Justin Zhan

Justin Zhan is the Head of Department of Computer Science, College of Engineering and Applied Science, University of Cincinnati. His research interests include data science, artificial intelligence, blockchain technologies, biomedical informatics, information assurance, and social computing. He was a steering chair of the IEEE International Conference on Social Computing (SocialCom), IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT), and IEEE International Conference on BioMedical Computing (BioMedCom). He has been an editor-in-chief of the International Journal of Privacy, Security and Integrity, and International Journal of Social Computing and Cyber-Physical Systems. He has served as a conference general chair, a program chair, a publicity chair, a workshop chair, and a program committee member for 150 international conferences; he has also served as an editor-in-chief, editor, associate editor, guest editor, editorial advisory board member, and editorial board member for 30 journals. He has published 250 articles in peer-reviewed journals and conferences and delivered more than 30 keynote speeches and invited talks. He has been involved in more than 60 projects as a principal investigator (PI) or a Co-PI, which were funded by the National Science Foundation, Department of Defense, National Institute of Health, etc.

Peer Reviewed Publications

Baker W, Colditz JB, Dobbs PD, Mai H, Visweswaran S, Zhan J, Primack BA. (2022. ) Classification of Twitter Vaping Discourse Using BERTTweet: Comparative Deep Learning Study.Journal of Medical Internet Research Medical Informatics, , 21;10(7):e33678 , More Information

Schwob, M., Zhan, J., and Dempsey A., (2021. ) Modeling Cell Communication with Time-Dependent Signaling Hypergraphs.IEEE/ACM Transactions on Computational Biology and Bioinformatics, , May-Jun 2021;18(3):1151-1163 , More Information

Bakare, A., Meshrkey, F., Lowe, B., Molder, C., Rao, R., Zhan, J. and Iyer, S., (2021. ) MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells.American Journal of Physiology Cell Physiology, , 321: C735–C748 , More Information

Chiu, C. and Zhan, J. (2019. ) An Evolutionary Approach to Compact DAG Neural Network Optimization .IEEE Access, , 7 ,

Chopade, P. and Zhan, J (2017. ) Towards A Framework for Community Detection in Large Networks using Game-Theoretic Modeling .IEEE Transactions on Big Data, , 3 (3 ) ,