Machine Learning Application in Building Energy Performance
Course Title:
Machine Learning Application in Building Energy Performance
Session Syllabus:
9:15 – 10:00 | Academic session | Introduction to AI in construction industry Brief about:
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10:15 – 11:00 | Academic session | Presentation of some AI-based project examples that are already conducted
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11:15 – 12:00 | Mixed session |
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13:00 – 15:15 | Hands on session | Exercises:
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Instructor’s Biography:
Fulvio Re Cecconi is an Associate Professor in the Department of Architecture, Built Environment, and Construction Engineering at Politecnico di Milano. He is a leading researcher and expert in building technology and construction management, with research interests in Asset Management, Whole Life cycle Performance of Building, Building stock retrofit, and Project Risk Management. Currently, he is exploring opportunities for built environment digitalization and Artificial Intelligence application for asset management. He also has a rich professional background as a construction project manager, planning director, and construction safety manager. After 15 years of professional experience in the industry, he returned to academia to share his unparalleled knowledge and experience with the young generation as a professor in building technology, project management, and operation and maintenance management tracks. He is the author of hundreds of publications in accredited journals and conferences, which have received massive recognition from international academic communities.