Muhammad Shahid Farid

People — Faculty

Ph.D. Candidates

• Tazeem Haider — Ontology-based Human Activity Recognition using Sensory Data (as co-supervisor; supervisor: Dr. Muhammad Hassan Khan)
• Mahrukh Saleem — Deep Learning-based Liver Cancer Diagnosis using Computed Tomography Images
• Rabia Zafar — Deep Learning-based Approaches for Nitrogen Nutrition Estimation in Cereal Crops Using RGB Images
• Meezab Ahmed — A Real-Time Multimodal Framework for Early Autism Detection through Interactive Gameplay Patterns

M.Phil Candidates

• Hifza Tahir — Learning Stage Progression for Generalizable Malaria Parasite Classification
• Interested candidates may contact through email

M.Phil. Alumni (37)

1. Maha Imran — Quality Assessment of DIBR Images using Statistical Features. Session: Fall 2024 · Defense date: June 29, 2026
2. Muqadas Huma Shabbir — Deep Learning-based Automated Teeth Disease Classification Using Panoramic Dental Radiographs. Session: Fall 2024 · Defense date: June 29, 2026
3. Areeba Asif — AI-Based Detection and Classification of Gallbladder Diseases from Ultrasound Images. Session: Fall 2024 · Defense date: June 29, 2026
4. Kainat Tahir — Using Smartphone Imagery for Nitrogen Estimation in Wheat Crops. Session: Fall 2023 · Defense date: August 28, 2025
5. Amina Bashir — Evaluating the Nitrogen Estimation Methods for Wheat Crop under Different Imaging Conditions. Session: Fall 2023 · Defense date: August 28, 2025
6. Mahira Zainab — Nitrogen Nutrient Estimation in Rice Crops using RGB Images. Session: Fall 2022 · Defense date: November 25, 2024
7. Rooman Azam — Image Processing for Maize Crop Health. Session: Fall 2022 · Defense date: November 25, 2024
8. Mahrukh Arif — A Statistical Approach for Pneumonia Detection From Chest X-ray Images. Session: Fall 2022 · Defense date: November 25, 2024
9. Hafiz Abdul Ghani — Reduced Reference Approach for Quality Assessment of DIBR Images. Session: Fall 2021 · Defense date: September 22, 2023
10. Maryam Nazir — A Computer Vision-Based Approach for Nitrogen Nutrient Estimation in Maize Plants. Session: Fall 2021 · Defense date: September 22, 2023
11. Muhammad Saad Sheikh — Computer Vision For AMD Detection. Session: Fall 2021 · Defense date: August 17, 2023
12. Maira Ismail — Computer Vision For Detection Of Glaucoma Using OCT. Session: Fall 2021 · Defense date: August 7, 2023
13. Hafiz Mubashar Islam — A Statistical Approach for Image Brightness Enhancement. Session: Fall 2021 · Defense date: August 7, 2023
14. Faiza Saleem — Plant Leaf Detection. Session: Fall 2021 · Defense date: August 7, 2023
15. Sahar Shahzadi — Classification of Pneumonia by Chest X-ray Images. Session: Fall 2020 · Defense date: September 9, 2022
    Co-supervisor: Dr. Muhammad Hassan Khan
16. Muhammad Ijlal — Nitrogen Estimation in Maize Plants by Color Analysis of Leaf Images. Session: Fall 2019 · Defense date: June 14, 2023
17. Tania Arshad — Deep Fake Detection. Session: Fall 2020 · Defense date: September 9, 2022
    Co-supervisor: Dr. Muhammad Hassan Khan
18. Aneesa Amjad — Soccer Video Analytics of Commentary Generation. Session: Fall 2020 · Defense date: September 9, 2022
    Co-supervisor: Dr. Muhammad Hassan Khan
19. Marriam Aslam — Applications of Optical Coherence Tomography in Diagnosis of Diabetic Retinopathy, Age Related Maculopathy Degenration, and Glaucoma. Session: Fall 2020 · Defense date: September 2, 2022
    Co-supervisor: Dr. Muhammad Hassan Khan
20. Muhammad Sabih — Raw Material Flow Rate Measurement on Belt Conveyor System. Session: Fall 2020 · Defense date: September 2, 2022
21. Mahnoor Ejaz — Tree Detection and Classification in Multispectral Data. Session: Fall 2020 · Defense date: September 2, 2022
    Co-supervisor: Dr. Muhammad Hassan Khan
22. Hashaam Ashraf — Intersecting Longest Paths. Session: Fall 2019 · Defense date: September 2, 2022
    Co-supervisor: Dr. Mehvish Irfan Poshni
23. Ali Masood — Development, Calibration, and use of Remote Sensing and GIS-based Monitoring System for Soil Salinity Management in Jhang District. Session: Fall 2018 · Defense date: May 26, 2022
    Co-supervisor: Dr. Muhammad Hamid Chauhdry (Centre for Geographical Information System (CGIS)), University of the Punjab, Lahore
24. Badi uz zaman Babar — Efficient Compression of 3D Videos. Session: Fall 2018 · Defense date: April 27, 2021
25. Bilal Mehdi — Estimation of Snowmelt Runoff of Tarbela Catchment Using SRM for Kharif Season. Session: Fall 2017 · Defense date: April 27, 2021
26. Rafia Mansoor — 3D Image Quality Assessment. Session: Fall 2017 · Defense date: February 8, 2021
27. Anam Farooq — The effect of Hudiara drain effluents on adjacent biome using GIS. Session: Fall 2018 · Defense date: January 26, 2021
    Co-supervisor: Dr. Muhammad Usman (Centre for Geographical Information System (CGIS)), University of the Punjab, Lahore
28. Asma Maqsood — Malaria Detection from Blood Smear Images. Session: Fall 2018 · Defense date: October 2, 2020
29. Hafiz Muhammad Usama Hassan Alvi — Quality Assessment of 3D Videos. Session: Fall 2017 · Defense date: October 2, 2020
30. Usairam Bin Muslim — Motion Descriptor Based Action Recognition. Session: Fall 2017 · Defense date: May 21, 2020
    Co-supervisor: Dr. Muhammad Hassan Khan
31. Areeba Ilyas — Multi-focus Image Fusion Using Superpixels. Session: Fall 2017 · Defense date: May 21, 2020
32. Tazeem Haider — A Vision-based Approach for Nitrogen Estimation in Crops. Session: Fall 2017 · Defense date: August 23, 2019
33. Maryiam Zahoor — Multiview Gait Recognition using Spatiotemporal Motion Characteristics. Session: Spring 2016 · Defense date: November 19, 2018
    Co-supervisor: Dr. Muhammad Hassan Khan
34. Mahrukh Saleem — X-ray Image Analysis for Automated Knee Replacement Detection. Session: Spring 2016 · Defense date: November 19, 2018
35. Tehreem Fatima — Synthesis Error Estimation in DIBR Images. Session: Fall 2016 · Defense date: July 19, 2018
36. Rabia Zafar — Fusion LIB: A Multi-focus Image Fusion Library. Session: Spring 2016 · Defense date: May 18, 2018
37. Noor Kherah — Lung Cancer Diagnosis using CT Scan Images. Session: Spring 2016 · Defense date: May 11, 2018