Dr. David Pan Associate Professor, Electrical & Computer Engineering Department Biography Dr. Pan is an Associate Professor in the Department of Electrical and Computer Engineering. He received his Ph.D. degree in Electrical Engineering from the University of Southern California in 2002. He is the recipient of the ETRI Journal Paper of Year Award in 2006. He received the College of Engineering Outstanding Junior Faculty Award from The University of Alabama in Huntsville in 2008. He was awarded the Summer Faculty Research Fellowship from the Office of Naval Research (ONR) in 2008, 2009, and 2011. He has about 100 refereed journal and conference publications. He is a senior member of IEEE. Dr. David Pan's personal webpage Education Ph.D., Electrical Engineering, University of Southern California, 2002 M.S., Computer Engineering, University of Louisiana, 1998 M.S., Electrical Engineering, Sun Yat-Sen University, 1993 B.E., Electrical Engineering, Sun Yat-Sen University, 1990 Honors & Awards ETRI Journal Paper of Year Award College of Engineering Outstanding Junior Faculty Award ONR Summer Faculty Research Fellowship NSF Grant Selected Publications A. Liaghati, W. D. Pan, and Z. Jiang, “Biased Run-Length Coding of Bi-Level Classification Label Maps of Hyperspectral Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, June 2017. H. Shen, W. D. Pan, and D. Wu, “Predictive Lossless Compression of Regions of Interest in Hyperspectral Images with No-Data Regions,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 1, Jan. 2017. Y. Dong, Z. Jiang, H. Shen, W. D. Pan, L. A. Williams, V. V. B. Reddy, W. H. Benjamin, Jr., A. W. Bryan, Jr., “Evaluations of Deep Convolutional Neural Networks for Automatic Identification of Malaria Infected Cells,” in Proc. of IEEE International Conference on Biomedical and Health Informatics (IEEE BHI’17), Orlando, FL, Feb. 2017. H. Shen, W. D. Pan, Y. Dong and M. Alim, “Lossless Compression of Curated Erythrocyte Images Using Deep Autoencoders for Malaria Infection Diagnosis,” in Proc. of IEEE Picture Coding Symposium (PCS'16), Nuremberg, Germany, Dec. 2016. H. Shen, and W. D. Pan, “Predictive Lossless Compression of Regions of Interest in Hyperspectral Image Via Maximum Correntropy Criterion Based Least Mean Square Learning,” in Proc. of IEEE International Conference on Image Processing (ICIP’16), Phoenix, AZ, Sep. 2016. H. Shen, W. D. Pan, and Y. Dong, “Efficient Lossless Compression of 4D Hyperspectral Image Data”, in Proc. of 3rd International Conference on Advances in Big Data Analytics (ABDA'16), Las Vegas, NV, July 2016. V. Muralidharan, Y. Dong and W. D. Pan, “A Comparison of Feature Selection Techniques for Machine Learning Based Automatic Malarial Cell Recognition in Wholeslide Images,” in Proc. of IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, February 2016.