Sunday, July 5, 2015

CCIS Talk: Joys of Tech: Discovering Your Calling in a Tech Career by Leong Seh Hui

You are cordially invited to attend the following CCIS event:

Title: Joys of Tech: Discovering Your Calling in a Tech Career
Date: 13 July 2015 (Monday)
Time: 12PM - 1PM
Venue: KB106, UTAR Sg Long Campus, Bandar Sungai Long, Selangor.
For non-UTAR staff and students, please register yourself at the security booth, and inform them that you come for this event)
Speaker: Leong Seh Hui, MindValley
Registration: Free

Abstract:
It couldn’t be a more exciting time to be part of the tech industry right now: other than the usual staples of working in a corporate environment, you can now work on the web, mobile, embedded devices, games, interactive media…
So many options! But wait, you ask yourself, “where should I start?”.
In this talk, Seh Hui will be sharing his experience and perspective of the tech industry and how would you chart your career path. As a bonus, giving you hints in terms of tools and practices that you’d be interested to pick up and set yourself up for your own dream job.
It’s an exciting time to be working in technology after all :).

Biography:
Seh Hui is a programmer for ten years, currently specializing in developing API services and data solutions in Mindvalley.
Landed his first job with Genting after winning merit prize in E-Genting Programming Competition in 2004 and have since worked in both big corporations and start-up environments.
He is also a co-organizer, speaker and proud volunteer for several tech communities and meetups, such as LvlUp.KL (previously known as Webcamp KL) and Python User Group Malaysia.







Sunday, May 17, 2015

Research Assistant Opening in Data Science


Research Assistantship (RA) Opening in Data Science


Number of Vacancies: 3 to 4
Available at 
Lee Kong Chian Faculty of Engineering and Science,
Universiti Tunku Abdul Rahman (UTAR) City Campus,
Bandar Sungai Long, Selangor,
Malaysia
GPS: 3.120883, 101.785710

Project Leader

Dr. Tay Yong Haur (tayyh@utar.edu.my),
Department of Internet Engineering and Computer Science,
Lee Kong Chian Faculty of Engineering and Science (LKCFES),
Universiti Tunku Abdul Rahman (UTAR) City Campus,
Bandar Sungai Long, Selangor,.

Description

There are several research assistantship opening available at UTAR's Centre for Computing and Intelligent Systems (CCIS) for motivated candidates who are passionate in understanding and applying data science in various industrial applications, from forestry to transportation.

Scope of Work and Remuneration

  • To undertake a specific industry topic and solve the problems by applying techniques in data science, especially in deep learning technology.
  • To help the lead researchers in administrative matters to create a conductive environments for researchers.
  • Remuneration of RM1500-2500 per month for 12 to 18 months, depending on experience.

Requirements

  • Passionate in computer programming, esp. in Python and C/C++.
  • Have good mathematical foundations
  • Strong interest and/or has working experience in machine learning/artificial intelligence/computer vision/image processing projects.
  • Good English written and verbal communication
  • Good analytical skills
  • Self-motivated, requires minimal supervision, resourceful and willing to learn.

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.

Saturday, March 14, 2015

Research Assistant: Video Surveillance System with Demographics Classification


Research Assistant (RA):
Video Surveillance System with Demographics Classification


Number of Vacancies: 1
Available at
Centre for Computing and Intelligent Systems (CCIS),
Lee Kong Chian Faculty of Engineering and Science,
Universiti Tunku Abdul Rahman (UTAR) KL Campus*,
Jalan Genting Klang, 53300 Kuala Lumpur

Project Title

Video Surveillance System with Demographics Classification

Job Description

  • To develop software for video surveillance system with demographics classification.
  • To assist the project leader in all works associated with the research.
  • Opportunity to be involved in software prototype development of application involving computer vision, image processing and machine learning.
  • Gain exposure to cutting edge technologies- AI (deep learning), GPU, Open Source. 
  • The RA may register for Master's degree by research with UTAR.
  • Remuneration of RM2000-2500 per month for up to 12 months (can be extended up to another 12 months subject to satisfactory performance).

Requirements

  • Passionate in computer programming, with good mathematical foundations
  • Strong interest and/or has working experience in computer vision/image processing/machine learning projects.
  • Good English written and verbal communication
  • Good analytical skills, self-motivated, requires minimal supervision, resourceful and willing to learn.
  • Vacancy is available starting from 1 April 2015.

Interested Candidate

If you are interested in the position advertised above, please email your CV directly to:
Mr. Ng Choon Boon 

Only short-listed candidates will be called for interview.

*To be relocated to Sungai Long from May 2015 onwards.

Monday, March 2, 2015

CCIS Talk: Build Your Prototype for Free by Lim Wai Kheong

You are cordially invited to attend the following CCIS event:

Title: Build Your Prototype for Free
Date: 3 March 2015 (Tuesday)
Time: 11AM - 1PM
Venue: SE109, Lee Kong Chian Faculty of Engineering and Science, UTAR KL Campus, Jalan Genting Klang, Setapak, Kuala Lumpur.
(*For non-UTAR staff and students, please register yourself at the security booth, and inform them that you come for this event)
Speaker: Lim Wai Kheong, EFox Sdn. Bhd
Admission: Free

Abstract:
A walkthrough on creating a prototype using various tools, a LAMP stack, and some free resources such as Bitbucket, Trello and Openshift.

Biography:
Lim Wai Kheong is the project manager of Efox Sdn Bhd, a software development house with a strong focus in creating Management Information System (MIS) for Money Services Businesses (MSBs).











Monday, February 9, 2015

CCIS Talk: Keeping Singapore bright through sensor and data analytics by Koh Niak Wu

You are cordially invited to attend the following CCIS event:

Title: Keeping Singapore bright through sensor and data analytics
Date: 16 February 2015 (Monday)
Time: 4PM - 5PM
Venue: DK4, Lee Kong Chian Faculty of Engineering and Science, UTAR KL Campus, Jalan Genting Klang, Setapak, Kuala Lumpur.
(*For non-UTAR staff and students, please register yourself at the security booth, and inform them that you come for this event)
Speaker: Dr Koh Niak Wu, CEO, Cosmiqo International Pte Ltd.
Registration: Free

Abstract:
A city that is optimally lit results in many socio-economic benefits enjoyed by the urban population. This sharing session will touch upon what we do at Cosmiqo and some fun (at least in our definition) analytical solutions that we are building.

Biography:
Dr Koh Niak Wu specialises in supply chain analytics, strategy deployment and operations management innovation.
He is part of the team at Cosmiqo International Pte Ltd that drives change and now enjoys an 80 hour work week at his startup to avoid working 40 hour ones in his past lives.
With his cross-functional background, Niak Wu lives in a rather surreal world of convergence that has in its sensor-based systems. He believes in the power of analytics and how it shapes business decisions. Niak Wu also limits his fluid intake so he can stay at his desk longer.

This event is supported by:
IEEE SMC Malaysia chapter





Tuesday, January 20, 2015

CCIS Talk: Image Processing and Interactive Arts by Lee Byung Gook

You are cordially invited to attend the following CCIS event:

Title: Image Processing and Interactive Arts
Date: 23 January 2015 (Friday)
Time: 11AM - 12PM
Venue: SA 6th Floor West Wing Meeting Room, Lee Kong Chian Faculty of Engineering and Science, UTAR KL Campus, Jalan Genting Klang, Setapak, Kuala Lumpur.
(*Please register yourself at the security booth, and inform them that you come for this event)
Speaker: Professor Lee Byung Gook, Dongseo University, Korea
Registration: Free

Abstract:
Professor Lee Byung Gook will share his past, current and future researches which include: Image Sensor, Color Sensor, Flat Panel Display Defect Detection, Keypad Inspection System, Hand Tracking, Shadow Garden, Interactive Board – IR Pen & Laser Pointer,
u-Pointer, AR Toolkit, Shall we dance, Magic Projector, Multi Touch Table, reacTIVision, Mixed Reality Interfaces, DJ Mix with Kinect, Deform 2D Shape Manipulation, Multi Touch System with Kinect, Multi-Level AR, MiniCar with Arduino, MagicalSketchPad and LookEdu@AR

Biography:
Professor Lee Byung Gook received the B. S. degree in Mathematics from Yonsei University, Korea in 1987. He got his M. S. and PhD in Applied Mathematics from KAIST, Daejon, Korea in 1989 and 1993 respectively. He was a researcher in Computer Center of Korea Research Institute of Standards and Science from 1992 to 1993. Besides that, he worked in R&D Center, DACOM Corporation as a senior engineer in the division II Open Systems Lab.
Since 1995, he was the Associate Professor in Division of Systems Engineering. In 1999 to 2000, he went to University of Oslo, Norway for post-doctoral in the Department of Informatics under Professor Tom Lyche.
He is currently a Professor in Division of Computer & Information Engineering, Dongseo University and the Director of BK21 Institute of Ambient Intelligence.

This event is supported by:
IEEE SMC Malaysia chapter




Wednesday, December 10, 2014

Research Assistant: Tropical Wood Identification using Deep Learning


Research Assistant (RA):
Tropical Wood Identification using Deep Learning


Number of Vacancies: 1 or 2
Available at 
Lee Kong Chian Faculty of Engineering and Science,
Universiti Tunku Abdul Rahman (UTAR) KL Campus,
Jalan Genting Klang, 53300 Kuala Lumpur

Project Title

Tropical Wood Identification using Deep Learning

Project Leader

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

Objective

Identification of wood species based on its anatomy is critical to possibly trace the origin of the wood and hence reduce wood smuggling and illegal logging. Automated process in identification of wood species will create a vast applications from this capability.

In this research, we will look into applying deep learning and convolution neural networks, as the fundamental components in this wood identification system. We aim to devise a novel method to create a platform for applying machine learning in solving the very challenging and exciting research frontiers.

Scope of Work

  • To review the recent work in vision-based wood species identification
  • To devise and enhance deep learning model for textural feature extraction recognition
  • To assess the performance of the model
  • To create a proof-of-concept prototype of a wood species identification system

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 processing 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 Jan 2015.

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.
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