Currently, Dr Elena Kakoulli is an Assistant Professor in Computer Science Department at Neapolis University Pafos and Coordinator of the MSc. Information Systems and Digital Innovation. She holds a Ph.D. in Computer Engineering from the Department of Electrical and Computer Engineering and Informatics at Cyprus University of Technology (CUT), and an M.Sc. and B.Sc. in Computer Science from the University of Cyprus (UCY) [B.Sc. 2007, M.Sc. 2009, Ph.D. 2015]. During her postgraduate studies, she received two prestigious awards recognizing her academic excellence from the University of Cyprus and the Marfin Laiki Bank Foundation.
Dr Kakoulli previously worked as a Research Associate at CUT, participating in various national and collaborative research projects focusing on computer architecture, interconnection networks, high-performance computing, on-chip networks, and multi-core systems. Her research specifically emphasized high-throughput multidimensional on-chip network architectures using in-silicon photonic interconnects, micro-architectural optimizations, and design-space exploration. Recently, she collaborated with Dr Herodotos Herodotou at CUT on projects involving distributed multi-tier storage systems for cluster computing and smart cloud-caching frameworks designed for data-intensive applications.
In addition to her research career, Dr Kakoulli has extensive teaching experience. She served as a Teaching Assistant at the UCY, an Expert Scientist at CUT, and a Lecturer at Ctl Eurocollege, delivering courses such as introductory and structured programming, operating systems, compilers, computer architecture, computer organization, and microprocessors.
She has published numerous scientific articles in ISI-indexed international journals and conferences and frequently serves as Chair, Program Committee (PC) member, Technical Program Committee (TPC) member, and invited reviewer for prominent academic conferences and journals. Her primary research interests include computer architecture, on-chip interconnection networks, silicon photonics, cloud computing, and systems for large-scale data analytics.