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Vassili Karanassios


Vassili KaranassiosVassili Karanassios' interests are in the area of micro- and nano-analysis (e.g., metrology), in micro- and nano-technology (e.g., micro- and nano-fluidics, nano-materials), and in development of miniaturized instruments that can be used on-site (i.e., in the field).  Such instruments are typically fabricated on-chips so that they can fit in the palm of a hand or in a shirt pocket, thus allowing users to take “the lab to the sample”. The sample may be a “patient” (for early diagnosis of disease) and the field may be a health clinic or the environment (e.g., the air we breathe or the water we drink).  In addition, such instruments are being developed to have wireless-capabilities, so that they can be included in the Internet of Things (IoT) and to have some smarts (via Artificial Intelligence, primarily using Artificial Neural Networks and Deep Learning approaches).

Contact information
Office: C2 277
Phone: (519) 888-4840 or local extension 84840

Recent publications and short courses

  • Brief Introduction to Nanoscience and Nanotechnology, V. Karanassios, Invited, Open access (click here of a free download), Nanoscience Journal, Volume 1(1): 1-6 (2018).
  • Microfluidics and Nanofluidics: Science, fabrication technology (from cleanrooms to 3D printing) and their application to chemical analysis by battery operated microplasmas-on-chips. V. Karanassios, Invited, open access book chapter (click here of a free download), Chapter 1, Pages 1-34, InTech Publishing, Aug. 22, 2018, DOI: 10.5772/intechopen.74426
  • Computational Fluid Dynamics (CFD) applied to a glass vaporization chamber for introduction of micro- or nano-size samples into lab-based ICPs and to a CFD-derived (and rapidly prototyped via 3D printing) smaller-size chamber for portable microplasmas. H. R. Badiei, G. Stubley, R. Fitzgerald, M. Saddler and V. Karanassios, Invited, open access book chapter (click here for a free download), Chapter 8, Pages 187-215, InTech Publishing, Feb. 14, 2018, DOI:10.5772/intechopen.72650
  • The Internet of Things (IoT) for a smartphone-enabled optical spectrometer and their use on-site and (potentially) for Industry 4.0. Ryan Fitzgerald and Vassili Karanassios, Proc. SPIE 10657, Next-Generation Spectroscopic Technologies XI, 1065705 (11 pages), 2018; DOI:10.1117/12.2305466
  • Fast Fourier Transform of Non-periodic signals generated from a microplasma: migrating from a desktop computer to an IoT-connected Smartphone. Ryan Fitzgerald, Emily Wang and Vassili Karanassios,  Proc. SPIE 10657, Next-Generation Spectroscopic Technologies XI, 1065703 (7 pages), 2018; DOI: 10.1117/12.2305462
  • A vaporization chamber for micro- or nano-sample introduction into a battery-operated microplasma: from rapid prototyping via 3D-printing to Computational Fluid Dynamics (CFD) Simulations. Ryan Fitzgerald and Vassili Karanassios, Proc. SPIE 10657, Next-Generation Spectroscopic Technologies XI, 106570H (8 pages), 2018; DOI: 10.1117/12.2305467
  • 3D-printing: Technologies, materials and applications with emphasis on Analytical Chemistry and microplasmas. Vassili Karanassios, 4-hour short course, Winter Conference on Plasma Spectrochemistry, Saturday, January 6, 2018.
  • Artificial Neural Networks (ANNs) for spectral interference correction using a large-size spectrometer and ANN-based Deep Learning for a miniature one. Z. Li, X. Zhang, G. A. Mohua and V. Karanassios, Invited, open access book chapter (click here for a free download), Chapter 12, Pages 227-249, InTech Publishing, Dec. 20, 2017, DOI: 10.5772/intechopen.71039
  • Towards chromium speciation in lake-waters by microplasma optical emission spectrometry. H. So, D. A. Cebula and V. Karanassios, Proc. of SPIE Vol. 10215, Advanced Environmental, Chemical, and Biological Sensing Technologies XIV, 102150I-1 to 102150I-10, 2017, DOI: 10.1117/12.2262955
  • Wireless, battery-operated data acquisition system for mobile spectrometry applications and (potentially) for the internet of things (IoT). R. Fitzgerald and V. Karanassios, Proc. SPIE Vol. 10210, Next-Generation Spectroscopic Technologies X, 102100A1-102100A8, 2017; DOI:10.1117/12.2262949
  • Approaches to energy harvesting and energy scavenging for energy autonomous sensors and micro-instruments. P. Trizcinski, A. Nathan and V. Karanassios, Proc. of SPIE Vol. 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 1019431-1 to 1019431-8, 2017, DOI: 10.1117/12.2262949.
  • 3D-printing: Technology, materials and selected applications. Vassili Karanassios, Invited, 50-min tutorial, IEEE Sensors 2016 conference, Sunday, October 30, 2016.
  • Flexible, self-powered, visible-light detector characterized using a battery-operated, 3D-printed microplasma operated as a light source. Ruifeng Yang, Andrei Sazonov and Vassili Karanassios, Proceedings of the IEEE Sensors 2016 conference, Paper ID 978-1-4799-8287-5/16, pages 997-999, 2016, DOI: 10.1109/ICSENS.2016.7808738
  • Wireless data acquisition of transient signals for mobile spectrometry applications. Peter Trzcinski, Scott Weagant and Vassili Karanassios, Applied Spectroscopy, Vol. 70(5), 905–915, 2016, DOI: 10.1177/0003702816638304
  • Artificial Neural Networks (ANNs) versus Partial Least Squares (PLS) for spectral interference correction for taking part of the lab to the sample types of applications: an experimental study. Z. Li and V. Karanassios, Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications, 98710M-98718, 2016, DOI: 10.1117/12.2224402
  • 3D printing in Chemistry: past, present and future. Ryan Shatford and Vassili Karanassios, Proc. SPIE 9855, Next-Generation Spectroscopic Technologies IX, 98550B-98560, 2016, DOI: 10.1117/12.2224404
  • How can wireless, mobile data acquisition be used for taking part of the lab to the sample, and how can it join the internet of things? Peter Trzcinski and Vassili Karanassios, Proc. SPIE 9855, Next-Generation Spectroscopic Technologies IX, 985503-985510, 2016, DOI: 10.1117/12.2224400
  • Chromium speciation using large scale plasmas in a lab and towards field deployable speciation by employing a battery-operated microplasma-on-a-chip and optical emission spectrometry. Jennise German and Vassili Karanassios, Proc. SPIE 9482, 948231-948237, 2015, DOI: 10.1117/12.2177511
  • Microfluidics for spectrochemical applications. Ryan Shatford, Daniel Kim and Vassili Karanassios, Proc. SPIE 9486, 94860N1-94960N6, 2015, DOI: 10.1117/12.2177513
  • How do Artificial Neural Networks (ANNs) compare to Partial Least Squares (PLS) for spectral interference correction in optical emission spectrometry? Z. Li, X. Zhang and V. Karanassios, Proc. SPIE 9496, 94960M1-94960M8, 2015, DOI: 10.1117/12.2016253
  • Characterization of rapidly-prototyped, battery-operated, argon-hydrogen microplasma on a chip for elemental analysis of microsamples by portable optical emission spectrometry. Scott Weagant, Gurgit Dulai, Lu Li and Vassili Karanassios, Spectrcochimica Acta Part B, 106, 95-80, 2015, DOI: 10.1016/j.sab.2015.01.009

A legacy, open-access book-chapter has been included (below) because since its publication (in September 2011), it has been downloaded more than 1800 times.

  • Rapid prototyping of hybrid, plastic-quartz 3D-chips for battery-operated microplasmas, S. Weagent, L. Li and V. Karanassios, Open-access book chapter (click here for a free download), Chapter 10, Pages 209-226, InTech publishing (2011), DOI: 10.5772/24994
University of Waterloo