Professors Fu Haohuan and Ercan E. Kuruo?lu from the Institute of Data and Information (iDl) at Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) have been named to the 2026 class of IEEE (Institute of Electrical and Electronic Engineers) Fellows.
Prof. Fu has made significant contributions to the development of highly efficient and scalable simulation software on emerging heterogeneous supercomputers, driving advancements in parallelization, optimization methods, and tools.
His work manages to make tens of millions of cores fully utilized for applications across a range of domains, including atmospheric simulation, seismic modeling, molecular dynamics, and quantum circuit simulation. His contributions focus primarily on parallelization methods, optimization methods, and migration tools.
Kuruo?lu has been a Full Professor at Tsinghua SIGS since 2022. His research interests are in the areas of statistical signal and image processing, Bayesian machine learning with applications in remote sensing, environmental sciences, telecommunications and computational biology.
Established in 1963, IEEE is the world’s largest technical professional organization. IEEE is dedicated to advancing technology for the benefit of humanity. An IEEE Fellow holds an elite distinction. This honor is given to long-term IEEE members whose efforts to advance engineering, science, and technology demonstrate remarkable focus and determination.
Source from the Institute of Data and Information
Edited by Wang Jingli
Reviewed by Chen Jundou, Lin Zhoulu
