Afrah Naeem
Category: Faculty
Published on: March 4, 2024
Last updated on May 2nd, 2024

PERSONAL INFORMATION

Name Afrah Naeem
Email afrah.buic@bahria.edu.pk
Phone (office extension) 1341
Research Area Data mining, data science, machine learning, deep learning, smart grid, AI
Number of Publications 8

AFFILIATIONS

Designation Lecturer
Department Department of Computer Science
University Bahria University, Islamabad Campus

QUALIFICATION

Degree Passing Year Majors University
MS 2020 Software Engineering COMSATS University ISLAMABAD

TEACHING EXPERIENCE

Designation From To Organization
Senior Lectuer 2023 Date Bahria University, Islamabad Campus
Lecturer 2021 2020 Comsats University Islamabad, Pakistan
Lecturer 2023 2021 COMSATS University Islamabad

PUBLICATIONS
 Conference Proceedings

1 Naeem, A., Aslam, Z., & Shah, M. A. (2019, September). Analyzing quality of software requirements; a comparison study on NLP tools. In 2019 25th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE.
2 Naeem, A., Gul, H., Arif, A., Fareed, S., Anwar, M., & Javaid, N. (2020). Short-term load forecasting using eemd-dae with enhanced cnn in smart grid. In Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020) (pp. 1167-1180). Springer International Publishing.
3 Arif, A., Javaid, N., Anwar, M., Naeem, A., Gul, H., & Fareed, S. (2020). Electricity load and price forecasting using machine learning algorithms in smart grid: A survey. In Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020) (pp. 471-483). Springer International Publishing.
4 Khan, Z. A., Fareed, S., Anwar, M., Naeem, A., Gul, H., Arif, A., & Javaid, N. (2020). Short term electricity price forecasting through convolutional neural network (cnn). In Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020) (pp. 1181-1188). Springer International Publishing.
5 Anwar, M., Naeem, A., Gul, H., Arif, A., Fareed, S., & Javaid, N. (2020). Electricity price and load forecasting using data analytics in smart grid: A survey. In Advances in Internet, Data and Web Technologies: The 8th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2020) (pp. 427-439). Springer International Publishing.
6 Gul, H., Arif, A., Fareed, S., Anwar, M., Naeem, A., & Javaid, N. (2020). Classification and regression-based methods for short term load and price forecasting: a survey. In Advances in Internet, Data and Web Technologies: The 8th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2020) (pp. 416-426). Springer International Publishing.

Journal Publications

1 Naeem, A., Javaid, N., Aslam, Z., Nadeem, M. I., Ahmed, K., Ghadi, Y. Y., Eldin, S. M. (2023). A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids. Heliyon
2 Naeem, A., Aslam, Z., Al Shloul, T., Naz, A., Nadeem, M. I., Al-Adhaileh, M. H., Mohamed, H. G. (2023). A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids. IEEE Access.