MIAN QAISAR Saeed

Thèmes de recherche

Systèmes piloté par des événement, Traitement du signal, Apprentissage automatique (Machine Learning, Deep learning), Science des données, Réduction de dimension, Optimisation métaheuristique, Théorie de l'échantillonnage, Bio-informatique, Circuits et systèmes, Génie biomédical, Efficacité énergétique, Systèmes de gestion de batterie, Smart Grid, Scanners de tomographie par émission de positons, Circuits logiques, Systèmes embarqués, Analyse Temps-Fréquence, Analyse multirésolution, Traitement aux taux multiple.

Programmes de recherche en cours

• Proficient Monitoring System for Li-Ion Batteries State of Health Estimation for Smart Grid Energy Storage (2020-2023) Contribution: Principle Investigator
• Load Recognition by Interpreting the Smart Meter Data: A Perspective for Energy Management in Smart Grid (2020-2023) Contribution: Principle Investigator
• Modeling and Event-Driven Processing Based Elucidation of the Power Quality Disturbances in smart grids (2020-2023) Contribution: Principle Investigator
• Hybridization of Decomposition with Optimization and Ensemble Learning Techniques for Scheziopherinia Detection by Processing the Multivariate EEG Signals  (2022-2023) Contribution: Principle Investigator
• Automated Detection and Classification of Leukemia Using Deep Learning (2022-2024) Contribution: Co Investigator

Animation scientifique et vie de laboratoire

• Plos One [Éditeur académique]
• https://journals.plos.org/plosone/static/editorial-board, rechercher “Saeed Mian Qaisar” 
• Journal of Healthcare Engineering [Éditeur académique]
• https://www.hindawi.com/journals/jhe/editors/#editorial-board 
• Frontiers in Signal Processing, Biomedical Signal Processing [Éditeur académique]
• https://loop.frontiersin.org/people/1371195/overview 
• Signal Processing Letters, IEEE [Reviewer] 
• Sensors, IEEE [Reviewer]
• Circuits and Systems, IEEE [Reviewer]
• Methods, Elsevier [Reviewer]
• Computer Methods and Programs in Biomedicine, Elsevier [Reviewer]
• Computers in Biology and Medicine, Elsevier [Reviewer]
• Biocybernetics and Biomedical Engineering, Elsevier [Reviewer]
• Journal of Ambient Intelligence and Humanized Computing, Springer [Reviewer]
• Physical and Engineering Sciences in Medicine, Springer [Reviewer]
• Biomedical Signal Processing and Control, Elsevier [Reviewer]
• Applied Energy, Elsevier [Reviewer]
• Journal of Energy Storage, Elsevier [Reviewer]
• Sensors, MDPI [Reviewer]
• Energies, MDPI [Reviewer]
• Electronics, MDPI [Reviewer]
• International Conference on Event Based Control Communication and Signal Processing (EBCCSP) (2015 à aujourd'hui) [Comité technique]
• IEEE International Conference on Signal and Image Processing (ICSIP) (2017-Present) [Comité technique]
• International Conference on Electrical and Computing Technologies and Applications (ICECTA2019)  [Comité technique]
• BioInformatics and Bioengineering (BIBE2020) [Comité technique]
• International Conference on Physics, Mathematics and Statistics (ICPMS2020) [Comité technique]
• The 2nd International Scientific-Practical Conference on "Modern Information Measurement and Control Systems: Problems and Perspectives 2020 (MIMCS’2020)" [Comité technique]
• Learning and Technology Conference (L&T) (2017 à aujourd'hui) [Comité technique]
• International Conference on Graphics and Image Processing (ICGIP) (2020-Present) [Comité technique]
• International Conference on Electrical and Computing Technologies and Applications (ICECTA2019)  [Comité technique]
• International Conference on Electrical and Computing Technologies and Applications (ICECTA2019)  [Comité technique]
• The international conference on Information and Knowledge Systems (ICIKS2023) [Comité technique]

Publications sélectionnées

• Hassan, F., Hussain, S. F., & Qaisar, S.M. (2023). Fusion of Multivariate EEG Signals for Schizophrenia Detection using CNN and Machine Learning Techniques. Information Fusion. https://doi.org/10.1016/j.inffus.2022.12.019  17.56 ISI & SCOPUS [Q1]
• Haider, U., Waqas, M., Hanif, M., Alasmary, H., & Qaisar, S. M. (2023). Network load prediction and anomaly detection using ensemble learning in 5G cellular networks. Computer Communications. https://doi.org/10.1016/j.comcom.2022.10.017  5.05 ISI & SCOPUS [Q1]
• Qaisar, S.M., Khan, S.I., Srinivasan, K. and Krichen, M., (2022). Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition. Journal of King Saud University- Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2022.05.009  8.84 ISI & SCOPUS [Q1]
• Ali S.U., Waqar A., Aamir M., Qaisar S.M., Iqbal J., (2022). Model Predictive Control of Consensus-based Energy Management System for DC Microgrid. PLOS ONE. https://doi.org/10.1371/journal.pone.0278110  3.75 ISI & SCOPUS [Q1]
• Haroon, F., Aamir, M., Waqar, A., Qaisar, S.M., Ali, S. U., & Almaktoom, A. T. (2023). A Composite Exponential Reaching Law Based SMC with Rotating Sliding Surface Selection Mechanism for Two Level Three Phase VSI in Vehicle to Load Applications. Energies, 16(1), 346.  https://doi.org/10.3390/en16010346  3.25 ISI & SCOPUS [Q1]
• Khan, H., Nizami, I. F., Qaisar, S. M., Waqar, A., Krichen, M., & Almaktoom, A. T. (2022). Analyzing optimal battery sizing in microgrids based on the feature selection and machine learning approaches. Energies, 15(21), 7865. https://doi.org/10.3390/en15217865  3.25 ISI & SCOPUS [Q1]
• Abbas, A., Qaisar, S.M., Waqar, A., Ullah, N. and Al-Ahmadi, A.A., (2022). Min-Max Regret-Based Approach for Sizing and Placement of DGs in Distribution System under a 24 h Load Horizon. Energies. https://doi.org/10.3390/en15103701  3.25 ISI & SCOPUS [Q1]
• Zidi, S., Mihoub, A., Qaisar, S.M., Krichen, M. and Al-Haija, Q.A., (2022). Theft Detection Dataset for Benchmarking and Machine Learning based Classification in a Smart Grid Environment. Journal of King Saud University- Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2022.05.007    8.84 ISI & SCOPUS [Q1]
• Qaisar, S.M., Khan, S.I., Dallet, D., Tadeusiewicz, R. and Pławiak, P., (2022). Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare. Biocybernetics and Biomedical Engineering. https://doi.org/10.1016/j.bbe.2022.05.006     5.69 ISI & SCOPUS [Q1]
• Hassan F., Hussain F., Qaisar S.M., (2022). Epileptic Seizure Detection using a Hybrid 1D CNN-Machine Learning approach from EEG data. Journal of Healthcare Engineering. https://doi.org/10.1155/2022/9579422  3.82 ISI & SCOPUS [Q2]
• Salankar, N. and Qaisar, S.M., (2022). EEG based Stress Classification by using Difference Plots of Variational Modes and Machine Learning. Journal of Ambient Intelligence and Humanized Computing, 1-15. https://doi.org/10.1007/s12652-022-03856-3   3.66 ISI & SCOPUS [Q1]
• Salankar, N., Qaisar, S. M., Pławiak, P., Tadeusiewicz, R., & Hammad, M. (2022). EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning. Biocybernetics and Biomedical Engineering. https://doi.org/10.1016/j.bbe.2021.12.009  5.69 ISI & SCOPUS [Q1]
• Hussain, S. F., & Qaisar, S. M. (2022). Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier. Expert Systems with Applications, 191, 116356. https://doi.org/10.1016/j.eswa.2021.116356      8.67 ISI & SCOPUS [Q1]
• Khan, S. I., Qaisar, S. M., & Pachori, R. B. (2022). Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features. Biomedical Signal Processing and Control, 73, 103445. https://doi.org/10.1016/j.bspc.2021.103445  5.08 ISI & SCOPUS [Q1]
• Narayanasamy, S. K., Srinivasan, K., Qaisar, S. M, & Chang, C. Y. (2021). Ontology-enabled Emotional Sentiment Analysis on COVID-19 Pandemic related Twitter Streams. Frontiers in Public Health.  https://www.frontiersin.org/articles/10.3389/fpubh.2021.798905/full   6.46 ISI & SCOPUS [Q1]
• Qaisar, S. M. (2021). Signal-piloted processing and machine learning based efficient power quality disturbances recognition. Plos one, 16(5), e0252104. https://doi.org/10.1371/journal.pone.0252104  3.24 ISI & SCOPUS [Q1]
• Qaisar, S. M., & Hussain, S. F. (2021). An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection. Journal of Ambient Intelligence and Humanized Computing, 1-15. https://doi.org/10.1007/s12652-021-03275-w  3.66 ISI & SCOPUS [Q1]
• Qaisar, S. M., & Fawad Hussain, S. (2021), Effective Epileptic Seizure Detection by Using Level-Crossing EEG Sampling Sub-Bands Statistical Features Selection and Machine Learning for Mobile Healthcare, Computer Methods and Programs in Biomedicine, 106034. https://doi.org/10.1016/j.cmpb.2021.106034 7.03 ISI & SCOPUS [Q1]
• Qaisar, S. M., Mihoub, A., Krichen, M., &Nisar, H. (2021). Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. Sensors, 21(4), 1511.https://doi.org/10.3390/s21041511 3.84 ISI & SCOPUS [Q1]
• Subasi, A., & Qaisar, S. M. (2021). The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface. Journal of Healthcare Engineering, 2021. https://doi.org/10.1155/2021/1970769  3.82 ISI & SCOPUS [Q2]
• Mukhtar, H., Qaisar, S. M., & Zaguia, A. (2021). Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals. Sensors, 21(16), 5456. https://doi.org/10.3390/s21165456  3.84 ISI & SCOPUS [Q1]
• Kaliappan, J., Srinivasan, K., Qaisar, S. M., Sundararajan, K., Chang, C. Y., & Suganthan, C. (2021). Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate. Frontiers in Public Health, NA-NA. https://doi.org/10.3389/fpubh.2021.729795  6.46 ISI & SCOPUS [Q1]
• Qaisar, S. M. (2020). Event-Driven Coulomb Counting for Effective Online Approximation of Li-ion Battery State of Charge. Energies, 13(21), 5600.https://doi.org/10.3390/en13215600 3.25 ISI & SCOPUS [Q1]
• Qaisar, S. M., &Subasi, A. (2020). Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques. Physical and Engineering Sciences in Medicine, 43(2), 623-634.https://doi.org/10.1007/s13246-020-00863-6 7.10 ISI & SCOPUS [Q1]
• Qaisar, S. M. (2019). Efficient mobile systems based on adaptive rate signal processing. Computers & Electrical Engineering, 79, 106462.https://doi.org/10.1016/j.compeleceng.2019.106462 4.15 ISI & SCOPUS [Q1]