Ubiquitous Applications

Do you need someone with the know-how to realize your app idea? Let’s go. I am familiar with everything you need. User-oriented UI/UX-Design and motivation engineering, technical realization of the software, team coordination - I combine multiple disciplines to engineer the product you need. Contact me to get started.

Featured Project

The Peerbridge Blockchain Messenger employs new SwiftUI features such as the new LazyVStack or the new CryptoKit framework. The messenger is an experimental proof-of-concept to demonstrate how a distributed blockchain can be used to create a shared, fully-anonymous and confidential message distribution system.

Machine Learning

Do you want to classify user behavior, suggest products or predict trends? These are just some examples of what’s possible with expertise in the field of artificial intelligence. Do you need ai directly on your smartphone? I am your man.

Featured Project

The 3Dify app uses multi-camera-array disparity computation on photos to generate depth maps and use them for a 3d parallax effect. The app is context-aware such that on devices without multi-camera-arrays, it creates the depth maps by monocular depth interpretation using a neural pipeline and the new CoreML/Vision frameworks. In this way, even users without a device capable of disparity calculation can use the parallax effect.

Featured Project

The 3Dify app uses multi-camera-array disparity computation on photos to generate depth maps and use them for a 3d parallax effect. The app is context-aware such that on devices without multi-camera-arrays, it creates the depth maps by monocular depth interpretation using a neural pipeline and the new CoreML/Vision frameworks. In this way, even users without a device capable of disparity calculation can use the parallax effect.

Adaptivity through CoreML and Vision

On-Device Machine Learning brings new possibilities. For example, the 3Dify app uses an Artificial Intelligence to interpret depth information into photos. This is a very good example for how current AI research can be used in mobile applications to solve a specific use case.

Adaptivity through CoreML and Vision

On-Device Machine Learning brings new possibilities. For example, the 3Dify app uses an Artificial Intelligence to interpret depth information into photos. This is a very good example for how current AI research can be used in mobile applications to solve a specific use case.

Cloud Computing

Engineering ubiquitous systems, like mobile or IOT applications, requires solutions to make development, distribution and data flow more efficient, scalable and robust.

ls cloud-computing-tech Docker Microservices Blockchain and Consensus Distributed Systems Edge AI and Federated Learning Display more results? (y/n)

In a continuously evolving technological environment, not only portability and durability is increasingly important, but also (social) connectedness. The goal of Cloud Computing is to maximize the product value while minimizing development and support expenses.

Fullstack

I never limit myself to a specific technology and always analyze, which technology is the best for a use case and leverage its advantages. This way I am very flexible to new challenges. Plus, its fun to learn new technologies and languages!

Do you have something in mind? I am always interested in new business opportunities or job inquiries. Contact me: contact@philippmatth.es

Research

8. Juli 2021 » German » Vortrag

OUTPUT.DD: Microservices, DevOps und Containerisierung im Cloud Computing

Projektschau

» Vortragsbeschreibung lesen

8. Juli 2021 » German » Vortrag

OUTPUT.DD: Smartphone-Fotos 3D-ifizieren

Projektschau

» Vortragsbeschreibung lesen

8. Juli 2021 » German » Vortrag

OUTPUT.DD: Kryptografie in Messengern

Projektschau

» Vortragsbeschreibung lesen

February 5 2021 » English » Seminar

Distributed Hash Tables

Distributed Systems

» Download PDF

1. Februar 2021 » German » Dokumentation

Dokumentation über den Neuaufbau der OUTPUT.DD App im WiSe 2020/21

Komplexpraktikum OUTPUT.DD

» PDF herunterladen

30. November 2020 » German » Dokumentation

Erstellung eines Repository-Frameworks für Couchbase zur Migration der OUTPUT.DD iOS App im OUTPUT.DD-Komplexpraktikum

Komplexpraktikum OUTPUT.DD

» PDF herunterladen

17. September 2020 » German » Wissenschaftliche Arbeit

Erstellung und Evaluation eines Gamication-Konzeptes zur Verbesserung der Codequalität eingereichter Lösungen in INLOOP

Großer Beleg

» PDF herunterladen

7. Juni 2018 » German » Seminar

Veritas - ein Machine Learning-Framework für die Performance-Coverage-Analyse von Proxy-Applications

Proseminar

» PDF herunterladen

Blockchain Addresses

Bitcoin (BTC): 3P6oq7n5Sg8xfvqvxtFBacweHy5Uxd7gM3

Bitcoin Cash (BCH): qpqx2pqgen36llcj7678rexn2e2mh5zkmytkthhj6m

Ethereum (ETH): 0x38C1803Ef721495AB4Ec9FDFe6b4a703148e0b43

Ethereum Classic (ETC): 0xa47E139c9885f06a1ea791c1e73ef12af8330F59

Dash (DASH): XxFH93QuiKvDACGWzYrfnfAaxv97nDrr7F

Litecoin (LTC): MUvcsEoeEZN2oDn9URLTV71NtDB2FvQ3vX

Zcash (ZEC): t1VH9B4KbxRnyaQyTMPRZXsBAhLHDRBCr82

PhilippCoin (PHILIPP): 0xe66bA65d2e7c61df343D3Df7A28F94fcd8c06240

Cardano (ADA): addr1v8ech6q2mhrhk2u0rp0zq2u4xhulrnkazyxecvxlffwzm5sq9g0v6

Responsible for this website

Philipp Matthes

Clara-Viebig-Straße 9

01159 Dresden

+49 176 42090978

mail@philippmatth.es

Services

Ubiquitous Applications

Cloud Computing

Machine Learning

Weblinks

Blog on ☕💻.ws

Twitter Profile

Made with ❤️ by Philipp Matthes.

Contribute to this Website