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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper

talks

Introduction to Biosignal Processing and Classification Using AI/Deep Learning

Published:

Dr. Tarmizi Izzuddin and Dr.Norafizah Abbas, Mechatronic Engineering lecturers at FKE, UTeM, led a workshop on biosignal processing and classification using AI and deep learning. Designed for those with a foundation in signal processing and machine learning, the workshop provided participants with the skills to apply AI and deep learning techniques to biosignal classification.The workshop delved into real-world applications of biosignal classification, highlighting its importance in healthcare, sports, and other industries. Participants not only learned about the theoretical concepts but also gained practical experience through hands-on sessions.


AI at Edge Using NVIDIA Jetson

Published:

The workshop "AI at EDGE using Nvidia Jetson" delivered by Dr. Tarmizi Izzuddin focused on equipping participants with the skills to leverage the power of AI and deep learning on the NVIDIA Jetson Nano. The workshop covered essential topics such as setting up the development environment, understanding AI fundamentals, working with data, and developing a basic AI application. Additionally, participants explored advanced edge AI concepts, including object detection, segmentation, large language models, and vision language models, providing them with a comprehensive understanding of the potential applications and capabilities of AI at the edge. Participants include from various Malaysian universities namely, University Technology Malaysia (UTM), Universiti Malaysia Kelantan (UMK), Malaysia Multimedia University (MMU) and Universiti Teknikal Malaysia Melaka (UTeM)


AI Foundation Models and Its Applications: Unlocking The Potentials

Published:

Dr. Tarmizi Bin Ahmad Izzuddin delivered a captivating talk titled "AI Foundation Models and Its Applications: Unlocking The Potentials" at the Centre For Advance Analytics, Multimedia University (MMU) on November 20th, 2024. The talk delved into the fundamental concepts of foundation models, exploring their key characteristics, training methodologies, and diverse applications. Dr. Tarmizi shed light on the powerful technique of Self-Supervised Learning (SSL) and its significant role in natural language processing (NLP) and computer vision tasks. By highlighting the potential and limitations of SSL, the talk provided a comprehensive overview of the current state and future directions of foundation models in the field of artificial intelligence.


teaching

BEKC-3543 : Microprocessor

Workshop, Faculty of Electrical Technology and Engineering (FTKE), 2024

This course is about hardware and microprocessor handling, type of microprocessor systems, system handler and timing diagrams. The course covers the concept of mc68000 microprocessor software architecture, programming, assembly language and basic instruction, data transferring instruction, program control and subroutine, arithmetic and logic operations. It touches most on programming techniques, designing a microcomputer system, interfaces with memory and i/o devices. Students will experience pbl approach in this course where a po-pbl will be introduced to the student.


BELC-4873 : Artificial Intelligence

Undergraduate course, Faculty of Electrical Technology and Engineering (FTKE), 2024

Artificial Intelligence (AI) is a field of study concerns on allowing machines to imitate human's thinking or behaviour. By applying AI techniques, machines would be able to solve complex engineering problems such as predicting numbers of defect products in factory, optimizing a water tank system, classifying patients based on symptoms of a disease and etc. In this course students will be exposed to the popular subtopics in ai which includes machine learning, fuzzy logic, neural network and deep learning. Students will be exposed towards the concept of ai and its implementation methods in mechatronics/electrical engineering system using appropriate tools such as simulink/matlab, python, scikit-learn, tensorflow and other appropriate tools.