Dr. Martin Loeser

Dr. Martin Loeser

ZHAW School of Engineering
Departement Information Technology, Electrical Engineering and Mechatronics
Technikumstrasse 9
8400 Winterthur

Work at ZHAW

Master of Science / Economics and Management
University of Hagen
2010 - 2012
Ph.D. / Computational Physics
ETH Zurich
2004 - 2008
Master of Science / Electrical and Computer Engineering
Technical University of Munich
1997 - 2003
Study Abroad Degree / Applied Physics
University of Sydney
01 / 2001 - 01 / 2002

Research Sabbatical
Seoul National University of Science and Technology, Seoul, South Korea
07 / 2024

Best graduate of the year in the Master's degree program in Management
University of Hagen
06 / 2012

Cha, S., Loeser, M. and Seo, K. (2024) 'The impact of AI-based course-recommender system on students' course-selection decision-making process', Applied Sciences, 14(9), p. 3672. doi: 10.3390/app14093672.
Kim, D. et al. (2024) 'Exploring the relationship between behavioral and neurological impairments due to mild cognitive impairment : correlation study between virtual kiosk test and EEG-SSVEP', Sensors, 24(11), p. 3543. doi: 10.3390/s24113543.
Choi, D. S. et al. (2024) 'Improving counseling effectiveness with virtual counselors through nonverbal compassion involving eye contact, facial mimicry, and head-nodding', Scientific Reports, 14(1), p. 506. doi: 10.1038/s41598-023-51115-y.
Kim, S. Y. et al. (2023) 'Digital marker for early screening of mild cognitive impairment through hand and eye movement analysis in virtual reality using machine learning : first validation study', Journal of Medical Internet Research, 25, p. e48093. doi: 10.2196/48093.
Stängle, S. et al. (2022) 'Use of digital technologies to combat loneliness and social isolation : a cross-sectional study in Swiss outpatient care during COVID-19 pandemic', BMC Nursing, 21(1), p. 181. doi: 10.1186/s12912-022-00946-7.

Lee, D. et al. (2025) 'How large language models are transforming teachers" assessment of student competency : a case study on LLM-based report writing', in 2025 International Conference on Electronics, Information, and Communication (ICEIC). IEEE. doi: 10.1109/iceic64972.2025.10879736.
Kim, Y. et al. (2024) 'Decoding behavior : utilizing virtual reality digital marker and machine learning for early detection of mild cognitive impairment', in CHI EA '24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. doi: 10.1145/3613905.3650731.
Fehr, D. et al. (2024) 'Semi-wearable LymphMeter : preliminary results from in-vivo validation', in 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE. doi: 10.1109/bsn63547.2024.10780520.
Scaramuzza, M. et al. (2015) 'Mobile Multilateration', in Swiss national report on the geodetic activities in the years 2011-2015. Schweizerische Geodätische Kommission, pp. 214–215. Available at: https://www.sgc.ethz.ch/sgc-volumes/sgk-report-2011-2015.pdf.

Dürr, O. et al. (2015) 'Deep learning on a Raspberry Pi for real time face recognition', in EG 2015 - Posters. The Eurographics Association, pp. 11–12. doi: 10.2312/egp.20151036.
Loeser, M. (2013) 'Solar cell research and the future of solar power', International Innovation, pp. 17–19.

Stängle, S. et al. (2021) 'Use of digital tools for socially isolated people in home care and their relatives during social distancing', in 15th International Family Nursing Conference (IFNC15) : Family Nursing Throughout the Life Course, online, 28 June - 2 July 2021.
Scaramuzza, M., Loeser, M. and Früh, D. (2015) 'Mobile MLAT for PBN and ADS-B performance assessments', in ENRI International Workshop on ATM/CNS (EIWAC), Tokyo, Japan, 17-19 November 2015.