My lab is interested in developing machine learning solutions for a range of real problems that arise in various disciplines including bioinformatics, computational biology, biomedical engineering, and industry. The specific problems we worked on can be listed below

Bioinformatics, Biomedical Engineering and Health Informatics Projects

  • Predicting structural properties of proteins (e.g. secondary structure, torsion angles, solvent accessibility beta-sheets)
  • Respiratory virus infection detection (DREAM challenge project)
  • Parkinson disease detection (DREAM challenge project)
  • Breast cancer detection (DREAM challenge project)
  • Predicting DNA-protein interactions
  • Image analysis for C.elegans embryogenesis
  • Detecting sleep disorders from EEG signals

Industrial Projects

  • Energy demand forecasting
  • Non-technical electricity loss detection
  • Credit card fraud detection
  • House price prediction (KAGGLE challenge project)

Please e-mail me at zafer.aydin AT if you are interested in collaborating. International students and post-docs can also apply to the fellowships offered by TUBITAK from this link.