Summary
Vasilis Nikolaidis is an Associate Professor in Accounting and Finance at the University of Peloponnese with eight years of professional experience bridging academia and the software industry. He holds a PhD in Pattern Recognition from the University of Patras and an MS in Computer Science from Johns Hopkins, specializing in artificial neural networks, clustering, and data mining. Vasilis designs and implements data-driven solutions and has developed specialized pattern recognition tools for non-destructive testing and signal analysis (e.g., VPR/ttnANS, Noesis, AEwinPost, LPMS). Proficient in R, C++, and C#, he combines rigorous research with hands-on software engineering to turn complex data into actionable insights. His work repeatedly focuses on applying advanced pattern-recognition methods to practical industrial problems, underscoring a rare mix of theoretical depth and applied tool development. Based in Greece, he continues to translate research advances into deployable software for real-world analytics.
8 years of coding experience
Johns Hopkins University
Doctor of Philosophy (PhD), Computer Programming, Pattern Recognition, Doctor of Philosophy (PhD), Computer Programming, Pattern Recognition at University of Patras
Bachelor of Applied Science (B.A.Sc.), Computer Science, Bachelor of Applied Science (B.A.Sc.), Computer Science at Western New England College