DR. RAHEEL SIDDIQI
| PERSONAL INFORMATION | |||
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| drraheel.bukc@bahria.edu.pk | |||
| Phone Ext. | 02199240002 | ||
| Research Areas / Expertise | Deep Learning, Computer Vision, Semi-structured data | ||
| QUALIFICATION | |||
| Degree | Passing Year | Majors | University |
| TEACHING EXPERIENCE | |||
| Designation | From | To | Organization |
Publications
Journals
- Improving Teaching and Learning through Automated Short-Answer Marking | IEEE Transactions on Learning Technologies
- A Region-based Approach to the Automated Marking of Short Textual Answers | Sir Syed University Research Journal of Engineering and Technology
- Automated Apple Defect Detection using State-of-the-Art Object Detection Techniques | SN Applied Sciences
- Efficient Pediatric Pneumonia Diagnosis Using Depthwise Separable Convolutions | SN Computer Science
- Fruit-classification model resilience under adversarial attack | SN Applied Sciences
- Susceptibility of paediatric pneumonia detection model under projected gradient descent adversarial attacks | International Journal of Electronic Security and Digital Forensics
- Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey | Journal of Imaging
- A novel methodology for offline English handwritten character recognition using ELBP-based sequential (CNN) | Neural Computing and Applications
- Auto encoder-based defense mechanism against popular adversarial attacks in deep learning | PLoS ONE
- Offline English Handwritten Character Recognition using Sequential Convolutional Neural Network | Sukkur IBA Journal of Computing and Mathematical Sciences
Conferences
- A systematic approach to the automated marking of short-answer questions | 12th IEEE International Multi topic Conference (IEEE INMIC 2008), Karachi, Pakistan
- On the Automated Assessment of Short Free-Text Responses | 34th annual conference of the International Association for Educational Assessment (IAEA), Cambridge, UK
- Impact of Automated Short-Answer Marking on Students’ Learning: IndusMarker, a Case Study | 5th International Conference on Information and Communication Technologies, IEEE, Karachi, Pakistan
- Improving the quality of streaming video through dynamic chrominance adjustment | 5th International Conference on Information and Communication Technologies. IEEE, Karachi, Pakistan
- Automated Pneumonia Diagnosis using a Customized Sequential Convolutional Neural Network | 3rd International Conference on Deep Learning Technologies, Xiamen, China
- Effectiveness of Transfer Learning and Fine Tuning in Automated Fruit Image Classification | 3rd International Conference on Deep Learning Technologies, Xiamen, China
- Automated Hand X-Ray Based Gender Classification and Bone Age Assessment Using Convolutional Neural Network | 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukker, Pakistan
- Comparative Performance of Various Deep Learning based Models in Fruit Image Classification | 11th International Conference on Advances in Information Technology, Bangkok, Thailand
