| QUALIFICATION |
| DEGREE |
PASSING YEAR |
MAJORS |
UNIVERSITY |
| BS Computer System Engineering |
2010 |
- |
The Islamia University of Bahawalpur |
| MS Computer Engineering |
2016 |
- |
National University of Science and Technology |
| Ph.D Computer Engineering |
2021 |
- |
Bahria University, Islamabad Campus |
| TEACHING EXPERIENCE |
| DESIGNATION |
FROM |
TO |
ORGANIZATION |
| Teaching Assistant |
01-Mar-2015 |
01-Feb-2016 |
CEME, NUST |
| Lecturer |
01-Jan-2017 |
01-Feb-2022 |
Department of Computer Science, SZABIST University, Islamabad Campus |
| Assistant Professor (HEC Approved Ph.D Supervisor) |
01-Mar-2022 |
01-Jul-2024 |
Department of Creative Technologies, Faculty of Computing and AI, Air University |
| Senior Assistant Professor (HEC Approved Ph.D Supervisor) |
01-Aug-2024 |
Present |
Department of Computer Science, BSEAS, Bahria University, Islamabad |
| PUBLICATIONS |
| Books and Reports |
| International Conferences |
| 1 |
Arslan, Muhammad, Muhammad Mubeen, and Syed Muhammad Usman.“Object Detection for
Autonomous Vehicles in Urban Areas Using Deep Learning.” In Proceedings of the Future Tech-
nologies Conference, pp. 60-75. Cham: Springer Nature Switzerland, 2024. |
|
| 2 |
Usman, S.M., Syed Nehal Hassan Shah , Nevena Dicheva, Ikram Ur Rehman,Samia Zaib, 2024,
February. Integrating Advanced Healthcare AI into Higher Education of Smart Cities: Skin Can-
cer Classification with Custom Vision Transformers. Accepted for Publication In The 2nd Inter-
national Conference on Sustainability: Developments and Innovations. |
|
| 3 |
Usman, S.M., Shah, S.M.A., Edo, O.C. and Emakhu, J., 2023, March. A Deep Learning Model
for Classification of EEG Signals for Neuromarketing. In 2023 International Conference on IT
Innovation and Knowledge Discovery (ITIKD) (pp. 1-6). IEEE. |
|
| 4 |
Tahir, H.U.A., Waqar, A., Khalid, S. and Usman, S.M., 2022, May. Wildfire detection in aerial
images using deep learning. In 2022 2nd International Conference on Digital Futures and Trans-
formative Technologies (ICoDT2) (pp. 1-7). IEEE. |
|
| 5 |
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. |
|
| 6 |
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 Comput-
ing (IPCSIT) (pp. 26-32). |
|
| Journal Publications |
| 1 |
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:
7.0) |
|
| 2 |
Usman, S.M., Khalid, S. and Bashir, Z., 2021. Epileptic seizure prediction using scalp electroen-
cephalogram signals. Biocybernetics and Biomedical Engineering, 41(1), pp.211-220. (Impact
Factor: 5.3) |
|
| 3 |
Akbar, Frnaz, Imran Taj, Syed Muhammad Usman, Ali Shariq Imran, Shehzad Khalid, Imran
Ihsan, Ammara Ali, and Amanullah Yasin. “Unlocking the Potential of EEG in Alzheimer’s
Disease Research: Current Status and Pathways to Precision Detection”, Brain Research Bulletin
(2025): 111281 (Impact Factor: 3.4) |
|
| 4 |
Shah, Syed Abdullah, Imran Taj, Syed Muhammad Usman, Syed Nehal Hassan Shah, Ali Shariq
Imran, and Shehzad Khalid. “A hybrid approach of vision transformers and CNNs for detection
of ulcerative colitis.” Scientific Reports 14, no. 1 (2024): 24771.(Impact Factor: 3.8) |
|
| 5 |
Muhammad Zubair, Muhammad Zubair, Muhammad Owais, Tahir Mahmood, Saeed Iqbal, Syed
Muhammad Usman, Irfan Hussain “Enhanced gastric cancer classification and quantification in-
terpretable framework using digital histopathology images”, Scientific Reports, Sci Rep 14, 22533
(2024). https://doi.org/10.1038/s41598-024-73823-9 (Impact Factor: 3.8) |
|
| 6 |
Amna Waheed, Imran Taj, Syed Muhammad Usman, Shehzad Khalid, Ali Shariq Imran, Muham-
mad Usman Akram “Advancing Emotional Health Assessments: A Hybrid Deep Learning Ap-
proach Using Physiological Signals for Robust Emotion Recognition”, IEEE Access, Accepted for
publication, 2024. (Impact Factor: 3.4) |
|
| 7 |
Akbar, Frnaz, Yassine Aribi, Syed Muhammad Usman, Hamzah Faraj, Ahmed Murayr, Fawaz
Alasmari, and Shehzad Khalid. “Automated lesion detection in cotton leaf visuals using deep
learning.” PeerJ Computer Science 10 (2024): e2369.(Impact Factor: 3.5) |
|
| 8 |
Usman, S.M., Khalid, S., Jabbar, S. and Bashir, S., 2021. Detection of preictal state in epileptic
seizures using ensemble classifier. Epilepsy Research, p.106818.(Impact Factor: 2.0) |
|
| 9 |
Usman, S.M., Khalid, S. and Aslam, M.H., 2020. Epileptic seizures prediction using deep learning
techniques. IEEE Access, 8, pp.39998-40007. (Impact Factor: 3.4) |
|
| 10 |
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, 71, pp.258-269. (Impact Factor: 2.7) |
|
| 11 |
Y. Maqsood, S.M. Usman, M. Alhussein, K. Aurangzeb, S. Khalid, and M. Zubair “Model Agnostic
Meta-Learning (MAML)-Based Ensemble Model for Accurate Detection of Wheat Diseases Using
Vision Transformer and Graph Neural Networks,” Comput. Mater. Contin., vol. 79, no. 2, pp.
2795-2811. 2024. (Impact Factor: 2.0) |
|
| 12 |
Aslam, M.H.; Usman, S.M.; Khalid, S.; Anwar, A.; Alroobaea, R.; Hussain, S.; Almotiri, J.; Ullah,
S.S.; Yasin, A. Classification of EEG Signals for Prediction of Epileptic Seizures. Applied Sciences
2022, 12, 7251. (Impact Factor: 2.5) |
|
| 13 |
Syed Muhammad Usman, Shahzad Latif, Arshad Beg, “Principle components analysis for seizures
prediction using wavelet transform”, International journal of ADVANCED AND APPLIED SCI-
ENCES, Volume 6, Issue 3 (March 2019), Pages: 50-55 (Impact Factor: 0.4) |
|
| 14 |
Shah, S.M.A., Usman, S.M., Khalid, S., Rehman, I.U., Anwar, A., Hussain, S., Ullah, S.S., El-
mannai, H., Algarni, A.D. and Manzoor, W., 2022. An Ensemble Model for Consumer Emotion
Prediction Using EEG Signals for Neuromarketing Applications. Sensors, 22(24), p.9744.(Impact
Factor: 3.4) |
|
| 15 |
Awan, A.W., Usman, S.M., Khalid, S., Anwar, A., Alroobaea, R., Hussain, S., Almotiri, J., Ul-
lah, S.S. and Akram, M.U., 2022. An Ensemble Learning Method for Emotion Charting Using
Multimodal Physiological Signals. Sensors, 22(23), p.9480.(Impact Factor: 3.4) |
|
| 16 |
Khan, A.R., Yasin, A., Usman, S.M., Hussain, S., Khalid, S. and Ullah, S.S., 2022. Exploring
Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment. Elec-
tronics, 11(24), p.4147. (Impact Factor: 2.6) |
|
| 17 |
Riaz, S., Latif, S., Usman, S.M., Ullah, S.S., Algarni, A.D., Yasin, A., Anwar, A., Elmannai, H. and
Hussain, S., 2022. Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.
Sensors, 22(23), p.9305. (Impact Factor: 3.4) |
|
| 18 |
Aimen Tanveer, Syed Muhammad Usman “Neuromarketing insights: Multimodal consumer choice
prediction using EEG and Eye tracking Data”, Frontiers in Computational Neuroscience, Accepted,
2024. (Impact Factor: 2.1) |
|
| 19 |
Muhammad Naveed, Fahim Arif, Syed Muhammad Usman, Aamir Anwar, Myriam Hadjouni,
Hela Elmannai, Saddam Hussain, Syed Sajid Ullah, Fazlullah Umar, “A Deep Learning-Based
Framework for Feature Extraction and Classification of Intrusion Detection in Networks”, Wireless
Communications and Mobile Computing, vol. 2022, Article ID 2215852, 11 pages, 2022. ISI
Indexed |
|
| 20 |
Usman, S.M., Usman, M. and Fong, S., 2017. Epileptic seizures prediction using machine learning
methods. Computational and mathematical methods in medicine, 2017. |
|
