Activities

Grants and Awards

• NSF Computer and Information Science and Engineering Research Initiation Initiative (CRII), Developing a new hybrid interactive machine learning software tool for cancer researchers, $174,716.00, PI, 2023 - 2026

• NSF Engineering Research Initiation (ERI), A New Spatial Image Analysis of the Tumor Microenvironment for Cancer Immunotherapy, $199,198.00, PI, 2023 - 2025

• Weisberg Faculty Research Junior Award, Marshall University 2022

• Creative Discovery and Research Scholar, Marshall University, Mentor, 2022

• John Marshall Scholar Award, Marshall University 2021

• Internal Cross-disciplinary Research Facilitation Grant, Marshall University, Multi-PI, 2021

• Summer Research Award, Marshall University 2020

• Internal Cross-disciplinary Research Facilitation Grant, Marshall University, Multi-PI, 2019

• Google Cloud Platform Research Grant, Google 2019

• QWIKLabs Training Grant, Google 2019

• Dissertation Grant, Georgia State University 2016

• Second Century Initiative (2CI) Presidential Fellowship, Georgia State University 2015

• Brain and Behavior Fellowship, Georgia State University 2013, 2014

• Best paper award, RACS 2010

Professoional Activities

• NSF Grant Panel, Directorate of Computer & Information Science & Engineering (CISE), Information Integration and Informatics (IIS), 2024

• NSF Grant Panel, Directorate of Computer & Information Science & Engineering (CISE),  Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH), 2022

• NSF Grant Panel, Directorate of Computer & Information Science & Engineering (CISE), Information Integration and Informatics (IIS), 2020

• Session Chair, AI & ML for Immunotherapy, Festival of Biologics, Immunotherapy Congress, 2023

• Committee, Korea Technology Advisory Group (K-TAG), 2022, 2023

• Judge, Computer Science Symposium on Emerging Technologies (CSSET), 2023

• Merit Badge Counselor, Digital technology, 2023

• Marshall University(MU) representative, Undergraduate Research Day at the Capitol (URDC), 2023

• Committee, Marshall University Distinguished Artists and Scholar (MU-DASA) Selection Committee, 2022, 2023

• Committee, NASA West Virginia Space Grant Consortium Advisory Committee, 2021, 2022, 2203

• Exhibit Design Committee, Huntington Children’s Museum Committee, 2021

• Organizer, Interdisciplinary Data Science and Applied Computer Seminar, 2021, 2022

• Highlighted as an Arctic Code Vault Contributor, GitHub, 2020

• Editorial Board, Computational Biology and Bioinformatics, 2020 - present

• Reviewer Board, Machine Learning and Knowledge Extraction, 2020 - present

• Reviewer Board, Journal of Imaging, 2020 - present

• Reviewer Board, Symmetry, 2020 - present

• Contest Supervisor, Search Committee on Recognizing Excellent Students (SCORES), 2020 - present

• Active Member, American Association for Cancer Research (AACR), 2020, 2021, 2023

• IEEE Computer Society Technical Committee, Computational Life Sciences 2019 - present

• Member, Korean-American Scientists and Engineers Association 2019 - present

• Program Committee, IEEE BigData (AIPREF), 2023

• Program Committee, IEEE BigData (AIDA), 2023

• Program Committee, IEEE BIBM (AIBP), 2023

• Program Committee, IEEE BIBM (AIBH), 2020, 2021, 2023

• Technical Program Committee, IEEE CCWC, 2020, 2021, 2022

• Technical Program Committee, IEEE SoutheastCon, 2025

• Technical Program Committee Member, ACM RACS 2018, 2019, 2020, 2021

• Member, Digital Pathology Association (DPA) 2019

• Reviewer, Engineering Applications of Artificial Intelligence (EAAI) 2024, 2025 (Impact Factor: 7.5)

• Reviewer, Medical Image Analysis (MICCAI Society) 2021 (Impact Factor: 8.790)

• Reviewer, Sensors 2021 (Impact Factor: 3.576)

• Reviewer, Cancers 2021 (Impact Factor: 6.639)

• Reviewer, Symmetry 2021 (Impact Factor: 2.713)

• Reviewer, Journal of Imaging 2020, 2021 (Impact Factor: 3.81)

• Reviewer, International Journal of Biological Sciences 2020 (Impact Factor: 3.873)

• Reviewer, Nature Scientific Report 2019 (Impact Factor: 3.998)

• Reviewer, IEEE Journal of Biomedical and Health Informatics 2018 (Impact Factor: 5.223)

• Reviewer, ACM RACS 2016 - present

Mentoring

• Peter Estephan, Thesis, A path planning framework for multi-agent robotic systems based on multivariate skew-normal distribution, Marshall University. 2023

• Hannah Vitalos, Undergraduate Creative Discovery and Research Scholar Award, Marshall University Spring 2023

• Nicole Adkins, Undergraduate Creative Discovery and Research Scholar Award, Marshall University Spring 2023

• Abdullah Jawad, A study of deep learning models on semantic image segmentation to enhance the accuracy of a breast cancer diagnosis, Annual Undergraduate Research Day at the Capitol (URDC), 2023 

• Hannah Vitalos, A comprehensive survey of deep learning algorithms in digital pathology, Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Miranda Simpson, Predicting Timing and Location of HABs on the Ohio River using Machine Learning , , Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Nicole Adkins, Interactive multimodal cancer data integration on histopathology and radiology, Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Abdullah Jawad, Undergraduate Creative Discovery and Research Scholar Award, Marshall University Summer 2022

• Jarod Banzon, Undergraduate Creative Discovery and Research Scholar Award, Marshall University Spring 2022

• Joshi, V., ACM SIGCSE and Microsoft Graduate Research Competition Winner 2021 

• Joshi, V., Thesis, The U-Net based Active Learning Framework for Enhancing Cancer Immunotherapy, Marshall University 2021

• Song, H., Conference on Artificial Intelligence in Smart Cities Best Poster Award 2021

• Waugh, B., O’dell, G., and Zhao, X., Capstone Project, Improving Drosophila Melanogaster Feature Tracking with DeepLabCut, Marshall University 2021

• Maynard, W., Appleton, S., Bablani, P., and Hussain, H., Capstone Project, Development of Artifacts Detection Tool, Marshall University 2020

• Afolabi, A., Farley, J., and Schitt, V., Capstone Project, Development of Few-Shot Learning Tool for Whole Slide Image Analysis, Marshall University 2020

Talks and Presentations

• Lee, S. (Presenter & Author), Spatial Image Analysis of Tumor-Infiltrating Lymphocytes on Gastric Cancer for Cancer for cancer immunotherapy, American Association for Cancer Research (AACR) 2023.

• Lee, S. (Presenter), Different input sizes of deep learning models matter on predicting clinical outcomes, Festival of Biologics, Immunotherapy Congress, 2023

• Lee, S. (Presenter), AI and machine learning technologies on immunotherapy, International Summit on Hematology and Blood Disorders, 2023

• Hannah Vitalos, Nicole Adkins, Abdullah Jawad, Sanghoon Lee, ​​A comprehensive survey of deep learning algorithms in digital pathology, the Nineteenth Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Miranda Simpson, Sungmin Youns, Sanghoon Lee, ​​Predicting Timing and Location of HABs on the Ohio River using Machine Learning, the Nineteenth Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Nicole Adkins, Hannah Vitalos, Abdullah Jawad, Wookjin Choi, Sanghoon Lee, ​​Interactive multimodal cancer data integration on histopathology and radiology, the Nineteenth Annual Undergraduate Research Day at the Capitol (URDC), 2023

• Lee, S. (Presenter & Author), Spatial Image Analysis on Stroma Composition Linking to Patient Prognosis, Chemotherapy Response, and Immunotherapy Resistance, American Association for Cancer Research (AACR) 2022.

• Lee, S. (Presenter), NSF ERI and NSF CRII, Panel Session with Recent Research Grant Awardees, Marshall University 2022.

• Lee, S. (Presenter), Deep learning and spatial analysis on stroma composition linked to patient prognosis, chemotherapy response, and immunotherapy resistance, Faculty Research Presentation 2021.

• Youn, S., Song, H., and S. Lee (Author),., SEM Image Analysis for Activated Carbon to Correlate Adsorption Kinetics of Methylene Blue, Abstracts of Papers of The American Chemical Society 2021.

• Song, H., Lee , S. (Author) and Youn, S., Study of implementing Smart Combined Sewer Systems. Conference on Artificial Intelligence in Smart Cities 2021 (Best Poster Award).

• Lee, S. (Presenter & Author), Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut, IEEE International Conference on Bioinformatics and Bioengineering 2021.

• Lee, S. (Presenter & Author), Boundary Tracing on Whole Slide Images, US-Korea Conference (UKC), Korean American Scientists and Engineers Association (KESA) 2020.

• Lee, S. (Presenter & Author), Unsupervised Learning of Deep-Learned Features from Breast Cancer Images, IEEE International Conference on Bioinformatics and Bioengineering 2020.

• Lee, S. (Presenter), Machine Learning and its Applications, KSEA SEED Workshop 2019.

• Lee, S. (Presenter & Author), An Ensemble-based Active Learning for Breast Cancer Classification, IEEE International Conference on Bioinformatics and Biomedicine 2019.

• Lee, S. (Presenter & Author), Domain specific information retrieval and text mining in medical document. ACM Conference on Bioinformatics, Computational Biology and Health Informatics 2015.

• Lee, S. (Presenter & Author), Real time micro-blog summarization based on hadoop/hbase, IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2013.

• Lee, S. (Presenter & Author), Multi-document text summarization using topic model and fuzzy logic. International Workshop on Machine Learning and Data Mining in Pattern Recognition 2013.

• Lee, S. (Presenter & Author), User-centered query expansion model for health disparities research. IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2013.

• Lee, S. (Presenter & Author), A new real-time location tracking techniques using Doppler radar and bio-sensors in WSN. ACM Symposium on Research in Applied Computation 2011.

• Lee, S. (Presenter & Author), A reliable nested transaction model with extension of real-time characteristics. In Reliable and Autonomous Computational Science 2010.