• Lecturer at National University of Modern Languages, Islamabad, Pakistan 

From January 2025 till date

• As a lecturer at Iqra University Islamabad Campus (IUIC), Islamabad, Pakistan from Oct 2021-Jan 2025
• As a visiting Lecturer at FAST NU, Islamabad, Pakistan.

From October 2022 - 2023

• As a Lab Engineer at Riphah International University, Islamabad, Pakistan , from September 2019 - October 2021
• As a Research Scholar at University of Engineering & Technology (UET), Taxila , Pakistan from September 2017 -March 2019
• As a remote Android  APPLICATION DEVELOPER at Digital Bytes Software House, Rawalpindi , Pakistan from February 2023 - August 24

Journal Publications:

1. Khan. A. U, Khan. M. K, Khan. U, Shaukat. F, “Comparative Evaluation of Machine Learning and Deep Learning Models for Real Estate Price Prediction”, IJIST, Vol. 07 Issue. 01 pp 83-97, January 2025
2. M. Khateeb Khan, Kiran Sheraz ,Umar Sultan and Adil Mushtaq, ”Investigating the Impact of Technology Involvement in Education from Student’s Perspective,” Proceedings of the Pakistan Academy of Sciences: A Pakistan Academy of Sciences Physical and Computational Sciences 59(3),2022, doi:https://doi.org/10.53560/PPASA(59-3)788
3. Asad Ullah, Huma Qayyum, Farman Hassan, Muhammad Khateeb Khan, Auliya Ur Rahman. (2022). Comparison of Machine Learning Algorithms for Sepsis Detection. International Journal of Innovations in Science Technology, 4(1), 175-188
4. M. Khateeb, S. M. Anwar and M. Alnowami, ”Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset,” in IEEE Access, vol. 9, 2021, doi: 10.1109/ACCESS.2021.3051281. IF 3.745

Conference Publications

1. M. A. Arshad, A. U. Rahman, Y. Hafeez, S. Mahmood, M. Islam and M. K. Khan, ”Applying
   Multidimensional Framework in Agile Software Development (MDFA),” 2021 International Conference on Innovative Computing (ICIC), 2021, pp. 1-8, doi: 10.1109/ICIC53490.2021.9693024.
2. Sepsis Detection Using Extreme Gradient Boost (XGB): A Supervised Learning Approach by Asad Ullah, Huma Qayyum,Muhammad Khateeb Khan and Fawad Ahmad in IEEE MAJICC,
   July 2021

 

Brain Computer Interaction (BCI)

Medical Imaging

Emotional Intelligence

Machine Learning

Computer Vision

Artificial Intelligence

Software Quality   

Education

Ph.D Software Engineering in Progress, UET TAXILA , Pakistan. 2021…..

MS Software Engineering , UET TAXILA , Pakistan. 2021

BS (SE) Software Engineering, MUST, Mirpur AJK, Pakistan. 2016

Experience

• Lecturer at National University of Modern Languages, Islamabad, Pakistan 

From January 2025 till date

• As a lecturer at Iqra University Islamabad Campus (IUIC), Islamabad, Pakistan from Oct 2021-Jan 2025
• As a visiting Lecturer at FAST NU, Islamabad, Pakistan.

From October 2022 - 2023

• As a Lab Engineer at Riphah International University, Islamabad, Pakistan , from September 2019 - October 2021
• As a Research Scholar at University of Engineering & Technology (UET), Taxila , Pakistan from September 2017 -March 2019
• As a remote Android  APPLICATION DEVELOPER at Digital Bytes Software House, Rawalpindi , Pakistan from February 2023 - August 24

Publications

Journal Publications:

1. Khan. A. U, Khan. M. K, Khan. U, Shaukat. F, “Comparative Evaluation of Machine Learning and Deep Learning Models for Real Estate Price Prediction”, IJIST, Vol. 07 Issue. 01 pp 83-97, January 2025
2. M. Khateeb Khan, Kiran Sheraz ,Umar Sultan and Adil Mushtaq, ”Investigating the Impact of Technology Involvement in Education from Student’s Perspective,” Proceedings of the Pakistan Academy of Sciences: A Pakistan Academy of Sciences Physical and Computational Sciences 59(3),2022, doi:https://doi.org/10.53560/PPASA(59-3)788
3. Asad Ullah, Huma Qayyum, Farman Hassan, Muhammad Khateeb Khan, Auliya Ur Rahman. (2022). Comparison of Machine Learning Algorithms for Sepsis Detection. International Journal of Innovations in Science Technology, 4(1), 175-188
4. M. Khateeb, S. M. Anwar and M. Alnowami, ”Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset,” in IEEE Access, vol. 9, 2021, doi: 10.1109/ACCESS.2021.3051281. IF 3.745

Conference Publications

1. M. A. Arshad, A. U. Rahman, Y. Hafeez, S. Mahmood, M. Islam and M. K. Khan, ”Applying
   Multidimensional Framework in Agile Software Development (MDFA),” 2021 International Conference on Innovative Computing (ICIC), 2021, pp. 1-8, doi: 10.1109/ICIC53490.2021.9693024.
2. Sepsis Detection Using Extreme Gradient Boost (XGB): A Supervised Learning Approach by Asad Ullah, Huma Qayyum,Muhammad Khateeb Khan and Fawad Ahmad in IEEE MAJICC,
   July 2021

 

Interests

Brain Computer Interaction (BCI)

Medical Imaging

Emotional Intelligence

Machine Learning

Computer Vision

Artificial Intelligence

Software Quality