Educational Qualification:
- B. Tech – LBS Institute of Technology, Thiruvananthapuram, Kerala University
- M. Tech – RV College of Engineering, VTU
- GATE(2010)
- Currently pursuing PhD in CUSAT
Specializations:
- Artificial Intelligence- Transfer Learning
Current Research Interest:
- Generative AI, Diffusion Networks, AI Ethics
Publications :
- Lekshmi R., Babita Roslind Jose, Jimson Mathew and Rakesh Kumar Sanodiya; “MNEMONIC: Multikernel contrastive domain adaptation for time-series classification”, accepted in Engineering Applications of Artificial Intelligence, Elsevier, Volume 133, Part C, July 2024, 108255, Impact factor 8 (SCIE)
- Lekshmi R, Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew ; “Kernelized global-local discriminant information preservation for unsupervised domain adaptation”, Applied Intelligence- The International Journal of Research on Intelligent Systems for Real Life Complex problems- Springer, Applied Intelligence 53, 25412–25434 (2023). https://doi.org/10.1007/s10489-023-04706-1, Impact Factor: 5.019 (SCIE)
- Lekshmi R., Rakesh Kumar Sanodiya, Babita Roslind Jose, and Jimson Mathew. “Joint Cross-Domain Preserving and Distribution Adaptation for Heterogeneous Domain Adaptation.” In 2022 IEEE 19th India Council International Conference (INDICON), pp. 1-6. IEEE, 2022.
- Lekshmi R., Rakesh Kumar Sanodiya, R. J. Linda, Babita Roslind Jose, and Jimson Mathew. “Kernelized transfer feature learning on manifolds.” In Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part II 28, pp. 297-308. Springer International Publishing, 2021.
Certifications:
- BigData and Hadoop
- Apache Spark and SCALA
- Image Processing
- Nptel- Data Analytics with Python
- Nptel- Deep Learning
Professional Experience:
- Teaching- 4 years
- Industry -2.5 years
- Research- 3.5 years
