Professor Warrior holds a Bachelor of Technology degree from the Indian Institute of Technology Madras, a foundation upon which he built his expertise with advanced studies in the United States. His academic journey has been marked by a deep dive into the complexities of fluid dynamics and its application in critical real-world scenarios. His professional focus is sharply defined by his work in swarm dynamics, a field that explores how groups of autonomous underwater vehicles can coordinate to achieve complex objectives. He has significantly contributed to a Ministry of Earth Sciences project, where he applied his knowledge to Autonomous Underwater Vehicles (AUVs). Beyond his specialization in fluid dynamics, Professor Warrior possesses a strong foundation in oceanography. This interdisciplinary science, which encompasses the study of the ocean's physical, chemical, geological, and biological aspects, provides him with a holistic understanding of the marine environment. He leverages this knowledge in his research, integrating oceanographic principles into his work with AUVs and underwater systems. In addition, Professor Warrior is adept at applying cutting-edge technologies to his research. He skillfully employs artificial neural networks and deep learning methodologies to enhance his data analysis, model development, and the overall effectiveness of his applications. These advanced computational techniques enable him to extract meaningful insights from complex datasets, improve the accuracy of his predictions, and develop innovative solutions to challenging problems.

Professor Warrior has also contributed to projects for the Defence Research and Development Organisation (DRDO), focusing on the development of innovative methods for underwater submarine detection. This work demonstrates his ability to apply his theoretical knowledge to practical, defense-related challenges. His contributions to DRDO highlight his capacity to bridge the gap between academic research and real-world applications, particularly in the context of national security.

All Publications

Free surface features of submarines moving underwater: Study of Bernoulli Hump by G S., Ali A., Mitra A., Jaiswal A., Naresh P., Warrior H.V. Ocean Engineering 249 - (2022)
Comprehending the role of different mechanisms and drivers affecting the sea-surface pCO2 and the air-sea CO2 fluxes in the Bay of Bengal: A modeling study by Joshi A. P., Warrior H. V. Marine Chemistry 243 104120- (2022)
The effects of free stream turbulence on the hydrodynamic characteristics of an AUV hull form by Mitra A., Panda J. , Warrior H. V. Ocean Engineering 174 148-158 (2019)
Study of turbulent flow past a square cylinder using partially-averaged Navier Stokes method in OpenFOAM by Chakraborty A., Warrior H.V. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234 2821-2832 (2020)
Wide area surveillance using ship wakes by Barman J., Kumar A., Warrior H.V., Maheswaran P.A., Kumar H. Current Science 114 1606-1607 (2018)
Experimental and numerical investigation of the hydrodynamic characteristics of Autonomous Underwater Vehicles over sea-beds with complex topography by Mitra A., Panda J. , Warrior H. V. Ocean Engineering 198 1069-1078 (2020)
Detection of ships moving in a straight line and turning with implications for wide area surveillance by Jaiswal A. K., G S. , Warrior H. V. International Journal of Naval Architecture and Ocean Engineering 100452- (Accepted/In-Press)
Coastal modelling incorporating artificial neural networks for improved velocity prediction by Sumangala D., Warrior H. ISH Journal of Hydraulic Engineering - (2020)
A review on the hydrodynamic characteristics of autonomous underwater vehicles by Panda J.P., Mitra A., Warrior H.V. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment 235 15-29 (2021)
An Improved Model Including Length Scale Anisotropy for the Pressure Strain Correlation of Turbulence by Panda J. P., Warrior H. V. Journal of Fluids Engineering 139 139-143 (2017)