Curriculum Vitae

[ Download | Last Updated: February 19, 2026 ]

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Research Interests

• My research focuses on graph representation learning, semi-supervised learning, domain adaptation/transfer learning, and biomedical artificial intelligence models for disease diagnosis and biomarker discovery using multimodal data.
  • 13 peer-reviewed journal articles + 1 manuscript under review (first/co-first author).
  • 17 patent applications (KR/PCT/US), including 6 published applications.
  • 41 conference presentations, including 4 best paper/presentation awards.
  • Principal Investigator (PI), National Research Foundation of Korea (NRF) Basic Science Research Program.
• Machine Learning Algorithm
  • Graph-based representation learning, Semi-supervised learning, Domain adaptation, Transfer learning, Model optimization, Neural Networks, Applied statistics.
• Biomedical Artificial Intelligence
  • Network-based modeling (gene/disease/drug networks), Explainable graph neural networks for genomics/proteomics, Multimodal learning for disease subtyping and risk prediction.
• Additional Research Experience
  • Text mining (sentiment and review analysis), Finance (enterprise evaluation model).

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Experience & Education

• Post-doctoral Researcher (September 2022 - Present)
  • Ajou University School of Medicine, Suwon, Republic of Korea
• Ph.D. in Artificial Intelligence (March 2016 - August 2022)
  • Department of Artificial Intelligence, Ajou University, Suwon, Republic of Korea.
  • Thesis: Graph Domain Adaptation for Semi-Supervised Learning [Thesis]
  • Advised by Professor Hyunjung Shin [Lab]
• B.S. in Industrial Engineering (March 2009 - February 2016)
  • Department of Industrial Engineering, Ajou University, Suwon, Republic of Korea.
• Daegu Science High School, Daegu, Republic of Korea (March 2006 - February 2009)

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Grant & Funding

• [01] PI: [2022.09 - 2025.08.], Basic Science Research Program, “Multi-Modal and Multi-Domain based Machine Learning Algorithms for Dementia Progression Prediction” (2022R1A6A3A01086784), supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Republic of Korea.

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Ongoing Research

[ ^† Co-first author & ^* Corresponding author ]

• [08] Sunghong Park, Hyun Goo Woo^*, Hyunjung Shin^*. “Causal Diffusion on Multiplex Graphs for Robust Out-of-Distribution Generalization”.

• [07] Sunghong Park, Hyun Goo Woo^*, Hyunjung Shin^*. “Generalized Discriminant Analysis for Explainable Concept Learning within Structurally-Aware Geometric Space”.

• [06] Sunghong Park^†, Junghyun Kim^†, JeongHeun Yeon, Hyun Goo Woo^*, Hyunjung Shin^*. “Balancing the Unbalanceable: Harnessing Productive Tension via Dynamic Pareto-Guided Optimization”.

• [05] Sunghong Park, Hyun Goo Woo^*. “Causally-Infused Complexity-Guided Learning on Computational Pathology”.

• [04] Sunghong Park^†, Junghyun Kim^†, JeongHeun Yeon, Hyun Goo Woo^*, Hyunjung Shin^*. “Distributionally Robust Manifold Alignment Framework for Geometric Information Fusion for Multiplex Graphs under Extreme Label Scarcity”.

• [03] Sunghong Park^†, Ji-Hye Choi^†, Hyun Goo Woo^*. “Artificial Intelligence-based Foundation-to-Precision Framework for Robust Survival Prediction and Therapeutic Hypothesis Generation in Hepatocellular Carcinoma”.

• [02] Sunghong Park, Julien Calderaro, Hyun Goo Woo^*. “SPOT-MIL: Spatially-Guided Prototype-Based Optimal Transport Alignment for Trustworthy Multiple Instance Learning in Whole Slide Image Analysis”.

• [01] Sunghong Park, JeongHeun Yeon, Hyun Goo Woo^*, Hyunjung Shin^*. “Robust Multiplex Graph Domain Adaptation via Pseudo-Label-Free Manifold Alignment under Extreme Label Scarcity”.

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Journal Publications

[ ^† Co-first author & ^* Corresponding author ]

• [14] Sunghong Park^†, Masaud Shah^†, JeongHeun Yeon, Ji-Hye Choi, Muhammad Hussain, Hyunjung Shin^*, Hyun Goo Woo^*. “MultiGENN: multiplex graph ensemble neural network for plasma proteomic profiling of neurodegenerative biomarkers”. (Submitted to) IEEE Journal of Biomedical and Health Informatics (2025)

• [13] Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Dokyoon Kim, Yonghyun Nam, Bumhee Park, Narae Kim, Seulgi Lee, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Hyunjung Shin^*, Hyun Goo Woo^*. “Explainable multiplex graph propagation network with multimodal neuroimage integration for dementia subtype diagnosis”. Neural Networks 192:107971, December 2025 [ Paper | JIF=6.3 | Top 10.4% | JCR2024 ].

• [12] Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Masaud Shah, Hyunjung Shin^*, Hyun Goo Woo^*. “BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers”. Artificial Intelligence in Medicine, 169:103241, November 2025 [ Paper | JIF=6.2 | Top 13.5% | JCR2024 ].

• [11] Sunghong Park^†, Doyoon Kim^†, Ji-Hye Choi, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Hyunjung Shin^*, Hyun Goo Woo^*. “NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network”. Briefings in Bioinformatics, 26(4):bbaf336, August 2025 [ Paper | JIF=7.7 | Top 2.2% | JCR2024 ].

• [10] Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Seung Ho Kim, Hyeon Jin Hwang, Hyunjung Shin^*, Hyun Goo Woo^*. “PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based explainable graph propagational network”. Briefings in Bioinformatics, 26(3):bbaf213, May 2025 [ Paper | JIF=6.8 | Top 4.1% | JCR2023 ].

• [09] Sunghong Park, JeongHeun Yeon, Dong-gi Lee, Sang Joon Son, Hyun Goo Woo^*, Hyunjung Shin^*, Hyun Goo Woo^*. “Prospective Domain Adaptation for Longitudinal Data”. Knowledge-Based Systems, 309:112879, January 2025 [ Paper | JIF=7.2 | Top 13.5% | JCR2023 ].

• [08] Sunghong Park^†, Doyoon Kim^†, Heirim Lee, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Dokyoon Kim, Yonghyun Nam, Dong-gi Lee, Hyunjung Shin^*, Hyun Goo Woo^*. “Plasma protein-based identification of imaging-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network”. Computers in Biology and Medicine, 183:109303, December 2024 [ Paper | JIF=7.0 | Top 2.3% | JCR2023 ].

• [07] Sunghong Park, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Doyoon Kim, Hyunjung Shin^*, Hyun Goo Woo^*. “Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network”. Briefings in Bioinformatics, 25(5):bbae428, September 2024 [ Paper | JIF=6.8 | Top 4.1% | JCR2023 ].

• [06] Sunghong Park, Sang Joon Son, Kanghee Park, Yonghyun Nam, Hyunjung Shin^*. “In-house data adaptation to public data: multisite MRI harmonization to predict Alzheimer’s disease conversion”. Expert Systems with Applications, 238:122253, March 2024 [ Paper | JIF=8.5 | Top 6.4% | JCR2022 ].

• [05] Sunghong Park^†, Kanghee Park^†, Hyunjung Shin^*. “Network based Enterprise Profiling with Semi-Supervised Learning”. Expert Systems with Applications, 238:121716, March 2024 [ Paper | JIF=8.5 | Top 6.4% | JCR2022 ].

• [04] Sunghong Park, Myung Jun Kim, Kanghee Park, Hyunjung Shin^*. “Mutual Domain Adaptation”. Pattern Recognition, 145:109919, January 2024 [ Paper | JIF=8.0 | Top 10.7% | JCR2022 ].

• [03] Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, Hyunjung Shin^*. “Prospective classification of Alzheimer’s disease conversion from mild cognitive impairment”. Neural Networks, 164:335-344, July 2023 [ Paper | JIF=7.8 | Top 9.4% | JCR2022 ].

• [02] Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin^*. “Customer sentiment analysis with more sensibility”. Engineering Applications of Artificial Intelligence, 104:104356, September 2021 [ Paper | JIF=6.212 | Top 7.222% | JCR2020 ].

• [01] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”. BMC Medical Informatics and Decision Making, 17:1-11, May 2017 [ Paper | JIF=2.042 | Top 42.500% | JCR2015 ].

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Patent Achievements

• [17] 멀티모달 의료영상 기반 신경퇴행성 질환 위험도 예측 시스템 및 그 방법
  • 출원번호: 10-2025-0178085 (출원일자: 2025년 11월 21일).
  • 발명자: 신현정, 우현구, 박성홍, 박범희, 김나래, 이슬기, 홍창형, 손상준, 노현웅.
• [16] 다중 단백질 상호작용 네트워크 통합 기반의 신경퇴행성 질환 위험도 예측 시스템 및 그 방법
  • 출원번호: 10-2025-0175116 (출원일자: 2025년 11월 18일).
  • 발명자: 신현정, 우현구, 박성홍.
• [15] 단백질 상호작용 네트워크 및 생물학적 경로 구조를 통합한 신경퇴행성 질환 위험도 예측 시스템 및 그 방법
  • 출원번호: 10-2025-0175115 (출원일자: 2025년 11월 18일).
  • 발명자: 우현구, 신현정, 박성홍.
• [14] 단백질 간 상호작용 네트워크 및 클러스터링을 이용한 신경퇴행성 질환 위험도 예측 시스템 및 그 방법
  • 출원번호: 10-2025-0175114 (출원일자: 2025년 11월 18일).
  • 발명자: 우현구, 신현정, 박성홍, 홍창형, 손상준, 노현웅.
• [13] APPARATUS AND METHOD OF DIAGNOSING GENETIC RISK OF ALZHEIMER’S DISEASE BASED ON SNP INTERACTION DATA
  • Application No.: PCT/KR2025/014322 (Filed: Sep. 15, 2025).
  • Inventors: Hyunjung Shin, Hyun Goo Woo, Sunghong Park.
• [12] DIAGNOSIS APPARATUS AND METHOD OF MILD COGNITIVE IMPAIRMENT SUBTYPE
  • Application No.: PCT/KR2025/014318 (Filed: Sep. 15, 2025).
  • Inventors: Hyunjung Shin, Hyun Goo Woo, Sunghong Park.
• [11] 인공지능을 이용한 혈장 단백질 프로파일링 기반의 신경퇴행성 질환 위험도 예측 시스템 및 그 방법
  • 출원번호: 10-2025-0111026 (출원일자: 2025년 08월 12일).
  • 발명자: 우현구, 신현정, 박성홍.
• [10] APPARATUS AND METHOD OF DIAGNOSING DEMENTIA SUBTYPES
  • Application No.: PCT/KR2025/095161 (Filed: Apr. 4, 2025).
  • Inventors: Hyunjung Shin, Sunghong Park, Hyun Goo Woo.
• [09] SNP 상호작용 데이터 기반 알츠하이머병 유전적 위험 진단 장치 및 방법
  • 출원번호: 10-2025-0024936 (출원일자: 2025년 02월 26일).
  • 발명자: 신현정, 우현구, 박성홍.
• [08] 경도 인지 장애 하위유형 진단 장치 및 방법
  • 출원번호: 10-2025-0006453 (출원일자: 2025년 01월 16일).
  • 발명자: 신현정, 우현구, 박성홍.
• [07] 치매 하위유형 진단 장치 및 방법
  • 출원번호: 10-2024-0166395 (출원일자: 2024년 11월 20일).
  • 발명자: 신현정, 박성홍, 우현구.
• [06] PROSPECTIVE CLASSIFICATION DEVICE FOR PREDICTING DEMENTIA AND OPERATION METHOD OF THE SAME [Link]
  • Application No.: 18/401,742 (Filed: Jan. 2, 2024) & Publication No.: US 2024/0221955 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [05] LEARNING METHOD AND DEVICE FOR ALZHEIMER PREDICTION MODEL BASED ON DOMAIN ADAPTATION [Link]
  • Application No.: 18/401,741 (Filed: Jan. 2, 2024) & Publication No.: US 2024/0221946 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [04] Domain adaptation method for longitudinal data and device using thereof [Link]
  • Application No.: 18/398,170 (Filed: Dec. 28, 2023) & Publication No.: US 2024/0220575 A1 (Date: Jul. 4, 2024).
  • Inventors: Hyunjung Shin, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Sunghong Park.
• [03] 치매 예측을 위한 전향적 분류 장치 및 이의 동작 방법 [Link]
  • 출원번호: 10-2023-0196108 (출원일자: 2023년 12월 29일) & 공개번호: 10-2024-0108289 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.
• [02] 도메인 적응 기반 알츠하이머 예측 모델 학습 방법 및 장치 [Link]
  • 출원번호: 10-2023-0196220 (출원일자: 2023년 12월 29일) & 공개번호: 10-2024-0108291 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.
• [01] 종단적 데이터에 대한 도메인 적응 방법 및 이를 이용한 장치 [Link]
  • 출원번호: 10-2023-0192832 (출원일자: 2023년 12월 27일) & 공개번호: 10-2024-0108271 (공개일자: 2024년 07월 09일).
  • 발명자: 신현정, 박성홍, 손상준, 홍창형, 노현웅.

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Conference Presentations

[ ^† Co-first author & ^* Corresponding author ]

• [31] Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Hyunjung Shin^*, Hyun Goo Woo^* et al. “NetPRS: SNP interaction aware network-based polygenic risk score for Alzheimer’s disease”. IEEE EMBS BHI 2024 Conference (2024)

• [30] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Domain adaptation based multi-graph integration for semi-supervised learning”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [29] Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin^*. “Predicting Alzheimer’s disease progression using multi-site domain adaptation”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [28] Sunghong Park, Dong-gi Lee, Chang Hyung Hong, Hyunjung Shin^*. “Prospective Classification for Predicting Alzheimer’s Disease Progression”. Proc. of Korea Computer Congress 2022 (KCC 2022), June 2022, Jeju (Korea).

• [27] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Semi-supervised learning using domain adaptation-based multi-graph integration”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [26] Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin^*. “Dementia progression prediction using multi-site domain adaptation”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [25] Sunghong Park, Dong-gi Lee, Chang Hyung Hong, Hyunjung Shin^*. “A Prospective Classification Algorithm for Predicting Dementia Progression”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2022 Spring), June 2022, Jeju (Korea).

• [24] Dong-gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Learning Neural Networks without Lazy Weights”, Proc. of 2022 International Conference on Big Data and Smart Computing (BIGCOMP 2022).

• [23] Myeonggeon Park, Sunghong Park, Hyunjung Shin^*. “Literature Representation using Character Networks based on Sentiment Analysis”, Proc. of 2022 International Conference on Big Data and Smart Computing (BIGCOMP 2022).

• [22] Sunghong Park, Myungjun Kim, Hyunjung Shin^*. “Mutual Label Propagation with Domain Adaptation based Semi-Supervised Learning”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2021 Spring), June 2021, Jeju (Korea).

• [21] Myeonggeon Park, Sunghong Park, Hyunjung Shin^*. “Network based Sentiment Analysis for Narrative Representation”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2021 Spring), June 2021, Jeju (Korea).

• [20] Sunghong Park, Myungjun Kim, Hyunjung Shin^*. “Mutual Semi-Supervised Learning”. Proc. of Korea Software Congress 2020 (KSC 2020), December 2020, Online conference.

• [19] Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin^*. “Clustering Novels with Character Sentiment Network”. Proc. Of Korea Software Congress 2020 (KSC 2020), December 2020, Online conference.

• [18] Myeonggeon Park, Sunghong Park, Sunjoo Bang, Hyunjung Shin^*. “Extracting Novel Vectors based on Character Network”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2020 Fall), November 2020, Seoul (Korea).

• [17] Jong Ho Jhee, Sunghong Park, Hyunjung Shin^*. “Graph Classification with Gromov-Wasserstein Distance via Heat Kernel”. Proc. of Korea Software Congress 2019 (KSC 2019), December 2019, PyeongChang (Korea).

• [16] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Design of Enterprise Evalulation and Potential Prospect Index using Machine Learning”. Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2019 Fall), November 2019, Seoul (Korea).

• [15] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Machine Learning based Enterprise Evaluation Model using Financial Information”. Proc. of Korea Software Congress 2018 (KSC2018), December 2019, PyeongChang (Korea).

• [14] Sunghong Park, Kanghee Park and Hyunjung Shin^*. “Machine Learning based Enterprise Prospect Evaluation”. 2019 International Joint Conference on AI & Data Science: Mathematics and Applications, Suwon (Korea).

• [13] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Financial Information based Enterprise Evaluation Model with Semi-Supervised Learning”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall), November 2018, Seoul (Korea).

• [12] Sunghong Park, Kanghee Park, Hyunjung Shin^*. “Semi-Supervised Learning based Korean Sentiment Dictionary Construction with SentiWordNet”. Proc. of the Korea Data Mining Society Conference Conference (KDMS 2018 Fall), November 2018, Seoul (Korea).

• [11] Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Causal Disease Chains from Various Biomedical data”, Proc. of 17th European Conference on Computational Biology 2018 (ECCB 2018).

• [10] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “SentiWordNet based Korean Sentiment Dictionary Construction via Machine Learning”. Proc. of Korea Computer Congress 2018 (KCC 2018), June 2018, Jeju (Korea).

• [09] Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin^*. “Inference on Chains of Disease Causal Relationship based on k-shortest Path Algorithm”. Proc. of Korea Computer Congress 2018 (KCC2018), June 2018, Jeju (Korea).

• [08] Sunghong Park, Junhee Cho, Hyunjung Shin^*. “Sentiment Dictionary Construction and Customer Evaluation Analysis via Machine Learning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2018 Spring).

• [07] Sunghong Park, Hyunjung Shin^*. “Analysis of Word Polarity Expansion and Emotion Inducing Factors in Sentiment Analysis”. Proc. of The Korean Software Congress 2017 (KSC 2017), December 2017, Busan (Korea).

• [06] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Mirroring Disease Networks for Drug Repositioning”. Proc. of the Korean Society for Cognitive Science (KSCS 2017), May 2017, Seoul (Korea).

• [05] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Machine Learning Algorithm for Drug Repositioning”. Proc. of the Business Intelligence and Data Mining Conference (BIDM 2016 Fall), November 2016, Seoul (Korea).

• [04] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”, Proc. of Translational Bioinformatics Conference 2016 (TBC 2016).

• [03] Sunghong Park, Dong-gi Lee and Hyunjung Shin^*. “Drug Repositioning with Disease Network Reflection”, Proc. of the BIOINFO 2016 (BIOINFO 2016).

• [02] Jiwoo Han, Kangsik Shin, Kilyong Lee, Kyunghye Kim, Minsoo Kim, Sunghong Park, Hyunjung Shin^*. “Development plan for successful PyeongChang 2018 Olympic”. Proc. of Joint Conference on Management Science and Industrial Engineering, April 2016, Jeju (Korea).

• [01] Sunghong Park, Dong-gi Lee, Hyunjung Shin^*. “Network Mirroring for Drug Repositioning”. Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016), April 2016, Jeju (Korea).

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Awards & Honors

• [04] Best Presentation Paper Award, Proc. of Korea Computer Congress 2022 (KCC 2022)
  • Sunghong Park, Sang Joon Son, Yonghyun Nam, Hyunjung Shin*. “Predicting Alzheimer’s disease progression using multi-site domain adaptation”.
• [03] Best Paper Award, Proc. of Korea Software Congress 2020 (KSC 2020)
  • Sunghong Park, Myungjun Kim, Hyunjung Shin*. “Mutual Semi-Supervised Learning”.
• [02] Best Paper Award, Proc. of Korea Computer Congress 2018 (KCC 2018)
  • Dong-gi Lee, Myungjun Kim, Sunghong Park, Hyunjung Shin*. “Inference on Chains of Disease Causal Relationship based on k-shortest Path Algorithm”.
• [01] Best Presentation Paper Award, Proc. of Korea Computer Congress 2018 (KCC 2018)
  • Sunghong Park, Dong-gi Lee, Hyunjung Shin*. “SentiWordNet based Korean Sentiment Dictionary Construction via Machine Learning”.