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

Research Areas

Artificial Intelligence

Computer Vision and Pattern Recognition

Engineering

Health Informatics

Signal Processing

Publications

A heat-flux sensor - US 20200217728A1 patent application (2020)
H2 Invention announcement
Kuisma Mikko, Immonen Antti, Levikari Saku

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 (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 (I2MTC 2020), 2020 Conference Proceedings

Menetelmä gradienttilämpövuoanturin valmistamiseksi (2020)
H1 Granted patent
Kuisma Mikko, Immonen Antti, Levikari Saku

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

MLCC Acoustic Data Set (2018)
Other
Levikari Saku, Kärkkäinen Tommi J., Silventoinen Pertti, et al.

Acoustic detection of cracks and delamination in Multilayer Ceramic Capacitors (2017)
A4 Conference proceedings
Levikari Saku, Kärkkäinen Tommi, Silventoinen Pertti, et al.
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

Keywords

1 of 4

Analytics

Computer vision

Condition analysis

Data analysis

Data-analytics

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