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Asma Qaiser

Lecturer

Iqra University

Education

M.S. Data Science, June 2022 (3.79/4.00), NED University of Engineering & Technology, Karachi.

BCIT (Computer Science and Information Technology), (3.7/4.00),NED University of Engineering & Technology, Karachi.

Research Interests

Machine Learning
Artificial Intelligence
Deep Learning
Natural language processing
XAI and Generative AI

Biography

I am a passionate professional in the field of computer science and data science. With a Master of Data Science (MS) degree from NED University of Engineering & Technology, Karachi, I have had the privilege of achieving a CGPA of 3.79, reflecting my dedication to learning and growth. My journey has taken me through various roles, from guiding students as a Lecturer at IQRA
University and a Visiting Faculty at NED University to fostering hands-on learning experiences as a Lab Instructor at DHA Suffa University. Alongside my academic endeavors, I have poured my heart into research and development projects, including the creation of cutting-edge solutions like the AI Interview Preparation Bot and Health Care Chat Bot. Driven by a genuine love for my field and a desire to make a difference; I am committed to pushing boundaries and leaving a positive impact wherever I go.

Publications

Nasim, S. F., Khurram, M., Kamran, A., Fatima, S. A., & Qaiser, A. (2023). Environmental Monitoring and Agricultural Insights: Analysis of Cotton Crop Using PowerBI. International Journal of Emerging Engineering and Technology, 2(2), 13-20. DOI: https://doi.org/10.57041/qzg9zn22 (Category Y Journal).
e Kulsoom, U., Nasim, S. F., Qaiser, A., Aziz, S., & Fatima, S. A. (2023). A Review about Internet of Things (IoT) integration with Cloud Computing with a Limelight on Security. Pakistan Journal of Engineering and Technology, 6(4), 1-6. DOI: https://doi.org/10.51846/vol6iss4pp1-6 (Category Y Journal).
Baloch, D., Abdullah, S., Qaiser, A., Ahmed, S., Nasim, F., & Kanwal, M. Speech Enhancement using Fully Convolutional UNET and Gated Convolutional Neural Network. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 14, No. 11, 2023. (Impact Factor: 0.9) DOI: 10.14569/IJACSA.2023.0141184
Ahmed, S., Qaiser, A., Shahzad, J., Ali, M., & Khan, N. (2023). Detecting and Analyzing Deceptive Information in News Articles: A Study Using a Dataset of Misleading Content. International Journal of Emerging Engineering and Technology, 2(1), 52-56. DOI: https://pjosr.com/index.php/ijeet/article/view/930/834. (Category Y Journal).
Nasim, S. F., Qaiser, A., Abrar, N., & Kulsoom, U. (2023). Implementation of AI in Traffic Management: Need, Current Techniques and Challenges. Pakistan Journal of Scientific Research, 3(1), 20-25. DOI: https://doi.org/10.57041/pjosr.v3i1.942. (Category Y Journal).
Qaiser, A., Farooq, M. U., Mustafa, S. M. N., & Abrar, N. (2023). Comparative Analysis of ETL Tools in Big Data Analytics. Pakistan Journal of Engineering and Technology, 6(1), 7-12. DOI: https://doi.org/10.51846/vol6iss1pp7-12. (Category Y Journal).
Qaiser, A., Hina, S., Kazi, A. K., Ahmed, S., & Asif, R. (2023). Fake News Encoder Classifier (FNEC) for Online Published News Related to COVID-19 Vaccines. Intelligent Automation & Soft Computing, 37(1). (Impact Factor: 1.647). DOI: 10.32604/iasc.2023.036784 .
Islam, N., Shaikh, A., Qaiser, A., Asiri, Y., Almakdi, S., Sulaiman, A., … & Babar, S. A. (2021). Ternion: An autonomous model for fake news detection. Applied Sciences, 11(19), 9292. (MDPI- Applied Sciences- Impact Factor: 2.838). DOI : https://doi.org/10.3390/app11199292 .
Mahmood, K., Takahashi, H., Raza, A., Qaiser, A., & Farooqui, A. (2015, March). Semantic based highly accurate autonomous decentralized URL classification system for Web filtering. In 2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems (pp. 17-24). IEEE. DOI: 10.1109/ISADS.2015.34.

IU ORIC is thrilled to announce that 4 innovative packaging designs from IU have been granted design patents by the Intellectual Property Organization of Pakistan (IPO). A special endorsement to Dr. Baber Khan from the Media Sciences Department for his exceptional contributions.

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