Kiraseya Preusser, M.Sc.
kiraseya.preusser"at"inda.rwth-aachen.de |
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Short Curriculum Vitae
11/2017 - Present | Research and teaching assistant, RWTH Aachen University, Germany. |
09/2015 - 09/2017 | MASc, Department of Mathematics and Statistics, Queen's University, Kingston, Canada, Thesis: "Channel Optimized Scalar Quantization over Orthogonal Multiple Access Channels with Memory". |
09/2011 - 05/2015 | BScEng, Applied Mathematics and Engineering, Queen's University, Kingston, Canada, Thesis: "Channel Optimized Scalar Quantization of Images over Noisy Channels". |
05/2014 - 09/2014 | Research Assistant, Chemical and Controls Engineering Department, Queen's University, Kingston, Canada. |
05/2013 - 09/2013 | Web Portlet Tester, Research and Development Branch, F-Secure, Kuala Lumpur, Malaysia. |
09/2009 - 06/2011 | A-levels, Subjects: Maths (A), Physics (A), Chemistry (B), AS Business Studies (A), Garden International School, Kuala Lumpur, Malaysia. |
Awards & Scholarships
09/2016 - 05/2017 |
Head of Math Help Centre |
05/2015 |
Recipient of KEYSER award for best Bachelor thesis presentation
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09/2013 - 05/2015 |
Co-founder and co-president of Code the Change
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05/2013 - 09/2013 |
Recipient of Cansbridge Scholarship to complete an internship in Asia |
Publications
- K. Preusser and A. Schmeink, "Energy Scheduling for a DER and EV Charging Station Connected Microgrid With Energy Storage," in IEEE Access, vol. 11, pp. 73435-73447, 2023.
- K. Preusser, P. Lölver, M. Garling and A. Schmeink, "Indoor Factory RSRP and RTT Measurements at 3.7 GHz: Simulator and Analysis," 2022 5th International Conference on Advanced Communication Technologies and Networking (CommNet), Marrakech, Morocco, 2022, pp. 1-8.
- K. Preusser, W. Wei, A. Schmeink, "Modelling Second-Life Batteries as the Energy Storage System for EV Charging Stations," IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Singapore, 2022, pp. 199-205.
- K. Preusser and A. Schmeink, "Robust Channel Modeling of 2.4 GHz and 5 GHz Indoor Measurements: Empirical, Ray Tracing, and Artificial Neural Network Models," IEEE Transactions on Antennas and Propagation, vol. 70, no. 1, pp. 559-572, Jan. 2022. [ pdf | bib ]
- K. Preusser, M. Reyer and A. Schmeink, "Network Planning for Indoor Joint LTE and WLAN Networks", IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, 2019, pp. 1-6, doi: 10.1109/CAMAD.2019.8858498.
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