Dr. Martin Loeser

Arbeit an der ZHAW

Arbeits- und Forschungsschwerpunkte

• Machine Learning
• AI-Based Audio Signal Processing
• Digital Image Processing

Aus- und Weiterbildung

Ausbildung

• Master of Science / Ökonomie und Management
  Universität Hagen
  2010 - 2012
• Dr. sc. ETH / Computational Pyhsics
  ETH Zürich
  2004 - 2008
• Master of Science / Elektro- und Informationstechnik
  Technische Universität München
  1997 - 2003
• Study Abroad Degree / Applied Physics
  University of Sydney
  01 / 2001 - 01 / 2002

Weiterbildung

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

Netzwerk

ORCID digital identifier

ORCID ID: 0009-0006-7681-5910

Auszeichnungen

Jahrgangsbester Absolvent Masterstudium Ökonomie und Management
Universität Hagen
06 / 2012

Social Media

LinkedIn

Projekte

• Nutzung digitaler Hilfsmittel für sozial isolierte Menschen in häuslicher Pflege und ihre Angehörigen bei sozialer Distanzierung - digitale Unterstützung gegen soziale Isolation / Teammitglied / abgeschlossen
• Die Entwicklung einer neuen Nachweismethodik für Kleinsäuger mit Fokus auf Kleinmusteliden und Schläfer / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• 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.

Schriftliche Konferenzbeiträge, peer-reviewed

• 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.

Weitere Publikationen

• 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.

Mündliche Konferenzbeiträge und Abstracts

• 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.

Übrige Publikationen

M. Loeser and B. Witzigmann, "The Ultra Weak Variational Formulation Applied to Radiation Problems With Macroscopic Sources in Inhomogeneous Domains", IEEE Journal of Selected Topics in Quantum Electronics, 2009

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