CCIS Talk: Globalization of Engineering Education: Our Experiences by Hsueh-Ming Hang

You are cordially invited to attend the following CCIS event:

Title: Globalization of Engineering Education: Our Experiences
Date: 12th August 2016 (Friday)
Time: 3:00 pm – 4:30 pm
Venue: N107, UTAR Kampar Campus, Perak
Speaker: Prof. Dr. Hsueh-Ming Hang, NCTU
Admission: Free

Abstract:
Modern engineering training must be international. There are several aspects in this statement. First, the modern engineering knowledge, skills and disciplines are universal. Second, the world is flat. The industry and market are facing global competition so are the engineers who are the key element of industry. Third, international collaborations in science and technology inspire innovation. Forth, international explore experiences enhance the mobility of students and faculty members. Therefore, the top universities have international partnership, overseas branch campus, and exchange student/faculty programs.
In this talk, we start with the statistics of the international students and scholars enrollment in USA. Then, we describe the international experiences of the Electrical and Computer Engineering College at NCTU. We will cover the exchange student and dual degree programs, the international graduate student degree program, the entrepreneurship program, massive open online course, and professional society participation. This talk should be two-way communication. We hope we can exchange the globalization concepts and experiences with audience. Our goal is “Educating Engineers as Global Citizens”.

Biography:

Hsueh-Ming Hang received the B.S. and M.S. degrees from National Chiao Tung University, Hsinchu, Taiwan, in 1978 and 1980, respectively, and Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute, Troy, NY, in 1984.
From 1984 to 1991, he was with AT&T Bell Laboratories, Holmdel, NJ, and then he joined the Electronics Engineering Department of National Chiao Tung University (NCTU), Hsinchu, Taiwan, in December 1991.
From 2006 to 2009, he took a leave from NCTU and was appointed as Dean of the EECS College at National Taipei University of Technology (NTUT). He is currently the Dean of the ECE College, NCTU.
He has been actively involved in the international MPEG standards since 1984. Dr. Hang holds 13 patents (Taiwan, US and Japan) and has published over 190 technical papers related to image compression, signal processing, and video codec architecture. He is a recipient of the IEEE Third Millennium Medal and is a Fellow of IEEE and IET and a member of Sigma Xi.

CCIS Talk: Image Retrieval using Deep Learning Techniques by Hsueh-Ming Hang

You are cordially invited to attend the following CCIS event:

Title: Image Retrieval using Deep Learning Techniques
Date: 12th August 2016 (Friday)
Time: 11:00 am – 12:30 pm
Venue: N007, UTAR Kampar Campus, Perak
Speaker: Prof. Dr. Hsueh-Ming Hang, NCTU
Admission: Free

Abstract:
Due to the rapid growth of image number, the content-based image retrieval for a large database becomes an essential tool in image processing. Although there are many published studies on this topic, it is still a challenge to do an advanced search, for example, retrieving a specific building using a view different from the photographing angles in the database. In addition, if the user can provide additional images for query, how do we combine the information provided by these multiple queries? In this study, we test two different types of image features designed for retrieval purpose. We adopt the Scale-Invariant Feature Transform (SIFT) feature as the low-level feature and the Convolutional Neural Network (CNN) feature as the high-level feature. Several levels of data fusion schemes are proposed. The first one is combining the features of the 6th layer features and the 7th layer features derived from CNN. The second one is combining the information provided by the SIFT features and the CNN features. The third one is combining the information provided by multiple queries. When appropriate, we try both early fusion concept and the late fusion concept. Our best proposed scheme can exceed most of the state-of-the-art retrieval methods for a single query. And the multi-query retrieval can further increase the retrieval accuracy.

Biography:

Hsueh-Ming Hang received the B.S. and M.S. degrees from National Chiao Tung University, Hsinchu, Taiwan, in 1978 and 1980, respectively, and Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute, Troy, NY, in 1984.
From 1984 to 1991, he was with AT&T Bell Laboratories, Holmdel, NJ, and then he joined the Electronics Engineering Department of National Chiao Tung University (NCTU), Hsinchu, Taiwan, in December 1991.
From 2006 to 2009, he took a leave from NCTU and was appointed as Dean of the EECS College at National Taipei University of Technology (NTUT). He is currently the Dean of the ECE College, NCTU.
He has been actively involved in the international MPEG standards since 1984. Dr. Hang holds 13 patents (Taiwan, US and Japan) and has published over 190 technical papers related to image compression, signal processing, and video codec architecture. He is a recipient of the IEEE Third Millennium Medal and is a Fellow of IEEE and IET and a member of Sigma Xi.

CCIS Talk: Software Development Process for Rapidly Changing Industry Environment by Kenny Khoo

You are cordially invited to attend the following CCIS Talk:

Date: 18 July 2016 (Monday)
Time: 5:00 pm – 6:00 pm
Venue: KB322, KB Block, UTAR Sungai Long Campus, Bandar Sungai Long, Selangor.

Title: Software Development Process for Rapidly Changing Industry Environment

Abstract:
The traditional software development metaphor may not be able to cope with today's rapidly changing industry environment. Thanks to the many open source and cloud computing platform, software development is now more flexible. With smart planning, it will help the team to achieve the targeted results on time. In this talk, the speaker will share the latest best practices and tools for software development team to cope and adapt to this industry's requirements.

Speaker: Kenny Khoo, Principal Engineer, Newbridge Wireless International Ltd

Biography:

Mr Kenny Khoo is currently the Principal Engineer of Newbridge Wireless International Ltd, taking charge of the product development team. His team's role is to identify new technology and to plan the strategic opportunities for wireless and IoT products.
Previously, he was the R&D Manager for Palette Multimedia Bhd and was instrumental in the research and design of the network access controller.
Kenny received his Bachelor's degree in Electronics and Master of Computer Science from UTM and UTAR, respectively. Among the professional certificates that he hold are Redhat Linux, Aruba wireless, and MongoDB database.

CCIS Talk: Software Engineering Practices in a Startup company by Edmund Hee

You are cordially invited to attend the following CCIS Talk:

Date: 27 June 2016 (Monday)
Time: 5:00 pm – 6:00 pm
Venue: KB322, KB Block, UTAR Sungai Long Campus, Bandar Sungai Long, Selangor.

Title: Software Engineering Practices in a Startup company

Abstract:
In this talk, the speaker will share the personal software engineering experience in a startup environment. He will also introduced the toolboxes that software engineers should be equipped with in this agile and dynamic working environment.

Speaker: Edmund Hee, Data and Server Developer, Watch Over Me

Biography:

After obtaining his B.Sc Software Engineering, Edmund joined Watch Over Me, a startup company focuses on mobile safety apps (www.watchovermeapp.com). He is currently working as a Data and Server Developer. His work includes data analysis and backend development.

CCIS Talk: Computer Vision: Complex Patterns? Meet Simple Answer by Alvin Siah

You are cordially invited to attend the following CCIS Talk:

Date: 2 Mar 2016 (Wednesday)
Time: 5:00 pm – 6:00 pm
Venue: KB316, UTAR Sungai Long Campus, Bandar Sungai Long, Selangor.

Title: Computer Vision: Complex Patterns? Meet Simple Answer

Abstract:
Deep Learning Neural Network had a profound impact on AI (Artificial Intelligence) research and enabled a vast array of new applications in vision, speech, and language.
In this talk, we share what deep networks are and why they work so well in computer vision. We shall elaborate the challenge of teaching a computer to see and understand.

Speaker: Alvin Siah, Software and R&D Manager, Recogine Technology

Biography:

Alvin Siah has many years of experience in data mining and machine vision at companies including Intel Technology, Convep Mobilogy, and Recogine Technology.
He graduated from UTAR with an B. Sc. and M. Eng in Computer Science. He had filed several trade secrets invention for manufacturing automation, resource optimisation planning and computer vision for visual inspection with Intel Assembly and Test Manufacturing.
Currently, he manages the software and research  & development at Recogine Technology, a lead in Malaysia ITS (Intelligent Transportation System) sector.
He is interested in all aspects of AI (Artificial Intelligence) technology and their applications.

CCIS Talk: Artificial Intelligence Usage in Retail Finance by Cheemun Foong

You are cordially invited to attend the following CCIS Talk:

Date: 24 Feb 2016 (Wednesday)
Time: 5:00 pm – 6:00 pm
Venue: KB316, UTAR Sungai Long Campus, Bandar Sungai Long, Selangor.

Title: Artificial Intelligence Usage in Retail Finance

Abstract:
The subject of Artificial Intelligence (AI) has been rigorously researched and hyped since the dawn of computing. However, its practical usage has been lacking for a few decades. For the last 10 years, the rise of cloud computing and the ubiquity of personal behavioral data breathed new life for AI applications.
This presentation will start with a general historical narrative of AI development and AI's current state. The second part of the presentation will talk about how AI is being used in Moneylion and also several other Financial Tech companies. Finally, we will discuss the dark premonitions of AI by several technology greats.

Speaker: Foong Cheemun, Co-founder and CTO, Moneylion 

Biography:

During his professional experience in Simulex, Cheemun worked on building agent-based models and simulations for the US Department of Defense branches and Fortune 500 companies.
His work includes converting economics, psychological and political science theories into mathematical and algorithmic models.
These models were used to build large scale simulations of real world social, political and economic systems. He turned to experimental computational models and databases such as Linda, Jini, Rio and subsequently the mainstay of Big Data such as Map Reduce and NOSQL databases to craft these highly demanding simulations.
Cheemun also architected and helped build the informational scavenging system that mines data from thousands of web sources around the world. The data was then turned into input to various models in his simulation systems.