2014 – Till

Lecturer, UNIVERSITY OF ENGINEERING and Technology, Mardan

Working as a Lecturer at the Department of Computer Science

2019 – 2024

Coordinator, Lecturer, City University of Science and Information Technology, Peshawar

Worked as Computer Science Coordinator and Lecturer

2013 – 2019

Lecturer, FYP Coordinator, Northern University, Nowshera

Worked as FYP Coordinator and Lecturer

2023 – 2024

Visiting Lecturer, University of Engineering and Technology, Mardan

Worked as a visiting lecturer at the Department of Computer Science

2017 – 2019

visiting lecturer, University of swabi, swabi

Worked as a visiting lecturer at the Department of Computer Science

2009 – 2013

Lecturer, National Institute of technology, Akora Khattak

Worked as Computer Science Lecturer

2021 -

PhD (in progress), University of Engineering and Technology, Mardan

2018

MSCS, City university of science and information technology, Peshawar

S. No.

Authors and Title

1

Khan, B., Naseem, R., Muhammad, F., Abbas, G. and Kim, S., 2020. An empirical evaluation of machine learning techniques for chronic kidney disease prophecy. IEEE Access, 8, pp.55012-55022

2

Khan, B., Naseem, R., Binsawad, M., Khan, M. and Ahmad, A., 2020. Software Cost Estimation Using Flower Pollination Algorithm. Journal of Internet Technology, 21(5), pp.1243-1251.

3

Naseem, R., Khan, B., Shah, M.A., Wakil, K., Khan, A., Alosaimi, W., Uddin, M.I. and Alouffi, B., 2020. Performance assessment of classification algorithms on early detection of liver syndrome. Journal of Healthcare Engineering, 2020.

4

Naseem, R., Khan, B., Ahmad, A., Almogren, A., Jabeen, S., Hayat, B. and Shah, M.A., 2020. Investigating tree family machine learning techniques for a predictive system to unveil software defects. Complexity, 2020.

5

Khan, B., Khan, W., Arshad, M. and Jan, N., 2020. Software cost estimation: Algorithmic and non-algorithmic approaches. International Journal of Data Science and Advanced Analytics (ISSN 2563-4429), 2(2), pp.1-5.

6

Khan, B., Naseem, R., Ali, M., Arshad, M. and Jan, N., 2019. Machine learning approaches for liver disease diagnosing. International Journal of Data Science and Advanced Analytics (ISSN 2563-4429), 1(1), pp.27-31.

7

Arshad, M., Rukh, L., Shah, H. and Khan, B., 2019. Performance analysis of mpls and traditional ip in node scalable networks. Journal of Independent Studies and Research Computing, 17(1).

8

Qureshi, M.S.G., Khan, B. and Khan, N.M., Intelligence based Hepatitis Diagnosis: An Empirical Study. University of Swabi Journal, 2(3), pp. 08-12, 2018

9

Shah, T.N., Khan, M.Z., Ali, M., Khan, B. and Idress, N., 2020. CART, J-48graft, J48, ID3, Decision Stump and Random Forest: A comparative study. University of Swabi Journal, 2(1), pp. 01-06, 2018

10

Shah, T.N., Khan, M.Z., Ali, M., Khan, B. and Muhammad, H., Critical Analysis of Six Frequently Used Classification Algorithms. University of Swabi Journal, 2(2), pp. 36-40, 2018

11

Khan, B., Naseem, R., Shah, M.A., Wakil, K., Khan, A., Uddin, M.I. and Mahmoud, M., 2021. Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques. Journal of Healthcare Engineering, 2021.

12

Mary, N., Khan, B., Ishfaq, Q. and Khan, M.Z., Empirical Study of Intelligence Techniques for Cardio Vascular Disease. University of Swabi Journal, 3(1), pp. 16-26, 2019

13

Khan, B., Naseem, R., Alam, I., Khan, I., Alasmary, H., & Rahman, T. (2022). Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements (IEEE Access)

14

Mary, N., Khan, B., Asiri, A.A., Muhammad, F., Khan, S., Alqhtani, S., Mehdar, K.M., Halwani, H.T., Irfan, M. and Alshamrani, K.A., 2022. Heart Disease Risk Prediction Expending of Classification Algorithms. CMC-COMPUTERS MATERIALS & CONTINUA, 73(3), pp.6595-6616.

15

Muhammad, F., Khan, B., Naseem, R., Asiri, A.A., Alshamrani, H.A., Alshamrani, K.A., Alqhtani, S.M., Irfan, M., Mehdar, K.M. and Halawani, H.T., 2023. Liver Ailment Prediction Using Random Forest Model. CMC-COMPUTERS MATERIALS & CONTINUA, 74(1), pp.1049-1067.

16

Qureshi, M.S.G., Khan, B. and Arshad, M., 2022. ML-Based Model for Risk Prediction in Software Requirements. International Journal of Technology Diffusion (IJTD), 13(1), pp.1-17.

17

Asiri AA, Khan B., Muhammad F, Alshamrani HA, Alshamrani KA, Irfan M, Alqhtani FF. Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification. Intelligent Automation & Soft Computing. 2023 Apr 1;36(1).

18

E3Graphy: A Novel Integrated Model for Bio-signals Acquisition and Disease Detection (International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies)

19

Khan B., Arshad M. and Khan S. S. 2023, PDF Malware Detection using Machine Learning Models and Test Cases Analysis. Journal of Cyber Security (JCS), vol. 5, pp. 1-11.

20

Author Age and Gender Identification using Query Likelihood and Vector Space Models (1st International Conference on Computing Technologies, Tools and Applications (ICTAPP-23))

21

Khan, M.H., Khan, B., Jan, S. and Chughtai, M.I., Author’s Age and Gender Prediction on Hotel Review Using Machine Learning Techniques.

22

Khan, B., Shah, Z.A., Usman, M., Khan, I. and Niazi, B., 2023. Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey. IEEE Access.

23

Danyal, M. M., Khan, S. S., Khan, M., Ghaffar, M. B., Khan, B., & Arshad, M. Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques. Journal on Big Data (JBD), 2023

24

Neural Network Based Phishing Websites Classification: An Empirical Analysis (Journal of Cyber Security)

25

Khan, B., Jan, S., Khan, W. and Chughtai, M.I., 2024. An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing. Journal on Big Data, 6.

26

ABMRF: An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu (Intelligent Automation and Soft Computing)

27

Binsawad, M., Khan, B. FEPP: Advancing Software Risk Prediction in Requirements Engineering through Innovative Rule Extraction and Multi-Class Integration

28

Binsawad, M., Khan, B. Advanced Detection of Abnormal ECG Patterns Using an Optimized LADTree Model with Enhanced Predictive Feature: Potential Application in CKD

29

Jan, S., Aiman, Khan, B. and Arshad, M., 2024. Exploring COVID-19 Classification and Object Detection Strategies: X-Rays Image Processing. In Deep Cognitive Modelling in Remote Sensing Image Processing (pp. 198-218). IGI Global. Book Chapter