IEEE Senior Member · Industrial AI Leader

Frontier AI,
Factory-Floor Impact

I am Dr. Junyang Zhou, working across Industrial AI, AI Safety, Safety OS, Vision Operating Systems and AI Agents to connect research, safety engineering, production systems and verifiable industrial value.

Dr. Junyang Zhou, Industrial AI and intelligent manufacturing expert
Dr. Junyang Zhou · Shenzhen
25+years in computing & applied mathematics
15+years leading industrial AI
80+patents across AI and intelligent systems
50%+R&D efficiency gain with GenAI

Academic depth.
Industrial impact.

25+ years across computer science, statistics and applied mathematics; 15+ years leading industrial AI transformation.

I translate advanced AI into reliable quality, shorter R&D cycles and more productive factories. As a C-level reporting executive working with CTOs, CIOs, VPs and presidents, I have built AI organizations from zero, architected enterprise platforms and delivered production-grade systems across lithium batteries, new energy, consumer electronics, robotics, smart homes and smartphone manufacturing.

From intelligent perception
to verifiable safety

Connecting AI Safety, Safety OS, vision runtimes and industrial agents in a production-grade loop.

01

AI Safety

Risk reasoning, safety supervision, graceful degradation and verifiable AI for industrial systems

02

Industrial Safety OS

3D ToF, camera, AGV, robot and PLC integration with an auditable Safety Case

03

Vision Operating System

A real-time industrial runtime connecting perception, reasoning, decisions and execution

04

Industrial AI Agents

LLM/VLM intelligence and manufacturing workflows operating inside the production loop

Measurable results,
delivered in production

2022 — 2026

BAK Power

AI Director / Digital Intelligence Director

Led AI transformation across battery R&D, production and lifecycle management.

  • Replaced manual inspection with AI vision: zero missed defects and 20%+ capacity gain
  • Predictive modeling shortened the production cycle by three weeks at <1% error
  • Used the first 5–10% of data to forecast 80% SOH and decay inflection points, lifting R&D efficiency by 50%+
2021 — 2022

SVOLT Energy

Head of Artificial Intelligence

Built an enterprise AI platform and scaled intelligent-factory capabilities.

  • Connected data, algorithms and applications in an end-to-end platform
  • Established shared computer vision, simulation and analytics capabilities
  • Enabled predictive maintenance and lighthouse-factory programs
2020 — 2021

Anker Innovations

AI Algorithm Director

Delivered unified AI SDKs and detection frameworks across consumer product lines.

  • Built reusable visual-defect detection architecture
  • Advanced multimodal perception and pervasive-computing engineering
  • Scaled algorithm capabilities across multiple product businesses

Research roots.
Industry recognition.

Ph.D. in Computer Science, Hong Kong Baptist University (2007); M.Sc. in Probability & Mathematical Statistics (2003) and B.Sc. in Applied Mathematics (2000), Sun Yat-sen University.

Professional

IEEE Senior Member

Member #80407788; long-standing work in computing, pervasive systems and industrial intelligence.

Award · 2025

Manufacturing Digital Pioneer

CIO Era recognition for industrial digitalization leadership.

Award · 2021

Intelligent Factory Gold Award

Enterprise AI platform and intelligent-factory program at SVOLT.

Award · 2019

Wu Wenjun AI Science & Technology Award

Recognition for AI innovation and industrial application at Midea.

Research · 2025

IEEE Access Corresponding Author

Self-supervised enhancement for industrial prediction and classification.