Ms. Maria Mahmood

Biography:

Maria Mahmood joined Rawalpindi Women University as lecturer in the Computer Science Department on August 2022. She served Bahria University Islamabad from 2019-2022 as the Lecturer and member of Artificial Intelligence lab. Prior to Bahria University, she was the Research Assistant in Air University and also a member of Intelligent Media Center from 2017-2019. She did her Bachelors in Computer Science in 2017 from COMSATS Islamabad and completed Masters in Computer Science in 2019 from Air University Islamabad. She is a silver medalist and has won multiple merit scholarships throughout her education. Her interest and expertise is in the domain of artificial intelligence. She published her research on human computer interaction in international journals and have participated in multiple international conferences. She looks forward to participate in the emerging projects on Artificial Intelligence and pursue higher education for career prospects.

Brief statement of Research Interest:

Research interest of Maria Mahmood are Image processing, Pattern recognition and Machine learning.

Qualification:

Master of Science in Computer Science (MSCS)

Honors and Awards:

Silver Medal, merit scholarships

Supervisions:

Supervised multiple undergraduate FYP projects

Service Activity: N/A

Journal Publications:

  1. Kim, K., Jalal, A., & Mahmood, M. (2019). Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents. Journal of Electrical Engineering & Technology, 14(6), 2567-2573.
    https://doi.org/10.1007/s42835-019-00278-8
  2. Jalal, A., & Mahmood, M. (2019). Students’ behavior mining in e-learning environment using cognitive processes with information technologies. Education and Information Technologies, 24(5), 2797-2821.
    https://doi.org/10.1007/s10639-019-09892-5
  3. Mahmood, M., Jalal, A., & Kim, K. (2020). WHITE STAG model: Wise human interaction tracking and estimation (WHITE) using spatio-temporal and angular-geometric (STAG) descriptors. Multimedia Tools and Applications, 79(11), 6919-6950.
    https://doi.org/10.1007/s11042-019-08527-8

Conference Papers / Presentations:

  1. A. Jazib, W. Tariq, and M. Mahmood, “Sentiment Analysis using Ensemble Classifier for Entrepreneurs based on Twitter Analytics,” in proceeding of IEEE 19th International Bhurban Conference on Applied Sciences and Technology, Bhurban Murree, Islamabad, pp. 207-212 , Aug. 2022. DOI: 10.1109/IBCAST54850.2022.9990360
  2. Mahmood, M., Jalal, A., & Evans, H. A. (2018, September). Facial expression recognition in image sequences using 1D transform and gabor wavelet transform. In 2018 international conference on Applied and Engineering Mathematics (ICAEM) (pp. 1-6). IEEE.10.1109/ICAEM.2018.8536280
  3. Mahmood, M., Jalal, A., & Sidduqi, M. A. (2018, December). Robust spatio-temporal features for human interaction recognition via artificial neural network. In 2018 International Conference on Frontiers of Information Technology (FIT) (pp. 218-223). IEEE. 10.1109/FIT.2018.00045
  4. Jalal, A., Mahmood, M., & Hasan, A. S. (2019, January). Multi-features descriptors for human activity tracking and recognition in Indoor-outdoor environments. In 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 371-376). IEEE.
    10.1109/IBCAST.2019.8667145

Research Projects :

  1. Vision-Based Human Activity Recognition System Using Depth Silhouettes: A Smart Home System for Monitoring the Residents

2.WHITE STAG model: wise human interaction tracking and estimation (WHITE) using spatio-temporal and angular-geometric (STAG) descriptors

Others: