Faculty Profile

Muhammad Yousif

 

  muhammad.yousif@numl.edu.pk

  0303-9246771

  https://scholar.google.com/citations?user=3mZqhZoAAAAJ&hl=en

  • PH.D (COMPUTER SCIENCE), Lahore Garrison University (2024-2027)
  • M.PHIL (COMPUTER SCIENCE) National College of Business Administration and Economics, Lahore
  • BS (SOFTWARE ENGINEERING), Govt College University, Fasilabad
  • LECTURER            NATIONAL UNIVERSITY OF MODERN LANGUAGES - LAHORE (Current)
  • LECTURER            MINHAJ UNIVERSITY - LAHORE (2024-2025)
  • LECTURER            NATIONAL COLLEGE OF BUSINESS ADMINISTRATION AND ECONOMICS - LAHORE (2019-2024)
  • LECTURER            CENTRAL COLLEGE - MULTAN (2017-2019)
  • PRACTICAL EXAMINER       LAHORE BOARD OF INTERMEDIATE AND SECONDARY EDUCATION - LAHORE (2023-2025)
  1. Yousif, M., Nagra, A. A., Abubakar, M., Ali, F., Saleem, S., Khan, H. W., & Haider, M. H. (2024). Machine Learning-Based Suicide Risk Assessment and Intervention Strategies for Depression.
  2. Yousif, M., Rehman, F., Nagra, A. A., Saleem, S., Abdulwahid, A., & Sarfraz, M. (2025). Color Image Segmentation Optimization: Threshold Edge Detection with Harmonic and Wiener Filter Enhancements. Journal of Computing & Biomedical Informatics, 9(01).
  3. Yousif, M., Abbas, A., Hasan, Z., Ali, D., & Sarfraz, M. (2021). Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput., 9(4), 27.
  4. Ume Reem Syeda Naila Batool, M. Yousif. (2025). A Security-Preserving Ensemble Convolutional Neural Network Framework for Automated Forensic Image Evidence Classification. International Journal for Electronic Crime Investigation,9(2),104-117.
  5. Saleem, S., Yousif, M., Abubakar, M., Rehman, F., & Yousaf, S. (2025). Ethical Considerations in Utilizing Machine Learning for Depression and Anxiety Detection in College Students. Journal of Computing & Biomedical Informatics, 8(02).
  6. Butt, K. K., Yousif, M., Sumra, I. A., Qazi, A., & Khan, S. (2025). Blockchain in the Digital Age: Challenges, Opportunities, and Future Trends. Journal of Computing & Biomedical Informatics, 8(02).
  7. Saeed, A., Yousif, M., Fatima, A., Abbas, S., Khan, M. A., Anum, L., & Akram, A. (2019). An Optimal Utilization of Cloud Resources using Adaptive Back Propagation Neural Network and Multi-Level Priority Queue Scheduling. ISeCure, 11(3).
  8. Iqbal, M. W., Issa, G. F., Yousif, M., & Atif, M. (2023, March). Detection and replay of distributed denial of service attacks in smart cities using a hybrid deep learning approach. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-7). IEEE.
  9. Mahfuri, M., Alnawaiseh, A. E., Asad, U., Yousif, M., Aslam, S., Chabani, Z., & Fiaz, M. (2023, March). Blockchain and edge computing integration boosts scalability and reduces latency. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-7). IEEE.
  10. Maryam, Z., Rehman, F., Ashraf, U., Shakil, M. S., & Yousif, M. (2025). Sentiment Analysis on Social Media Posts Using Roberta: A Deep Learning Approach For Text Classification. Journal of Computing & Biomedical Informatics, 9(01).
  11. Umera, A., Khalid, Z., Qamar, S., Iqbal, Z., Saeed, M., & Yousif, M. (2025). Smart Crop Recommendation Using Ensemble Machine Learning Models. Journal of Computing & Biomedical Informatics, 9(01).
  12. Shakil, M. S., Maryam, Z., Manzoor, H., Ramzan, S., Yousaf, S., & Yousif, M. (2025). Medical Image Analysis for Brain and Kidney Tumor Detection Using Convolutional Neural Networks. Journal of Computing & Biomedical Informatics.
  13. Akram, M. I., Yousaf, S., Zubair, M., Riaz, M., & Yousif, M. (2025). CYBERSECURITY CHALLENGES AND THE ROLE OF MACHINE LEARNING IN MODERN MALWARE DETECTION. Spectrum of Engineering Sciences, 653-668.
  14. Abubakar, M., Sattar, A., Manzoor, H., Farooq, K., & Yousif, M. (2025). Iiot: An infusion of embedded systems, tinyml, and federated learning in industrial iot. Journal of Computing & Biomedical Informatics, 8(02).
  15. Khan, M. A. Yousif,M.(2019). An intelligent and secure communication of AIoT enabled devices empowered with IPK algorithm. Lahore Garrison University Research Journal of Computer Science and Information Technology, 3(4), 1-13.
  • Exploring Innovative Ideas and Emerging Research Techniques

Education

  • PH.D (COMPUTER SCIENCE), Lahore Garrison University (2024-2027)
  • M.PHIL (COMPUTER SCIENCE) National College of Business Administration and Economics, Lahore
  • BS (SOFTWARE ENGINEERING), Govt College University, Fasilabad

Experience

  • LECTURER            NATIONAL UNIVERSITY OF MODERN LANGUAGES - LAHORE (Current)
  • LECTURER            MINHAJ UNIVERSITY - LAHORE (2024-2025)
  • LECTURER            NATIONAL COLLEGE OF BUSINESS ADMINISTRATION AND ECONOMICS - LAHORE (2019-2024)
  • LECTURER            CENTRAL COLLEGE - MULTAN (2017-2019)
  • PRACTICAL EXAMINER       LAHORE BOARD OF INTERMEDIATE AND SECONDARY EDUCATION - LAHORE (2023-2025)

Publications

  1. Yousif, M., Nagra, A. A., Abubakar, M., Ali, F., Saleem, S., Khan, H. W., & Haider, M. H. (2024). Machine Learning-Based Suicide Risk Assessment and Intervention Strategies for Depression.
  2. Yousif, M., Rehman, F., Nagra, A. A., Saleem, S., Abdulwahid, A., & Sarfraz, M. (2025). Color Image Segmentation Optimization: Threshold Edge Detection with Harmonic and Wiener Filter Enhancements. Journal of Computing & Biomedical Informatics, 9(01).
  3. Yousif, M., Abbas, A., Hasan, Z., Ali, D., & Sarfraz, M. (2021). Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network. Internet Things Cloud Comput., 9(4), 27.
  4. Ume Reem Syeda Naila Batool, M. Yousif. (2025). A Security-Preserving Ensemble Convolutional Neural Network Framework for Automated Forensic Image Evidence Classification. International Journal for Electronic Crime Investigation,9(2),104-117.
  5. Saleem, S., Yousif, M., Abubakar, M., Rehman, F., & Yousaf, S. (2025). Ethical Considerations in Utilizing Machine Learning for Depression and Anxiety Detection in College Students. Journal of Computing & Biomedical Informatics, 8(02).
  6. Butt, K. K., Yousif, M., Sumra, I. A., Qazi, A., & Khan, S. (2025). Blockchain in the Digital Age: Challenges, Opportunities, and Future Trends. Journal of Computing & Biomedical Informatics, 8(02).
  7. Saeed, A., Yousif, M., Fatima, A., Abbas, S., Khan, M. A., Anum, L., & Akram, A. (2019). An Optimal Utilization of Cloud Resources using Adaptive Back Propagation Neural Network and Multi-Level Priority Queue Scheduling. ISeCure, 11(3).
  8. Iqbal, M. W., Issa, G. F., Yousif, M., & Atif, M. (2023, March). Detection and replay of distributed denial of service attacks in smart cities using a hybrid deep learning approach. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-7). IEEE.
  9. Mahfuri, M., Alnawaiseh, A. E., Asad, U., Yousif, M., Aslam, S., Chabani, Z., & Fiaz, M. (2023, March). Blockchain and edge computing integration boosts scalability and reduces latency. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-7). IEEE.
  10. Maryam, Z., Rehman, F., Ashraf, U., Shakil, M. S., & Yousif, M. (2025). Sentiment Analysis on Social Media Posts Using Roberta: A Deep Learning Approach For Text Classification. Journal of Computing & Biomedical Informatics, 9(01).
  11. Umera, A., Khalid, Z., Qamar, S., Iqbal, Z., Saeed, M., & Yousif, M. (2025). Smart Crop Recommendation Using Ensemble Machine Learning Models. Journal of Computing & Biomedical Informatics, 9(01).
  12. Shakil, M. S., Maryam, Z., Manzoor, H., Ramzan, S., Yousaf, S., & Yousif, M. (2025). Medical Image Analysis for Brain and Kidney Tumor Detection Using Convolutional Neural Networks. Journal of Computing & Biomedical Informatics.
  13. Akram, M. I., Yousaf, S., Zubair, M., Riaz, M., & Yousif, M. (2025). CYBERSECURITY CHALLENGES AND THE ROLE OF MACHINE LEARNING IN MODERN MALWARE DETECTION. Spectrum of Engineering Sciences, 653-668.
  14. Abubakar, M., Sattar, A., Manzoor, H., Farooq, K., & Yousif, M. (2025). Iiot: An infusion of embedded systems, tinyml, and federated learning in industrial iot. Journal of Computing & Biomedical Informatics, 8(02).
  15. Khan, M. A. Yousif,M.(2019). An intelligent and secure communication of AIoT enabled devices empowered with IPK algorithm. Lahore Garrison University Research Journal of Computer Science and Information Technology, 3(4), 1-13.

Interests

  • Exploring Innovative Ideas and Emerging Research Techniques