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  • Engineering and Environment
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People directory

Prof. Dr. Martin Melchior,

Job title/activity of the person
Lecturer for Data Science

hero_header_martin_melchior_9685.jpg

Contact

Phone
+41 56 202 77 07 (Direct)
E-Mail
martin.melchior@fhnw.ch

Address

FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Computer Science
Bahnhofstrasse 6
5210 Windisch

Activities at FHNW

  • Lecturer for Data Science
  • Deputy Head of the FHNW Institute for Data Science

Teaching

Bachelor of Science in Data Science and Computer Science

  • Deep Learning, Maths
  • Supervision of Bachelor Thesis Projects

Master of Science in Engineering MSE, Profile Data Science

  • Deep Learning
  • Supervision of Master Thesis Projects

Research

  • AI-based applications mainly in the computer vision domain. Current focus area: Use cases in the environmental and energy domain
  • Astro-Informatics: software and systems engineering for large astronomy missions and ML applications in astrophysics and cosmology

Profile

Biography

LinkedIn

Since 2013
Professor at FHNW

2007-2012     
Scientific Collaborator at FHNW

2006-2007     
Risk Consultant at Towers Perrin / Tillinghast

2002-2006     
Risk Modeler / Risk Consultant at AonResolution AG

1997-2001     
Risk Modeler and Business Analyst at Swiss Re

1996-1997     
Postdoctoral Researcher at the Institute of Polymers, ETH Zurich

1993-1996     
Graduate studies in theoretical polymer science at ETH Zurich. PHD in physics (Dr. sc. Nat. ETH) – thesis: “Efficient Integration Techniques for Simulation of Polymer Dynamics”

1986-1992     
Studies in Physics and Mathematics at the ETH Zurich, focus on theoretical/mathematical physics.

Publications

Google Scholar

Projects

Applied Science Projects

2025: Digitaler KI-Assistent für die Diagnostik und Behandlung distaler Radiusfrakturen (CoI, with AINEAS GmbH; funded by Aargauer Forschungsfond)

2024: Datengrundlage für PV-Potenzialabschätzung (PI, with enshift AG; funded by Innocheck)

2024/25: Cement Composition Measurement by Long Wave Infrared (CoI, with Lumatics Technologies AG, Institute for Sensors and Electronics; funded by Innosuisse)

2024/25: Prognosebasiertes Energie- und Treibhausgasmanagement für Abwasserreinigungsanlagen (CoI, with Hunziker Betatech AG, Institute for Automation; funded by Innosuisse)

2024/25: Real Time Pollen Information (PI, with Swisens AG, University of Bern, METAS; funded by Innosuisse)

2023: APolLo - Adaptation of Pollen Classifier to Local Flora (PI, with Swisens AG; Photonics Booster)

2023: Carbon Farming (PI, with PVM Consulting; funded by Innocheck)

2023/24: Biocycling: Fremdstoffdetektion in Recyclingdünger (CoI, with Cortexia SA, Institute of Bioenergy and Resource Efficiency, Institute for Sensors and Electronics, EPFL; funded by Innosuisse)

2023/24: AI for Better Caries Diagnosis by Dentists (with Nostic Solutions AG; funded by Innosuisse)

2022-24: Deep Signature - Hidden and Robust Digital Signatures (funded by Innosuisse)

2021: Smart Recommender Systems for Medium Sized Enterprises (CoI, with Institute for Business Engineering; funded by Innosuisse)

2020: Robust Digital Signing with Deep Neural Networks (PI, funded by SNF – SPARK)

2016/17: Optimierte Produktionsauslastung für Brugg Cables (PI, with Brugg Cables; funded by CTI).

2010-2012: Risikomanagement Plattform PillarOne - sicherer bauen, schneller rechnen und leichter auszuwerten (PI, with Intuitive Collaboration GmbH; funded by CTI)

Astroinformatics Projects

Since 2024: EUCLID Operations in Switzerland (CoI, funded by SwissPRODEX)

2012-2023: Swiss Components of the Euclid Ground-Segment (CoI, with University of Geneva, EPFL; funded by Swiss PRODEX)

Since 2021: EUCLID : high&precision cosmology in the dark sector (CoI, with EPFL, UniGE, UniZH; funded by SNF – Sinergia)

2017-2021: EUCLID : high&precision cosmology in the dark sector (CoI, with EPFL, UniGE, UniZH; funded by SNF – Sinergia)

2017-2021: “Machine Learning based Analytics for Big Data in Astronomy” (CoI, with UnivGe; funded by SNF (NRP 75))

2013-2016: EUCLID : high&precision cosmology in the dark sector (with EPFL, UniGE, UniZH; funded by SNF – Sinergia)

2015-2021: Swiss Contributions to the Data Management for the Dark Energy Survey (with NCSA; funded by US NSF).

2012-2015: Swiss Contributions to the Data Management for the Dark Energy Survey (with NCSA and ETHZ; funded by ETHZ).

2007-2012: Swiss Software Contribution to the HIFI instrument on the Herschel Space Telescope (funded by Swiss PRODEX).

School of
Engineering and Environment FHNW University of Applied Sciences and Arts Northwestern Switzerland

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