Jordan Fung

M.S. Computer Science ’25

I’m a passionate software engineer, AI/ML researcher and STEM educator, currently based in Hong Kong. 

My interests in technology stem from a young age, having developed multiple award-winning projects throughout my studies. At the age of 16, I was exceptionally granted early admission with scholarship to the Technion – Israel Institute of Technology in Haifa, Israel, where I graduated in August 2023 with a degree in mechanical engineering.

I’m currently pursuing a master’s in computer science remotely at Georgia Tech. My research interest lies in the application of AI/ML methods across various fields, including engineering, digital media, and education. I’m actively seeking opportunities in software engineering and applied AI/ML research, so feel free to reach out!

Education

  • M.S. Computer Science, Machine Learning Specialization, Georgia Institute of Technology, Atlanta, GA (Expected Graduation: Aug 2025)
  • B.S. Mechanical Engineering, Robotics and Control Specialization, Technion – Israel Institute of Technology, Haifa, Israel (2019 – 2023)

Selected Projects

  • Viralizard AI (2023 – Present)
    Full-stack SaaS platform for social media trend analysis and content creation using Generative AI. Received a 6-month, HK$100K Cyberport Creative Micro Fund grant in the Sep 2023 cohort. Commercial operations under Lizard Digital Solutions (HK) Limited. (Pitch Deck) (Website)
  • Technion AEHR (2022 – 2023)
    Final-year project with mechanical CAD design, control software, and AI planning simulations for agricultural robotics. Graded 1st place among student projects at the Technion Center for Manufacturing Systems and Robotics. (Video) (Poster)
  • PEDOSA Ecosystem (2015 – 2020)
    Web-based platform for modular IoT development and STEM education. Recognised at the UN World Summit Awards, European Youth Award (mYouth), Hong Kong ICT Awards. Innovation Patent 2018102088 AU, Registered Design 1801360.3 HK. (Website)

Research Publications

  • Fung, J. (2023) Convolutional Neural Network Approach for Surrogate Modelling of the Torsion Problem. IEEE 3rd ICIMIA, Dec 2023. DOI: 10.1109/ICIMIA60377.2023.10426149 (IEEE Xplore) (PDF)
  • Kwok, P., Chen, J., Fung, J. (2022) Two-way Knowledge Transfer Among University Academics, Young Entrepreneurs, NGOs and Students in STEM and IoT Metaverses. APSCE 30th ICCE. (PDF)
  • Kwok, P., Chen, J., Fung, J. (2022) A Curriculum Package of Social and Ethical Concerns In Metaverse Ecosystem In School Education Based On Bloom’s Taxonomy. APSCE 30th ICCE. (PDF)

Skills

  • Full-stack web and app development using JavaScript, React, Expo, Node.js, Postgres, MongoDB
  • Machine learning, deep learning, and scientific computing using Python, TensorFlow, PyTorch, MATLAB
  • Software-as-a-Service (SaaS), DevOps and MLOps
  • K-12 STEM education course design and delivery
  • Robotics control, mechanical engineering CAD design using SolidWorks, Creo
  • Trilingual proficiency in English, Cantonese and Mandarin; limited French and Hebrew

Links

Research Profiles