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Name Dr. Rao Wakeel Ahmad
Designation Lecturer
Department Computer Science (Taxila)
Highest Qualification Ph.D. Computer Science
Specialization Computer Vision, Image Processing, Machine Learning, Artificial Intelligence, and Precision Farming
Phone No 051-9047-XYZ
Cell No 0321-6025844
Fax No
Email [email protected]

1) Ph.D Computer ScienceUniversity of Engineering and Technology (UET) Taxila, Taxila 

2) Master of Science - Information Technology (MSIT), NUST School of Electrical Engineering and Technology, Islamabad

3) Masters in Computer Science (MCS), University of Sargodha, Sargodha

4) Bachelor in Computer Science (BCS), University of Punjab, Lahore

1) Computer Vision, Machine Learning, Artificial Intelligence, Image Processing/Recognition 

2) Smart Farming, Offline Biometrics,

3)High-Performance Scientific / Distributed Computing, Parallel Programming

I.F Journal Publications 

  1. Rehman, Hafiz., Nida, N., Shah, S. A., Ahmad, Wakeel., Faizi, M. I., & Anwar, S. M. (2022). Automatic melanoma detection and segmentation in dermoscopy images using deep RetinaNet and conditional random fields. Multimedia Tools and Applications, 1-21.

  2. Abbas, W., Adnan, S. M., Javid, M. A., Ahmad, Wakeel., & Ali, F. (2021). ANALYSIS OF TIBIA-FIBULA BONE FRACTURE USING DEEP LEARNING TECHNIQUE FROM X-RAY IMAGES. International Journal for Multiscale Computational Engineering, 19(1).

  3. Ahmad, Wakeel, S. M. Shah, and Aun Irtaza. "Plants Disease Phenotyping using Quinary Patterns as Texture Descriptor." KSII Transactions on Internet and Information Systems (TIIS) 14.8 (2020): 3312-3327.

  4. Ahmad, Wakeel., Carpenter, B., and Shafi, A., 2011. Collective Asynchronous Remote Invocation (CARI): A High-Level and Efficient Communication API for Irregular Applications. Procedia Computer Science, 4, pp.26-35.

HEC Recognised Journals

  1. Rana, G. A., Adnan, S. M., Nida, N., Ahmad, Wakeel., & Bilal, F. (2022). Asphalt Pavement Potholes Localization and Segmentation using Deep RetinaNet and Conditional Random Fields. International Journal of Innovations in Science & Technology3, 126-139.
  2. Shahbano; Shah, Syed Muhammad Adnan; Ahmad, Wakeel; Ilyas, Muhammad. (2020). CARRIED BAGGAGE DETECTION AND CLASSIFICATION USING MULTI-TREND BINARY CODE DESCRIPTOR AND SUPPORT VECTOR MACHINE. NED University Journal of Research17(4), 81-95.

  3. Kanwal, M., ZESHAN, D. F., AMIN, D. R., ADNAN, D. S. M., & Ahmad, Wakeel. (2021). Artificial Intelligence Based Dynamic Wavelength Grouping for QoS in Optical Packet Switched Networks. University of Wah Journal of Science and Technology (UWJST)5(1), 34-40.

  4. Zeeshan, M., Adnan, S. M., Ahmad, Wakeel., & Khan, F. Z. (2021). Structural Crack Detection and Classification using Deep Convolutional Neural Network. Pakistan Journal of Engineering and Technology4(4), 50-56.

  5. Ajmal, A., Ibrar, S., Ahmad, Wakeel., & Shah, S. M. A. (2021). Covid-19 Detection using Deep Convolutional Neural Networks from X-Ray Images. Pakistan Journal of Engineering and Technology4(2), 139-143

  6. Ali, H., Adnan, S. M., Aziz, S., Ahmad, Wakeel., & Obaidullah, M. (2019). Sound classification of Parkinsonism for telediagnosis. Technical Journal24(01), 90-97.

  7. Zafar, M. Z., Adnan, S. M., Ahmad, Wakeel., Rashid, J., & Ikram, J. (2019). Brain tumor detection and classification using geometrical shapes as texture descriptors. Technical Journal, University of Engineering and Technology (UET) Taxila24(1), 83-89.

  8. Shah, S. A., Malik, A., Aziz, S., & Ahmad, Wakeel. (2018). Sound Recognition Aimed towards Hearing Impaired Individuals in Urban Environment using Ensemble Methods. Journal of Information Communication Technologies and Robotic Applications, 30-39.

  9. ud Din, Z., Adnan, S. M., Ahmad, Wakeel., Aziz, S., Ismail, W., & Iqbal, J. (2018). Classification of Tomato Plants’ Leaf Diseases Using Image Segmentation and SVM. Technical Journal23(02), 81-88.

Graduate thesis positions are available for the Smart-Farming project. 

This project is about precision farming through unmanned-Ariel vehicles (UAVs) to increase crop production in Pakistan boost the national economy, and crop revenue, and ensure nutritional security. In order to achieve these objectives, the project will result in a form of multiple products for crop scouting, crop-disease detection, individual plant/fruit monitoring, individual plant/fruit requirement identification, pesticide suggestions, pesticide localization, environmental behaviors identification, and agri-directions.



1) Member of the International Association of Engineers (IAENG), Member Number: 133952
2) Member of the International Association of Computer Science and Information Technology (IACSIT), Member Number 80347307
3) Reviewer and Technical Program Committee (TPC) for ICCSII 2012 (2012 IEEE Conference on Control, Systems & Industrial Informatics)
4) Reviewer 2012 IEEE Symposium on Business, Engineering and Industrial Applications
5) Reviewer and Technical Program Committee (TPC) 2012 IEEE Symposium On Green Technology And Systems


1) Advance Operating Systems 
2) Advance Theory of Computation 

Under Graduate

1) Theory of Automata and Formal Language
2) Compiler Constructions

1) Lecturer in Computer Science at Department of Computer Science, University of Engineering and Technology (UET) Taxila - Pakistan
2) Lecturer in Software Engineering at Department of Software Engineering, Foundation University Rawalpindi Campus (FURC) - Pakistan
3) Research Scientist at Parallel Emergent and Distributed Architecture (PEDAL) Lab, School of Systems Engineering, University of Reading – United Kingdom (UK)


 S#  Title   Student Name    Year / Status 
 1   An Automatic Approach to Detect Code Smell to Enhance Programming Productivity & Performance    Nayyera Baidar   2016 / Complete 
 2   An Efficient Method for MRI Brain Image Classification  Muhammad Assam    2017 / Complete
 3  Automatic Baggage Detection and Classification  Shahbano   2019 / Complete
 4  Citrus Crop Disease Detection and Classification  Madiha Ashfaq   2019 / Complete
 5  Knowledge-based CQI framework for OBE (Outcome Based Education   Tasswar Abbas   2021 / Complete
 6  Kidney Tumor Detection and Classification using Image Processing Techniques  Rabail Fatima   2021 / Complete
 7  Nail Disease Detection & Classification using Deep Convolutional Neural Networks  Abdullah Ajmal   2022 / In-progress 
 8 DL-based Seismic Impedance Inversion optimization to Recover Hi-Freq from Low-Freq Seismic Trace  Irshad Ali   2022 / In-progress








  1. Nayyera Baidar Raja              2016
  2. Muhammad Assam                2017
  3. Shahbano                              2019
  4. Madiha Ashfaq                       2019
  5. Tasswar Abbas                       2021
  6. Rabail Fatima                         2021
  7. Abdullah Ajmal                       2022
  8. Irshad Ali                                2022