-> Building Information Modeling
-> Building Energy Modeling
-> Urban Climate
-> Data Science & Machine Learning
Research Interests
Integrating deep tech (deep technology) into sustainable architecture and urban development, science-based urban engineering.
Research 1
Thanasarn Changnawa, (2568). Thermo Defender V2+AI : A BIM-Integrated AI and Thailand building energy code software for thermal requirements
Publication 4
Q1 (Tier 1) - Nattakorn Kittisut, Rachata Maneekut, Thanasarn Changnawa, Krissada Asavaskulkiet. (2026). AIHT-MPI: Accelerated Iterative Hard Thresholding via Moore-Penrose Pseudo-Inverse with Conjugate Gradient Refinement for Sparse Signal Recovery. IEEE Access Vol. No. Page.
Q1 (Tier 1) - Chorpech Panraluk, Thanasarn Changnawa, Atch Shreshthaputra. (2026). Assessment of Semi-Indoor Thermal Efficiency on Adaptive Comfort for Senior Buildings Using 3D MRT Simulation. Civil Engineering Journal (Iran) Vol.12 No.3 Page.1071-1087
Q2 - Thanasarn Changnawa, Juan Carlos Baltazar. (2025). A BIM-integrated Thailand building energy code framework for building envelope thermal requirements in a conceptual design stage. International Journal of Architectural Computing Vol.23 No.1 Page.239-260
Thanasarn Changnawa, Patrick Kastner, Ilker Karadag. (2569). Short-Term Urban Microclimate Temperature Prediction Using LSTM Neural Networks.
Thanasarn Changnawa and Juan-Carlos Baltazar. (2565). Integrating Building Information Modeling for Thermal Transfer Value Calculation in a Conceptual Design Stage.