Shehbaz Tariq
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Dr. Shehbaz Tariq

Postdoctoral Researcher · SIGCOM Group · SnT, University of Luxembourg

Quantum reservoir computing, quantum machine learning, quantum MIMO.

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Full biography

Shehbaz Tariq received the B.S. degree in Electrical Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan, in 2020, and the Ph.D. degree in Electronics and Information Convergence Engineering from Kyung Hee University, South Korea, in 2025. He is currently a Postdoctoral Researcher with the SIGCOM group, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests include quantum machine learning, quantum information science, and artificial intelligence for 6G and beyond.

Dr. Shehbaz Tariq

Postdoctoral Researcher
SnT, University of Luxembourg

199

Citations

7

h-index

7

i10-index

Updated Oct 29, 2026

Google Scholar

Professional path

Experience

Research appointments and earlier roles.

  1. Apr 2025 — Present

    Current

    Postdoctoral Researcher

    University of Luxembourg

    Signal Processing and Communications (SIGCOM) Group · Interdisciplinary Centre for Security, Reliability and Trust

    University of Luxembourg logo
    • Research on quantum MIMO systems and quantum reservoir computing.
    • Optimization and quantum machine learning techniques for wireless communication systems.
    • Collaboration with academic and industrial partners on large-scale European research projects.

    Luxembourg

  2. Mar 2021 — Mar 2024

    Fellow and Research Assistant

    Kyung Hee University

    Communications and Quantum Information Laboratory

    Kyung Hee University logo
    • Mentored undergraduate and graduate students in quantum information science research.
    • Led group seminars on quantum machine learning and AI.
    • Coordinated teams on large-scale R&D projects, including projects funded by the National Research Foundation of Korea (NRF).

    Yongin, South Korea

  3. Mar 2019 — Aug 2019

Academic background

Education

  1. Mar 2021 — Aug 2025

    Ph.D. in Electronic and Information Convergence Engineering

    Kyung Hee University

    Integrated M.S.–Ph.D. program, specialization in quantum computing and machine learning

    Kyung Hee University logo
    Dissertation
    Hybrid Quantum–Classical Computing for 6G Networks: Algorithms, Applications, and System Integration
    Advisor
    Prof. Hyundong Shin
    CGPA
    4.28 / 4.50

    Yongin, South Korea

  2. Aug 2016 — Sep 2020

Hosted stays

Research Visits

Invited visits to partner groups, with the host and the work each one supported.

  1. Oct 2026 — Nov 2026

  2. Oct 2023

Technical Skills

I use these tools intensively in my research workflow.

Programming and scientific computing
Python, MATLAB, NumPy, SciPy, and CVXPY for numerical modelling and optimization; Bash and PowerShell for workflow automation.
Quantum computing
QuTiP, Qiskit, PennyLane, Pulser, and QoolQit for quantum simulation and algorithm development.
Machine learning
PyTorch, TensorFlow, scikit-learn, and Stable-Baselines3 for machine learning and reinforcement learning experiments.
High-performance computing
CPU and GPU research workloads on ULHPC Aion and Iris; Slurm batch jobs, interactive allocations, and reproducible Conda environments.
Research software
Git, GitHub Actions, and automated testing for versioned code and reproducible experiments.
Scientific writing and visualization
LaTeX, TikZ, PGFPlots, and Zotero for manuscripts, scientific diagrams, plots, and reference management.