Prof. Dr. Markus Mock
Informatik
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Mitglied Promotionszentrum DigiTech
Aufgabengebiete
Laborleiter Mobile und verteilte Systeme
Lehrgebiete
Mobile Systeme, Compiler, Rechnerarchitektur sowie Cloud Computing einschließlich Machine Learning in the Cloud.
Publikationen
- 2026 - FRUTILLA: Real-Time Frost Prediction in Agricultural Environments Based on Sensor Symthesis and Machine Learning
- 2026 - FRUTILLA: Real-Time Frost Prediction in Agricultural Environments Based on Sensor Fusion and Machine Learning,
- 2026 - FRUTILLA: Real-Time Frost Prediction in Agricultural Environments Based on Sensor Synthesis and Machine Learning
- 2025 - Leveraging Dataflow as an Intermediate Representation for Portable Edge Deployments
- 2024 - Distributed Dataflow Across the Edge-Cloud Continuum
- 2023 - Depot: Dependency-Eager Platform of Transformations
- 2023 - Machine Learning for Predicting Photovoltaic Power Generation: an Application on a University Campus
- 2023 - GreenCoin: A Renewable Energy-Aware Cryptocurrency
- 2023 - Laminar: Dataflow Programming for Serverless IoT Applications
- 2023 - Upilio – Reallabor als Energiedatenmanagement
- 2022 - Upilio - Reallabor als Energiedatenmanagement
- 2022 - Upilio: Leveraging the Serverless Paradigm for Building a Versatile IoT Application
- 2021 - An Evaluation of WebAssembly in Non-Web Environments
- 2021 - SFL: A Compiler for Generating Stateful AWS Lambda Serverless Applications
- 2020 - Toci: Computational Intelligence in an Energy Management System
- 2020 - Integration von Ultraschall-Wasserfluss Sensoren in ein Energiemanagementsystem: Siemens SPS versus Raspberry PI; Intelligente Systeme und ihre Komponenten: Forschung und industrielle Anwendung