sheikh_badar

Mr. Sheikh Badar Ud Din Tahir (MS AU, Islamabad)

Associate Lecturer
PROFILE SUMMARY

Sheikh Badar Ud Din Tahir is working as a Lecturer in the Software Engineering Department of the Capital University of Science and Technology (CUST), Islamabad, after completing his MSCS Degree from Air University. His research interests are machine learning, gait recognition, and Healthcare. He has authored seven research papers in international journals and proceedings.

QUALIFICATION
MS Computer Science Air University 2020
BS Computer Science University of Lahore 2017
TEACHING EXPERIENCE
Associate Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2022
Visiting Lecturer SUIT, Islamabad 2021 – 2022
Research Associate Air University, Islamabad 2020 – 2021
Research Assistant Air University, Islamabad 2018 – 2020
HONORS & AWARDS
1. Fully Funded Scholarship (MSCS) Air University , Islamabad
2. Author’s Certificate by IEEE International Conference on Advancements in Computational Sciences (ICACS), 2020
3. Author’s Certificate by IEEE International Bhurban Conference on Applied Sciences and Technologies (IBCAST ), 2021
RESEARCH AREAS / INTERESTS
  • Machine Learning
  • Gait Recognition
  • Human Daily Life-log Recognition
  • Healthcare
JOURNAL PUBLICATIONS
1. Sheikh Badar Ud Din Tahir, A. B. Dogar, R. Fatima, A. Yasin, “Stochastic Recognition of Human Physical Activities via Augmented Feature Descriptors and Random Forest Model,” Sensors 2022 (IF: 3.847)
2. M. Gochoo, Sheikh Badar Ud Din Tahir, Ahmad Jalal, Kibum Kim , “Monitoring Real-Time Personal Locomotion Behaviors Over Smart Indoor-Outdoor Environments Via Body-Worn Sensors,” in IEEE Access, vol. 9, pp. 70556-70570, 2021 (IF: 3.745)
3. Ahmad Jalal, Majid Ali Khan Quaid, Sheikh Badar ud din Tahir, and K. Kim, “A Study of Accelerometer and Gyroscope Measurements in Physical Life-log Activities Detection Systems, Sensors, 2020 (IF: 3.275)
4. Sheikh Badar Ud Din Tahir, Ahmad Jalal, Kibum Kim. Tahir, A. Jalal and K. Kim, “Wearable inertial sensors for daily activity analysis based on Adam optimization and the maximum entropy Markov model”, Entropy, vol. 22, no. 5, pp. 579, May 2020 (IF: 2.494)
CONFERENCE PUBLICATIONS
1. S. Badar ud din Tahir, A. Jalal and K. Kim, “Daily life Log Recognition based on Automatic Features for Health care Physical Exercise via IMU Sensors,” 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST), 2021, pp. 494-499, doi: 10.1109/IBCAST51254.2021.9393204.
2. S. Badar ud din Tahir, A. Jalal and M. Batool, “Wearable Sensors for Activity Analysis using SMO-based Random Forest over Smart home and Sports Datasets,” 2020 3rd International Conference on Advancements in Computational Sciences (ICACS), 2020, IEEE, pp. 1-6.
3. A. Jalal, M. Batool and S. Badar. ud din Tahir, “Markerless Sensors for Physical Health Monitoring System Using ECG and GMM Feature Extraction,” 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST), 2021, pp. 340-345.

Other Members