Picture of Dr. Joe Stanley

Dr. Joe Stanley

Professor, Electrical and Computer Engineering; Coordinator, Computer Engineering Undergraduate Studies; Associate Chair, Electrical and Computer Engineering Academic Affairs

Computer Engineering

 

In my experience as a graduate student, an Engineering Specialist at Systems & Electronics, Inc. and as a faculty member at Missouri S&T, I have pursued multidisciplinary research collaborations in areas including U.S. postal applications, dermatology skin lesion analysis, pre-cervical cancer assessment from digitized histology images, content-based image retrieval, atomic force microscopy, nondestructive evaluation of aging aircraft lap joints, humanitarian demining, traffic monitoring, osteoarthritis assessment from cervical and lumbar spine x-ray images, intrusion detection and system survivability, and bioinformatics. In these research collaborations, in my research experience, I have worked with dermatologists, pathologists, cytologists, radiologists in the development of computer-assisted tools for biomedical image analysis. My research focus has been the investigation of image and signal processing, computational intelligence, and data fusion algorithms and techniques for computer-assisted tools to aid domain experts in the decision-making process. In addition, I have a heart-felt passion for teaching. In STEM education, I trained high school teachers in Digital Electronics for 13 years as part of the Missouri S&T hosted Project Lead the Way summer training programs. I have mentored/advised 11 undergraduate research projects and co-mentored numerous other undergraduate students in the Image Processing Laboratory at Missouri S&T. I served as the Senior Design project advisor for 18 projects. I have been the thesis advisor for 30 MS graduates and eight PhD graduates. In conjunction with these efforts and as an instructor working with the tremendous students at Missouri S&T, I earned an IEEE USA Professional Service Award in 2015 and the IEEE-HKN international C. Holmes MacDonald Outstanding Teaching Award in 2016. know more about Joe, just click on this https://news.mst.edu/2016/05/this-is-how-joe-stanley-rolls/

Selected Publications

  • Lama N, Hagerty J, Nambisan A, Stanley RJ, Stoecker WV. Skin Lesion Segmentation in Dermoscopic Images with Noisy Data. Journal of Digital Imaging, vol. 36, pp. 1712-1722, 2023.
  • Maurya A, Stanley RJ, Lama N, Jagannathan S, Saeed D, Swinfard S, Hagerty JR, Stoecker WV. A deep learning approach to detect blood vessels in basal cell carcinoma. Skin Research and Technology, vol. 28, no. 4, pp. 571-576, 2022. Doi: 10.1111/srt.13150.
  • Sornapudi S, Hagerty J, Stanley RJ, Stoecker WV, Long R, Antani S, Thoma G, Zuna R, Frazier SR. EpithNet: Deep regression for epithelium segmentation in cervical histology images. Journal of Pathology Informatics [serial online] 2020 [cited 2020 May 7];11:10. Available from: http://www.jpathinformatics.org/text.asp?2020/11/1/10/281606.
  • Hagerty JR, Stanley RJ, Almubarak HA, Lama N, Kasmi R, Guo P, Drugge RJ, Rabinovitz HS, Oliviero M, Stoecker WV. Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images. IEEE Journal of Biomedical and Health Informatics 2019 23(4):1385-1393. doi: 10.1109/JBHI.2019.2891049.
  • Stanley RJ and Baur S. Assessing the Impact Of Project Lead the Way High School Pre-Engineering Curriculum on Missouri University of Science and Technology Student Academic Experience and Career Choices. Transactions on Techniques in STEM Education. 2016 (January-March);1(2):101-112.

 Selected Honors and Awards

  • Sustained Excellence in Outstanding Teaching Award, Missouri S&T (2019).
  • Panelist, National Library of Medicine Strategic Planning Group (March, June 2017) Theme: “The Role of NLM in Advancing Data Science, Open Science, and Biomedical Informatics”.
  • Outstanding Teacher Award, The National Society of Leadership and Success, Sigma Alpha Pi (2017).
  • Dean’s Educator Scholar, College of Engineering and Computing, Missouri S&T (2017).
  • IEEE-Eta Kappa Nu 2016 C. Holmes MacDonald Outstanding Teaching Award (2016).
  • IEEE Outstanding Educator, Region 5 (2016).
  • IEEE-USA, Professional Achievement (2015) Award:  To recognize those members in the Regions for their outstanding leadership efforts in advancing the professional aims of IEEE in the United States within their Regional entities for sustained contributions to pre-university engineering education.
  • IEEE Outstanding Educator Award-St. Louis Region (2015)
  • Outstanding Teaching Award, UMR/MS&T (2005,2009,2011,2012,2013,2014)
  • Teaching Commendation, MS&T (2010)

Research Interests:

Computational Intelligence, Biomedical Image and Signal Processing, Data Fusion, Machine and Deep Learning, Medical Informatics, Precollege STEM Education Outcomes

Publications:

Resume/CV:

Personal Website:

Education:

  • PhD in Computer Engineering and Computer Science, University of Missouri-Columbia
  • MS in Electrical Engineering, University of Missouri-Columbia
  • BS in Electrical Engineering, University of Missouri-Columbia