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Dr. Gopakumar G.

Asst. Professor, School of Computing, Amritapuri

Qualification: B-Tech, M.Tech, Ph.D
gopakumarg@am.amrita.edu
ORCID Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Computer Vision, Image Analysis, Machine Learning

Bio

Dr. Gopakumar G. currently serves as Assistant Professor (Sl. Gr.) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri. He is a post-graduate (M.Tech.) in Digital Image Computing from the Department of Computer Science, University of Kerala (Karyavattom Campus) and a graduate in Computer Science and Engineering from the College of Engineering, Karunagappally. Dr. Gopakumar pursued his Ph. D. from the Indian Institute of Space Science and Technology in Computer Vision (Medical Image Analysis) under the guidance of Dr. Gorthi R. K. Sai Subrahmanyam. His research thesis is entitled ‘Automatic Feature Extraction and Classification of Cell images for Cytopathology’. He has 5 years of academic experience.

His research interests include Computer Vision, Image Analysis and Machine Learning.

 

Publications

Journal Article

Year : 2020

Speech Emotion Recognition Using Machine Learning Techniques

Cite this Research Publication : Sasidharan Rajeswari, S., Gopakumar, G., Nair, M. (2021). Speech Emotion Recognition Using Machine Learning Techniques. In: Sharma, H., Saraswat, M., Yadav, A., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. CIS 2020. Advances in Intelligent Systems and Computing, vol 1335, pp 169–178, 2020. Springer, Singapore. https://doi.org/10.1007/978-981-33-6984-9_15

Publisher : Springer

Year : 2017

Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening

Cite this Research Publication : V. Kalyan Jagannadh, Gopakumar G, Subrahmanyam, G. R. K. Sai, and Gorthi, S. Siva, “Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening”, Medical {&} Biological Engineering {&} Computing, vol. 55, pp. 711–718, 2017

Publisher : Medical {&} Biological Engineering {&} Computing,

Year : 2017

Cytopathological image analysis using deep-learning networks in microfluidic microscopy

Cite this Research Publication : Gopakumar G, K, H. Babu, D, M., SS, G., and GR, S. Subrahmany, “Cytopathological image analysis using deep-learning networks in microfluidic microscopy”, Journal of the Optical Society of America A, vol. 34, no. 1, pp. 111-121, 2017

Publisher : Journal of the Optical Society of America A

Year : 2017

Convolutional Neural Network-based malaria Diagnosis from Focus Stack of Blood Smear Images Acquired Using Custom-built Slide Scanner

Cite this Research Publication :
Gopakumar G, Swetha, M., Siva, G. Sai, and Subrahmanyam, G. R. K. Sai, “Convolutional Neural Network-based malaria Diagnosis from Focus Stack of Blood Smear Images Acquired Using Custom-built Slide Scanner”, Journal of Biophotonics, p. e201700003–n/a, 2017

Publisher : Journal of Biophotonics

Year : 2015

Framework for morphometric classification of cells in imaging flow cytometry

Cite this Research Publication :
Gopakumar G, VK, J., SS, G., and GR, S., “Framework for morphometric classification of cells in imaging flow cytometry”, 2015

Publisher : (2015)

Conference Paper

Year : 2021

Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine

Publisher : Lecture Notes in Electrical Engineeringthis link is disabled, 2021, 736 LNEE, pp. 435–448

Year : 2021

Enhancement of VerticalThings DSL with Learnable Features

Publisher : Lecture Notes in Electrical Engineeringthis link is disabled, 2021, 735 LNEE, pp. 347–359

Year : 2021

Haze Removal Using Generative Adversarial Network

Publisher : Lecture Notes in Electrical Engineeringthis link is disabled, 2021, 736 LNEE, pp. 207–217

Year : 2021

Predicting Covid-19 Positive Cases and Analysis on the Relevance of Features using SHAP (SHapley Additive exPlanation)

Publisher : Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems

Year : 2021

Dynamic Search Paths for Visual Object Tracking

Publisher : Lecture Notes in Electrical Engineeringthis link is disabled, 2021, 736 LNEE, pp. 379–388

Year : 2021

Performance Analysis of Deep Learning Architectures for Super Resolution

Publisher : Journal of Physics: Conference Seriesthis link is disabled, 2021, 1917(1), 012002

Year : 2020

Semantic Segmentation of Spectral Images: A Comparative Study using FCN8s and U-NET on RIT-18 Dataset

Publisher : 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, 2020, 9225461

Year : 2020

An Improved Intrusion Detection System Based on KDD Dataset Using Feature Ranking and Data Sampling

Publisher : Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020, 2020, pp. 1128–1132, 9182060

Year : 2020

Glaucoma Detection from Retinal Fundus Images

Publisher : Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020, 2020, pp. 628–631, 9182388

Year : 2020

Recursive Block Based Keypoint Matching for Copy Move Image Forgery Detection

Publisher : 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020, 2020, 9225658

Year : 2019

An improved random forest algorithm for classification in an imbalanced dataset

Publisher : URSI Asia-Pacific Radio Science Conference, AP-RASC 2019

Year : 2018

Identification of Long Non-coding RNA from inherent features using Machine Learning Techniques

Cite this Research Publication : C. M. Sreeshma, Manu Madhavan, and Gopakumar G., “Identification of Long Non-coding RNA from inherent features using Machine Learning Techniques”, 2018 International Conference on Bioinformatics and Systems Biology (BSB)2018 International Conference on Bioinformatics and Systems Biology (BSB). 2018.

Publisher : 2018 International Conference on Bioinformatics and Systems Biology (BSB)

Conference Proceedings

Year : 2017

MoS2 Layered Semiconductor: An Efficient Electron Transport Bridge in Mesoscopic Electron Acceptor for Dye Sensitized Solar Cell Applications

Cite this Research Publication : G. Gopakumar, Menon, H., Nair, S. V., and Dr. Mariyappan Shanmugam, “MoS2 Layered Semiconductor: An Efficient Electron Transport Bridge in Mesoscopic Electron Acceptor for Dye Sensitized Solar Cell Applications”, Nano India. IIT Delhi, India., 2017.

Publisher : Nano India

Year : 2017

Improved Transfer Learning through Shallow Network Embedding for Classification of Leukemia Cells

Cite this Research Publication : K. S. Kalmady, Kamath, A. S., Gopakumar G, Subrahmanyam, G. R. K. S., and Gorthi, S. S., “Improved Transfer Learning through Shallow Network Embedding for Classification of Leukemia Cells”, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR). IEEE, Bangalore, India, pp. 1-6, 2017

Publisher : 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR), IEEE

Year : 2016

Automatic Detection of Malaria Infected RBCs from a Focus Stack of Bright Field Microscope Slide Images

Cite this Research Publication : Gopakumar G, Swetha, M., Siva, G. Sai, and Subrahmanyam, G. R. K. S., “Automatic Detection of Malaria Infected RBCs from a Focus Stack of Bright Field Microscope Slide Images”, Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, New York, NY, USA, 2016

Publisher : Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing

Year : 2014

Morphology based Classification of Leukemia Cell lines: K562 and MOLT in a Microfluidics based Imaging Flow Cytometer

Cite this Research Publication :
Gopakumar G, Subrahmanyam, G. R. K. Sai, and Siva, G. Sai, “Morphology based Classification of Leukemia Cell lines: K562 and MOLT in a Microfluidics based Imaging Flow Cytometer”, ICVGIP ’14. ACM, Bangalore, 2014

Publisher : ICVGIP ’14

Book Chapter

Year : 2021

Collision detection for USVs: An analysis on CV algorithms

Cite this Research Publication : Siddharth Kumar, Ram Manoj Potla, Gayathri Ravipati, G. Gopakumar, "Collision Detection for USVs: An Analysis on CV Algorithms", in Smart Computing, 1st Edition, 2021, CRC Press, Pages 12, ISBN 9781003167488

Publisher : CRC Press

Year : 2021

Generating Audio from Lip Movements Visual Input: A Survey

Publisher : Springer, Singapore

Year : 2019

Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines

Cite this Research Publication : Gopakumar G and Subrahmanyam, G. R. K. Sai, “Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines”, in Handbook of Deep Learning Applications, V. Emilia Balas, Roy, S. Sekhar, Sharma, D., and Samui, P., Eds. Cham: Springer International Publishing, 2019, pp. 219–257.

Publisher : Handbook of Deep Learning Applications, Springer International Publishing

Education
DEGREE/PROGRAM INSTITUTION
PhD Indian Institute of Space Science & Technology
M.Tech. Digital Image Computing University of Kerala(Karyavattom Campus)
B.Tech. CSE CE Karunagappally
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