Department of Computer Science

Dr. Rabia Javed
Rabia Javed

Lecturer
Department of Computer Science, LCWU
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Education

  • Doctor of Philosophy Computing (2017–2021)
    Universiti Teknologi Malaysia (UTM), Johor Bahru Malaysia.
  • Master of Computer Science (2011–2013)
    Lahore College for Women University , Lahore, Pakistan.
  • Bachelor of Sciences (Computer Science) (2006-2010)
    Lahore College for Women University, Lahore, Pakistan.

Experience

  • May 6, 2014 – Current
    Lecturer in Computer Science Department (BPS-18)
    Lahore College for Women University, Lahore, Pakistan.
  • September 15, 2010 – May 5, 2014
    Demonstrator in Computer Science Department (BPS-16)
    Lahore College for Women University, Lahore, Pakistan.
  • June 15, 2010, to September 15, 2010 Web Developer
    Interactive Technologies, Lahore, Pakistan.

Teaching Experiences 

  • Undergraduate
    Computer Applications
    Programming Fundamentals
    Object-Oriented Programming
    Digital Image Processing
    Digital Logic Design
    Software Engineering
    Computer Organization and Assembly Language
    E-Commerce
  • Postgraduate                                                         
    Big Data Analytics
    Computer Visualization and Animation

Supervision of BS Projects and Mphil Thesis

Supervised BS Projects Titles

  1. Mind-Care: An Android Application for Mental Health Counseling (2025-completed).
  2. ShopFusion: An Android Application of a Marketplace Enhanced by Augmented Reality (2024-completed).
  3. Android-Based Application for Air Quality Prediction Using Deep Learning Technique (2024-completed).
  4. A Web-Based Smart Attendance System Using Face Recognition (2024-completed).
  5. Trip Planner: A Smartphone Application for Tourism (2023-completed).
  6. Secure And    Transparent    Equity-Based    Crowdfunding    Android    Application    for Entrepreneurs and Investors (2023-completed).
  7. Skin Lab: An Android-Based Mobile Application for Diagnosis of Skin Diseases (2023- completed).

Supervised MPHIL Thesis Titles

  1. Enhancing deepfake audio detection through advanced deep learning techniques (2025- completed).
  2. Enhancing deep-learning model for image-based deepfake detection through facial analysis (2025-completed).
  3. An efficient deep learning approach for early seizure detection for epilepsy using neuroimaging dataset (2024).
  4. An efficient deep learning technique for colon cancer detection using histopathological images (2023).
  5. Early detection and classification of apple leaf disease using deep learning technique (2023).

Conference/Workshop/Seminar/Training

Year List of Conferences/Workshops/Seminars/Training (2019-25)
Conferences
2019
2019 12th International Conference on Developments in eSystems Engineering
 
(DeSE)
 
(IEEE-explore, Scopus and Web of Science)
2021
CAIDA 2021: First International Conference on Artificial Intelligence and Data
 
Analytics
2023
Horizons in STEM higher education (Resilience, Innovation and Pedagogy)

Workshops

  • 2019
    Data Analysis Workshop with PHYTON- Hands on workshop
  • 2020                 
    Mendeley Reference Management System (RMS)
  • 2021                 
    Thesis Writing Workshop
  • 2021                 
    Thesis Template Workshop
  • 2023                 
    Outcome Based Education and Curriculum Development 
Seminars/Webinars
  • 2024
  • Business Plan and Development
  • 2019                 
  • 14th Postgraduate Annual Research Seminar
  • 2019                        
  • Tips and Techniques of How to Graduate on Time (G.O.T)
  • 2019                         
  • Coffee Session: How to be an Intelligent Reader
  • 2019                 
  • Challenges and How to Cope with Journal Rejection
  • 2021 (Webinar)
    Where to Publish? Identifying the Right Journal for Your Research
  • (Webinar) 2021
    Viva Defense Preparation
  • (Webinar) 2021
    Hands-on How to Discuss Your Findings for Publication in Top Quality Ranked Journals
  • 2021          The key elements to graduating on time
  • 2021          Sharing of the thesis by publication
  • 2023          Fundamentals of the AI and ML
  • 2024          Startup Ecosystem and Women Entrepreneurship Session

Training/Courses

2022

Undergraduate STEM Education in Pakistan (8-days)

2024

Take-Up Certified Entrepreneurial Coach Level 1

2025

Founder Edge Cohort II

2025

Women Empowerment Mentor Program Cohort

2025

AI for beginners

2025

Generative AI

2025

Introduction to AI

2025

Use AI responsibly

2025

Google Prompting Essentials

2025

Maximize Productivity with an AI Tool

2025

Transitioning from Postgraduate Studies to Professional Careers

2025

Enabling a perfect research ecosystem with Elsevier's ScienceDirect & SD-AI

2025

Avoiding Common Pitfalls in Social Science Manuscripts: What Editors Often

 

Reject and Why.

Publications

  1. Malik, Wajeeha, Rabia Javed, Fahima Tahir, and Muhammad Atif Rasheed. "COVID-19 Detection by Chest X-Ray Images through Efficient Neural Network Techniques." International Journal of Theoretical & Applied Computational Intelligence (2025): 35-56.
  2. Shah, S. A., Tahir, F., Qamar, S., Umera, A., & Javed, R. (2025). 3D Topological Modeling in Forensic Science: Integrating GIS for Digital Evidence Visualization and Analysis. International Journal for Electronic Crime Investigation, 9(1), 56–73. https://doi.org/10.54692/IJECI.2025.0901/244.
  3. Javed, T. Saba, T. J. Alahmadi, S. Al-Otaibi, B. AlGhofaily, and A. Rehman, “EfficientNetB1 Deep Learning Model for Microscopic Lung Cancer Lesion Detection and Classification Using Histopathological Images,” Computers, Materials and Continua, vol. 81, no. 1, pp. 809–825, Oct. 2024, doi: 10.32604/CMC.2024.052755. [WoS, SCOUPUS, Q2, IF=3.1, W]
  4. Khan, Amjad Rehman, Javed, Rabia, Sadad, Tariq, Bahaj, Saeed, Sampedro, Gabriel and Abisado, Mideth. (2023). “Early pigment spot segmentation and classification from iris cellular image analysis with explainable deep learning and multiclass support vector machine,” Biochemistry and Cell Biology, 2023, doi: 10.1139/bcb-2023-0183. [WoS, IF=2.9, X]
  5. Javed, M. Shafry, M. Rahim, T. Saba, and A. Rehman, “A comparative study of features selection for skin lesion detection from dermoscopic images,” Netw. Model. Anal. Heal. Informatics Bioinforma., vol. 1, 2020, doi: 10.1007/s13721-019-0209-1. [WoS, SCOUPUS, IF=1.06]
  6. Saba, R. Javed, M. S. M. Rahim, A. Rehman, and S. A. Bahaj, “IoMT Enabled Melanoma Detection Using Improved Region Growing Lesion Boundary Extraction,” Comput. Mater. Contin., vol. 71, no. 2, pp. 6219–6237, 2022, doi: 10.32604/cmc.2022.020865. [WoS, SCOUPUS, Q2, IF=3.1, W]
  7. Awan MJ, Gilani SAH, Ramzan H, Nobanee H, Yasin A, Zain AM, Javed R. "Cricket Match Analytics Using the Big Data Approach," Electronics., 2021; 10(19):2350. https://doi.org/10.3390/electronics10192350 19, 2021, doi: 10.3390/electronics10192350. [WoS, SCOUPUS, Q2, IF=2.6, X]
  8. Javed, S. Farhan, and S. Humdullah, “A Hybrid Approach Based on Pattern Recognition and BioNLP for Investigating Drug-Drug Interaction,” Curr. Bioinform., vol. 10, no. 3, pp. 315–322, 2015, doi: 10.2174/157489361003150723135136. [WoS, SCOUPUS, Q3]
  9. Javed, M. Shafry, M. Rahim, T. Saba, and M. Rashid, “Region-based active contour JSEG fusion technique for skin lesion segmentation from dermoscopic images.,” Biomed. Res., vol. 30, no. 6, pp. 1–10, 2019. [SCOUPUS, IF=0.219]
  1. Javed and S. Mohd , Rahim Tanzila, “An Improved Framework by Mapping Salient Features for Skin Lesion Detection and Classification using the Optimized Hybrid Features,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, pp. 95–101, 2019. [SCOUPUS, IF=0.20]
  2. Javed, R., Rahim, M.S., Saba, T., Fati, S.M., Rehman, A., & Tariq, Usman. (2021). "Statistical Histogram Decision Based Contrast Categorization of Skin Lesion Datasets Dermoscopic Images,"Cmc-computers Materials & Continua, 67, 2337-2352. [WoS, SCOUPUS, Q2, IF=3.1, W]
  3. Humdullah S, Othman SH, Razali MN, Kutty Mammi H, Javed R. "An Improved Blockchain Technique for Secure Land Registration Data Records," J. Innov. Comput. 2021;11(2):89–94. [SCOUPUS]

Conference Paper

  1. Javed, T. Saba, M. Shafry, and M. Rahim, “An intelligent saliency segmentation technique and classification of low contrast skin lesion dermoscopic images based on histogram decision,” Proc. - Int. Conf. Dev. eSystems Eng. DeSE, vol. October-20, no. 3,
  2. 164–169, 2019, doi: 10.1109/DeSE.2019.00039. [SCOUPUS, WoS]
  3. Tariq, M. J. Awan, Javed, and N. Ayesha, “A Comparison of Two-Stage Classifier Algorithm with Ensemble Techniques On Detection of Diabetic Retinopathy,” in 2021 1st International Conference on Artifical Intelligence and Data Analytics (CAIDA), 2021,
  4. 5. [SCOUPUS, WoS]
  5. O. Aftab, M. J. Awan, S. Khalid, R. Javed, and H. Shabir, “Executing Spark BigDL for Leukemia Detection from Microscopic Images using Transfer Learning,” in 2021 1st International Conference on Artifical Intelligence and Data Analytics (CAIDA), 2021, p.
  6. [SCOUPUS, WoS]
  7. Javed, R., Saba, T., Humdullah, S., MOHD JAMAIL, N.S., & Javed Awan, M., “An Efficient Pattern Recognition Based Method for Drug-Drug Interaction Diagnosis,” in 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA), 2021, p. 221-226. [SCOUPUS, WoS]

Chapter in Book

  1. Rabia Javed, Mohd Shafry Mohd Rahim, Tanzila Saba, Gul Sahar, Mazhar Javed Awan, An Accurate Skin Lesion Classification Using Fused Pigmented Deep Feature Extraction Method, Prognostic Models in Healthcare: AI and Statistical Approaches, 2021, Springer, Singapore

RESEARCH AWARD

  1. The Best Research Paper award in the 14th postgraduate annual research seminar 2019, ‘PARS 2019’, held at the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru.