معرفی
Dr. Irene Moulitsas is a Reader in Scientific Computing and serves as the Deputy Director of Education in the Faculty of Engineering and Applied Sciences at Cranfield University. She has established herself as a leading researcher in scientific computing with a focus on developing novel algorithms for parallel processing platforms. Her work bridges the gap between theoretical computation and practical applications across multiple domains including fluid dynamics, aviation safety, and transportation systems.
Dr. Moulitsas received her PhD in Scientific Computation from the University of Minnesota in the USA and a BSc in Mathematics with emphasis on Computational Mathematics from the University of Crete in Greece. Prior to joining Cranfield University in 2012, she held research positions at the University of Cyprus, served as adjunct faculty at the Cyprus University of Technology, and worked as a research assistant at the University of Minnesota Army High Performance Computing Research Center (AHPCRC) and the Minnesota Supercomputing Institute (MSI).
Her research expertise spans High Performance Computing, Machine Learning, Artificial Intelligence, Graph Algorithms, Numerical Simulations, and Scientific Computing. Dr. Moulitsas has developed highly efficient serial and parallel algorithms and software that are publicly available and widely used by universities, research laboratories, and companies worldwide. Her work demonstrates a consistent focus on creating practical computational tools that solve complex scientific and engineering problems, particularly in fluid mechanics, aviation safety, and transportation systems. She has made significant contributions to vortex detection using computer vision techniques and developed innovative approaches for flight delay prediction using deep learning methods. Her recent publications show a clear trend toward interdisciplinary applications of machine learning across engineering domains, with particular emphasis on practical implementations that address real-world challenges in fluid dynamics and aviation systems.
- Top 100 Women in Engineering in the UK (INWED2021: Engineering Heroes)
Dr. Moulitsas' research has been recognized with prestigious funding from multiple sources including the US National Science Foundation (NSF), Department of Defence (DoD), European Framework Programs (FP5 and FP7), the Research Promotion Foundation (RPF) of Cyprus, and UK Research and Innovation EPSRC and Innovate UK. She supervises PhD students including Sami Alanazi and Dakun Chai, who are working on cutting-edge applications of machine learning in aviation and transportation systems. As Deputy Director of Education, she plays a key leadership role in shaping the academic direction of the Faculty of Engineering and Applied Sciences at Cranfield University. Dr. Moulitsas also sits on the executive board of the UK-ACM, demonstrating her leadership in the broader computing community.
