Embedded Files
Publications
*Equal contribution
Index: Journal–J, international conference–I, domestic conference–D, workshop–W, preprint–P
Artificial intelligence-driven computational methods for antibody design and optimization
mAbs 17(1), 2528902 (2025)
Luiz Felipe Vecchietti*, Bryan Nathanael Wijaya*, Azamat Armanuly, Begench Hangeldiyev, Hyunkyu Jung, Sooyeon Lee, Meeyoung Cha, Ho Min Kim
J3 – [Paper]
Leveraging Synthetic Data for Data-Free Knowledge Distillation
Proceedings of Korea Software Congress 2024 (eds. Kim, T. et al.) 692-694 (KIISE, Seoul, 2024)
Previously: KAIST CS570 Artificial Intelligence and Machine Learning, Spring 2024
Biniyam Aschalew Tolera*, Bryan Nathanael Wijaya*, Minhajur Rahman Chowdhury Mahim
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)
Sondavid K. Nandanwar, Shweta B. Borkar, Bryan Nathanael Wijaya, Enkhnaran Bayaraa, Lei Lottice Anne Piad, QiuLi Jin, Celine Sheila Tiara, Hak Jun Kim, Naresh H. Tarte
J2 – [Paper]
Cobalt(II) Benzazole Derivative Complexes: Synthesis, Characterization, Antibacterial and Synergistic Activity
ChemistrySelect 5(11), 3471-3476 (2020)
Sondavid K. Nandanwar, Shweta B. Borkar, Bryan Nathanael Wijaya, Joung Hyung Cho, Naresh H. Tarte, Hak Jun Kim
J1 – [Paper]
Posters and Talks
Posters and Talks
*Equal contribution
The presenter(s) is underlined.
Unveiling the Pregnancy and Health Trends of Nurses in South Korea: Analyzing and Modeling the Korea Nurses’ Health Study
Bryan Nathanael Wijaya, Luiz Felipe Vecchietti, Sungwon Han, Aram Cho, Meeyoung Cha, Chiyoung Cha
Lightning Talk, CASA & RC Trust Summer School 2025, Ruhr-Universität Bochum, 2025.06
Poster, Institute Retreat 2025, MPI-SP, 2025.06
Towards low-resource culture-aware harmful meme detection
Bryan Nathanael Wijaya*, Luiz Felipe Vecchietti*, Cheng Yaw Low*, Wenchao Dong, Assem Zhunis, Meeyoung Cha
Poster, 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.
Chat2Plan: Course Planner Chatbot for KAIST SoC Students
KAIST CS579 Computational Linguistics, Fall 2024
Bryan Nathanael Wijaya
The Paradox of Happiness
Summer Institute in Computational Social Science (SICSS) Korea 2024
Bryan Nathanael Wijaya, Inkoo Kang, Ju Hee Jeung, Kyungmin Lee, Yumi Park
StyleCLIP+: Towards an Extended and User-Friendly StyleCLIP
KAIST CS470 Introduction to Artificial Intelligence, Fall 2023
Myeongseok Kwon, Junhak Ha, Dongwan Hong, Kyeongmin Lee, Bryan Nathanael Wijaya
DHD Kamja Maintenance System
KAIST CoE202(B) Basics of Artificial Intelligence: Physical AI, Fall 2023
Bryan Nathanael Wijaya, Tivan Varghese George, Sachit Varshney
FrozenLake: Reinforcement Learning-Based Autonomous Car Design
KAIST CoE202(B) Basics of Artificial Intelligence: Physical AI, Fall 2023
Bryan Nathanael Wijaya, Tivan Varghese George, Sachit Varshney
Outfit Generation and Recommendation: Efficient, Effective, and Adaptive Algorithms
KAIST AI506 Data Mining and Search, Spring 2023
Bryan Nathanael Wijaya, Quang Minh Nguyen
Detection of fake import declarations
KAIST CS361 Introduction to Data Science, Spring 2023
Bryan Nathanael Wijaya
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