Dr. muhammad sajid is working as lecturer, Department of computer science, Faculty of Computing, The Islamia University of Bahawalpur,bahawalnagar campus and possesses 1o years diversified experience of research and teaching. He has international journals. His research interests include bio-computing, medical image processing, computer vision and robotics. Dr. Muhammad sajid holds Masters in Philosophy in Computer Science from The University of engineering & technology,lahore pakistan and Doctor of Philosophy in computer science ,department of artificial intelligence from the islamia University of bahawalpur, Pakistan.
Research Interest Keywords
ML,DL,CV
Contact Info
Email
sajid.ahmad366@gmail.com
Mobile #
0301-7680366
Location
MAIN ROAD MADINA TOWN NEAR MADRISSA IQRA TAJVEED-UL-QURAN BAHAWALNAGAR,Punjab,Pakistan
Research Publication
1. Muhammad Sajid and Muhammad Afzal and Muhammad Shoaib. 2021. “Multimodal Emotion Recognition using Deep Convolution and Recurrent Network.” IEEE 128. https://doi.org/10.1109/ICAI52203.2021.9445262
2. 2000. “Upload file contains all publications.”
3. Sajid, Muhammad and Sharif, Wareesa and Gilanie, Ghulam and Mazher, Maryam and Iqbal, Khurshid and Akhtar, Muhammad Afzaal and Muddassar, Muhammad and Rehman, Abdul. 2025. “IoMT-Enabled Noninvasive Lungs Disease Detection and Classification Using Deep Learning-Based Analysis of Lungs Sounds.” The Science and Information Organization 16. https://dx.doi.org/10.14569/IJACSA.2025.0160287
4. Shafiq, Humaira and Gilanie, Ghulam and Sajid, Muhammad and Ahsan, Muhammad. 2023. “Dental radiology: a convolutional neural network-based approach to detect dental disorders from dental images in a real-time environment.” Springer Science and Business Media LLC 29. https://doi.org/10.1007/s00530-023-01169-9
5. Rashid, Muhammad Sajid and Gilanie, Ghulam and Naveed, Saira and Cheema, Sana and Sajid, Muhammad. 2023. “Automated detection and classification of psoriasis types using deep neural networks from dermatology images.” Springer Science and Business Media LLC 18. https://doi.org/10.1007/s11760-023-02722-9
