Department | NUML

Faculty Profile

AH.JISKANI@GMAIL.COM

+92-333-6135130

1. PhD Computer Science University of Management & Technology [2018 - 2022]

CGPA: 3.62/ 4, (Gold Medalist)

2. M.Phil COMSATS Institute of Information Technology Marks

CGPA: 3.66/ 4 Major / Specialization: Software Engineering

3. BS Computer Science Bahauddin Zakariya University Multan, Pakistan Marks: CGPA: 3.14/ 4 Major / Specialization: Computer Science

4. ICS (Computer Science) equivalent to A levels Central College Multan, Pakistan

5. Secondary School Certificates (SSC) equivalent to O levels Millat Public School Multan, Pakistan [2013 - 2016] [2008 - 2012] [2006 - 2008] [2005 - 2006]Learning, Artificial Intelligence

1.Assistant Professor Computer Science Department of Software Engineering (March 15, 2023 - Present)

Faculty of Computer Science Lahore Garrison University, Lahore, Pakistan

2.Lecturer Computer Science Department of Computer Science (October 02, 2020 - March 14, 2023)

KAIMS International Institute, Multan, Pakistan

3.Lecturer Computer Science Department of Computer Science & Information Technology( November 2017 - September 2020 )

National College of Business Administration & Economics, Multan, Pakistan

5.Lecturer Computer Science Department of Computer Science(August 22, 2016 - September 27,2017)

Bahria Model College & University, Islamabad, Pakistan

6. Sr. System Engineer Network Communication & Information Security (February 04, 2013 - February 03, 2016 )

National Database and Registration Authority (NADRA), Multan, Pakistan

Journal Papers:

1. Khan, A. H., (2023). Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease Computers, Materials & Continua, IF 3.14 HEC Category: W

2. Khan, A. H., Malik, H., Khalil, W., Hussain, S. K., Anees, T., & Hussain, M. (2023). Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images. Computers, Materials & Continua, 76(1). IF 3.14 HEC Category: W

3. Rasool, S., Khan, A. H., Rasool, Q., Abbas, S., & Hussain, S. K. (2023). A Systematic Analysis for the Detection of Skin Disease Using Deep Learning Methodologies. Journal of Computing & Biomedical Informatics, 4(02), 66-75. HEC Category: Y

4. Naeem, A., Khan, A. H., u din Ayubi, S., & Malik, H. (2023). Predicting the Metastasis Ability of Prostate Cancer using Machine Learning Classifiers. Journal of Computing & Biomedical Informatics, 4(02), 1-7. HEC Category: Y

5. Zareen, S. S., Guangmin, S., Li, Y., Kundi, M., Qadri, S., Qadri, S. F., ... & Khan, A. H. (2022). A machine vision approach for classification of skin cancer using hybrid texture features. Computational Intelligence and Neuroscience, 2022. IF 3.14 HEC Category: W

6. Mahmood, M. A., Malik, H., Khan, A. H., Adnan, M., & Khan, M. I. A. (2022). Neural Network-Based Prediction of Potential Ribonucleic Acid Aptamers to Target Protein. Journal of Computing & Biomedical Informatics, 4(01), 21-36. HEC Category: Y

7. Javed, R., & Khan, A. H . (2022). A Systematic Analysis for Cardiovascular Disease Classification Using Learning. Journal of Computing & Biomedical Informatics, 3(02), 32-41. HEC Category: Y

8. Deep Ahmad, M. U., Ashiq, S., Badshah, G., Khan, A. H., & Hussain, M. (2022). Feature extraction of plant leaf using deep learning. Complexity, 2022. IF 2.88 HEC Category: W

9. Javed, R., Khan, A. S., & Khan, A. H. (2022). Deep Learning Techniques for Diagnosis of Lungs Cancer. Journal of Computing & Biomedical Informatics, 3(01), 230-242. HEC Category: Y

10. Jabbar, J., Hussain, M., Malik, H., Gani, A., Khan, A. H., & Shiraz, M. (2022). Deep Learning Based Classification of Wrist Cracks from X-ray Imaging. CMC-COMPUTERS MATERIALS & CONTINUA, 73(1), IF 3.14 HEC Category: W

11. 1827-1844. Khan, A. H., Hussain, M., & Malik, M. K. (2021). Arrhythmia Classification Techniques Using Deep Neural Network. Complexity, 2021 IF 2.66 HEC Category: W

12. Khan, A. H., Hussain, M., & Malik, M. K. (2021). Cardiac disorder classification by electrocardiogram sensing using deep neural network. Complexity, 2021. IF 2.66 HEC Category: W

13. Khan, A. H., Hussain, M., & Malik, M. K. (2021). ECG Images dataset of Cardiac and COVID -19 Patients. Data in Brief, 34, 106762. IF 0.99 HEC Category: X

14. Khan, A. H., Haroon, M., Altaf, O., Awan, S. M., & Asghar, A. (2020). Sentimental Content Analysis and Prediction of Text. In Intelligent Technologies and Applications: Second International Conference, INTAP 2019, HAIDER KHAN Page 2 of 5 Bahawalpur, Pakistan, November 6-8, 2019, Springer Singapore. HEC Category: Y

15. Aftab, J., Sarwar, H., Khan, A. H., & Kiran, A. (2019). Critical factors which impact on students’ satisfaction: a study of e-learning institutes of Pakistan. Asian Journal of Distance Education, 14(2), 32-46

16. Khan, A. H., Aftab, J., Anjum, U., & Ul Amin, S. (2016). Impact of organizational justice perceptions on employee's performance behavior in project oriented organizations in Pakistan. PM World J, 5, 1-11.

17. Altaf, O ., Khan, A. H., & Haroon, M. (2019). Data Analysis on Classification Algorithm (s) for Efficiency Meritorious Journal of Computer Sciences and Information Technology, 1(1).

Conference Proceedings:

1. Matrix. Khan, I. U., Khan, Z. A., Ahmad, M., Khan, A. H., Muahmmad, F., Imran, A., ... & Hamid, M. K. (2023, May). Machine Learning Techniques for Permission-based Malware Detection in Android Applications. In 2023 9th International Conference on Information Technology Trends (ITT) (pp. 7-13). IEEE.

2. Hafeez, M. A., Imran, A., Khan, M. I., Khan, A. H., Nawaz, A., & Ahmed, S. (2022, May). Diagnosis of Liver Disease Induced by Hepatitis Virus Using Machine Learning Methods. In 2022 8th International Conference on Information Technology Trends (ITT) (pp. 154-159). IEEE.

3. Khan, M. I., Khan, Z. A., Imran, A., Khan, A. H., & Ahmed, S. (2022, May). Student Performance Prediction in Secondary School Education Using Machine Learning. In 2022 8th International Conference on Information Technology Trends (ITT) (pp. 94-101). IEEE.

4. Basharat, S., Raza, S. F., Rashid, I., Asif, N., Khan, A. H., & Ahmad, M. U. (2021, November). Learning Based Approach for Facial Fiducial Points Prediction of Non Frontal Faces. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-9). IEEE.

5. Razzaq, A., Raza, M., Saif, F., Sajid, M. S., Bano, N., & Khan, A. H. (2021, November). IoT Based Fish Stress Factor Monitoring System. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-6). IEEE.

6. Khan, M. S. S., Akbar, M. O., Malik, H., Khan, A. H., & Akbar, Z. (2021, November). Variable Generalization Evaluation of Supervised Learning Models for Detection of Spam Messages. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-7). IEEE.

7. Jabbar, J., Malik, H., Khan, A. H., Ahmad, M. U., & Ali, A. (2021, November). A Study of Image Processing Methods for Investigation of Radiographs. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-6). IEEE

. 8. Riaz, S., Khan, A. H., Haroon, M., Latif, S., & Bhatti, S. (2020, August). Big data security and privacy: Current challenges and future research perspective in cloud environment. In 2020 International Conference on Information Management and Technology (ICIMTech) (pp. 977-982). IEEE.

9. Khan, A. H., Haroon, M., Altaf, O., Awan, S. M., & Asghar, A. (2019, November). Sentimental Content Analysis and Prediction of Text. In International Conference on Intelligent Technologies and Applications (pp. 287 295). Springer, Singapore.

10. Rehman, A. U., Khan, A. H., Aftab, M., Rehman, Z., & Shah, M. A. (2019, September). Hierarchical topic modeling for Urdu text articles. In 2019 25th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. Funded Projects: 1. 2. 3. “ Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease”. This research was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No. 3,363]. Submission Date August 2023. Principal Investigator: Ali Haider Khan & COPI: Qazi Mudassar Ilyas “A Machine Vision Approach For Classification Of Skin Cancer Using Hybrid Texture Features” This research was supported by The National Natural Science Foundation Of China Under Grant Nos. 11527801 And 41706201. Submission Date: 2022. “Feature extraction of plant leaf using deep learning” This research was supported by King Khalid University, Abha 61421, P.O. Box 960, Saudi Arabia Grant No. 1989. Submission Date May, 2022.

Medical Image Processing

• Machine Learning

• Deep Learning • Data Mining

• Python • Web Designing (PHP, HTML, CSS, JQuery, Ajax, JavaScript, Bootstrap)

• Software Construction (JAVA, C++)

• Mobile Applications Development (Android)

• Database Management System and Administration

Education