Muhammad Sufyan Khan
Mr. Muhammad Sufyan Khan is a dedicated and knowledgeable Software Engineering Lecturer specializing in Software Costing and Estimation, Artificial Intelligence/Machine Learning, Deep Learning, Software Engineering, and Smart Grid Energy Management. With a strong background of software industry in conducting regular software audits to maintain quality standards, he ensures the delivery of high-quality and efficient solutions. He actively participates in bi-weekly meetings with the Computing department and serves as a member of the Curriculum Review Committee at Capital University of Science & Technology, Islamabad, ensuring efficient collaboration, communication, and continuous improvement of the academic programs according to HEC standards .
In addition to his expertise in software quality assurance, Mr.Muhammad Sufyan Khan has versatile skills in graphic designing, front-end development (PSD, mockups), web designing (PSD to HTML, HTML5, CSS, CSS3 Conversion), and web development using platforms such as WordPress and Shopify. With a commitment to maintaining quality and staying updated with industry trends, Mr. Khan brings a holistic approach to his work.
Mr. Muhammad Sufyan Khan is enthusiastic about contributing his expertise and collaborating with students and colleagues at Capital University of Science & Technology, Islamabad. His profile showcases his qualifications and achievements, and he welcomes inquiries for potential collaborations and further information.
QUALIFICATION MS Software Engineering COMSATS, Islamabad 2020 BS Software Engineering University of Science and Technology, Bannu 2014 TEACHING EXPERIENCE Lecturer University of Science and Technology Bannu 2021 – 2022 Visiting Lecturer Federal Urdu University of Arts, Science & Technology, Islamabad 2020 – 2021
RESEARCH AREAS / INTERESTS
- Artificial intelligence/Machine Learning
- Deep Learning
- Software Engineering
- Software Costing and Estimation
- Smart Grid Energy Management
|1.||BS||License Plate Recognition System|
|2.||BS||Zakat Regulatory System|
|3.||BS||Smart Health Consulting and Pharmacy|
|4.||BS||Competitive Exam System|
|5.||BS||Atomized National Rural Support System|
|6.||BS||Shelter Homes Management System|
|7.||BS||Event Management System|
|1.||M. S. Khan, F. Jabeen, S. Ghouzali, Z. Rehman, S. Naz and W. Abdul, “Metaheuristic
Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation,”
in IEEE Access, vol. 9, pp. 60309-60327, 2021, doi: 10.1109/ACCESS.2021.3072380.
|2.||Ch Anwar ul Hassan, Muhammad Sufyan Khan, Rizwana Irfan, Jawaid Iqbal,
Saddam Hussain, Syed Sajid Ullah, Roobaea Alroobaea, Fazlullah Umar, “Optimizing
Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic
Algorithmic Approach”, Computational Intelligence and Neuroscience, vol. 2022,
Article ID 3145956, 20 pages, 2022. https://doi.org/10.1155/2022/3145956 (IF:3.64)
|3.||Hassan, C.A.U.; Iqbal, J.; Khan, M.S.; Hussain, S.; Akhunzada, A.; Ali, M.; Gani, A.;
Uddin, M.; Ullah, S.S. Design and Implementation of Real-Time Kitchen Monitoring
and Automation System Based on Internet of Things. Energies 2022, 15, 6778.
https://doi.org/10.3390/en15186778, Energies, (IF:3.05)
|4.||Hassan, C.A.U.; Karim, F.K.; Abbas, A.; Iqbal, J.; Elmannai, H.; Hussain, S.; Ullah,
S.S.; Khan, M.S. A Cost-Effective Fall-Detection Framework for the Elderly Using
Sensor-Based Technologies. Sustainability 2023, 15, 3982.
|1.||M. S. Khan, C. A. ul Hassan, M. A. Shah and A. Shamim, “Software Cost and Effort
Estimation using a New Optimization Algorithm Inspired by Strawberry Plant,” 2018
24th International Conference on Automation and Computing (ICAC), 2018, pp. 1-6,
|2.||Hassan, Ch Anwar Ul, Muhammad Sufyan Khan “An Effective Nature Inspired
Approach for the Estimation of Software Development Cost,” 2021 16th International
Conference on Emerging Technologies (ICET), 2021, pp. 1-6, doi:
|3.||Khan, M. S., ul Hassan, C. A., Sadiq, H. A., Ali, I., Rauf, A., & Javaid, N. (2017,
August). A new meta-heuristic optimization algorithm inspired from strawberry plant for
demand side management in smart grid. In International Conference on Intelligent
Networking and Collaborative Systems (pp. 143-154). Springer, Cham.
|4.||Hassan, Ch Anwar Ul, Muhammad Sufyan Khan, and Munam Ali Shah. “Comparison
of Machine Learning Algorithms in Data classification.” 2018 24th International
Conference on Automation and Computing (ICAC). IEEE, 2018. Empirical Analysis of
Various Benchmarking Datasets using Different Machine Learning
|5.||Ali I., Pamir, Khan M.S., Sadiq H.A., Faraz S.H., Javaid N. (2018) Home Energy Management Based on Harmony Search Algorithm and Crow Search Algorithm. In:
Barolli L., Enokido T., Takizawa M. (eds) Advances in Network-Based
|6.||ul Hassan, Ch. A., Khan, M. S., Ghafar, A., Aimal, S., Asif, S., & Javaid, N. (2017,
August). Energy optimization in smart grid using grey wolf optimization algorithm and
bacterial foraging algorithm. In International Conference on Intelligent Networking and
Collaborative Systems (pp. 166-177). Springer, Cham
|7.||Ch. Anwar ul Hassan and M. Sufyan Khan, “An Effective Nature Inspired Approach for
the Estimation of Software Development Cost,” 2021 16th International Conference on
Emerging Technologies (ICET), 2021, pp. 1-6, doi: