brief CV

Linked-in profile

Education

• Ph.D. in Electrical Engineering, City University of Hong Kong, 2022
  • exchange to Danish Technical University - Fotonik, 2021
• M.Sc. in Mechatronics, University of Souther Denmark, 2016
  • excahgne to National University of Singapore, 2016
• B.Sc. in Mechatronics, Brno University of Technology, 2014

Work experience

• 2023: R&D Researcher
  • Huawei
  • Goal: Inference optimization of Large Language Models (LLMs), Supervised Transfer Learning for Design Space Exploration (DSE) of Power, Performance, Area (PPA) for CPU architecture optimization.
• 2021: Data Scientist
  • SolarGIS
  • Goal: Detection of anomalies related to 1-axis and 2-axis trackers from irradiation data.
• 2017: Research Assistant
  • City University of Hong Kong
  • Goal: Acceleration of heuristic search algorithms using FPGA-SoC platform.

Skills

• strong background in mechanics, electroncis, programming and data science
• passion for research (try/fail/adjust/repeat/learn)
• programming (C/C++, CUDA, OpenMPI, VHDL, Python, Lua script) for SoC, FPGA, GPU, cluster/super-computer platforms

Publications

Diagnostic module for series-connected photovoltaic panels

Dataset of I-V characterization and EL imaging for accelerated testing of monofacial and bifacial PV cells

PV-4-wire measurement setup Permalink

A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging

Service and leadership

• Board-game session organizer
• Swing-dance teacher
• Mentor and Group leader in Nexteria
• CyberPort Business competition
• Hackatons

Hobbies

• 3D printing
• Swing dancing