Publications
*Equal contribution
Index: IJ International Journal, DJ Domestic Journal, IC International Conference, DC Domestic Conference, WO Workshop, PR Preprint
IJ03: Bryan Nathanael Wijaya, Yumi Park, Ju Hee Jeung, and Kyungmin Lee. "Exploring the relationship between air quality and happiness in South Korea using artificial neural networks." Environmental Impact Assessment Review 117, 108135 (2026) — [Paper] [Code]
IJ02: Luiz Felipe Vecchietti*, Bryan Nathanael Wijaya*, Azamat Armanuly, Begench Hangeldiyev, Hyunkyu Jung, Sooyeon Lee, Meeyoung Cha, and Ho Min Kim. "Artificial intelligence-driven computational methods for antibody design and optimization." mAbs 17(1), 2528902 (2025) — [Paper]
DC02: Biniyam Aschalew Tolera*, Bryan Nathanael Wijaya*, and Minhajur Rahman Chowdhury Mahim. "Leveraging Synthetic Data for Data-Free Knowledge Distillation." In the Proceedings of Korea Software Congress 2024 (eds. Kim, T. et al.) 692–694 (KIISE, Seoul, 2024) — [Paper] [Poster] [Presentation] [Code]
DC01: Bryan Nathanael Wijaya, Luiz Felipe Vecchietti, Meeyoung Cha, and Ho Min Kim. "Evaluating Antibody Structure Reconstruction with an SE(3)-Equivariant Graph Neural Network." In the Proceedings of Korea Software Congress 2023 (eds. Park, H. et al.) 1681–1683 (KIISE, Seoul, 2023) — Excellence Award (Undergraduate Division), 2024.02 — [Paper] [Poster]
DJ01: Sondavid K. Nandanwar, Shweta B. Borkar, Bryan Nathanael Wijaya, Enkhnaran Bayaraa, Lei Lottice Anne Piad, QiuLi Jin, Celine Sheila Tiara, Hak Jun Kim, and Naresh H. Tarte. "Synthesis and characterization of novel chelation-free Zn(II)-azole complexes: Evaluation of antibacterial, antioxidant, and DNA binding activity." Indian Journal of Chemistry – Section A 59(5), 589–597 (2020) — [Paper]
IJ01: Sondavid K. Nandanwar, Shweta B. Borkar, Bryan Nathanael Wijaya, Joung Hyung Cho, Naresh H. Tarte, and Hak Jun Kim. "Cobalt(II) Benzazole Derivative Complexes: Synthesis, Characterization, Antibacterial and Synergistic Activity." ChemistrySelect 5(11), 3471–3476 (2020) — [Paper]
*Equal contribution
The presenter(s) are underlined.
Bryan Nathanael Wijaya, Luiz Felipe Vecchietti, Sungwon Han, Aram Cho, Meeyoung Cha, and Chiyoung Cha. "Unveiling the Pregnancy and Health Trends of Nurses in South Korea: Analyzing and Modeling the Korea Nurses’ Health Study."
Lightning Talk at CASA & RC Trust Summer School 2025, Ruhr-Universität Bochum (2025.06)
Poster at the MPI-SP Institute Retreat 2025 (2025.06)
Bryan Nathanael Wijaya*, Luiz Felipe Vecchietti*, Cheng Yaw Low*, Wenchao Dong, Assem Zhunis, and Meeyoung Cha. "Towards low-resource culture-aware harmful meme detection." Poster at the AI & Data for Social Good Forum, CLIO Institute for Social Development Studies, Yonsei University (2024.05)
Course and Training Projects
The list is restricted to selected computer science-related projects only. In this section, authors are listed in student ID (for course projects) or alphabetical (for training projects) order instead of contribution.
Bryan Nathanael Wijaya. "Chat2Plan: Course Planner Chatbot for KAIST SoC Students." KAIST CS579 Computational Linguistics, Fall 2024 — [Paper] [Presentation] [Code] [Video] [Demo]
Haun Kim, Seokyoung Kim, and Bryan Nathanael Wijaya. "PVD-Vox: Point-Voxel Diffusion for 3D Volume Generation in Voxel Grids." KAIST CS492(D) Special Topics in Computer Science: Diffusion Models and Their Applications, Fall 2024 — [Paper] [Poster] [Code]
Bryan Nathanael Wijaya, Inkoo Kang, Ju Hee Jeung, Kyungmin Lee, and Yumi Park. "The Paradox of Happiness." Summer Institute in Computational Social Science (SICSS) Korea 2024 — [Presentation] [Code]
Myeongseok Kwon, Junhak Ha, Dongwan Hong, Kyeongmin Lee, and Bryan Nathanael Wijaya. "StyleCLIP+: Towards an Extended and User-Friendly StyleCLIP." KAIST CS470 Introduction to Artificial Intelligence, Fall 2023 — [Paper] [Presentation] [Code] [Video]
Bryan Nathanael Wijaya, Tivan Varghese George, and Sachit Varshney. "DHD Kamja Maintenance System." KAIST CoE202(B) Basics of Artificial Intelligence: Physical AI, Fall 2023 — [Presentation] [Code] [Video]
Bryan Nathanael Wijaya, Tivan Varghese George, and Sachit Varshney. "FrozenLake: Reinforcement Learning-Based Autonomous Car Design." KAIST CoE202(B) Basics of Artificial Intelligence: Physical AI, Fall 2023 — [Presentation]
Bryan Nathanael Wijaya and Quang Minh Nguyen. "Outfit Generation and Recommendation: Efficient, Effective, and Adaptive Algorithms." KAIST AI506 Data Mining and Search, Spring 2023 — [Paper] [Presentation] [Code] [Video]
Bryan Nathanael Wijaya. "Detection of fake import declarations." KAIST CS361 Introduction to Data Science, Spring 2023 — [Paper]