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Dr. Anubha Pearline S

Assistant Professor

Email ID :,

Ph D: Madras Institute of Technology campus, Anna University

Research Area: Computer Vision, Deep learning, Image Processing, Machine learning, Data Analytics

Employee ID53060
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
Ph.D2021Information and Communication Engineering (Computer Vision)Madras Institute of Technology,  Anna University
M.Tech2016Information TechnologyMadras Institute of Technology,  Anna University
B.E.2014Computer Science and EngineeringTagore Engineering College, Anna University
Research Details
Areas of SpecializationComputer Vision, Image Processing, Deep learning, Neural Networks, Data Analytics, Machine learning
ORCID ID this author’s ORCID profile
Scopus ID57211376833
H-index (scopus)4
Google Scholar ID
i10 index2
Book / Book Chapter Published Details
1.      Sathiesh Kumar. V and Anubha Pearline. S, “Real-Time Plant Species Recognition Using Non-averaged DenseNet-169 Deep Learning Paradigm”Communications in Computer and Information Science Book Series, Part II (pp. 58-72). Cham: Springer Nature Switzerland.2023
2.                   Anubha Pearline S, Sathiesh Kumar V, “High performance ensembled Convolutional Neural Network for Plant Species Recognition”Communications in Computer and Information Science Book Series, Vol. 1378, Springer, pp. 526-538,2021
3.                  Vaitheeshwari R, Sathiesh Kumar V and Anubha Pearline S, “Design and Implementation of Human Safeguard Measure using Separable Convolutional Neural Network Approach” Communications in Computer and Information Science Book Series, vol. 1148, Springer, pp. 319 – 3302020
Awards & Recognition Details (only national and international awards and recognitions)
Name of the award, awarding agency, year of award
Passed UGC NET for Assistant Professor, 2023
School First in 10th CBSE Board Examinations, 2008

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