SHEENA K. S.

Experienced academic with over 10 years in teaching and 4 years in cutting-edge research, specializing in machine learning, data analysis, and DNA sequence compression. Adept at translating complex concepts into practical applications and conducting innovative research in both educational and research settings. Seeking to transition into the data science industry , where I can leverage my strong analytical skills, extensive research background, and passion for solving real-world problems through data-driven solutions.

• Qualified UGC NET
• GATE-2006
• GATE-2018

• Machine Learning, Stanford University (via Coursera)
• Introduction to Genomic Technologies, Johns Hopkins University (via Coursera)
• Python for Genomic Data Science, Johns Hopkins University (via Coursera)
• Neural Networks and Deep Learning, DeepLearning.AI (via Coursera)

• Sheena K. S., and Madhu S. Nair, GenCoder: A Novel Convolutional Neural Network based Autoencoder for Genomic Sequence Data Compression, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21, 405–415, 2024.
• Sheena, K. S., and Madhu S. Nair, DNACoder: a CNN-LSTM attention - based network for genomic sequence data compression, Neural Computing and Applications, Springer, 2024.
• Sheena K. S., and Madhu S. Nair, Lossless DNA Sequence Compression: Exploring Spatial and Sequential Redundancies of DNA Sequence with 2-D CNN Autoencoder, IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), IISc Bangalore, India, 2024.
• Sheena, K. S., and Madhu S. Nair. Classification on Compressed DNA Sequences: Correlation-based Feature Extraction using self-supervised learning, IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) - IECBES 2024 Penang, MALAYSIA (Under review).
• Sheena K. S., and Syed Ibrahim S. P., PRIVACY PRESERVING DATA MINING USING TREE BASED DATA PERTURBATION, First National Conference on Advanced Computing Systems, Hindusthan College of Engineering and Technology, Coimbatore, 2009