Universiti Pendidikan Sultan Idris (UPSI)

Ts. Dr. Nazre bin Abdul Rashid

Deputy Dean (Student Affair And Alumni)
Faculty of Computing and Meta-Technology (FKMT)

Dedicated academic and researcher specializing in Computer Systems, Brain Signal Processing (EEG), Computer Networking, and Technology Enhanced Learning.

Ts. Dr. Nazre bin Abdul Rashid

Lecturer (DS52)

Since 2011

About Me

I am currently serving as the Deputy Dean (Student Affair And Alumni) at the Faculty of Computing and Meta-Technology (FKMT), Universiti Pendidikan Sultan Idris (UPSI). As a Lecturer (DS52) under the Department of Computer Science and Digital Technology (S.K.T.D), I am passionate about nurturing the next generation of technologists and educators.

My academic journey has driven me to explore the intersections of computer systems, networking pedagogy, and the application of artificial intelligence in analyzing brain signals (EEG) and medical imagery. I actively contribute to research in educational technology, evaluating how different learning styles and personality traits interact with modern IT infrastructures.

Academic Background

Doctor of Philosophy (Ph.D.)

Electrical Engineering

Universiti Teknologi MARA (UiTM)

Master of Science

Computer Science

Universiti Putra Malaysia (UPM)

Bachelor of Science

Computer Science

Universiti Sains Malaysia (USM)

Expertise & Research Areas

A multidisciplinary approach bridging computer science theory, educational application, and advanced signal processing.

Computer Systems & Networking

Advanced computer networking pedagogy utilizing tools like CISCO Packet Tracer to enhance hands-on learning experiences.

EEG & Signal Processing

Analyzing human physiological signals, specifically brain waves (EEG), to determine learning styles, stress levels, and vigilance.

Technology in Education

Designing instructional strategies, improving teaching competency, and integrating ICT effectively in academic curriculums.

Artificial Intelligence

Applying AI techniques in data clustering, classification, and evaluating medical images for clinical benchmarking.

Selected Publications

Journal Article

Cisco Packet Tracer Simulation as Effective Pedagogy in Computer Networking Course

Authors: Nazre bin Abdul Rashid, Md. Zahar bin Othman, Rasyidi bin Johan, Salman Firdaus bin Hj. Sidek

Investigating the use of computer network simulation and visualization tools (CISCO Packet Tracer) to address the challenges in teaching TCP/IP network layering and IP configurations to university students.

Read Paper
Systematic Review

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images

Authors: Nazre Abdul Rashid (Co-author / Contributor)

Analysis of AI techniques in medical imagery in terms of evaluation and benchmarking, focusing on taxonomy analysis, challenges, and future solutions.

Conference / Article

Determination of Vigilance-bound Learning Style based on EEG

Authors: Nazre Abdul Rashid, Mohd Nasir Taib, Sahrim Lias, Ros Shilawani S Abdul Kadir

A study proposing reliable indicators to detect and analyze cognitive states and learning styles using human physiological signals via Electroencephalography (EEG).

Let's Connect

Whether you are a student seeking academic guidance, a researcher looking for collaboration, or an alumni of FKMT, feel free to reach out.

Email Address

nazre@meta.upsi.edu.my

Office Phone

05-450 6607 / 05-450 6690

Office Location

Bilik TDHEPA, Bangunan IT
Faculty of Computing and Meta-Technology (FKMT)
Universiti Pendidikan Sultan Idris (UPSI)

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