Dr. Chaklam Silpasuwanchai

Know our Researcher @ Asian Institute of Technology

Faculty Profile

Dr. Chaklam Silpasuwanchai

 Joined AIT in 2019, founded AIT Brain Lab, currently Assistant Professor in Computer Science and Information Management and Data Science and AI, School of Engineering, AIT

 Academic Program Coordinator, Computer Science, Asian Institute of Technology (AIT)

 Chair of the Sustainability Positioning Task Force at AIT

 Previously served in the Ethics Committee

 Co-founder, AI Brain Lab Co. Ltd.

QUALIFICATIONS & AWARDS

 Currently serving in the DPRC & Faculty Relations Committee

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1. Ph.D. in Computer Science at Center of Human Engaged Computing, Kochi University of Tech, Japan

2. Recipient of a KAKENHI Young Scientist grant, a Young Scientist grant by TRF, a National Science and Technology Development Agency Toray Science grant, a JST grant project, a NBTC grant project.

More information can be found here

Research

Brain Computer Interface Speller

 This project aims to develop a brain-computer interface-based speller that would benefit disabled users or elderly people.

 The primary purpose of this work is to develop the Thai language-based P300-BCI visual speller as an assistive technology option for disabled native Thai speakers.

An experiment of a checkerboard paradigm with a 8 x 9 matrix layout containing 44 Thai alphabets, 16 vowels and 7 numbers was conducted. Results show that RegLDA with xDAWN outperformed other models on P300 speller performance, achieving cross validation accuracy of 93% and online accuracy of 76%. AIT Brain Lab will continue this project by employing hybrid P300-SSVEP for further improvements in speed and accuracy.

Funded by PMU-B

Research

Non-intrusive glucose monitoring using Raman Spectroscopy

 Non-Invasive Blood Glucose Measuring Using Raman Spectroscopy represents a cutting-edge approach to diabetes management, offering a non-invasive and convenient method for monitoring blood glucose levels.

 By harnessing the principles of Raman spectroscopy, this technology enables the detection of glucose concentrations in the bloodstream through analysis of the chemical composition of fingernails. Raman spectroscopy works by shining laser light onto a sample and analyzing the scattered light to identify molecular vibrations unique to glucose molecules.

 This technique eliminates the need for painful finger pricks or invasive procedures, providing individuals with diabetes a hassle-free way to track their glucose levels. Moreover, the ability to measure glucose levels through fingernails offers greater accessibility and convenience, as it can be performed anytime, anywhere, without the need for specialized equipment.

Research

Industry

Liveness Detection

 In collaboration with Rsquare, our research lab is currently delving into the innovative realm of liveness detection.

 This project aims to enhance security measures by developing advanced techniques to discern between live human presence and synthetic or replicated representations, such as images or videos.

 By leveraging cutting-edge technologies and methodologies, we aspire to fortify authentication systems, ensuring robust protection against fraudulent activities in various domains, including biometrics, identity verification, and secure access control.

Detection of fake video

Detection of real video

Partner with Rsquare

Industry

Sale x CRM x Telemarketing

 Our research project is focused on the development of a sales x CRM (Customer Relationship Management) x Telemarketing system in collaboration with Thai Paiboon, a subsidiary of Thai Life Insurance.

 Combining the power of conversational AI with the expertise of Thai Paiboon in language solutions, our aim is to revolutionize the way businesses manage customer interactions and sales processes.

 The chatbot will serve as a virtual sales assistant, capable of understanding and responding to inquiries in the Thai language while seamlessly integrating with CRM systems. By leveraging natural language processing and machine learning algorithms, our chatbot will streamline sales workflows, automate routine tasks, and provide personalized recommendations, ultimately enhancing productivity and driving revenue growth for businesses operating in Thai-speaking markets. Partner with Thai Paiboon

Recent Initiative

AI and Simulation Lab, SET

 Establish an AI and Simulation Lab to support the faculty of the School of Engineering and Technology (SET) in their research.

 Initial investments from donors of around 8 million baht

 Demonstrations related to artificial intelligence, deep learning/machine learning, and computer simulation.

 This lab will serve as a hub for cutting-edge research, innovation, and interdisciplinary collaboration.

Donors:

• Global water & sanitation center, AIT

• AI center, AIT

- Contact SET if you are interested to be donor Coordinators:

• Dr. Chaklam Silpasuwanchai

• Dr. Sarawut Ninsawat

• Dr. Sanit Arunplod

• Dr. Mongkol Ekpanyapong

• SET Deans and Faculties

Recent Initiative

The Future Lab, AIT x BUPT

 On 26 April 2024, AIT and Beijing University of Posts and Telecommunications (BUPT) signed a MoU for the co-establishment of The Future Lab, AIT X BUPT, and inaugurated the new joint facility at AIT that was witnessed by senior diplomats of the Embassy of China in Thailand.

 BUPT is one of the top public universities in China in a number of technological fields, ranking high on global university tables in areas such as information and communication engineering, computer science and technology and electrical and electronic engineering.

 The Future Lab is intended to leverage the two institutions' capabilities in education and research in ICT, A.I., sustainability, and innovation, and address the challenges of achieving the SDGs.