Dr. Zohair Ahmed
Education
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Summary
Dr. Zohair Ahmed is an Assistant Professor in the Department of AI & Data Science at FAST National University (FAST-NUCES), Islamabad. He holds a PhD in Computer Science and Technology from Central South University, China, with a specialization in Artificial Intelligence and Natural Language Processing. His research interests include Natural Language Processing (NLP), Multimodal NLP, Sentiment Analysis, Large Language Models, and Deep Learning. With almost 10 years of combined academic and industry experience, he previously served as a Lecturer at the International Islamic University Islamabad (IIUI). He also worked as a Team Lead and Research Associate at the Predictive Analytics Lab under the HEC Project titled National Center in Big Data & Cloud Computing (NCBC) at SZABIST, Islamabad. Additionally, he led the Web Team at Air University, Islamabad. He has published research in reputable international journals and conferences and serves as a reviewer for leading ACM, IEEE, Springer, and Elsevier journals. He is passionate about bridging academic research with real-world applications and actively seeks collaborations on innovative AI projects.
Publications
Journal Papers
- Zohair Ahmed, Jianxin Wang (2023)., A Fine‑Grained Deep Learning Model Using Embedded‑CNN With BiLSTM for Exploiting Product Sentiments., Alexandria Engineering Journal, Elsevier. (IF=6.62)
- Ameen Banjar, Zohair Ahmed, Ali Daud, Rabeeh Ayaz Abbasi, Hussain Dawood (2021)., Aspect‑Based Sentiment Analysis for Polarity Estimation of Customer Reviews on Twitter., Computers, Materials & Continua, Tech Science. (IF=3.7)
- Ahmed Iqbal, Muhammad Usman, Zohair Ahmed (2022)., An Efficient Deep Learning‑Based Framework for Tuberculosis Detection Using Chest X‑Ray Images., Tuberculosis, Elsevier. (IF=2.97)
- Ahmed Iqbal, Muhammad Usman, Zohair Ahmed (2023)., Tuberculosis Chest X‑Ray Detection Using CNN‑Based Hybrid Segmentation and Classification Approach., Biomedical Signal Processing and Control, Elsevier. (IF=5.07)
- Ahmed Iqbal, Zohair Ahmed, Muhammad Usman, Isra Malik (2024)., Rethinking Encoder‑Decoder Architecture Using Vision Transformer for Colorectal Polyp and Surgical Instruments Segmentation., Engineering Applications of Artificial Intelligence, Elsevier. (IF=7.5)
Conference Papers
- Zohair Ahmed, Junwen Duan, FangXiang Wu, Jianxin Wang (2021)., EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics., International Conference on Bioinformatics and Biomedicine, IEEE, Houston, TX, USA. (CCF B Class)