I'm a Lecturer at Universiti Teknologi Malaysia (UTM) passionate about education and fostering a love for software development. I'm constantly seeking opportunities to learn and contribute to the open-source community. Here's what I'm up to on GitHub:

• 🏆 Working towards becoming a top GitHub contributor in Malaysia.🇲🇾
• 👥 Committed to building a strong network within the developer community. Feel free to connect and share your ideas!.

Explore my projects below, and let's collaborate on something impactful! 😊

• 🆕 Research Design and Analysis in Data Science: A course that delves into the methodologies and analytical techniques in data science research.

• Big Data Management: Focuses on the principles and practices of managing large and complex datasets.

• High Performance Data Processing: Covers techniques and tools for processing data at high speeds for performance-critical applications.

• Special Topic in Data Engineering: An advanced course discussing specialized topics within the realm of data engineering.

• Software Engineering (WBL): A work-based learning approach to software engineering, integrating practical experience with theoretical knowledge.

• Web Programming - PHP: Teaches web development using PHP, covering both basic and advanced concepts.

• Programming Technique III: ASP.NET: A course on ASP.NET, focusing on building robust web applications using this framework.

• Extra-Curricular Experiential Learning: Provides opportunities for students to engage in learning experiences outside of the traditional academic curriculum.

• Value and Identity: Explores the concepts of personal values and identity within the context of societal norms and expectations.

• 🆕 UTHM - Higher Education Research Optimization for Index Publication (HERO 2024) This workshop serves as an introduction to artificial intelligence (AI) technology for writing high-quality articles. It will guide faculty members to write high-quality articles by integrating AI technology and thus gain the ability to prepare and perfect academic manuscripts using AI from the first draft stage to final publication.

• 🆕 Unlocking Scholarly Insights: How AI Enhances Literature Reviews refers to the transformative impact of artificial intelligence on the process of conducting literature reviews

• UniKL - Workshop Series on Systematic Literature Review (SLR) Using AI: A workshop series that introduces the use of AI tools in conducting systematic literature reviews.

• PGSS FC - GitHub for Research Students: From Code to Collaboration: A short course designed to teach research students how to use GitHub for collaborative projects.

• UTM CDex - A Workshop on ChatGPT and AI Tools: This workshop explores the capabilities of ChatGPT and other AI tools in the context of creative and academic applications.

• UTM - Penulisan Buku Karya Asli: A course on writing and publishing original works, with a focus on academic and research materials.

• UTM - Systematic Literature Review using AI: Offers insights into leveraging AI for conducting systematic literature reviews more efficiently.

  • Obsidian Vault for Systematic Literature Reviews in Computer Science
  • Systematic Literature Review
  • Obsidian.md for Academic Writing
  • AI tools

• Universitas Padjadjaran: AI for Innovation: A course that examines the role of AI in driving innovation across various sectors.

• UTM - Research Colloquium: Learn Github: Part of a research colloquium series, this session focuses on the use of GitHub in research settings.

• Obsidian vault for Systematic Literature Reviews in Computer Science: A curated collection of resources for conducting systematic literature reviews with a focus on computer science.

• Obsidian.md for Academic Writing: A guide to using Obsidian.md, a markdown-based knowledge base that works on top of a local folder of plain text Markdown files.

• Python for beginners: A beginner-friendly repository that provides tutorials and resources for learning Python programming.

• Web Scraping: This repository offers guidance and code examples for web scraping using Python.

• Exploratory Data Analysis (EDA): A repository dedicated to teaching exploratory data analysis techniques in Python.

• Big data processing: Focuses on processing large datasets using Python, with examples and best practices.

• Django: A repository for learning Django, the high-level Python web framework for rapid development.

• Dataset: Contains various datasets that can be used for data science projects and learning purposes.

• 🔥 Copywriting with ChatGPT: An e-book that explores the use of ChatGPT for copywriting, providing insights and techniques.

• 📘 AI tools: This e-book compiles a range of AI tools that can be utilized in various fields, including data science and machine learning.

• ✨ Systematic Literature Review: A comprehensive guide to conducting systematic literature reviews, with methodologies and examples.

• The Daily Life of a PhD Student: Offers insights into the routine and experiences of a PhD student, providing valuable tips for navigating academic research.

• Undergraduate projects: A repository dedicated to showcasing undergraduate research projects and their outcomes.

• Research Colloquium Series 1: Best practices for using the cloud in research: Discusses the optimal ways to leverage cloud technology for research purposes, enhancing efficiency and collaboration.

• Learn Github: A comprehensive guide for researchers to learn how to use GitHub for version control and collaboration on research projects.

• Research Material: Contains a collection of materials and resources that can support various aspects of academic research.