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OUR TEAM

Ms. Alina Maryum

Lecturer (CS)

Introduction

I am Alina Maryum, a Lecturer in the Department of Computer Science at NUTECH. With over 3 years of experience in academia, my primary research interests lie in Machine learning and Digital image processing and Deep learning. I am passionate about exploring how CNN models can solve real-world problems, particularly in healthcare.

Experience

Lecturer, Department of Computer Science, NUTECH, Islamabad (2024–Present)

    • Teaching undergraduate courses in Database systems and Applications of ICT.
    • Serving as an odoo coordinator to handle student queries on odoo.

Lecturer Department of Computer Science, University of Wah, Wah Cantt (2022–2024)

    • Taught undergraduate courses related to Database systems, ICT, Programming, OOP etc.
    • Certificate of Organizing the Open House & Job Fair 2023 at University of Wah-25th May 2023 as a Placement Officer.
    • Working knowledge of Outcome Based Assessment (OBE)
    • Certificate of being a Judge at Tech’On Annual Event at University of Wah
    • Member of various committees including Admission Committee, Curriculum Devising Committee, Placement Officer, Internal FYP Evaluation Committee at University of Wah.

Jr. Lecturer, Department of Computer Science, Sir Syed CASE IT, Islamabad (2021–2022)

    • Taught introductory programming courses, including Python and Java, for undergraduate students.
    • Developed new course materials and assignments to better integrate industry-relevant technologies into the curriculum.

Qualification

  • Academia:
    • Ph.D. in Software Engineering, NUST College of E&ME, Rawalpindi (2022-Present)
    • M.S. in Software Engineering, NUST College of E&ME, Rawalpindi (2019-2021)
    • B.Sc. in Software Engineering, Fatima Jinnah Women University (2015-2019)

I have published 1 research paper in IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET). I also received a Gold Medal at College of E&ME, NUST, Rawalpindi in my MS career.

Taught Courses

I have taught a variety of undergraduate courses in the Computer Science Department. Below are the courses I have been involved in teaching:

  • Programming Fundamentals
    An introductory course focusing on programming concepts using C++, covering topics such as variables, control structures, functions, and basic data structures.
  • Object Oriented Programming
    A core course that covers fundamental OOP concepts such as classes and objects and basic pillars of OOP.
  • Artificial Intelligence Lab
    A course covering the principles and techniques of AI and their implementation in python programming language.
  • Applications of Information and Communication Technologies
    A basic and introductory course focused on the history, new trends and advancements in communication technologies.
  • Digital Logic and Design
    A course that explores binary logic and logic gates and their application as multiplexers, decoders, flip flops and counters etc..
  • Database Systems
    A course exploring the concept of database and the basic operations of database using SQL queries.

Research

My research focuses on the intersection of machine learning, digital image processing, and deep learning. I am currently working on my PhD project that applies DL techniques to healthcare, for predicting osteoporosis.

    • Ongoing Research Projects:
      • Osteoporosis prediction and BMD estimation from x-rays using deep learning
    • Publications:
      • A. Maryum, M. U. Akram and A. A. Salam, "Cassava Leaf Disease Classification using Deep Neural Networks," 2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), pp. 32-37, 2021.