Sheikh Usman Ali

Sheikh Usman Ali

Student Research Assistant

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  • Timeline

  • About me

    Software Engineer @ Emerson at NI | Master of Engineering

  • Education

    • Beaconhouse

      2012 - 2015
      High School Diploma PHYSICAL SCIENCES

      Cambridge GCSE O'levels

    • University of Aberdeen

      2019 - 2019
      Bachelor of Science - BS Erasmus Exchange Electrical, Electronics and Communications Engineering

      Focus on Electronics and Software Engineering

    • Technical University of Munich

      2020 - 2023
      Master of Science - MS Communications Engineering ECTS: good

      Activities and Societies: MSCE-Connect Program: MSc. Communications EngineeringThesis: Synchronization and Signal Detection in Wireless Communications: A Deep Learning ApproachSupervisor: Luis Maßny, Dr. Alberto Viseras (Motius GmbH)at Institute for Communications Engineering TUM

    • Lahore Grammar School

      2015 - 2017
      High School Diploma Cambridge A level 4 As in Mathematics Physics Chemistry and Biology

      100% Scholarship

    • Jacobs University Bremen

      2017 - 2020
      Bachelor of Science - BS Electrical Engineering and Computer Science ECTS: A

      Thesis: Implementation and evaluation of 5G Positioning Reference Signal (3GPP Rel.16) (Grade:100%) Supervisor: Prof. Dr. Giuseppe Thadeu Freitas de Abreu & MA. Ivana Lukcin (Fraunhofer IIS)Specialization in Communications, specifically Wireless PHY/MAC and Coding. Minor in Automation and Control Engineering.

    • Technische Hochschule Ingolstadt

      2024 - 2026
      Master of Engineering - MEng AI Engineering of Autonomous Systems
  • Experience

    • Jacobs University Bremen

      Apr 2019 - May 2019
      Student Research Assistant

      Developing and debugging series of Monte-Carlo Simulations in Matlab. Optimizing previously existing code and including algorithms for psychological experiments: "multiattribute attention switching (MAAS) model" and "Multi-stage sequential sampling models with finite or infinite time horizon and variable boundaries" for Professor Dr. Adele Diederich.

    • Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EAS

      Jun 2019 - Aug 2019
      Research Assistant Intern

      Ray-tracing Scenario generation and Post-processing for Oktal-SE SE-NAV.

    • Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EAS

      Jan 2020 - Oct 2021

      Channel Modeling using QuaDRiGa (QUAsi Deterministic RadIo channel GenerAtor) and SE-NAV Ray-tracing Machine Learning based Non-Line-of-sight NLOS and LOS Multipath signal detection for 5G and GNSS Satellite using Python.Multipath severely harms the localization accuracy of GNSS and 5G signals. Through the study of channel models and simulation of real environments via Ray-Tracing we are able to accurately predict what kind of signal it is and further on allows mitigation of NLOS signals. In the end we are able to get close to centimetre level accuracy indoors where GPS hardly even works. Show less

      • Student Research Assistant

        Aug 2020 - Oct 2021
      • Thesis Work

        Jan 2020 - Jul 2020
    • Fraunhofer IIS

      Oct 2021 - Aug 2022

      Kalman Filter for sensor-fusion of TDOA based indoor localization Machine Learning based multipath mitigation extraction for 5G and GNSS signalsTime of Arrival based PositioningLocalization and Positioning

      • Research Assistant

        Dec 2021 - Aug 2022
      • Research Intern

        Oct 2021 - Nov 2021
    • Motius

      Jun 2022 - Apr 2023
      Tech Specialist - Communications Engineer

      Wireless Communications Engineer in FunKI project. Channel Estimation using Deep Learning for V2V Dedicated Short Range Communications (DSRC), OFDM based IEEE 802.11p WiFi Standard. Master Thesis: Synchronization and Signal Detection in Wireless Communications: A Deep Learning Approach

    • NI (National Instruments)

      May 2023 - now
      Software Engineer 6G Research, Product R&D | NI Test & Measurement at Emerson

      Development of AI/ML-based 6G communication systems and research on suitable test systemsTrain/Deploy/Test TensorFlow/Keras based Deep Learning Models including ResNet based DeepRx Neural Receiver and Recurrent Neural Networks such as LSTM, BiLSTM, GRU, and simple RNN based DPD models for prototyping and benchmarking communication systems and their hardware implementations on NVIDIA GPUs and Open Air Interface (OAI)Presentation of research results at internal and external events at internal technical talks as well asexternal presentations Show less

  • Licenses & Certifications

    • Machine Learning Engineering for Production (MLOps) Specialization, Introduction to Machine Learning in Production

      Coursera
      Jul 2022
      View certificate certificate