Dr. Deepa V
Associate Professor
Department of Artificial Intelligence & Data Science
Mobile Number: 9061718885
Email: deepa@sjcetpalai.ac.in
| Sl.No | Qualification | University | Institution | Year of passing | Specialization |
|---|---|---|---|---|---|
| 1 | B.Tech | Periyar | Sapthagiri College of Engineering | 2004 | Electronics and Instrumentation |
| 2 | M.Tech | NIT | NIT, Calicut | 2009 | Instrumentation and Control Systems |
| 3 | Ph.D | KTU | Rajiv Gandhi Institute of Technology, Kottayam | 2022 | Bio-Medical Image Processing using Machine Learning and Deep Learning Techniques. |
Industrial Experience: 2.5 years
Teaching Experience: 18 years
| Sl. No | Name of Institution | Type of Membership |
|---|---|---|
| 1 | ISTE | Life member |
- One week FDP and Workshop on Nextgen Computing Paradigms for Big Data Applications organized by Indian Institute of Information Technology (IIIT) Kottayam. One week, 5/6/2023 to 9/6/2023
- One week FDP on Statistical and Machine Learning Techniques with Applications organized by Indian Institute of Information Technology (IIIT) Kalyani. One week, 2/1/23 to 6/1/23.
- Five day Workshop on Demystifying Machine Learning Algorithms organized by of AI and DS, Muthoot Institute of Technology and Science, Ernakulam. 10/10/22 to 14/10/23.
- Five day Workshop Sponsored by KTU on Practical Data Science, Dept. of Computer Science Engineering, SJCET, Kottayam. 19/7/23 to 23/7/23.
- One Week STTP on Advanced Techniques of Material Characterization for Research, Centre for Continuing Education,NIT, Jalandhar. 25/10/21 to 29/10/23.
- Five day Workshop on Python for Artificial Intelligence and Machine Learning, Dept. of Computer Applications, TKM College of Engineering Kollam. 5/6/2020 to 9/6/2020.
- Deepa, C. S. Kumar, T. Cheriyan, “Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches”, J. King Saud Univ., Comp. Info. Sci., May 2021. doi.org/10.1016/ j. jksuci.2021.05.009. (Elsevier publications- SCIE, IF: 13.473)
- Deepa, C. S. Kumar, S. Susan Andrews, “Fusing dual-tree quaternion wavelet transform and local mesh-based features for grading of diabetic retinopathy using extreme learning machine classifier”, Int. J. Imaging Syst. Technol., April. 2021. doi: DOI:10.1002/ima.22573. (Wiley Online Library- SCIE, IF:2.0)
- Deepa V, Sathish Kumar C, Cherian T. Automated grading of diabetic retinopathy using CNN with hierarchical clustering of image patches by siamese network. Phys Eng Sci Med. 2022 Jun;45(2):623-635. doi: 10.1007/s13246-022-01129-z. Epub 2022 May 19. PMID: 35587313.
- Deepa, C. S. Kumar and T. Cherian, “Pre-Trained Convolutional Neural Network for Automated Grading of Diabetic Retinopathy,” 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichy, India, 2022, pp. 1-5, doi: 10.1109/ICEEICT53079.2022.9768480.
- Deepa, C. S. Kumar, S. Susan Andrews, Automated detection of microaneurysms using Stockwell transform and statistical features”, IET Image Process, vol. 13(8), pp. 1341-1348, Apr. 2019. doi: 10.1049/iet-ipr.2018.5672. IET Digital Library- SCI, IF: 1.9
- Deepa, C. S. Kumar, S. Susan Andrews, {\lq\lq}Automated grading of diabetic retinopathy using local-spatial descriptors”, in Proc. IEEE Int. Conf. on Computing, Power and Communication Technologies (GUCON, 2020)}, New Delhi, Oct. 2020, pp. 660-664.
- Deepa, C. S. Kumar, T. Cheriyan, Automated detection of diabetic retinopathy images using pre-trained convolutional neural network,” in Proc. Int. Conf. on Communication, Control and Information Sciences (ICCISc, 2021)}, IEEE, Idukki, Jun. 2021,vol. 1, pp. 550-555.
- Deepa V successfully completed NPTEL online certification on Introduction to Machine Learning.
- Deepa V successfully completed NPTEL online certification on Deep Learning.
