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Mr. Muhammad Zohaib Nawaz has done MS in Computer Science from NUST Islamabad, Pakistan. Before that, he completed BS in Computer Science with distinction (Gold Medal) from University of Sargodha, Pakistan. He is currently enrolled in PhD in Computer Science from Shenzhen University, PRC.

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Education

Year Degree Board / University
2020 Computer Science -- (Master/ MS (18 Years) Degree) NUST, Islamabad
2016 Computer Science -- (Bachelor (16 Years) Degree) University of Sargodha, Sargodha
2012 FSc (Pre-Engg) -- (Higher Secondary School Certificate / Intermediate/ A - level) Govt. College, UOS, Sargodha
2008 Matric -- (Secondary School Certificate / Matriculation / O - level) Progressive Public School, Sargodha
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Experience

From To Post Held Organization
2018 Continue Lecturer University of Sargodha
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Research Interests

Formal Methods
Machine Learning
Information Retrieval
Image Processing
Data Mining

Publications

    Research Journal


  • Nawaz, M. S., Fournier-Viger, P., Nawaz, M. Z., He, Y., & Yun, U. , 2025 , HUF4WP: A data-fusion framework leveraging high-utility patterns for renewable energy classification , Information Fusion , 126, IF: 15.5
  • Nawaz, A., Nawaz, M. Z., Lv, L., & Zhou, Y. , 2025 , Machine Learning Based Predictive Insights into Compressive Strength and Strength Retention of Magnesium Oxychloride Cement , Case Studies in Construction Materials , 23, IF: 6.6
  • Nawaz, M. Z., Nawaz, M. S., Fournier-Viger, P., Nawaz, S., Lin, J. C. W., & Tseng, V. S. , 2025 , Efficient genome sequence compression via the fusion of MDL-based heuristics , Information Fusion , 12, IF: 15.5
  • Nawaz, M. Z., Nawaz, M. S., Fournier‐Viger, P., & Selmaoui‐Folcher, N. , 2025 , GRIMP: A Genetic Algorithm for Compression‐Based Descriptive Pattern Mining , Expert Systems , 42, 5, IF: 2.3
  • Nawaz, M. S., Nawaz, M. Z., Junyi, Z., Fournier-Viger, P., & Qu, J. F. , 2024 , Exploiting the sequential nature of genomic data for improved analysis and identification , Computers in Biology and Medicine , 183, IF: 6.3
  • Nawaz, M. S., Nawaz, M. Z., Gong, Y., Fournier-Viger, P., & Diallo, A. B. , 2024 , In silico framework for genome analysis , Future Generation Computer Systems , 164, IF: 6.1
  • Nawaz, M. Z., Nawaz, M. S., Fournier-Viger, P., & He, Y. , 2024 , Analysis and Classification of Fake News Using Sequential Pattern Mining , Big Data Mining and Analytics , 7, 3, IF: 6.2
  • Nawaz, M. S., Nawaz, M. Z., Fournier-Viger, P., & Luna, J. M. , 2024 , Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology , Computers in Industry , 159, IF: 9.1
  • Nawaz, M. S., Fournier-Viger, P., Nawaz, M. Z., Chen, G., & Wu, Y. , 2022 , MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining , Computers & Security , 118, 1, IF: 5.6 , Web Link : https://doi.org/10.1016/j.cose.2022.102741
  • Nawaz, M. S., Nawaz, M. Z., Hasan, O., Fournier-Viger, P., & Sun, M , 2021 , An evolutionary/heuristic-based proof searching framework for interactive theorem prover , Applied Soft Computing , 104, 1, IF: 8.7 , Web Link : https://doi.org/10.1016/j.asoc.2021.107200
  • Nawaz, M. S., Nawaz, M. Z., Hasan, O., Fournier-Viger, P., & Sun, M. , 2020 , Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques , Applied Intelligence , 51, 1, IF: 5.3 , Web Link : https://doi.org/10.1007/s10489-020-01837-7
  • Ali, H., Lali, M. I., Nawaz, M. Z., Sharif, M., & Saleem, B. A. , 2017 , Symptom based automated detection of citrus diseases using color histogram and textural descriptors , Computers and Electronics in agriculture , 138, 1, IF: 8.3 , Web Link : https://doi.org/10.1016/j.compag.2017.04.008

    • Conference Proceeding


  • Nawaz, M. Z., Hasan, O., Nawaz, M. S., Fournier-Viger, P., & Sun, M (2020). Proof searching in HOL4 with genetic algorithm.. In 35th Annual ACM Symposium on Applied Computing (pp. 1- 10) . Association for Computing MachineryNew YorkNYUnited States.
  • Nawaz, M. S., Fournier-Viger, P., Nawaz, M. Z., Chen, G., & Wu, Y. (2021). Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 90- 103) . Springer, Cham.
  • Nawaz, M. Z., Nawaz, M. S., Fournier-Viger, P., & Tseng, V. S. (2024). An MDL-Based Genetic Algorithm for Genome Sequence Compression. In International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 6724- 6731) . IEEE.
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