Research record
Publications
Journal articles, conference papers, and book chapters.
Journal articles
Resolution-Induced Collapse in Quantized Nonlinear Dynamics: A Finite-Horizon Structural Framework
Electronics, 15(15), 3364 · 2026
doi: 10.3390/electronics15153364System-level FPGA validation of a trainable and robust multiplier-free spiking neural network
iScience, 29(6), 115985 · 2026
doi: 10.1016/j.isci.2026.115985Integer-State Dynamics in Quantized Spiking Neural Networks: Implications for Hardware-Oriented Design
Electronics, 15(8), 1756 · 2026
doi: 10.3390/electronics15081756Personalized sleep-aiding music intervention for insomnia: A closed-loop neurofeedback approach
Sleep Medicine, 134, 106693 · 2025
doi: 10.1016/j.sleep.2025.106693FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification
Sensors, 24(3), 897 · 2024
doi: 10.3390/s24030897Sleep-aiding music therapy for insomnia: Exploring EEG functional connectivity of sleep-related attentional bias
Sleep Medicine, 122, 149-162 · 2024
doi: 10.1016/j.sleep.2024.08.015Optimization of Patient Specific Stimulus for Deep Brain Stimulation Using Spatially Distributed Neural Sources
IEEE Transactions on Artificial Intelligence, 5(2), 786-800 · 2024
doi: 10.1109/TAI.2023.3282199Complex-Exponential-Based Bio-Inspired Neuron Model Implementation in FPGA Using Xilinx System Generator and Vivado Design Suite
Biomimetics, 8(8), 621 · 2023
doi: 10.3390/biomimetics8080621Exploring the untapped potential of solar photovoltaic energy at a smart campus: Shadow and cloud analyses
Energy & Environment, 33(3), 511-526 · 2022
doi: 10.1177/0958305X211008998Impact of Membrane Resistance on Width and Amplitude of Spikes in Different Injected Currents in One Spiking Neural Model
WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS, 20, 196-202 · 2021
doi: 10.37394/23201.2021.20.22Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals
Neural Networks, 130, 75-84 · 2020
doi: 10.1016/j.neunet.2020.06.018Time series forecasting of COVID-19 transmission in Canada using LSTM networks
Chaos, Solitons & Fractals, 135, 109864 · 2020
doi: 10.1016/j.chaos.2020.109864Adaptation of dynamical properties of time series data and its applications in deep brain stimulation
Nonlinear Dynamics, 99(4), 3231-3251 · 2020
doi: 10.1007/s11071-019-05453-0Building Logistic Spiking Neuron Models Using Analytical Approach
IEEE Access, 7, 80443-80452 · 2019
doi: 10.1109/ACCESS.2019.2921003Evaluating the Effects of Size and Precision of Training Data on ANN Training Performance for the Prediction of Chaotic Time Series Patterns
International Journal of Software Science and Computational Intelligence, 11(1), 16-30 · 2019
doi: 10.4018/ijssci.2019010102Chaotic System Design Based on Recurrent Artificial Neural Network for the Simulation of EEG Time Series
International Journal of Cognitive Informatics and Natural Intelligence, 13(1), 25-35 · 2019
doi: 10.4018/ijcini.2019010103Optimizing ANN Training Performance for Chaotic Time Series Prediction Using Small Data Size
International Journal of Machine Learning and Computing, 8(6), pp. 606–612 · 2018
doi: 10.18178/ijmlc.2018.8.6.753
Conference papers
Hardware-Aware Training of Spiking Neural Networks: A Fixed-Point DFT-LMS Co-Design for FPGA Acceleration
2026 7th International Conference on Computing, Networks and Internet of Things (CNIOT), 1-5 · 2026
doi: 10.1109/CNIOT69547.2026.11582400Logarithmic encoding and accelerated training algorithm for spiking neural networks
Proc. SPIE, vol. 14068, Ninth International Conference on Video and Image Processing (ICVIP 2025), Art. no. 140680J · 2026
doi: 10.1117/12.3107987Evaluation of Spiking Neural Network Architecture for Image Classification Using Binary Encoding
2025 5th International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA), 181-187 · 2025
doi: 10.1109/CMSDA68297.2025.11414386Cutting FLOPs Overhead with SNT and LReSuMe: A Noise-Tolerant Spiking Classifier
2025 5th International Conference on Advanced Algorithms and Neural Networks (AANN), 553-560 · 2025
doi: 10.1109/AANN66429.2025.11257731A Model-Based Spiking Neural Network Design for Real-time Spectra Analysis Using LMS Algorithm
2025 8th International Conference on Artificial Intelligence and Big Data (ICAIBD), 678-683 · 2025
doi: 10.1109/ICAIBD64986.2025.11082032Optimized Spiking Neural Network for Chaotic System Prediction in FPGA
2025 IEEE International systems Conference (SysCon), 1-8 · 2025
doi: 10.1109/SysCon64521.2025.11014876Time–Frequency Analysis of Phase Encoding in Spiking Neural Networks Using Polar Coordinates
2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 879-883 · 2024
doi: 10.1109/ICIBA62489.2024.10868589Spike Frequency Adaptation for A Novel Logistic Spiking Neuron Model
2024 IEEE International Conference on Data, Information, Knowledge and Wisdom (DIKW), 57-64 · 2024
doi: 10.1109/DIKW64278.2024.00018Phase encoding and time-frequency analysis in polar coordinates for spiking neural network design
Proc. SPIE, vol. 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), Art. no. 134161A · 2024
doi: 10.1117/12.3049556Mitigating Infectious Disease Transmission with Face Mask Detection Using Machine Learning
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 423-427 · 2023
doi: 10.1109/CCECE58730.2023.10288919An Efficient VHDL Implementation of two Artificial Neural Networks on Zynq-7000 FPGA
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 371-376 · 2023
doi: 10.1109/CCECE58730.2023.10288905Polar Representation of 2D Image Using Complex Exponential Spiking Neuron Network
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 180-186 · 2023
doi: 10.1145/3605731.3608932Spiking Neural Network Implementation on FPGA for Multiclass Classification
2023 IEEE International Systems Conference (SysCon), 1-8 · 2023
doi: 10.1109/SysCon53073.2023.10131076Neural Dynamics Analysis for A Novel Bio-inspired Logistic Spiking Neuron Model
2023 IEEE International Conference on Consumer Electronics (ICCE), 1-6 · 2023
doi: 10.1109/ICCE56470.2023.10043551Oscillation Patterns of A Complex Exponential Neural Network
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 423-430 · 2022
doi: 10.1109/WI-IAT55865.2022.00069Dynamic Analysis of Neural Network Oscillation Using Routh-Hurwitz Method
Proceedings of CASCON X EVOKE 2022 (CASCON’22) · 2022
doi: 10.5555/3566055.3566073A Bio-Inspired Neural Network for Modelling COVID-19 Transmission in Canada
2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 281-287 · 2022
doi: 10.1109/CCECE49351.2022.9918369Nonlinear Autoregressive Model Design and Optimization Based on ANN for the Prediction of Chaotic Patterns in EEG Time Series
Biomedical Engineering and Computational Intelligence (BIOCOM 2018), Lecture Notes in Computational Vision and Biomechanics, vol. 32, pp. 51–60 · 2020
doi: 10.1007/978-3-030-21726-6_5EEG Signals Feature Extraction and Artificial Neural Networks Classification for The Diagnosis of Schizophrenia
2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 68-75 · 2020
doi: 10.1109/ICCICC50026.2020.9450257Improved Spiking Neural Networks with multiple neurons for digit recognition
2020 11th International Conference on Awareness Science and Technology (iCAST), 1-10 · 2020
doi: 10.1109/iCAST51195.2020.9319475EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4521-4524 · 2019
doi: 10.1109/EMBC.2019.8857946Real Time Fixed Point Adaptive Chaotic System Generator for Deep Brain Stimulation Using FPGA
2018 International Conference on Frontiers of Information Technology (FIT), 182-187 · 2018
doi: 10.1109/FIT.2018.00039Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1358-1365 · 2018
doi: 10.1109/icmla.2018.00221Time Series Generation Using Nonlinear Autoregressive Model Artificial Neural Network Based Nonlinear Autoregressive Model Design for the Generation and Prediction of Lorenz Chaotic System
2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 651-655 · 2018
doi: 10.1109/MWSCAS.2018.8623992Improving the Efficacy of Artificial Neural Network Training by Optimizing Training Data for the Simulation and Prediction of Electroencephalogram Chaotic Patterns
2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), pp. 145-153 · 2018
doi: 10.1109/icci-cc.2018.8482071Artificial Neural Network Based Chaotic System Design for the Simulation of EEG Time Series
2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 217-221 · 2018
doi: 10.1109/ICCI-CC.2018.8482017Evaluating the Training Performance of Artificial Neural Network Using Small Time Series Segments of The Lorenz Chaotic System
2018 International Joint Conference on Neural Networks (IJCNN), 1-8 · 2018
doi: 10.1109/IJCNN.2018.8489573Artificial Neural Network Architecture Design for EEG Time Series Simulation Using Chaotic System
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 388-393 · 2018
doi: 10.1109/ICIEV.2018.8641053Artificial Neural Network Modelling of Rossler's and Chua's Chaotic Systems
2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), 1-4 · 2018
doi: 10.1109/CCECE.2018.8447604FPGA Hardware Implementation and Optimization for Neural Network based Chaotic System Design
Proceedings of the 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, 1-6 · 2018
doi: 10.1145/3241793.3241812Artificial neural networks model design of Lorenz chaotic system for EEG pattern recognition and prediction
2017 IEEE Life Sciences Conference (LSC), 39-42 · 2017
doi: 10.1109/LSC.2017.8268138Multilayer Artificial Neural Network Design and Architecture Optimization for the Pattern Recognition and Prediction of EEG Signals Based on Hénon Map Chaotic System
2017 International Conference on Computational Science and Computational Intelligence (CSCI), 345-350 · 2017
doi: 10.1109/CSCI.2017.58Hénon map chaotic system critical points analysis and classification for the dynamic control of brain stimulation
2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 1-4 · 2017
doi: 10.1109/INTERCON.2017.8079642Artificial neural network model-based design and fixed-point FPGA implementation of hénon map chaotic system for brain research
2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 1-4 · 2017
doi: 10.1109/INTERCON.2017.8079643Implementation of Fixed-point Neuron Models with Threshold, Ramp and Sigmoid Activation Functions
IOP Conference Series: Materials Science and Engineering, vol. 224, Art. no. 012054 (ICMMR 2017) · 2017
doi: 10.1088/1757-899X/224/1/012054System generator model-based FPGA design optimization and hardware co-simulation for Lorenz chaotic generator
2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 170-174 · 2017
doi: 10.1109/ACIRS.2017.7986087Real-time feature extraction for multi-channel EEG signals time-frequency analysis
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 493-496 · 2017
doi: 10.1109/NER.2017.8008397Hénon map chaotic system analysis and VHDL-based fixed-point FPGA implementation for brain stimulation
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 1-4 · 2017
doi: 10.1109/CCECE.2017.7946761Artificial Neural Network model design and topology analysis for FPGA implementation of Lorenz chaotic generator
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 1-4 · 2017
doi: 10.1109/CCECE.2017.7946635Rössler-based chaotic communication system implemented on FPGA
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 1-4 · 2017
doi: 10.1109/CCECE.2017.7946729Fixed-point FPGA model-based design and optimization for Henon map chaotic generator
2017 IEEE 8th Latin American Symposium on Circuits & Systems (LASCAS), 1-4 · 2017
doi: 10.1109/LASCAS.2017.7948065Maximum entropy based common spatial patterns for motor imagery classification
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5865-5868 · 2016
doi: 10.1109/EMBC.2016.7592062Ultrasonic inspection of underwater guy wires with applications to floating oil platforms
2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 1-4 · 2016
doi: 10.1109/CCECE.2016.7726688A multichannel data acquisition system design for Guided Waves Ultrasound Testing
2014 IEEE Far East Forum on Nondestructive Evaluation/Testing, 93-97 · 2014
doi: 10.1109/FENDT.2014.6928240FPGA Embedded System Design of Multi-Channel Guided Waves Ultrasonic Testing Instrument for Pipeline Inspection
ICPTT 2012: International Conference on Pipelines and Trenchless Technology, pp. 987–995 · 2012
doi: 10.1061/9780784412619.101Improved Performance of Guided Wave Ultrasonic Testing for Long Range Inspection of Pipelines using Multi-Channel Systems
Proceedings of the 3rd Gas Processing Symposium, pp. 249-256 · 2012
doi: 10.1016/b978-0-444-59496-9.50035-7
Book chapters
Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring
Studies in Big Data, AI and Machine Learning Paradigms for Health Monitoring System, 203-216 · 2021
doi: 10.1007/978-981-33-4412-9_13Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19
AI and Machine Learning Paradigms for Health Monitoring System, pp. 147–154 · 2021
doi: 10.1007/978-981-33-4412-9_8
Conference abstract
Generating Custom Time Series Signals Using Recurrent Neural Network Based EEG Patterns for Transcranial Current Brain Stimulation
Brain Stimulation, 12(2), 552-553 · 2019
doi: 10.1016/j.brs.2018.12.826