CAIT FTSM

Contact Us

RESEARCH OFFICE

Level 2, Blok H
Fakulti Teknologi dan Sains Maklumat
Universiti Kebangsaan Malaysia
43600 UKM, Bangi Selangor, MALAYSIA

Tel : +6 03 8921 6089 / 6090 / 6177
Fax : +6 03 89216094 / 89256732

  • UKM
  • |
  • eWarga
  • |
  • FTSM
  •  
    Center For Artificial Intelligence Technology
    Generating Intellectual Property and Artificial Intelligence-based Products That Have High Added Value to be Commercialized.
  • Home
  • About Us
    • Background
    • Mission , Vision & Objective
    • Management
    • Head of Labs
    • Digital Info
      • Booklet
      • Brochure
  • Research
    • List of Expertise
      • Data Science
      • Knowledge Computing
      • Computational Vision & Mixed Reality
    • List of Lab
      • Asian Language Processing (ASLAN)
      • Data Mining & Optimization (DMO)
      • The Applied Ontology Semantic Search Lab (ONTOS)
      • Machine Learning & Vision (MLV)
      • Medical Computing (MC)
      • Mixed Reality & Pervasive (MyxLab)
      • Sentiment Analysis (SA)
    • Researchers
  • Publication
    • Books
    • Selected Journal
  • Achievement
  • Postgraduate
    • Proposal Defense
    • GOT Guidline
  • Activity
    • Workshop
    • Conference
      • MCAIT
        • 2021
        • 2018
  • Contact Us
Info

Machine Learning & Vision (MLV)


About Us

With the advancement of science and technology, many software applications, ranging from simple to complex, have been adapted for the real world, including business and scientific applications such as computer vision and surveillance systems. In the MLV lab, we research and explore computer programs containing intelligent software modules that are not constructed by conventional programming but are instead learned from user-supplied data or data that the program autonomously collects in real-time. This team consists of specialists in computer science, robotics, statistics, applied mathematical science, parallel, grid, cloud, quantum and numerical computing, graphics, and ICT in small and medium-sized businesses (SME). We concentrate on teaching computers abstractions, patterns, conditional probability distributions, and policies from data to enhance the performance of applications, such as recognition and prediction. In addition, the MLV lab focuses on the development of computing solutions requiring large numbers of processors, numerical and graphics techniques and algorithms, quantum computing technology, computer simulation, and the solution of problems involving heat transfer, communication, chemistry, fluid dynamics, and quantum computing via simulation. We also develop IT solutions for issues related to transportation, SME and manufacturing.

Location : H-4-Level 4

Members


Head of Lab MLV
Assoc. Prof. Dr. Mohammad Faidzul Nasrudin
Members
● Assoc. Prof. Dr. Abdul Hadi Abd Rahman
● Assoc. Prof. Dr. Azizi Abdullah
● Assoc. Prof. Dr. Mohammad Khatim Hasan
● Dr. Bahari Idrus
● Dr. Syaimak Abdul Shukor
Associate Members
● Assoc. Prof. Dr. Shahnorbanun Sahran
● Ts. Dr. Nor Samsiah Sani
● Dr. Kauthar Mohd Daud

RESEARCH FOCUS AND OUTPUT

Data Science Computer Vision:-

  • Pattern Recognition.
  • Image Processing.
  • Object Detection & Tracking.

Machine Learning:-

  • Supervised & Unsupervised Learning .
  • Reinforcement Learning.
  • Deep Learning.

Robotic:-

  • Navigation & Localisation.
  • Cloud.
  • IoT.
  • Multi-Agent.

Computational Intelligent Modelling:-

  • Parallel.
  • Numerical.
  • Quantum Computing.
  • IT in Manufacturing.

INDUSTRY/UNIVERSITY COLLABORATORS

● Universiti Teknologi Petronas
● Universiti Malaysia Sabah
● Universiti Pendidikan Sultan Idris
● IBM Malaysia
● Move Robotics Sdn. Bhd
● IdeaSparq Robotics
● Feng Chia University, Taiwan
● Ontario Tech University, Canada
● Universiti Malaysia Pahang
● National Institute of Occupational Safety and Health (NIOSH)
● Hospital Canselor Tuanku Muhriz (HCTM) UKM
● Institut Jantung Negara (IJN)
● Interxpose Communication
● UiTM
● Brno University of Technology, Czech Republic
● Persatuan Batik Negeri Terengganu
● Mindmatics Sdn. Bhd.

IP/RESOURCES/PROTOTYPES/ PRODUCT

● Rangka Kerja Analisis Kelestarian Minyak Sawit (AKMinS) – Copyright
● Validation of Key Performance Indicators (KPIs) Index for Environmental Sustainability Analysis System (SAS) Framework for Food Processing Industry – Edible Oils in Malaysia – Copyright.
● Reka Bentuk Meja Kuliah Berasaskan Konsep Co-Creation – Copyright.
● Sustainable Campus Integrated Information System Framework – Copyright.
● Rangka Kerja Proses Kerja Pembuatan PKS Pakaian Malaysia – Copyright.
● Delphi Questionnaire: Validation Of Indicators And Framework Of Sustainable Supply Chain Management Assessment – Copyright.
● Kerangka Kelestarian Pengurusan Rantaian Bekalan – Copyright.
● Rangka Kerja Aplikasi Mudah Alih Penilaian Bas – Copyright.
● Senibina Pemandu Pintar – Copyright.
● Borang Soal Selidik establishing an expert mapping system of vehicle health monitoring in road accident safety index system for express bus – Copyright.
● e-LIS (Electronic Logistics Information System –Copyright.
● Multimedia Symbolic Package to enhance Immunology education using Computer Algebra System – Copyright .
● Artificial Intelligence Robot Challenge (AiRC).
● ArUcoRSV
● DietScore
● KidDeMute
● WhatsBug
● Portal APJITM v2.0

ACHIEVEMENTS

● MIMOS Prestigious Award 2013 (Muhammad Zaini Ahmad)
● PERSAMA Article Award 2012 (Muhammad Zaini Ahmad)
● Best Paper award 2015 (ICEEI 2015- Zaihar Yaacob)
● Best Paper Award 2015 - 21st International Quality Function Deployment Conference, China
● Best Presentation Award 2021 - The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021)
● International Guest Lecture at Ontario Tech University, Canada (Online
● Adjunct Profesor at Faculty of Business and IT, Ontario Tech University.
● HIT UKM Vol. 67 April 2022, The Future of Mobile Robots Technology in Malaysia (https://www.ukm.my/pkk/ms/the-future-of-mobile-robots-technology-in-malaysia-2/)
● Ala Carte Pagi bersama-sama Universiti Kebangsaan Malaysia - UKM (https://bit.ly/3xo0xS8) ● Champion at Mavec'19 - Malaysia Autonomous Vehicle Challenge 2019
● Champion ARVIS@Hu manoid Robot Competition by Pusat Sains Negara, MOSTI
● Runner up at AIR Zenbo 2019 @Pusat Sains Negara

BOOKS

● Robot dan Kecerdasan Buatan Era Revolusi Industri 4.0 (shorturl.at/pqFKT)
● Ramalan Pintar Lokasi Suspek Jenayah Bersiri (https://bit.ly/3ddZmMP)

ALUMNI

1.Nama: Assoc. Prof. Ts. Dr. Muhammad Zaini Ahmad
Current workplace: Universiti Malaysia Perlis
Year of graduated, 2013

2.Name: Dr.Zaihar Yaacob
Current workplace: UNiKL
Year of graduated: 2020

3.Name: Dr. Ahmed Meri Kadhum
Current workplace:AlHussain University College IRAQ
Year of graduated: 2019

4.Name: Dr. Nurhafizah Moziyana Mohd Yusop
Current workplace: Universiti Pertahanan Nasional Malaysia
Year of graduated: 2016

5.Name: Dr. Nur Fazlina Iryani Abdul Hamid
Current workplace:TMNet
Year of graduated: 2017

6.Name: Dr. Mahmood Reza Khabbazi
Current workplace: KTH Royal Institute of Technology, Sweden
Year of graduated: 2014

7.Name: Dr. Noreliza Abu Mansor
Current workplace: Universiti Tenaga Nasional
Year of graduated: 2013

8.Name: Eliza Jasmin
Current workplace: Pejabat Tanah dan Galian Negeri Selangor
Year of graduated: 2018

9.Name: Shahizan Mazlan
Current workplace: Jabatan Pendidikan Daerah Melaka Tengah
Year of graduated: 2016

10.Name: Nor Ashikin Othman
Current workplace: IPG Kampus Perempuan Melayu Melaka
Year of graduated: 2016

11.Name: Ts Dr Rohana Zur
Current workplace: UiTM, Shah Alam.
Year of graduated: 2018

12.Name: Dr Feybi Ariani Goni
Current workplace: Brno University of Technology, Czech Republic
Year of graduated: 2017

13.Name: Ng Geok Khim
Current workplace: DXC Technology, Cyberjaya
Year of graduated: 2018

Disclaimer

Fakulti Teknologi dan Sains Maklumat, UKM is not liable for any loss or damage caused by the usage of any information obtained from this web site.

Security Policy

Data Protection

The latest technology includes data encryption to protect data and compliance to strict security standards are maintained to prevent unauthorized access.

Storage Security

All electronic storage and personal data transaction are protected and stored using appropriate security technology.

Privacy Policy

Your Privacy

This page explains our privacy policy which includes the use and protection of any information submitted by visitors. If you choose to make any transaction or send an e-mail which contains personal information, this information may be shared where necessary with other Government agencies so as to serve you in the most efficient and effective manner. An example might be in terms of resolving or addressing complaints that require escalation to other Government agencies.

Information Collected

No personal information will be gathered while you are using this website except for information given via e-mail.

What Happens When I Link to Another Site?

This web site contains links to other websites. This privacy policy applies only to our site and you should be aware that other sites linked by this web site may have different privacy policies and we highly recommend that you read and understand the privacy statements of each site.

Policy Amendments

If this privacy policy changes in any way, it will be updated on this page. Regularly reviewing this page ensures you are updated on the collected information, how it is used and under what circumstances, if any, it is shared with other parties.

FAQ

Q. Where is the location of the Dean's Office FTSM?

FTSM Dean's Office is located at Level 1, Block G, FTSM. For location FTSM click here

Q. What FTSM administrative office opening hours?

Administrative office open weekdays from 8 am until 5 pm

Q. How do I know my admission application status as postgraduate students (Masters and PhD)?

Application status can be checked in the School of Graduate Studies. For more information click here

Q. What are the courses offered by FTSM?

Now, FTSM UKM offers various kinds of courses for Undergraduates, Graduates and Doctor of Philosophy. For more information click here

Q. Who can be contacted if I wish to deal with the FTSM?

Dean's Office (Pejabat Dekan) FTSM
Universiti Kebangsaan Malaysia
43600 UKM, Bangi, Selangor Darul Ehsan

Tel : +6 03 8921 6141 / 6172
Fax : +6 03 8925 6732

Center for Artificial Intelligence Technology,
Block H,
Faculty of Information Science & Technology,
Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, MALAYSIA

Research Center Office : +6 03- 8921 6086/6082
Fax : +6 03 - 8925 6732

    Admission Master of Data Science (Master Program by Module):
    Tel: +6 03 - 8921 6176
    Email: sarjanakhas.ftsm@ukm.edu.my


    Copyright © 2022 FTSM,
    Universiti Kebangsaan Malaysia
    Last Update: May 2022

News Details