| No. | Date | Event |
|---|---|---|
| 1 | 4 Feb 2021 | Fundamental Of AI-Deep-Learning Applications to Medical Image Diagnosis Date: 4 Feb, 2021 Time: 9:00am – 10:00am Event Type: Forum Venue: Ms Teams Speaker: Prof Hiroshi Fujita Participants: 95  Today, it is the third artificial intelligence (AI) boom, and the medical field is no exception. In particular, the “deep learning” technology in AI, which is a type of “machine learning” method, in which computers learn by themselves (learning features and rules), has reached a level where the accuracy of image recognition exceeds that of humans. Computer-aided detection/diagnosis for medical images, so-called CAD, is rapidly entering the mainstream of practical medicine. It has already become a part of the routine clinical work especially for the detection/diagnosis of breast cancer with mammograms (breast imaging), in which the computer output is used as a "second opinion" in assisting physician’s image interpretation. Recent powerful AI technology including deep learning advances the development and improving performance of CAD to the next stage, sometimes called as AI-CAD. In this talk, the state-of-the-art of AI-CAD including COVID-19 image diagnosis and some issues to be solved are reviewed and discussed. |
| 2 | 8 April 2021 | Computational Digital Imaging and Quantitative Analysis: From Radiology to Pathology Date: 8 April, 2021 Time: 9:00am – 10:00am Event Type: Forum Venue: Ms Teams Speaker: Dr Ong Kok Haur Participants: 53  Computational digital imaging and quantitative analysis are an important part of converting image data into meaningful numbers, and it also means converting images into knowledge. In the field of healthcare, radiology and pathology are the most representative image diagnosis departments because the doctors need the information from the images to diagnose patients. In clinical practice, radiologists or histopathologists need to search the root cause of the patient’s disease in the images manually where this is a time-consuming and tedious process. In addition, due to the shortage of radiologists/pathologists, inefficient and subjective assessment methods will directly affect the patient's treatment plan. This has also gradually made computational digital imaging and quantitative analysis essential to help physician have quick assessment on patients’ condition. In the Institute of Molecular and Cell Biology (IMCB), we closely collaborate with clinicians to develop artificial intelligence detection model and perform the quantification to extract important pathological information for diagnosis and prognosis. In this talk, several research and service projects conducted in IMCB are briefly discussed. The talk is then proceeded by the introduction of the white matter lesions detection and quantitative analysis based on the MRI and AI-enhanced digital pathological image diagnosis platform. |
| 3 | 21 April 2021 | When Computer Vision Meets Deep Learning Date: 21 April, 2021 Time: 10:00am – 11:00am Event Type: Forum Venue: Ms Teams Speaker: Prof Chih-Yang Lin Participants: 65  Prof Chih-Yang Lin talks about the deep learning in computer vision. |
| 4 | 27 May 2021 | 1st Postgraduate Colloquium on Science, Technology, Engineering & Mathematics (STEM) 2021
Date: 27 May, 2021 Time: 8:30am – 6:30pm Event Type: Colloquium Venue: Ms Teams Speaker: Postgraduates Presentations Participants: 86  In this new millennium, science and technology bridge the communication of people globally with the purposes of adventuring into the unknowns and improving the quality of human life. This Postgraduate Colloquium 2021 is set to be a multidisciplinary research colloquium that draws quality research primarily from UTAR postgraduates on a wide variety of important scientific areas. Based on the theme "Towards Innovative Research in Science, Technology, Engineering and Mathematics (STEM)", this colloquium takes into awareness the vital knowledge provided by science, engineering and technology in the advancement of our race. Hence, this colloquium aims to serve as an academic platform for researchers to present their research findings in all aspects of STEM to encourage substantive knowledge transfer. Furthermore, UTAR undergraduate students are given an opportunity to have a better overview and understanding of the UTAR postgraduate programme, thus developing and strengthening a community of future scientists that will help to drive the advancement of science. TRACKS AND TOPICS: Track 1: Data Science and Big Data
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| 5 | 23 July 2021 | Introduction to 3D Printing and Its Application in Malaysia Date: 23 July, 2021 Time: 10:00am – 11:00am Event Type: Forum Venue: Ms Teams Speaker: Mr Victor Devadass Participants: 96  Additive manufacturing (AM), also known as 3D printing, started in Malaysia in 1996, when SIRIM, a statutory body then, became the technology recipient under the Off Set programme initiated by the government. This off-set programme was the result of the FA-18 purchase, by the government. SIRIM through this technology transfer, as able to set up a Rapid Prototyping facility, what is now known as 3D Printing facility, possibly the very first in Malaysia in 1996. Things have rapidly progressed from 1996 to 2020, where applications and the technology itself has evolved and the cost of these machines has dropped drastically, where even a hobbyist is able to own a machine. In this fast-growing, ever-changing industry, terminology evolves rapidly. The currently more popular term 3D printing is defined by the ASTM F42 committee as the fabrication of objects, layer upon layer, through the deposition of a material using a print head, nozzle, or other printer technology. However, the term is often used synonymously with additive manufacturing. In the 1980s, 3D printing techniques were considered suitable only for the production of functional or aesthetic prototypes, and a more appropriate term for it at the time was rapid prototyping. As of 2019, the precision, repeatability, and material range of 3D printing have increased to the point that some 3D printing processes are considered viable as an industrial-production technology. One of the key advantages of 3D printing is the ability to produce very complex shapes or geometries that would be otherwise impossible to construct by hand, including hollow parts or parts with internal truss structures to reduce weight. |
| 6 | 20 August 2021 | A Foundation of Trust Towards The Cyber Security Date: 20 August, 2021 Time: 10:00am – 11:00am Event Type: Forum Venue: Ms Teams Speaker: Dr. Chuah Chai Wen Participants: 74  Covid-19 pandemic broke out, it forced the globe moved online in which only the fit will survive and thrive. Governments issued an order to begin attending class remotely; restricted in-person business operation, encourage employees work from home; consumers move toward online channels, industries have responded in turn. The shift towards digital operations, thanks to Internet. And to be digitally fit, you need to be digitally trusted. In digital world, trust is a simple function, for instances, I trust the certificate authority, therefore, I believe that I connect to the real website securely. Trust is the basic foundation that must be established and yet it is a fundamental challenge indeed. You may refer to the security experts, hire security professionals, buy bulletproof technologies solutions, and still it may not keep you safe. The dark side of trust, is trust unconditionally. Therefore, trust as little as possible, use evidence and experience to measure trustworthiness. You know better, be untrusting!? |
| 7 | 4 September 2021 | Cyberspace Mental Wellness & Harnessing Science & Technology For Humanity Date: 4 September, 2021 Time: 10:00am – 11:30pm Event Type: Forum Venue: ZOOM Moderator: Dr. Aamir Amin Speaker: 1. Mr. Marek Boguszewicz 2. Dr. Christina Liang-Boguszewicz 3. Dr. Mobashar Rehman Participants: 35     Two experienced foreign experts and one of our UTAR FICT lecturers are sharing the topics as below: a. Cyber Security – Risk and Global Recommended Policy Framework b. Cyberspace Mental Wellbeing – How Do We Harnesss Science and Technology for Humanity c. Protecting Youth from Cyberbullying |
| 8 | 17 November 2021 | Introduction to Blockchain and Cryptocurrency and its Application Date: 17 November, 2021 Time: 4:00pm – 5:00pm Event Type: Forum Venue: Ms Teams Speaker: Mr. Go Yi Feng Participants: 250  Ever since Bitcoin, the first ever peer-to-peer, decentralized digital currency was created and released by the anonymous Satoshi Nakamoto in January 2009, it has brought to the public's attention at a global scale. In just a span of a decade, its market cap has grown into a whopping 1.175 trillion USD, pioneering and leading the entire cryptocurrency industry that is currently worth up to 2.745 trillion USD as of November 2021. Apart from its dominant value and influence in the financial and cryptocurrency industry, Bitcoin is better known for its revolutionary blockchain technology. Other than being a mere digital payment protocol, the blockchain industry has evolved into providing various utility purposes and deriving numerous decentralized applications (Dapps) with smart contracts ranging from decentralized finance (DeFi), non-fungible tokens (NFTs) to gamified finance (GameFi) and social finance (SocialFi) in the present timeline. |