Ms. Rabia Iftikhar
In 2018, Rabia Iftikhar received her degree, M.E. Software engineering, from Mehran UET, Jamshoro, Pakistan. Earlier than that, in 2016, she was awarded with a degree, B.E. Software engineering, from Mehran UET, Jamshoro. She�s currently serving as Lecturer at Department of Software Engineering, Mehran UET, Jamshoro and has a total of two conference publications on record. Her research areas include, but not limited to, Data mining, Machine learning, Location-based services, and Smart cities.
Contact Information
[email protected]
+92 22 2772250 Ext: 6915
| M.E IICT, Mehran university of engineering and technology, Jamshoro |
2018 |
| B.E SWE, Mehran university of engineering and technology, Jamshoro |
2016 |
| Lecturer SWE, Mehran University of Engineering and Technology, Jamshoro |
2020-Present |
| Teaching Assistant SWE, Mehran University of Engineering and Technology, Jamshoro |
2016-2018 |
|
Web Engineering
Active
Bachelors in Software Engineering |
Undergraduate Course |
|
Software design & architecture
Bachelors in Software Engineering |
Undergraduate Course |
| Year | Type | Title |
|---|---|---|
| 2018 | Conference | Rabia Iftikhar, Dr. Mohsin Memon, Prof. Tahseen Hafiz and Rabeea Jaffri, A Novel framework for location based messages, IEEE 5th International multitopic conference, IMTIC, 25-27 April, 2018, Jamshoro. |
| 2017 | Conference | R. Jaffari, M. Memon, T. Hafiz and R. Iftikhar, "Framework of business intelligence systems for infrastructure design and management," First IEEE International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, 2017, pp. 1-8. |
| 2021 | Journal | Mahoto, N. A., Iftikhar, R., Shaikh, A., Asiri, Y., Alghamdi, A., & Rajab, K. (2021). An Intelligent Business Model for Product Price Prediction Using Machine Learning Approach. Intelligent Automation & Soft Computing, 29(3), 147-159. |
| 2021 | Journal | Mahoto, N. A., Iftikhar, R., Shaikh, A., Asiri, Y., Alghamdi, A., & Rajab, K. (2021). An Intelligent Business Model for Product Price Prediction Using Machine Learning Approach.�Intelligent Automation & Soft Computing,�30(1). |