Cyberjaya, July 9^th 2018 – Victory for UTM, winning 12 Prizes out of 16 categories in the Innovate Malaysia Design Competition 2018 where four teams were awarded Champion, two teams winning the 1^st place, four teams won the 2^nd runner up and another two teams grabbed the Consolation prizes. This year, the Best of the Best team is also won by UTM, and the team has been awarded the Innovate Malaysia Excellence Award 2018.

Innovate Malaysia Design Competition 2018 is a multi-disciplinary engineering design competition for undergraduates in Malaysia. It is co-organized by 8 technology leaders in the industry, supported by Ministry of Education (MOE), MaGIC and the Institution of Engineers, Malaysia. This has been the largest design competition in Malaysia over the years and a platform to groom and acquire engineering talents; to promote adoption of industry platforms in the universities. In short, this programme prepares the brightest talents in pursuit of careers in high-value jobs, further studies, or technology start-ups. The Innovate Malaysia Design Competition 2018 has received registration of 516 teams consisting of more than 900 students. Only 59 teams were selected as the finalist and from UTM, 12 teams were selected as the finalist.

The Technology Track Award is supported by Google, Intel, KEYSIGHT Technologies, MathWorks, Microsoft, SAS, SILTERRA, SOLIDWORKS and Celcom, Cyberview, Daikin, Exabytes, Telekom Malaysia, and WCS who contributed to the Design Challenge Award. Two special categories are Best Paper from Institute of Engineers Malaysia (IEM) and the Best Video award.

Malaysian Minister of Education YB Dr Maszlee Malik with the Best of the Best Excellence Award Recipients

The team spearheaded by Lim Ji Chen, Chin Linn Kern and Matthias Tiong Foh Thye focusing on problems in construction sites mainly on Workplace Safety and Security using Deep Learning Application, has won the Excellence Award (Best of the Best) and First Prize Award under Google Track. The team won RM4500 and a trip to Google Regional HQ in Singapore for a Machine Learning/AI Workshop. “We provide not only solution to construction industry but also focusing on better business model for them”, said Mr Lim Ji Chen the project leader who is also known as Jason. Jason Lim, Chin Lin Kern and Mattias Tiong have been working hard for the past several months.

“The team has won the heart and confidence of the two groups of judges through its innovative ecosystem of solution. They are able to make significant connection from every solution they provide”, said Assoc. Prof. Dr Ramesh K S @ Mohd Zaidi Abd Rozan, Director of UTM Centre for Student Innovation and Technology Entrepreneurship (UTM XCITE). Dr Zaidi and Dr Mohd Shahrizal Rusli are the supervisors for this project.

Best of the Best Excellence Award and Google Track Champion. Lim Ji Chen, Chin Linn Kern and Matthias Tiong Foh Thye from School of Electrical Engineering, Faculty of Engineering. Supervised by Assoc. Prof. Dr Ramesh K S @ Mohd Zaidi Abd Rozan (UTMXCITE/AHIBS) and Dr Mohd Shahrizal Bin Rusli (School of Electrical Engineering).

Winners of Innovate Malaysia 2018. UTM grabbed the most prizes in Innovate Malaysia 2018 with 12 prizes that include the Excellence Award (Best of the Best) in Innovate Malaysia 2018

Tan Pei Seng, Lee Chee Heng & Goh Wai Woon won three prizes; CyberView Design Award, IEM Best paper award and the 2^nd Runner Up under the Google Track Challenge with their project entitled “Development of “Joy”, a Service Robot with Social Interaction Capabilities”, supervised by Dr Yeong Che Fai (School of Electrical Engineering)

Solving aging population problems are the main goal for the “Joy” Service Robot. With Joy, the feeling of loneliness and depression would be reduced as Joy aims to be a companion for the elderly.

Winner of Celcom Design Challenge Award : TaBOT- AI Chatbot for Customer Service by Eric Khoo Jiun Hooi, supervised by Prof. Dr Naomie Salim and Dr Anazida Zainal from the School of Computing, UTM

TaBOT is a project to increase the satisfaction and loyalty of customers through Artificial Intelligence Chatbot and has won the Celcom Design Challenge Award. This project aims to engage and educate customers about the products and services provided by companies.

MathWorks Track 1st Runner Up with their project entitled Automatic Prescription Lens Calculator for Myopia using Machine Vision and Proximity Sensor. Team members are Liew Tian Chin and Albert Sia Kah Dak. The Project supervisor is Dr Amirjan Nawabjan (School of Electrical Engineering)

The purpose of the project is to develop a machine vision solution to perform simple and highly accurate eye examination for myopia patient. A conventional eye care services requires the person to be presence with an optometrist. With this device, a real-time method to estimate the level of myopia is developed. Patients could now perform their own myopia examination anywhere and anytime conveniently.

Microsoft Track 1st Runner Up with their project entitled Machine Learning on Fetal Distress during Pregnancy by Lee Kong Yong, Tew Ken Sam, Cheah Weng Soon and supervised by Dr Yeong Che Fai and Dr Eileen Su Lee Ming (School of Electrical Engineering)

The project title is Machine Learning on Fetal Distress during Pregnancy. “bbCare”, is a portable IoT device which can help a pregnant mother to monitor her the condition of her fetus during pregnancy. Fetal electrocardiogram (ECG) and electrohysterography (EHG) are collected and sent to a smartphone for signal processing and transform into cardiotocography (CTG), and then the extracted features of the CTG are sent to Azure Cloud for Machine Learning and online data storage. This project is also clinically advised by Dr. Woon Shu Yuan from Hospital Sultanah Aminah, Johor Bahru. The team members are Lee Kong Yong, Tew Ken Sam and Cheah Weng Soon from FKE. The team is supervised by Dr. Yeong Che Fai and Dr. Eileen Su Lee Ming.

SAS Track 2nd Runner Up: Robotics Diagnosis System Based on Big Data Analytics and Machine Learning. The team members comprised of Tay Yee Yang, The Zhi Huei, Chin Hung Vui and they were supervised by Dr. Yeong Che Fai (School of Electrical Engineering)

With the complexity level and increasing number of machinery in manufacturing plants, this has created monitoring problems. This project introduces four significant features that are visualization, fault diagnosis, optimization through Machine Learning and remote maintenance using Augmented Reality. This is a complete system for fully utilizing industry data and it can provide immediate feedback to the user.

Silterra Track 2nd Runner Up with Multiplierless DCT for Fast and Energy Efficient Image and Video Compression. The team members consist of Nurul Nazikha Ab Rahim, Raja Danish Iskandar Raja Kamal Azali and Dr. Ab Al-Hadi Ab Rahman (Supervisor)

Multiplierless DCT for Fast and Energy Efficient Image and Video Compression is a project with the aim of producing fast 2D – DCT using KSA with low power and efficient energy usage.

SolidWorks Track Consolation: The Rubbish River Collector by Asyraf Sharif Badar Sharif, Adam Maxwell Doumin, Farah Atiqah Ibrahim and Supervised by Dr Muhamad Noor Harun and Dr Muhammad Noor Afiq Witri Muhammad Yazid (School of Mechanical Engineering)

This project entitled The Rubbish River Collector aims to reduce the number of rubbish in the river utilizing SolidWorks.

Keysight Technologies Track Consolation Winner: Wireless Power Transfer System for Low Power Electronic Devices. The team members are Teoh Soo Yee, Lai Cong Yan, Cheng Wei Yeap. The Supervisors are Assoc. Prof. Tan Tian Swee (SBHS) and Leong Kah Meng (SBHS)

This project presents a development of a system which transfer power wirelessly, where it enables to charge low power electronic devices without the presence of a cable. This is made possible by using magnetic resonant coupling technique. This is safe for low frequency (700-850kHz) and suitable for low power electronic gadget & implantable medical device application

Summary of the prizes won by UTM teams

Congratulations to all the winners and UTM is proud of you!

Reported by Ramesh Zaidi Rozan

UTM XCITE