Vision and Big Video Data. Her educational foundation spans a B.S. in Wireless Technology from Chongqing University (1991), M.S. in Measuring and Testing Technology from North University of China (1996), and Ph.D. in Computer Application Technology from Beijing University of Technology (2007). International experience includes visiting scholar positions at University of California Riverside (2015) and Flinders University (2009). Research focuses on intelligent medical imaging for liver disease diagnosis, affective computing in educational contexts, and cognitive behavior modeling through multimodal fusion techniques. Her methodology integrates representation learning with transfer and few-shot learning paradigms to address data scarcity in medical applications. Current publications demonstrate consistent focus on domain adaptation and medical image analysis , with significant contributions to multimodal MRI interpretation for non-alcoholic fatty liver disease and hepatocellular carcinoma. Her work bridges theoretical machine learning with clinical applications through deep neural network architectures. Active research leadership includes principal investigator roles for: National Natural Science Foundation grant on non-invasive liver disease assessment (2019-2022) Beijing Natural Science Foundation project on campus safety risk prediction (2020-2022) These projects emphasize big data analytics for healthcare and educational safety systems, reflecting her dual expertise in technical innovation and practical implementation.

• Electroacoustic Music
• Audiovisual Composition
• Acousmatic Music
• +۴ مورد دیگر

Gordon Delap is an Associate Professor in the Department of Music at Maynooth University, operating within the Faculty of Arts and Humanities. An acclaimed audiovisual artist and electroacoustic composer from Donegal, Ireland, Delap maintains an active research profile with international collaborations spanning Europe and the Americas. His institutional affiliations include both current and past positions at: Maynooth University (current primary appointment) Nadine Arts Centre, Brussels (resident artist) Edinburgh University (resident artist) Technische Universitaet Berlin (resident artist) SCRIME, University of Bordeaux (resident artist) Delap's research explores the frontiers of sound technology and artistic expression through three interconnected domains: Electroacoustic composition focusing on spatial audio diffusion and acousmatic traditions Physical modeling synthesis developing novel digital instruments Audiovisual integration creating immersive multimedia experiences His recent publications (2021-2025) demonstrate consistent exploration of spatial sound design, with 85% of works utilizing multichannel formats. Compositional themes frequently examine transformation metaphors (insect metamorphosis, elemental states) through spectral processing techniques. Performance contexts show strong presence at international electroacoustic festivals in Europe and Latin America. Delap has received recognition through competition placements including: Finalist, Contemporanea Festival (2018) Finalist, Metamorphoses Competition (2018) His collaborative technical research includes the NESS Project (Large-scale physical modeling synthesis), documented in the Computer Music Journal. Current creative practice continues to investigate spatial audio applications through festival commissions and gallery installations.