Mr. Subin Sahayam M

Assistant Professor
Department of Computer Science and Engineering

Email

Educational Qualifications

  • 2023 – (Thesis Submitted) – Ph.D./CSE – IIITDM from Indian Institute of Information Technology Design and Manufacturing Kancheepuram (2023) 
  • 2017 – M. E., Computer Science and Engineering, SSN College of Engineering, Anna University (2017) 
  • 2015 – B. E., Computer Science and Engineering, University College of Engineering Nagercoil, Anna University (2015) 

Area of Research

  • Medical Image Processing
  • Deep Learning
  • Machine Learning
  • Bioinformatics

Bio

Mr. Subin Sahayam M joined SNU Chennai as an Assistant Professor in the Department of Computer Science and Engineering on 16th June 2023. He completed his B.E from UCEN Nagercoil in 2015 and M.E from SSN College of Engineering, Chennai in 2017. He has submitted his Ph.D. thesis from IIITDM Kancheepuram in 2023 where he was also a Teaching Assistant in the department of Computer Science and Engineering. He has been a teaching assistant for Data Structures and Algorithms, C Programming, Object Oriented Programming, Pattern Recognition, Deep Learning, Data Science for Engineers, Database Management System, and Computer Network courses and laboratories.

Work Experience

  • Experience: 5 years Teaching Assistant for various courses namely, Data Structures and Algorithms, C Programming, Deep Learning, Pattern Recognition, Database Management Systems, and Computer Networks. Teaching Assistant CSE IIITDM Kancheepuram Jan 2018 – Dec 2022

Publications

  1. Adepu, A. K., Sahayam, S., Jayaraman, U., & Arramraju, R. (2023). Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data. Computers in Biology and Medicine, 154, 106571. (SCI, 2023, IF: 6.698)
  2. Jacob, S. G., Sulaiman, M. M. B. A., Bennet, B., Vijayaraghavan, R., Sahayam, S., Thiviyakalyani, N., … & Hameed, T. (2022). A graphical approach for outlier detection in gene-protein mapping of cognitive ailments: an insight into neurodegenerative disorders. Network Modeling Analysis in Health Informatics and Bioinformatics, 11(1), 22. (Scopus, 2022)
  3. Sahayam, S., Nenavath, R., Jayaraman, U., & Prakash, S. (2022). Brain tumor segmentation using a hybrid multi resolution U-Net with residual dual attention and deep supervision on MR images. Biomedical Signal Processing and Control, 78, 103939. (SCIE, 2022, IF: 5.076)