Shahgufta Iftikhar

Lecturer

 

  • MS Computer Science (2022 -2024)

Capital University of Sciences & Technology (CUST), Islamabad

  • BS Computer Science (2018 -2022)

National University of Modern Languages (NUML), Islamabad

 

LECTURER
(Sep 2025 - Present)
National University of Modern Languages (NUML), Islamabad

VISITING LECTURER
(Feb 2025 - Present)
National University of Modern Languages (NUML), Islamabad

  1. Iftikhar, S., Anjum, N., Siddiqui, A. B., Ur Rehman, M., & Ramzan, N. (2025). Explainable CNN for brain tumor detection and classification through XAI based key features
    identification. Brain Informatics, 12(1), 10.
  2. Iftikhar, S. (2022). Iqra Naz, Anmol Zahra, and Syeda zainab Yousuf Zaidi. 2022. Report Generation of Lungs Diseases From Chest X-Ray Using NLP”. International Journal of
    Innovations in Science & Technology, 3(4), 223-233.
  3. Ajum, N., Iftikhar, S., Kalsoom, T., & Ur Rehman, M. (2024). Wireless Sensors for Multi‐ modal Health Monitoring. Multimodal Intelligent Sensing in Modern Applications, 81-108.

Deep Learning

Computer Vision

Education

 

  • MS Computer Science (2022 -2024)

Capital University of Sciences & Technology (CUST), Islamabad

  • BS Computer Science (2018 -2022)

National University of Modern Languages (NUML), Islamabad

 

Experience

LECTURER
(Sep 2025 - Present)
National University of Modern Languages (NUML), Islamabad

VISITING LECTURER
(Feb 2025 - Present)
National University of Modern Languages (NUML), Islamabad

Publications

  1. Iftikhar, S., Anjum, N., Siddiqui, A. B., Ur Rehman, M., & Ramzan, N. (2025). Explainable CNN for brain tumor detection and classification through XAI based key features
    identification. Brain Informatics, 12(1), 10.
  2. Iftikhar, S. (2022). Iqra Naz, Anmol Zahra, and Syeda zainab Yousuf Zaidi. 2022. Report Generation of Lungs Diseases From Chest X-Ray Using NLP”. International Journal of
    Innovations in Science & Technology, 3(4), 223-233.
  3. Ajum, N., Iftikhar, S., Kalsoom, T., & Ur Rehman, M. (2024). Wireless Sensors for Multi‐ modal Health Monitoring. Multimodal Intelligent Sensing in Modern Applications, 81-108.

Interests

Deep Learning

Computer Vision