Dr. Vassili Karanassios

Professor

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Biography

Vassili Karanassios is a Professor at the University of Waterloo specializing in micro-nano-analysis and micro-nano-technology. His research involves the development of miniaturized analytical instruments that can be used in field settings, allowing for real-time chemical analysis of various environmental samples. He is focused on integrating artificial intelligence with these technologies, employing machine learning techniques to enhance analytical capabilities. Karanassios’s work frequently explores the potential of battery-operated microplasmas for elemental analysis, as well as the applications of nanomaterials and microfluidics in analytical chemistry. Over the years, he has contributed to numerous projects involving the miniaturization of chemical analysis instruments and the incorporation of wireless capabilities for easier operability in clinical and environmental monitoring. His expertise extends to working on triboelectric nanogenerators and their integration with sensor systems. Karanassios has published extensively in the field, contributing several journal articles and conference proceedings on topics ranging from AI applications in spectrochemistry to advances in portable spectrometric technologies.

Research Interests

Experience

Professor

2010-08-01 — Present

University of Waterloo • Waterloo, ON, Canada

Teach and conduct research in micro-nano-analysis and nano-technology, focusing on the development of analytical instruments and fields like artificial intelligence in chemistry.

Courses

CHEM 123 - General Chemistry 2 CHEM 221 - Multi-Component Analysis CHEM 323 - Analytical Instrumentation CHEM 400 - Special Topics Chemistry

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.