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Dr. Gopakumar G.

Assistant Professor (SG)

Dr. Gopakumar G. currently serves as Assistant Professor (Sl. Gr.) at the department of Computer Science and Engineering, Amrita School of Engineering, Amritapuri campus.

Qualification: B-Tech, M.Tech, Ph.D
gopakumarg@am.amrita.edu
Research Interest: Computer Vision, Image Analysis, Machine Learning

Bio

Dr. Gopakumar G. currently serves as Assistant Professor (Sl. Gr.) at the department of Computer Science and Engineering, Amrita School of Engineering, Amritapuri campus. 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 College of Engineering Karunagappally. Dr. Gopakumar pursued his Ph. D. from 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 : 2017

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

Authors : Dr. Gopakumar G., V. Kalyan Jagannadh, Subrahmanyam, G. R. K. Sai, and Gorthi, S. Siva

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

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

Year : 2017

Cytopathological image analysis using deep-learning networks in microfluidic microscopy

Authors : Dr. Gopakumar G., K, H. Babu, D, M., SS, G., and GR, S. Subrahmany

Publisher : Journal of the Optical Society of America A

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

Year : 2017

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

Authors : Dr. Gopakumar G., Swetha, Murali; Sai Siva, Gorthi; Sai Subrahmanyam, Gorthi R. K

Publisher : Journal of Biophotonics


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

Year : 2015

Framework for morphometric classification of cells in imaging flow cytometry

Authors : Dr. Gopakumar G., Jagannadh VK; Gorthi SS; Subrahmanyam GR

Publisher : (2015)


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

Conference Paper

Year : 2021

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

Authors : Dr. Gopakumar G., Priya, R., Sreelekshmi, V., Nair, J.J

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

Year : 2021

Enhancement of VerticalThings DSL with Learnable Features

Authors : Dr. Gopakumar G., Ghanta, S., Surya Chaitanya, P.V., Ganti, S.S.C., Roshan Patnaik, M.P.V., Gopakumar, G.

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

Year : 2021

Haze Removal Using Generative Adversarial Network

Authors : Dr. Gopakumar G., Sanjay, A., Nair, J.J

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)

Authors : Dr. Gopakumar G., Choudary, M.N.S., Bommineni, V.B., Tarun, G., Reddy, G.P

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

Year : 2021

Dynamic Search Paths for Visual Object Tracking

Authors : Dr. Gopakumar G., Gunisetty, S., Bommerla, V.K., Dasari, M., Chava, V

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

Authors : Dr. Gopakumar G., Nair D.P, John, A.M, Varshini E.R.A, Arunima D

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

Authors : Dr. Gopakumar G., Darshik, S.A., Dev, A., Bharath, M., Nair, B.A

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

Authors : Dr. Gopakumar G., Hooda, M., Babu, J., Vamsi, P.S.

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

Authors : Dr. Gopakumar G., Rahul Krishnan, Varun Sekhar, J Sidharth, S Gautham

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

Authors : Dr. Gopakumar G., Narayanan, S.S

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

Authors : Dr. Gopakumar G., Jose, C.

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

Authors : Dr. Gopakumar G., Manu Madhavan, C. M. Sreeshma .

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

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.

Conference Proceedings

Year : 2020

Prediction of lncRNA-disease association using Topic Model using Graph

Authors : Dr. Gopakumar G., Manu Madhavan, Reshma Stephen;

Publisher : MoSiCOM 2020 (Springer), BITs Pilani, Dubai Campus,

Manu Madhavan, Reshma Stephen, and Gopakumar G., “Prediction of lncRNA-disease association using Topic Model using Graph”, MoSiCOM 2020 (Springer), BITs Pilani, Dubai Campus, January 29-31. 2020.

Year : 2018

A tf-idf based topic model for identifying lncRNAs from genomic background

Authors : Dr. Gopakumar G., Manu Madhavan

Publisher : SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, p.40 - 46.

Manu Madhavan and Gopakumar G., “A tf-idf based topic model for identifying lncRNAs from genomic background”, SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing. pp. 40 - 46, 2018.

Year : 2017

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

Authors : Dr. Gopakumar G., Dr. Mariyappan Shanmugam, ; H. Menon; S. V. Nair

Publisher : Nano India

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.

Year : 2017

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

Authors : Dr. Gopakumar G., K. S. Kalmady, Kamath, A. S., Subrahmanyam, G. R. K. S., and Gorthi, S. S

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

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

Year : 2016

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

Authors : Dr. Gopakumar G., Swetha, M.; Siva, Gorthi. Sai; Subrahmanyam, G R K S.

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

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

Year : 2014

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

Authors : Dr. Gopakumar G., G. R. K. Sai, and Siva, G. Sai

Publisher : ICVGIP ’14


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

Book Chapter

Year : 2021

Generating Audio from Lip Movements Visual Input: A Survey

Authors : Dr. Gopakumar G., Krishna Suresh, Subhasri Duttagupta

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

Authors : Dr. Gopakumar G., Subrahmanyam, G. R. K. Sai

Publisher : Handbook of Deep Learning Applications, Springer International Publishing

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.

Journal

Year : 2018

Convolutional neural network‐based malaria diagnosis from focus stack of blood smear images acquired using custom‐built slide scanner

Authors : Dr. Gopakumar G., Murali Swetha, Gorthi Sai Siva, Gorthi R K Sai Subrahmanyam

Publisher : WILEY‐VCH Verlag GmbH & Co. KGaA

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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