Journal Publications
Jayakrishnan Anandakrishnan, Kuei-Chung Chang, Mohan, Alkha, Chuan-Yu Chang, Keping Yu, and Arun Kumar Sangaiah. “E-OptEEG: A Hybrid Ensemble Metaheuristic Feature Opti-mization for EEG-Based Sentiment Analysis on Resource-Constrained Edge Devices”. In: IEEE Transactions on Computational Social Systems (2026), pp. 1–14. doi: 10.1109/TCSS.2026.3663208. [Q1].
Arun Kumar Sangaiah, Alkha Mohan, Jayakrishnan Anandakrishnan, Yi-Bing Lin, Salman A. AlQahtani, and Jong Hyuk Park. “HydroFedNet: An Intent Based Unified Federated Frame-work for Multi-Source Water Quality Monitoring”. In: IEEE Internet of Things Journal (2025), pp. 1–1. doi: 10.1109/JIOT.2025. 3627665. [Q1].
Mohan, Alkha, Venkatesan, Prabhavathy, and Jayakrishnan. “Temporal convolutional net-work based rice crop yield prediction using multispectral satellite data”. en. In: Infrared Phys. Technol. 135.104960 (2023), p. 104960. [Q2].
Alkha Mohan, M Venkatesan, HybridCNN based hyperspectral image classification using multiscale spatiospectral features,Infrared Physics & Technology,Volume 108,2020,103326,ISSN 1350 4495, https://doi.org/10.1016/j.infrared.2020.103326. [Q2]. Get Code
Mohan, A., Meenakshi Sundaram, V. V3O2: hybrid deep learning model for hyperspectral image classification using vanilla-3D and octave-2D convolution. J Real-Time Image Proc (2020). https://doi.org/10.1007/s11554-020-00966-z.[Q2]. Request Code
Mohan, A. and Jayakrishnan, A., 2015. “Contrast Enhancement in Color Extended Visual Cryptography”. International Journal of Advanced Research in Computer Science and Software Engineering, 5(3).
S. Vijayan, and M. S. Alkha Mohan, “Contourlet based edge enhancement and detection in SAR images,” IJERT, Vol. 4, no. 5, pp. 1079–1083, May-2015. ISSN: 2278-0181.
Conference Publications
Neelkanth Mawood, Arun Kumar Sangaiah, Alkha Mohan, and Hwa-Lung Yu. “SA-BEF: Deep Fusion of Sentinel-1/2 for Forest Biomass Estimation with Occlusion-Aware Attention Mechanisms”. In: The Fourteenth International Conference on Ubi-Media Computing. 2026. [Accepted, SCOPUS].
Smruthi Sri Datta, Arun Kumar Sangaiah, Alkha Mohan, and Jayakrishnan Anandakrishnan. “TCANAgriCloud: A Cloud-Enabled IoT-Integrated Deep Learning Framework for Spatio-Temporal Crop Yield Prediction”. In: 2025 IEEE International Conference on Cloud Compu-ting Technology and Science (Cloud- Com). 2025, pp. 1–8. doi: 10.1109/CloudCom67567.2025.11331491. [SCOPUS].
A Jayakrishnan, M Venkatesan, P Prabhavathy, and Alkha, Mohan. “MSDF-Net: A Multi-Scale Deep Fusion Network with Dilated Convolutions for Cloud Removal from Sentinel-2 Imagery”. In: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2023, pp. 63–70. doi: 10.1109/APSIPAASC58517.2023.10317471. [SCOPUS].
Mohan A., Venkatesan M. (2020) Hybrid Dimensionality Reduction Technique for Hyperspectral Images Using Random Projection and Manifold Learning. In: Lu W., Zhu K.Q. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2020. Lecture Notes in Computer Science, vol 12237. Springer, Cham. https://doi.org/10.1007/978-3-030-60470-7_12 (PAKDD 2020- Singapore- 11-14 MAY 2020) [SCOPUS].
Mohan A., Venkatesan M. (2020) Spatiospectral Feature Extraction and Classification of Hyperspectral Images Using 3D-CNN + ConvLSTM Model. In: Goel N., Hasan S., Kalaichelvi V. (eds) Modelling, Simulation and Intelligent Computing. MoSICom 2020. Lecture Notes in Electrical Engineering, vol 659. Springer, Singapore. https://doi.org/10.1007/978-981-15-4775-1_18 (MoSICom 2020- BITS Dubai- 29-31 JAN 2020) [SCOPUS].
Mohan A., Venkatesan M. (2020) Spatial Data-Based Prediction Models for Crop Yield Analysis: A Systematic Review. In: Venkata Krishna P., Obaidat M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_33 (CCODE 2019, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Andrapradesh, 1-2 FEB 2019) [SCOPUS].
A. Mohan and Binu V P, "Quality improvement in Color Extended Visual Cryptography using ABM and PRWP," 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), Ernakulam, 2016, pp. 273-278, doi: 10.1109/SAPIENCE.2016.7684159. (SAPIENCE 2016, Sree Narayana Gurukulam College of Engineering, Earnakulam, Kerala, 16-18 March 2016) [SCOPUS].
Book chapters
Alkha Mohan, Jayakrishnan Anandakrishnan, M Venkatesan, and P Prabhavathy. “T-HyC : A Transfer Learning-based Multi-Scale 3D-2D Feature Aggregation for Hyperspectral Image Classification”. In: Computational Intelligence Based Hyperspectral Image Analysis and Appli-cations. Ed. by Ajith Abraham Anu Bajaj. Springer Nature, 2025. [SCOPUS].
Jayakrishnan Anandakrishnan, M Venkatesan, P Prabhavathy, and Alkha Mohan. “A Parallel Attention Guided Generative Adversarial Network for Efficient Thin Cloud Removal from Satellite Imagery”. In: Generative Adversarial Networks for Remote Sensing. Ed. by Karbhari Vishwanth Kale Amol Dattatraya Vibhute Rajesh Kumar Dhanaraj. IGI Global, 2025. [SCOPUS].
Alkha Mohan and Jayakrishnan Anandakrishnan. “Leaf-CAP: A Capsule Network-Based Tea Leaf Disease Recognition and Detection”. In: Predictive Analytics in Smart Agriculture. Ed. by S. Krishnan, A. J. Anand, N. Prasanth, S. Goundar, and C. Ananth. CRC Press, 2023. [SCOPUS].
Patent
“AI BASED CROP HEALTH MONITORING DEVICE”. Design Patent 6468930. Registered with the UK Intellectual Property Office. 2025.