BSc, Computer Engineering (Smart Computing)

Senior year, focused on web development and bioinformatics. Senior thesis was on temporal prediction of heart defects with the CheXchoNet dataset (CNN, AUC 0.79–0.84), supervised by Prof. Zubaer Ibna Mannan. Current research extends that toward waveform-level signals: non-invasive intracranial pressure estimation.

The programme

The Smart Computing track at Kyungdong University combines core computer engineering (data structures, OS, networks) with a heavier emphasis on machine learning, deep learning, and bioinformatics than a typical CS undergraduate.

Senior thesis

Temporal prediction of heart defects from the CheXchoNet dataset. CNN with temporal metadata fusion, AUC 0.79–0.84. Supervisor: Prof. Zubaer Ibna Mannan.

Current research (post-thesis, ongoing)

Non-invasive intracranial pressure estimation in pediatric neurocritical care. Bidirectional LSTM on ABP and CBFV waveforms; current best LSTM at MAE 2.92 mmHg over 12 LOPO folds. Same advisor.

Beyond the curriculum

PhysioNet credentialed-access training and CITI ethics modules (Data or Specimens Only Research, Conflicts of Interest), plus the Cyfrin Updraft smart-contracts course on the side, to round out the systems side with on-chain primitives.