جستجوی استاد راهنمای دانشگاهی

Michael O'Boyleمشاهده پروفایل

استاد

• Heterogeneous Code discovery and Optimisation
• Neural Machine Translation and Neural Synthesis
• Deep Neural Network system stack
• +۷ مورد دیگر

Michael O'Boyle is a Professor at the University of Edinburgh's School of Informatics, where he serves as Director of the ARM Research Centre of Excellence and the EPSRC Centre for Doctoral Training in Pervasive Parallelism. Holding an EPSRC Established Career Research Fellowship, he leads pioneering work in compiler technology for heterogeneous architectures, bridging theoretical advances with practical high-performance computing applications. Professor O'Boyle's research spans multiple cutting-edge areas including heterogeneous code discovery and optimization, neural machine translation for program synthesis, deep neural network system stack optimization, software-defined hardware, and compiler/architecture co-design. His approach integrates constraint analysis, program synthesis, and machine learning to address complex challenges in high-performance computing across diverse hardware platforms. His recent publications reveal a strong trend toward integrating machine learning with traditional compiler techniques, particularly in neural program synthesis, tensor optimization, and architecture-aware compilation. This work represents a paradigm shift in compiler design, moving from rule-based systems to learning-based approaches that can automatically adapt to diverse hardware targets. IEEE/ACM CGO 2025 Distinguished Paper Award for 'Tensorize: Fast Synthesis of Tensor Programs from Legacy Code' IEEE/ACM CGO 2024 Test of Time Award ACM GPCE 2023 Best Paper Award for 'C2TACO: Lifting Tensor Code to TACOM' ACM ASPLOS 2021 Distinguished Paper Award IEEE HPCA 2021 Best Paper Award for 'Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads' Professor O'Boyle has successfully mentored numerous PhD students who have secured prominent positions in academia (including at Cambridge, Edinburgh, Leeds, and McGill) and industry (including Meta, NVIDIA, Qualcomm, Huawei, and Microsoft). His research is supported by significant funding from EPSRC, ARM, and European projects including Bonseyes and Transmuter, demonstrating strong international recognition and industry impact. He leads the influential Compiler and Architecture Design (CArD) Group at the University of Edinburgh and is a founder of the HiPEAC Network of Excellence, which has grown into a major European initiative connecting researchers and practitioners in high-performance and embedded computing.

Riikka Korjaمشاهده پروفایل

استاد

• Developmental Psychology
• Child Development
• Self-Regulation
• +۱۲ مورد دیگر

Riikka Korja is a Professor of Developmental Psychology in the Department of Psychology at the University of Turku, Finland. She leads the Child Development and Parenting sub-study in the FinnBrain project and serves as group leader for the Centre of Excellence in Learning Dynamics and Intervention Research (InterLearn). Additionally, she is a senior investigator in the ePIPARI project focused on digital developmental monitoring of preterm infants at TYKS. Her roles include team leadership in clinical education and responsibility for professional training programs in child and youth psychology. Research Interests: Her work investigates protective and vulnerable factors in child development, with a focus on self-regulation, maternal mental health, parenting quality, and prenatal influences. She explores cognitive and socio-emotional pathways linked to learning difficulties and mental health, particularly in high-risk populations such as preterm infants. Her research integrates longitudinal cohort data, neurodevelopmental assessment, and family-level interventions. Publication Trends: Recent publications (2024–2025) highlight her focus on maternal emotional availability, sensory unpredictability, maternal mental health (depression, anxiety, alexithymia), and their impact on infant and child socio-emotional and cognitive outcomes. These studies often use data from the FinnBrain birth cohort and employ both quantitative and qualitative methodologies. Scientific Contributions: Though no formal awards are listed, her leadership in major national and international research consortia underscores her academic impact. Principal Investigator – Child Development and Parenting, FinnBrain Group Leader – CoE InterLearn Senior Investigator – ePIPARI Team Leader – Clinical Education, Department of Psychology Responsible Professor – PSYKONET Training Program Laboratories and Teams: She is embedded in the developmental psychology research group at the University of Turku, collaborating closely with FinnBrain, InterLearn, and clinical teams at Turku University Hospital (TYKS). Her work involves interdisciplinary teams in psychology, neuroscience, pediatrics, and public health.