The research of bio-heat in living insects presents a multitude of challenges, primarily due to the intricate 3D body geometries, uncertain bio-thermal properties, dynamic metabolic changes, and complex environmental interactions, etc. Furthermore, due to cost limitations and the intrinsic properties of measurement instruments, the data obtained are typically constrained in terms of temporal and spatial resolution, as well as accuracy. In this paper, temperature measurement data for the living insect species under investigation, i.e. mosquitoes, are available for only three sites—head, thorax, and abdomen—with a time resolution of five seconds. Given that mosquitoes excrete and expel droplets from the abdomen during blood feeding, the high transient heat flux changes in this area are complex and impractical to measure directly. Based on the limited measurement data, this paper proposes a numerical computational method. This method, an improved Tikhonov regularization method based on high-throughput computation, estimates the unknown heat flux at the end of the abdomen by solving a 3D transient inverse heat transfer problems (IHTP) at the whole-body level of the living mosquito. To formulate a transferable method, we construct an idealized hypothetical model guided by prior physical and biological knowledge. This model considers the comprehensive effects of complex structures, uncertain thermal parameters, and dynamic variations. To validate the efficiency of this method, a simulated ring-shape boiling heat flux data set is employed as a supplementary case study within the engineering context. The solution method developed in this paper employs a high-throughput computing design, reducing computation time by at least an order of magnitude compared to previous serial algorithms. It is the first application of this novel method for solving 3D IHTP in living organisms at the whole-body level. It is anticipated that this study will facilitate future research in thermal biology and the impact of climate change on organisms based on infrared non-destructive measurement techniques.

3D Inverse Heat Transfer Problem; Improve Tikhonov Regularization; Living Insects; Heat Flux; Infrared Measurements