Mining Big Data: A How-to

In conjunction with the world-wide Big Data Week 2014, UTAR is proud to organize the following event:

Event: Mining Big Data: A How-to
Organizer: FICT, Universiti Tunku Abdul Rahman
Date: 8 May 2014
Time: 10:00AM to 5:00PM
Venue: UTAR Perak campus, Kampar, Perak. (GPS Location: 4.336734, 101.140720) (Free return bus UTAR KL <-> UTAR Perak is available)
Admission: Free, registration here
Details: here

Agenda:

Invited Talk #1: 

How to detect community in Social Networks by Hon Wai Leong, National University of Singapore

Workshop #1:

Hyperlinking video for large video collections by Chong-Wah Ngo, City University of Hong Kong

Workshop #2:

Mining Data Association by Shuai Cheng Li, City University of Hong Kong

Invited Talk #2:

Integrating Data Mining in Business Process by Venkat Narayanan, Singapore Management University and BigTapp Pte Ltd

Workshop #3:

Machine learning for Big Data Analysis by Cheng Wai Kheng, Universiti Tunku Abdul Rahman

UTAR Entrepreneurial Talk Series: Dr. Ngau Boon Keat, Dialog Berhad

Department of Consultancy & Commercialisation (DCC) is pleased to invite everyone to attend the "Entrepreneurial Talk Series" by Dr. Ngau Boon Keat, Executive Chairman of Dialog Berhad.

Details of the talk are as follows:

Date : 14 April 2014 (Monday)
Venue : Auditorium (A003), UTAR Perak Campus, Kampar.
Time : 10.30am to 12.30pm
Speaker : Dr. Ngau Boon Keat, Executive Chairman of Dialog Berhad.
Admission: Free

Speaker's Biography
Dr. Ngau Boon Kear is the Executive Chairman of Dialog Berhad, a company involved in the petroleum and petrochemical industry, both upstream and downstream. He co-founded the company in 1984 with four employees and grew it into a listed company in 1996.

He began his career in 1972 as a Refinery Engineer with Mobil Singapore Pte Ltd. He worded at PETRONAS from 1975 to 1980 where he held various positions from Production Engineer to Engineering Manager. He has more than 41 years of working experience in both upstream and downstream of the oil, gas and petrochemical industry.

He holds a Bachelor Degree (Hons) in Mechanical Engineering and an Honorary Doctorate in Engineering from the University of Canterbury, New Zealand. He is a member of the Institute of Engineers, Malaysia and the Institution of Engineers, Singapore. He is also a Registered Professional Engineer with the Board of Engineers, Malaysia.

Under Dr. Ngau's leadership, Dialog's business has diversified across the value chain, offering integrated specialist technical services. Dr Ngau was named the EY Entrepreneur Of The Year (EOY) 2013 Malaysia at gala event officiated by the Minister of Youth and Sports, YB Khairy Jamaluddin.

Dr. Ngau and his wife are also the founders of the MyKasih Foundation that provides food aid, training and student bursary programmes to families to help them break the cycle of poverty.

Admission is Free (UTAR students qualify for USSDC points)

For information and registration, please contact Vincent/Ronnie/Ching of DCC. Tel: 03-79582628, extension 8255 (Ronnie) or 7127 (Vincent/Ching). Further enquiries please mail to dcc@utar.edu.my

Research Assistant: Vision-based Human Activity Recognition using Deep Learning

Research Assistant (RA):
Vision-based Human Activity Recognition using Deep Learning

Number of Vacancies: 2

Available at 

Faculty of Engineering and Science,
Universiti Tunku Abdul Rahman (UTAR) KL Campus,
Jalan Genting Klang, 53300 Kuala Lumpur

Project Title

Vision-based Human Activity Recognition using Deep Learning

Project Leader

Dr. Tay Yong Haur (tayyh@utar.edu.my),
Department of Internet Engineering and Computer Science,
Faculty of Engineering and Science (FES), UTAR KL Campus.

Objective

Automated vision-based human activity recognition is one of the most active computer vision research topics. It has immense real-world applications, especially in security surveillance. Success implementation of this technology would lead to substantial improvement of public safety and security.

In this research, we will look into utilizing deep learning and convolution neural networks, and enhance it to model temporal information, as the fundamental components in this vision-based human recognition. We aim to devise a novel method to create a platform for applying machine learning in solving the very challenging vision-based human activity recognition.

Scope of Work

• To review the recent work in vision-based human activity recognition
• To devise and enhance deep learning model with temporal information
• To assess the performance of the model
• To create a proof-of-concept prototype of a human activity recognition applications

Job Description

• Remuneration of RM1500-2500 per month for 12 to 18 months, depending on experience.
• The RA must help the project leader in all works associated with the research.
• The RA must work closely with the sponsored industry partner to complete the research project.
• The RA may register for Master's degree by research or PhD program with UTAR.

Requirements

• Passionate in computer programming
• Have good mathematical foundations
• Strong interest and/or has working experience in machine learning/artificial intelligence/computer vision/image procession projects.
• Good English written and verbal communication
• Good analytical skills
• Self-motivated, requires minimal supervision, resourceful and willing to learn.
• Available to start working preferably on 1 May 2014.

Interested Candidate

If you are interested in the RA position advertised above, please email your CV directly to Dr. Tay Yong Haur (tayyh@utar.edu.my) as soon as possible. Feel free to write to Dr Tay for any further inquiry of the project.

Only short-listed candidates will be called for interview.

CCIS Industry Showcase: Video Analytics from MIMOS Berhad

CCIS Industry Showcase invites our industry partners to showcase their latest R&D technologies, to foster further collaboration between academic and industry.

Date: 3 April 2014 (Thursday) 

Time: 09:30AM – 12:30 PM
Venue: MIMOS Lab, SB Ground Floor, FES, Kuala Lumpur

In this industry showcase, we invite all undergraduate and graduating students, researchers and lecturers to this event, to interact with the researchers from MIMOS Berhad for possible collaborations:

• FYP Projects in video analytics; 
• Part-time research helpers; 
• Postgraduate Research in Video Analytics; 
• Research consultancy and collaboration with MIMOS-UTAR.

Activities:

• Introduction of video analytic technologies 
• Demonstration of video analytics technology of MIMOS 
• Introduction of MIMOS UTAR CoE 
• Research opportunities with MIMOS UTAR CoE

Who should attend?

• undergraduate students, 
• postgraduate students, 
• researchers, 
• academics