Dr. Martin Loeser
Dr. Martin Loeser
ZHAW
School of Engineering
Departement Information Technology, Electrical Engineering and Mechatronics
Technikumstrasse 9
8400 Winterthur
Work at ZHAW
Focus
- Machine Learning
- AI-Based Audio Signal Processing
- Digital Image Processing
Education and Continuing education
Education
- 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
Continuing Education
Research Sabbatical
Seoul National University of Science and Technology, Seoul, South Korea
07 / 2024
Network
ORCID digital identifier
Awards
Best graduate of the year in the Master's degree program in Management
University of Hagen
06 / 2012
Social media
Projects
Publications
Articles in scientific journal, peer-reviewed
- Cha, S., Loeser, M., & Seo, K. (2024). The impact of AI-based course-recommender system on students’ course-selection decision-making process. Applied Sciences, 14(9), 3672. https://doi.org/10.3390/app14093672
- Kim, D., Kim, Y., Park, J., Choi, H., Ryu, H., Loeser, M., & Seo, K. (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), 3543. https://doi.org/10.3390/s24113543
- Choi, D. S., Park, J., Loeser, M., & Seo, K. (2024). Improving counseling effectiveness with virtual counselors through nonverbal compassion involving eye contact, facial mimicry, and head-nodding. Scientific Reports, 14(1), 506. https://doi.org/10.1038/s41598-023-51115-y
- Kim, S. Y., Park, J., Choi, H., Loeser, M., Ryu, H., & Seo, K. (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, e48093. https://doi.org/10.2196/48093
- Stängle, S., Domeisen Benedetti, F., Hediger, H., Bonmarin, M., Loeser, M., & Fringer, A. (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), 181. https://doi.org/10.1186/s12912-022-00946-7
Written conference contributions, peer-reviewed
- Lee, D., Kim, D., Loeser, M., & Seo, K. (2025, February 18). How large language models are transforming teachers’ assessment of student competency : a case study on LLM-based report writing. 2025 International Conference on Electronics, Information, and Communication (ICEIC). https://doi.org/10.1109/iceic64972.2025.10879736
- Kim, Y., Park, J., Choi, H., Loeser, M., Ryu, H., & Seo, K. (2024). Decoding behavior : utilizing virtual reality digital marker and machine learning for early detection of mild cognitive impairment. CHI EA ’24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3613905.3650731
- Fehr, D., Brunner, L. M., Kirsch, C., Loeser, M., Kedracka, A., Detmar, M., & Bonmarin, M. (2024, December 11). Semi-wearable LymphMeter : preliminary results from in-vivo validation. 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). https://doi.org/10.1109/bsn63547.2024.10780520
- Scaramuzza, M., Loeser, M., Früh, D., Mühlemann, S. O., Anliker, T., & Frick, C. (2015). Mobile Multilateration [Conference paper]. Swiss National Report on the Geodetic Activities in the Years 2011-2015, 214–215. https://www.sgc.ethz.ch/sgc-volumes/sgk-report-2011-2015.pdf
Other publications
- Dürr, O., Pauchard, Y., Browarnik, D. H., Axthelm, R., & Loeser, M. (2015). Deep learning on a Raspberry Pi for real time face recognition [Conference poster]. EG 2015 - Posters, 11–12. https://doi.org/10.2312/egp.20151036
- Loeser, M. (2013). Solar cell research and the future of solar power. International Innovation, 17–19.
Oral conference contributions and abstracts
- Stängle, S., Domeisen Benedetti, F., Bonmarin, M., Loeser, M., & Fringer, A. (2021, July 5). Use of digital tools for socially isolated people in home care and their relatives during social distancing. 15th International Family Nursing Conference (IFNC15) : Family Nursing throughout the Life Course, Online, 28 June - 2 July 2021.
- Scaramuzza, M., Loeser, M., & Früh, D. (2015). Mobile MLAT for PBN and ADS-B performance assessments. ENRI International Workshop on ATM/CNS (EIWAC), Tokyo, Japan, 17-19 November 2015.