Profesor Madya Ts. Dr. Mohd. Hanafi Bin Ahmad Hijazi

Profesor Madya Ts. Dr. Mohd. Hanafi Bin Ahmad Hijazi

Fakulti Komputeran Dan Informatik, UMS

Profesor Madya Ts. Dr. Mohd. Hanafi Bin Ahmad Hijazi is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Data mining, prediction, image mining, sentiment analysis, medical image analysis .

As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Profesor Madya Ts. Dr. Mohd. Hanafi Bin Ahmad Hijazi holds Doktor Falsafah from Liverpool University, Liverpool,UK , among other qualifications, and has established themselves as a respected expert in their field.

Contact Information

Academic Department

Fakulti Komputeran Dan Informatik, UMS

Appointed Department

Fakulti Komputeran Dan Informatik, UMS

Education

Doktor Falsafah

Liverpool University, Liverpool,UK

2012

Sarjana Sains (sains Komputer)

Universiti Teknologi Malaysia (Skudai)

2005

Lain-lain

2005

Sarjana Muda Sains (komputer)

Universiti Teknologi Malaysia (KL)

2002

Research Collaborators

Research

Projects

44

Active

10

Grants

RM 7,078,065.00


Research Interests & Expertise

Information And Communication Technology (ict) - Deep Learning for Machine Learning

Information And Communication Technology (ict) - Natural Language Processing (Including Machine Translation, Sentiment Analysis, Text to Speech (TtS), Speech to Text (StT))

Information And Communication Technology (ict) - Digital Image Processing Algorithm and Techniques

Information And Communication Technology (ict) - Pattern and Image Recognition

Information And Communication Technology (ict) - Data Preparation and Exploration

Information And Communication Technology (ict) - Data Mining

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

87

H-Index

19

Citations

1,371

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

Development of an automated live-bird counter

Member

2025 - 2026

Pembangunan platform pendidikan, penilaian dan pemantauan esg (esg-eamp)

Member

2025 - 2026

Petronas advanced analytics framework for resource optimization (petro-afro framework): driving operational excellence through data science and artificial intelligence

Member

2024 - 2027

Formulating a spectrally adapted one-stage detection algorithm for assessing beef cattle health with pseudo-rgb and multispectral bands

Member

2024 - 2027

Integrated multi-hop transceiver scavenging system

Member

2024 - 2026

Open asia: boosting engagement of heis in open science in india and malaysia

Member

2024 - 2026

Improving outpatient monitoring for detected cases of covid-19 and case detection among high-risk individuals through ai-technology

Member

2022 - 2023

Public security threat detection model with sarcasm detection for bilingual sentiment analysis based on natural language processing features and modified deep learning

Leader

2022 - 2024

Water-quality remediation in ras and real-time monitoring of fish hatchery waste water

Member

2021 - 2026

Sumber semulajadi dan potensi pembagunan strategik ekonomi luar pantai malaysia: pulau layang-layang

Member

2020 - 2025

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 11 to 13 of 13 entries

11.

Mohd. Hanafi Bin Ahmad Hijazi (2023), A Comparison Of Different Support Vector Machine Kernels For Artificial Speech Detection

12.

Ching Fui Fui @ Faihana Ching Abdullah , Mohd. Hanafi Bin Ahmad Hijazi (2023), Automated Water Quality Monitoring And Regression-based Forecasting System For Aquaculture

13.

Farashazillah Binti Yahya , Mohd. Hanafi Bin Ahmad Hijazi , Florence Sia Fui Sze , Jamal Ahmad Dargham , Ali Farzamnia , Ervin Gubin Moung (2023), Covid-19 Classification Through Deep Learning Models With Three-channel Grayscale Ct Images


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