Faculty Profile


Hafiz Muhammad Saad Bin Ehtisham

 

  Saad.ehtisham@numl.edu.pk

  0343-0212013

  https://www.linkedin.com/in/saadbinehtesham/

  https://orcid.org/0000-0001-8092-6847

  • Doctor of Philosophy (Ph.D.) - Hamdard University
    2024 - (In Process)

  • Master of Science in Computer Science (MS) - Hamdard University
    2020 - 2022

  • Bachelor of Science in Computer Science (BS) - Hamdard University
    2015 - 2019

  • Intermediate (Pre-Engineering) - Adamjee Government Science College, Karachi
    2013

  • Lecturer - Faculty of Engineering and Computing, Computer Science
    NUML University, Karachi Campus
    September 2024 - Present

  • Assistant Manager Administration - IU School System, Karachi
    February 2024 - August 2024

  • Lecturer - Faculty of Engineering Science and Technology, Department of Computing
    Hamdard University, Karachi
    March 2023 - November 2023

  • Management Information System, Coordinator - Hamdard University, Karachi
    July 2021 - March 2023

  • Assistant Academic Officer - Graduate School of Engineering Science and Technology, Hamdard University, Karachi
    January 2022 - April 2022

  1. Efficient Implementation of Intelligent Traffic Management System under Severe Adverse Weather Conditions (aITMS)
    Journal of Independent Studies and Research Computing (JISR-C), SZABIST, Karachi
    Volume 21, Issue 2, Y Category
    Published: [Year of Publication]

  2. Un-Authorized Person Detector Using UAV-Patrolling Drone
    Pakistan Journal of Engineering, Technology & Sciences, IoBM
    In Process
    Y Category

  • AI-based Autonomous Systems: Developing intelligent systems capable of understanding and interacting with their environment through vision.

  • Multimodal Learning: Integrating computer vision with AI domains like natural language processing to improve performance in tasks such as image captioning and visual question answering.

  • Object Recognition: Building robust systems for detecting and recognizing objects in complex and cluttered environments.

  • Convolutional Neural Networks (CNNs): Exploring applications in image classification, object detection, and segmentation.

Education

  • Doctor of Philosophy (Ph.D.) - Hamdard University
    2024 - (In Process)

  • Master of Science in Computer Science (MS) - Hamdard University
    2020 - 2022

  • Bachelor of Science in Computer Science (BS) - Hamdard University
    2015 - 2019

  • Intermediate (Pre-Engineering) - Adamjee Government Science College, Karachi
    2013

Experience

  • Lecturer - Faculty of Engineering and Computing, Computer Science
    NUML University, Karachi Campus
    September 2024 - Present

  • Assistant Manager Administration - IU School System, Karachi
    February 2024 - August 2024

  • Lecturer - Faculty of Engineering Science and Technology, Department of Computing
    Hamdard University, Karachi
    March 2023 - November 2023

  • Management Information System, Coordinator - Hamdard University, Karachi
    July 2021 - March 2023

  • Assistant Academic Officer - Graduate School of Engineering Science and Technology, Hamdard University, Karachi
    January 2022 - April 2022

Publications

  1. Efficient Implementation of Intelligent Traffic Management System under Severe Adverse Weather Conditions (aITMS)
    Journal of Independent Studies and Research Computing (JISR-C), SZABIST, Karachi
    Volume 21, Issue 2, Y Category
    Published: [Year of Publication]

  2. Un-Authorized Person Detector Using UAV-Patrolling Drone
    Pakistan Journal of Engineering, Technology & Sciences, IoBM
    In Process
    Y Category

Interests

  • AI-based Autonomous Systems: Developing intelligent systems capable of understanding and interacting with their environment through vision.

  • Multimodal Learning: Integrating computer vision with AI domains like natural language processing to improve performance in tasks such as image captioning and visual question answering.

  • Object Recognition: Building robust systems for detecting and recognizing objects in complex and cluttered environments.

  • Convolutional Neural Networks (CNNs): Exploring applications in image classification, object detection, and segmentation.