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Generative AI: generative continual learning, invertible generative model, generative oversampling, generative domain adaptation
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, T. Buonassisi
Matter, Cell Press 2022
Towards deep generation of guided wave representations for composite materials
M. Rautela, J. Senthilnath, A. Huber, S. Gopalakrishnan
IEEE T-AI 2024
Does Adversarial Oversampling Help us?
T. Dam*, M.M. Ferdaus, S.G. Anavatti, J. Senthilnath, H.A. Abbass
CIKM 2021 [Acceptance rate: 177/626=28.3%]
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
A.P.P. Aung, X. Wang, R. Yu, B. An, J. Senthilnath, X. Li
CVPR 2022
Sustainable AI: model compression, evolving online learning, metacognitive learning, online transfer learning,
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
J. Senthilnath, G. Nagaraj, S.C. Simha, S. Kulkarni, M. Thapa, M. Indiramma, J.A. Benediktsson
IEEE T-NNLS, 2024
J. Senthilnath, A. Kumar, A. Jain, K. Harikumar, M. Thapa, S. Suresh, G. Anand, J.A. Benediktsson
IEEE T-GRS 2022
M.M. Ferdaus, B. Zhou, J.W. Yoon, K.L. Low, J. Pan, J. Ghosh, M. Wu, X. Li, A.V.Y. Thean, J. Senthilnath
Knowledge-Based Systems, Elsevier 2022
Optimization: metaheuristic optimization, stochastic optimization, Bayesian optimization, multi-objective optimization, learn-to-optimize (transformer, reinforcement learning: Q-Network, SARSA, DRL-PSO, interpretable RL).
R. Dutta, S.I.P. Tian, Z. Liu, M. Lakshminarayanan, S. Venkataraj, Y. Cheng, D. Bash, V. Chellappan, T. Buonassisi, J. Senthilnath
PLoS ONE 2022
A.P.P. Aung, J. Senthilnath, X. Li, B. An
Neurocomputing, Elsevier 2022
Multi-agent AI: multi-agent optimization (stochastic, metaheuristic, game theory, team theory), multi-agent learning (online learning, reinforcement learning)
Metacognitive Decision-Making Framework for Multi-UAV Target Search Without Communication
J. Senthilnath, K. Harikumar, S. Suresh
IEEE T-SMCS 2024
K. Harikumar, J. Senthilnath, S. Suresh
IEEE T-CYB 2020
Ongoing Projects:
Machine Learning guided failure analysis & diagnostic capability development for next generation 3D-IC Packaging (ML-3D-IC), A*STAR Industry Alignment Fund - Pre-Positioning Programme (IAF-PP), 2023-2026 (3 years)
WP 1: ML-guided Magnetic Field Imagery for failure analysis, Role: Co-Principal Investigator (Co-PI)
Completed Projects:
Accelerated materials development for manufacturing (AMDM), A*STAR Programmatic Grant, 2018-2024 (5.5 years)
WP 1: Core of accelerated materials development, Role: Co-Principal Investigator (Co-PI)
WP 2: ML-guided failure identification in advanced nanoscale semiconductors, Role: Co-Principal Investigator (Co-PI)
NASA Research Opportunities in Space and Earth Sciences (ROSES), Postdoctoral Fellowship (2015-2016)
Publications [Google Scholar] [ResearchGate] [Scopus-ID] [Researcher-ID] [ORCID]
Preprints
J.V. Pushpangathan#, H. Kandath, R. Dutta, R. Bardhan, and J. Senthilnath
“Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies”
arXiv:2202.06261 (2022)
Journal Papers (65)
J. Senthilnath, K. Harikumar, S. Suresh, “Metacognitive Decision-Making Framework for Multi-UAV Target Search Without Communication,” IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCS), 2024, accepted. [Impact Factor: 8.7]
J. John, K. Harikumar J. Senthilnath, S. Suresh, “An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting,” IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMC), 2024, accepted. [Impact Factor: 8.7]
H. Jiang, N. Bhujel, Z. Lin, K-W. Wan, J. Li, J. Senthilnath, X. Jiang, “Learning Relation in Crowd using Gated Graph Convolutional Networks for DRL-based Robot Navigation,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), accepted. [Video] [Impact Factor 2022: 8.5]
J. Senthilnath, G. Nagaraj, S.C. Simha, S. Kulkarni, M. Thapa, M. Indiramma, 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 2022: 10.4]
M. Rautela, J. Senthilnath, A. Huber, 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]
K. Harikumar, M.M. Ferdaus, Z.W. Ng, B. Zhou, S. Suresh, X. Li, J. Senthilnath, “PASE: An Autonomous Sequential Framework for the State Estimation of Dynamical Systems,” Expert Systems With Applications, Elsevier, Vol. 215, 119414, 2023. [Impact Factor 2022: 8.5]
R. Dutta, K. Harikumar, J. Senthilnath, X. Li, S. Suresh, D. Pack, “A Decentralized Learning Strategy to Restore Connectivity during Multi-agent Formation Control,” Neurocomputing, Elsevier, Vol. 520, 33-45, 2023. [Impact Factor 2022: 6.0]
Z. Lin, S. Zang, R. Wang, Z. Sun, J. Senthilnath, C. Xu, 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. [Impact Factor 2022: 8.9]
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, 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.
J. Senthilnath, A. Kumar, A. Jain, K. Harikumar, M. Thapa, S. Suresh, G. Anand, 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 2022: 8.2]
R. Dutta, S.I.P. Tian, Z. Liu, M. Lakshminarayanan, S. Venkataraj, Y. Cheng, D. Bash, V. Chellappan, T. Buonassisi, J. Senthilnath, “Extracting Film Thickness and Optical Constants from Spectrophotometric Data by Evolutionary Optimization,” PLoS ONE, Vol. 17(11), e0276555, 2022. [Impact Factor 2022: 3.7]
M.M. Ferdaus, B. Zhou, J.W. Yoon, K.L. Low, J. Pan, J. Ghosh, M. Wu, X. Li, A.V.Y. Thean, 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 2022: 8.8]
M. Rautela, A. Huber, J. Senthilnath, 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 2022: 2.8]
T. Soni, A. Sharma, R. Dutta, A Dutta, J. Senthilnath, S. Sarkar, “Capturing functional relations in fluid-structure interaction via machine learning,” Royal Society Open Science, Vol. 9(4), 220097, 2022. [Data, Code] [Impact Factor 2022: 3.5]
A.P.P. Aung, J. Senthilnath, X. Li, 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 2022: 6.0]
M. Rautela, J. Senthilnath, E. Monaco, 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 2022: 6.3]
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, 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 2022: 18.9]
Y. Guo, X. Zhang, S. Chen, H. Wang, J. Senthilnath, D. Cammarano, 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 2022: 5.0]
T. Chakraborty, S. Chattopadhyay, S. Das, U. Kumar, J. Senthilnath, “Searching for heavy-tailed probability distributions for modeling real-world complex networks," IEEE Access, Vol. 10, 115092 - 115107, 2022. [Impact Factor 2022: 3.9]
Y. Guo, S. Chen, X. Li, M. Cunha, J. Senthilnath, D. Cammarano, 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 2022: 5.0]
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, 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 2022: 15.0]
M. Lakshminarayanan, R. Dutta, D.V.M. Repaka, J. Senthilnath, W.L. Leong, 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 2022: 4.6]
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, 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 2022: 9.7]
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, 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 2022: 5.9]
M. Rautela, J. Senthilnath, J. Moll, 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 2022: 4.2]
Y. Guo, Y. Fu, S. Chen, C.R. Bryant, X. Li, J. Senthilnath, H. Sun, S. Wang, Z. Wu 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 2022: 7.5]
Y. Guo, Y. Fu, F. Hao, X. Zhang, W. Wu, X. Jin, C.R. Bryant, J. Senthilnath, “Integrated phenology and climate in rice yields prediction using machine learning methods,”Ecological Indicators (ECOLIND), Elsevier, Vol. 120, 106935, 2021. [Impact Factor 2022: 6.9]
Y. Guo, S. Chen, Z. Wu, S. Wang, C.R. Bryant, J. Senthilnath, M. Cunha, 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 2022: 5.0]
J. Senthilnath, S. Kulkarni, S. Suresh, X.S. Yang, 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 2022: 2.6]
K. Harikumar, J. Senthilnath, 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 2022: 11.8]
Y. Guo, S. Hu, W. Wu, Y. Wang, 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 2022: 3.0]
J. Senthilnath, Neelanshi Varia, Akanksha Dokania, G. Anand, 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 2022: 5.0] Feature paper
Y. Guo, H. Wang, Z. Wu, S. Wang, H. Sun, J. Senthilnath, J. Wang, C.R. Bryant, 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 2022: 3.9]
Y. Guo, G. Yin, H. Sun, H. Wang, S. Chen, J. Senthilnath, J. Wang, 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 2022: 3.9]
K. Harikumar, J. Senthilnath, 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 2022: 5.6]
S. Samanta, S. Suresh, J. Senthilnath, N. Sundararajan, “A New Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for System Identification and Time Series Forecasting," Applied Soft Computing (ASOC-J), Elsevier, Vol. 82, 105567, 2019. [Impact Factor 2022: 8.7]
J. Senthilnath, P.B. Shreyas, R. Rajendra, S. Suresh, S. Kulkarni, 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 2022: 2.3]
Y. Guo, J. Senthilnath, W. Wu, X. Zhang, Z. Zeng, H. Huang, “Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform," Sustainability, Vol. 11(4), 978, 2019. [Impact Factor 2022: 3.9]
X. Zhang, L. Liu, Y. Liu, J. Senthilnath, J. Wang, M. Moon, G.M. Henebry, M.A. Friedl, C. Schaaf, “Generation and Evaluation of the VIIRS Land Surface Phenology Product," Remote Sensing of Environment (J.RSE), Elsevier, Vol. 216, pp. 212 – 229, 2018. [Impact Factor 2022: 13.5]
R. Bhola, N.H. Krishna, K.N. Ramesh, J. Senthilnath, 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 2022: 8.7]
J. Senthilnath, S.C. Sumanth, G. Nagaraj, M. Thapa, M. Indiramma, “BELMKN: Bayesian Extreme Learning Machines Kohonen Network," Algorithms, Vol. 11(5), pp. 1 - 12, 2018. [Impact Factor 2022: 2.3]
X. Zhang, J. Senthilnath, L. Liu, M.A. Friedl, G.M. Henebry, Y. Liu, C. Schaaf, A. Richardson, 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 2022: 6.2]
J. Senthilnath, M. Kandukuri, A. Dokania, 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 2022: 8.3]
X. Zhang, J. Wang, F. Gao, Y. Liu, C. Schaaf, M.A. Friedl, Y. Yu, J. Senthilnath, J.M. Gray, L. Liu, D. Yan, G.M. Henebry, “Exploration of scaling effects on coarse resolution land surface phenology," Remote Sensing of Environment (J.RSE), Elsevier, Vol. 190, pp. 318 – 330, 2017. [Impact Factor 2022: 13.5]
K.K. Rai, A. Rai, K. Dhar, J. Senthilnath, S.N. Omkar, 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 2022: 2.5]
S. Parashar, J. Senthilnath, 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
J. Senthilnath, S. Kulkarni, J.A. Benediktsson, 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 2022: 4.8]
J. Senthilnath, D. Kumar, J.A. Benediktsson, 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 2022: 2.3] Best Paper Award
J. Senthilnath, A. Dokania, M. Kandukuri, K.N. Ramesh, G. Anand, 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 2022: 5.1]
R. Khandelwal, J. Senthilnath, S.N. Omkar, B.S. Narendra, “A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global Publishers, Vol. 7(4), pp. 1 - 17, 2016. [Impact Factor 2022: 0.7]
J. Senthilnath, S. Kulkarni, D.R. Raghuram, M. Sudhindrar, S.N. Omkar, V. Das, 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]
S.N. Omkar, D. Mudigere, J. Senthilnath, M.V. Kumar, “Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques,” International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global Publishers, Vol. 6(3), pp. 38 - 52, 2015. [Impact Factor 2022: 0.7]
J. Senthilnath, N.P. Kalro, J.A. Benediktsson, “Accurate Point Matching Based on Multi-objective Genetic Algorithm for Multi-sensor Satellite Imagery,” Applied Mathematics and Computation (AMC-J), Elsevier, Vol. 236, pp. 546 - 564, 2014. [Impact Factor 2022: 4.0]
J. Senthilnath, X.S. Yang, 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 2022: 2.3]
J. Senthilnath, S. Sindhu, 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 2022: 1.9]
A. Vanjare, S.N. Omkar, J. Senthilnath, “Satellite Image Processing for Land Use and Land Cover Mapping,” International Journal of Image, Graphics and Signal Processing (IJIGSP), MECS, Vol. 6(10), pp. 18 – 28, 2014
J. Senthilnath, N. Karnwal, D.S. Teja, “Crop type classification based on clonal selection algorithm for high resolution satellite image,” International Journal of Image, Graphics and Signal Processing (IJIGSP), MECS, Vol. 6(9), pp. 11 – 19, 2014
J. Senthilnath, S.N. Omkar, V. Mani, 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 2022: 4.8]
J. Senthilnath, S.N. Omkar, V. Mani, N. Karnwal, 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 2022: 5.5]
J. Senthilnath, S.N. Omkar, V. Mani, 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 2022: 2.3]
J. Senthilnath, H.V. Shenoy, R. Rajendra, S.N. Omkar, V. Mani, 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 2022: 1.9]
J. Senthilnath, S.N. Omkar, V. Mani, N. Tejovanth, P.G. Diwakar, 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 2022: 5.5]
D. Craig, S.N. Omkar, J. Senthilnath, “Pickup and delivery problem using metaheuristics,” Expert Systems with Applications (ESWA), Elsevier, Vol. 39(1), pp. 328 - 334, 2012. [Impact Factor 2022: 8.5]
J. Senthilnath, S. Bajpai, S.N. Omkar, P.G. Diwakar, V. Mani, “An approach to multi-temporal MODIS image analysis using image classification and segmentation,” Advances in Space Research (ASR-J), Elsevier, Vol. 50(9), pp. 1274 - 1287, 2012. [Impact Factor 2022: 2.6]
J. Senthilnath, S.N. Omkar, V. Mani, “Clustering using firefly algorithm: performance study,” Swarm and Evolutionary Computation (SWEVO), Elsevier, Vol. 1(3), pp.164 - 171, 2011. [Impact Factor 2022: 10.0] >600 Citations
S.N. Omkar, J. Senthilnath, R. Khandelwal, G.N. Naik, S. Gopalakrishnan, “Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures,” Applied Soft Computing (ASOC-J), Elsevier, Vol. 11(1), pp. 489 - 499, 2011. [Impact Factor 2022: 8.7] >350 Citations
J. Senthilnath, M. Rajeswari, 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 2022: 2.5] Best Paper Award
S.N. Omkar, V. Sivaranjani, J. Senthilnath, S. Mukherjee, “Dimensionality Reduction and Classification of Hyperspectral Data,” International Journal of Aerospace Innovations (IJAI), Multi-Science, Vol. 2(3), pp. 157 - 163, 2010
S.N. Omkar, J. Senthilnath, “Artificial Bee Colony for Classification of Acoustic Emission Signal Sources,”International Journal of Aerospace Innovations (IJAI), Multi-Science, Vol. 1(3), pp. 129 - 143, 2009
S.N. Omkar, J. Senthilnath, 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 2022: 0.9]
S.N. Omkar, J. Senthilnath, D. Mudigere, 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 2022: 2.5]
Conference Papers (47)
M. Rautela, S. Gopalakrishnan, J. Senthilnath, “Bayesian optimized physics-informed neural network for estimating wave propagation velocities,” Proceedings of the 2024 IEEE Conference on Artificial Intelligence (CAI’24), accepted.
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), accepted.
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), accepted.Z. Lin, Y. Wu, B. Zhou, Z. Cao, W. Song, Y. Zhang, 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. [Acceptance rate: 791/5651=13.99%]
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. [Acceptance rate: 198/312=63.5%]
R. Dutta, Q. Wang, A. Singh, D. Kumarjiguda, X. Li, 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. [Acceptance rate: 2608/5796=45%]
Z. Wan, Z. Lin, S. Rashid, S.Y-H. Ng, R. Yin, J. Senthilnath, 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: 211/1084=19.46%]
S. Adithya, H. Himanshu, K. Harikumar, J. Senthilnath, “Acceleration-based PSO for Multi-UAV Source-Seeking,” Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society (IECON’23), pp.1-6.
I. Solomon, U. Kumar, J. Senthilnath, “Data Generation with Structure Enforcing Adversarial Learning,” Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP'23), pp.2530-2534 [Acceptance rate: 732/1647=44.4%].
B. Zhou, J. Pan, M. Sivan, A.V-Y. Thean, 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.
A. Al-Radaideh, R.A. Selje, D. Coraspe, R. Dutta, E. Camci, J. Senthilnath, X. Li, L. Sun, “Tethered Multicopter Guidance in GPS-Denied Environments Through Reinforcement Learning,” AIAA SciTech Forum, 2023.
A.P.P. Aung, X. Wang, R. Yu, B. An, J. Senthilnath, 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: 2067/8161=25.33%].
I. Solomon, J. Senthilnath, M.M. Ferdaus, 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: 196/675=29.04%].
L. Zhengguo, Z. Jinghong, J. Senthilnath, “Simultaneous smoothing and sharpening using iWGIF,” Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP'22), pp.861-865 [Acceptance rate: 863/1957=44.1%].
T. Dam, M.M. Ferdaus, M. Pratama, S.G. Anavatti, J. Senthilnath, 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 [Acceptance rate: 863/1957=44.1%].
D. Aggarwal, U. Kumar, 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 [Acceptance rate = 40%].
J. Ghosh, S.Y. Lim, M.M. Ferdaus, J. Senthilnath, 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.
K. Harikumar, R. Dutta, 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. [Acceptance rate: 837/1322=63.3%]
R.A. Selje, A. Al-Radaideh, R. Dutta, J. Senthilnath, X. Li, L. Sun, “GPS-Denied Three Dimensional Leader-Follower Formation Control Using Deep Reinforcement Learning,” AIAA SciTech Forum, 2022.
T. Dam, M.M. Ferdaus, S.G. Anavatti, J. Senthilnath, 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: 177/626=28.3%].
M. Rautela, J. Senthilnath, J. Moll, S. Gopalakrishnan, “Temperature compensation for guided waves using convolutional denoising autoencoders,” Proceedings of the XV SPIE Health Monitoring of Structural and Biological Systems, 2021.
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, 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.
C.S. Arvind, 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]
C.S. Arvind, 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, 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]
K. Harikumar, J. Senthilnath, 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, 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, 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, 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, A. Vanjare, S.N. Omkar, J. Senthilnath, V. Mani, P.G. Diwakar, "Flood Assessment using Multi-temporal MODIS Satellite Images,” Proceedings of the 12th International Conference on Image and Signal Processing (ICISP'16), pp.575-586. Best Paper Award
J. Senthilnath, R. Prasad, R. Rajendra, P.B. Shreyas, S.N. Omkar, 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, 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.
J. Senthilnath, 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: 91/350=26%].
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, S.N. Omkar, V. Mani, Ashoka Vanjare, 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, 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, Nikhil Ramaswamy, R. Ananda, Venkatesh N.G., 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.
J. Senthilnath, Ankur Raj, S.N. Omkar, V. Mani, Deepak 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, Vikram Shenoy H, S.N. Omkar, 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, Vipul Das, S.N. Omkar, 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.
J. Senthilnath, Shreyas P.B, Ritwik Rajendra, S.N. Omkar, V. Mani, 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.
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), pp.136-139.
C.S. Arvind, Ashoka Vanjare, S.N. Omkar, J. Senthilnath, V. Mani, P.G. Diwakar, “Multi-temporal Satellite Image Analysis Using Unsupervised Techniques,” Proceedings of the 2nd International Conference on Advances in Computing and Information Technology (ACITY'12), pp.757-765.
J. Senthilnath, S.N. Omkar, V. Mani, N.P. Kalro, 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: 1028/3370=30.5%].
M. Rajeswari, K.S. Gurumurthy, S.N. Omkar, J. Senthilnath, 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.
J. Senthilnath, S.N. Omkar, V. Mani, 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, N. Karnwal, “Hierarchical artificial immune system for crop stage classification,” Proceedings of the 2011 Annal IEEE India Conference: Engineering Sustainable Solutions, pp.1-4.
J. Senthilnath, S.N. Omkar, V. Mani, N. Tejovanth, P.G. Diwakar, B.A. Shenoy, “Multi-Spectral Satellite Image Classification using Glowworm Swarm Optimization,” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), 2011 [Acceptance rate: 1495/2222=67.3%]
Others
Workshop Papers (1)
D. Aggarwal, J. Senthilnath, U. Kumar, V. Yadav, S. Kulkarni, M.M. Ferdaus, 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.
Book chapters (15)
C.S. Arvind, J. Senthilnath, “Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning," Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Springer, edited by K. Das, et al., pp. 55-66, 2020 [Video]
R. Khandelwal, J. Senthilnath, S.N. Omkar, 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, edited by K-P. Mehdi, et al., pp. 285 - 303, 2020.
J. Senthilnath, K. Harikumar, S. Suresh, “Efficient resource allocation for decentralized heterogeneous system using density estimation approach," Robotic Intelligence, World Scientific Press, Part 5, edited by C-Y.S. Phillip, et al., pp. 137-143, 2019. [Video] [Invited Chapter]
S.N. Omkar, D. Mudigere, J. Senthilnath, 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, edited by K-P. Mehdi, et al., pp. 257 - 273, 2019.
J. Senthilnath, X.S. Yang, “Multitemporal remote sensing image classification by nature-inspired techniques,” Bio-Inspired Computation and Applications in Image Processing, Elsevier, Chapter 9, edited by X.S. Yang, et al., pp. 187-219, 2016. [Invited Chapter]
J. Senthilnath, S.N. Omkar, V. Mani, A. Vanjare, P.G. Diwakar, “Multi-Temporal Satellite Image Analysis Using Gene Expression Programming,” Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Springer, edited by B. Babu, et al., Vol. 236, pp. 1039 – 1045, 2014.
Nikhil Goel, J. Senthilnath, S.N. Omkar, V. Mani, “Location Management in Mobile Computing using Swarm Intelligence Techniques,” Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Springer, edited by B. Babu, et al., Vol. 236, pp. 481 – 489, 2014.
J. Senthilnath, Ankur Raj, S.N. Omkar, V. Mani, Deepak Kumar, “Quasi-Based Hierarchical Clustering for Land Cover Mapping Using Satellite Images,” Bio-inspired Computing: Theories and Applications, Advances in Intelligent Systems and Computing, Springer, edited by J. Bansal, et al., Vol. 202, pp. 53 – 64, 2013.
J. Senthilnath, Vikram Shenoy H, S.N. Omkar, V. Mani, “Spectral-spatial MODIS image analysis using Swarm intelligence algorithms and region based segmentation for flood assessment,” Bio-inspired Computing: Theories and Applications, Advances in Intelligent Systems and Computing, Springer, edited by J. Bansal, et al., Vol. 202, pp. 163 – 174, 2013.
J. Senthilnath, Vipul Das, S.N. Omkar, V. Mani, “Clustering using Levy Flight Cuckoo Search,” Bio-inspired Computing: Theories and Applications, Advances in Intelligent Systems and Computing, Springer, edited by J. Bansal, et al., Vol. 202, pp. 65 – 75, 2013.
S. N.Omkar, Nikhil Ramaswamy, R. Ananda, Venkatesh N.G., J. Senthilnath, “An Optimal Fuzzy Logic Controller tuned with Artificial Immune System,” Bio-inspired Computing: Theories and Applications, Advances in Intelligent Systems and Computing, Springer, edited by J. Bansal, et al., Vol. 201, pp. 507 – 518, 2013.
C.S. Arvind, Ashoka Vanjare, S.N. Omkar, J. Senthilnath, V. Mani, P.G. Diwakar, “Multi-temporal Satellite Image Analysis Using Unsupervised Techniques,” Advances in Computing and Information Technology, Advances in Intelligent Systems and Computing, Springer, edited by N. Meghanathan, et al., Vol. 177, pp. 757 – 765, 2013.
J. Senthilnath, Shreyas P.B, Ritwik Rajendra, S.N. Omkar, V. Mani, P.G. Diwakar, “Multi-Sensor Satellite Image Analysis using Niche Genetic Algorithm for Flood Assessment,” Swarm, Evolutionary and Memetic Computing, Lecture Notes in Computer Science, Springer, edited by B.K. Panigrahi, et al., Vol. 7677, pp. 49 - 56, 2012.
S.N. Omkar, J. Senthilnath, “Acoustic emission signal classification using nature inspired techniques,” Theory and Uses of Acoustic Emissions, Nova Science Publishers, Chapter 6, edited by J.K. Burnett, et al., pp. 107 - 148, 2011.
S.N. Omkar, J. Senthilnath, “Neural Network and Swarm Intelligence for Data Mining,” Integration of Swarm Intelligence and Artificial Neural Network, World Scientific Press, Chapter 2, edited by S. Dehuri, et al., pp. 23-65, 2011.
Presentations only (8)
L.K. Loch, Y. Hong, Z. Lin, J. Senthilnath, B. Zhou, 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, V. Chellappan, “Enabling high-throughput electrical conductivity optimization of doped conjugated polymers using explainable machine learning,” Proceedings of the 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, 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, 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, J. Wang, “Validation of VIIRS Land Surface Phenology Using PhenoCam and Landsat Data,” NASA MODIS/VIIRS Science Team Meeting (STM'16), 2016.
X. Zhang, M.A. Friedl, G.M. Henebry, J. Senthilnath, J.M. Gray, C. Schaaf, Y. Liu, “Comparison of Land Surface Phenology Retrieved from MODIS and VIIRS Data,” NASA MODIS/VIIRS Science Team Meeting (STM'15), 2015.
S.N. Omkar, J. Senthilnath, M. Rajeswari, “Automatic road extraction using high-resolution satellite images based on level set evolution without re-initialization,” Proceedings of the XXVIII INCA International Congress on Collaborative Mapping and Space Technology (INCA'08), 2008.
S.N. Omkar, J. Senthilnath, K. Abhinandan, V.V. Acharya, P. G. Diwakar, “Assessment of flood-prone region using high-resolution satellite images,” Proceedings of the XXVIII INCA International Congress on Collaborative Mapping and Space Technology (INCA'08), 2008. Best Presentation Award
Patents (1)
S.N. Omkar, J. Senthilnath, K.N. Ramesh, A. Jain, A. Kumar, G. Anand, “Detection of Powerlines in Aerial Images,” Patent no: WO2018211396A1, 2018.
Selected Awards:
Predictive maintenance of aircraft components, featured in Discovery Channel (2019)
Artificial Intelligence, Analytics And Informatics (AI3) Member (2021-present)
IEEE Senior Member (2019-present)
Media coverage of research: Featured News Article (2018)
International Journal of Image and Data Fusion (IJIDF, Taylor & Francis) Best Paper Award (2016-2017)
Eigth International Conference on Soft Computing for Problem Solving Best Paper Award (2018)
Twelfth International Multi-Conference on Information Processing Best Paper Award (2016)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Travel Grant (2011)
Journal of the Indian Society of Remote Sensing (JISRS, Springer) Best Paper Award (2009)
ISRO space technology cell, Research Fellowship (2007-2009)
XXVIII INCA International Congress on Collaborative Mapping and Space Technology Best Presentation Award (2008)
Thesis Mentored/Co-supervised/Supervised:
Mahindra Rautela, PhD IISc 2023, "Hybrid physics-AI approaches for inverse problems," collaborated with Prof S Gopalakrishnan on inverse problems like damage identification and material property identification
Ren Zekun, PhD NUS 2021, "Accelerate materials development using Machine learning: from Photovoltaic to other functional materials," collaborated with Prof Tonio Buonassisi on Accelerated Materials Development for Manufacturing (AMDM) project
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