A
PROFILE
UPM's Staff Profile
PROF. MADYA DR. RAZALI BIN YAAKOB
ASSOCIATE PROFESSOR
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
razaliy@upm.edu.my
UPM WEBSITE
PROFILE
razaliy
BM
EN
NAME:
(PROF. MADYA DR.) RAZALI BIN YAAKOB
POSITION:
ASSOCIATE PROFESSOR
ENTITY:
Faculty of Computer Science and Information Technology



FIELDS OF SUPERVISION
Computable Structures And Scientifics Computing / Computer And Embedded Systems Engineering / Data Science / Intelligent Systems
PUBLICATION
2025:
Optimality Versus Generality: Performance Assessment of Meta-Heuristics in Educational Timetabling
2025:
Artificial intelligence-powered tuberculosis detection with complementary domain attention model
2023:
Meta-heuristic approaches for the University Course Timetabling Problem
2023:
TBVA-GAN: A CLASS ACTIVATION MAPPING-GUIDED TUBERCULOSIS VISUAL ATTRIBUTION GENERATIVE ADVERSARIAL NETWORK
2021:
Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method
2020:
Review of the Research Landscape of Multi-criteria Evaluation and Bench- marking Processes for Many-objective Optimisation Methods: Coherent Taxonomy, Challenges and Recommended Solution
2019:
Ensemble deep learning for tuberculosis detection
2019:
Artificial Intelligence in Diagnosing Tuberculosis: A Review
2019:
Evaluating Genetic K-means Algorithm Based on Generalized Dunn Indexes for Data Clustering
2019:
Detection of pulmonary tuberculosis manifestation in chest X-rays using different convolutional neural network (CNN) models
2018:
A Review on Z-Numbers
2017:
A Framework for University Entry Selection using Neural Network
2015:
Advances in document clustering with evolutionary-based algorithms
2015:
Progressive Motion Border Image and Multi-Class SVM for Multi-View Human Activity Recognition
2015:
Burn Area Processing to Generate False Alarm Data for Hotspot Prediction Models
2014:
A Decision Tree Based on Spatial Relationships for Predicting Hotspots in Peatlands
2013:
Classification Model for Hotspot Occurrences Using Spatial Decision Tree Algorithm
2013:
Predictive Models for Hotspots Occurence Using Decision Tree Algorithms and Logistic Regression
2012:
Application of Classification Algorithms in Data Mining for Hotspots Occurence Prediction in Riau Province Indonesia