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Xian Du

Assistant Professor

Xian Du's research focuses on the scale up of advanced manufacturing processes from lab to industry which requires high-precision in-line inspection and pattern recognition technologies for quality control. Micro-scale and nano-scale inspections in a large area with high throughput can facilitate metrology and inspection during manufacturing at low costs and high speeds.

The quantitative assesment of clinical images requires automatic, accurate, and robust computation tools in medical devices for detection and description of biomarkers.

Current Research

1. Online inspection and feedback control of flexible electronics printing process.

2. 3D segmentation and and point pattern matching and tracking of medical images such as a MRI of the muscle.

 

Academic Background

  • PhD in Manufacturing Systems and Technology from the Singapore-MIT Alliance at the National University of Singapore, 2007
  • CNRS Postdoctoral Fellow at CREATIS lab in France
  • Louisiana EPSCoR RII Fellow at Louisiana Tech University
  • Research scientist at MIT
Hair segmentation using adaptive threshold from edge and branch length measures, X Du, I Lee, B Anthony, Computers in Biology and Medicine, 2017.
Controlled angular and radial scanning for super resolution concentric circular imaging, X Du, B Anthony, Optics express 24 (20), 22581-22595, 2016.
Roll-to-Roll Microcontact Printing of Flexible Aluminum Substrates Using Octadecylphosphonic Acid (ODPA), C. Merian, X. Du, D. Hardt, H. AlQahtani ASME 2015 International Mechanical Engineering Congress and Exposition 14, 2015.
Concentric circle scanning system for large-area and high-precision imaging X Du, B Anthony, Optics express 23 (15), 20014-20029, 2015.
Grid-based matching for full-field large-area deformation measurement X Du, BW Anthony, NC Kojimoto, Optics and Lasers in Engineering 66, 307-319, 2015.
3-D knee cartilage segmentation using a smoothing B-Spline active surface, X Du, J Velut, R Bolbos, O Beuf, C Odet, H Benoit-Cattin, Image Processing, 2008. ICIP 2008.
Automated diagnosis of glaucoma using texture and higher order spectra features, UR Acharya, S Dua, X Du, CK Chua, IEEE transactions on Information Technology in Biomedicine 15 (3), 449-455, 2011.
Segmentation of fluorescence microscopy cell images using unsupervised mining, X Du, S Dua, The open medical informatics journal 4, 41, 2010.
 
Contact Info

Mechanical and Industrial Engineering
S421 Life Science Lab
240 Thatcher Way
Amherst, MA 01003-9292

(413)-577-0941
xiandu@umass.edu;

blogs.umass.edu/xiandu