Summary
Work History
Education
Skills
Research Experience and Publication
Presentations and challenges
Languages
08
Togan Tlimakhoff Yusuf

Togan Tlimakhoff Yusuf

Engineering
Sherbrooke,QC

Summary

Experienced with applying engineering principles to challenging problems, leading to impactful solutions. Utilizes research skills and technical knowledge to enhance operational efficiency—track record of effective team collaboration and project completion.

Work History

Research Intern

Nanoacademic Technologies
02.2024 - 06.2024
  • Conducted research on multiscale simulations of superconducting quantum circuits, achieving over 20% increase in simulation accuracy and reducing computation time by 35%.
  • Developed and optimized FEM commercial software for novel superconducting circuit designs.
  • Collaborated with researchers to develop optimized tensor network methods using Python and Julia.

STAR Research Scholar

TÜBİTAK - Scientific and Technological Research Council
01.2022 - 07.2022
  • Conducted research on Deep Learning techniques for RF fingerprinting.
  • Collaborated with a hardware team to achieve over 95% accuracy in classifying NFC devices, significantly surpassing previous benchmarks.
  • Developed and implemented methods to estimate and compensate I/Q imbalance.

Research Intern

CERN
06.2021 - 10.2021
  • Engineered ML applications for high-energy physics in collaboration with IBM and Google, utilizing TensorFlow and PyTorch.
  • Enhanced Higgs boson process simulations with generative models, achieving a 40% reduction in computational costs and a 35% decrease in simulation time compared to previously implemented Monte Carlo methods.
  • Developed hybrid classical-quantum GAN models, highlighting the limitations of current quantum hardware compared to classical models.

Education

Graduate (non-thesis Master's) - Physics

Université De Sherbrooke
Sherbrooke, QC, Canada
12.2024

Bachelor of Science - Electrical And Electronics Engineering

Ankara University
Ankara, Turkey
07.2022

Skills

  • Python
  • C
  • MATLAB
  • NumPy
  • Deep learning frameworks (PyTorch/TF)
  • Generative adversarial networks
  • Embedded systems development
  • Finite element analysis
  • CAD modeling
  • Reinforcement learning

Research Experience and Publication

  • Tunable coupler for universal control of a superconducting cavity through high-fidelity conditional displacements; APS March Meeting (Presenter) - Session: MAR-B17
  • On-chip bosonic quantum error correction with a parametrically coupled heavy fluxonium control qubit; APS March Meeting - Session: MAR-J17
  • Stabilization and logical operation of GKP qubits in a fully 2D architecture; APS March Meeting - Session: MAR-J17
  • Modified Layerwise Learning for Data Re-uploading Classifier in HEP Event Classification; IEEE - DOI: 10.1109/QCE52317.2021.00024
  • Quantum GANs for Higgs boson ttH process Data Generation; CERN openlab - DOI: 10.5281/zenodo.5577410
  • An Efficient Optimization Method: Natural Gradient Descent; Ankara University Department of Electrical and Electronics Engineering

Presentations and challenges

  • Presenter, Canadian Graduate Quantum Conference, 01/24/23 - 01/26/23, University of Waterloo
  • Presenter, Conference on Quantum Technologies for HEP, 11/01/22 - 11/04/22, CERN openlab
  • CERN Webfest: Self-supervised learning for wearable sensors data classification; Building Act.App - AI-powered app for Healthcare, 08/22
  • Presenter, IEEE Quantum Week, QAA-4: Quantum Algorithms & Applications 4, 17/06/21 - 22/06/21, IEEE
  • QHack 2021: The Quantum Machine Learning Hackathon - Xanadu; Runner–up and winner of the grand CERN internship, 02/21

Languages

Turkish
Native or Bilingual
English
Full Professional
German
Professional Working
French
Elementary (A2)

Similar Profiles

CREATE PROFILE
Togan Tlimakhoff YusufEngineering