Loading…

Dr. Muhammad Nauman

  • Home
  •  Profile Details
Profile pic of Dr. Muhammad Nauman

Dr. Muhammad Nauman

Lecturer
Ph.D

Research Supervision Capacity

PHD Completion Year
2021
Specialization
-

PHD Supervision Capacity
5
Current PhD Students
4
Currently PHD Consent
0
Current MS/M.Phil Students
0

About Me

Computer Science professional with a Ph.D. in Computer Science and over 16 years of combined experience in Academic Teaching, Research, and Software Engineering. My expertise includes big data systems and analytics, Apache Spark, Hadoop, MapReduce, SQL, Machine Learning, AI Agents, LLM and Cloud Platforms such as AWS and Google Cloud Platform. I have strong experience in architecting scalable web applications, database design and query optimization, and cloud infrastructure management. My research interests include Artificial Intelligence, Formal Methods and their application to reliable and Interpretable Intelligent Systems. I am committed to delivering knowledge, building impactful products, and enabling others through teaching and mentorship.

Contact Info

Email
nauman@iub.edu.pk
Mobile #
0313-4086188
Location
195/F Govt Cooperative Employee Housing Society Bahawalpur

Research Publication

1. Sidra Hameed, Muhammad Nauman, Nadeem Akhtar, MAB Fayyaz, R Nawaz. 2025. “Explainable AI-driven depression detection from social media using natural language processing and black box machine learning models.” Frontiers in Artificial Intelligence 8. https://doi.org/10.3389/frai.2025.1627078

2. Sidra Hameed, Muhammad Nauman, Muhammad Hasnain, Nadeem Akhtar, Fatima Hussain, Zeshan Afzal. 2025. “An Explainable Deep Learning Framework for Automated Classification of Ocular Diseases in a Big Data Environment.” VFAST Transactions on Software Engineering 13. https://doi.org/10.21015/vtse.v13i3.2228

3. Hafiz Muhammad Usman Akhtar, Muhammad Nauman, Nadeem Akhtar, Mustafa Hameed, Sidra Hameed, Muhammad Zeshan Tareen. 2025. “Mitigating Cyber Threats: Machine Learning and Explainable AI for Phishing Detection.” VFAST Transactions on Software Engineering 13. https://doi.org/10.21015/vtse.v13i2.2129

4. Muhammad Nauman, Ahmad S Almadhor, Mohammed Albekairi, Ali R Ansari, Muhammad AB Fayyaz, Raheel Nawaz. 2025. “The role of big data analytics in revolutionizing diabetes management and healthcare decision-making.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 10767. https://doi.org/10.1109/ACCESS.2025.3526456

5. Andressa C.M. da Silveira, Álvaro Sobrinho, Leandro Dias da Silva, Danilo F.S. Santos, Muhammad Nauman, Angelo Perkusich. 2025. “Harnessing coloured petri nets to enhance machine learning: A simulation-based method for healthcare and beyond.” Simulation Modelling Practice and Theory 1. https://doi.org/10.1016/j.simpat.2025.103080

6. Andressa C. M. Da Silveira, Alvaro Sobrinho, Leandro Dias da Silva, Muhammad Nauman, Danilo Santos, Angelo Perkusich. 2025. “Formal Analysis of Tree-Based Machine Learning Models Using Coloured Petri Nets.” IEEE Latin American Conference on Internet of Things 1. https://doi.org/10.1109/LCIoT64881.2025.11118555

7. Nadia Khan, Muhammad Nauman, Ahmad S Almadhor, Nadeem Akhtar, Abdullah Alghuried, Adi Alhudhaif. 2024. “Guaranteeing correctness in black-box machine learning: A fusion of explainable AI and formal methods for healthcare decision-making.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 90299. https://doi.org/10.1109/ACCESS.2024.3420415

8. Fatima Hussain, Muhammad Nauman, A Alghuried, A Alhudhaif, Nadeem Akhtar. 2023. “Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 127817. https://doi.org/10.1109/ACCESS.2023.3332030

9. M Nauman, HMU Akhtar, H Gorbani, M Hadi Ul Hassan, MAB Fayyaz. 2023. “Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection.” Frontiers in Big Data 8. https://doi.org/10.3389/fdata.2025.1688091

10. MUHAMMAD SABIR, DOST MUHAMMAD KHAN, FAISAL SHAHZAD, MUHAMMAD NAUMAN, ASAD ALI. 2022. “EXTREMISM CLASSIFICATION BASED ON TWITTER TEXT USING ENSEMBLE LEARNING.” Journal of Tianjin University Science and Technology 1. https://doi.org/10.17605/OSF.IO/7FW5Y

11. Muhammad Nauman and Nadeem Akhtar and Omar H. Alhazmi and Mustafa Hameed and Habib Ullah and Nadia Khan. 2021. “Improving the Correctness of Medical Diagnostics based on Machine Learning with Coloured Petri Nets.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 9. https://doi.org/10.1109/ACCESS.2021.3121092

12. Muhammad Nauman and Nadeem Akhtar and Adi Alhudhaif and Abdulrahman Alothaim. 2021. “Guaranteeing Correctness of Machine Learning Based Decision Making at Higher Educational Institutions.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 9. https://doi.org/10.1109/ACCESS.2021.3088901