Vassili Karanassios' interests are in the area of micro- and nano-analysis (e.g., metrology) and in development of miniaturized instruments that can be used on-site (i.e., in the field). Such instruments are 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).
Office: C2 277
- 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, Open access book chapter, Chapter 8, Pages 187-215, InTech Publishing, 2018, DOI:10.5772/intechopen.72650
- 3D-ptinting: 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.
- 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 in the 5 years from its publication (since it was first accepted for publication in September 2011 to September 2016), it was downloaded more than 4 thousand times. Rapid prototyping of hybrid, plastic-quartz 3D-chips for battery-operated microplasmas, S. Weagent, L. Li and V. Karanassios, Open-access book chapter, Chapter 10, Pages 209-226, InTech publishing (2011), DOI: 10.5772/24994