Ms. Sreevidya P has done her B.Tech from NSS College of Engineering, Palakkad and M.E in Control Systems from PSG College of Technology, Coimbatore. She has 3.8 years of industrial experience and 11.2 years of teaching experience. Her areas of interests are image processing and control algorithms.
- Direction sensitive Wavelet Packet Transform for Despeckling of Ultrasound Images(SCI) in IET Journal of Computer Vision https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cvi.2015.0431
- ‘DTCWT with Fuzzy based thresholding for Despeckling of Ultrasound Images’ in IEEE sponsored International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) https://drive.google.com/file/d/1PxC4vcoa3tRckJ4Smp7ZgqcLIx3xIFXs/view?usp=sharing
- ‘Air-conditioning using Magnetocalorific Effect’ in International Conference (IEEE)on Technological Advancements in power & Energy (TAP) 2017. https://drive.google.com/file/d/1UAoDd4B3E5LHfu7A4A7Slbv22Vpl0hpq/view?usp=sharing
- An Optimized approach for SVM based Brain Tumor segmentation of MRI images in Journal of AdvResearch in Dynamical & Control Systems. https://www.researchgate.net/publication/320627704_An_Optimized_approach_for_SVM_based_Brain_Tumor_segmentation_of_MRI_images
- ‘Despeckling of ultrasound images using directionally decimated wavelet packets musing Adaptive clustering’ in IET Journal for Image processing. https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2018.5011
- ‘Comparison of Z-N and PSO based tuning methods in the control strategy for Prosthetic Limb Application’ in Journal of Theoretical and Applied Mechanics,Vol-58,No-4, pp. 841-851,Warsaw2020DOI:10.15632/jtampl/125505 https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2018.5011
- Performance Analysis of NASNet on unconstrained Ear Recognition, Book Chapter in Studies in Nature Inspired computing for data science (springer Link)https://doi.org/10.1007/978-3-030-33820-6_3, Jan 2020
- Compressive Sensing-Aided Collision Avoidance System: The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems, Elsevier Book,, Book Chapter
- Sentiment analysis by deep learning approaches.
- Lidar Based Lane-Change Assistance For Motor Vehicle https://ieeexplore.ieee.org/document/9441884
- Leaf Recognition and Disease Detection using Content based Image Retrieval https://ieeexplore.ieee.org/document/9441805
- A machlne learning based early landslide warning system using IoT.
- Elder emotion classification through multi-modal fusion of intermediate layers and cross-modal transfer learning
- ‘Performance Analysis of NASNet on Unconstrained Ear Recognition’ in the book ‘Studies in Nature Inspired computational intelligence’. https://link.springer.com/chapter/10.1007/978-3-030-33820-6_3
- ‘Compressive Sensing Aided Collision Avoidance System’ in the book ‘The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems’ chapter-9. https://drive.google.com/file/d/1zH-8hkI4o8QOXL46kIlsGGb7oTG2xowO/view?usp=sharing
- MOOC Course in Deep Learning by Andrew NG,Stanford University in 2018.
- Mentor, NPTEL Course in Control Systems, Industrial Control Systems and JOY of Computing with Python in 2018
- Online course in “Control of Mobile Robots from Georgia University” with grade 82.9% in 2013
- Online course in “Image and Video Processing: from Mars to Hollywood with a stop at hospital” from Duke University with grade 85.9% in 2014
- Online Course in “Digital Signal Processing” École Polytechnique Fédérale de Lausanne, Switzerland in 2015
- Participated in Texas Instrumentation Innovation Challenge- India Analog design Contest-2014 in 2015
- Appointed as Chairman, Board of Question paper Setters (Calicut university, BSc Instrumentation) in 2019.
Pursuing the Phd in ‘Multi modal approaches in personality computations‘ in Amrita Vishwa Vidyapeetham, Coimbatore.