{"id":4175,"date":"2025-02-25T23:22:43","date_gmt":"2025-02-25T15:22:43","guid":{"rendered":"https:\/\/www.hygrothermal.cn\/?page_id=4175"},"modified":"2025-09-18T00:18:25","modified_gmt":"2025-09-17T16:18:25","slug":"%e6%88%b4%e5%b8%8c%e7%a3%8a","status":"publish","type":"page","link":"https:\/\/www.hygrothermal.cn\/index.php\/%e6%88%b4%e5%b8%8c%e7%a3%8a\/","title":{"rendered":"\u6234\u5e0c\u78ca"},"content":{"rendered":"\n
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    xileidai@outlook.com<\/p>\n<\/div>\n<\/div>\n\n\n\n

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    2018.08-2021.08 \u9ea6\u8003\u745e\u5927\u5b66 \u751f\u7269\u533b\u5b66\u79d1\u5b66\u5b66\u9662 \u751f\u7269\u533b\u5b66\u4e13\u4e1a \u535a\u58eb\uff1b
    2015.09-2021.01 \u5929\u6d25\u5927\u5b66 \u73af\u5883\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662 \u4f9b\u70ed\u3001\u4f9b\u71c3\u6c14\u3001\u901a\u98ce\u53ca\u7a7a\u8c03\u5de5\u7a0b\u4e13\u4e1a \u535a\u58eb\uff1b
    2011.09-2015.06 \u91cd\u5e86\u5927\u5b66 \u57ce\u5e02\u5efa\u8bbe\u4e0e\u73af\u5883\u5de5\u7a0b\u5b66\u9662 \u5efa\u7b51\u73af\u5883\u4e0e\u8bbe\u5907\u5de5\u7a0b\u4e13\u4e1a \u672c\u79d1\u3002<\/p>\n\n\n\n

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    2025.02-\u81f3\u4eca \u91cd\u5e86\u5927\u5b66 \u5efa\u7b51\u57ce\u89c4\u5b66\u9662 \u6559\u6388\uff1b
    2024.02-2025.02 \u5357\u6d0b\u7406\u5de5\u5927\u5b66 \u7535\u5b50\u4fe1\u606f\u5de5\u7a0b\u5b66\u9662 \u535a\u58eb\u540e\u7814\u7a76\u5458\uff1b
    2021.07-2024.01 \u65b0\u52a0\u5761\u56fd\u7acb\u5927\u5b66 \u8bbe\u8ba1\u4e0e\u5de5\u7a0b\u5b66\u9662 \u535a\u58eb\u540e\u7814\u7a76\u5458\u3002<\/p>\n\n\n\n

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    \u53c2\u4e0e<\/strong><\/p>\n\n\n\n

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    • 2023-2025 \u65b0\u52a0\u5761\u5168\u56fd\u4eba\u5de5\u667a\u80fd\u4e2d\u5fc3\uff1aDevelopment of NetZero BEMS through AI-based HVAC System Control\uff1b<\/li>\n\n\n\n
    • 2021-2024 \u65b0\u52a0\u5761\u56fd\u5bb6\u81ea\u7136\u7814\u7a76\u57fa\u91d1\uff1aA total building performance approach to real-time occupant centric sensing and control for mixed mode ventilation in the tropics\uff1b<\/li>\n\n\n\n
    • 2016-2019 \u56fd\u5bb6\u201c\u5341\u4e09\u4e94\u201d\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9879\u76ee\uff1a\u201c\u4f4f\u5b85\u901a\u98ce\u7b56\u7565\u4e0e\u5ba4\u5185\u7a7a\u6c14\u8d28\u91cf\u5efa\u8bbe\u201d\u7814\u7a76\u3002<\/li>\n<\/ul>\n\n\n\n
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      \u671f\u520a\u8bba\u6587<\/strong><\/p>\n\n\n\n

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      1. Xilei Dai<\/strong><\/u><\/strong>, Siyu Cheng, Adrian Chong*. Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence. Energy and Buildings<\/strong>, 2023, 278: 112629.<\/li>\n\n\n\n
      2. Xilei Dai<\/strong><\/u><\/strong>, Wenzhe Shang, Junjie Liu*, Min Xue, Congcong Wang. Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges. Science of The Total Environment<\/strong>, 2023, 895: 164858.<\/li>\n\n\n\n
      3. Lizhi Jia, Junjie Liu, Adrian Chong, Xilei Dai<\/strong><\/u>*<\/strong>. Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants. Applied Energy<\/strong>, 2022, 322: 119443.<\/li>\n\n\n\n
      4. Wenzhe Shang, Junjie Liu, Congcong Wang, Jiayu Li, Xilei Dai<\/strong><\/u>*<\/strong>. Developing smart air purifier control strategies for better IAQ and energy efficiency using reinforcement learning. Building and Environment<\/strong>, 2023, 242: 110556.<\/li>\n\n\n\n
      5. Xilei Dai<\/strong><\/u><\/strong>, Junjie Liu*, Yongle Li. A recurrent neural network using historical data to predict time series indoor PM2. 5 concentrations for residential buildings. Indoor air<\/strong>, 2021, 31(4): 1228-1237.<\/li>\n\n\n\n
      6. Xilei Dai<\/strong><\/u><\/strong>, Junjie Liu*, Xin Zhang. A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings. Energy and Buildings<\/strong>, 2020, 223: 110159.<\/li>\n\n\n\n
      7. Xilei Dai<\/strong><\/u><\/strong><\/strong>, Lixiang Huang, Yi Qian*, Shuang Xia, Winston Chong, Junjie Liu, Antonio Di Ieva, Xiaoxi Hou, Chubin Ou. Deep learning for automated cerebral aneurysm detection on computed tomography images. International Journal of Computer Assisted Radiology and Surgery<\/strong>, 2020, 15: 715-723.<\/li>\n\n\n\n
      8. Xilei Dai<\/strong><\/u><\/strong><\/strong><\/strong>, Junjie Liu*, Xin Zhang. Monte Carlo simulation to control indoor pollutants from indoor and outdoor sources for residential buildings in Tianjin, China. Building and Environment<\/strong>, 2019, 165: 106376.<\/li>\n\n\n\n
      9. Xilei Dai<\/strong><\/u><\/strong><\/strong><\/strong>, Junjie Liu*, Xin Zhang, Wenhua Chen. An artificial neural network model using outdoor environmental parameters and residential building characteristics for predicting the nighttime natural ventilation effect. Building and Environment<\/strong>, 2019, 159: 106139.<\/li>\n\n\n\n
      10. Xilei Dai<\/strong><\/u><\/strong><\/strong><\/strong>, Junjie Liu*, Xiangdong Li, Lei Zhao. Long-term monitoring of indoor CO2 and PM2. 5 in Chinese homes: Concentrations and their relationships with outdoor environments. Building and Environment<\/strong>, 2018, 144: 238-247.<\/li>\n\n\n\n
      11. Ruiqing Chen, Junjie Liu, Xilei Dai<\/strong><\/u>*<\/strong><\/strong>. Adsorption equilibrium of ammonia and water on porous adsorbents at low pressure: Machine learning-based models. Journal of Cleaner Production<\/strong>, 2022, 378: 134351.<\/li>\n\n\n\n
      12. Jiangxi Chen, Siyu Shao, Yifei Zhu, Yu Wang, Fujie Rao, Xilei Dai<\/strong><\/u>*<\/strong><\/strong>, Dayi Lai*. Enhanced automatic identification of urban community green space based on semantic segmentation. Land<\/strong>, 2022, 11(6): 905.<\/li>\n\n\n\n
      13. Zhi, Yuan, Tao Sun, Ding Gao, Xiaomeng Chen, Guanqiong Wei, Xilei Dai<\/strong><\/u><\/strong><\/strong>, Xudong Yang*. Achieving net zero energy heating by integrating the building envelope as a thermal battery. Iscience<\/strong>, 2024, 27(6): 109892.<\/li>\n\n\n\n
      14. Yatai Li, Jing Hou, Zukun Wang, Xilei Dai<\/strong><\/u><\/strong><\/strong><\/strong>, Yuexia Sun, Junjie Liu, Yingjun Liu*. Phthalate levels in Chinese residences: Seasonal and regional variations and the implication on human exposure. National Science Open<\/strong>, 2023, 2(6): 20230011.<\/li>\n<\/ol>\n\n\n\n

        \u4f1a\u8bae\u8bba\u6587<\/strong><\/p>\n\n\n\n

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        1. Biao Lu, Yanxiu Yao, Xilei Dai<\/strong><\/u><\/strong><\/strong><\/strong>, Min Jiang, Weinan Gan, Hongmei Ding, Mengfan Hai, Chi Feng*. Simulating the effect of waterproof layer\u2019s vapor permeability on the moisture content of EPS external insulation wall. The 13th International Conference on Sustainable Development in the Building and Environment (SuDBE2025)<\/strong>. (accepted)<\/li>\n<\/ol>\n\n\n\n

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          1. \u5218\u4fca\u6770\u3001\u6234\u5e0c\u78ca<\/strong><\/u><\/strong><\/strong><\/strong>\u3001\u5218\u8fdb\u5b87\u3001\u8d75\u78ca \u8457.\u300a\u4e2d\u56fd\u5efa\u7b51\u8282\u80fd\u5e74\u5ea6\u53d1\u5c55\u7814\u7a76\u62a5\u544a2021(\u57ce\u9547\u4f4f\u5b85\u4e13\u9898)\u300b\u7b2c6\u7ae0\u201c\u57ce\u9547\u4f4f\u5b85\u901a\u98ce\u201d\uff0c\u4e2d\u56fd\u5efa\u7b51\u5de5\u4e1a\u51fa\u7248\u793e\uff0c2021\u3002<\/li>\n<\/ol>\n\n\n\n

            <\/p>\n","protected":false},"excerpt":{"rendered":"

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