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Dr. Remya S.

Assistant Professor, School of Computing, Amritapuri

Qualification: B. Tech., M.Tech., Ph.D
remyas@am.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Artificial Intelligence, Deep Learning

Bio Publications Qualification PhD Students Current Projects Courses Taught
Bio

Dr. Remya S., received the Ph. D. degree in computer science and engineering from Vellore Institute of Technology, Vellore campus, in 2021. Her PhD Thesis entitled “Performance Evaluation of Optimized and adaptive Neuro Fuzzy Inference system for Predictive Modeling in Agriculture” is a funded project collaborated with Central Coir Research Institute (CCRI), Alappuzha. She is currently working as Assistant Professor with the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India. She has more than 15 years of teaching experience in various Engineering Colleges. Her research interests include deep learning, data science, computer vision and smart environments.

Publications

Conference Paper

Year : 2023

A One-Stop Service Provider for Farmers Using Machine Learning

Cite this Research Publication : Vidya Sree K, Sandeep Kumar Reddy G, Dileep Varma R, Mihira P, Remya S., "A One-Stop Service Provider for Farmers Using Machine Learning," In Sentiment Analysis and Deep Learning, 2023 (pp. 805-823), Springer, Singapore.

Publisher : Springer

Year : 2022

Detecting Autism Spectrum Disorder Using DenseNet

Cite this Research Publication : Karri VS, Remya S, Vybhav AR, Ganesh GS, Eswar J., "Detecting Autism Spectrum Disorder Using DenseNet," InICT Infrastructure and Computing, 2023 (pp. 461-467). Springer, Singapore.

Publisher : SpringerLink

Year : 2019

Crowdsourced Predictive Analysis for the International Trade of South Indian Coir Products in Ayurveda, Textile and Agriculture

Cite this Research Publication : Sasikala R, Remya S., "Crowdsourced Predictive Analysis Framework for the International Trade of South Indian Coir Products in Ayurveda, Textile and Agriculture," Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, Elsevier, 2019.

Publisher : Elsevier

Journal Article

Year : 2022

An adaptive neuro-fuzzy inference system to monitor and manage the soil quality to improve sustainable farming in agriculture

Cite this Research Publication : Remya S. An adaptive neuro-fuzzy inference system to monitor and manage the soil quality to improve sustainable farming in agriculture. Soft Computing. 2022 Feb 12:1-4.

Publisher : Springer, Journal of Soft Computing, A Fusion of Foundations, Methodologies and Applications

Year : 2021

Dog breed Classification using CNN

Cite this Research Publication : Varghese S, Remya S. Dog Breed Classification Using CNN. Security Issues and Privacy Concerns in Industry 4.0 Applications. 2021 Jun 15:195-205.

Publisher : Wiley Publication

Year : 2021

Investigation and analysis on crowdsourcing for improving enterprise QoS

Cite this Research Publication : Remya S, Sasikala R. Investigation and analysis on crowdsourcing for improving enterprise QoS. International Journal of Information Technology and Management. 2021;20(1-2):21-48.

Publisher : Inderscience

Year : 2020

Performance evaluation of optimized and adaptive neuro fuzzy inference system for predictive modeling in agriculture

Cite this Research Publication : Remya S, Sasikala R. Performance evaluation of optimized and adaptive neuro fuzzy inference system for predictive modeling in agriculture. Computers & Electrical Engineering. 2020 Sep 1;86:106718 .

Publisher : Elsevier

Year : 2019

Classification of rubberized coir fibres using deep learning-based neural fuzzy decision tree approach

Cite this Research Publication : Remya S, Sasikala R., "Classification of rubberized coir fibres using deep learning-based neural fuzzy decision tree approach," Soft Computing, 2019, Sep;23(18): 8471-85.

Publisher : Springer

Qualification
  • Doctorate from Vellore Institute of Technology during (2017-2021)
    Thesis Title: Performance Evaluation of Optimized and Adaptive Neuro Fuzzy Inference System for Predictive Modeling in Agriculture
    Project Category: Applied Research (Funded Project collaborated with Central Coir Research Institute (CCRI), Alappuzha) (Coir Board, Govt. of India), Kalavoor PO, Alappuzha Dist., Kerala-688522
  • M. Tech. from Calicut University, during 2010-2012 in Computer Science and Engineering (Area of Specialization: Image Processing)
  • B. Tech. from Cochin University of Science and Technology during 2002-2006 in Information Technology
PhD Students
  1. Ms. Devi Rajeev
    Topic: Automating Liver Transplant Outcomes Using Artificial Intelligence
  2. Ms. Roshini R.
    Topic: Automatic detection and classification of viral pathogens in plants using Deep learning and biosensors
  3. Ms. Sethulekshmi U. S.
    Topic: Not finalized
Current Projects
  • Automating Liver Transplant Outcomes Using Artificial Intelligence
  • Automatic and Reliable Plant Virus detection from Microscopy-based Sequential Images Using Deep Learning and Sensors
Courses Taught
  • Machine Learning (2021 July – 2021 December, Batch S5 CSE A and D)
  • Computer Security (2022 January – 2022 May, Batch S6 CSE C and D)
  • Bigdata and Database Management (2022 August – 2022 December, S6 AIE A and B)
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