A
PROFILE
Laman Web Staf UPM
DR. NG KENG YAP
PENSYARAH KANAN
FAKULTI SAINS KOMPUTER DAN TEKNOLOGI MAKLUMAT
kengyap@upm.edu.my
Laman Web UPM
PROFILE
kengyap
BM
EN

PROFESIONAL

NAMA :
(Dr.) NG KENG YAP
JAWATAN :
PENSYARAH KANAN
PTJ :
FAKULTI SAINS KOMPUTER DAN TEKNOLOGI MAKLUMAT

BIDANG PENYELIAAN
INFORMATION SYSTEMS / INTELLIGENT SYSTEMS / SOFTWARE ENGINEERING / DATA SCIENCE
PENDIDIKAN
PHD
UNIVERSITY OF MANCHESTER
Graduated : 2015
MASTER SAINS KOMPUTER
UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR
Graduated : 2006
TEKNOLOGIS PROFESIONAL PT21010026
LEMBAGA TEKNOLOGIS MALAYSIA
Graduated : 2021
BACELOR SAINS KOMPUTER
UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR
Graduated : 2001
PENERBITAN JOURNAL
1. Adjusted Exponential Scaling: An Innovative Approach for Combining Diverse Multiclass Classifications
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
2. PUTRACOM: A Formalism of a Novel Component Model
    Journal type: Citation-Indexed - Scopus
3. A Preliminary Component Model for IoT
    Journal type: Citation-Indexed - Scopus
4. A Systematic Mapping of Quality Models for AI Systems, Software and Components
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
LATARBELAKANG PENDIDIKAN
Bacelor Sains Komputer, UPM
Master Sains, UPM (Metrik Perisian)
PhD, University of Manchester (Kejuruteraan Perisian Berasaskan Komponen)
KEMAHIRAN
Pengaturcaraan Java
Unix (Linux, BSD)
Pembangunan Aplikasi Android
Pembangunan Aplikasi Web (JSP, PHP, ASP)
MySQL
Penulisan Pelan Perniagaan
IBM Mobile Worklight
ASP.NET
Vintage Model
VBA Macro
PENGAJARAN
Analisis dan Reka-bentuk Perisian Berasaskan Objek
Pengaturcaraan Komputer (Java)
Pengenalan Kepada Kejuruteraan Perisian
Teknologi Maklumat dan Aplikasinya
JAWATANKUASA
Jawatankuasa Kerja MySEC2015
MINAT PENYELIDIKAN
Software Engineering Berpacukan Model
Kejuruteraan Perisian Berasaskan Komponen
Metrik Perisian
Aplikasi Komputer dalam Penyelidikan Sains Social
PENERBITAN
2024
Issues in Chinese Requirements Specifications: Insights from Survey Data and Static Analysis
2024
Conditional Max-preserving Normalization: an Innovative Approach to Combining Diverse Classification Models
2022
A Systematic Mapping of Quality Models for AI Systems, Software and Components
2020
PUTRACOM: A Formalism of a Novel Component Model
2020
A Preliminary Component Model for IoT