Curriculum Vitae

DR. UZAIR IQBAL

Senior Lecturer
  • Department of Software Engineering
    Faculty of Computer Science and Information Technology
  • uzairiqbal
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  • 01112462644

AREAS OF EXPERTISE

  • NON-COMMUNICABLE DISEASES NURSING (INCLUDING DIABETES, RHEUMATOLOGY NURSING)
    Medical And Health Sciences, Nursing, Nursing Practices
  • NEURAL NETWORK FOR MACHINE LEARNING
    Applied Science And Technology, Information And Communication Technology (ict), Artificial Intelligence And Machine Learning
  • QUALITY AND ACCESSABLE HEALTH SYSTEM
    Human And Societal Resilency, Basic Human And Social Needs

ACADEMIC QUALIFICATION

  • DEGREE OF DOCTOR OF PHILOSOPHY, (DATA MINING)
    Universiti Malaya (UM)
  • MASTER OF SCIENCE IN SOFTWARE ENGINEERING, (Kejuruteraan Perisian)
    University of Engineering and Technology Taxila
  • BSC(SOFTWARE ENGINEERING), (Kejuruteraan Perisian)
    University of Engineering and Technology Taxila

ADMINISTRATIVE DUTIES

  • Focal person for Department of Software Engineering in FSKTM newsletter and publication committee
    12 Sep 2024 - 07 Jun 2027 (Department)
  • PANEL MEMBER in REMOS of SOFTWARE ENGINEEEIRNG DEPARTMENT
    07 Jun 2024 - 07 Jun 2027 (Department)
  • Remos SE Sem 1 and 2 2024/2025 on 25/1/2025
    25 Jan 2025 - 25 Feb 2025 (Department)

MEMBERSHIPS

  • PAKISTAN ENGINEERING COUNCIL(PEC), MEMBER
    Since 2009 (International)

AWARD AND STEWARDSHIP

  • Reviewer Certificate (Bmc Medical Informatics and Decision Making)
    2024, Springer,  (International)
  • reviewer certificate (BMC Medical Informatics and Decision Making)
    2024, Springer, International

PUBLICATIONS

Article in Journal
  1. Shahnawaz, M. B., Dawooda, H., & Iqbal, U. (2024). Heart rate variability analysis in controls and epilepsy patients with or without receiving treatment: a clinical review and meta-analysis. Neural Computing and Applications, 36(29), 18043-18063.
  2. Khalid, M., Sarfraz, M. S., Iqbal, U., Aftab, M. U., Niedba a, G., & Rauf, H. T. (2023). Real-Time Plant Health Detection Using Deep Convolutional Neural Networks. Agriculture, 13(2), 510. https://doi.org/10.3390/agriculture13020510
  3. qbal, U., Imtiaz, R., Saudagar, A. K. J., & Alam, K. A. (2023). CRV-NET: Robust Intensity Recognition of Coronavirus in Lung Computerized Tomography Scan Images. Diagnostics, 13(10), 1783. https://doi.org/10.3390/diagnostics13101783

RESEARCH INTEREST

  • Machine learning in healthcare (ML in Healthcare)
  • Neuro symbolic Machine learning (Neuro symbolic in Healthcare)

RESEARCH PROJECT

Private
  1. 2025 - 2027, Xiamen University Malaysia Research Fund (XMUMRF), Cycle 15/2025
    Large Language Model Agents for EEG Analysis, Xiamen University Malaysia ( Co-Researcher)

ACADEMIC/ PROF. SERVICES

Contribution to external organisation
  1. (2025) Research Talk On “Future Trends in Parallel Processing, University, (Resource Person)

SUPERVISION

Postgraduate Student
PhD/ Doctoral
  1. (2024) TRANING SYSTEMS BASED ON NEURAL NETWORK, SHIRIN HOSSEINZADEHSAHRAEI
Master
  1. (2024) XAIDeepSkin – An Approach for Diagnosis of Skin Lesions using Deep Neural Networks and Explainable AI, maryam Sana (National University of Computer and Emerging Sciences, Pakistan)
  2. (2024) Speech-to-Cardiac Morbidities Recognition on ECG via Diffusion Model, Maira Hashmi (National University of Computer and Emerging Sciences, Pakistan)