Dr Sana Mohsin
-
Lecturer
- Sana.mohsin11@gmail.com
Lecturer at Sir Syed CASE Institute of Technology. This profile contains relevant information about the faculty member. For any queries or further information, please feel free to reach out using the contact details provided above. The department is committed to supporting students and visitors with their questions and academic needs.
Sana Tameer received the BS degree in Electronics in 2015 from COMSATS University, Islamabad, Pakistan in, the MS degree in Electrical Engineering in 2019 from the Abasyn University of Islamabad., Pakistan and the Ph.D. degree in Engineering in 2023 from Asia Pacific University of Innovation and Technology, Kuala Lumpur, Malaysia. She used to hold several administrative posts with the department of Sir Syed CASE IT, Islamabad, from 2021 to 2022. She is currently an adjunct faculty with the Department of Humanities and Sciences at Sir Syed CASE IT. Her research interests include soft machine learning, Artificial Neural Network and deep learning. She can be contacted at email: sana.mohsin11@gmail.com. ORCID: https://orcid.org/0000-0002-7180-2073
Degree
Specialization
University
Year
PhD
Machine Learning Algorithms
Asia Pacific University
2023
Designation
Company
From
To
N/A
N/A
N/A
N/A
Title
Description
N/A
N/A
Year
Awarding Organization
Description
N/A
N/A
N/A
Title
Organization
From
To
N/A
N/A
N/A
N/A
Courses Taught
- Communication Skills
- Business Mathematics- I
- Business Mathematics-II
- Object Oriented Programme (Java & C++)
- Discrete Structures
- Probability & Statistics
- Quantitative Methods
- Advance Statistics
- Research Methodology
Key Publications (Journals & Books)
Butt, T.F., Tameer, S., Saleem, M., Rehman, J.S.U. and Selvaperumal, S.K., (2025). A comparative study on electricity load forecasting using statistical and deep learning approaches. Indonesian Journal of Electrical Engineering and Computer Science, 38(3), pp.1540–1552
Babbar, S.M. and Yong, L.C., (2023). Short Term Solar Power Forecasting Using Deep Neural Networks. In Advances in Information and Communication: Proceedings of the 2023 Future of Information and Communication Conference (FICC), Volume 2 (pp. 218-232). Cham: Springer Nature Switzerland.
Babbar, S.M. and Yong, L.C., (2022, October). Solar Power Prediction using Machine Learning Algorithms: A Comparative Study. In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (pp. 1313-1319). IEEE.
Babbar, S. M. ., & Langah, T. H. (2022). Wind Power Prediction Using Neural Networks with Different Training Models. Indonesian Journal of Innovation and Applied Sciences (IJIAS), 2(1), 12-17.
Sana Mohsin Babbar, Chee Yong Lau and Ka Fei Thang (2021), “Long Term Solar Power Generation Prediction using Adaboost as a Hybrid of Linear and Non-linear Machine Learning Model” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11).
Mohsin, S., Ramli, S.N. and Imdad, M., (2021). Medium-Term Wind Speed Prediction using Bayesian Neural Network (BNN). International Journal of Systematic Innovation, 6(5), pp.11- 20.
BABBAR, S. M., and LAU, C. Y. (2020). MEDIUM TERM WIND SPEED FORECASTING USING COMBINATION OF LINEAR AND NONLINEAR MODELS. Solid State Technology, 63(1s), 874-882.
Babbar, S.M., Babbar, M.M. and Imdad, M., (2020). Design of off-grid home based PV Solar system. Research Journal of Engineering, Science and Technology International, 1(1), pp.14- 22.
Jahangir, L. and Babbar, S.M., (2020). Medium term wind speed using Random Forest algorithm. International Research Journal in Computer Science and Technology, 1(1), pp.47- 53.
Rasool, M., Babbar, S.M. and Babbar, M.M., (2020). Calculation of Deflection and Stresses of Curved Profiles. Research Journal of Engineering, Science and Technology International, 1(1), pp.23-32.
Key Publications (Conferences & Workshops)
N/A