Phoenix Research

Research, supervision, and open topics

Aditya Firman Ihsan · School of Computing, Telkom University

80+publications·257citations·10h-index·Google Scholar ↗

The main focus is Scientific Machine Learning: bringing mathematical analysis together with deep learning for physical systems that neither can handle alone. Two supporting tracks, AI for cultural heritage and the ethics and governance of AI, begin from the same question: what survives, and what quietly does not, when something understood the hard way is handed over to a machine.

Open for supervision, research assistants & collaboration

Open for final project, master's, and doctoral supervision, research assistant positions, and general collaboration outside the student academic track. All routes start from the same short form.

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Research Tracks

Applied Mathematics & Scientific Machine LearningMain ResearchTeaching machines to understand, read, and solve physical laws and phenomena.Open for supervision & research assistants→AI & Indonesian Cultural HeritageBatik and Indonesian scripts as computational problems, and as knowledge worth guarding and keeping alive.Open for supervision & research assistants→AI Ethics & GovernanceWho bears the cost when a system gets it wrong, and how a society gets a say before that happens.→

Selected Work

Frontiers in Artificial IntelligenceQ12026

Society-oriented AI governance: a parallel layered model and multi-actor coordination framework

A society-oriented model of AI governance, layered and parallel rather than a single chain of command, which produced a T20 policy brief on AI adoption in healthcare.

A.F. Ihsan, T.S. Siadari, A. Alamsyah, K.M. Lhaksmana, H.M. JumhurRead ↗

Discover SustainabilityQ12025

Financial distress prediction in emerging markets by using a machine learning approach for financial sustainability

Machine learning for predicting corporate financial distress in emerging markets, the applied side of this track, where the data is real and the results get used.

F.T. Kristanti, D.F. Salim, A.F. IhsanRead ↗

Journal of Sound and VibrationQ12024

On string vibrations influenced by a smooth obstacle at one of the endpoints

String vibration against a smooth obstacle, a moving-contact problem, taken apart analytically with multiple time-scale perturbation, a class of problem usually only reachable numerically.

A.F. Ihsan, W.T. van Horssen, J.M. TuwankottaRead ↗

Procedia Computer ScienceQ22023

Initial study of batik generation using variational autoencoder

A generative model trying to capture a batik motif's grammar rather than just its look, and the question of what is stored when a tradition is compressed into a few hundred numbers.

A.F. IhsanRead ↗

See all publications on Google Scholar ↗

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