Assistant ProfessorS421 Life Science Laboratories University of Massachusetts 240 Thatcher Way Amherst, MA 01003 xiandu@umass.edu(413) 577 - 0941(413) 545 - 1027Intelligent Sensing LabHorizontal TabsEducation Ph.D. Innovation in Manufacturing Systems and Technology, Singapore-MIT Alliance, National University of Singapore; Singapore and Cambridge, MA M.S. Mechatronics Engineering, Shanghai Jiaotong University; Shanghai, China B.S. Mechanical Engineering, Tianjin University; Tianjin, China Research Xian Du's research focuses on the scale up of flexible electronics printing processes from lab to industry using high-precision in-line inspection and pattern recognition technologies for large surface quality control. He also works on automatic, high resolution, accurate, and robust imaging tools for medical devices for noninvasive detection and description of biomarkers. Program Area: Mechanical EngineeringResearch Area: Biomedical & Healthcare Engineering Publications Please see my Google Scholar page Brian W. Anthony, Xian Du, “Circular Scanning Technique For Large Area Inspection,” US20170371142A, Publication, 2019. Journal papers Henry Yau and Xian Du, “Robust deep learning-based multi-image super-resolution using inpaiting.” Journal of Electronic Imaging, under review, 2020. Xian Du and Jingyang Yan, “Fault Classification and Identification for Small Sample and High Dimension Data through Nonlinear Feature Sub-Space Neighbor Vote.” Journal of Process Control, under review, 2020. Jingyang Yan and Xian Du, “Real-time web tension prediction using web moving speed and natural vibration frequency.” Measurement Science and Technology, first round revision, 2020. Xian Du, “Fault detection using bispectral features and one-class classifiers." Journal of Process Control, vol. 83, pp. 1-10, 2019. Xian Du, David Hardt, Brian Anthony, “Real time imaging of invisible micron-scale monolayer patterns on a moving web using condensation figure." IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2019.2914632, 2019. Ina Kundu, Xian Du, and Brian Anthony. "Imaging platforms for registering and analyzing the skin microrelief structure." In Proceedings of SPIE Health Monitoring of Structural and Biological Systems XII, vol. 10600, p. 106000U. International Society for Optics and Photonics, 2018. BOOK & BOOK CHAPTERS Jingyang Yan and Xian Du (January 24th 2020). “Web Tension and Speed Control in Roll-to-Roll Systems” [Online First], IntechOpen, DOI: 10.5772/intechopen.88797. Available from: https://www.intechopen.com/online-first/web-tension-and-speed-control-in-roll-to-roll-systems. Constantin Volosencu, Xian Du, Ali Saghafinia, Sohom Chakrabarty “Control Theory in Engineering,” IntechOpen, 2020. (Invited talk and paper) Xian Du, Jingyang Yan and Rui Ma, “Real-Time Metrology for Roll-to-Roll Microcontact Print Process Monitoring,” the International Conference on Electron, Ion, and Photon Beam Technology and Nanofabrication (EIPBN), 2020. (Speaker and paper) Xian Du and Dechao Zeng, “LED-based Solar Ring Light Simulator on a Measurescope,” the 2020 OSA Imaging and Applied Optics Congress, Vancouver, British Columbia, Canada, 22-26 June, 2020. (Poster, https://nnt2019.org/#abstracts), Jingyang Yan, Mehdi Riza1, Rui Ma, Xian Du, “Multimode Sensing for Roll-to-Roll Flexible Electronics Print Process Control,” the 18th International Conference on Nanoimprint and Nanoprint Technologies (NNT), October 14-16, 2019, Boston, MA. (Speaker and paper) Xian Du and Jingyang Yan, “Tension prediction using web moving speed and natural vibration frequency,” TechConnect World Innovation Conference & Expo, AI TechConnect, June 17-19, 2019, Boston, MA. (Poster) Jingyang Yan, Mehdi Riza, Jonathan Lombardi, Patrick Caviston, Xian Du, “Multimode Sensing for Roll-to-Roll Flexible Electronics Print Process Control,” Nextflex- Scalable Manufacturing Methods for Flexible Hybrid Electronics workshop, October 16, 2018, Amherst, MA. Honors NSF CAREER Award (2020) UMass TIDE Ambassador (2019/2020) LinksCV: Du_Xian04142020.pdfLab Affiliation: Intelligent Sensing Lab