Dr. Mubashir Ahmad

Home / Dr. Mubashir Ahmad

Assistant Professor, Computer Science
Specialization: Image Processing ,Machine learning
Email: mubashirahmad@cuiatd.edu.pk
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

Academics/ Degrees:

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