Vasilios Papadakis

Vasilios Papadakis serves as an Assistant Professor at the University of West Attica with over two decades of international research and teaching experience spanning Delft University of Technology, Foundation for Technology and Research, University of Crete, and Hellenic Mediterranean University. His expertise centers on non-destructive testing, multispectral imaging, and diagnostic methodology development for material surface analysis under stress conditions.

His academic foundation includes dual doctoral achievements:

• PhD in Spectral Tissue Imaging (Medical School, University of Crete)
• PhD in Organismal Behavior Observation via Machine Vision (Department of Biology, University of Crete)

Dr. Papadakis' research integrates optical physics and engineering to pioneer diagnostic solutions. Core focus areas include:

• Spectroscopic characterization through Raman, infrared, and fluorescence techniques
• Material differentiation based on spectral signatures
• Optoelectronic device design for industrial information systems
• Dynamic surface analysis during stress exposure

Analysis of his 150+ publications reveals dominant themes in Industry 4.0 implementation and sustainable manufacturing. Recent work demonstrates cross-disciplinary impact through 3D-printed infrastructure, biomimetic drone components, and machine learning-driven predictive maintenance systems—bridging theoretical mathematics with practical engineering solutions.

As an educator, he teaches foundational engineering mathematics (Linear Algebra, Calculus) and specialized courses including Strength of Materials and Unmanned Aerial Systems. His pedagogical innovations feature low-cost robotics platforms like DuBot and sustainability integration through upcycled materials in mechatronics labs.

He directs the Non-Destructive Testing and Systems Diagnosis Methodologies Laboratory, where his team develops imaging solutions for industrial quality control, with particular emphasis on stress-induced surface phenomena and embedded diagnostic systems for material science applications.