Bahria University

Discovering Knowledge

DR. RAHEEL SIDDIQI

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PERSONAL INFORMATION
Faculty Photo
Email 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 & Conferences
  • 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
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