Dr. Martin Loeser

Arbeit an der ZHAW

Arbeits- und Forschungsschwerpunkte

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

Aus- und Weiterbildung

Weiterbildung

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

Netzwerk

Auszeichnungen

Jahrgangsbester Absolvent Masterstudium Ökonomie und Management
Universität Hagen
06 / 2012

Social Media

LinkedIn

Projekte

• Use of digital tools for socially isolated people in home care and their relatives during social distancing – digital support against social isolation (DASI) / Teammitglied / Projekt abgeschlossen
• TubeCam / Teammitglied / Projekt abgeschlossen

Publikationen

• 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), S. 3672.

  Verfügbar unter: 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, S. e48093.

  Verfügbar unter: 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), S. 181.

  Verfügbar unter: 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.

  Verfügbar unter: 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.

  S. 214-215.

  Verfügbar unter: 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.

  S. 11-12.

  Verfügbar unter: https://doi.org/10.2312/egp.20151036

• Loeser, Martin,

  2013.

  Solar cell research and the future of solar power.

  International Innovation.

  S. 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.

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

Zurück