Houzhi Wang / 王厚植
个人资料与引用 Profile & sources
更新 / Updated:
本页整理日期，不代表任职、项目或成果已于该日获得外部核验。
Record editing date, not independent verification of appointments, projects, or results.
身份 / Identity
事实陈述 / Factual claim
王厚植（Houzhi Wang），材料科研工作者与 AI 原生创业者，关注桥面铺装、高性能道路材料与智能养护。
Houzhi Wang, materials researcher and AI-native entrepreneur focused on bridge-deck pavements, high-performance road materials, and intelligent maintenance.
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
研究方向 / Research focus
事实陈述 / Factual claim
网站列出的研究方向包括环氧沥青、多源数据融合、材料信息学、知识图谱、自动化实验与科研成果转化。
Listed research interests include epoxy asphalt, multisource data fusion, materials informatics, knowledge graphs, automated experimentation, and research translation.
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
任职 / Appointments
事实陈述 / Factual claim
网站履历列出：东南大学助理研究员（2021 年 1 月起）；南京现代综合交通实验室副研究员、人工智能应用研究部负责人（2023 年 9 月起）。
The website lists Assistant Researcher at Southeast University (from January 2021) and Associate Researcher and Head of the AI Applications Research Department at Nanjing Modern Comprehensive Transportation Laboratory (from September 2023).
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
教育背景 / Education
事实陈述 / Factual claim
网站教育经历列出：阿德莱德大学学士（一等荣誉，2010–2013）与机械工程博士（2014–2018）。
The website lists a bachelor's degree with First Class Honours (2010–2013) and a Ph.D. in Mechanical Engineering (2014–2018), University of Adelaide.
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
研究理念 / Research approach
观点 / Opinion
科研应结合材料科学、人工智能与工程验证，让研究走向真实应用。
Research should connect materials science, AI, and engineering validation to support real-world applications.
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
探索与规划 / Plans & exploration
规划／探索 / Plan / exploration
通过 Asphalt.AI 探索感知、决策、材料、验证、执行与反馈的闭环；探索英智原 OPC 社区与 OPC.bot 的 AI 协作。
Develop a sensing–decision–materials–validation–execution–feedback loop through Asphalt.AI, and explore AI collaboration through the Yingzhiyuan OPC Community and OPC.bot.
本人陈述 / Self-reported · 来源 / Source: www.dr.wang ↗
平台发布 / Platform release
事实陈述 / Factual claim
南京日报于 2026 年 4 月 30 日报道王厚植牵头研发的 Asphalt.AI 发布；报道描述的阶段以合作试用、联合研发、项目接入和定向部署为主。
Nanjing Daily reported the release of Asphalt.AI, led by Wang Houzhi, on 30 April 2026. The report describes partner trials, joint R&D, project integration, and targeted deployment at that time.
外部报道 / External reporting · 来源 / Source: www.nanjing.gov.cn ↗
证据边界 / Evidence boundaries
本人资料与外部报道分别标注来源。网站已有 ORCID、论文 DOI、专利编号及媒体报道，可沿链接核查；本页未逐一复核全部成果及专利的最新法律状态。媒体报道支持相应发布日期的事件陈述，不等于全部功能的定量性能验证。规划不等同于已完成成果。
Self-reported claims and external reporting carry separate source labels. The site provides an ORCID, publication DOIs, patent identifiers, and media sources for follow-up verification. This page does not independently recheck every work or current patent legal status. Reporting supports events at its publication date, not quantitative validation of every capability. Plans are not completed results.
成果与身份来源 / Research outputs & identity
- ORCID
个人研究标识 / Research identifier (linked by this website)
- 论文、基金与专利 / Publications, grants & patents
论文 DOI、作者顺序、基金起止时间与专利类型 / DOIs, authorship, grant periods and patent types
- 媒体报道与荣誉 / Press & honors
原始报道链接、日期与本人贡献 / Original reports, dates and contribution roles
- 电子名片 / Digital card
公开联系信息与 vCard / Public contact details and vCard
项目与产品方向 / Projects
- Asphalt.AI
已发布；合作试用（2026-04-30 报道） / Released; partner trials (reported 2026-04-30)
连接道面检测、养护决策、材料匹配、实验验证、施工执行与效果反馈的行业级 AI 平台。
An industry AI platform connecting pavement inspection, decisions, materials, experiments, construction, and feedback.
将现场与实验室的多模态数据转化为可解释、可追溯、适配具体场景的养护决策。
It turns multimodal field and laboratory data into traceable, scenario-aware maintenance decisions.
- AsphaltGPT
项目介绍；发布状态尚未核实 / Project description; release status unverified
面向道面材料与养护决策的行业知识引擎。
A domain knowledge and decision engine for pavement materials and maintenance.
融合专业文献、规范标准、工程案例与材料数据，生成可解释、可复核的专业建议。
It connects literature, standards, engineering cases, and materials data to generate explainable, auditable recommendations.
- AI Lab
项目介绍；发布状态尚未核实 / Project description; release status unverified
面向数据驱动科研的多模态材料数据库与知识图谱。
A multimodal materials database and knowledge graph for data-driven research.
关联材料组成、制备工艺、试验条件、微观结构、性能指标与实验结论，让证据可复用、可追溯。
It links composition, processing, test conditions, microstructure, performance, and conclusions so evidence can be reused and traced.
- AutoLab.bot
项目介绍；发布状态尚未核实 / Project description; release status unverified
以自动化、高通量实验加速材料方案验证。
Automated, high-throughput experiments for faster and more reproducible materials validation.
全过程记录实验参数、环境条件与测试结果，提高重复性与数据可靠性，缩短从配方到工程证据的路径。
The system records parameters, conditions, and results throughout the workflow, shortening the path from formulation to engineering evidence.
- Asphalt.bot
项目介绍；发布状态尚未核实 / Project description; release status unverified
面向病害感知、状态评估与施工协同的现场智能系统。
Field intelligence for pavement distress sensing, condition assessment, and execution coordination.
将影像、点云、激光扫描、车辙指标与历史养护记录转化为可用于决策的结构化信息。
Images, point clouds, laser scans, rutting indicators, and maintenance records become structured inputs for faster decisions.
- OPC.bot
概念探索 / Concept exploration
服务英智原 OPC 社区的 AI 原生协作助手。
An AI-native collaboration assistant for the Yingzhiyuan OPC community.
把知识、工具与执行汇入同一工作空间，帮助个体创新者围绕目标协同多种角色。
It brings knowledge, tools, and execution into one workspace, helping individual innovators coordinate multiple roles around a focused goal.
合作与联系 / Contact
hello@dr.wang来源 / Source: 网站联系信息 / Website contact
建议引用格式 / Citation
Dr. Wang. Personal profile and project directory. 2026-09-30. https://www.dr.wang/profile.
请附访问日期和对应章节地址，并保留事实、观点、规划及证据边界。
Include your access date and the relevant section URL. Preserve claim types and evidence limitations.