Books edited (1)
J. Senthilnath, Xiaoli Li, and Yung-Hsiang Lu
“Sustainable AI: Methods and Scientific Applications"
World Scientific Press, 2026 [in-press]
Book chapters (12)
I. Solomon, J. Senthilnath, X. Li, and Y-H. Lu
“Introduction to Sustainable AI"
Sustainable AI: Methods and Scientific Applications, World Scientific Press, Chapter 1, 2026.
I. Solomon, A.P.P. Aung, U. Kumar, and J. Senthilnath
“Semiconductor Failure Detection through Continuous Adaptation"
Sustainable AI: Methods and Scientific Applications, World Scientific Press, Chapter 6, 2026.
T.V. Varma, S. Sarkar, R. Dutta, and J. Senthilnath
“Comparative Analysis of Truss Optimization Techniques"
Sustainable AI: Methods and Scientific Applications, World Scientific Press, Chapter 8, 2026.
C.S. Arvind, R. Dutta, K. Harikumar, and J. Senthilnath
“Deep Reinforcement Learning Enabled Autonomous Navigation with Selective Usage of Ultrasonic Sensor Data"
Sustainable AI: Methods and Scientific Applications, World Scientific Press, Chapter 9, 2026.
T.V. Varma, R. Ramani, R. Dutta, J. Senthilnath, and S. Sarkar
“Redirecting Crack with Learning-based Approach for Structural Durability"
Sustainable AI: Methods and Scientific Applications, World Scientific Press, Chapter 10, 2026.
R. Khandelwal, J. Senthilnath, S.N. Omkar, and B.S. Narendra
“A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony"
Robotics Systems: Concepts, Methodologies, Tools, and Applications, IGI Global Publishers, Chapter 14, pp. 285 - 303, 2020.
J. Senthilnath, K. Harikumar and S. Suresh
“Efficient resource allocation for decentralized heterogeneous system using density estimation approach"
Robotic Intelligence, World Scientific Press, Part 5, pp. 137-143, 2019 [Video] [Invited Chapter]
S.N. Omkar, D. Mudigere, J. Senthilnath and M.V. Kumar
“Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques”
Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications, IGI Global Publishers, Chapter 16, pp. 257 - 273, 2019
J. Senthilnath, and X.S. Yang
“Multitemporal remote sensing image classification by nature-inspired techniques”
Bio-Inspired Computation and Applications in Image Processing, Elsevier, Chapter 9, pp. 187-219, 2016 [Invited Chapter]
C.S. Arvind, Ashoka Vanjare, S.N. Omkar, J. Senthilnath, V. Mani and P.G. Diwakar
“Multi-temporal Satellite Image Analysis Using Unsupervised Techniques”
Advances in Computing and Information Technology, Advances in Intelligent Systems and Computing, Springer, Vol. 177, pp. 757 – 765, 2013
S.N. Omkar, and J. Senthilnath
“Acoustic emission signal classification using nature inspired techniques”
Theory and Uses of Acoustic Emissions, Nova Science Publishers, Chapter 6, pp. 107 - 148, 2011
S.N. Omkar, and J. Senthilnath
“Neural Network and Swarm Intelligence for Data Mining”
Integration of Swarm Intelligence and Artificial Neural Network, World Scientific Press, Chapter 2, pp. 23-65, 2011
Ph.D Thesis
J. Senthilnath, "Nature inspired optimization techniques for flood assessment and land cover mapping using satellite images," Ph.D. Dissertation. Department of Aerospace Engineering, Indian Institute of Science, Bangalore, defended in September 2014.