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OUR TEAM

Ms. Shanza Zafar Malik

Lecturer (CS)

Introduction

I am Shanza Zafar Malik, a Lecturer in the Department of Computer Science at NUTECH University. With over 02 years of experience in both academia and the tech industry, my primary research interests lie in Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing and Data Science. I am passionate about exploring how data-driven models can solve real-world problems, particularly in academic and field. My teaching philosophy centers around providing students with a strong theoretical foundation, while also equipping them with practical skills for the evolving tech landscape.

Experience

Lecturer, Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus (2023–2024)

  • Teach undergraduate courses in AI, Machine Learning, Data Structures and Software Engineering.
  • Advise undergraduate students on research projects related to natural language processing and machine learning.
  • Served as a faculty mentor for student clubs focused on AI and technology innovations.
  • I teach courses like programming, data structures, and algorithms, and design assignments    and exams to assess student progress.
  • I supervise final year projects, helping students apply their knowledge to real world problems.
  • I stay updated on the latest tech trends and occasionally contribute to research.

ICT Teacher, Army Public School & College System, Attock (2022–2023)

  • As a devoted educator, I am honored to cultivate young minds in the ever-evolving realm of Information and Communication Technology.
  • Delivered lectures, conducted labs, and led discussions. Prepared and graded exams, assignments and reports. Advised students on academics and career decisions. 

Qualification

  • Academia:
    • Master of Science in Computer Science, COMSATS University Islamabad, Attock Campus (2023)
    • Bachelors of Science in Software Engineering, COMSATS University Islamabad, Attock Campus (2020)
    • Intermediate (Pre-Engineering), Fauji Foundation College, Attock Campus (2016)
    • Matriculation (Science Group), FG Public High School, Attock Campus (2014)

I have published 1 Journal Article in top-tier journal named as Peer J with the impact factor of 3.8 as a first Author given below:

  • Malik SZ, Iqbal K, Sharif M, Shah YA, Khalil A, Irfan MA, Rosak-Szyrocka J. 2024. “Attentionaware with stacked embedding for sentiment analysis of student feedback through deep learning techniques”. PeerJ Comput. Sci. 10:e2283

Type of Publication: Journal Article

DOI: http://doi.org/10.7717/peerj-cs.2283

  • Certifications:
    • Merit Scholarship Certificate in 4th year of BS from Pakistan Ordinance Factories (2020)
    • Merit Scholarship Certificates in 2nd year of BS from Pakistan Ordinance Factories (2018)
    • Merit Scholarship Certificate in 1st year of BS from Pakistan Ordinance Factories (2017)
    • Merit Scholarship Certificate in Intermediate from Pakistan Ordinance Factories (2016)
  • Trainings:
    • COMBITS Programming Workshop & Competition organized by COMSATS University Islamabad, Attock Campus.
    • 1-day Seminar on Ethical Hacking organized by COMSATS University Islamabad, Attock.
    • 1-day Seminar on Women Empowerment on Women day organized by COMSATS University Islamabad, Attock Campus.
    • 1-day Workshop on Stress Management organized by COMSATS University Islamabad, Attock Campus. 
    • 1-day Workshop on Time Management organized by COMSATS University Islamabad, Attock Campus.

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:

  • Software Design and Architecture
    A course emphasizes creating robust, scalable software systems by applying design principles, architectural patterns, and best practices.
  • Software Engineering Concepts
    A core course focuses on systematic approaches to software development, emphasizing requirements analysis, design, implementation, testing, and maintenance.
  • Artificial Intelligence
    A high level course covering the principles and techniques of AI, including search algorithms, knowledge representation, reasoning, machine learning, and robotics.
  • Machine Learning
    A course focused on the theory and application of machine learning algorithms, including supervised and unsupervised learning, neural networks, and deep learning.
  • Object Oriented Programming
    A core course focuses on designing software using classes and objects, emphasizing principles like encapsulation, inheritance, and polymorphism to create reusable and modular code.
  • Operating System
    A course explores the design and functionality of system software that manages hardware resources, processes, memory, and file systems.

Research

My research focuses on the intersection of machine learning, natural language processing, and computer vision. I am currently working on several projects that apply AI techniques to healthcare, such as developing algorithms for automated diagnosis and personalized treatment recommendations. I have received research funding from both the National Science Foundation (NSF) and private tech companies for my work on deep learning models for medical imaging.

    • Ongoing Research Projects:
      • Sentiment Analysis of Student Feedback using Text Embeddings.
      • Sentiment Analysis of Student Feedback using Data Augmentation.
    • Publications:
  • Malik SZ, Iqbal K, Sharif M, Shah YA, Khalil A, Irfan MA, Rosak-Szyrocka J. 2024. “Attentionaware with stacked embedding for sentiment analysis of student feedback through deep learning techniques”. PeerJ Comput. Sci. 10:e2283.

Projectes

  • Deep Learning Assisted Attention Aware Sentiment Analysis for Student Feedback by using Text Embedding Techniques (2023):

In this research work, we used the VIT-VSFC dataset for sentiment analysis of student feedback. We applied data augmentation techniques to handle the data or class imbalance problem. We utilized Fasttext and ELMO text embedding techniques and also incorporated the multihead attention mechanism. We proposed a hybrid model combining deep learning classifiers, including bi LSTM, GRU and Bi-GRU, to address the out of vocabulary words and morphology problems.

  • Automated Vaccination System (2020):

We have proposed a model basically consist of an android app and website for automated vaccination system for facilitating the community of Pakistan as well as workers of vaccination system to tackle the location area and covered the whole child and also send the notifications to the parents of children to inform about vaccination dates that they can vaccinate their children on time.