Muddsair Sharif

Akademische Mitarbeiter- Machine Learning

Muddsair Sharif
Studienbereich:
Informatik
Studiengang:
澳门太阳城赌城,菠菜导航网 Software Technology
Büro:
2/221
Kompetenzzentrum:
  • Digitalisierung in Forschung, Lehre & Wirtschaft

Vita

  • 2023 -.....

    Researcher - Machine Learning, HfT Stuttgart, Germany

  • 2018-2022

    Researcher- High Performance Computing, HfT Stuttgart, Germany

  • 2016-2018

    Researcher IoT- Antwerpen, Belgium

  • 2006-2010

    Software Engineer, ITTS Pakistan

Forschung

M4_LAB Innovative Hochschule

HFT-lnnovationslabor für die Metropolregion 4.0

Zum Projekt

Meeting eines Teams

KNIGHT

Künstliche Intelligenz für die Lehre an der HFT Stuttgart

Zum Projekt

Ver?ffentlichungen

  • 2024

    Sharif, M.; Uckelmann, D. (2024) KNIGHT: Machine Learning Methods to Enhance Individualized Learning. 5th Int. Conference on AI in Education Technology (AIET). 29.7.-31.7.2024, Barcelona, Spanien.

  • 2024

    Sharif, M.; Uckelmann, D. (2024) Multi-Modal LA in Personalized Education using Deep Reinforcement Learning Based Approach. IEEE Access, vol. 12, S. 54049-54065. DOI: 10.1109/ACCESS.2024.3388474 . https://ieeexplore.ieee.org/document/10499810

  • 2023

    Bhavasar, J.; Sharif, M.; Uckelmann, D. (2023) Enhancing Personalized Learning Experiences: Leveraging Multi-Modal Learning Analytics Dashboards. Proceedings of the 7th International Academic Conference on Education, London, 2023. ISBN: 978-609-485-470-5 .

  • 2023

    Sharif, M., Munz, F., Uckelmann, D. (2023). KNIGHT Learning Analytics Architecture for Betterment of Student Education. In: Schlippe, T., Cheng, E.C.K., Wang, T. (Hrsg.) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-99-7947-9_4

  • 2022

    ARaaS: Context-Aware Optimal Charging Distribution Using Deep Reinforcement Learning

  • 2021

    iMobilAkou: The Role of Machine Listening to Detect Vehicle using Sound Acoustics

  • 2020

    COaaS:Continuous Integration and Delivery framework for HPC using Gitlab-Runner

  • 2020

    Context-Aware optimal charging distribution using Deep Reinforcement Learning

  • 2019

    Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency

  • 2019

    Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing

  • 2019

    Context-Aware Distribution In Constrained IoT Environments

  • 2019

    Demonstrating Innovative Technologies for the Flemish Asphalt Sector CyPaTs.

  • 2018

    A particle Swarm Optimization-based Heuristic for Optimal Cost Estimation in Internet of Things Environment

  • 2018

    Context-Aware Optimization of Distributed Resources in Internet of Things Using Key Performance Indicators

  • 2017

    IT in Road Construction: Recommendations for the Development of Production, Transport and Paving Data Storage in the Flemish Region

  • 2017

    Towards real-time smart road construction ?through the implementation of IoT

  • 2017

    Context-aware optimization of distributed resources in IoT

  • 2006

    On fast recognition of isolated characters by constructing character signature

Weiteres

Autonomous Vehicle
Resource Optimality Electric Vehicle
Context Aware- Resource Optimisation in Electric Vehicle Smart2Charge.
Context-Aware- Multi-Objective Optimisation in Constraints Environment.