Prof. Dr. Ulrich Fiedler

Third-Party Funded Research: Acquiring, staffing, and managing industry-funded projects in mobile and web application development, data analysis, and security.

Innovative Teaching: Delivering courses in Smart Device Programming (BTI4101) and immersive learning experiences during Special Week 3 (BTI5206) for B.Sc. Informatics students.

Mentorship: Supervising student projects like Project 2 (BTI3041) and Bachelor Thesis (BTI3051/BTX8221), fostering the next generation of tech innovators.

Community Engagement: Coordinating the AppRun programming contest to inspire and attract future students for the B.Sc. Informatics program.

Mobile and web application development

Mobile application security

Network security

For more information refer to the web page of my lab

Ma Forêt / Mein Wald - a platform for small forest owners

MOTI - mobile timber cruise. MOTI takes advantage of smartphone technology to enable simple and convenient capturing of key variables related with the condition of forests. The application is specifically designed for forestry professionals to capture in an easy, cost effective and reliable manner key dendrometric variables including basal area, number of trees per ha, tree height and stock, as a single measurement combined in a sample plot, or at the level of a stand inventory with automatic calculation of the error range of the estimations. MOTI thus provides the solid basis for decision making directly in the forest. Moreover, this information can be used for tree marking or for planning measures in the context of developing a forest management plan.

habitat.sylvotheque.ch (HSC) - training foresters to protect biodiversity

Alzheimer's Disease Prediction Service (ADPS): a computational biomarker solution. Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive (cerebrospinal fluid analysis), expensive (neuroimaging) and timeconsuming (neuropsychological assessment) and thus have limited accessibility as frontline screening and diagnostic tools for AD. This project proposes a novel computational biomaker for mobile phones (ADPS) which may facilitate early and potentially more effective therapeutic and preventative strategies for AD.

Cap Forêt - visualize sensor data from the forest

Pig Health Information System - Recording, Analysis and Improvement of Animal Health in Swiss Pig Herds

PPML-Health: a Privacy-Preserving Machine Learning Infrastructure for Health Research. The developed platform facilitates machine learning on data from over 400 million patients without taking patient-specific data out of its protected environment. This leads to improved diagnosis and treatment.

martelage.sylvotheque.ch is an online platform to train foresters for tree marking in a great variety of situations. It includes a documentation, quantitative and visual (through photospheres), of 150+ training areas.

ICE institute