Introduction
Chen Congzhou, Associate Professor of Department of Computer Science, College of Information Science and Technology, Beijing University of Chemical Technology (BUCT), received his Ph.D. degree in Computer Software and Theory from School of Information Science and Technology, Peking University in 2020, and conducted post-doctoral research in School of Computer Science, Peking University from 2020 to 2023. In the same year, he joined Beijing University of Chemical Technology as a “high-level introduced talent”. His main research interests include: (1) artificial intelligence, graph neural networks for medical information mining; (2) novel computing, DNA computing, molecular intelligence and circuits. His research in the intersection of artificial intelligence, computing and biomedicine is at the cutting edge. There are practical applications in the fields of novel computing, DNA information storage and encryption. Currently, he has published nearly twenty SCI papers, and 11 SCI papers as the 1st author and corresponding author in Nanoscale, Brief in Bioinfor, ACS Syn, IEEE trans Nano and other journals. He has chaired one top-level project of National Natural Science Foundation of China (NSFC) and one top-level project of Postdoctoral Science Foundation (PSF).
Research
(1) Artificial Intelligence: neural networks applied to medical information, medical image processing, drug discovery;
(2) Novel computing: DNA computing, molecular intelligence and circuits.
Teaching
（1）Principles of Computer Composition
（2）College Computer
Funding
(I) National Natural Science Foundation of China (NNSFC)
(II) Basic Research Funds Program of Central Universities
(C) Postdoctoral Fund, Chairperson of top-level project
Publications
Congzhou Chen, Jinyan Nie, Mingyuan Ma*, Xiaolong Shi*. DNA Origami Nanostructure Detection and Yield Estimation Using Deep Learning. ACS Synthetic Biology, 2023. Congzhou Chen, Jinda Wen, Zhibin Wen, Sijie Song, Xiaolong Shi*. DNA strand displacement based computational systems and their applications. Frontiers in Genetics, 2023. Mingyuan Ma, Sen Na, Xiaolu Zhang, Congzhou Chen*, Jin Xu. SFGAE: A Self-feature-based graph autoencoder model for miRNA-disease associations prediction. Briefings in Bioinformatics, 2022. Congzhou Chen, Xin Chen, Xin Li*, Xiaolong Shi*. DNA computing for gastric cancer analysis and functional classification. Frontiers in Genetics, 2022. Jin Xu†, Congzhou Chen†, Xiaolong Shi*. Graph Computation Using Algorithmic Self-Assembly of DNA Molecules. ACS Synthetic Biology, 2022. Congzhou Chen, Jin Xu*, Luoshan Ruan, Haiyan Zhao, Xin Li, Xiaolong Shi*. DNA Origami Frame Filled with Two Types of Single-Strand Tiles. NanoScale, 2021. Congzhou Chen, Tingting Lin, Mingyuan Ma, Xiaolong Shi*, Xin Li*. Programmable and Scalable Assembly of a Flexible Hexagonal DNA Origami. Nanotechnology, 2021. Congzhou Chen, Jin Xu*, Xiaolong Shi*. Optical and Topological Characterization of Hexagonal DNA Origami Nanotags. IEEE Transactions on Nanobioscience, 2021.
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