Resume - Ananda Phan

Name:

Ananda Phan Iman

Degree:

Bachelor of Computer Science (S.Kom.)
Bachelor of Science in Mathematics (S.Si.)

Location:

Gwangju,
South Korea

Connect:

Keywords

At a Glance

I am a Ph.D. candidate in Artificial Intelligence at GIST, South Korea. My research focuses on music AI, music information retrieval, piano fingering estimation, reinforcement learning, evolutionary computation, and transfer optimization. With a background in mathematics and computer science, I am interested in building interpretable and efficient AI systems that integrate theoretical rigor with domain knowledge. Alongside research, I have over eight years of experience teaching mathematics and continue to explore music through piano, performance, and music production.

Education

Aug 2021 – Present
Integrated M.S./Ph.D. in Artificial Intelligence
Gwangju Institute of Science and Technology (GIST), South Korea
Research Interest :
– Piano Fingering Estimation, Music Generation, Music Information Retrieval, Music AI
– Evolutionary Computation, Transfer Optimization, Multitasking Optimization, Generative Models

Jan – Jul 2025
Visiting Ph.D. Research Student
Nanyang Technological University (NTU), Singapore
Supervisor : Prof. Yew-soon Ong

Sep 2014 – Feb 2019
Double Major Bachelor’s Degree in Computer Science and Mathematics
BINUS University, Indonesia
Final Project: Automatic music generation using recurrent neural networks.

June 2016
Summer Program, Student Ambassador for ASEAN Project 2016
Prince of Songkla University, Phuket, Thailand

Research Experience

2021 – Present
Research Assistant
Meta Evolutionary Machine Intelligence Lab, GIST
Gwangju, South Korea
– Exploring transfer optimization and evolutionary multitasking for piano fingering estimation.
– Conducting research in Music Information Retrieval (MIR), with a focus on piano fingering estimation and symbolic music generation.
– Literature reviews, experimental pipelines, model evaluation, and collaborative writing for publication.
– Continuously studying and applying generative models (e.g., VAEs, GANs, Transformers) to support structured modeling in music.

Jan – Jul 2025
Visiting Ph.D Researcher
College of Computing and Data Science (CCDS), NTU
Singapore
– Conducted exploratory research in evolutionary multitasking optimization and generative modeling in the context of music-related problems.
– Deep investigation of representation learning, transfer optimization, and multitasking optimization
– Collaborated with researchers on a method for efficiently solving piano fingering estimation

Aug 2023 – Jan 2024
Visiting Researcher
Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU)
Singapore
– Explore evolutionary multitasking optimization for piano fingering optimization.
– Designed and analyzed the continuous relaxation representation for the discrete subset selection combinatorial problem to improve the effectiveness of transfer optimization.

Work Experience

Aug 2018 – Feb 2019
Big Data Engineer Intern
PT Bank Central Asia Tbk
Jakarta, Indonesia
– Worked with Informatica Big Data Management, linux scripting, and data warehousing workflows.
– Developed bash scripts to transition ETL pipeline to ELT-based processing.
– Worked with heterogeneous data formats (e.g., parquet, relational sources) and implemented data warehousing workflows for analytics use cases.

Selected Publications

Ananda Phan Iman, Tingyang Wei, Chang Wook Ahn. Diagnosing Optimizer-Landscape Interaction via Representation in Subset Selection Multitasking: Evidence from Piano Fingering. 2026 IEEE Congress of Evolutionary Computation (CEC). 2026.

Ananda Phan Iman, Chang Wook Ahn. Elite Episode Replay Memory for Polyphonic Piano Fingering Estimation.
Mathematics 13, no. 15: 2485. 2025. https://doi.org/10.3390/math13152485

Seminar and Teaching

(Spring 2026) Teaching Assistant for Mathematics for Artificial Intelligence at GIST, South Korea
(Feb 2026) Guest speaker at the seminar “Perspectives on Graduate Research and Ph.D. Study: Insights from South Korea” for master’s students in the MTI program at BINUS University
(May 2024) Guest speaker at the seminar “The World of Music AI” for undergraduate data science students taking the Deep Learning course at BINUS University, Indonesia
(July 2024) Presented a poster at IEEE CAI 2024 held in Singapore
(Fall 2022) Teaching Assistant for Evolutionary AI at GIST, South Korea

Skills

Research: Music information retrieval, piano fingering estimation, generative model, multitasking optimization, evolutionary computation
Programming: Python, PyTorch, SQL, React, C++, Java
Mathematics: Optimization, applied mathematics, mathematical reasoning
Music: classical piano, music production, composition, choir experience
Language:
– Indonesian: Native in Indonesian, first language learned and grew up with.
– English: Fluent in english (current default thinking language)
– Korean: Upper Intermediate, capable of communicating fluently and spontaneously.
– Mandarin Chinese: Language learned as I grew up. It degraded because I haven’t used it for years. Planning to re-learn after fully mastering Korean.

Awards & Certification

2024 GIST International Research Experience Fellowship (GIST-IREF) Recepient
2023 GIST AXEL Overseas Internship Program Recipient
Certificate of Completetion of Algorit.ma Student Track "Programming Data Science, Statistics, Data Visualization, Regression, and Classification in Machine Learning"
Best of The Best Mentor
SAC Mentoring Program Even 2016/2017
1st Runner Up of Web Commerce Design Competition
Universitas Negeri Jakarta
Excellent Awards
SAC Mentoring Program Even 2015/2016
Student Ambassador for ASEAN Project 2016
Prince of Songkla University, Phuket, Thailand
Best Volunteer of "Mandiri Jakarta Marathon" 2014
Inspiro, Mandiri and Teach for Indonesia
Finalist of "High School Mathematics Olympiad"
Province Level, MGMP DKI JAKARTA 2014
National Science Olympiad (Mathematics)
West Jakarta Regional Representative