Nuorempi tutkija Saku Levikari

E-mail: Saku.Levikari@lut.fi
CV:
Uploaded on: 19/04/2020

Current Organisation
Laboratory of Applied Electronics (Superior organisation: Laboratory of Electrical Engineering)

Biography
Saku Levikari (M’18) was born in
1991 in Finland. He received the B.Sc. and M.Sc. de-
grees from Lappeenranta University of Technology
(LUT), Finland, in May and June of 2018, respec-
tively. He is currently a doctoral student with LUT
School of Energy Systems, Laboratory of Applied
Electronics. His main research topics are in the field
of data analytics and machine learning, with main
focus on wearable electronics and the reliability of
power electronics.

Research Interest
Applied machine learning; nondestructive testing; instrumentation and measurement

Teaching Experience
Fall 2015/2016/2017/2018: Radiotekniikan perusteet / Introduction to RF technology, supervision of calculation excercises

Publications
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A heat-flux sensor - US 20200217728A1 patent application (2020)
H2 Invention announcement
Kuisma Mikko, Immonen Antti, Levikari Saku
A method and apparatus for energy expenditure estimation (2020)
H1 Granted patent
Kuisma Mikko, Immonen Antti, Levikari Saku, et al.
Development of a Vertically Configured MEMS Heat Flux Sensor (2020)
A1 Journal article (refereed), original research
Immonen Antti, Levikari Saku, Gao Feng, et al.
IEEE Transactions on Instrumentation and Measurement
Improving Energy Expenditure Estimation in Wearables using a Heat Flux Sensor: First Observations (2020)
A4 Conference proceedings
Levikari Saku, Immonen Antti, Kuisma Mikko, et al.
IEEE Instrumentation and Measurement Technology Conference Proceedings
IEEE Instrumentation and Measurement Technology Conference (I2MTC 2020), 2020 Conference Proceedings
MEMS Heat Flux Sensor (2020)
A4 Conference proceedings
Immonen Antti, Levikari Saku, Gao Feng, et al.
IEEE Instrumentation and Measurement Technology Conference Proceedings
IEEE Instrumentation and Measurement Technology Conference (I2MTC 2020), 2020 Conference Proceedings
Menetelmä gradienttilämpövuoanturin valmistamiseksi (2020)
H1 Granted patent
Kuisma Mikko, Immonen Antti, Levikari Saku
Nondestructive Acoustic Testing of Ceramic Capacitors using One-Class Support Vector Machine with Automated Hyperparameter Selection (2020)
A1 Journal article (refereed), original research
Levikari Saku, Kärkkäinen Tommi J., Andersson Caroline, et al.
IEEE Access
A method and an apparatus for producing information indicative of metabolic state (2019)
H1 Granted patent
Kuisma Mikko, Immonen Antti, Levikari Saku
Acoustic Detection of Cracks and Delamination in Multilayer Ceramic Capacitors (2018)
A1 Journal article (refereed), original research
Levikari Saku, Kärkkäinen Tommi J., Andersson Caroline, et al.
IEEE Transactions on Industry Applications
Acoustic phenomena in damaged ceramic capacitors (2018)
A1 Journal article (refereed), original research
Levikari Saku, Kärkkäinen Tommi, Andersson Caroline, et al.
IEEE Transactions on Industrial Electronics


Keywords
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Analytics
Computer vision
Condition analysis
Data analysis
Data-analytics

Last updated on 2020-19-04 at 05:03