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Education

• Thesis: Modeling The Concurrent Polarization of Opinion and News Propagation Structure in Social Media
• Research Focus: Network Science, Social Networks, Agent-based Modelling
• Advisor: Tsuyoshi Murata, Associate Professor
• GPA: 3.48/4.50

• Thesis: Search-based Procedural Content Generation for Race Tracks in Video Games
• Research Focus: Evolutionary Algorithm, Procedural Content Generation
• Advisor: Dr. Nur Ulfa Maulidevi ST, M.Sc.
• GPA: 3.89/4.00

Publication

International Journal

• Prasetya, H. A., & Murata, T. A Model of Opinion and Propagation Structure Polarization in Social Media. Computational Social Networks
• Prasetya, H. A., & Maulidevi, N. U. (2016). Search-based Procedural Content Generation for Race Tracks in Video Games. International Journal on Electrical Engineering & Informatics, 8(4).

Peer-Reviewed International Conference

• Prasetya, H. A., & Murata, T. (2018, December). Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media. In International Workshop on Complex Networks and their Applications (pp. 314-326). Springer, Cham.

Honors and Awards

• Indonesia Endowment Fund for Higher Education (2017-2019)
  Full scholarship for Master's Education, Batch 102
• PPA Scholarship
  Indonesian Ministry of Research, Technology, and Higher Education (2013)
  Biannual allowance for highly-performing students

Other Academic Activities

• Foreign Student Tutor (2018)
  Tokyo Institute of Technology
• Presentation on Gephi Basics (2018)
  Complex Network Lecture, Tokyo Institute of Technology
• Student Volunteer (2017)
  The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval