Publications

International Conferences
• Memon, K., Kumar, D. and Usman, S., 2011. Next generation a secure e-voting system based on biometric fingerprint method. In International Conference on Information and Intelligent Computing (IPCSIT) (pp. 26-32).
  


• Usman, S.M. and Hassan, A., 2018. Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features. Journal of Computers, 13(6), pp.616-622.
  

International Journals
• Usman, S.M., Usman, M. and Fong, S., 2017. Epileptic seizures prediction using machine learning methods. Computational and mathematical methods in medicine, 2017. (Impact Factor: 2.238)
  


• Syed Muhammad Usman, Shahzad Latif, Arshad Beg, "Principle components analysis for seizures prediction using wavelet transform", International journal of ADVANCED AND APPLIED SCIENCES, Volume 6, Issue 3 (March 2019), Pages: 50-55 (ISI Indexed)
  


• Usman, S.M., Khalid, S., Akhtar, R., Bortolotto, Z., Bashir, Z. and Qiu, H., 2019. Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies. Seizure. (Impact Factor: 3.184)
  


• Usman, Shahzad, Haseeb, "Epileptic Seizures Prediction Using Deep Learning Techniques" accepted for publication in IEEE Access (Impact Factor: 3.367)
  


• Usman, S.M., Khalid, S. and Bashir, Z., 2021. Epileptic seizure prediction using scalp electroencephalogram signals. Biocybernetics and Biomedical Engineering, 41(1), pp.211-220. (Impact Factor: 4.314)
  


• Usman, S.M., Khalid, S. and Bashir, S., 2021. A deep learning based ensemble learning method for epileptic seizure prediction. Computers in Biology and Medicine, p.104710. (Impact Factor: 4.589)
  


• Syed Muhammad Usman, Shehzad Khalid, Sohail Jabbar and Sadaf Bashir. "Detection of preictal state in epileptic seizures using ensemble classifier." Epilepsy Research (Accepted for Publication) ISI Indexed [Impact Factor: 3.045]