All projects from the School of Engineering
-
OsteoFusion: Highly osteoconductive and fast incorporating ceramic implant solutions for Sports Medicine (and Orthopedics)
In Sports Medicine, a faster return to full activity, a better cost-benefit ratio, and maximized patient comfort are paramount. OsteoFusion provides a solution with an innovative ceramic implant that transforms into bone being anchored by ultrasonic liquefaction of a fiber-reinforced biocomposite. ...
-
SmartSenseAI
SmartSenseAI develops a robust, extremely low-cost, customizable, flexible multi-purpose skin for cobots, enhanced by cognitive information processing. This will significantly increase safety in physical human-robot collaboration (pHRC) and enable proactive, intuitive and reactive interaction. SmartSenseAI further ...
-
ZHAW Summer School for HealthTech Innovators
Planning, promotion and realisation of the 3rd ZHAW HealthTech Summer School according to the Stanford Biodesign innovation approach: 2.5 weeks in July with clinical immersions in three different medical application areas to develop disruptive Digital Health, DTx and MedTech solutions.
-
ACTS - Agroforestry Carbon Token System
Agroforestry has significant benefits for climate change mitigation and sustainable agroecosystems. For its valorisation as climate protection project, a new carbon certification scheme that allows continuous accounting of the CO2 removed by biomass carbon on a blockchain system is developed. ...
-
HD.ng++ Automated Web Server Classification
The HD.ng++ project creates a system to support an analyst in a Security Operations Center (SOC). The developed system provides meta-information on domains and IP addresses to assist SOC-Analysts by the investigation of potentially malicious domains or IP addresses.
-
High Speed Networking Switch for Surgical Research
For their novel surgical research and teaching centre OR-X, the university hospital of Balgrist is looking for a Data Hub solution, allowing to synchronise signals of TOF cameras, optical tracking systems and robots in a simulated operating room and exchange them with a central DGX server. ZHAW is developing a ...
-
MaM Monitoring of AV-Media
The monitoring of print and online media has been taking place more or less automatically for a long time. Since an ever greater proportion of new content is produced first or even exclusively for audiovisual (AV) media, the importance of monitoring these AV media has soared. Since the monitoring of AV media can ...
-
Stability of self-organizing net fragments as inductive bias for next-generation deep learning
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets. ...
-
Mixed Reality in plant engineering
MBS (feasibility study): Use of XR (Mixed Reality) in plant engineering. By walking through large plants together in virtual space in the early stages of the development process: shortened process time Reduction of planning errors and time-consuming coordination with international customers Reduction in the ...
-
Emission Zero: A sustainable construction simulation game, 1990-2050
Imagine a city somewhere in Switzerland. The year is 1990 and now it's about pursuing sustainable development that aims to achieve emission zero by 2050 at the latest. Where to start? What strategies must and can be used to perhaps achieve this goal beforehand? This city is a simulation within a video game and you ...
-
Experimental & Machine learning driven design of stable 2D/3D perovskite solar cells for outdoor applications.
Perovskite solar cells (PSCs) have recently attracted considerable research interest due to their remarkable properties and noticeable power conversion e?ciency (PCE) of more than 25.5%. Despite all the advantages, perovskites are highly sensitive to moisture, heat, and irradiation, which result in device ...
-
Intelligent planning for robot-based manufacturing
The proposed research seeks to merge data-driven methods, symbolic knowledge, and domain expertise to enhance the planning, optimization, and control of industrial robots and processes in robot-based manufacturing. By incorporating sensor data, we can leverage additional information to monitor and control industrial ...
-
Towards stable and highly efficient lead-free perovskite white light-emitting diodes
Light-emitting diodes (LEDs) are widely used as artificial smart light sources in lighting, display, communications, medical services, and signage. Recently, organic-inorganic hybrid lead halide perovskites LEDs have drawn vigorous scientific interest due to their low cost, high efficiency, and simple manufacturing ...
-
MOF Facilitated Pilot Scale Carbon Capture
MOF Facilitated Pilot Scale Carbon Capture.
-
Smart Maintenance Nuclear Power Plants
Smart Maintenance Nuclear Power Plants.
-
Enabling Scientific Diplomacy: Preparation of the GESDA Neurotechnology Compass
The Geneva Science and Diplomacy Anticipator (GESDA) is developing the “Neurotechnology Compass” (the NeuroTech Compass – NTC). The NTC is aimed at equipping decision-makers with the necessary navigation tools to best support research in neuroscience and neurotechnology and their applications in society. By ...
-
ESAM - Evaluation System for Additive Manufacturing
Today, when a new component has to be manufactured, the choice of the supply and production value chain is mainly led by a techno-economic evaluation, and the "sustainability" of the solution is not considered. Given different efficiencies of the manufacturing processes, in terms of resources consumption, it is not ...
-
Fabrication of single crystal perovskite memristor
Perovskite memristors’ switching mechanism mainly consists of filaments formation and rupture. It is challenging to investigate filaments because their formation and rupture are random events in nano scale that exactly cause memristor, set, and reset voltage instability. Consequently, filament formation and rupture ...
-
Large Language Models LLM (e.g. GPT) aaS in Marketing
The idea of this project is to develop an LLM aaS that offers selection, usage and integration of LLM-based applications to companies. Based on bmq experiences we want to start with content adaption (adaption of an initial content piece to e.g. different social media channels) as an initial use case to shape and ...
-
Making I-CNS A Reality (MIAR)
The aviation industry aims to integrate communication, navigation, and surveillance (CNS) services in order to use spectrum more efficiently and increase resilience while enabling optimal separation between aircraft and maintaining safety. In this context, the EU-funded MIAR project will focus on the capabilities of ...
-
Serverless data analytics and data-centric consensus for sensed data in public transport
Public transport in Switzerland and in Latin America is organised differently and operated with different levels of reliability, innovation priorities, and acceptance of digital support solutions by passengers. The common element is that in both regions, operators struggle with optimising the offered services to ...
-
Augmented Reality Outdoor Mission "Escape the fossils"
With the Augmented Realitiy (AR) outdoor mission " Escape the Fossils", we want to create awareness and communicate our current research on energy transitions. It will specicially target students from 12 years. For this reason supporting material will be developed. The project partnership between the institute of ...
-
Dark Energy: Accurate estimation and awareness of cloud-induced power consumption
Phones and notebooks do not require much power? Wrong, most usage patterns involve the heavy use of cloud services. In contrast to device consumption, the extent of this indirect consumption is unknown to users. This project delivers a tool to trace cloud use and convey a CO2 equivalent to the user. ...
-
Development and construction of a sensor carrier for the drone-based measurement of methane and CO2 concentrations in near-ground air layers
The Geoforschungszentrum Potsdam is researching the exchange processes between the ground and the atmosphere. To this end, the climate-relevant gases methane and CO2 are to be measured in air layers near the ground in order to make climate models more accurate. This is being done with an unmanned aerial vehicle. The ...
-
AI4CP: AI for self-organizing Content Platform