Dr. Bui Trung Thanh

Period of study at AIT

From 8/2003 to 5/2005, Master of Engineering in Mechatronics, Asian Institute of Technology. Advisor: Prof. Manukid Parnichkun.

From 1/2006 to 12/2008, Doctor of Engineering in Mechatronics, Asian Institute of Technology. Advisor: Prof. Manukid Parnichkun.

Current Job

Position: President of Hung Yen University of Technology and Education (UTEHY), Vietnam since April 2019 to current.

UTEHY is one of the national technical universities with high quality application-oriented training to meet the increasingly diverse needs of society in terms of labor resources. The University is tasked with training PhDs, masters, bachelors of science (engineers), bachelors of arts (BA) and technical teachers, with key research directions on Automation Technology, Mechatronics Technology, Manufacturing Technology, Automotive Engineering Technology, Material Technology (Nano), Biotechnology, and Information Technology

How does your experience at AIT benefit your current job?

I received scholarship from MOET-Vietnam to pursuit my both master and doctor degrees at AIT since 2003. After receiving my doctor degree in mechatronics in 2008, I came back to work for my current University. I start my job as a lecturer, senior lecturer, vice dean and dean of the department of mechanical engineering. In 2017, I was promoted as Chair of Governing Board of the University and in 2019, I was appointed as President of the University. I hold this position up to now. My University grows up from about 8.000 students in 2019 to more 10.000 students at the moment.

I am lucky to be student of AIT. It was my greatest time of preparing things for my future jobs. I learned not only knowledge but also skills for adapting to the changing world.

Message to the current and prospective ISE students

ISE has good learning and research environments with many well-known professors. When you are accepted to be ISE student, I must say congratulation to you for your important achievement.

MSIE4.0

MSIE-CBHE is an Erasmus+ Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE4.0) funded by the European Commission. The project team is formed from a collaborative partnership among 9 universities, three from Europe and 6 from Thailand, who believe strongly in the power of education and innovation to transform lives.

Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE4.0) has been selected for EU co-funding for Erasmus+ Capacity Building in Higher Education. MSIE4.0 is one of 149 selected from 756 eligible applications. MSIE4.0 is a three-year project worth approximately 980,000 Euro. It is a joint capacity building project between six universities in Thailand and three EU partner universities.

The overall aim is to enhance the capacity and ability of universities in Thailand for the delivery of a high quality competence-based curriculum for Master’s degree in industrial engineering that supports sustainable smart industry (Industry 4.0), conforms to European Qualifications Framework (EQF) and is applicable to EU partner universities.

In order to achieve the goals, MSIE4.0 will be specifically focused on

1. Modernization of the education of industrial engineering discipline in Thailand by the development of a curriculum for Master’s degree in industrial engineering to support sustainable smart industry,

2. Development of courses, learning and teaching tools, delivery processes and platform for student-centered learning of the curriculum,

3. Implementation of modern ICT tools and methodologies for effective student-centered learning of the curriculum,

4. Introductions of quality assurance and of the EQF approach for the delivery of the curriculum meeting international accepted education requirements,

5. Establishment and continuation of partnerships among partner universities.

This project will deliver a modernized MSIE curriculum containing 15 new courses that will be developed for student-centred learning and equipped with teaching and learning materials. The course will also be prepared for online learning. Laboratory with remote access will be built to support student learning. More importantly, teaching and technical staffs will be trained by experts in the areas from EU partners.

Read More: https://msie4.ait.ac.th/

ReCap 4.0

ReCap 4.0 is an Erasmus+ joint capacity building project between five universities of Thailand and three EU partner universities that is proposed to enhance the capacity and ability of the non-university sector at the tertiary level in Thailand for the effective delivery of engineering and technology knowledge and skills related to Industry 4.0 to support Thailand Sustainable Smart Industry and to strengthen a partnership among participating European and Thai universities as well as benefited non-university sector.

Read More: http://recap4.ait.ac.th/

Special Seminars on Space Technology

A series of seminars on various aspects of Space Technology will be delivered by Dr. Shinichi Nakamura of Space Tracking and Communication Center at Japan Aerospace Exploration Agency (JAXA) Tsukuba Space Center on 23-24 May 2019 at Room 106, Chalermprakiat Building, Asian Institute of Technology.

Topic 1: Space Debris Issue

Date:   Thursday 23 May 2019

Time:   9:00-12:00

Topic 2: Applying Machine Learning to Satellite Operation

Date:  Thursday 23 May 2019

Time: 13:30-16:30

Topic 3: Satellite Operation and Physics

Date:    Friday 24 May 2019

Time:   9:00-12:00

Topic 4:Overview of Multi-GNSS environment and applications and

Topic 5: Probability and Statistics

Date:    Friday 24 May 2019

Time:   13:30-16:30

Venue for All Seminars: Room 106, Chalermprakiat Building, Asian Institute of Technology

ABSTRACT:

Topic 1: Space Debris Issue

Satellites in orbit around Earth are used in many areas and disciplines, including space science, Earth observation, meteorology, climate research, telecommunication, navigation and human space exploration. They offer a unique resource for collecting scientific data, which lead to unrivalled possibilities for research and exploitation, both scientific and commercial. However, in the past decades, with increasing space activities, a new and unexpected hazard has started to emerge, i.e., space debris.

Topic 2: Applying Machine Learning to Satellite Operation

The uncertainty of atmospheric density and ballistic coefficient degrades the accuracy of orbit prediction in Low Earth Orbit (LEO), and it is important and beneficial for satellite operators to improve or develop atmospheric density model. However, due to the complex phenomenon at thermosphere and exosphere, it might be difficult to develop new and accurate atmospheric models beyond other models such as Jacchia-Roberts model (1976) and MSISE00 model (2002) even though applying latest science.

Although there might exist difficulties to develop a theoretical and empirical model, we have useful data that have the potential to contribute to atmospheric density’s improvement. For example, space environment data from earth observation satellites, metrological satellite, and ground observation are available at JAXA.  In addition, we have our own satellites’ ephemeris, especially the orbit decay rate.

Topic 3: Satellite Operation and Physics

At high school, they have studied motion of satellites according to the Newtonian physics. Basically the picture which you image is OK. At high school, we treated purely ideal conditions, that is, gravity by the earth is point like, no atmosphere, ignore gravity from the Moon and the Sun etc.

Topic 4: Overview of Multi-GNSS environment and applications

Multi-GNSS (Global Navigation Satellite System) Era has come. A lot of GNSS were observed especially low latitude countries. There will be a summarization on recent situation of GNSS, such as GPS (USA), GLONASS (Russia), GALILEO (EU), BeiDou(China), IRNSS (India) and QZSS(Japan).

Topic 5: Probability and Statistics

Through his experience, after graduating university, probability and statistics are most important technique in mathematics. In the seminar, he will bring many examples to explain probability and statics.

Brief Bio Data:

Dr. Shinichi Nakamura, Ph.D. graduated from Tokyo Institute of Technology, is a manager in Space Tracking and Communication Center at Japan Aerospace Exploration Agency, Tsukuba Space Center. He specializes in flight dynamics and mathematical analysis area, GNSS technology in aerospace field and in Remote Sensing system design.

His research areas include: Satellite mission analysis and earth science, Flight dynamics and mathematical analysis, Positioning and fundamental technology on GNSS and Space debris issue.

Lecture Notes:

https://drive.google.com/drive/folders/1gkPrU9TFnv3u8afOX8uZ4SQcgACi5MSc?usp=sharing

AIT Distinguished Teaching and Research Leader Awards 2019

Three faculty from School of Engineering and Technology are recipients of this year’s AIT Distinguished Teaching Award and Researcher Award.

Prof. Mukand S. Babel is the recipient of ‘AIT Distinguished Teaching Award 2019’ in the category of 15 or less students. The teaching awards are based on student evaluation and feedback of courses taught in 2018. Prof. Babel is also the recipient of AIT Distinguished Research Leader Award in 2016. The Scopus database shows that Prof. Babel has h-index of 25 with 129 publications and 2147 citations.

Dr. Sangam Shrestha is the recipient of the ‘AIT Distinguished Research Leader Award 2019’. The researcher awards are based on the evaluation of faculty members’ sponsored activities and publications during the year 2018. Dr. Sangam is also the recipient of AIT Distinguished Research Leader Award in 2015. The Scopus database shows that Dr. Sangam has h-index of 18 with 88 publications and 1609 citations.

Prof. Manukid Parnichkun is the recipient of ‘AIT Distinguished Teaching Award 2019’ in the category of 15 or more students.

The selection committee was composed of the VPAA (Chair), Dean/SERD, Dean/SET and Dean/SOM.

The awards will be presented during the upcoming 17 May 2019 graduation ceremony.

Referred here:https://set.ait.ac.th/ait-distinguished-teaching-and-research-leader-awards-2019/?fbclid=IwAR1wNs5DO9Yh7gm43OIhtmVyWePjbnBJt-uauuRAsvt13ddPfDCgW52z6D4

ISE Student Research Conference 2019

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This conference aims to provide juniors, who are about to start working on research, to learn from the great achievements of seniors. ISE graduates with excellent research outcomes will present their research works and share also their valuable research experience.

Program for ISE Student Conference

The graduates will present briefly their Thesis topics on Thursday 16 May, 2019 at 14.00 at room ISE 106.

The presentation program is as follows:
14.00 General guidelines and procedures by Dr Mongkol Ekpanyapong
14:10-14:30 Mr. Dhanika Thimal Ratnayake

Title: Development and Control of a Mobile Double Inverted Pendulum
Advisor: Prof. Manukid Parnichkun

14:30-14:45 Mr. Shiva Paudel

Title: Sensorless Omnidirectional Force Control of Mecanum Wheeled Mobile
Robot and Sensorless Wheel Misalignment Detection of Normal Wheeled Mobile
Robot
Advisor: Dr. Harsha Abeykoon

14:45-15:00 Mr. Akash Deep

Title: FMEA Improvement by Clue Based “Failure Mode Identification”
Advisor: Dr. Pisut Koomsap
15:00-15:15 Mr. Ashish Devkota

Title: Supply Chain Network Design under Distribution Center Disruption
Advisor: Dr. H.T. Luong

15:15-15:30 Mr. Merennage Francis Susith Salgado Wijesekera Goonaratne

Title: Using a Combination of Option and Quantity Flexibility Contracts to Deal
with Supply Disruptions
Advisor: Dr. H.T. Luong
15:30-15:45 Mr. Sakkarin Ngiuwichit

Title: Job Shop Rescheduling with Rush Order Arrivals
Advisor: Dr. H.T. Luong
15:45-16:00 Ms. Meiling Li

Title: Preparation and Characterization of Polyacrylic/Silica Nanocomposite by
Soap-Free Emulsion Polymerization Method
Advisor: Dr. Tanujjal Bora
16:00-16:15 Mr. Shuang Liang

Title: Preparation of Superhydrophobic and Anti-Corrosion Coating on Steel by
One-Step Electrodeposition
Advisor: Tanujjal Bora
16:15-16:30 Mr. Natthasit Wongsirikul

Title: Convolutional Neural Network-Based Object Detection Model
Compression for Efficient Inference on Embedded System
Advisor: Dr. Mongkol Ekpanyapong
16:30 Conclusion/remarks and certificate awards.

2019 Student Conference

We are pleased to invite all to the “ISE Student Conference 2019”, which take place on this Thursday at ISE bldg.

This conference aims to provide juniors, who are about to start working on research, to learn from the great achievements of seniors. ISE graduates with excellent research outcomes will present their research works and share also their valuable research experience.

Wish to see you all this Thursday!😉

Registration Link: https://docs.google.com/forms/d/e/1FAIpQLSdTddJ8ZJh1nNoBh_4tQHVdr2TBHRH5zDP3XgKE–4hhddA4Q/viewform?usp=pp_url
Get a copy for the program here: https://drive.google.com/file/d/0B1YAWFkRTMntbVo5OVhSVllsSk1LbVkwTTN1Zk44bHJ3a2x3/view?usp=sharing