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Home > Prof.(Dr.) Jyothisha J Nair

Prof.(Dr.) Jyothisha J Nair

 

Professor

M.Tech (CSE) from University of Kerala

PhD (CS) from National Institute of Technology (NIT), Calicut

Contact

jyothishajnair@mgu.ac.in

Research Interests : 

Computer Vision, Deep Learning, Image Analysis, Medical Imaging, Federated Learning.

PhD – Awarded : 3  Ongoing: 6

Research Publications(Selected)

  • S. Nair, K. R. Amarnath and Jyothisha J. Nair, “Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images,” in IEEE Access, vol. 13, pp. 100105-100118, 2025, doi: 10.1109/ACCESS.2025.3576825.
  • G. Nair, C. V. A. Narayana, K. J. Reddy and Jyothisha J. Nair, “FedHSP: A Robust Federated Learning Framework Coherently Addressing Heterogeneity, Security, and Performance Challenges,” in IEEE Access, vol. 13, pp. 77049-77063, 2025, doi: 10.1109/ACCESS.2025.3563544
  • Sreelekshmi, K. Pavithran and Jyothisha J. Nair, “SwinCNN: An Integrated Swin Transformer and CNN for Improved Breast Cancer Grade Classification,” in IEEE Access, vol. 12, pp. 68697-68710, 2024, doi: 10.1109/ACCESS.2024.3397667.
  • Sreelekshmi, K. Pavithran and Jyothisha J. Nair, “Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer,” in IEEE Access, vol. 12, pp. 195658-195670, 2024, doi: 10.1109/ACCESS.2024.3518612.
  • Divya G. Nair, Jyothisha J. Nair, K. Jaideep Reddy, C.V. Aswartha Narayana, “A privacy preserving diagnostic collaboration framework for facial paralysis using federated learning”, Engineering Applications of Artificial Intelligence, Volume 116, 2022, doi.org/10.1016/j.engappai.2022.105476.
  • Cheriyan and J. J. Nair, “Influence Minimization With Node Surveillance in Online Social Networks,” in IEEE Access, vol. 10, pp. 103610-103618, 2022, doi: 10.1109/ACCESS.2022.3210126
  • S. Kumar and Jyothisha J. Nair, “Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images,” in IEEE Access, vol. 10, pp. 1968-1978, 2022, doi: 10.1109/ACCESS.2021.3139000.
  • Kumar, A.S., Jyothisha J. Nair. A novel SPLIT-SIM approach for efficient image retrieval. Multimedia Systems28, 659–672 (2022). https://doi.org/10.1007/s00530-021-00864-9
  • Vinay Varma Nadimpalli, Venu Vardhan Reddy Tekula, Sumanth Javvaji, Sedimbi Satya Pramod, Jyothisha J. Nair. (2020). Iterative Text-to-Image conversion using Recurrent Generative Adversarial Models. International Journal of Advanced Science and Technology, 29(4s) 2953 -2960, 2020
  • Aiswarya S Kumar, Jyothisha J Nair “Pairwise training for stacked Convolutional autoencoders using small scale images”, Journal of Intelligent and Fuzzy Systems Volume 36, Issue 3, IOS press 2019, Pages 1987-1995.
  • Gayathri R G, Jyothisha J Nair, “ex-FTCD: A novel Mapreduce Model for Distributed Multi Source Shortest Path Problem, Journal of Intelligent and Fuzzy Systems, vol 34(3), pages 1643-1652, IOS Press 2018 (SCI Indexed)
  • Jyothisha J Nair, Susanna Thomas, “Improvised Apriori with Frequent Subgraph Tree for Extracting Frequent Subgraphs” Journal of Intelligent and Fuzzy Systems, 32(2017) 3209-3219, IOS Press,2017 (SCI Indexed).
  • Gayathri R G, Jyothisha J Nair, “ Towards Efficient Analysis of Massive Networks”, International Journal of Applied Engineering Research 10(69), 2015,pg222-227
  • Jyothisha J Nair, V K Govindan, “Intensity inhomogeineity correction using Improved Homomorphic Unsharp Masking” Journal of Medical Imaging and Health Informatics vol 4(2),291-296 (2014) American Scientific Publishers. ( SCI Indexed, IF 0.877)
  • Jyothisha J Nair, V K Govindan, “Multi-scale Segmentation Based on Nonlinear Complex Diffusion” Journal of Medical Imaging and Health Informatics vol 3(2), 242-245, 2013. American Scientific Publishers. ( SCI Indexed, IF 0.877)
  • Jyothisha J Nair, V K Govindan, “Automatic Segmentation Employing Fuzzy Connectedness”, International Review on Computers and Software, Praise Worthy Prize (Vol. 7 N. 2), pp. 561-567 March 2012. ISSN :2533-1728

Book Chapters (Selected)

    1. Nagireddy Moneesh, Madhan S, Divya G. Nair, Jyothisha J. Nair,”FedHybrid: Unifying Aggregation Strategies to Optimize Federated Learning on Non-IID Dataset”, Procedia Computer Science, Volume 258, 2025, Pages 3126-3134, https://doi.org/10.1016/j.procs.2025.04.570.
    2. Hrishikesh P, Akshay V, Anugraha K, T.R. Hari Subramaniam, Jyothisha J. Nair, “Vision Based Gesture Recognition”, Procedia Computer Science, Volume 235, 2024, Pages 303-315, https://doi.org/10.1016/j.procs.2024.04.031.
    3. V Sreelekshmi, Jyothisha J Nair, “Variational Auto encoders for Improved Breast Cancer Classification”, Procedia Computer Science, Volume 233, 2024, Pages 801-811, https://doi.org/10.1016/j.procs.2024.03.269.
    4. S Sarath, Jyothisha J Nair, “Detection and Classification of Respiratory Syndromes in Original and modified DCGAN Augmented Neonatal Infrared Datasets”, Procedia Computer Science, Volume 233, 2024, Pages 422-431, https://doi.org/10.1016/j.procs.2024.03.232.
    5. Jo Cheriyan, Jyothisha J Nair, “Feedback-Regulated Information Fusion Approach for Optimizing Multiple Spread Control in complex Network”, Procedia Computer Science, Volume 233, 2024, Pages 822-831, https://doi.org/10.1016/j.procs.2024.03.271.
    6. Neeraj S. Kumar, Jyothika Sony, Arathi Premkumar, Meenakshi R, Jyothisha J Nair, “Transfer Learning-based Object Detection Models for Improved Diagnosis of Tomato Leaf Disease”, Procedia Computer Science, Volume 235, 2024, Pages 3025-3034, https://doi.org/10.1016/j.procs.2024.04.286.
    7. R. Athira, Jyothisha J Nair,”Diabetic Retinopathy Grading From Color Fundus Images: An Autotuned Deep Learning Approach,” Procedia Computer Science, Volume 218, 2023, Pages 1055-1066, https://doi.org/10.1016/j.procs.2023.01.085.
    8. Venugopal, A., Sreelekshmi, V., Jyothisha J Nair (2023). Ensemble Deep Learning Model for Breast Histopathology Image Classification. ICT Infrastructure and Computing. Lecture Notes in Networks and Systems, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-19-5331-6_51
    9. Hridya Krishna, R., Manoj, A., Vaishnavi, K.P., Jyothisha J Nair (2023). Deep Learning Approach for Brown Spot Detection and Nitrogen Deficiency Estimation in Rice Crops. ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-19-5221-0_65
    10. Pillai, M.B., Jyothisha J Nair (2023). Nuclei Segmentation Using UNet with EfficientNetV2 as Encoder. ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-19-5221-0_57
    11. Nair, D.G., Aswartha Narayana, C.V., Jaideep Reddy, K., Jyothisha J Nair. (2022). Exploring SVM for Federated Machine Learning Applications. Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-19-1018-0_25
    12. Kumar, A.S., Jyothisha J Nair. (2022). Compact-VG: A Small-scale Dataset for Scene Graph Generation. Data Engineering and Intelligent Computing. Lecture Notes in Networks and Systems, vol 446. Springer, Singapore. https://doi.org/10.1007/978-981-19-1559-8_18
    13. Aiswarya K Prabhakaran, Jyothisha J Nair, Sarath S, “ Thermal Facial Expression Recognition Using Modified ResNet152”, Lecture Notes in Electrical Engineering (Springer), 2021, 736 LNEE, pp 389-396 ( ISBN No. 978-981-336-989-3)
    14. Priya R, Sreeleshmi V, Jyothisha J Nair, Gopakumar G, “ Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine”, Lecture Notes in Electrical Engineering (Springer), 2021, 736 LNEE, pp 435-448 ( ISBN No. 978-981-336-989-3)
    15. Amrita Sanjay, Jyothisha J Nair, Gopakumar G, Haze Removal using Generative Adversarial network, Lecture Notes in Electrical Engineering (Springer), 2021, 736 LNEE, pp 207-217 (ISBN No. 978-981-336-989-3)
    16. Sadhu Sai Kaushal, Mullapudi Aseesh, Jyothisha J Nair, “Computing Articulation Points Using Maximal Clique Based Vertex Classification” Advances in Intelligent Systems and Computing,  (Springer) pp. 641–651, 2020. (eBook ISBN 978-981-15-1081-6)
    17. Dhanya, R., Paul, I.R., Akula, S.S., Sivakumar, M. Jyothisha J Nair, F-test feature selection in Stacking ensemble model for breast cancer prediction, Procedia Computer Science, 2020, 171, pp. 1561–1570.
    18. Gayathri R.G, Jyothisha J Nair, M. R Kaimal “ Extending Full transitive closure to rank removable edges in GN algorithm “ Procedia Computer Science 93(2016) , pp 995-1002”.
    19. Sreelekshmi Priya U, Jyothisha J Nair, “Denoising of DT-MR Images with an Iterative PCA”, Procedia Computer Science 58(2015) pg 603-613.
    20. Jyothisha J Nair and V K Govindan, “Speckle noise reduction using fourth order complex diffusion based homomorphic filter”, Advances in Computing and Information Technology, (Springer) pp. 895-903, 2012. (Book chapter,  Print ISBN 978-3-642-31551-0)

International Conferences (Selected)

  • Stephi and J. J. Nair, “Wheat Disease Detection And Growth Stage Monitoring Using Deep Learning Architectures,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307548.
  • Nayar, J. Vinitha Panicker and J. J. Nair, “Deep Learning Based Model for Multi-class Classification of Cervical Cells Using Pap Smear Images,” 2022 IEEE 7th International conference for Convergence in Technology (I2CT), Mumbai, India, 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9825187.
  • Rangasrinivasan, S. Sumeghana, R. S. Ruthwik, S. Lohitha Bhagam and J. J. Nair, “A Unified Analysis of Masked Face Recognition & Social Distancing Detection,” 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022, pp. 520-527, doi: 10.1109/ICICICT54557.2022.9917812.
  • Nair, V. N. V. Prasad, A. Sreenadh and J. J. Nair, “Coreference Resolution for Ambiguous Pronoun with BERT and MLP,” 2021 International Conference on Advances in Computing and Communications (ICACC), Kochi, Kakkanad, India, 2021, pp. 1-5, doi: 10.1109/ICACC-202152719.2021.9708203.
  • Hridya Krishna, R.; Vaishnavi, K. P.; Anagha Ramadas, M.; Chanalya, N.; Manoj, A.; Nair, J. J., “Deep Learning Approaches for Detection of Covid-19 Using Chest X-Ray Images”, 4th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2021
  • Ajith, A., Manoj, K., Kiran, H., Pillai, P.J., Nair, J.J., A Study on Prediction and Spreading of Epidemic Diseases, Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020, pp. 1265–1268, 9182147
  • Sreekumar, A., Nair, K.R., Sudheer, S., Ganesh Nayar, H., Nair, J.J., Malignant Lung Nodule Detection using Deep Learning, Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020,  pp. 209–212, 9182258
  • Monisha Mohan, Jyothisha J Nair, “Coreference Resolution in Ambiguous Pronouns Using BERT and SVM”, Proceedings of the 2019 International Symposium on Embedded Computing and System Design, ISED 2019, 2019, pp. 68–72, 9096245
  • Vignesh, R., Vishnu, R., Raj, S.M., …Nair, D.G., Nair, J.R., An improved method for sharing medical images for privacy preserving machine learning using multiparty computation and steganography, Proceedings of the 2019 9th International Conference on Advances in Computing and Communication, ICACC 2019,  pp. 42–45, 8986165
  • Dhanya, R., Paul, I.R., Sindhu Akula, S., Sivakumar, M., Nair, J.J., A comparative study for breast cancer prediction using machine learning and feature selection, International Conference on Intelligent Computing and Control Systems, ICCS 2019, pp. 1049–1055, 9065563
  • Aparna C M Jyothisha J Nair, “Uncovering the relationship among overlapping communities” ,Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018 5 November 2018, Article number 8524328, Pages 883-887.
  • Aparna C.M, Jyothisha J Nair, “ Influencing Community Detection Using Overlapping Communities” , Proceedings – 2018 4th International Conference on Computing, Communication Control and Automation, ICCUBEA 201823 April 2019, Article number 8697662
  • Praneeth Tatikonda Kuppili Harsha Avinash P Jayakumar P Jyothisha J Nair, “Construction of Multiplicative Graph Spanners using Minimum Connected Dominating Set with Bounded Diameter” ,2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 201830 November 2018, Article number 8554779, Pages 1436-1440.
  • Nellisery Cheryl Anto Jaya, Krishnapriya S, Dr Jyothisha J Nair, “Commercial Mango juice classification using fuzzy logic”2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 201830 November 2018, Article number 8554806, Pages 888-891.
  • Deepak S, Aiswarya R,Aparna C, Jyothisha J Nair, “ Optimization of Gaussian Membership Functions using Unscented Kalman Filter”, 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018,30 November 2018, Article number 8554504, Pages 957-961.
  • Yeshwanth , Jayakumar P, Jyothisha J Nair, “Computing Multiplicative Spanners Efficiently for a Class of Simple Graphs”, 2018 International Conference on Data Science and Engineering, ICDSE 2018,8 November 2018, Article number 8527801.
  • Jyothisha J Nair,Neethu Mohan, “PLS based Alzhemiers Disease Diagonosis in MR images”, Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, ICCSP 2017 Volume 2018-January, 7 February 2018, Pages 1232-1235
  • Gayathri R.G, Jyothisha J Nair, “Mapreduce model for finding closely knit communities in large scale networks”, Proceedings of the 2017 IEEE International Conference on Communication & Signal Processing 2017, Volume 2018-January, 7 February 2018, Pages 663-668.
  • Sreelekshmi and J. J. Nair, “Dynamic vehicle routing for solid waste management,” 2017 IEEE Region 10 Symposium (TENSYMP), Cochin, 2017, pp. 1-5.
  • Aiswarya G, Nanditha Valsaraj, Vaishak M, Thanthu U Nair, Karthik V and Jyothisha J Nair, Content based 3D image retrieval using point cloud library- a novel approach for the retrieval of 3D images, , ICCSP 2017 Volume 2018-January, 7 February 2018, Pages 817-820
  • Sakshi vaid, Rene Salih, Gayathri R.G , Jyothisha J Nair, “All pair shortest path using Distributed Architecture”, International Conference on Advances in Computing,Communications & Informatics 2017
  • Bipin B, Jyothisha J Nair “ Image Convolution Optimization using Sparse matrix Vector Multiplication Technique”, International Conference on Advances in Computing, Communications and Informatics (ICACCI-2016) pp 1453-1457. 
  • Hrishikesh N, Jyothisha J Nair “Interactive Learning System for the Hearing Impaired and the Vocally Challenged”, International Conference on Advances in Computing, Communications and Informatics (ICACCI-2016) pp1079-1083.
  • Susanna Thomas, Jyothisha J Nair “A Survey on extracting frequent subgraphs”, International Conference on Advances in Computing, Communications and Informatics (ICACCI-2016).
  • Bindhya Bhadran, Jyothisha J Nair, “Classification of Patterns on High Resolution SAR Images”, In proceedings of the International Conference on Computing and Network Communications (CoCoNet’15).
  • Jyothisha J Nair, Dhanya Francis, “Robust Non-local Total Variation Image Inpainting”, In proceeding of the 7th International Conference on Computational Intelligence and Communication Networks, CICN 2015.
  • Nithin Gopinath, Arjun K, Adithya Shankar, Jyothisha J Nair, “Complex Diffusion Based Image Inpainting”,In proceeding of the International Conference on Next Generation Computing Technologies, NGCT 2015.
  • Jyothisha J Nair, Neethu Mohan, “A Robust Non Local means maximum Likelihood Estimation Method for Rician Noise reduction in MR Images”, In proceedings of the IEEE International Conference on Communication and Signal processing, ICCSP
  • Jyothisha J Nair, Bindhya Bhadran, “ Denoising of SAR Images Using Maximum Likelihood Estimation”, In proceedings of the IEEE International Conference on Communication and Signal processing, ICCSP
  • Akshay J D, Lakshmi SS, Harikrishnan S, Rajesh R, Jyothisha J Nair, Surendran K N, Ganesh Udupa, “ A cost Effective Form Tester for Evaluating Cam and Circularity Error Profiles”, International Colloquium on Materials,Manufacturing and Metrology, IIT madras,Chennai, ICMMM 2014.
  • Jyothisha J Nair, V K Govindan, “Automatic Segmentation of MR Brain Images”, In Proceedings of the ICCCS International Conference on Communication, Computing and Security (ACM), NIT Rourkela, Feb 12-15, 2011.

Details of Research Projects

  • Pedagogy Project-Developing suitable pedagogical methods for various classes, intellectual calibers and research in e-learning, Course Developer (Programming and Data Structures) for the MHRD Project (IIT Kharagpur Initiative). (Completed).

Academic Positions/Extension Activities

  • Vice Principal, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus (July 2021 – April 2025).
  • Head of the Department, Computer Science and Applications/ Information Technology, Amrita Vishwa Vidyapeetham, Amritapuri Campus. (June 2007- July 2008).
  • Vice-Chairperson, Department of Computer Science and Engineering, Amrita Amrita Vishwa Vidyapeetham (July 2013 – June 2021)
  • Academic Expert to the Departmental Advisory Committee– Dept of Computer Science and Engineering / Information Technology, College of Engineering Perumon.
  • Chairman, Board of Studies in Computer Science and Information Technology, Amrita Vishwa Vidyapeetham, (2016-2019) and (2019- 2022).
  • Chairman, Board of Studies (MTech-AI), Amrita Vishwa Vidyapeetham, (2020-2022, 2022 – 2024).
  • Chairman, Board of Studies (MTech-CSE(AI) ), Amrita Vishwavidyapeetham, (2012-2014, 2015-2017, 2018-2020, 2020 – 2022, 2022 – 2024)
  • Member, Board of Studies (BTech-CSE), Amrita Vishwa Vidyapeetham, (2013 – 2025).
  • Member, Board of Studies (BTech-EAC), Amrita Vishwa Vidyapeetham, (2019 – 2025).
  • Member, Board of Studies (BTech-CSE Cyber), Amrita Vishwa Vidyapeetham, (2023 – 2025).
  •  IQAC Member (Internal Quality Assurance Cell), Amrita Vishwa Vidyapeetham, Amritapuri Campus (2012-2025).

Professional Membership

  • IEEE Senior Member

 

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