University of Illinois, USA
Dr. Hong is an Associate Professor of Computer Science at Brandeis University. He received his PhD. in Computer Science from University of Illinois at Urbana-Champaign in 2001.
Dr. Hong’s main research focus on Machine Learning, Image Processing, Data Mining, and their applications in Bioinformatics, Biomedical Informatics, Computational Cognitive Science, and Intelligent Education. His lab has developed novel advanced techniques to analyze heterogeneous data, such as, image, video, text, audio, EEG, and so on. He participated into organizing several international conferences, gave presentations at Harvard Medical School, National Institute of Health, Howard Hughes Medical Institute, Ohio State University, Shanghai Ruijin Hospital, and so on. His main contributions include pioneering in developing high-content neuronal screening techniques, integrating heterogeneous biological data to automatically infer multi-cellular regulatory networks, detect protein-protein interactions by analyzing Mass Spectrometry data, electronic healthcare record analysis, machine-learning driven image retrieval, audio-driven face animation, probabilistic reasoning in multi-modal human-computer interfaces. He has published more than 20 papers in prestigious journals.
Bioinformatics and Biomedical Informatics, Image Processing, Machine Learning, Neuronal screening techniques, protein-protein interactions