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Computer Science Home Introduction Chair Department Programs Offered Programs Description Research Groups Industrial Advisory Board Societies and Extra Curricular Activities
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Ms. Hareem Kibriya
Lecturer
Contact Information
  [email protected]
  --

Education Detail
MS (Computer Science) University of Engineering and Technology,Taxila ,Pakistan
MCS (Computer Science) University of Wah, Pakistan

Journal Publications (International)Hareem Kibriya, Wazir Zada Khan, Ayesha Siddiqa, and Muhammad Khurrum Khan. "Privacy issues in Large Language Models: A survey." Computers and Electrical Engineering 120 (2024): 109698. Impact Factor=4.0.Hareem Kibriya, Ayesha Siddiqa, Wazir Zada Khan, and Muhammad Khurram Khan., 2024. Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification. Computers and Electrical Engineering, 116, p.109153, Impact Factor=4.0.Hareem Kibriya, and Rashid Amin, 2023. A residual network-based framework for COVID-19 detection from CXR images. Neural Computing and Applications, 35(11), pp.8505-8516., Impact Factor = 6.0.Hareem Kibriya., Rashid Amin., Jinsul Kim, Marriam Nawaz, and Rahima Gantassi, 2023. A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features. Sensors, 23(10), p.4693., Impact Factor = 3.63.Hareem Kibriya, Rashid Amin, Asma Hassan Alshehri, Momina Masood, Sultan S. Alshamrani, and Abdullah Alshehri. "A novel and effective brain tumor classification model using deep feature fusion and famous machine learning classifiers." Computational Intelligence and Neuroscience 2022 (2022)., Impact Factor= 3.9.Hareem Kibriya, Momina Masood, Marriam Nawaz, and Tahira Nazir. "Multiclass classification of brain tumors using a novel CNN architecture." Multimedia Tools and Applications 81, no. 21 (2022): 29847-29863., Impact Factor = 3.6.Conference PublicationsHareem Kibriya, Iram Abdullah, and Farzana Kousar. "Melanoma Lesion Segmentation and Classification Using SegNet." In 2023 4th International Conference on Advancements in Computational Sciences (ICACS), pp. 1-6. IEEE, 2023.Safia Rehman, Aun Irtaza, Marriam Nawaz, and Hareem Kibriya. "Text Document Classification Using Deep Learning Techniques." In 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), pp. 1-6. IEEE, 2022.Rimsha Rafique, Mariam Nawaz, Hareem Kibriya, and Momina Masood. "DeepFake detection using error level analysis and deep learning." In 2021 4th International Conference on Computing & Information Sciences (ICCIS), pp. 1-4. IEEE, 2021.Hareem Kibriya, Rimsha Rafique, Wakeel Ahmad, and S. M. Adnan. "Tomato leaf disease detection using convolution neural network." In 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST), pp. 346-351. IEEE, 2021.Hareem Kibriya, Iram Abdullah, and Amber Nasrullah. "Plant disease identification and classification using convolutional neural network and SVM." In 2021 International Conference on Frontiers of Information Technology (FIT), pp. 264-268. IEEE, 2021.

Research Interest
Machine and Deep Learning
Cyber Security
Computer Vision
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