M.Sc. in Artificial Intelligence
Islamic Azad University, Science and Research Branch
2024–presentCuriosity, with an engineering instinct.
I’m Arman Salehi, a machine learning researcher and software engineer interested in how inspectable methods and dependable systems can improve work with high-stakes data.
From production systems to learning under uncertainty.
Research and engineering have shaped each other throughout my work.
B.Sc. in Computer Engineering
Sharif University of Technology
2018–2023Engineering foundation
Computer engineering at Sharif University of Technology and subsequent software roles made reliability, testing, and operational constraints part of how I frame a problem.
Machine-learning specialization
An MSc in Artificial Intelligence shifted the emphasis from building software alone to studying how learning systems behave under scarce data and consequential errors.
Biomedical research
Recent work spans ECG representation learning, interpretable clinical-risk modeling, and cold-start drug–target affinity prediction. Across these settings, I study how useful structure can be designed into a method and evaluated honestly.
Current work
The current thread connects data efficiency, generalization under shift, interpretability, uncertainty, evaluation, and the engineering needed to execute careful experiments.