Department of Computer Science
Sunu Fathima T.H
Designation : Assistant Professor
Qualification : M.Tech, NET
Email-ID : fathima@rajagiri.edu
Sunu Fathima T.H completed her M.Tech in Software Systems from Cochin University of Science & Technology (CUSAT) in 2018 as the top scorer from the university. She has secured first rank for her B.Tech in Information Technology from Cochin University of Science & Technology (CUSAT) in the year 2015. She has qualified UGC NET in June 2021. She has about 6 years of teaching experience in the field of Information Technology. She is currently doing Part-time PhD in “Improving the quality of Weather Forecasting techniques using Deep Learning” at School of Engineering, CUSAT. Her areas of research interest include Machine Learning, Deep Learning, Artificial Intelligence and Computer Vision
- M.Tech with specialization in Software Systems from Cochin University of Science & Technology
- B. Tech in Information Technology from Cochin University of Science & Technology
- UGC NET
- Joined Rajagiri College of Social Sciences, Department of Computer Science in May 2024.
- Assistant Professor, Division of Information Technology, School of Engineering, CUSAT.
- Assistant Professor, Division of Information Technology, Cochin University College of Engineering, Kuttanadu, CUSAT.
- Guest lecturer, Division of Information Technology, School of Engineering, CUSAT.
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Android App Development
- Fathima, T. H. S., & Kovoor, B. C. (2025). Explainable AI Insights into a Time Series Weather Prediction Model Using Stacked LSTM. In Data Science and Network Engineering. Springer Nature Singapore. doi: https://doi.org/10.1007/978-981-97-8336-6_3
- Fathima T H, S., Kovoor, B. C., & K U, J. (2019). Big Data Classification based on distributed fuzzy decision trees. Proceedings of ICAEEC-2019. SSRN Electronic Journal. doi:10.2139/ssrn.357649
- Fathima T H, S., Kovoor, B. C., & K U, J. (2018). A comparison of various classification techniques in Big Data Mining. INTERNATIONAL JOURNAL OF COMPUTER APPLICATION, 2(8). doi:10.26808/rs.ca.i8v2.07
- Certified NPTEL Online Faculty Development Program on " Python for Data Science"
- Faculty Development Program on NEP 2020 Orientation & Sensitization Programme under Malaviya Mission Teacher Training Programme of University Grants Commission, University of Calicut
- National level Online FDP on OBE and Application of Generative AI in Teaching and Research by VVIT Guntur and SIT Tumkur
- Webinar on “Generative AI – Prompt Engineering” by Division of Information Technology, SOE
- Webinar on “Decoding Insights: The Synergy of Data Analytics and Block Chain” by Division of Information Technology, SOE
- Certified NPTEL Online Faculty Development Program on "The Joy of Computing using Python"
- Certified NPTEL Online Faculty Development Program on "Deep Learning for Computer Vision"
- Microsoft India & SAP India led Faculty Development Program on “Artificial Intelligence” organized in collaboration with ASAP Kerala
- Workshop on Agentic AI, organized by Department of Computer Science and ICT academy of Kerala
- 3rd International Research Workshop on Advances in Deep Learning and Applications (WADLA-2023), December 11-16, 2023, Indian Institute of Information Technology, Sri City, Chittoor.
- Workshop on Curriculum Design based on OBE & NEP 2020 conducted on 18th and 19th November 2022 organized by IT, SOE, CUSAT under TEQIP
- Deputy to Assistant Controller of Examinations, Department of Computer Science, Rajagiri College of Social Sciences.
- Assistant AOL Coordinator, Department of Computer Science, Rajagiri College of Social Sciences.