CV - Curriculum Vitae

Education

B.Sc. in Information Technology, University of Klagenfurt, 2014
Dipl.-Ing. (eqv. to M.Sc.) in Information and Communications Engineering, University in Klagenfurt, 2017
Ph.D student in Information and Communications Engineering, University of Klagenfurt, since 2017

Further Training

Summer School on Communication Technology and Data Analytics for Future Energy Systems (further information), 2017
2nd International Summer School on Deep Learning (further information), 2018
Coursera: Machine Learning certificate offered by Stanford University (see certificate), 2018

Work experience

since March 2017: Research and Teaching Assistant
- University of Klagenfurt, Austria
- Advisor: Prof. Wilfried Elmenreich

Publications

YoMo: the Arduino-based smart metering board

C. Klemenjak, D. Egarter, W. Elmenreich, "Yomo: the arduino-based smart metering board", Computer Science-Research and Development, vol. 31, no. 12, pp. 97-103, 2016.

Non-Intrusive Load Monitoring: A Review and Outlook

C. Klemenjak and P. Goldsborough, "Non-Intrusive Load Monitoring: A Review and Outlook", in INFORMATIK 2016, H. C. Mayr and M. Pinzger,Eds. Bonn: Gesellschaft fr Informatik e.V., pp. 2199-2210, September 2016.

Yay - an open-hardware energy measurement system for feedback and appliance detection based on the Arduino platform

C. Klemenjak and W. Elmenreich, "Yay - an open-hardware energy measurement system for feedback and appliance detection based on the Arduino platform", 2017 13th Workshop on Intelligent Solutions in Embedded Systems (WISES), pp.1-8, 2017.

On the Applicability of Correlation Filters for Appliance Detection in Smart Meter Readings

C. Klemenjak and W. Elmenreich, "On the Applicability of Correlation Filters for Appliance Detection in Smart Meter Readings", 2017 IEEE International Conference on Smart Grid Communications, pp.1-6, 2017.

Co-Author of Smart grid modeling and simulation — Comparing GridLAB-D and RAPSim via two Case studies

M. Jdeed, E. Sharma, C. Klemenjak and W. Elmenreich, "Smart grid modeling and simulation — Comparing GridLAB-D and RAPSim via two Case studies," 2018 IEEE International Energy Conference (ENERGYCON), Limassol, 2018, pp. 1-6. doi: 10.1109/ENERGYCON.2018.8398768

YoMoPie: A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households

C. Klemenjak, S.Jost and W. Elmenreich, "YoMoPie: A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households", 2018 IEEE Conference on Technologies for Sustainability (SusTech), pp.x-y, 2018.

PhD Workshop: On Performance Evaluation and Machine Learning Approaches in Non-intrusive Load Monitoring

C. Klemenjak, "On Performance Evaluation and Machine Learning Approaches in Non-intrusive Load Monitoring", Energy Informatics 1 (Suppl 1) :36, pp.391-395, 2018.