Prof. Ravi S. Srinivasan

University of Florida, USA

Email: [email protected]

Qualifications

2010 Ph.D, Architecture (Building Technology), University of Pennsylvania, USA

2004 M.Sc., Architecture (Building Technology), University of Pennsylvania, USA

2002 M.Sc., Civil Engineering, University of Florida, USA

1996 B.Sc., Architecture, National Institute of Technology, India

Publications (Selected)

1. Arbulu, M., Oregi, X., Etxepare, L., Fuster, A., & Srinivasan, R. S. (2024). Decarbonisation of the Basque Country residential stock by a holistic enviro-economic assessment of renovation strategies under the life cycle thinking for climate risk mitigation. Sustainable Cities and Society, 117, 105963.
2. Zhang, H., Srinivasan, R., Yang, X., Ganesan, V., & Zhang, H. (2024). Diurnal variation of indoor air pollutants and their influencing factors in educational buildings: A case study using LASSO-based ANNs. Atmospheric Environment, 333, 120673.
3. Zhang, H., Srinivasan, R., Yang, X., Ganesan, V., Chen, H., & Zhang, H. (2024). An attention temporal convolutional network-based hybrid approach to simulating indoor air pollutants and their determinants in classroom and office spaces. Journal of Building Engineering, 93, 109873.
4. Onatayo, D., Aggarwal, R., Srinivasan, R. S., & Shah, B. (2024). A data-driven approach to thermal transmittance (U-factor) calculation of double-glazed windows with or without inert gases between the panes. Energy and Buildings, 305, 113907.
5. Onatayo, D. A., Srinivasan, R. S., & Shah, B. (2023). Ultraviolet radiation transmission in building’s fenestration: Part ii, exploring digital imaging, uv photography, image processing, and computer vision techniques. Buildings, 13(8), 1922.
6. Onatayo, D. A., Srinivasan, R. S., & Shah, B. (2023). Ultraviolet radiation transmission in Buildings’ fenestration: Part I, Detection methods and approaches using spectrophotometer and radiometer. Buildings, 13(7), 1670.
7. Wang, Z., Liang, Z., Zeng, R., Yuan, H., & Srinivasan, R. S. (2023). Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method. Energy and Buildings, 281, 112763.
8. Ramadhan, T., Paramita, B., & Srinivasan, R. S. (2022). Study of Cost and Construction Speed of Cladding Wall for Lightweight Steel Frame (LSF). Buildings, 12(11), 1958.
9. Ramadhan, T., Paramita, B., & Srinivasan, R. S. (2022). Study of Cost and Construction Speed of Cladding Wall for Lightweight Steel Frame (LSF). Buildings, 12(11), 1958.
10. Kumar, T., Srinivasan, R., & Mani, M. (2022). An emergy-based approach to evaluate the effectiveness of integrating IoT-based sensing systems into smart buildings. Sustainable Energy Technologies and Assessments, 52, 102225.
11. Valipoor, S., Ahrentzen, S., Srinivasan, R., Akiely, F., Gopinadhan, J., Okun, M. S., ... & Shukla, A. A. W. (2022). The use of virtual reality to modify and personalize interior home features in Parkinson's disease. Experimental Gerontology, 159, 111702.
12. Im, H., Srinivasan, R. S., Maxwell, D., Steiner, R. L., & Karmakar, S. (2022). The impact of climate change on a university campus’ energy use: Use of machine learning and building characteristics. Buildings, 12(2), 108.
13. Woo, J., Fatima, R., Kibert, C. J., Newman, R. E., Tian, Y., & Srinivasan, R. S. (2021). Applying blockchain technology for building energy performance measurement, reporting, and verification (MRV) and the carbon credit market: A review of the literature. Building and Environment, 205, 108199.
14. Wang, Z., Liu, J., Zhang, Y., Yuan, H., Zhang, R., & Srinivasan, R. S. (2021). Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles. Renewable and Sustainable Energy Reviews, 143, 110929.
15. Zhang, H., & Srinivasan, R. (2021). A biplot-based PCA approach to study the relations between indoor and outdoor air pollutants using case study buildings. Buildings, 11(5), 218.
16. Jia, M., Srinivasan, R., Ries, R. J., Bharathy, G., & Weyer, N. (2021). Investigating the impact of actual and modeled occupant behavior information input to building performance simulation. Buildings, 11(1), 32.

Profile Details

WoS ResearcherID: C-6245-2019

https://orcid.org/0000-0002-0461-5729

https://dcp.ufl.edu/faculties/srinivasan-ravi/

https://scholar.google.com/citations?user=yz0UIBoAAAAJ&hl=en

https://www.researchgate.net/profile/Ravi-Srinivasan-3/2