Ho-min Park
About Me
Postdoctoral researcher in Computer Science Engineering specializing in biomedical and biological AI, with extensive experience developing deep learning solutions for medical imaging (laparoscopy, MRI, microscopy), structural biology (CRISPR-Cas systems and anti-CRISPR proteins), and genomics. Author of peer-reviewed publications in high-impact venues including the Journal of Clinical Oncology, International Journal of Surgery, IEEE Transactions on Affective Computing, and Transactions on Machine Learning Research.
Currently a Postdoctoral Researcher at Ghent University Global Campus (under Prof. Joris Vankerschaver, since November 2025) and Assistant Professor at Texas Children's Hospital Data Center (Houston, TX, 2026), where research will focus on advancing biomedical AI for pediatric and oncological applications.
Research Interests
- Biomedical AI: Medical imaging (laparoscopy, MRI, microscopy), computer-aided diagnosis, interpretability (SHAP, attention, CAM)
- Biological AI: CRISPR-Cas systems, anti-CRISPR proteins, protein structure prediction, genomics
- Multimodal Learning: Affective computing, multimodal sentiment analysis, transformer-based architectures
- Applied ML: Self-supervised learning, environmental monitoring (microplastics)
Professional Experience
| Position | Institution | Period |
|---|---|---|
| Postdoctoral Researcher | Ghent University Global Campus, South Korea | November 2025 – Present |
| Assistant Professor | Texas Children’s Hospital Data Center, Houston, TX | 2026 |
Recent Publications
Citations: 295 | h-index: 10 | i10-index: 10 (as of May 12, 2026)
Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasis
F Tozzi, HM Park, SA Mousavi, M Van Liefferinge, D Moon, S Fadaei, et al.
International Journal of Surgery, 2026
Cited by 1
Development of a video-based deep learning model for differentiation of malignant and benign lesions during staging laparoscopy: Is the machine better than the expert?
F Tozzi, SA Mousavi, M Van Liefferinge, D Moon, H Park, S Fadaei, et al.
Journal of Clinical Oncology, 2024
Cited by 1
Machine learning models for classification and morphological assessment of peritoneal lesions during staging laparoscopy
F Tozzi, HM Park, D Moon, SA Mousavi, M Van Liefferinge, S Fadaei, et al.
European Journal of Surgical Oncology, 2024
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
H Lee, U Ozbulak, H Park, S Depuydt, W De Neve, J Vankerschaver
BMC Bioinformatics, 2024
Cited by 11
Interpreting Stress Detection Models using SHAP and Attention for MuSe-Stress 2022
H Park (first author), G Kim, J Oh, A Van Messem, W De Neve
IEEE Transactions on Affective Computing, 2024
Cited by 9
Education
| Degree | Institution | Year |
|---|---|---|
| Ph.D. in Computer Science | Ghent University, Belgium | 2025 |
| M.S. in Computer Engineering | Ajou University, South Korea | 2018 |
| B.S. in Computer Science | Ajou University, South Korea | 2016 |
Ph.D. Dissertation: “Advancing Detection through Deep Learning for Industrial, Environmental, and Health Applications”
Mentoring & Educational Leadership
Founder and Lead Instructor, AI Vacation School (AIVS) (2021–2026) Ghent University Global Campus
Founded and led a volunteer-driven intensive AI education program, mentoring over 30 undergraduate students across summer and winter cohorts. Alumni have advanced to top programs including KAIST, Seoul National University, UNIST, Ghent University (Belgium), and Scripps Research Institute.
Patents
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Park, H., & De Neve, W. (2020). An apparatus and method for measuring the size of high-speed objects and classifying their type on conveyors using light curtain sensors. Korean Intellectual Property Office. Reg. No.: 10-2273758.
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Park, H., & De Neve, W. (2018). Apparatus and method for measuring the size of high-speed boxes on conveyors using an RGB-D camera. Korean Intellectual Property Office. Reg. No.: 10-2066862.
Awards
- 2nd Place, MuSe-Personalisation Challenge 2023
- 3rd Place, MuSe-Stress Challenge 2022
- Best Presentation Award, IIAE 2019