fbpx
Top

Faculty Profile

  /  Faculty Profile

Dr. Mubashir Ahmad

Assistant Professor
Area of Interest: Image Processing ,Machine learning
Email: [email protected]
Phone: +92-992-383591-5
 
Academics/ Degrees
  • Ph.D. (Machine Learning) Beijing Institute of Technology, Beijing, China. (June 2019)
  • Master’s Degree (Computer Science) IQRA University Islamabad, Islamabad, Pakistan. (May 2012)
  • Bachelor’s Degree (Computer Science)  Hazara University Mansehra, Pakistan. (March 2007)
 
Profile/Bio
  • March 2023 to till now, Assistant Professor in Computer Science Department, CUI Abbottabad Campus
  • December 2019 to February 2023, Assistant Professor, University of Lahore, Pakistan
  • September 2014 to June 2019, Beijing Institute of Technology, Beijing China.
 
 
Research Interests
  • Medical Imaging.
  • Image Segmentation
  • Image Classification
  • Image Recognition.
 
Awards
  • Full paid scholarship holder for Ph.D. studies (Chinese GOVT Scholarship)
  • Got the best paper award at the IGTA conference in 2017 at the Beijing Institute of Technology.
  • Attended the 2015 IET conference on Medical Image and Signal Processing at the Beijing Institute of Technology, China.
  • Got the best paper presentation award at the SPIE conference in Guangzhou China in 2019.
 
Students Supervised
  • Classification of Breast Cancer using Patch-based Deep Belief Network Modeling
  • Facial Expression Recognition using Sparse Autoencoder
  • Chance-Constraint Optimization for Community Detection in Complex Networks
  • Alexnet-based automatic emotion recognition system through facial expression
  • Classification of Brain Tumors from Magnetic Resonance Imaging using Deep Learning
  •  Classification of Covid-19 Computed Tomography Scans using Deep Learning
  • Classification of MRI Brain Tumor Images using Deep Belief Network
  •  Convolutional Neural Network based kidney Tumor Detection using CT Images
  •  Detection Of Covid-19 from Chest X-ray Images Using Deep Learning Modeling
  •   Breast Cancer Classification from Histopathological Images Using Patch-Based Convolutional Neural Network
  •  Skin Cancer Classification from Dermatoscopic Images Using Deep Learning
  •  Colorectal Cancer Classification using Deep Belief Network
  • Improved Convolutional Neural Network for Automatic Species Recognition
  • Facial expression recognition using Light Weight Convolutional Neural Network Model