Dr. Martin Loeser

Work at ZHAW

Focus

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

Education and Continuing education

Continuing Education

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

Network

Awards

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

Social media

LinkedIn

Projects

• Use of digital tools for socially isolated people in home care and their relatives during social distancing – digital support against social isolation (DASI) / Team member / Project completed
• TubeCam / Team member / Project completed

Publications

• Cha, Seungeon; Loeser, Martin; Seo, Kyoungwon,

  2024.

  The impact of AI-based course-recommender system on students’ course-selection decision-making process.

  Applied Sciences.

  14(9), pp. 3672.

  Available from: https://doi.org/10.3390/app14093672

• Kim, Se Young; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung; Seo, Kyoungwon,

  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, pp. e48093.

  Available from: https://doi.org/10.2196/48093

• Stängle, Sabrina; Domeisen Benedetti, Franzisca; Hediger, Hannele; Bonmarin, Mathias; Loeser, Martin; Fringer, André,

  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), pp. 181.

  Available from: https://doi.org/10.1186/s12912-022-00946-7

• Kim, Yuwon; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung; Seo, Kyoungwon,

  2024.

  Decoding behavior : utilizing virtual reality digital marker and machine learning for early detection of mild cognitive impairment [paper].

  In:

  CHI EA '24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems.

  Conference on Human Factors in Computing Systems (CHI), Honolulu, USA, 11-16 May 2024.

  Association for Computing Machinery.

  Available from: https://doi.org/10.1145/3613905.3650731

• Scaramuzza, Maurizio; Loeser, Martin; Früh, Daniel; Mühlemann, Sarah Olivia; Anliker, Tim; Frick, Christian,

  2015.

  Mobile Multilateration [paper].

  In:

  Swiss national report on the geodetic activities in the years 2011-2015.

  26th General Assembly of the International Union for Geodesy and Geophysics, Prague, Czech Republic, 22 June - 2 July 2015.

  Schweizerische Geodätische Kommission.

  pp. 214-215.

  Available from: https://www.sgc.ethz.ch/sgc-volumes/sgk-report-2011-2015.pdf

• Dürr, Oliver; Pauchard, Yves; Browarnik, Diego Hernan; Axthelm, Rebekka; Loeser, Martin,

  2015.

  Deep learning on a Raspberry Pi for real time face recognition [poster].

  In:

  EG 2015 - Posters.

  Eurographics Conference (EG 2015), Zurich, 4-8 May 2015.

  The Eurographics Association.

  pp. 11-12.

  Available from: https://doi.org/10.2312/egp.20151036

• Loeser, Martin,

  2013.

  Solar cell research and the future of solar power.

  International Innovation.

  pp. 17-19.

• Stängle, Sabrina; Domeisen Benedetti, Franzisca; Bonmarin, Mathias; Loeser, Martin; Fringer, André,

  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, Maurizio; Loeser, Martin; Früh, Daniel,

  2015.

  Mobile MLAT for PBN and ADS-B performance assessments.

  In:

  ENRI International Workshop on ATM/CNS (EIWAC), Tokyo, Japan, 17-19 November 2015.

Other publications

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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