Director of Machine INtelligence and Data analytics (MIND) Lab

Cybersecurity Center(Affiliated)
The Center for Scientific Computing and Data Science Research (Affiliated)


Email: mshao[at]umassd[dot]edu

 

Computer and Information Science
College of Engineering
University of Massachusetts Dartmouth

 

 

Ming (Daniel) Shao
Dr. and Adjunct Associate Professor
About Me [Google Scholar] [Linkedin]  

I am an Adjunct Associate Professor in Computer and Information Science Department at Umass Dartmouth. My research interests include: multi-view learning, transfer learning/domain adaptation, deep leanring, large-scale graph approximation/clustering, social media analytics. I received my Ph.D. degree from Department of Electrical and Computer Engineering, at Northeastern University in 2016.

 

My research group moved to UMass Lowell. For more information, please check my new website

[Highlighted Research]

  • Adversarial Machine Learning
  1. Adversary for social good
  2. Adversarial multi-modal action modeling
  3. Graph induced adversarial attack
  • Healthcare Informatics and Medical Image Analysis
  1. Clinical state progression, 2. Medical image segmentation, 3. Super-resolution
  • Visual Kinship Understanding. Check recent:
  1. Paper: FIW dataset, survey
  2. Workshop: data challenge I, data challenge II, data challenge III, data challenge IV
  3. Tutorial: tutorial1@ACM-MM2018, tutorial2@CVPR2019, tutorial3@FG2019
  • Multi-view Learning. Check recent:
  1. Paper: survey, action prediction;
  2. Tutorial: tutorial1@CVPR2018, tutorial2@BigData2018, tutorial@IJCAI-2020
 

[Previous NSF REU Site 2021-23]

  1. Ten-week intensive research on AI, security, and system engineering
  2. $6,000 stipend in total for each participant
  3. On-campus housing and meal allowance
  4. Up to $600 travel expenses to and from the REU site
   
 

[Sposors]