Ming Chen

Ming Chen

Research Assistant


Hello! I am Ming Chen, a data scientist at Procter & Gamble.

Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in Python, C/C++, Java, PHP, Apache Spark, Hadoop, and docker. Strong administrative professional with a Doctor of Philosophy (Ph.D.) focused in Computer Engineering from the University of Cincinnati. Learn More

Biography & Affiliation

Research Interests

Deep Learning, Machine Learning, Medical Image processing, Image Segmentation, Cloud Computing, Mobile Apps Development

Academic Affiliation

Electronic Engineering Computer Science, University of Cincinnati


Doctor of Philosophy (Ph.D.)

Computer Science & Engineering(CSE), University of Cincinnati

Bachelor of Science (B.S)

Computer Science(CS), University of Dayton

  • Li H, Chen M, Wang J, Illapani V, Parikh NA, and He L. (2021) Automatic segmentation of diffuse white matter abnormality on T2-weighted brain MRI using deep learning in very preterm infants. Radiol Artif Intell (in press).
  • Chen M, Li H, Wang J, Yuan W, Altaye M, Parikh NA and He L (2020) Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks. Front. Neurosci. 14:858. doi: 10.3389/fnins.2020.00858 Journal
  • He L, Li H, Wang J, Chen M, Gozdas, E, Dillman JR, Parikh NA, (2020). A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants. Sci Rep 10, 15072 (2020). PMCID: PMC7492237 PMC Journal
  • Chen M., Li H., Wang J., Dillman J.R., Parikh N.A., He L., (2019) A multi-channel deep neural network model analyzing multiscale functional brain connectome data for ADHD detection. Radiology, Artificial Intelligence. 2019;2(1):e190012. PMC Journal
  • Li H., Parikh N.A., Wang J., Merhar S., Chen M., Parikh M., Holland S., He L., (2019). Objective and automated detection of diffuse white matter abnormality in preterm infants using deep convolutional neural networks. Frontiers in Neuroscience, in press. PMC Journal