Dr. Muhammad Zulqarnain
Assistant Professor
Department of Computer Science & IT — Faculty of Bio-Sciences
Biography
Dr. Muhammad Zulqarnain is an Assistant Professor at the Department of Computer Science and IT, Cholistan University of Veterinary & Animal Sciences (CUVAS), Bahawalpur. Before joining CUVAS, he taught as a Assistant Professor at The Islamia University of Bahawalpur (Bahawalnagar Campus), and earlier he served at Riphah International University (Faisalabad Campus) as an Assistant Professor. He graduated Doctor of Philosophy (Ph.D.) in Information Technology from University Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia, in 2021. His doctoral research focused on deep learning techniques and their applications in solving complex real-world computational problems. Prior to his Ph.D., he completed his Master of Science in Computer Science from The Islamia University of Bahawalpur (IUB), Pakistan, in 2014, after obtaining his Bachelor's degree in Computer Science from the same institution in 2012. His academic journey demonstrates a consistent dedication to excellence and continuous professional development. His research interests span a broad range of contemporary topics in computer science, including artificial intelligence, machine learning, deep learning, natural language processing, data mining, and time series prediction. His research contributions focus on developing advanced artificial intelligence techniques that improve prediction accuracy, automation, decision-making, and intelligent data analysis. He has an approved Ph.D and master's supervisor recognized by the Higher Education Commission of Pakistan. He has successfully supervised several PhD and master's students and published more than 35 articles in various reputable international journals. He regularly serves as a reviewer for several high-impact international journals and conferences, helping maintain academic quality and research integrity. Furthermore, he has served as a co-editor for a Springer conference proceeding, demonstrating his active participation in managing and disseminating scientific research. His professional service extends to participation in numerous international conferences, where he has served as a Technical Program Committee (TPC) member.
Research interests
Educational information
| Year | Degree | Board / University |
|---|---|---|
| 2021 | Ph.D. Information Technology | Universiti Tun Hussein Onn Malaysia (UTHM) |
| 2017 | Master of Science in Computer Science (MSCS) | National College Of Business Administration & Economics (NCBA&E) |
| 2014 | Master in Computer Science (MCS) | The Islamia University of Bahawalpur (IUB) |
Academic experience
| From | To | Post held | Organisation |
|---|---|---|---|
| April 2024 | Is Continue | Assistant Professor | Cholistan University of Veterinary & Animal Sciences |
| April 2022 | March 2024 | Assistant Professor | The Islamia University of Bahawalpur (IUB) |
| Sep 2021 | March 2022 | Assistant Professor | Riphah International University, Faisalabad Campus |
| Aug 2018 | Jan 2020 | Graduate Research Assistant | Universiti Tun Hussein Onn Malaysia (UTHM) |
Publications
- — Brain Tumor Detection from MRI Images Based on Deep Learning and Machine Learning Approaches, JOIV: International Journal on Informatics Visualization2026
- — An optimized EEG-based hybrid deep learning framework for schizophrenia detection, Biomedical Engineering Letters2025
- — An Optimized Hybrid Deep Learning Approach for Accurate Fruit Image Classification, JOIV: International Journal on Informatics Visualization2025
- — A Review on Network Intrusion detection systems based on Machine Learning, Deep Learning and Blockchain for IoT-based healthcare systems, VFAST Transactions on Software Engineering2025
- — An efficient two-state GRU based on feature attention mechanism for sentiment analysis, International Journal of Multimedia Tools and Applications2024
- — A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual Dataset, IEEE Access2024
- — A Novel Framework For Breast Cancer Scoring Based On Machine Learning Technique Using Immunohistochemistry Images, Computational Methods for Differential Equations2024
- — An Enhanced LSTM Model Based on Feature Attention Mechanism and Emotional Intelligence for Advanced Sentiment Analysis, International Journal of Advanced Computer Science & Applications2024
- — Text Classification Using Deep Learning Models: A Comparative Review, Cloud Computing and Data Science2024
- — Data pre-processing for cardiovascular disease classification:” A systematic literature review, International Journal of Intelligent & Fuzzy Systems2023
- — An improved gated recurrent unit based on auto-encoder for sentiment analysis, International Journal of Information Technology2023
- — Attention Aware Deep Learning Approaches for an Efficient Stress Classification Model, Brain Sciences,2022
- — Optimally Organized GRU-Deep Learning model with Chi2 Feature Selection for Heart Disease Prediction, Journal of Intelligent & Fuzzy Systems2022
- — Deep learning GRU model and Random Forest for screening out key attributes of Cardiovascular Disease, Lecture Notes in Network and System (LNNS)2022
- — A comparative analysis of the question classification task based on deep learning approaches, PeerJ Computer Science2021
- — An Enhanced Gated Recurrent Unit with Auto-Encoder for Solving Text Classification Problems, Arabian Journal for Science and Engineering (AJSE)2021
- — Hybrid Contractive Auto-encoder with Restricted Boltzmann Machine for Multiclass Classification, Arabian Journal for Science and Engineering (AJSE)2021
- — A Deep Two-State Gated Recurrent Unit for Particulate Matter (PM2.5) Concentration Forecasting, Computers, Materials & Continua (CMC)2021
- — Study on the Pakistan Stock Market using a New Stock Crisis Prediction Method, PLoS ONE2020
- — Text classification based on gated recurrent unit combines with support vector machine, International Journal of Electrical and Computer Engineering (IJECE)2020
- — A comparative review on deep learning models for text classification, Indonesian Journal of Electrical Engineering and Computer Science2020
- — An Efficient Method of Data Hiding for Digital Color Images Based on Variant Expansion and Modulus Function, Journal of Engineering Science and Technology (JESTEC)2020
- — Predicting Financial Prices of the Stock Market using Recurrent Convolutional Neural Networks, International Journal of Modern Education and Computer Science2020
- — An improved Deep Learning Approach based on Variant Two-State GRU and Word Embedding for Sentiment Classification, International Journal of Advanced Computer Science and Applications(IJACSA)2020
- — Auto-encoder variants for solving handwritten digits classification problem, International Journal of Fuzzy Logic and Intelligent Systems2020
- — The Effect of Electronic Word of Mouth Communication on Purchase Intention Moderated by Trust: A Case Online Consumer of Bahawalpur Pakistan, International Journal of Advanced Science and Technology2020
- — Efficient Processing of GRU Based on Word Embedding for Text Classification, International Journal Informatics Visualization2019
- — An Improved the Performance of GRU Model based on Batch Normalization for Sentence Classification, International Journal of Computer Science and Network Security2019
- — Neural Network Techniques for Time Series Prediction: A Review., JOIV: International Journal on Informatics Visualization2019
- — An Improved Pi-Sigma Neural Network with Error Feedback for Physical Time Series Prediction., International Journal of Advanced Trends in Computer Science and Engineering2019
- — Computing banhatti indices of hexagonal, honeycomb and derived networks, American Journal of Mathematical and Computer Modelling2018
- — An Innovative Cognitive Architecture for Humanoid Robot, International Journal of Advanced Computer Science and Applications2017
Conferences
| Year | Level | Country | City | Conference |
|---|---|---|---|---|
| 2024 | International | Singapore | Singapore City | International Conference on Artificial Intelligence and Networking |
| 2022 | National | Pakistan | Chiniot | International Conference on IT and Industrial Technologies |
| 2021 | International | Wolfenbüttel | Germany | 7th International Conference on Optimization and Applications (ICOA) |
| 2018 | International | Malaysia | Putrajaya | International Conference on Advances in Computing and Intelligent System |
Awards
| Year | Awarding organisation | Description |
|---|---|---|
| 2019 | Universiti Tun Hussein Onn Malaysia (UTHM) | WINNER of the Three Minute Thesis (3MT) competition at Universiti Tun Hussein Onn Malaysia held on 27th March 2019. |
Courses taught
| Code | Course title | Programme | Credit hours |
|---|---|---|---|
| CSIT-503 | Artificial Intelligence | Computer Science | — |
| CS-405 | Information Security | Computer Science | — |
| CSIT-506 | Compiler Construction | — | — |
| CSIT-502 | Information Security | Computer Science | — |
| CSIT-605 | Parallel and Distributed Computing | Computer Science | — |
| CS-402 | Computer Networks | Computer Science | — |
| — | Cyber Security | — | — |
| — | Basic of Computer Applications | — | — |
| CSIT-602 | Final Year Project-II | Computer Science | — |
| — | Final Year Project-I | Computer Science | — |
Supervisions
| Title | From | To | Type |
|---|---|---|---|
| Reinforcement Learning Driven Joint Optimization of User Experience and Performance in Modern Web Applications | Fall 2023 | To date | Ph.D. supervision |
| Securing Data Integrity in Healthcare IoT BasedSystem with Auto Encoder | Fall 2023 | To date | Ph.D. supervision |
| Security Threat Prediction at the Application Layer of IOT Devices by Using Machine Learning Techniques | 2022 | 2024 | M.Phil. supervision |
| Crime Detection and Reporting Through Computer Vision in Real Time | 2022 | 2024 | M.Phil. supervision |
| Text Summarization Using Natural Language Processing | 2022 | 2024 | M.Phil. supervision |
| Towards Identifying Tenuous Communities Using Machine Learning Techniques | 2022 | 2024 | M.Phil. supervision |
| Smart Attendance System | 2025 | 2026 | Project supervision |
| AI-Powered Smart Online Learning | 2025 | 2026 | Project supervision |
Research funding
| Year | Funding agency | Project | Amount (PKR) |
|---|---|---|---|
| 2019 | Research Management Centre, Universiti Tun Hussein Onn Malaysia (UTHM) | Natural Language Processing (NLP) | 9,66,630 |
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