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Dr. Jayakrishnan Anandakrishnan

Assistant Professor, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore

Qualification: B. Tech., M.Tech., Ph.D
a_jayakrishnan@cb.amrita.edu
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Bio Publications Educations Patents Awards and Recognitions Review/Editorial Activities
Bio

Dr. Jayakrishnan Anandakrishnan received the bachelor’s degree in Computer Science and Engineering from Kerala University, India, in 2011, and the master’s degree in Computer Science with a specialization in Image Processing from the Cochin University of Science and Technology, India, in 2013. He received his Ph.D. in Computer Science and Engineering from the National Institute of Technology, Puducherry, Karaikal, India, in 2025. He expanded his expertise through an internship at the International Internship Pilot Program funded by the National Science and Technology Council (NSTC) of Taiwan, further enriching his knowledge and experience in his field. He is currently a full-time Assistant Professor with the School of Computing, Amrita Vishwa Vidyapeetham, Coimbatore Campus, India. His research interests encompass AI/ML/DL, remote sensing, geospatial analytics, IoT, and edge computing.

Publications

Conference Paper

Year : 2025

TCAN-AgriCloud: A Cloud Enabled IoT-Integrated Deep Learning Framework for Spatio-Temporal Crop Yield Prediction

Cite this Research Publication : Smruthi Sri Datta, Arunkumar Sangaiah, Alkha Mohan, and Jayakrishnan Anandakrishnan, “TCAN-AgriCloud: A Cloud Enabled IoT-Integrated Deep Learning Framework for Spatio-Temporal Crop Yield Prediction,” in Proceedings of the IEEE International Conference on Cloud Computing (CloudCom 2025) – AIoT for Smart Cities, Agriculture and Forestry Track, China, 2025

Publisher : IEEE

Year : 2024

Hybrid 3D-2D Deep Multi-Source Fusion Framework for Cloud Removal From SAR-Optical Data

Cite this Research Publication : Jayakrishnan Anandakrishnan, M Venkatesan, P Prabhavathy, Hybrid 3D-2D Deep Multi-Source Fusion Framework for Cloud Removal From SAR-Optical Data, 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), IEEE, 2024, https://doi.org/10.1109/ingarss61818.2024.10984260

Publisher : IEEE

Year : 2024

MAE-CG: A Multi-Attention Enhanced Thin Cloud-Removal Generative Adversarial Network For Airborne Imagery

Cite this Research Publication : Jayakrishnan Anandakrishnan, M Venkatesan, P Prabhavathy, J Santhana Krishnan, G Pavithra, R Dhanalakshmi, S Amishaa, MAE-CG: A Multi-Attention Enhanced Thin Cloud-Removal Generative Adversarial Network For Airborne Imagery, 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), IEEE, 2024, https://doi.org/10.1109/ingarss61818.2024.10984085

Publisher : IEEE

Year : 2024

UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection

Cite this Research Publication : Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Nguyen Khanh Son, Shivani Kumari, Muhammad Luqman Arif, Mohd Amiruddin Abd Rahman, UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection, 2024 IEEE International Conference on Smart Internet of Things (SmartIoT), IEEE, 2024, https://doi.org/10.1109/smartiot62235.2024.00012

Publisher : IEEE

Year : 2023

MSDF-Net: A Multi-Scale Deep Fusion Network with Dilated Convolutions for Cloud Removal from Sentinel-2 Imagery

Cite this Research Publication : A Jayakrishnan, M Venkatesan, P Prabhavathy, Mohan Alkha, MSDF-Net: A Multi-Scale Deep Fusion Network with Dilated Convolutions for Cloud Removal from Sentinel-2 Imagery, 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, 2023, https://doi.org/10.1109/apsipaasc58517.2023.10317471

Publisher : IEEE

Book Chapter

Year : 2025

A Parallel Attention-Guided Generative Adversarial Network for Efficient Thin Cloud Removal From Satellite Imagery

Cite this Research Publication : Jayakrishnan Anandakrishnan, M. Venkatesan, P. Prabhavathy, J. Santhana Krishnan, Alkha Mohan, S. Santhanakrishnan, W. Joshua, R. Sachin, A Parallel Attention-Guided Generative Adversarial Network for Efficient Thin Cloud Removal From Satellite Imagery, Advances in Geospatial Technologies, IGI Global, 2025, https://doi.org/10.4018/979-8-3693-6900-5.ch001

Publisher : IGI Global

Year : 2025

T-HyC: A Transfer Learning-Based Multi-scale 3D-2D Feature Aggregation for Hyperspectral Image Classification

Cite this Research Publication : Alkha Mohan, A. Jayakrishnan, M. Venkatesan, P. Prabhavathy, T-HyC: A Transfer Learning-Based Multi-scale 3D-2D Feature Aggregation for Hyperspectral Image Classification, Intelligent Systems Reference Library, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-83123-2_8

Publisher : Springer Nature Switzerland

Year : 2023

Leaf-CAP: A Capsule Network-Based Tea Leaf Disease Recognition and Detection

Cite this Research Publication : Alkha Mohan and Jayakrishnan Anandakrishnan, “Leaf-CAP: A Capsule Network-Based Tea Leaf Disease Recognition and Detection,” in Predictive Analytics in Smart Agriculture, edited by S. Krishnan, A. J. Anand, N. Prasanth, S. Goundar, and C. Ananth, CRC Press, 2023.

Publisher : CRC Press

Journal Article

Year : 2025

Edge-IoT-UAV Adaptation Toward Precision Agriculture Using 3D-LiDAR Point Clouds

Cite this Research Publication : Arun Kumar Sangaiah, Jayakrishnan Anandakrishnan, Venkatesan Meenakshisundaram, Mohd Amiruddin Abd Rahman, Padmapriya Arumugam, Mrinali Das, Edge-IoT-UAV Adaptation Toward Precision Agriculture Using 3D-LiDAR Point Clouds, IEEE Internet of Things Magazine, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/iotm.001.2400027

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9

Cite this Research Publication : Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Hendri Darmawan, Nguyen Khanh Son, Yi-Bing Lin, Mohammed J. F. Alenazi, Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jstars.2024.3505964

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Point-KAN: Leveraging Trustworthy AI for Reliable 3D Point Cloud Completion With Kolmogorov Arnold Networks for 6G-IoT Applications

Cite this Research Publication : Arun Kumar Sangaiah, Jayakrishnan Anandakrishnan, Sujith Kumar, Gui-Bin Bian, Salman A. AlQahtani, Dirk Draheim, Point-KAN: Leveraging Trustworthy AI for Reliable 3D Point Cloud Completion With Kolmogorov Arnold Networks for 6G-IoT Applications, IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jiot.2025.3576434

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

HydroFedNet: An Intent Based Unified Federated Framework for Multi-Source Water Quality Monitoring

Cite this Research Publication : Arun Kumar Sangaiah, Alkha Mohan, Jayakrishnan Anandakrishnan, Yi-Bing Lin, Salman A. AlQahtani, Jong Hyuk Park, HydroFedNet: An Intent Based Unified Federated Framework for Multi-Source Water Quality Monitoring, IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jiot.2025.3627665

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS

Cite this Research Publication : Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer, STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jstars.2024.3510468

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0

Cite this Research Publication : Arun Kumar Sangaiah, Jayakrishnan Anandakrishnan, Nguyen Khanh Son, Hendri Darmawan, Gui-Bin Bian, Mohammed J. F. Alenazi, LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0, IEEE Open Journal of the Communications Society, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/ojcoms.2025.3537105

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

CERMF-Net: A SAR-Optical Feature Fusion for Cloud Elimination From Sentinel-2 Imagery Using Residual Multiscale Dilated Network

Cite this Research Publication : Jayakrishnan Anandakrishnan, Venkatesan M Sundaram, Prabhavathy Paneer, CERMF-Net: A SAR-Optical Feature Fusion for Cloud Elimination From Sentinel-2 Imagery Using Residual Multiscale Dilated Network, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/jstars.2024.3411032

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Crop Classification using Semi supervised Learning on Data Fusion of SAR and Optical Sensor

Cite this Research Publication : Arun Kumar R, Gopikrishnan C, Varun Raj A, Venkatesan M, Mr. Jayakrishnan, Crop Classification using Semi supervised Learning on Data Fusion of SAR and Optical Sensor, International Research Journal on Advanced Science Hub, RSP Science Hub, 2023, https://doi.org/10.47392/irjash.2023.s060

Publisher : RSP Science Hub

Year : 2023

Temporal convolutional network based rice crop yield prediction using multispectral satellite data

Cite this Research Publication : Alkha Mohan, Venkatesan M., Prabhavathy P., Jayakrishnan A., Temporal convolutional network based rice crop yield prediction using multispectral satellite data, Infrared Physics & Technology, Elsevier BV, 2023, https://doi.org/10.1016/j.infrared.2023.104960

Publisher : Elsevier BV

Educations
  • 2025 : Ph. D. National Institute of Technology Puducherry, Karaikal, India
  • 2013 : M.Tech Cochin University of Science and Technology, Kerala, India
  • 2011 : B.Tech Kerala University, Kerala, India
Patents
  • AI-Based Crop Health Monitoring Device, UK Design, 6468930 (Granted)
Awards and Recognitions
  • IIPP Research Intern – NSTC, Taiwan
Review/Editorial Activities

IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Cognitive Communications and Networking, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Internet of Things Journal, Engineering Applications of Artificial Intelligence, Computers and Electronics in Agriculture, Remote Sensing Applications: Society and Environment, Earth Science Informatics, International Journal of Applied Geospatial Research, Neurocomputing, International Journal of Cognitive Computing in Engineering, Scientific Reports, Signal, Image and Video Processing, Plant Growth Regulation, Plant Methods, Science Progress, International Journal of Agricultural and Environmental Information Systems (IJAEIS), Discover Artificial Intelligence, Discover Applied Sciences, IGI Global.

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