Dr. Junyang Zhou's Homepage
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IEEE Senior Member (#80407788) |
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Ph.D (2007) of HKBU |
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M. Sc. (2003), B. Sc. (2000) of SYSU |
School of Mathematics Computational Science, SYSU |
Dr. Junyang Zhou is a Results-driven AI leader with 25+ years in Computer Science, Statistics and Applied Mathematics, and 15+ years leading industrial AI transformations in lithium batteries, new energy, consumer electronics, robotics, smart homes, and smartphones manufacturing.
He is Proven C-level executive (reporting to CTO/CIO/VP/President) with a track record of building and scaling AI organizations, architecting enterprise AI platforms, and delivering production-grade solutions.
And he is Recognized for bridging frontier AI with factory-floor impact.
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Key Impact & Leadership:
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1. As AI Director / Digital Intelligence Director at BAK Power, led smart factory AI initiatives: replaced manual inspection with AI vision (zero defects, 20%+ capacity gain), eliminated traditional formation via predictive modeling (3-week time reduction at 1% error), and enabled early-stage aging prediction-aligning with 2025–2026 industry trends in generative AI for battery lifecycle optimization(first 5-10% data forecasts 80% SOH decay within 1% error, 50%+ R&D boost). Recognized as 2025 Manufacturing Digital Pioneer by CIO Era.
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2. As AI Head at SVOLT, built AI platforms and teams, earning 2021 High-Tech Lithium Battery Intelligent Factory Gold Award; as AI Algorithm Director at Anker Innovations, delivered unified detection frameworks and AI SDK across multi-product lines.
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3. Specialized in multimodal human-machine interaction, perception computing, embodied / physical AI, and pervasive computing—applied to industrial robotics, battery predictive maintenance, dynamic zero-shot adaptation, and GenAI-augmented process and material design in manufacturing.
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4. IEEE Senior Member(#80407788)；80+ patents; IEEE publications (2025 IEEE Access communications author on self-supervised enhancement for prediction); 2019 Wu Wenjun AI Award (Midea); multiple industry honors.
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工业人工智能与智能制造领导者:
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1. 计算机科学、应用数学及数理统计领域25年以上深厚积累，工业人工智能与智能制造15年以上实战领导经验，覆盖锂电池制造、新能源、消费电子、工业机器人、智能家居及智能手机等领域。
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2. 多次担任C级汇报角色（直接向CTO、CIO、副总裁、总裁汇报），擅长从0到1组建并规模化AI团队、架构企业级AI平台、交付生产级解决方案、规划并实施数字化、智能化战略。
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3. 熟练应用生成式AI（GenAI）、多模态大模型(LLM)、具身智能与AI Agent，实现感知-决策-行动闭环，驱动产线产能提升、工艺流程优化、研发效率提升，显著推动企业数智化转型与核心竞争力跃升。
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核心业绩与领导力亮点:
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1. 在深圳市比克动力电池担任人工智能总监 / 数字智能总监期间，主导产线AI视觉智能质检落地(CCD替代人工，实现0漏检 + 产能提升20%+)；推动AI预测建模替代传统静置分容工艺（误差＜1%，缩短3周时间）；集成GenAI / 多模态大模型赋能电池老化与SOH预测（前5-10%数据预测80%SOH及计算衰减拐点，误差＜1%，研发效率提升50%+），对齐2025-2026电池全生命周期GenAI趋势。获CIO时代评为2025制造业数字化先锋。
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2. 在蜂巢能源担任人工智能负责人，规划并落地企业级AI技术平台，打通数据-算法-应用全链路；构建计算机视觉 + 仿真 + 数据分析共性能力体系，支持灯塔工厂建设与预测性维护。项目荣获 2021高工锂电智能工厂金球奖。
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3. 专业聚焦具身AI(Embodied AI)/物理AI(Physical AI)、多模态人机交互、感知计算与普适计算，应用于工业机器人、电池预测性维护、动态产线零样本适应与GenAI增强工艺与材料设计。
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4. IEEE Senior Member（#80407788）；80+项专利（持续布局工业AI领域与具身智能领域）；IEEE论文（2025 IEEE Access通讯作者，自监督分类提升预测性能）；2019吴文俊人工智能科技进步奖；多项行业认可，包括2025制造业数字化先锋。
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Office/办公地点:
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Shenzhen, Guangdong, China. / 中国， 广东， 深圳
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