Dr. Hamid Ghous

Brief Bio

Dr. Hamid Ghous is an accomplished academic and researcher with extensive experience in artificial intelligence, data science, and computational research. With over a decade of international research and academic experience, he has contributed significantly to interdisciplinary fields including machine learning, image processing, and bioinformatics.

He has published 47 research papers, supervised 30+ MPhil students, and led 3 funded research projects. His work  encompasses collaboration with international organizations, including Australian research institutions. At the University of Southern Punjab, he plays a key leadership role in research development, curriculum quality assurance, and student supervision.

Education
PhD
University of Technology Sydney, Australia
2016
Masters in Advanced Computing
University of Technology Sydney, Australia
2008
Master of Computer Science (MCS)
University of Lahore
2005
Professional Experience
Associate Professor
University of Southern Punjab, Multan
2023 – Till now
Assistant Professor
University of Southern Punjab, Multan
2019 – 2023
Research Manager
Australian Scientific and Engineering Solutions, Sydney
2011 – 2019
Data & QA Analyst
Brand Communities, Sydney
2011
Lecturer / Research Assistant
University of Technology Sydney
2008 – 2010
Systems Analyst (Part-Time)
Ghousia Textile Mills
2003 – 2006

Research Interests

Research Impact

  • Publications: 47 
  • h-index: 7 
  • Funded Projects: 3 
  • MPhil Supervision: 30+

Publications (APA Style)

  • Ghous H. Mubasher M., Paul K,, Catchpool D. Visualising Leukaemia Cancer Dataset using Dimentionality Reduction Methods, Submitted Journal of statistical and simulations, Submitted (under review)

  • Malik, Mubasher ; Ghous, Hamid; Maryum, Bibi ; Faheem, Muhammad ; Umer, Qasim,  Feature Extraction-Based Liver Tumor Classification Using Machine Learning and Deep Learning Methods of Computed Tomography Images”, CAAI Transactions on Intelligence Technology (under review)

  • Q. Umer, J. -w. Li, M. R. Ashraf, R. N. Bashir and H. Ghous, “Ensemble Deep Learning Based Prediction of Fraudulent Cryptocurrency Transactions,” in IEEE Access, doi: 10.1109/ACCESS.2023.3310576.

  • Ghous, H. ., Malik, M., & Rehman, I. . (2023). Deep Learning based Market Basket Analysis using Association Rules. KIET Journal of Computing and Information Sciences6(2), 14-34.

  • Ghous H. Mubasher M., Rameela A. Maryem I., Computer-Aided Diagnosis of Neuroblastoma Cancer from CT images: A Comprehensive Review and Future Trends”, Pakistan Academy of Sciences, 

  • Mubasher H. Malik, Hamid Ghous, Salman Qadri, Syed Ali Nawaz, & Anam Anwar. (2023). Frequency-based Deep-Fake Video Detection using Deep Learning Methods. Journal of Computing & Biomedical Informatics4(02), 41–48. 

  • Mubasher H. Malik, Hamid Ghous, Iqra Ahsan, & Maryem Ismail. (2022). Saraiki Language Hybrid Stemmer Using Rule-Based and LSTM-Based Sequence-To-Sequence Model Approach. Innovative Computing Review2(2).

  • Ghous, H., Malik, M., & Ismail, M. (2023). Review on DeepFake Video Detection Techniques. Southern Journal of Research3(2), 33–41.

  • Rehman, I., Ghous, H., Malik, M., & Ismail, M. (2023). Artificial Intelligence based Lane Detection using Satellite Images . International Journal of Information Systems and Computer Technologies2(1).

  • Hamid Ghous, Mubasher H. Malik, Salman Qadri, Nazir Ahmad, & Shurgil-ur-Rehman. (2023). Detection of Fake Videos using Convolutional Generative Method . Journal of Computing & Biomedical Informatics4(02), 8–17. 

  • Ghous H. Mubasher M., Ayesha M., Stock Exchange price prediction using time series data: A Survey”, iRASD Journal of Economics,

  • Mubasher M., Ghous H.  Dania M., Abdul Mueed Z. “Unmanned Aerial Vehicles Safe Landing Site Detection Methods: A Survey”, Pakistan Journal of Engineering and Technology

  • Ghous, H., Malik, M., & Ismail, M. (2023). Review on DeepFake Video Detection Techniques. Southern Journal of Research3(2), 33–41.

  • Amjad, K., Malik, M., Ghous, H., Hussain, A., & Ismail, M. (2023). Thunderstorms Prediction Using Satellite Images. International Journal of Information Systems and Computer Technologies2(1).

  • Hamid Ghous, Malik, M. H., & Kinza Amjad. (2022). Structural Review on Plants Leaves Disease Classification Using Machine and Deep Learning Methods. Southern Journal of Research2(2), 122–146.

  • Ghous H. Mubasher M., Masuma K, A review on Brain Tumor Detection using Three dimensional MRI Scans, Journal of Applied and Emerging Sciences (BUITEMS)”, Submitted (under review)

  • Ghous H. Mubasher M., Ayesha M., Review of determining the location and the size of the tumor, Journal of Applied and Emerging Sciences (BUITEMS)”, Submitted (under review)

  • Ghous H., Kennedy P., Catchpoole D., Nicholas H. , “Comparing Functional Visualization of List of Genes using Singular value decomposition” in, JRPIT ,vol., 2013

  • Ghous H., Kennedy P., Catchpoole D., Nicholas H. , “Functional Visualization of Genes using SVD” in 11th AusDM|12 conference, Sydney, Australia,vol., Nov 2012

  • Ghous H., Kennedy P., Catchpoole D., Simoff  S. J. , “Comparing Functional Visualization of genes using Gene Ontology” in 5th Workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions, Athens, Greece, Sep 2011

  • Ghous H., Kennedy P., Catchpoole D., Simoff  S. J. , “Kernel based visualization of genes using Gene Ontology” in 7th AusDM|08 conference, Glenelg, Australia,vol.87, Nov 2008

  • Hamid Ghous, ” Visual analytics methods for discovering and evaluating functional relationships between genes for NSW pediatric cancer sufferers”, Australasian Data Mining Conference Doctoral Consortium 2008

  • Asfa Falak, Dr. Hamid Ghous, & Mubashir Malik. (2021). Twitter Spam Detection Using Machine Learning. International Journal of Scientific & Engineering Research, Volume 12, Issue 2, February-2021 (ISSN 2229-5518).

  • Amir Aziz, Dr. Hamid Ghous, (Jan-2021), Fraudulent Transactions Detection in Credit Card by using Data Mining Methods: A Review, IJSPR – Issue 179, Volume 79, Number 01, ISSN : 2349-4689 (Online)

  • Kausar, N., & Ghous, H. (2020). A Novel Framework for Classification of Cardiovascular Disease Using Local Linear Embedding as Feature Selection Method. LC International Journal of STEM (ISSN: 2708-7123), 1(3), 17-31.

  • Kausar, N., & Ghous, H. (2020). A Comparative Analysis On Cleveland And Statlog Heart Disease Datasets Using Data Mining Techniques. LC International Journal of STEM (ISSN: 2708-7123), 1(4), 24-43.

  • Tahreem Zahra, Dr Hamid Ghous, Iqra Hussain.SENTIMENT ANALYSIS OF TWITTER DATASET USING LLE AND  CLASSIFICATION METHODS.e-ISSN: 2582-5208 International Research Journal of  Modernization in Engineering  Technology and Science  Volume:03/Issue:01/January-2021  www.irjmets.com

Teaching & Supervision

Courses

  • Artificial Intelligence 
  • Image Processing 
  • Data Science 
  • Data Mining

Supervision:

  • MPhil Students Supervised: 30+ 
  • Areas: Deep Learning, Data Mining, Medical Imaging, NLP

Collaborations

Australian Scientific and Engineering Solutions (International Research Collaboration)

Professional Qualifications

  • MCAD – Microsoft Certified Application Developer 
  • SQL Server, C#, ASP.NET Certifications 
  • Expertise in Software Development & Database Design

IT Skills

  • Programming: Python, Java, C++, C#, VB.NET 
  • Data Tools: SAS, Hadoop, SQL, MySQL 
  • Scientific Tools: Matlab, Maple 
  • Other: LaTeX, Testing Tools, Web Services

Other Skills & Abilities

  • Leadership & Team Management 
  • Research Project Management 
  • Problem Solving & Analytical Thinking 
  • Strong Communication Skills 
  • Ability to handle large-scale projects

Contact