Uzair Iqbal

Assistant Professor
  • Department of Computer Science
  • uzair.Iqbal@nu.edu.pk
  • (041) 111-128-128
  • Ext: 376

Introduction

Dr. Uzair Iqbal analyzed ECG data streams to identify the correlation between multiple heart diseases using model-driven deep deterministic learning. In 2020, he completed his Ph.D. in Computer Sciences (Machine learning-based ECG analysis) from University Malaya, Malaysia.  He published a number of ISI Index research papers in top venue journals.  Currently, he is working as an Assistant Professor in the Faculty of Computer Sciences, National University of Computer and Emerging Sciences (NUCES) Chiniot-Faisalabad Campus, Pakistan from 2016 to 2021, he worked as a lecturer in the software engineering department of the National University of Modern Languages, Islamabad. Pakistan.  Moreover, he is an active member of research community of the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). Additionally; he is an active member of the European Society Cardiology (ESC)

Interest

• Machine Learning

• Deep Deterministic Learning

• Federated Learning

• Intelligent Computing

• Edge Intelligence

• Agile AI

Education

Doctor of Philosophy (Computer Sciences), 2020

Information systems Department, FSKTM, University of Malaya, Kuala Lumpur, Malaysia

Masters in Software Engineering, 2015
University of Engineering & Technology (UET), Taxila. Pakistan

Bachelor of Science in Software Engineering, 2009
University of Engineering & Technology(UET), Taxila. Pakistan

Publications

(1) MUHAMMAD IMRAN, BIN YAO, WAQAS ALI, ADNAN AKHUNZADA, MUHAMMAD KASHIF AZHAR, MUHAMMAD JUNAID, UZAIR IQBAL “Research Perspectives and Challenges of Blockchain for Data-intensive and Resource-constrained Devices,” in IEEE Access, doi: 10.1109/ACCESS.2022.3162096. (Q1) (IF=3.4)
(2) Rashid, Umer, Aiman Javid, Abdur Rehman Khan, Leo Liu, Adeel Ahmed, Osman Khalid, Khalid Saleem, Shaista Meraj, Uzair Iqbal, and Raheel Nawaz. “A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images.” PeerJ Computer Science 8 (2022): e888. (Q2) (IF=2.4)
(3) Uzair Iqbal, Teh Ying Wah, M. Habib Ur Rehman and Jamal Hussain Shah,” Prediction analytics of myocardial infarction through model-driven deep deterministic learning” in Neural Computing and Applications.2019 (Q1) (IF=4.6)
(4) Uzair Iqbal, Teh Ying Wah, M. Habib Ur Rehman and Qurat-ul-Ain Mastoi,” A deterministic approach for finding the T onset parameter of Flatten T wave in ECG” in Journal of Information Science and Engineering,35(2): 307-321.2019 (Q4)(IF=0.4)
(5) Uzair Iqbal, Teh Ying Wah, Habib Ur Rehman, M.Imran and M. Shoaib, ” Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things” in Journal of Medical Systems, 2018. doi: 10.1007/s10916-018-1107-2. (Q2)(IF=2.0)
(6) Uzair Iqbal, Teh Ying Wah , Muhammad Habib ur Rehman , Qurat-ul-Ain Mastoi “Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review” IEEE ACCESS Volume 6, 2018. (Q1)(IF=4.4)
(7) Qurat-ul-Ain Mastoi ,Teh Ying Wah, Ram Gopal Raj, Uzair Iqbal “Automated Diagnosis of Coronary Artery Disease: A Review and Workflow” CARDIOLOGY RESEARCH AND PRACTICE, 2018