| 2026 | ICAART | CALM-V: Causal Adaptive Learning for Multi-Agents via Verification Protocol. | Hariprasauth Ramamoorthy, Unnikrishnan Nair, Suresh Sundaram |
| 2026 | WSDM | Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs. | Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang |
| 2025 | AAAI | OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation. | Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram |
| 2025 | CVPR | VISTA-CLIP: Visual Incremental Self-Tuned Adaptation for Efficient Continual Panoptic Segmentation. | Manjunath D, Shrikar Madhu, Aniruddh Sikdar, Suresh Sundaram |
| 2025 | CVPR | SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems. | Manjunath D, Aniruddh Sikdar, Prajwal Gurunath, Sumanth Udupa, Suresh Sundaram |
| 2025 | CVPR | PiCaZo: Pixel-Aligned Contrastive Learning for Zero-Shot Domain Adaptation. | Aniruddh Sikdar, Arya Kishor, Ishika Kadam, Suresh Sundaram |
| 2025 | ICAART | Enhancing Graph Clustering in Dynamic Networks with Distributed Online Life-Long Learning. | Hariprasauth Ramamoorthy, Rajkumar Vaidyanathan, Suresh Sundaram |
| 2025 | ICAART | CEMPAT: A Framework to Identify Colluding Agents in a Graph Network. | Hariprasauth Ramamoorthy, Rajkumar Vaidyanathan, Suresh Sundaram |
| 2025 | ICASSP | REAct: Rational Exponential Activation for Better Learning and Generalization in PINNs. | Sourav Mishra, Shreya Hallikeri, Suresh Sundaram |
| 2025 | PRIMA | A Synergistic Reinforcement Learning Framework for Adaptive, Privacy-Preserving Trust and Collusion Detection in Multi-agent Systems. | Hariprasauth Ramamoorthy, Rajkumar Vaidyanathan, Suresh Sundaram |
| 2024 | AAAI | Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. | Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, P. B. Sujit |
| 2024 | CEC | Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs. | Josy John, Suresh Sundaram |
| 2024 | CVPR | MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation. | Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram |
| 2024 | EMNLP | Class Name Guided Out-of-Scope Intent Classification. | Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li |
| 2024 | IJCNN | PINGS: Physics Informed Networks with Guided Supermasks for Sequential PDE Solving. | Sourav Mishra, Rudrashis Majumder, Suresh Sundaram |
| 2024 | IROS | SSL-RGB2IR: Semi-supervised RGB-to-IR Image-to-Image Translation for Enhancing Visual Task Training in Semantic Segmentation and Object Detection. | Aniruddh Sikdar, Qiranul Saadiyean, Prahlad Anand, Suresh Sundaram |
| 2024 | ICRA | Learning Multi-Scale Context Mask-RCNN Network for Slant Angled Aerial Imagery in Instance Segmentation in a Sim2Real setup. | Qiranul Saadiyean, S. P. Samprithi, Suresh Sundaram |
| 2024 | ICRA | SKD-Net: Spectral-based Knowledge Distillation in Low-Light Thermal Imagery for robotic perception. | Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram |
| 2024 | SMC | Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment. | Jayabrata Chowdhury, Venkataramanan Shivaraman, Sumit Dangi, Suresh Sundaram, P. B. Sujit |
| 2024 | SMC | An Optimal Multi-Path Power Routing and Transmission Scheduling Approach for Peer-to-Peer Power Trading in Energy Internet. | Neethu Maya, Narasimman Sundararajan, Suresh Sundaram |
| 2024 | SMC | Improved Imbalance Resilience in Continual Multi-Label Classification with Adaptive Margin Spiking Neural Networks. | Sourav Mishra, Shirin Dora, Suresh Sundaram |
| 2024 | SMC | Data-Driven Coefficient Estimation for Autonomous Underwater Vehicle Depth Subsystem. | Sourav Mishra, Rajini Makam, Suresh Sundaram |
| 2023 | AAAI | Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance. | Shubhankar Gupta, Suresh Sundaram |
| 2023 | CoDIT | Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-denied operation of Micro-UAV. | Nishanth Rao, Suresh Sundaram, Varun Raghavendra |
| 2023 | CVPR | DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery. | Aniruddh Sikdar, Sumanth Udupa, Prajwal Gurunath, Suresh Sundaram |
| 2023 | ICASSP | Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. | Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram |
| 2023 | ICASSP | A Memory-Free Evolving Bipolar Neural Network for Efficient Multi-Label Stream Learning. | Sourav Mishra, Suresh Sundaram |
| 2023 | ICASSP | Fully Complex-Valued Deep Learning Model for Visual Perception. | Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram |
| 2023 | IJCNN | Learning to Classify Faster Using Spiking Neural Networks. | Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram, Qinggang Meng |
| 2022 | EMNLP | Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. | Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy |
| 2021 | COMSNETS | Network Based Multi-Bot Awareness. | G. Dhanaprakaash, Bishal Jaiswal, Srikrishna Acharya, Anush Kumar, Aruul Mozhi Varman S, Kavish Shah, Mohitvishnu Srinivas Gadde, Sourav Mishra, Aditya Gopalan, Bharadwaj Amrutur, Himanshu Tyagi, Preetam Patil, Raghu Krishnapuram, Soumya Subhra Banerjee, Suresh Sundaram |
| 2021 | ICASSP | Meta-Cognition-Based Simple And Effective Approach To Object Detection. | Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram |
| 2021 | IJCNN | Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation. | Sourav Mishra, Suresh Sundaram |
| 2021 | IJCNN | Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. | Nishanth Rao, Suresh Sundaram |
| 2020 | ICFHR | Online Signature Verification using Time Warp Edit Distance based kernel. | Sarojit Auddya, Rajat Kumar Singh, Suresh Sundaram |
| 2020 | ICFHR | A Deep Learning Framework with Histogram Features for Online Writer Identification. | Sounak Ray, Addrish Roy, Suresh Sundaram |
| 2020 | IJCNN | Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. | Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram |
| 2020 | IJCNN | A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. | Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth |
| 2019 | AAAI | Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. | Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama |
| 2019 | ICDAR | Exploration of CNN Features for Online Handwriting Recognition. | Subhasis Mandal, S. R. M. Prasanna, Suresh Sundaram |
| 2019 | ICDAR | Online Writer Identification using GMM Based Feature Representation and Writer-Specific Weights. | Vivek Venugopal, Suresh Sundaram |
| 2019 | IJCNN | RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. | Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth |
| 2018 | AAAI | A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. | Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng |
| 2018 | CoDIT | State Estimation of an Agile Target using Discrete Sliding Mode Observer. | K. Harikumar, Titas Bera, Rajarshi Bardhan, Suresh Sundaram |
| 2018 | GECCO | Preference-based 3-dimensional en-route airspace sectorization. | Cheryl Sze Yin Wong, Suresh Sundaram |
| 2018 | ICFHR | DNN-HMM Based Large Vocabulary Online Handwritten Assamese Word Recognition System. | Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram |
| 2018 | ICFHR | Exploring Sparse Representation for Improved Online Handwriting Recognition. | Subhasis Mandal, Syed Shahnawazuddin, Rohit Sinha, S. R. Mahadeva Prasanna, Suresh Sundaram |
| 2018 | ICFHR | Histogram-Based Matching of GMM Encoded Features for Online Signature Verification. | Abhishek Sharma, Suresh Sundaram |
| 2018 | ICFHR | A Hierarchical Codebook Descriptor Approach for Online Writer Identification. | Vivek Venugopal, Surbhi Pillai, Suresh Sundaram |
| 2018 | ICPR | Exploring Discriminative HMM States for Improved Recognition of Online Handwriting. | Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram |
| 2017 | AAAI | Embedded Bandits for Large-Scale Black-Box Optimization. | Abdullah Al-Dujaili, Suresh Sundaram |
| 2017 | CEC | Development of a Higher Order Cognitive Optimization algorithm. | Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan |
| 2017 | ICDAR | A Vector Quantization Based Feature Descriptor for Online Signature Verification. | Vivek Venugopal, Abhishek Sharma, Rishabh Singh, Abhinav Sharma, Suresh Sundaram |
| 2017 | IJCNN | Comprehensive study of features for subject-independent emotion recognition. | Adhikari Ashutosh, Ramasamy Savitha, Suresh Sundaram |
| 2017 | IJCNN | OMKT: Projection based bounded on-line multiple kernel tracker. | Prabhash Kumarasinghe, Suresh Sundaram |
| 2017 | IJCNN | MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI. | Prabhash Kumarasinghe, Suresh Sundaram, Vigneshwaran Subbaraju |
| 2016 | CEC | Dividing rectangles attack multi-objective optimization. | Abdullah Al-Dujaili, Suresh Sundaram |
| 2016 | CEC | Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds. | Abdullah Al-Dujaili, Suresh Sundaram |
| 2016 | GECCO | A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study. | Abdullah Al-Dujaili, Suresh Sundaram |
| 2016 | GECCO | Hypervolume-Based DIRECT for Multi-Objective Optimisation. | Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram |
| 2016 | ICFHR | Online Writer Identification Using Sparse Coding and Histogram Based Descriptors. | Isht Dwivedi, Swapnil Gupta, Vivek Venugopal, Suresh Sundaram |
| 2016 | ICFHR | Offline Writer Identification Using Local Derivative Pattern. | Salil Kanetkar, Ayush Pathania, Vivek Venugopal, Suresh Sundaram |
| 2016 | IJCNN | Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation. | G. Sateesh Babu, Xiaoli Li, Suresh Sundaram |
| 2016 | IJCNN | Prediction of membrane protein structures using a Projection based Meta-cognitive Radial Basis Function Network. | R. Shamima, Suresh Sundaram |
| 2016 | SMC | A robust interval Type-2 Fuzzy Inference based BCI system. | A. K. Das, Suresh Sundaram, Narasimhan Sundararajan |
| 2015 | CEC | HumanCog: A cognitive architecture for solving optimization problems. | Abdullah Al-Dujaili, K. Subramanian, Suresh Sundaram |
| 2015 | CEC | Mentoring based particle swarm optimization algorithm for faster convergence. | Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan |
| 2015 | CEC | Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems. | Muhammad Rizwan Tanweer, Suresh Sundaram, Narasimhan Sundararajan |
| 2015 | ICDAR | A subtractive clustering scheme for text-independent online writer identification. | Gautam Singh, Suresh Sundaram |
| 2015 | IJCNN | A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems. | Shirin Dora, Suresh Sundaram, Narasimhan Sundararajan |
| 2015 | IJCNN | Using regional homogeneity from functional MRI for diagnosis of ASD among males. | Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan |
| 2015 | IJCNN | ASD detection in males using MRI- an age-group based study. | Vigneshwaran Senthilvel, Suresh Sundaram, B. S. Mahanand, N. Sundararajan |
| 2015 | SMC | An Effect-Size Based Channel Selection Algorithm for Mental Task Classification in Brain Computer Interface. | A. K. Das, Suresh Sundaram |
| 2014 | ICARCV | Identification of potential biomarkers in the hippocampus region for the diagnosis of ADHD using PBL-McRBFN approach. | Badrinarayanan Rangarajan, Suresh Sundaram, B. S. Mahanand |
| 2014 | ICARCV | Meta-cognitive fuzzy extreme learning machine. | Yong Zhang, Meng Joo Er, Suresh Sundaram |
| 2014 | IJCNN | A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm. | A. K. Das, Kartick Subramanian, Suresh Sundaram |
| 2014 | IJCNN | A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. | Shirin Dora, Suresh Sundaram, N. Sundararajan |
| 2013 | IJCNN | Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI). | G. Sateesh Babu, Suresh Sundaram, B. S. Mahanand |
| 2013 | IJCNN | Protein secondary structure prediction using a fully complex-valued relaxation network. | B. Shamima, Ramaswamy Savitha, Suresh Sundaram, Saras Saraswathi |
| 2013 | IJCNN | A basis coupled evolving spiking neural network with afferent input neurons. | Shirin Dora, Ramaswamy Savitha, Suresh Sundaram |
| 2013 | IJCNN | Autism spectrum disorder detection using projection based learning meta-cognitive RBF network. | Vigneshwaran Senthilvel, B. S. Mahanand, Suresh Sundaram, Ramaswamy Savitha |
| 2012 | IJCNN | Alzheimer's disease detection using a Projection Based Learning Meta-cognitive RBF Network. | G. Sateesh Babu, Suresh Sundaram, B. S. Mahanand |
| 2012 | IJCNN | A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems. | G. Sateesh Babu, Ramaswamy Savitha, Suresh Sundaram |
| 2012 | IJCNN | Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System. | Kartick Subramanian, Suresh Sundaram |
| 2012 | IJCNN | Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition. | K. Subramanian, Suresh Sundaram, R. Venkatesh Babu |
| 2012 | IJCNN | Complex-valued neuro-fuzzy inference system for wind prediction. | Kartick Subramanian, Ramaswamy Savitha, Suresh Sundaram |
| 2012 | ISNN | A Projection Based Learning Meta-cognitive RBF Network Classifier for Effective Diagnosis of Parkinson's Disease. | G. Sateesh Babu, Suresh Sundaram, K. Uma Sangumathi, Hyoung Joong Kim |
| 2011 | ICDAR | Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words. | Suresh Sundaram, A. G. Ramakrishnan |
| 2011 | IJCNN | Fully complex-valued ELM classifiers for human action recognition. | R. Venkatesh Babu, Suresh Sundaram |
| 2011 | IJCNN | Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. | B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan, M. Aswatha Kumar |
| 2011 | IJCNN | A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. | Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha |
| 2011 | IJCNN | A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems. | Suresh Sundaram, Kartick Subramanian |
| 2011 | IJCNN | A fast learning Fully Complex-valued Relaxation Network (FCRN). | Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan |
| 2011 | ISNN | Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. | Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, Hyoung Joong Kim |
| 2010 | ICARCV | An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies. | Sureshkumar Chandrasekar, Suresh Sundaram, Narasimhan Sundararajan, Narayanaswamy Nagarajan |
| 2010 | ICARCV | Automatic take-off control system for helicopter - An H∞ apporach. | Suresh Sundaram, Pushpinder Kashyab, Masque Nabi |
| 2010 | IJCNN | A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. | Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan |
| 2009 | ICDAR | An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods. | Suresh Sundaram, Angarai Ganesan Ramakrishnan |
| 2009 | IJCNN | Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. | Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan |
| 2008 | IJCNN | Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. | Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran |
| 2008 | WACV | Online Character Recognition using Regression Techniques. | Nirup Reddy, R. Kandan, K. Shashikiran, Suresh Sundaram, Angarai Ganesan Ramakrishnan |
| 2007 | ICASSP | Robust Object Tracking with Radial Basis Function Networks. | R. Venkatesh Babu, Suresh Sundaram, Anamitra Makur |
| 2007 | ICIP | Parallel Magnetic Resonance Imaging using Neural Networks. | Neelam Sinha, Manojkumar Saranathan, Kalpathi R. Ramakrishnan, Suresh Sundaram |
| 2006 | ICARCV | Image Quality Measurement Using Sparse Extreme Learning Machine Classifier. | Suresh Sundaram, R. Venkatesh Babu, Narasimhan Sundararajan |
| 2005 | ICCSA | Real-Coded Genetic Algorithms for Optimal Static Load Balancing in Distributed Computing System with Communication Delays. | V. Mani, Suresh Sundaram, Hyoung Joong Kim |