Dr. S. ANUBHA PEARLINE

Assistant Professor, Sr. G

Education

  • Ph.D in CSE, Anna University
  • M.Tech, Anna University
  • B.E., Anna University

Other Details

Courses

Mobile Application Development

Information Storage and Management

Research Interests

Plant Species Recognition

Image Processing Applications

Machine Learning and Deep Learning

Data Science

Selected Publications

  •  Anubha Pearline S and Sathiesh Kumar V, “DDLA: Dual deep learning architecture for Classification of PlantSpecies”, IET Image Processing, vol. no. 13, Issue no. 12, pp. 2176 to 2182, 2019. (Impact Factor: 1.995, SCI,Scopus).
  • Anubha Pearline S, Sathiesh Kumar V and Harini S, “A study on plant recognition using conventional imageprocessing and deep learning approaches”, Journal of Intelligent and Fuzzy Systems, Vol. 36, No. 3, pp. 1997 -2004, 2019. (Impact Factor: 1.815, Scopus).
  • Anubha Pearline. S, Hemalatha. M, “Face Recognition Under Varying Blur in an Unconstrained Environment”,IJRET: International Journal of Research in Engineering and Technology, eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 05 Issue: 04 | Apr-2016.

Working Papers

1. Anubha Pearline. S and Sathiesh Kumar V, “Non-Averaged Deep Dense Network for Plant Species
Recognition”, Under Review at Journal of Signal, Image and Video Processing (Impact Factor: 1.794,
Springer).
2. Anubha Pearline. S and Sathiesh Kumar V, “Parametric Rectified Linear Unit based Neural Network for Plant Species Recognition”, Submitted to Journal of Visual Communication and Image Representation (Impact Factor: 2.479, Elsevier).
3. Anubha Pearline. S and Sathiesh Kumar V, “Performance analysis of real-time plant species recognition using bilateral network combined with machine learning classifier”, Under Review at Ecological Informatics (Impact Factor: 3.142, Elsevier).

Workshops /Seminars/Conferences

1. Completed an online course, “Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning”
2. Completed an online course, “Convolutional Neural Networks”
3. A 3-Day Workshop on Deep Learning organized by Computational Intelligence Research Group, School of Computing Science & Engineering, VIT Chennai between 1st and 3rd February, 2018.
4. ‘Two Day Hands-on Workshop on Deep Learning for Computer Vision’ on September 2 and 3, 2017 at LIMCOS, Loyola College, Chennai.
5. ‘Springer Nature Author Workshop’ for Research Publication at CEG Campus, Anna University, Chennai.

6. ‘Big Data Analytics Workshop’ at CEG Campus, Anna University on 22nd and 23rd April, 2017.
7. ‘NWCVIPT, 2017’ (National Workshop on Computer Vision and Image Processing Techniques) at Amrita University, Coimbatore on 29th, 30th of March and 1st April, 2017.
8. Pre-Conference Tutorials in ICSCN 2017 (Conference- 4th International Conference on Signal Processing, Communications and Networking) at MIT Campus, Anna University.
9. ‘Image Processing Computer Vision and Machine Learning (IPCVML) Workshop’ (using OpenCV) on 27th and 28th January, 2017 at MIT Campus, Anna University, Chennai.

FDP
1. ATAL sponsored FDP on ‘Mobile Robotics’ conducted by IIT Patna via online mode between 16-20 June, 2021.
2. ‘International Research Workshop on Advances in Deep Learning and Applications’ at IIIT, Sri City,
Chitoor via online mode between 22-26 February, 2021.
3. Six days online FDP on ‘Latest Trends and Challenges in IT Industry’ from 15-6-2020 to 20-6-2020.
4. Two-Week Online Faculty Development Program on “Data Science using Python” from 15-05-2020 to 24-05-2020.
5. “AICTE sponsored Two weeks Faculty Development Programme on Deep Learning for Image and Text Analysis: Principles, Techniques and Challenges” held during November 13-26, 2017.