Parvathy Jyothi
Assistant ProfessorTrying to bring out the best in me and my students.
| Sl.No | Degree | University | Year of Passing |
| 1 | Ph.D | School of Computing, Kalasalingam Academy of Research and Education | Pursuing |
| 2 | M. Tech | University of Kerala | 2009 |
| 3 | B. Tech | Mahatma Gandhi University | 2006 |
Total Experience: 14 Years 8 months
| Sl No | From | To | Name of Institution | Designation |
| 1 | 01.02.2021 | Till date | Jyothi Engineering College, Cheruthuruthy, Thrissur | Assistant Professor |
| 2 | 03.03.2020 | 31.10.2020 | Amvions Lab Pvt Limited, Ernakulam | Jr. Data Engineer |
| 3 | 02.09.2006 | 30.08.2019 | SNG College of Engineering, Kadayiruppu, Ernakulam | Assistant Professor |
Areas of Specialization
Image Processing
Computer Vision
Areas of Interest
Machine Learning
Deep Learning
Medical Image Analysis
| Sno. | Achievement | Year |
|---|---|---|
| 1 | Completed Certification on "R Programming" offered by Coursera |
2019 |
| 2 | Completed NPTEL Certification on "Deep Learning" |
2021 |
| 3 | Completed Certification in "Machine Learning, Data Science and Deep Learning with Python" offered by Udemy |
2022 |
| 4 | Got best paper award for the work titled “Multi-classclassification of tumors in brain MR images using shallow autoencoder network” for the conference “International Conference on Mobile Networks and Wireless Communication-ICMNWC 22” on |
2022 |
Parvathy Jyothi, S Dhanasekaran and Robert A Singh. Multiclass Classification of Brain Tumor for MR Images Using Shallow Autoencoder Based Neural Network. 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) 2-3 Dec. 2022 DOI: 10.1109/ICMNWC56175.2022.10031727 (Scopus)
Parvathy Jyothi and Robert A Singh. Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review Artif Intell Rev (2022). https://doi.org/10.1007/s10462-022-10245 (SCIE)
Parvathy Jyothi and Robert A Singh. A Comparison Study of Various Machine Learning Models for Classifying Tumors in Brain MRI. International Journal of Computer Applications 183(47):28-32, January 2022.
Parvathy Jyothi and Robert A Singh. Classification of tumors from brain MR slices using PCA for discriminative models, International Journal of Engineering Research & Technology, Vol. 10 Issue 12, December 2021, pp 59-63.
Participated in KTU sponsored Five day FDP titled "Medical Image Analysis using Deep Learning Techniques" at Sahrdaya College of Engineering and Technology (January 2023)
Participated in KTU sponsored Five day FDP on "Machine Learning: A trajectory through the World of Adaptive Algorithms" at JECC (August 2022)
Participated in AICTE sponsored STTP on "High performance computing and Deep Learning in Image and Text Analysis" at MBCET (March 2022)
Participated in FDP on "Artificial Intelligence and Data Science" organized by SNGCE (March 2022)
Participated in AICTE Training And Learning (ATAL) Academy online FDP on “Mathematical Foundation for Machine Learning” (November 2021)
Participated in Faculty Development Programme on “Artificial Intelligence and Deep Learning” at Kalasalingam Academy of Research and Education ( January 2021)
Participated in Faculty Development Programme on “Computer Vision” organized by School of Computing, Department of CSE at Kalasalingam Academy of Research and Education ( October 2020)
Participated in Awareness Workshop on “Improving Research and Performance Outcomes” at Elsevier’s Zoom Webinar ( August 2021)
| Sno. | Projects Guided | Year |
|---|---|---|
| 1 | “RON - Your Personal Assistant”: This project aims to build a system capable enough to approach a person based on how they feel and interact with the person.The real time emotions of the user can be extracted and basedon the emotions the system can make appropriate response to the user. |
2022 |
