Curriculum Vitae

DR. UZAIR ISHTIAQ

Senior Lecturer
  • Department of Artificial Intelligence
    Faculty of Computer Science and Information Technology
  • uzair
  • 0379677022

BIOGRAPHY

Dr. UZAIR ISHTIAQ received master’s degree in Computer Science from NUCES Islamabad, Pakistan, and the Ph.D. degree Faculty of Computer Science and Information Technology, Universiti Malaya, Malaysia. He worked as a Lecturer at COMSATS University Islamabad for more than 10 years and has been Senior Lecturer with the Department of Artificial Intelligence, FCSIT, Universiti Malaya, Malaysia, since 2025. He has published several articles in academic journals indexed in ISI and Scopus.

ACADEMIC QUALIFICATION

  • Degree of Doctor Philosophy, (Computer Science)
    Universiti Malaya
  • Master of Science (Computer Science), (Computer Science)
    National University of Computer and Emerging Sciences
  • B.S in Information Technology, (Information Technology)
    Bahauddin Zakariya University

PUBLICATIONS

Article in Journal
WoS
  1. Nezhad, Seyed Matin Mazloom; Abdullah, Erma Rahayu Mohd Faizal; Ibrahim, Norliza; Bakhsh, Heba H.; Ishtiaq, Uzair; Rahmat, Rabiah Al Adawiyah; AlMugairin, Sarah; ElKhateeb, Sara M. (2025). A hybrid convolutional neural network model for dental age estimation using buccal alveolar bone level for Saudi children, BMC ORAL HEALTH. 25(1). doi:10.1186/s12903-025-06694-9
  2. Ishtiaq, Uzair; Abdullah, Erma Rahayu Mohd Faizal; Ishtiaque, Zubair (2023). A Hybrid Technique for Diabetic Retinopathy Detection Based on Ensemble-Optimized CNN and Texture Features, DIAGNOSTICS. 13(10). doi:10.3390/diagnostics13101816
  3. Ishtiaq, U., Kareem, S. A., Abdullah, E., Mujtaba, G., Jahangir, R., & Ghafoor, H. Y. (2020). Diabetic retinopathy detection through artificial intelligent techniques: a review and open issues. Multimedia Tools and Applications, 79(21-22), 15209-15252. doi: 10.1007/s11042-018-7044-8
  4. Jahangir, R., Teh, Y. W., Memon, N. A., Mujtaba, G., Zareei, M., Ishtiaq, U., . . . Ali, I. (2020). Text-Independent Speaker Identification Through Feature Fusion and Deep Neural Network. Ieee Access, 8, 32187-32202. doi: 10.1109/access.2020.2973541
ESCI
  1. Ishtiaq, Uzair; Abdullah, Erma Rahayu Mohd Faizal; Ishtiaque, Zubair; Nayer, Fatima Khan; Idris, Salma; Rehman, Amjad (2025). Lung Cancer Classification via Entropy-Driven Feature Selection and Deep Learning Architectures on Multi-Modal Imaging Data, INTERNATIONAL JOURNAL OF TECHNOLOGY. 16(4), 1306-1322. doi:10.14716/ijtech.v16i4.7646
Article in Proceeding
  1. Jahangir, R., Teh, Y. W., Ishtiaq, U., Mujtaba, G., & Nweke, H. F. (2018, May). Automatic speaker identification through robust time domain features and hierarchical classification approach. In Proceedings of the international conference on data processing and applications (pp. 34-38).

RESEARCH PROJECT

University
  1. 2025 - 2027, University Grant
    Enhancing Sustainable Fisheries Management Through AI- Powered Predictive Analytics And Ecosystem Monitoring ( Co-Researcher)

SUPERVISION

Postgraduate Student
  1. (2025) Enhancing Diabetic Retinopathy Detection using Explainable Deep Learning Models, XIN QI LEE