We are pleased to announce that Dr. Bormin Huang has joined the IUMA faculty as Research Professor. Prof. Huang received his M.S.E. in Aerospace Engineering from the University of Michigan, Ann Arbor, MI, USA, in 1992, and his Ph.D. degree in the area of satellite remote sensing from the University of Wisconsin-Madison in 1998. He joined the Space Science and Engineering Center, University of Wisconsin-Madison, in 1998 and was awarded by Intel to establish the Intel Parallel Computing Center at the University of Wisconsin-Madison. He served as Honorary International Chair Professor with the National Taipei University of Technology, Taipei, Taiwan and as an Overseas Chair Professor with Xidian University, Xi’an, China. He has been serving as Guest Professor of several universities in China. His research interests include remote sensing science and engineering, satellite data compression and communications, high-performance computing, and deep learning (DL). He has over 200 journal and conference publications.
Prof. Huang is an NVIDIA CUDA Fellow and a Fellow of International Society of Optics and Photonics (SPIE). He is currently serving as an Associate Editor for different journals, including the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and the SPIE Journal of Applied Remote Sensing. He has been the Lead Chair for the SPIE Conference on Satellite Data Compression, Communications, and Processing, for the SPIE Europe Conference on High-Performance Computing in Remote Sensing, and for the IEEE International Workshop on Parallel and Distributed Computing in Geoinformation and Remote Sensing, in conjunction with the IEEE International Conference on Parallel and Distributed Systems.
For the last two years Prof. Huang has been collaborating with IUMA in the area of hyperspectral image processing and GPU implementations, organizing several international conferences together with IUMA researchers. He has been also a key player in helping IUMA to expand its research horizons to Asia and to be awarded as NVIDIA CUDA Research Center in 2014.