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Cyber Security | Data Analyst | Machine Learning | Artificial Intelligence

MUHAMMAD ZAFRAN, PhD

About Me

m.zafran@utm.my

(255) 352-6259

I am a Senior Lecturer at the Faculty of Computing, Universiti Teknologi Malaysia. In addition to teaching, I conduct research on Machine Learning and Artificial Intelligence applications in Cyber Security. I also provide consulting services to industry professionals on Cyber Security-related matters.

Work Experience

2024 - Present

Research Fellow

UTM Big Data Centre, Ibnu Sina Institute

In this role, I am trusted with my data analytical skills to provide data analytics solutions to companies or train their staffs to equip them with data analysis skills.

2023 - present

Researcher

Information Assurance and Security Research Group (IASRG)

My current role as a researcher in this organisation is to conduct research focusing on Cyber Security. In addition, I also conduct consultation services to help improve the security posture of our client’s computing infrastructure. 

2023 - present

Senior Lecturer

Faculty of Computing, Universiti Teknologi Malaysia (UTM)

I was appointed as a lecturer at Faculty of Computing, Universiti Teknologi Malaysia (UTM) since November, 2023. I teach fundamental computer science courses such as Operating Systems and Computer Networking as well as more advanced course namely, Penetration Testing.

2018 - 2023

Doctor of Philosophy, Research in Data Stream Mining and Analytics

Faculty of Computing, Universiti Teknologi Malaysia

During my PhD journey, I conducted research in Data Stream mining, focusing on semi-supervised learning and concept drift adaptation. I published two Q1 journal publications and one international conference presentation.

Education

2018 - 2023

Doctor of Philosophy (Ph.D) Computer Science, UTM

Faculty of Computing, Universiti Teknologi Malaysia

Research in Data Stream Mining, thesis title “Prototype Regularized Manifold Regularization Approach for Semi-Supervised Online Sequential – Extreme Learning Machine with Concept Drift Adaptation” . Published two journal articles and presented a paper at one international conference. Graduated with Merit Award for excellent thesis.

2014 - 2018

Bachelors Of Science (B.Sc) Computer Networks and Security

Faculty of Computing, Universiti Teknologi Malaysia

Achieved CGPA of 3.84 (first class) with Dean’s List honors.

Skills & Expertise

Cyber Security

Penetration Testing.

Cyber Threat Intelligence.

Security Operations Centre (SOC).

Machine Learning

Data Stream Mining.

Causal Analysis.

Interpretable Machine Learning

Deep Learning

Natural Language Processing (NLP).

Computer Vision.

Graph Neural Network (GNN).

Data Analysis

Clustering.

Trend Analysis.

Time Series Forecasting.

Bayesian Data Analysis.

Data Visualization

Power BI.

Seaborn, Matplotlib.

Projects

IJN Project

A project that involves integrating Artificial Intelligence into heart rate monitoring systems to improve the early detection rate of heart disease and diagnostics. This project is funded by the National Heart Institute (IJN).

NFCC Anti Financial Crime Project

The goal of this project is to conduct training of NFCC personnel on the threats of money laundering in Malaysia. In the next phase, this project will conduct research on how Machine Learning and Artficial Intelligence can be applied for Financial Fraud detection.

Organizations I’ve Worked With

Email

m.zafran@utm.my

Phone

(07) 553 2001

Johor Bahru, Malaysia

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