DEPARTMENT.FACULTY
Dr. Arshad Iqbal
- DEPARTMENT_STAFF.QUALIFICATION
PhD, MCA
- DEPARTMENT_STAFF.DESIGNATION
Assistant Professor
- DEPARTMENT_STAFF.THRUST_AREA
Machine Learning, Image Processing
- DEPARTMENT_STAFF.ADDRESS
Flat No:3, First Floor, Kishwar Apartment, S. S. Nagar, Near Nadeem Tarin Hall, Aligarh-202001
- DEPARTMENT_STAFF.MOBILE
9927400876
- DEPARTMENT_STAFF.EMAIL
iqbal.arshadcqs@gmail.com
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Arshad Iqbal is working as Assistant Professor in Computer Science at K. A. Nizami Centre for Quranic Studies, AMU, Aligarh since July 2011. He obtained MCA and PhD degrees from AMU, Aligarh. His research areas include Machine Learning, Image Processing and Quranic Studies through ICT. He is also involved in manage Language Lab and website of the centre. Worked as Part-time Consultant in Library Management Software (LibMS) at AMU under NME-ICT ERP Mission Project from January 2011 to September 2014.
- Domain Encryption by Slice and Shift Operator: SAR 256
S. Hassan, Arshad Iqbal and R. Raza “Domain Encryption by Slice and Shift Operator: SAR 256”, Indian Journal of Computer Science and Technology, Volume 12, Issue 4, pages 798-817. Jul-Aug 2021, ISSN: 0976-5166 (Online), Scopus indexed
DOI : 10.21817/indjcse/2021 /v12i4/211204022
- Machine Reading of Arabic Manuscripts using KNN and SVM Classifiers Zafar and Arshad Iqbal, "Machine Reading of Arabic Manuscripts using KNN and SVM Classifiers", in proceedings of INDIACom-2020 7th International Conference on “Computing for Sustainable Global Development”, held on 12th - 14th March, 2020 at BVICAM, New Delhi, published on IEEE Xplore:13 May 2020, pp 83-87,Scopus indexed, DOI: https://doi.org/10.23919/INDIACom49435.2020.9083696
- Offline Handwritten Quranic Text Recognition: A Research Perspective Arshad Iqbal and A. Zafar, "Offline Handwritten Quranic Text Recognition: A Research Perspective", Amity International Conference on Artificial Intelligence (AICAI), held on 4-6 Feb, 2019 at Dubai, UAE, published on IEEE Xplore: 29 April 2019, pp 125-128, Scopus indexed,DOI: https://doi.org/10.1109/AICAI.2019.8701404.
- Application of Soft Computing Techniques in Machine Reading of Quranic Kufic Manuscripts A. Zafar and Arshad Iqbal, "Application of Soft Computing Techniques in Machine Reading of Quranic Kufic Manuscripts", Journal of King Saud University - Computer and Information Sciences, First Published version available Online:30-April-2020, Web of Science and Scopus indexed, DOI:https://doi.org/10.1016/j.jksuci.2020.04.017.