Multi-spectral satellite image classification using Glowworm Swarm Optimization. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; N. Tejovanth; P. G. Diwakar; Shenoy B. Archana (IGARSS, 2011)

Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures. - S. N. Omkar 001; J. Senthilnath 001; Rahul Khandelwal; G. Narayana Naik; S. Gopalakrishnan (Appl. Soft Comput., 2011)

Clustering using firefly algorithm: Performance study. - J. Senthilnath 001; S. N. Omkar 001; V. Mani (Swarm Evol. Comput., 2011)

Neural Network and Swarm Intelligence for Data Mining. - S. N. Omkar 001; J. Senthilnath 001 (Integration of Swarm Intelligence and Artificial Neural Network, 2011)

Multi-temporal Satellite Image Analysis Using Unsupervised Techniques. - C. S. Arvind; Ashoka Vanjare; S. N. Omkar 001; J. Senthilnath 001; V. Mani; P. G. Diwakar (ACITY (2), 2012)

An Optimal Fuzzy Logic Controller Tuned with Artificial Immune System. - S. N. Omkar 001; Nikhil Ramaswamy; R. Ananda; N. G. Venkatesh; J. Senthilnath 001 (BIC-TA (1), 2012)

Clustering Using Levy Flight Cuckoo Search. - J. Senthilnath 001; Vipul Das; S. N. Omkar 001; V. Mani (BIC-TA (2), 2012)

Spectral-Spatial MODIS Image Analysis Using Swarm Intelligence Algorithms and Region Based Segmentation for Flood Assessment. - J. Senthilnath 001; H. Vikram Shenoy; S. N. Omkar 001; V. Mani (BIC-TA (2), 2012)

Quasi-Based Hierarchical Clustering for Land Cover Mapping Using Satellite Images. - J. Senthilnath 001; Ankur Raj; S. N. Omkar 001; V. Mani; Deepak Kumar (BIC-TA (2), 2012)

Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification. - S. N. Omkar 001; Nikhil Ramaswamy; J. Senthilnath 001; S. Bharath; N. S. Anuradha (ICGEC, 2012)

Multi-objective Genetic Algorithm for efficient point matching in multi-sensor satellite image. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; Naveen P. Kalro; P. G. Diwakar (IGARSS, 2012)

Multi-sensor Satellite Image Analysis Using Niche Genetic Algorithm for Flood Assessment. - J. Senthilnath 001; P. B. Shreyas; Ritwik Rajendra; S. N. Omkar 001; V. Mani; P. G. Diwakar (SEMCCO, 2012)

Location Management in Mobile Computing Using Swarm Intelligence Techniques. - Nikhil Goel; J. Senthilnath 001; S. N. Omkar 001; V. Mani (SocProS, 2012)

Multi-Temporal Satellite Image Analysis Using Gene Expression Programming. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; Ashoka Vanjare; P. G. Diwakar (SocProS, 2012)

Pickup and delivery problem using metaheuristics techniques. - Craig D'Souza; S. N. Omkar 001; J. Senthilnath 001 (Expert Syst. Appl., 2012)

Hierarchical Clustering Algorithm for Land Cover Mapping Using Satellite Images. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; N. Tejovanth; P. G. Diwakar; Shenoy B. Archana (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Cooperative communication of UAV to perform multi-task using nature inspired techniques. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; Anurag R. Katti (CISDA, 2013)

Multiobjective Discrete Particle Swarm Optimization for Multisensor Image Alignment. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; T. Karthikeyan (IEEE Geosci. Remote. Sens. Lett., 2013)

Crop Stage Classification of Hyperspectral Data Using Unsupervised Techniques. - J. Senthilnath 001; S. N. Omkar 001; V. Mani; Nitin Karnwal; P. B. Shreyas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

A new SIFT matching criteria in a genetic algorithm framework for registering multisensory satellite imagery. - J. Senthilnath 001; Ram Prasad (ICVGIP, 2014)

Accurate point matching based on multi-objective Genetic Algorithm for multi-sensor satellite imagery. - J. Senthilnath 001; Naveen P. Kalro; Jón Atli Benediktsson (Appl. Math. Comput., 2014)

Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques. - S. N. Omkar 001; Dheevatsa Mudigere; J. Senthilnath 001; M. Vijaya Kumar (Int. J. Appl. Metaheuristic Comput., 2015)

A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony. - Rahul Khandelwal; J. Senthilnath 001; S. N. Omkar 001; Narendra Shivanath (Int. J. Appl. Metaheuristic Comput., 2016)

A Novel Approach for Multispectral Satellite Image Classification Based on the Bat Algorithm. - J. Senthilnath 001; Sushant Kulkarni; Jón Atli Benediktsson; Xin-She Yang 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods. - J. Senthilnath 001; Manasa Kandukuri; Akanksha Dokania; K. N. Ramesh (Comput. Electron. Agric., 2017)

A novel bat algorithm fuzzy classifier approach for classification problems. - Shruti Parashar; J. Senthilnath 001; Xin-She Yang 001 (Int. J. Artif. Intell. Soft Comput., 2017)

Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach. - Senthilnath Jayavelu; Harikumar Kandath 001; Suresh Sundaram 002 (IRC, 2018)

Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning. - C. S. Arvind; J. Senthilnath 001 (SocProS (1), 2018)

EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. - Akanksha Dokania; Neelanshi Varia; Senthilnath Jayavelu (SSCI, 2018)

Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. - Harikumar Kandath 001; Senthilnath Jayavelu; Suresh Sundaram 002 (SSCI, 2018)

Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms. - Sushant Kulkarni; Senthilnath Jayavelu; Jón Atli Benediktsson (SSCI, 2018)

DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. - Neelanshi Varia; Akanksha Dokania; Senthilnath Jayavelu (SSCI, 2018)

BELMKN: Bayesian Extreme Learning Machines Kohonen Network. - J. Senthilnath 001; Sumanth Simha C; Nagaraj G; Meenakumari Thapa; Indiramma M (Algorithms, 2018)

Efficient resource allocation for decentralized heterogeneous system using density estimation approach. - J. Senthilnath 001; K. Harikumar 001; Suresh Sundaram 002 (Encycl. Semantic Comput. Robotic Intell., 2018)

A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. - Subhrajit Samanta; Suresh Sundaram 002; J. Senthilnath 001; N. Sundararajan 001 (Appl. Soft Comput., 2019)

Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting. - K. Harikumar 001; Senthilnath Jayavelu; Suresh Sundaram 002 (IEEE Trans Autom. Sci. Eng., 2019)

Inverse design of crystals using generalized invertible crystallographic representation. - Zekun Ren; Juhwan Noh; Siyu I. P. Tian; Felipe Oviedo; Guangzong Xing; Qiaohao Liang; Armin Aberle; Yi Liu; Qianxiao Li; Senthilnath Jayavelu; Kedar Hippalgaonkar; Yousung Jung; et al. (CoRR, 2020)

Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery. - J. Senthilnath 001; Neelanshi Varia; Akanksha Dokania; Gaotham Anand; Jón Atli Benediktsson (Remote. Sens., 2020)

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV. - Yahui Guo; Hanxi Wang; Zhaofei Wu; Shuxin Wang; Hongyong Sun; J. Senthilnath 001; Jingzhe Wang; Christopher Robin Bryant; Yongshuo Fu (Sensors, 2020)

Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods. - Yahui Guo; Guodong Yin; Hongyong Sun; Hanxi Wang; Shouzhi Chen; J. Senthilnath 001; Jingzhe Wang; Yongshuo Fu (Sensors, 2020)

Mission Aware Motion Planning (MAP) Framework With Physical and Geographical Constraints for a Swarm of Mobile Stations. - K. Harikumar 001; J. Senthilnath 001; Suresh Sundaram 002 (IEEE Trans. Cybern., 2020)

Does Adversarial Oversampling Help us? - Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (CIKM, 2021)

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. - Deeksha Aggarwal; J. Senthilnath 001; Uttam Kumar 001; Vivek Yadav; Sushant Kulkarni; Md Meftahul Ferdaus; Xiaoli Li 001 (ICDM (Workshops), 2021)

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. - Yahui Guo; Yongshuo Fu; Shouzhi Chen; Christopher Robin Bryant; Xinxi Li; J. Senthilnath 001; Hongyong Sun; Shuxin Wang; Zhaofei Wu; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Acceleration based PSO for Multi-UAV Source-Seeking. - Adithya Shankar; Harikumar Kandath 001; J. Senthilnath 001 (CoRR, 2021)

FPA clust: evaluation of the flower pollination algorithm for data clustering. - J. Senthilnath 001; Sushant Kulkarni; Suresh Sundaram 002; Xin-She Yang 001; Jón Atli Benediktsson (Evol. Intell., 2021)

Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. - Yahui Guo; Shouzhi Chen; Zhaofei Wu; Shuxin Wang; Christopher Robin Bryant; J. Senthilnath 001; Mario Cunha; Yongshuo Fu (Remote. Sens., 2021)

Optimal Connectivity during Multi-agent Consensus Dynamics via Model Predictive Control. - Harikumar Kandath 001; Rajdeep Dutta; J. Senthilnath 001 (ACC, 2022)

Data Oversampling with Structure Preserving Variational Learning. - Indu Solomon; Senthilnath Jayavelu; Md Meftahul Ferdaus; Uttam Kumar 001 (CIKM, 2022)

Towards Building a Flexible Online Learning Model for Data Stream Classification. - Deeksha Aggarwal; Uttam Kumar 001; J. Senthilnath 001 (COMAD/CODS, 2022)

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. - Aye Phyu Phyu Aung; Xinrun Wang; Runsheng Yu; Bo An 001; Senthilnath Jayavelu; Xiaoli Li 001 (CVPR, 2022)

Latent Preserving Generative Adversarial Network for Imbalance Classification. - Tanmoy Dam; Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (ICIP, 2022)

Simultaneous Smoothing and Sharpening Using iWGIF. - Zhengguo Li; Jinghong Zheng 001; J. Senthilnath 001 (ICIP, 2022)

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. - Tanujit Chakraborty; Swarup Chattopadhyay; Suchismita Das; Uttam Kumar 001; J. Senthilnath 001 (IEEE Access, 2022)

Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies. - Jinraj V. Pushpangathan; Harikumar Kandath 001; Rajdeep Dutta; Rajarshi Bardhan; J. Senthilnath 001 (CoRR, 2022)

Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication. - J. Senthilnath 001; Harikumar Kandath 001; S. Suresh (CoRR, 2022)

Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. - Siyu Isaac Parker Tian; Zekun Ren; Selvaraj Venkataraj; Yuanhang Cheng; Daniil Bash; Felipe Oviedo; J. Senthilnath 001; Vijila Chellappan; Yee-Fun Lim; Armin G. Aberle; Benjamin P. MacLeod; Fraser G. L. Parlane; et al. (CoRR, 2022)

An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting. - Josy John; K. Harikumar 001; J. Senthilnath 001; Suresh Sundaram 002 (CoRR, 2022)

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. - Aye Phyu Phyu Aung; Senthilnath Jayavelu; Xiaoli Li 001; Bo An 001 (Neurocomputing, 2022)

Significance of activation functions in developing an online classifier for semiconductor defect detection. - Md Meftahul Ferdaus; Bangjian Zhou; Ji Wei Yoon; Kain Lu Low; Jieming Pan; Joydeep Ghosh; Min Wu 008; Xiaoli Li 001; Aaron Voon-Yew Thean; J. Senthilnath 001 (Knowl. Based Syst., 2022)

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. - Yahui Guo; Shouzhi Chen; Xinxi Li; Mario Cunha; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

BS-McL: Bilevel Segmentation Framework With Metacognitive Learning for Detection of the Power Lines in UAV Imagery. - J. Senthilnath 001; Abhishek Kumar; Anurag Jain; K. Harikumar 001; Meenakumari Thapa; Suresh Sundaram 002; Gautham Anand; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2022)

Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. - Yahui Guo; Xuan Zhang; Shouzhi Chen; Hanxi Wang; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. - Zhang Wan; Zhuoyi Lin; Shamima Rashid; Shaun Yue-Hao Ng; Rui Yin 002; J. Senthilnath 001; Chee Keong Kwoh 001 (BIBM, 2023)

Quantile Online Learning for Semiconductor Failure Analysis. - Bangjian Zhou; Jieming Pan; Maheswari Sivan; Aaron Voon-Yew Thean; J. Senthilnath 001 (ICASSP, 2023)

Data Generation with Structure Enforcing Adversarial Learning. - Indu Solomon; Uttam Kumar 001; Senthilnath Jayavelu (ICIP, 2023)

Acceleration-Based PSO for Multi-UAV Source-Seeking. - Adithya Shankar; Himanshu; Harikumar Kandath 001; J. Senthilnath 001 (IECON, 2023)

S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. - Rajdeep Dutta; Qincheng Wang; Ankur Singh; Dhruv Kumarjiguda; Xiaoli Li 001; Senthilnath Jayavelu (CoRR, 2023)

Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers. - Ji Wei Yoon; Adithya Kumar; Pawan Kumar; Kedar Hippalgaonkar; J. Senthilnath 001; Vijila Chellappan (CoRR, 2023)

A decentralized learning strategy to restore connectivity during multi-agent formation control. - Rajdeep Dutta; Harikumar Kandath 001; Senthilnath Jayavelu; Xiao-Li Li 001; Suresh Sundaram 002; Daniel J. Pack (Neurocomputing, 2023)

PASE: An autonomous sequential framework for the state estimation of dynamical systems. - Harikumar Kandath 001; Md Meftahul Ferdaus; Zhen Wei Ng; Bangjian Zhou; Suresh Sundaram 002; Xiaoli Li 001; Senthilnath Jayavelu (Expert Syst. Appl., 2023)

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; J. Senthilnath 001; Chi Xu; Chee Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2023)

Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning. - Rajdeep Dutta; Qincheng Wang; Ankur Singh; Dhruv Kumarjiguda; Xiaoli Li 001; Senthilnath Jayavelu (ICASSP, 2024)

Robust Representation Learning With Self-Distillation For Domain Generalization. - Ankur Singh; Senthilnath Jayavelu (ICIP, 2024)

U-Tell: Unsupervised Task Expert Lifelong Learning. - Indu Solomon; Aye Phyu Phyu Aung; Uttam Kumar 001; Senthilnath Jayavelu (ICIP, 2024)

Cross-Problem Learning for Solving Vehicle Routing Problems. - Zhuoyi Lin; Yaoxin Wu; Bangjian Zhou; Zhiguang Cao; Wen Song; Yingqian Zhang 001; Senthilnath Jayavelu (IJCAI, 2024)

A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control. - Md Meftahul Ferdaus; Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; J. Senthilnath 001 (Appl. Soft Comput., 2024)

Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. - J. Senthilnath 001; Adithya Bhattiprolu; Ankur Singh; Bangjian Zhou; Min Wu 008; Jón Atli Benediktsson; Xiaoli Li 001 (CoRR, 2024)

Self-evolving Autoencoder Embedded Q-Network. - J. Senthilnath 001; Bangjian Zhou; Zhen Wei Ng; Deeksha Aggarwal; Rajdeep Dutta; Ji Wei Yoon; Aye Phyu Phyu Aung; Keyu Wu 002; Min Wu 008; Xiaoli Li 001 (CoRR, 2024)

XMOL: Explainable Multi-property Optimization of Molecules. - Aye Phyu Phyu Aung; Jay Chaudhary; Ji Wei Yoon; Senthilnath Jayavelu (CoRR, 2024)

Continual learning with task specialist. - Indu Solomon; Aye Phyu Phyu Aung; Uttam Kumar 001; Senthilnath Jayavelu (CoRR, 2024)

Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers. - Ji Wei Yoon; Adithya Kumar; Pawan Kumar; Kedar Hippalgaonkar; J. Senthilnath 001; Vijila Chellappan (Knowl. Based Syst., 2024)

DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering. - J. Senthilnath 001; Nagaraj G; Sumanth Simha C; Sushant Kulkarni; Meenakumari Thapa; Indiramma M; Jón Atli Benediktsson (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Deep Generation of Guided Wave Representations for Composite Materials. - Mahindra Rautela; J. Senthilnath 001; Armin Huber; S. Gopalakrishnan (IEEE Trans. Artif. Intell., 2024)

An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting. - Josy John; K. Harikumar 001; J. Senthilnath 001; Suresh Sundaram 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Metacognitive Decision-Making Framework for Multi-UAV Target Search Without Communication. - J. Senthilnath 001; K. Harikumar 001; Suresh Sundaram 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation. - Haoge Jiang; Niraj Bhujel; Zhuoyi Lin; Kong-Wah Wan; Jun Li 005; Senthilnath Jayavelu; Xudong Jiang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation. - Jonathan Adam Rico; Nagarajan Raghavan; Senthilnath Jayavelu (ICPHM, 2025)

Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL. - Sheng Zang; Zhiguang Cao; Bo An 001; Senthilnath Jayavelu; Xiaoli Li 001 (AAMAS, 2025)

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. - Aye Phyu Phyu Aung; Xinrun Wang; Ruiyu Wang; Hau Chan; Bo An 001; Xiaoli Li 001; J. Senthilnath 001 (IEEE Trans. Image Process., 2025)

3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images. - J. Senthilnath 001; Chen Hao; F. C. Wellstood (CoRR, 2025)

A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy. - J. Senthilnath 001; Jayasanker Jayabalan; Zhuoyi Lin; Aye Phyu Phyu Aung; Chen Hao; Kaixin Xu; Yeow Kheng Lim; F. C. Wellstood (CoRR, 2025)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems. - Shaodi Feng; Zhuoyi Lin; Jianan Zhou; Cong Zhang; Jingwen Li; Kuan-Wen Chen; Senthilnath Jayavelu; Yew-Soon Ong (CoRR, 2025)