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Geetha S

Assistant Professor 

ACADEMIC QUALIFICATIONS:  

PhD Thesis submitted at APJ Abdul Kalam Technological University
M.Tech in Computer Science and Engineering from Kerala University in 2015
B.Tech in Computer Science and Engineering from CUSAT in 2003.

Work Experience

Teaching

  • Assistant Professor in Computer Engineering, College of Engineering, Kallooppara- 3months
  • Assistant Professor in Computer Engineering, College of Engineering, Karunagappally- 14 years
  • Assistant Professor in Computer Engineering, College of Engineering, Chengannur- 4 years.

Publications

Journals

1. Flexible Colon Polyp Detection: A Dual Mode Approach for Detection and Segmentation of Colon Polyps with Optional Inpainting for Specular Highlight Mitigation G Sushama, G C Menon, SN Computer Science, Volume 5, Issue 5, Springer  https://doi.org/10.1007/s42979-024-02932-z

2. Attention augmented residual autoencoder for efficient polyp segmentation G Sushama, G C Menon, International Journal of Imaging Systems and Technology 33 (2), 701-713, Wiley, https://doi.org/10.1002/ima.22814
3. A Review on Polyp Detection and Segmentation in Colonoscopy Images using Deep
Learning, S Krishnendu, S Geetha, G Gopakumar  International Journal of Engineering Research & Technology (IJERT) 9 (10, (October 2020) )

International Conferences

1. Lite-Deep: Improved Auto Encoder-Decoder for Polyp Segmentation. Geetha S.; Gopakumar C.; Shahid Haseem C.et al., IEEE, 2021 8th International Conference onSmart Computing and Communications (ICSCC)
2. Detection and Instance Segmentation of Colon Polyps in Colonoscopy Images S.Krishnendu, S Geetha, G Gopakumar, ACN International Conference.
3. Detecting COVID-19 from Chest X-Ray Images using Deep Learning M Anakha ,B, S Greshma, S Geetha, IEEE, 2021 5th International Conference on Information Systems and Computer Networks (ISCON)
4. Exploring fusion model for the detection and localization of colorectal polyps S Geetha, C Gopakumar, 2022 IEEE International Power and Renewable Energy Conference (IPRECON).
5. Hierarchical vision transformer model for polyp segmentation  S Geetha, C Gopakumar, V Vinod, IEEE, 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS).

National Conferences

  • Geetha.S, Sabeena.K”, Automated Classification of M-FISH chromosome images using ANN, National Conference on Technological Trends 2016, College of Engineering Trivandrum 2016

Positions handled

Staff Advisor
Hostel Warden
Exam Cell member
Time Table Committee member
Syllabus formulation committee member
Lab in Charge

Courses Handled

System Programming
Computer Architecture and Organization
Software Engineering
Soft Computing
Machine Learning