Jiazhen Zhu Download

Jiazhen Zhu

Adjunct Faculty,  Multidisciplinary Graduate Engineering Programs

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About

Jiazhen Zhu is a seasoned engineering leader and AI practitioner with over 13 years of experience in data engineering, machine learning, and large-scale system design. He has led the development of end-to-end data platforms, real-time analytics pipelines, and applied AI solutions across diverse domains. Holding advanced degrees in Computer Science, Machine Learning, and Business Administration, Jiazhen brings both technical depth and strategic insight to his work.

A recognized voice in the tech community, Jiazhen is a member of the Forbes Technology Council and has been featured and published on Forbes Technology, with additional recognition in New York Times Square by Topmate. His thought leadership includes peer-reviewed research, technical blogs, and frequent university lectures, reflecting a commitment to advancing the field and supporting the next generation of engineers. As an educator and mentor, he is passionate about bridging academic theory with industry application—helping students develop the mindset, skills, and tools needed to thrive as impactful technology leaders.

Jiazhen designs his courses and mentorship programs to seamlessly connect academic theory with real-world application across data engineering, data science, machine learning, and software engineering. His teaching emphasizes industry-relevant tools, collaborative development workflows, and scalable system architecture, delivered through immersive hands-on labs and project-based learning. By integrating emerging technologies such as Generative AI (GenAI) and Vibe coding, along with modern engineering practices, he prepares students to lead and innovate in today’s rapidly evolving tech ecosystem.

Education

  • NYU Stern School of Business, USA
    Master of Business Administration – MBA
  • Georgia Institute of Technology, USA
    Master of Science, Analytics (Computational Data Analytics Track)
  • The George Washington University, USA
    Master of Science, Computer Science
  • Shanghai University, China
    Bachelor of Science, Computer Science

Selected Publications

  • Long Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, and Fang Jin: Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction. In: The 23rd Pacific-Asia conference on Knowledge Discovery and Data Mining (PAKDD), Accept rate 24.7%. April 14-17 2019.
  • Jiazhen, Zhu, Yuchun, Fang, Pengjun, Ji, Abdl, Moad-EL, Wang, Dai: RRAR: A novel reduced- reference IQA algorithm for facial images. In: Image Processing (ICIP), 2011 18th IEEE International Conference on, pp.
    3313-3316 (2011)