Publications

Chandu Priya Matavalam, Sagila Gangadharan and A. P. Vinod, “Consumer Trait Prediction from EEG using a Novel SpectralTraitNet for Neuromarketing Application”, 2026 IEEE International Conference on Human-Machine Systems (ICHMS), 1-3 July 2026, Singapore.

Naseem Babu, Jimson Mathew and A. P. Vinod, “Large Language Models for Time-Series Analysis: A Survey with Experimental Evaluation for Classification”, Expert Systems With Applications, Accepted in August 2026 (Impact Factor 9.4).

Devika K. N., Praveen Kumar and A. P. Vinod, “Graph Convolutional Network-based Harmonization of EEG for Cross-Dataset Transfer in Motor Imagery in BCI”, Journal of Neural Engineering, Accepted in July 2026 (Impact Factor: 4.0).

Sagila Gangadharan and A. P. Vinod, “Exploring Kinematics Information Decoding from EEG Slow Cortical Potentials During Movement Imagination and Observation”, Sensors, 2026; 26(14):4456. (Impact Factor: 4.0).

Naseem Babu, Jimson Mathew, Udit Satija and A. P. Vinod, “Unsupervised domain adaptation for eeg-based emotion recognition in virtual environments”, SN Computer Science, 7, 602 (2026), June 2026,

Naseem Babu, Jimson Mathew, Udit Satija and A. P. Vinod “Modality Reprogramming: Adapting Frozen LLMs for Multi-Channel EEG Classification”, Neurocomputing, Volume 668, March 2026 (Impact Factor: 6.5).

Devika K. N., Praveen Kumar and A. P. Vinod, “Model-agnostic meta-learning based cross-subject adaptation for four-class unilateral motor imagery decoding from EEG-based BCI”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2026), Toronto, Canada, July 2026.

Jijomon C. M., Sagila Gangadharan and A. P. Vinod, “Subject-independent Multi-class Motor Imagery Direction Classification Using EEG-based BCI”, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2026), Toronto, Canada, July 2026.

Sagila Gangadharan, Praveen Kumar and A. P. Vinod, “A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed Decoding”, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 5 – 8 October 2025.

Devika K. M., Praveen Kumar and A. P. Vinod, “Enhancing Cross-Task Learning-based Multiclass Motor Imagery Classification in Brain Computer Interfaces using Conditional Domain Adversarial Network”, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 5 – 8 October 2025.

Aswin Sekhar, Praveen Kumar and A. P. Vinod, “STESA-Net: A Hybrid Spatio-Temporal Self-Attentive Model for Attention-Inattention Classification from EEG”, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 5 – 8 October 2025.

Sagila Gangadharan, Praveen Kumar and A. P. Vinod, “Multi-direction Imagined Hand Movement Classification using EEG-based Brain Computer Interface”, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 5 – 8 October 2025.

Praveen K Parashiva, Sagila Gangadharan, A. P. Vinod, “EEGScaler: A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed Decoding”, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 5 – 8 October 2025.

Asif M S, Sagila Gangadharan and A. P. Vinod, “EEGCNR: A Novel feature for attention estimation from EEG”, 17th IEEE Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), Singapore, 22-24 October 2025.

Parvathy Remesh, Jijomon C. M. and A. P. Vinod, “Biometric Identification Using Default Mode Network Features Extracted from Eyes-Open Resting-State EEG Data”, 17th IEEE Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), Singapore, 22-24 October 2025.

Sagila Gangadharan, Praveen Kumar and A. P. Vinod, “Dilated 1D Convolutional Neural Network for EEG Error-Related Potential Detection” 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, 14-18 July 2025.

Naseem Babu, Jimson Mathew and A. P. Vinod, “Emotion Recognition in Virtual and Non-Virtual Environments Using EEG Signals: Dataset and Evaluation”, Biomedical Signal Processing and Control, vol. 106, August 2025.

Sagila Gangadharan and A. P. Vinod, “Decoding Motor Imagery Hand Direction in Brain Computer Interface from Direction-dependent Modulation of Parietal Connectivity Using a New Brain Functional Connectivity Measure” Neurocomputing, Elsevier, vol. 636, July 2025 (IF: 5.5).

Suhail R., Subasree R. and A. P. Vinod, “On the Feasibility of an Online Brain-Computer Interface-based Neurofeedback Game for Enhancing Attention and Working Memory in Stroke and Mild Cognitive Impairment Patients”, Biomedical Engineering & Physics Express, IOPscience, vol. 11, no. 2, March 2025.

Suhail T. A., R. Subasree and A. P. Vinod, “A Study on the Efficacy of an Online Neurofeedback Game Using Consumer-Grade EEG on Enhancing Attention Skills in Stroke and Mild Cognitive Impairment Patients”, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024), pages 1417-1422, Kuching, Malaysia, October 2024.

Sagila Gangadharan and A. P. Vinod, “Decoding speed and direction of imagined hand movement from EEG-BCI”, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024), pages 1417-1422, Kuching, Malaysia, October 2024.

K Sagila Gangadharan, Subasree Ramakrishnan, Andrew Paek, Akshay Ravindran, A. P. Vinod and Jose L Contreras Vidal, “Characterization of event related desynchronization in chronic stroke using motor imagery based brain computer interface for upper limb rehabilitation”, Annals of Indian Academy of Neurology, vol. 27. No. 3, June 2024.

Suhail T. A. and A. P. Vinod, “Enhancing Overt and Covert Attention Using a Real-time Neurofeedback Game with Consumer-grade EEG,” IEEE Transactions on Cognitive and Developmental Systems, volume: 16, Issue: 1, February 2024.

Sagila Gangadharan, A. P. Vinod and Subasree R., “A Phase-based EEG Epoch Selection Method for Decoding Bi-directional Hand Movement Imagination in Stroke Patients,” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 2023.

Jijomon C. M. and A. P. Vinod, “A Statistical Signal Selection Technique for Enhanced Detection of Single-trial EEG Auditory Evoked Potentials”, 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 2023.

D. D. Chakladar, S. Datta, P. P. Roy and A. P. Vinod, “Cognitive Workload Estimation Using Variational Auto Encoder & Attention-based Deep Model,” IEEE Transactions on Cognitive and Developmental Systems, March 2022,

Sagila Gangadharan and A. P. Vinod, “Direction decoding of imagined hand movements using subject-specific features from parietal EEG,” Journal of Neural Engineering, September 2022. (Impact Factor 5.379).

Praveen Kumar and A. P. Vinod, “Improving direction decoding accuracy during online motor imagery based Brain-Computer Interface using error-related potentials,” Biomedical Signal Processing and Control, vol. 74, April 2022, (Impact Factor: 3.88).

Rithwik P., Benzy VK and A. P. Vinod, “High Accuracy Decoding of Motor Imagery Directions from EEG-based Brain Computer Interface using Filter bank Spatially Regularised Common Spatial Pattern Method,” Biomedical Signal Processing and Control, volume 72, part A, February 2022.

Sagila Gangadharan and A. P. Vinod, “Drowsiness detection using portable wireless EEG,” Computer Methods and Programs in Biomedicine, Volume 214, February 2022, (Impact Factor 5.428).

Praveen Kumar and A. P. Vinod, “An efficient electrode ranking method for single trial detection of EEG Error-Related Potential,” 4th IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2021), Paris, France, 8-10 December 2021.

Sagila Gangadharan, Benzy VK and A. P. Vinod, “Maximum variance-based EEG time bin selection for decoding of imagined hand movement directions in Brain Computer Interface,” 4th IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2021), Paris, France, 8-10 December 2021.

Sagila Gangadran and A. P. Vinod, “A nonlinear penalty driven adaptive thresholding algorithm for drowsiness detection using EEG,” 4th IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2021), Paris, France, 8-10 December 2021.

Praveen Kumar and A. P. Vinod, “Online hand motor imagery direction decoding using Brain-Computer Interface,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2021), Melbourne, Australia, October 2021.

Ravikiran Mane, Effie Chew, Karen Chua, Kai Keng Ang, A. P. Vinod and Cuntai Guan, “FBCNet: A Filter-Bank Convolutional Neural Network for Motor Imagery BCI in Chronic Stroke Patients,” 8th International BCI Meeting 2021, Brussels, Belgium.

Praveen Kumar and A. P. Vinod, “Single-trial detection of EEG error-related potentials in serial visual presentation paradigm,” Biomedical Physics & Engineering Express, Elsevier, 2021 Dec 22;8(1).

Neethu Robinson, Kavitha Thomas and A. P. Vinod, “Separability of Motor Imagery Directions Using Subject-Specific Discriminative EEG Features,” IEEE Transactions on Human Machine Systems, vol. 51, no. 5, pp. 544-553, Oct. 2021.

Jijomon C. M. and A. P. Vinod, Person-Identification using Familiar-Name Auditory Evoked Potentials from Frontal EEG Electrodes," Biomedical Signal Processing and Control, vol. 68, July 2021 (IF: 3.137).

Jijomon C. M. and A. P. Vinod, "Detection and Classification of Long-Latency Auditory Evoked Potential from Electroencephalogram," Biomedical Signal Processing and Control, vol. 68, July 2021 (IF: 3.137).

Praveen Kumar and A. P. Vinod, “Single Trial Detection of EEG Error-Related Potentials using Modified Power-Law Transformation,” Biomedical Signal Processing and Control, vol. 67, May 2021,

Praveen Kumar and A. P. Vinod, “Improving Classification of Detecting Error-related Potentials using Two-stage Trained Neural Network Classifier”, 11th IEEE International Conference on Awareness Science and Technology (iCAST2020), Qingdao, China, December 2020.

Ravikiran Mane, Neethu Robinson, A. P. Vinod, Seong-Whan Lee and Cuntai Guan, “FBNet: a Multi-view CNN with novel Variance Layer for Motor Imagery Brain Computer Interface,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.

V K Benzy, A. P. Vinod, Subasree R, Suvarna Alladi and Raghavendra R., “Motor Imagery Hand movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 12, pp. 3051-3062 December 2020.

C. M. Jijomon and A. P. Vinod, “EEG-Based Biometric Identification using Frequency-Weighted Power Feature,” IET Biometrics, vol. 9, no. 6, pp. 251-258, November 2020 (Impact Factor: 2.092).

Praveen Kumar and A. P. Vinod, "New Channel Selection Method using Autoencoder for Motor Imagery based Brain Computer Interface," IEEE International Conference on Systems, Man, and Cybernetics, Bari, Italy, 6 - 9 October 2019.

Kavitha P. Thomas, Neethu Robinson and A. P. Vinod, “Utilizing Subject-Specific Discriminative EEG Features for Classification of Motor Imagery Directions,” The 10th IEEE International Conference on Awareness Science and Technology (iCAST 2019), Morioka, Iwate, Japan, October 2019.

Benzy V. K. and A. P. Vinod, "Classification of Motor Imagery Hand Movement Directions from EEG extracted Phase Locking Value features for Brain Computer Interfaces," IEEE International Technical Conference of Region 10 (TENCON), Kochi, India, October 2019.

Sagila Gangadharan and A. P. Vinod, “EEG Based Sleep-Awake Classification Using Sample Entropy and Band Power Ratio,” IEEE International Technical Conference of Region 10 (TENCON), Kochi, India, October 2019.

Prasanna Venkatesan and A. P. Vinod, "Name Familiarity Detection using EEG-based Brain Computer Interface," IEEE International Technical Conference of Region 10 (TENCON), Kochi, India, October 2019.

Ravikiran Mane, Effie Chew, K. S. Phua, K. K. Ang, Neethu Robinson, A. P. Vinod and Cuntai Guan, “Prognostic and Monitory EEG-Biomarkers for BCI Upper-limb Stroke Rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 8, pp. 1654-1664, Aug. 2019.

Kavitha P. Thomas and A. P. Vinod, “Neurofeedback games using EEG-based brain–computer interface technology,” The Institution of Engineering and Technology (IET), United Kingdom, 2018, Book Name: Signal Processing and Machine Learning for Brain-Machine Interfaces,

Jijomon C.M. and A. P. Vinod, “EEG-based Biometric Identification using Frequently Occuring Maximum Power Spectral Features,” IEEE Conference on Applied Signal Processing, Kolkata, India, December 2018.

Kavitha P. Thomas, Neethu Robinson, A. P. Vinod and Smitha K. G., “EEG-based discriminative features during hand movement execution and imagination,” 15th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Singapore, November 2018.

Neethu Robinson, Kavitha P Thomas, A. P. Vinod and Suresh Sundaram, “Classification of unilateral motor tasks using spectral features of EEG, 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 2018.

Ravikiran Mane, Effie Chew, Kok Soon Phua, Kai Keng Ang, A. P. Vinod, and Cuntai Guan, “Quantitative EEG as biomarkers for the monitoring of post-stroke motor recovery in BCI and tDCS rehabilitation”, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3610-3613, Honolulu, Hawaii, USA, July 2018.

Tushar Chouhan, K. K. Ang, A. P. Vinod and Cuntai Guan, “Modelling Causal Connectivity from EEG for BCI with Multi-Direction Hand Movements,” BCI Meeting 2018, Asilomar, California, USA.

Neethu Robinson, Kavitha Thomas and A. P. Vinod, “Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI,” Journal of Neural Engineering, 15(6):066032, December 2018 (Impact Factor – 3.92).

Tushar Chouhan, Neethu Robinson, A. P. Vinod, Ang Kai Keng and Guan Cuntai, “Wavelet phase-locking based binary classification of hand movement directions from EEG,” Journal of Neural Engineering, 15(6):066008, December 2018 (Impact Factor – 3.92).

Vikram Shenoy, A. P. Vinod and Guan Cuntai, "EEG source imaging of movement decoding: The state-of-the-art and future direction," IEEE Systems, Man, and Cybernetics Magazine, vol. 4, no. 2, pp. 14 - 23, April 2018.

Kavitha P. Thomas and A. P. Vinod, "EEG based Biometric Authentication Using Gamma Band Power during Rest State," Circuits, Systems and Signal Processing (Springer), vol. 37. no. 1, pp. 277 - 289, January 2018.

N. Robinson, K. P. Thomas, A. P. Vinod, “Canonical Correlation Analysis of EEG for Classification of Motor Imagery,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 2017.

K. P. Thomas, N. Robinson, A. P. Vinod, “EEG-Based Motor Imagery Classification Using Subject-Specific Spatio-Spectral Features,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 2017.

Vikram Shenoy, A. P. Vinod, Guan Cuntai, Ang Kai Keng and Effiew Chew, “Effects of Transcranial Direct Current Stimulation on the Motor-Imagery Brain-Computer Interface for Stroke Recovery,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 2017.

Tushar Chouhan, Neethu Robinson, A. P. Vinod and Ang Kai Keng, “Binary Classification of Hand Movement Directions from EEG using Wavelet Phase-Locking,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 2017.

Ericsen, Kavitha P. Thomas and A .P. Vinod, “EEG-based Biometric Authentication Using Self-referential Visual Stimuli,” 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 2017.

Neethu Robinson and A. P. Vinod, “Decoding Speed of Hand Movement Execution Using Temporal Features of EEG,” 8th International IEEE EMBS Conference On Neural Engineering, Shanghai, China, May 2017.

Kavitha P. Thomas, A. P. Vinod and Neethu Robinson, “Online Biometric Authentication Using Subject-Specific Band Power features of EEG,” 2017 ACM International Conference on Cryptography, Security and Privacy (ICCSP 2017), Wuhan, China, March 2017.

Cuntai Guan, Neethu Robinson, Vikram Shenoy Handiru and A. P. Vinod, “Detecting and tracking multiple directional movements in EEG based BCI”, 2017 5th International Winter Conference on Brain-Computer Interface (BCI), pages 44-45, Gangwon-do, South Korea, January 2017.

Ravi Suppiah and A. P. Vinod, "Biometric Identification using Single Channel EEG During Relaxed Resting State," IET Biometrics, October 2017.

Kavitha P. Thomas and A. P. Vinod, "Toward EEG based Biometric Systems: The Great Potential of Brain-wave based Biometric Systems," IEEE Systems, Man, and Cybernetics Magazine, vol. 3, no. 4, pp. 6 - 15, October 2017.

Vikram Shenoy, A. P. Vinod and Cuntai Guan, “A novel supervised locality sensitive factor Analysis to classify voluntary hand movement in multi-direction using EEG source space,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2016), Budapest, Hungary, October 2016.

Kavitha P. Thomas and A. P. Vinod, “Biometric identification of persons using sample entropy features of EEG during rest state,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2016), Budapest, Hungary, October 2016.

Mahesh K., Smitha K. G. and A. P. Vinod, “Voice familiarity detection using EEG-based Brain-Computer Interface,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2016), Budapest, Hungary, October 2016.

Kavitha P. Thomas and A. P. Vinod, “A study on the impact of neurofeedback in EEG based attention-driven game,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2016), Budapest, Hungary, October 2016.

Harshit Singh, Rajbir Singh, Kavitha P. Thomas, Smitha K. G. and A. P. Vinod, “Online Electroencephalogram (EEG) based Biometric Authentication using Visual and Audio Stimuli,” 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, Kuala Lumpur, Malaysia, December 2016.

Kavitha P. Thomas and A. P. Vinod, “EEG based biometric recognition using subject-specific alpha peak frequency and delta band power,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2016), Budapest, Hungary, October 2016.

Vikram Shenoy Handiru and A. P. Vinod, “Optimized Bi-Objective EEG Channel Selection and Cross-Subject Generalization With Brain–Computer Interfaces,” IEEE Transactions on Human Machine Systems, pp. 777-786, vol. 46, no. 6, December 2016.

Neethu Robinson and A. P. Vinod, "Non-Invasive Brain-Computer Interface: Decoding arm movement kinematics and motor control" IEEE Systems, Man, and Cybernetics Magazine, vol. 2, no. 4, pp. 4-16, October 2016.

Neethu Robinson, A. D. Zaidi, Mohit Rana, A. P. Vinod, Guan Cuntai, Niels Birbaumer and Ranganatha Sitaram, "Real-time subject independent pattern classification of overt and covert movements from fNIRS signals," PLOS ONE, July 2016.

Vikram Shenoy, A. P. Vinod and Cuntai Guan, “Cortical source localization for analysing single-trial motor imagery EEG,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), Hong Kong, October 2015.

Neethu Robinson and A. P. Vinod, “Bi-directional imagined hand movement classification using low-cost EEG-based BCI,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), Hong Kong, October 2015.

Tan Ernest, Smitha K. G. and A. P. Vinod, “Detection of familiar and unfamiliar images using EEG-based Brain-Computer Interface,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), Hong Kong, October 2015

Tushar Chouhan, Ankit Panse, Smitha K. G. and A. P. Vinod, “A comparative study on the effect of audio and visual stimuli for enhancing attention and memory in Brain Computer Interface System,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), Hong Kong, October 2015.

N. Robinson, A. D. Zaidi, M. Rana, A. P. Vinod, C. T. Guan, N. Birbaumer, R. Sitaram, “Real-time fNIRS-BCI system for subject-independent pattern classification of overt and covert movements,” Proc. of Real-time Functional Imaging and Neurofeedback Conference, Gainesville, Florida, Feb. 2015.

Vikram Shenoy, A. P. Vinod and Cuntai Guan, “Shrinkage estimator based regularization for EEG motor imagery Classification,” 10th IEEE International Conference on Information, Communications and Signal Processing (ICICS 2015), Singapore, December 2015.

Neethu Robinson, Cuntai Guan and A. P. Vinod, "Adaptive estimation of hand movement trajectory in an EEG based brain-computer interface system," Journal of Neural Engineering, vol. 12, no. 6, October 2015.

Neethu Robinson, A. P. Vinod and Cuntai Guan, “Spatio-Temporal variations in hand movement trajectory based brain activation patterns,” 13th IEEE International Conference on Control, Automation, Robotics and Vision (ICARV 2014), Singapore, December 2014.

Vikram Shenoy and A. P. Vinod, “An Iterative Optimization Technique for Robust Channel Selection in Motor Imagery based Brain Computer Interface,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, USA, October 2014.

Kavitha P. Thomas, A. P. Vinod and Cuntai Guan, “Evaluation of EEG features during Overt Visual Attention during Neurofeedback Game,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, USA, October 2014.

Alvin Khong, Jiangnan Lin, Kavitha P. Thomas and A. P. Vinod, “BCI based Multi-player 3-D Game Control using EEG for Enhancing Attention and Memory,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, USA, October 2014.

Sun Shenjie, Kavitha P. Thomas, Smitha K. G. and A. P. Vinod, “Two Player EEG-based Neurofeedback Ball Game for Attention Enhancement,” IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, USA, October 2014.

Smitha K. G., Neethu Robinson and A. P. Vinod, A study on the effect of emotion evoking videos on physiological signals,” 2nd IEEE International Conference on Devices, Circuits and Systems, Coimbatore, India, March 2014.

Kavitha P. Thomas, A. P. Vinod and Cuntai Guan, “Design of an online EEG based neurofeedback game for enhancing attention and memory,” 35th Annual International IEEE EMBS Conference, Sandiego, USA, November 2013.

Kavitha Thomas, A. P. Vinod and Guan Cuntai, “Enhancement of attention and cognitive skills using EEG based neurofeedback game”, 2013 6th International IEEE/EMBS Conference on Neural Engineering, pages 21-24, San Diego, USA, November 2013.

Neethu Robinson, A. P. Vinod, Cuntai Guan, “Hand movement trajectory reconstruction from EEG for brain-computer interface systems,” IEEE Systems, Man and Cybernetics, Manchester, United Kingdom, October 2013.

Neethu Robinson, Cuntai Guan, A. P. Vinod, A. K. Ang and K. P. Tee, “Multi-class EEG classification of voluntary hand movement directions,” Journal of Neural Engineering, vol. 10, no. 5, October 2013.

Neethu Robinson, A. P. Vinod, Kai Keng Ang, Tee Keng Peng and Guan Cuntai, “EEG-based classification of fast and slow hand movements using wavelet-CSP algorithm,” IEEE Transactions on Biomedical Engineering, vol. 60, no. 8, pp. 2123-2132, August 2013.

Divya Swaminathan, A. P. Vinod and Kavitha P. Thomas, “An electrooculogram based assistive communication system with improved speed and accuracy using multi-directional eye movements,” 35th International Conference on Telecommunications and Signal Processing (TSP),Prague, Czech Republic, July 2012.

Neethu Robinson, A. P. Vinod, Cuntai Guan, Kai Keng Ang and Tee Keng Peng, “A modified wavelet-common spatial pattern method for decoding hand movement directions in brain computer interfaces,” 2012 IEEE International Joint Conference on Neural Networks, Brisbane, Australia, June 2012.

Kavitha P. Thomas, C. T. Guan, Lau Chiew Tong, A. P. Vinod and Ang Kai Keng, “Adaptive tracking of discriminative frequency components in EEG for a robust Brain-Computer Interface,” Journal of Neural Engineering, vol. 8, no. 3, June 2011.

Vikram Shenoy Handiru, A. P. Vinod and Guan Cuntai "EEG Source Space Analysis of Supervised Factor Analytic Approach for the Classification of Multi-directional Arm Movement," Journal of Neural Engineering, 14(4):046008,