Shashank Anivilla is an Assistant Professor (On Contract) and Ph.D. Research Scholar at Amrita Vishwa Vidyapeetham, Coimbatore, specializing in Artificial Intelligence and Hydrological Modelling in Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham. His doctoral research focuses on developing advanced AI-driven hydrological forecasting systems, integrating remote sensing indicators and flood-vulnerability modelling. His thesis is titled “Hydrological and Data-Driven Approaches for Flood Vulnerability and Risk Assessment.” He has designed high-performance streamflow prediction frameworks utilizing Transformer, BiGRU, and ensemble architectures, and contributed to the development of MTV19ANet, a multi-tier deep learning model for flood early-warning systems. His work validates these architectures by integrating geospatial predictors and climate forcing variables from multi-continental CAMELS basins.
Beyond hydrological forecasting, his interdisciplinary expertise spans applied AI for cybersecurity and ecological monitoring. He has contributed to the development of deep convolutional neural network-based intrusion detection systems (DCNN-IDS) and explored frameworks for handling imbalanced data in network security environments. Additionally, his research in advanced image analysis includes developing semantic segmentation workflows using Conditional Generative Adversarial Networks (C-GAN) to detect epiphytes in forest
He has published in Water Resources Management, ISPRS Archives, and several Springer and IEEE conference proceedings.
Year : 2025
Cite this Research Publication : Shashank A, Geetha P, Jyothish Lal G, Sankaran Rajendran, MTV19ANet: A Multi-tier Visual Geometry Group 19 with Attention Network-Based Streamflow Prediction System, Water Resources Management, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s11269-025-04113-w
Publisher : Springer Science and Business Media LLC
Courses Taught
Doctoral advisor
Doctoral Committee Members
| Thesis Advisor | Dr. Geetha P(CEN) |
| Co-Advisor | Dr. JYOTHISH LAL G(CEN) |
| DC Member | Dr. Gopalakrishnan E.A(CEN) |
| DC Member | Dr. NEETHU MOHAN(AI) |
GIAN/Workshops/Short-term training programs attended:
