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Deepa G

Assistant Professor, Department of Computer Science and I.T., School of Computing, Kochi

Qualification: MCA
deepa@kh.amrita.edu
Research Interest: Software Engineering, Machine Learning,Text Mining,LLM

Bio

Deepa G currently serves as Assistant Professor in computer science and IT, School of Computing, Amrita Vishwa Vidyapeetham-Kochi. Deepa has 22 years of teaching experience. She is pursuing her PhD in Computer Science under Amrita University. She holds MCA from Bharathiar University.

Publications

Conference Proceedings

Year : 2025

A Hyper-Optimized Weighted Ensemble Model for Pneumonia Detection Using ConvNeXt, Swin Transformer, and EfficientNetV2

Cite this Research Publication : Jerin K John, Abhiram Manoharan, Deepa G, A Hyper-Optimized Weighted Ensemble Model for Pneumonia Detection Using ConvNeXt, Swin Transformer, and EfficientNetV2, 2025 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), IEEE, 2025, https://doi.org/10.1109/access65134.2025.11135830

Publisher : IEEE

Year : 2025

Sentiment analysis in WhatsApp chats: A deep learning approach using Bi-LSTM-Attention mechanism and encoder-decoder models

Cite this Research Publication : Aleena Rajesh, Sruthi Pookaithayil Manoharan, Deepa Gopinathan, Sentiment analysis in WhatsApp chats: A deep learning approach using Bi-LSTM-Attention mechanism and encoder-decoder models, AIP Conference Proceedings, AIP Publishing, 2025, https://doi.org/10.1063/5.0247621

Publisher : AIP Publishing

Year : 2025

Synthesizing strengths: A comprehensive ensemble approach for fake instagram profile detection using ensemble model and stratified K-fold validation

Cite this Research Publication : Nilha Kalariparambil Subair, Nourin Nizar, Deepa Gopinathan, Synthesizing strengths: A comprehensive ensemble approach for fake instagram profile detection using ensemble model and stratified K-fold validation, AIP Conference Proceedings, AIP Publishing, 2025, https://doi.org/10.1063/5.0248446

Publisher : AIP Publishing

Year : 2023

Comparative Study on Sentiment Analysis in Image-Based Memes

Cite this Research Publication : G Niranjana, P Vyshnavi, K R Sreelakshmi, G Deepa, Comparative Study on Sentiment Analysis in Image-Based Memes, 2023 9th International Conference on Smart Computing and Communications (ICSCC), IEEE, 2023, https://doi.org/10.1109/icscc59169.2023.10334945

Publisher : IEEE

Year : 2023

YouTube Spam Comment Detection

Cite this Research Publication : Anu Antony, Anusha Rajendran, G. Deepa, YouTube Spam Comment Detection, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-99-1410-4_32

Publisher : Springer Nature Singapore

Year : 2021

Real-Time Emotion Recognition from Facial Expressions Using Convolutional Neural Network with Fer2013 Dataset

Cite this Research Publication : V. S. Amal, Sanjay Suresh, G. Deepa, Real-Time Emotion Recognition from Facial Expressions Using Convolutional Neural Network with Fer2013 Dataset, Smart Innovation, Systems and Technologies, Springer Singapore, 2021, https://doi.org/10.1007/978-981-16-3675-2_41

Publisher : Springer Singapore

Year : 2021

Software Effort Estimation Using Genetic Algorithms with the Variance-Accounted-For (VAF) and the Manhattan Distance

Cite this Research Publication : K. P. Mohamed Shabeer, S. I. Unni Krishnan, G. Deepa, Software Effort Estimation Using Genetic Algorithms with the Variance-Accounted-For (VAF) and the Manhattan Distance, Smart Innovation, Systems and Technologies, Springer Singapore, 2021, https://doi.org/10.1007/978-981-16-3675-2_32

Publisher : Springer Singapore

Conference Paper

Year : 2023

Sentiment Analysis of Covid Vaccine Tweet with Vader, and Implementation of Different Machine Learning Models

Cite this Research Publication : Sentiment Analysis of Covid Vaccine Tweet with Vader, and Implementation of Different Machine Learning Models.Stanley, M., Aiswarya, K.R., Deepa, G. 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, 2023

Year : 2021

Analysis of Ensemble Flood Forecasting Using Meta Classifiers and Tree Classifiers

Cite this Research Publication : Sharon, P., Sreelakshmi, C.V., Deepa, G. (2022). Analysis of Ensemble Flood Forecasting Using Meta Classifiers and Tree Classifiers. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_39

Journal Article

Year : 2020

Optimization of the bug report classification using genetic algorithm

Cite this Research Publication :

Year : 2020

A comparative study of stochastic gradient descent and naïve bayes multinomial for text classification on spam words

Cite this Research Publication : Ravindran, A.Narayanan, K.R.Deepa, G.A comparative study of stochastic gradient descent and naïve bayes multinomial for text classification on spam words,International Journal of Advanced Science and Technology Open source preview, 2020.

Year : 2019

Optimization of Bug Report Classification using Genetic Algorithm

Cite this Research Publication : Gayathri P M, Greeshma K Babu, and G. Deepa, “Optimization of Bug Report Classification using Genetic Algorithm”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 1, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2019

Image Forgery Detection using Hash Functions

Cite this Research Publication : Sruthi S Menon, Mary Saana N J, and G. Deepa, “Image Forgery Detection using Hash Functions”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 1, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2018

Collation Between Hierarchical and K- Means Clustering Algorithm

Cite this Research Publication : K. T. Athira, Gopika, P. G., and G. Deepa, “Collation Between Hierarchical and K- Means Clustering Algorithm”, Journal of Engineering and Applied Sciences, 2018.

Publisher : Journal of Engineering and Applied Sciences.

Year : 2018

Clustering Online News Comments Using Hadoop On Bigdata

Cite this Research Publication : A. Sunil Kumar, Anand, R., and G. Deepa, “Clustering Online News Comments Using Hadoop On Bigdata”, Journal of Engineering and Applied Sciences, 2018.

Publisher : Journal of Engineering and Applied Sciences.

Year : 2016

Enhancement of accuracy in K-means clustering

Cite this Research Publication : Unnikrishnan, S.Sreelakshmi, S.Deepa, G.Enhancement of accuracy in K-means clustering, International Journal of Control Theory and ApplicationsOpen source preview, 2016

Year : 2015

Improving software cost estimation using prototype selection

Cite this Research Publication : Babitha, V.K.Nair, G.P.Deepa, G.Improving software cost estimation using prototype selection,International Journal of Applied Engineering Research,Open source preview, 2015

Unknown

Year : 2017

An enhanced bug mining for identifying frequent bug pattern using word tokenizer and FP-growth

Cite this Research Publication : K. Divyavarma, Remya, M., and Deepa, G., “An enhanced bug mining for identifying frequent bug pattern using word tokenizer and FP-growth”, Advances in Intelligent Systems and Computing, vol. 515, pp. 525-532, 2017.

Publisher : Advances in Intelligent Systems and Computing

FDP/Workshops

Workshops/FDP/short Term Courses attended:

  1. Two-day hands-on Workshop on “NoSQL database MongoDB using Python” organized by Department of MCA, KVM College of Engineering and IT, Cherthala during 6th May and 7th May 2021 through online mode.
  2. Five days National Level Faculty Development Program on “DEMYSTIFYING THE MACHINE LEARNING CONCEPTS” organised by Brainium, the Technical Forum of the Department of Artificial Intelligence & Machine Learning, BMSIT&M, Bengaluru, Karnataka in association with Impavid Technologies, Bangalore from 17th to 21st May 2021 through online mode.
  3. Brainium Expert Talks on Building Affordable IOT/AI Products by Dr Shriram K Vasudevan, INTEL IOT innovator on June 19th 2021.
  4. Faculty Development Programme (FDP) “The Art of Doing Research” jointly organized by Jyothi Engineering College, Thrissur, India CHRIST (Deemed to be University), Bangalore, India and Pelita Bangsa University, Indonesia, from 12-22 July 2021.
  5. Day FDP on Statistics For Data Analytics (Series 1) during 03-07, August 2021organized by the Department of Computer Science, Rajagiri College of Social Sciences.
Courses Taught
  • Java Programming
  • Advanced Java and J2EE
  • Web Technologies
  • MEAN Stack
  • UI/UX
  • Soft Computing
  • Data Mining
  • Enterprise Resource Planning
  • Computer Organization and System Architecture
  • Client Server Architecture
  • Software Engineering
  • Design Patterns
  • C Programming
  • MIS
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