[Google Scholar] [ResearchGate] [Scopus-ID] [Researcher-ID] [ORCID]
Publications: Journal papers (68), Conference proceedings (51)
2025
A.P.P. Aung, X. Wang, R. Wang, H. Chan, B. An, X. Li, and J. Senthilnath
“Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models”
IEEE Transactions on Image Processing (T-IP), Vol. 34, 2463-2472, 2025. [Impact Factor 2024: 13.7]
J. Senthilnath, C. Hao, and F.C. Wellstood
“3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images”
Proceedings of the 2025 IEEE International Conference on Image Processing (ICIP'25), accepted.
J. Senthilnath, J. Jayabalan, Z. Lin, A.P.P. Aung, C. Hao, K. Xu, Y.K. Lim, and F.C. Wellstood
“A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy”
Proceedings of the 32nd IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA’25), accepted.
A.P.P. Aung, Z. Lin, R.S. Pahwa, R.I. Made, and J. Senthilnath
“Defect Detection and Localization using 2D Slicing Method on 3D X-ray Microscopy"
AI4X 2025 Conference, pp.1-2
J.A. Rico, N. Raghavan, and J. Senthilnath
“Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation"
Proceedings of the 2025 IEEE International Conference on Prognostics and Health Management (ICPHM’25), pp.1-8.
S. Zang, Z. Cao, B. An, J. Senthilnath, and X. Li
“Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL”
Proceedings of the 24th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’25), pp.2290-2298. [Acceptance rate: 24.48%]
2024
J. Senthilnath, K. Harikumar, and S. Suresh
“Metacognitive Decision-Making Framework for Multi-UAV Target Search Without Communication”
IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCS), Vol. 54(5), 3195-3206, 2024. [Video] [Impact Factor 2024: 8.7]
J. Senthilnath, G. Nagaraj, S.C. Simha, S. Kulkarni, M. Thapa, M. Indiramma, and J.A. Benediktsson
“DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering"
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Vol. 35(2), 2560-2574, 2024. [Impact Factor 2024: 8.9]
M.M. Ferdaus, A.J. Al-Mahasneh, S.G. Anavatti, and J. Senthilnath
“A Compact Meta-Learned Neuro-Fuzzy Technique for Noise-Robust Nonlinear Control”
Applied Soft Computing (ASOC), Elsevier, Vol. 166, 112149, 2024. [Impact Factor 2024: 6.6]
H. Jiang, N. Bhujel, Z. Lin, K-W. Wan, J. Li, J. Senthilnath, and X. Jiang
“Learning Relation in Crowd using Gated Graph Convolutional Networks for DRL-based Robot Navigation"
IEEE Transactions on Intelligent Transportation Systems (T-ITS), Vol. 25(6), 5085-5095, 2024. [Video] [Impact Factor 2024: 8.4]
J.W. Yoon, A. Kumar, P. Kumar, K. Hippalgoankar, J. Senthilnath, and V. Chellappan
“Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers”
Knowledge-Based Systems, Elsevier, Vol. 295, 111812, 2024. [Impact Factor 2024: 7.6]
J. John, K. Harikumar, J. Senthilnath, and S. Suresh
“An Efficient Approach with Dynamic Multiswarm of UAVs for Forest Firefighting”
IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCS), Vol. 54(5), 2860-2871, 2024. [Code] [Impact Factor 2024: 8.7]
M. Rautela, J. Senthilnath, A. Huber and S. Gopalakrishnan
“Towards deep generation of guided wave representations for composite materials”
IEEE Transactions on Artificial Intelligence (T-AI), Vol. 5(3), 1102-1109, 2024. [Data, Code]
Z. Lin, Y. Wu, B. Zhou, Z. Cao, W. Song, Y. Zhang, and J. Senthilnath
“Cross-Problem Learning for Solving Vehicle Routing Problems"
Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), pp.6958-6966 [Code] [Acceptance rate: 13.99%]
I. Solomon, A.P.P. Aung, U. Kumar, and J. Senthilnath
“U-TELL: Unsupervised Task Expert Lifelong Learning”
Proceedings of the 2024 IEEE International Conference on Image Processing (ICIP'24), pp.1057-1063.
A. Singh, and J. Senthilnath
“Robust Representation Learning with Self-Distillation for Domain Generalization”
Proceedings of the 2024 IEEE International Conference on Image Processing (ICIP'24), pp.1179-1185.
J.A. Rico, N. Raghavan, and J. Senthilnath
“Incremental Multistep Forecasting of Battery Degradation Using Pseudo Targets"
Proceedings of the 2024 IEEE Global Reliability and Prognostics and Health Management (PHM’24), pp.718-723.
P. Gokul, K. Harikumar, and J. Senthilnath
“A dynamic area approximation-based stochastic multi-UAV target search with noisy measurements"
Proceedings of the 2024 International Conference on Unmanned Aircraft Systems (ICUAS’24), pp.718-723.
R. Dutta, Q. Wang, A. Singh, D. Kumarjiguda, X. Li, and J. Senthilnath
“Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning”
Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’24), pp.7570-7574.
2023
K. Harikumar, M.M. Ferdaus, Z.W. Ng, B. Zhou, S. Suresh, X. Li, and J. Senthilnath
“PASE: An Autonomous Sequential Framework for the State Estimation of Dynamical Systems”
Expert Systems With Applications (ESWA), Elsevier, Vol. 215, 119414, 2023. [Impact Factor 2024: 7.5]
Z. Lin, S. Zang, R. Wang, Z. Sun, J. Senthilnath, C. Xu, and C.K. Kwoh
“Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation”
IEEE Transactions on Knowledge and Data Engineering (T-KDE), Vol. 35(8), 7782-7795, 2023. [Code] [Impact Factor 2024: 10.4]
R. Dutta, K. Harikumar, J. Senthilnath, X. Li, S. Suresh, and D. Pack
“A Decentralized Learning Strategy to Restore Connectivity during Multi-agent Formation Control”
Neurocomputing, Elsevier, Vol. 520, 33-45, 2023. [Impact Factor 2024: 6.5]
S.I.P. Tian, Z. Ren, S. Venkataraj, Y. Cheng, D. Bash, F. Oviedo, J. Senthilnath, V. Chellappan, Y-F. Lim, A.G. Aberle, B.P. MacLeod, F.G.L. Parlane, C.P. Berlinguette, Q. Li, T. Buonassisi, and Z. Liu
“Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness Characterization from Optical Spectra of Perovskite Thin Films”
Digital Discovery, Royal Society of Chemistry, Vol. 2(5), 1334-1346, 2023. [Impact Factor 2024: 5.6]
Z. Wan, Z. Lin, S. Rashid, S.Y-H. Ng, R. Yin, J. Senthilnath, and C-K Kwoh
“PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction”
Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM'23), pp.49-56. [Acceptance rate: 19.46%]
I. Solomon, U. Kumar, and J. Senthilnath
“Data Generation with Structure Enforcing Adversarial Learning”
Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP'23), pp.2530-2534.
S. Adithya, H. Himanshu, K. Harikumar, and J. Senthilnath
“Acceleration-based PSO for Multi-UAV Source-Seeking"
Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON’23), pp.1-6.
A. Al-Radaideh, R.A. Selje, D. Coraspe, R. Dutta, E. Camci, J. Senthilnath, L. Xiaoli, and L. Sun
“Tethered Multicopter Guidance in GPS-Denied Environments Through Reinforcement Learning”
AIAA SciTech Forum, 2023
B. Zhou, J. Pan, M. Sivan, A.V-Y. Thean, and J. Senthilnath
“Quantile Online Learning for Semiconductor Failure Analysis”
Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’23), pp.1-5.
2022
J. Senthilnath, A. Kumar, A. Jain, K. Harikumar, M. Thapa, S. Suresh, G. Anand, and J.A. Benediktsson
“BS-McL: Bilevel Segmentation Framework With Metacognitive Learning for Detection of the Power Lines in UAV Imagery"
IEEE Transactions on Geoscience and Remote Sensing (T-GRS), Vol. 60, 1-12, 2022. [Video] [Impact Factor 2024: 8.6]
R. Dutta, S.I.P. Tian, Z. Liu, M. Lakshminarayanan, S. Venkataraj, Y. Cheng, D. Bash, V. Chellappan, T. Buonassisi, and J. Senthilnath
“Extracting Film Thickness and Optical Constants from Spectrophotometric Data by Evolutionary Optimization”
PLoS ONE, Vol. 17(11), e0276555, 2022. [Impact Factor 2024: 2.6]
M.M. Ferdaus, B. Zhou, J.W. Yoon, K.L. Low, J. Pan, J. Ghosh, M. Wu, X. Li, A.V.Y. Thean, and J. Senthilnath
“Significance of Activation Functions in Developing an Online Classifier for Semiconductor Defect Detection”
Knowledge-Based Systems, Elsevier, Vol. 248, 108818, 2022. [Code] [Impact Factor 2024: 7.6]
M. Rautela, A. Huber, J. Senthilnath, and S. Gopalakrishnan
“Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion”
Mechanics of Advanced Materials and Structures, Taylor & Francis, Vol. 29(27), 6595-6611, 2022. [Code] [Impact Factor 2024: 0.91]
T. Soni, A. Sharma, R. Dutta, A Dutta, J. Senthilnath, and S. Sarkar
“Capturing functional relations in fluid-structure interaction via machine learning”
Royal Society Open Science (RSOS), Vol. 9(4), 220097, 2022. [Data, Code] [Impact Factor 2024: 2.9]
A.P.P. Aung, J. Senthilnath, X. Li, and B. An
“Planning Sequential Interventions to tackle Depression in Large Uncertain Social Networks using Deep Reinforcement Learning”
Neurocomputing, Elsevier, Vol. 481, 182-192, 2022. [Environment, Code] [Impact Factor 2024: 6.5]
M. Rautela, J. Senthilnath, E. Monaco, and S. Gopalakrishnan
“Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations”
Composite Structures, Elsevier, Vol. 291, 115579, 2022. [Impact Factor 2024: 7.1]
Z. Ren, S.I.P. Tian, J. Noh, F. Oviedo, G. Xing, J. Li, Q. Liang, R. Zhu, A. Aberle, S. Sun, X. Wang, Y. Liu, Q. Li, J. Senthilnath, K. Hippalgaonkar, Y. Jung, and T. Buonassisi
“An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties”
Matter, Cell Press, Vol. 5(1), 314-335, 2022. [Data, Code] [Impact Factor 2024: 17.5]
Y. Guo, X. Zhang, S. Chen, H. Wang, J. Senthilnath, D. Cammarano, and Y. Fu
“Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches”
Remote Sensing, Vol. 14(24), 6290, 2022. [Impact Factor 2024: 4.1]
T. Chakraborty, S. Chattopadhyay, S. Das, U. Kumar, and J. Senthilnath
“Searching for heavy-tailed probability distributions for modeling real-world complex networks"
IEEE Access, Vol. 10, 115092 - 115107, 2022. [Impact Factor 2024: 3.6]
Y. Guo, S. Chen, X. Li, M. Cunha, J. Senthilnath, D. Cammarano, and Y.H. Fu
“Machine Learning‐Based Approaches for Predicting SPAD Values of Maize Using Multi‐Spectral Images”
Remote Sensing, Vol. 14(6), 1337, 2022. [Impact Factor 2024: 4.1]
A.P.P. Aung, X. Wang, R. Yu, B. An, J. Senthilnath, and X. Li
“DO-GAN: A Double Oracle Framework for Generative Adversarial Networks”
Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'22), pp.11275-11284 [Acceptance rate: 25.33%]
I. Solomon, J. Senthilnath, M.M. Ferdaus, and U. Kumar
“Data Oversampling with Structure Preserving Variational Learning”
Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM’22), pp.4490-4494 [Acceptance rate: 29.03%]
L. Zhengguo, Z. Jinghong, and J. Senthilnath
“Simultaneous smoothing and sharpening using iWGIF”
Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP'22), pp.861-865.
T. Dam, M.M. Ferdaus, M. Pratama, S.G. Anavatti, J. Senthilnath, and H.A. Abbass
“Latent Preserving Generative Adversarial Network for Imbalance classification”
Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP'22), pp.3712-3716.
K. Harikumar, R. Dutta, and J. Senthilnath
“Optimal Connectivity during Multi-agent Consensus Dynamics via Model Predictive Control”
Proceedings of the 2022 American Control Conference (ACC'22), pp.5193-5198.
J. Ghosh, S.Y. Lim, M.M. Ferdaus, J. Senthilnath, and A.V.Y. Thean
“A Simulation Approach to Analyze Bridge-Defects in a 6T-SRAM Bit Cell”
Proceedings of the 6th IEEE Electron Devices Technology and Manufacturing (EDTM’22), pp.235-237.
R.A. Selje, A. Al-Radaideh, R. Dutta, J. Senthilnath, L. Xiaoli, and L. Sun
“GPS-Denied Three Dimensional Leader-Follower Formation Control Using Deep Reinforcement Learning”
AIAA SciTech Forum, 2022.
D. Aggarwal, U. Kumar, and J. Senthilnath
“Towards Building a Flexible Online Learning Model for Data Stream Classification”
Proceedings of the 2022 5th Joint International Conference on Data Science and Management of Data (9th ACM IKDD CODS and 27th COMAD), pp.320-321.
2021
J. Senthilnath, S. Kulkarni, S. Suresh, X.S. Yang, and J.A. Benediktsson
“FPA Clust: Evaluation of the Flower Pollination Algorithm for Data Clustering”
Evolutionary Intelligence, Springer, Vol. 14(3), 1189-1199, 2021. [Code] [Impact Factor 2024: 2.6]
A. Tiihonen, S.J. Cox-Vazquez, Q. Liang, M. Ragab, Z. Ren, N.T.P. Hartono, Z. Liu, S. Sun, C. Zhou, N.C. Incandela, J. Limwonguyt, A.S. Moreland, J. Senthilnath, G.C. Bazan, and T. Buonassisi
“Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning”
Journal of the American Chemical Society, ACS Publications, Vol. 143(45), 18917-18931, 2021. [Code] [Impact Factor 2024: 15.6]
F. Mekki-Berrada, Z. Ren, T. Huang, W.K. Wong, F. Zheng, J. Xie, S.I.P. Tian, J. Senthilnath, Z. Mahfoud, D. Bash, K. Hippalgaonkar, S. Khan, T. Buonassisi, Q. Li, and X. Wang
“Two-step machine learning enables optimized nanoparticle synthesis”
npj Computational Materials, Nature Publishing Group, Vol. 7(1), 1-10, 2021. [Data, Code] [Impact Factor 2024: 11.9]
M. Lakshminarayanan, R. Dutta, D.V.M. Repaka, J. Senthilnath, W.L. Leong, and K. Hippalgaonkar
“Comparing data driven and physics inspired models for hopping transport in organic field effect transistors”
Scientific Reports, Nature Publishing Group, Vol. 11(1), 1-8, 2021. [Impact Factor 2024: 3.9]
J. Pan, K.L. Low, J. Ghosh, J. Senthilnath, M.M. Ferdaus, S.Y. Lim, E. Zamburg, Y. Li, B. Tang, X. Wang, J.F. Leong, S. Ramasamy, T. Buonassisi, C.K. Tham, and A.V.Y. Thean
“Transfer Learning-Based Artificial Intelligence-Integrated Physical Modeling to Enable Failure Analysis for 3 Nanometer and Smaller Silicon-Based CMOS Transistors”
ACS Applied Nano Materials, ACS publications, Vol. 4(7), 6903-6915, 2021. [Impact Factor 2024: 5.5]
M. Rautela, J. Senthilnath, J. Moll, and S. Gopalakrishnan
“Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning”
Ultrasonics, Elsevier, Vol. 115, 106451, 2021. [Code] [Impact Factor 2024: 4.1]
Y. Guo, Y. Fu, S. Chen, C.R. Bryant, X. Li, J. Senthilnath, H. Sun, S. Wang, Z. Wu, and K. de Beurs
“Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images”
International Journal of Applied Earth Observation and Geoinformation, Elsevier, Vol. 102, 102435, 2021. [Impact Factor 2024: 8.6]
Y. Guo, S. Chen, Z. Wu, S. Wang, C.R. Bryant, J. Senthilnath, M. Cunha, and Y.H. Fu
“Integrating spectral and textural information for monitoring the growth of pear trees using optical images from the UAV platform”
Remote Sensing, Vol. 13(2), 1795, 2021. [Impact Factor 2024: 4.1]
Y. Guo, Y. Fu, F. Hao, X. Zhang, W. Wu, X. Jin, C.R. Bryant and J. Senthilnath
“Integrated phenology and climate in rice yields prediction using machine learning methods”
Ecological Indicators (ECOLIND), Elsevier, Vol. 120, 106935, 2021. [Impact Factor 2024: 7.4]
T. Dam, M.M. Ferdaus, S.G. Anavatti, J. Senthilnath, and H.A. Abbass
“Does Adversarial Oversampling Help us?”
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21), pp.2970-2973 [Acceptance rate: 28.3%]
M. Rautela, J. Senthilnath, J. Moll, and S. Gopalakrishnan
“Temperature compensation for guided waves using convolutional denoising autoencoders”
Proceedings of the XV SPIE Health Monitoring of Structural and Biological Systems, 2021.
2020
J. Senthilnath, Neelanshi Varia, Akanksha Dokania, G. Anand, and J.A. Benediktsson
“Deep TEC: Deep Transfer learning with Ensemble Classifier for Road Extraction from UAV Imagery”
Remote Sensing, Vol. 12(2), 245, 2020. [Impact Factor 2024: 4.1] Feature paper
K. Harikumar, J. Senthilnath, and S. Suresh
“Mission Aware motion Planning (MAP) Framework with Physical and geographical constraints for a Swarm of Mobile Stations"
IEEE Transaction on Cybernetics (T-CYB), Vol. 50(3), 1209-1219, 2020. [Video] [Impact Factor 2024: 10.5]
Y. Guo, H. Wang, Z. Wu, S. Wang, H. Sun, J. Senthilnath, J. Wang, C.R. Bryant, and Y. Fu
“Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV”
Sensors, Vol. 20(18), 5055, 2020. [Impact Factor 2024: 3.5]
Y. Guo, G. Yin, H. Sun, H. Wang, S. Chen, J. Senthilnath, J. Wang, and Y. Fu
“Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods”
Sensors, Vol. 20(18), 5130, 2020. [Impact Factor 2024: 3.5]
Y. Guo, S. Hu, W. Wu, Y. Wang, and J. Senthilnath
“Multitemporal time series analysis using machine learning models for ground deformation in the Erhai region, China"
Environmental Monitoring and Assessment (EMA), Springer, Vol. 192(7):464, pp. 1 - 16, 2020. [Impact Factor 2024: 3.0]
S.I.P. Tian, Z. Liu, V. Chellappan, Y.F. Lim, Z. Ren, F. Oviedo, B.H. Teo, J. Thapa, R. Dutta, B.P. MacLeod, F.G.L. Parlane, J. Senthilnath, C.P. Berlinguette, and T. Buonassisi
“Rapid and Accurate Thin Film Thickness Extraction via UV-Vis and Machine Learning”
Proceedings of the 47th IEEE Photovoltaic Specialists Conference (PVSC'20), 2020.
2019
J. Senthilnath, P.B. Shreyas, R. Rajendra, S. Suresh, S. Kulkarni, and J.A. Benediktsson
“Hierarchical clustering approaches for flood assessment using multi-sensor satellite images”
International Journal of Image and Data Fusion (IJIDF), Taylor & Francis, Vol. 10(1), pp. 28 - 44, 2019. [Impact Factor 2024: 1.3]
K. Harikumar, J. Senthilnath, and S. Suresh
“Multi-UAV Oxyrrhis Marina-inspired Search and Dynamic Formation Control for Forest Firefighting"
IEEE Transaction on Automation Science and Engineering (T-ASE), Vol. 16(2), pp. 863 - 873, 2019. [Video] [Impact Factor 2024: 6.4]
S. Samanta, S. Suresh, J. Senthilnath, and N. Sundararajan
“A New Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for System Identification and Time Series Forecasting"
Applied Soft Computing (ASOC), Elsevier, Vol. 82, 105567, 2019. [Impact Factor 2024: 6.6]
Y. Guo, J. Senthilnath, W. Wu, X. Zhang, Z. Zeng, and H. Huang
“Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform"
Sustainability, Vol. 11(4), 978, 2019. [Impact Factor 2024: 3.3]
C.S. Arvind, and J. Senthilnath
"Autonomous RL: Autonomous Vehicle Obstacle Avoidance in a Dynamic Environment Using MLP-SARSA Reinforcement Learning”
Proceedings of the 5th IEEE International Conference on Mechatronics Systems and Robots (ICMSR'19), 2019. [Video]
2018
J. Senthilnath, S.C. Sumanth, G. Nagaraj, M. Thapa and M. Indiramma
“BELMKN: Bayesian Extreme Learning Machines Kohonen Network"
Algorithms, Vol. 11(5), pp. 1 - 12, 2018. [Impact Factor 2024: 2.1]
X. Zhang, J. Senthilnath, L. Liu, M.A. Friedl, G.M. Henebry, Y. Liu, C. Schaaf, A. Richardson, and J.M. Gray
“Evaluation of Land Surface Phenology from VIIRS Data using Time Series of PhenoCam Imagery"
Agricultural and Forest Meteorology (AGRFORMET), Elsevier, Vol. 256-257, pp. 137 - 149, 2018. [Impact Factor 2024: 5.7]
X. Zhang, L. Liu, Y. Liu, J. Senthilnath, J. Wang, M. Moon, G.M. Henebry, M.A. Friedl and C. Schaaf
“Generation and Evaluation of the VIIRS Land Surface Phenology Product"
Remote Sensing of Environment (RSE), Elsevier, Vol. 216, pp. 212 – 229, 2018. [Impact Factor 2024: 11.4]
R. Bhola, N.H. Krishna, K.N. Ramesh, J. Senthilnath, and G. Anand
“Detection of the power lines in UAV remote sensed images using spectral-spatial methods"
Journal of Environmental Management (JEMA), Elsevier, Vol. 206, pp. 1233 - 1242, 2018. [Impact Factor 2024: 8.4]
K. Harikumar, J. Senthilnath, and S. Suresh
“Multi-agent consensus under communication failure using Actor-Critic Reinforcement Learning”
Proceedings of the 9th IEEE Symposium Series on Computational Intelligence (SSCI'18), pp.1461-1465
S. Kulkarni, J. Senthilnath, and J.A. Benediktsson
“Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms”
Proceedings of the 9th IEEE Symposium Series on Computational Intelligence (SSCI'18), pp.1664-1669
A. Dokania, N. Varia, and J. Senthilnath
“EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images”
Proceedings of the 9th IEEE Symposium Series on Computational Intelligence (SSCI'18), pp.1896-1901
N. Varia, A. Dokania, and J. Senthilnath
“DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV”
Proceedings of the 9th IEEE Symposium Series on Computational Intelligence (SSCI'18), pp.1890-1895
C.S. Arvind, and J. Senthilnath
“Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning”
Proceedings of the 8th International Conference on Soft Computing for Problem Solving (SocProS'18), pp.55 – 66 [Video] Best Paper Award
J. Senthilnath, K. Harikumar, and S. Suresh
“Dynamic Area Coverage for Multi-UAV using Distributed UGVs: A Two-Stage Density Estimation Approach”
Proceedings of the 2nd IEEE International Conference on Robotic Computing (IRC'18), pp.165-166. [Video]
2017
J. Senthilnath, M. Kandukuri, A. Dokania, and K.N. Ramesh
“Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods”
Computers and Electronics in Agriculture (COMPAG), Elsevier, Vol. 140, pp. 8 - 24, 2017. [Impact Factor 2024: 8.9]
X. Zhang, J. Wang, F. Gao, Y. Liu, C. Schaaf, M.A. Friedl, Y. Yu, J. Senthilnath, J.M. Gray, L. Liu, D. Yan, and G.M. Henebry
“Exploration of scaling effects on coarse resolution land surface phenology"
Remote Sensing of Environment (RSE), Elsevier, Vol. 190, pp. 318 – 330, 2017. [Impact Factor 2024: 11.4]
K.K. Rai, A. Rai, K. Dhar, J. Senthilnath, S.N. Omkar, and Ramesh K.N.
“SIFT-FANN: An efficient framework for spatio-spectral fusion of satellite images"
Journal of the Indian Society of Remote Sensing (JISRS), Springer, Vol. 45(1), pp. 55 - 65, 2017. [Impact Factor 2024: 2.2]
S. Parashar, J. Senthilnath, and X.S. Yang
“A Novel Bat Algorithm Fuzzy Classifier Approach for Classification Problems”
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Inderscience, Vol. 6(2), pp. 108 - 128, 2017
2016
J. Senthilnath, S. Kulkarni, J.A. Benediktsson, and X.S. Yang
“A Novel Approach for Multispectral Satellite Image Classification based on the Bat Algorithm”
IEEE Geoscience and Remote Sensing Letters (GRSL), Vol. 13(4), pp. 599 - 603, 2016. [Code] [Impact Factor 2024: 4.4]
J. Senthilnath, D. Kumar, J.A. Benediktsson and X. Zhang
“A Novel Hierarchical Clustering Technique Based on Splitting and Merging”
International Journal of Image and Data Fusion (IJIDF), Taylor & Francis, Vol. 7(1), pp. 19 - 41, 2016. [Impact Factor 2024: 1.3] Best Paper Award
J. Senthilnath, A. Dokania, M. Kandukuri, K.N. Ramesh, G. Anand and S.N. Omkar
“Detection of Tomatoes using Spectral-Spatial methods in Remotely Sensed RGB Images Captured by UAV”
Biosystems Engineering (YBENG), Elsevier, Vol. 146, pp. 16 - 32, 2016. [Impact Factor 2024: 5.3]
J. Senthilnath, S. Kulkarni, D.R. Raghuram, M. Sudhindrar, S.N. Omkar, V. Das, and V. Mani
“A Novel Harmony Search Based Approach for Clustering Problems”
International Journal of Swarm Intelligence (IJSI), Inderscience, Vol. 2(1), pp. 66 - 86, 2016 [Code]
C.S. Arvind, A. Vanjare, S.N. Omkar, J. Senthilnath, V. Mani, and P.G. Diwakar
"Flood Assessment using Multi-temporal MODIS Satellite Images”
Proceedings of the Twelfth International Conference on Image and Signal Processing (ICISP'16), pp.575-586. Best Paper Award
2015
J. Senthilnath, R. Prasad, R. Rajendra, P.B. Shreyas, S.N. Omkar, and V. Mani
“Multi-sensor satellite remote sensing images for flood assessment using swarm intelligence”
Proceedings of the IEEE International Conference on Cognitive Computing and Information Processing (CCIP'15), pp.1-5.
K.N. Ramesh, A.S. Murthy, J. Senthilnath, and S.N. Omkar
“Automatic detection of power lines in UAV remote sensed images”
Proceedings of the 2nd IEEE International Conference on Condition Assessment Techniques in Electrical Systems (CATCON’15), pp.17-21.
2014
J. Senthilnath, N.P. Kalro, and J.A. Benediktsson
“Accurate Point Matching Based on Multi-objective Genetic Algorithm for Multi-sensor Satellite Imagery”
Applied Mathematics and Computation (AMC), Elsevier, Vol. 236, pp. 546 - 564, 2014. [Impact Factor 2024: 3.4]
J. Senthilnath, X.S. Yang, and J.A. Benediktsson
“Automatic Registration of Multi-Temporal Remote Sensing Images Based on Nature Inspired Techniques”
International Journal of Image and Data Fusion (IJIDF), Taylor & Francis, Vol. 5(4), pp. 263 - 284, 2014. [Impact Factor 2024: 1.3]
J. Senthilnath, S. Sindhu, and S.N. Omkar
“GPU-based normalized cuts for road extraction using satellite imagery"
Journal of Earth System Science (JESS), Springer, Vol. 123(8), pp. 1759 - 1769, 2014. [Impact Factor 2024: 1.7]
J. Senthilnath, and R. Prasad
“A new SIFT matching criteria in a genetic algorithm framework for registering multisensory satellite imagery”
Proceedings of the 9th ACM Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'14), pp.1-6 [Acceptance Rate: 26%]
2013
J. Senthilnath, S.N. Omkar, V. Mani, and T. Karthikeyan
"Multiobjective Discrete Particle Swarm Optimization for Multisensor Image Alignment"
IEEE Geoscience and Remote Sensing Letters (GRSL), Vol. 10(5), pp. 1095 - 1099, 2013. [Impact Factor 2024: 4.4]
J. Senthilnath, S.N. Omkar, V. Mani, N. Karnwal, and P.B. Shreyas
"Crop Stage Classification of Hyperspectral Data using Unsupervised Techniques"
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 6(2), pp. 861 - 866, 2013. [Impact Factor 2024: 5.3]
J. Senthilnath, S.N. Omkar, V. Mani, and P.G. Diwakar
“Multi-temporal Satellite Imagery for Flood Damage Assessment”
Journal of the Indian Institute of Science (J-IISc), Springer, Vol. 93(1), pp. 105 - 116, 2013. [Impact Factor 2024: 2.3]
J. Senthilnath, H.V. Shenoy, R. Rajendra, S.N. Omkar, V. Mani, and P.G. Diwakar
“Integration of speckle de-noising and image segmentation using Synthetic Aperture Radar image for flood extent extraction”
Journal of Earth System Science (JESS), Springer, Vol. 122(3), pp. 559 - 572, 2013 [Impact Factor 2024: 1.7]
J. Senthilnath, S.N. Omkar, V. Mani, and A.R. Katti
“Cooperative Communication of UAV to perform multi-task using Nature Inspired Techniques”
Proceedings of the 4th IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA'13), pp.45-50.
J. Senthilnath, A. Raj, S.N. Omkar, V. Mani, and D. Kumar
“Quasi-Based Hierarchical Clustering for Land Cover Mapping Using Satellite Images”
Proceedings of the 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA'12), pp.53-64.
J. Senthilnath, V. Shenoy H, S.N. Omkar, and V. Mani
“Spectral-spatial MODIS image analysis using Swarm intelligence algorithms and region based segmentation for flood assessment”
Proceedings of the 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA'12), pp.163-174.
J. Senthilnath, V. Das, S.N. Omkar, and V. Mani
“Clustering using Levy Flight Cuckoo Search”
Proceedings of the 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA'12), pp.65-75.
S. N.Omkar, N. Ramaswamy, R. Ananda, Venkatesh N.G., and J. Senthilnath
“An Optimal Fuzzy Logic Controller tuned with Artificial Immune System”
Proceedings of the 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA'12), pp.507-518.
2012
J. Senthilnath, S.N. Omkar, V. Mani, N. Tejovanth, P.G. Diwakar, and B.A. Shenoy
“Hierarchical Clustering Algorithm for Land Cover Mapping using Satellite Images”
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 5(3), pp. 762 - 768, 2012. [Impact Factor 2024: 5.3]
J. Senthilnath, S. Bajpai, S.N. Omkar, P.G. Diwakar and V. Mani
“An approach to multi-temporal MODIS image analysis using image classification and segmentation”
Advances in Space Research (ASR), Elsevier, Vol. 50(9), pp. 1274 - 1287, 2012. [Impact Factor 2024: 2.8]
D. Craig, S.N. Omkar, and J. Senthilnath
“Pickup and delivery problem using metaheuristics”
Expert Systems with Applications (ESWA), Elsevier, Vol. 39(1), pp. 328 - 334, 2012. [Impact Factor 2024: 7.5]
J. Senthilnath, S.N. Omkar, V. Mani, N.P. Kalro and P.G. Diwakar
“Multi-objective genetic algorithm for efficient point matching in multi-sensor satellite image”
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'12), pp.1761-1764 [Acceptance rate: 30.5%]
J. Senthilnath, Shreyas P.B, Ritwik Rajendra, S.N. Omkar, V. Mani, and P.G. Diwakar
“Multi-Sensor Satellite Image Analysis using Niche Genetic Algorithm for Flood Assessment”
Proceedings of the 3rd International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO'12), pp.49-56.
J. Senthilnath, S.N. Omkar, V. Mani, Ashoka Vanjare, and P.G. Diwakar
“Multi-Temporal Satellite Image Analysis Using Gene Expression Programming”
Proceedings of the 2nd International Conference on Soft Computing for Problem Solving (SocProS'12), pp.1039 – 1045.
Nikhil Goel, J. Senthilnath, S.N. Omkar, and V. Mani
“Location Management in Mobile Computing using Swarm Intelligence Techniques”
Proceedings of the 2nd International Conference on Soft Computing for Problem Solving (SocProS'12), pp.481 – 489.
S.N. Omkar, N. Ramaswamy, J. Senthilnath, S. Bharath and N.S. Anuradha
“Gene Expression Programming-Fuzzy Logic Method For Crop Type Classification”
Proceedings of the 6th International conference on Genetic and Evolutionary Computing (ICGEC'12), 2012
2011
J. Senthilnath, S.N. Omkar, and V. Mani
“Clustering using firefly algorithm: performance study”
Swarm and Evolutionary Computation (SWEVO), Elsevier, Vol. 1(3), pp.164 - 171, 2011 [Impact Factor 2024: 8.5] >600 Citations
S.N. Omkar, J. Senthilnath, R. Khandelwal, G.N. Naik, and S. Gopalakrishnan
“Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures”
Applied Soft Computing (ASOC), Elsevier, Vol. 11(1), pp. 489 - 499, 2011 [Impact Factor 2024: 6.6]
J. Senthilnath, S.N. Omkar, V. Mani, N. Tejovanth, P.G. Diwakar, and B.A. Shenoy
“Multi-Spectral Satellite Image Classification using Glowworm Swarm Optimization”
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), pp.47-50
J. Senthilnath, S.N. Omkar, V. Mani, and T. Karthikeyan
“Multi-objective optimization of satellite image registration using discrete particle swarm optimisation”
Proceedings of the 2011 Annal IEEE India Conference: Engineering Sustainable Solutions, pp.1-5.
J. Senthilnath, S.N. Omkar, V. Mani, and N. Karnwal
“Hierarchical artificial immune system for crop stage classification”
Proceedings of the 2011 Annal IEEE India Conference: Engineering Sustainable Solutions, pp.1-4
M. Rajeswari, K.S. Gurumurthy, S.N. Omkar, J. Senthilnath, and L.P. Reddy
”Automatic Road Extraction using High Resolution Satellite Images based on Level Set and Mean Shift Methods”
Proceedings of the 3rd IEEE International Conference on Electronics Computer Technology (ICECT'11), pp.424-428
≤ 2010
J. Senthilnath, M. Rajeswari, and S.N. Omkar
“Automatic road extraction using high resolution satellite image based on texture progressive analysis and normalized cut method”
Journal of the Indian Society of Remote Sensing (JISRS), Springer, Vol. 37(3), pp. 351 - 361, 2009 [Impact Factor 2024: 2.2] Best Paper Award
S.N. Omkar, J. Senthilnath, and S. Suresh
“Mathematical model and rule extraction for tool wear monitoring problem using nature inspired techniques”
Indian Journal of Engineering & Material Sciences (IJEMS), CSIR-NISCAIR, Vol. 16, pp. 205 - 210, 2009 [Impact Factor 2024: 0.6]
S.N. Omkar, J. Senthilnath, D. Mudigere, and M. Manoj Kumar
“Crop classification using biologically inspired techniques with high resolution satellite image”
Journal of the Indian Society of Remote Sensing (JISRS), Springer, Vol. 36(2), pp. 172 - 182, 2008 [Impact Factor 2024: 2.2]
Others
Workshop papers (1)
D. Aggarwal, J. Senthilnath, U. Kumar, V. Yadav, S. Kulkarni, M.M. Ferdaus, and L. Xiaoli
“SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification”
Proceedings of the International Conference on Data Mining Workshop on IncrLearn (ICDMW'21), 2021.
Presentations only (8)
L.K. Loch, Y. Hong, Z. Lin, J. Senthilnath, B. Zhou, and J.W. Yoon
“Analysis of error distribution in catalyst-adsorbate binding energies generated by GNN”
Singapore Science and Engineering Fair (SSEF'23) 2023.
J.W. Yoon, A. Kumar, P. Kumar, K. Hippalgoankar, J. Senthilnath, and V. Chellappan
“Enabling high-throughput electrical conductivity optimization of doped conjugated polymers using explainable machine learning”
International Conference on Materials for Humanity (MH'22), 2022
X. Zhang, J. Senthilnath, J. Wang, G.M. Henebry, J.M. Gray, M.A. Friedl, Y. Liu, C. Schaaf, and A. Shuai
“Validation of VIIRS Land Surface Phenology using Field Observations, PhenoCam Imagery, and Landsat data”
Fall Meeting, American Geophysical Union (AGU'16), 2016
X. Zhang, M.A. Friedl, G.M. Henebry, J. Senthilnath, J.M. Gray, Y. Liu, C. Schaaf, and J. Wang
“Development and Validation of a Land Surface Phenology Product from VIIRS”
NASA MODIS/VIIRS Science Team Meeting (STM'16), 2016.
X. Zhang, M.A. Friedl, G.M. Henebry, J. Senthilnath, J.M. Gray, Y. Liu, C. Schaaf, and J. Wang
“Validation of VIIRS Land Surface Phenology Using PhenoCam and Landsat Data”
NASA MODIS/VIIRS Science Team Meeting, 2016 (Poster)
X. Zhang, M.A. Friedl, G.M. Henebry, J. Senthilnath, J.M. Gray, C. Schaaf, and Y. Liu
“Comparison of Land Surface Phenology Retrieved from MODIS and VIIRS Data”
NASA MODIS/VIIRS Science Team Meeting, 2015
S.N. Omkar, J. Senthilnath, and M. Rajeswari
“Automatic road extraction using high-resolution satellite images based on level set evolution without re-initialization”
XXVIII INCA International Congress on Collaborative Mapping and Space Technology (INCA'08), 2008
S.N. Omkar, J. Senthilnath, K. Abhinandan, V.V. Acharya, and P. G. Diwakar
“Assessment of flood-prone region using high-resolution satellite images”
XXVIII INCA International Congress on Collaborative Mapping and Space Technology (INCA'08), 2008. Best Presentation Award