Admission Assistant


Hey, I am MITS Admission Assistant Chatbot, May I help you?


A premier engineering college in the state, located at Kochi


Affiliated to APJ Abdul Kalam Technological University
Approved by AICTE

[email protected] | 0484-2883300/0484-2732100/111

Relentless passion for excellence...

(Promoted by The Muthoot Group)

NameMs.Lekshmi R
DesignationAssistant Professor
SpecializationComputer Science and Engineering
E-Mail ID [email protected]
Lekshmi R

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


  • 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)., 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.


  • 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

Our major recruiters