Mr Raju Chellam
Mr Raju Chellam is a Fellow of Advanced Computing for Executives (ACE) at the NUS School of Computing. He is the Chief Editor of the AI E&G BoK (AI Ethics & Governance Body of Knowledge), an initiative by the SCS (Singapore Computer Society) & IMDA (Infocomm Media Development Authority).
He is Hon Chair of Cloud & Data Standards at IT Standards Committee (IMDA/ESG). He is also on the APEC DARE (Data Analytics Raising Employment) International Advisory Panel, and on the Credence DTRS (Data Trust Rating System) Expert Panel. He was conferred as an SCS Fellow in March 2018.
Raju is Hon Vice President of the SCS Cloud Chapter, and former Vice Chair of SGTech’s Cloud & Data Chapter. He is Vice President (New Technologies) at Fusionex Group, a leading software company that specializes in ABC (AI, Big Data Analytics, & Cloud ). Raju has been in the IT industry for 40 years. He was previously Head of Big Data & Cloud Practice – as well as Healthcare & Government solutions – at Dell EMC South Asia (covering Asean, IndoChina, Mongolia & all South Asian countries except India).
Prior to Dell, he was Managing Director of TechTrenders Asia, an advisory that helped companies migrate legacy apps to the cloud. He has previously worked in Hewlett-Packard (APJ Director of Comms), AMI Partners Inc (APAC Vice President) and as the BizIT Editor of The Business Times, Singapore, for a decade.
Dr Lek Hsiang Hui
Dr Lek Hsiang Hui is a Specialist in Data Analytics, System Analysis and Development. He is an IT techie who is passionate about computer systems and technology.
He is involved in a few startups and is constantly looking into innovative IT solutions which can be translated to business ideas, with the recent one in the area of Big Data Analytics. He is also a mobile application developer and has produced more than 10 mobile apps.
Dr Lek has been teaching various undergraduate courses and executive courses in National University of Singapore (NUS) since 2006. Some of these modules include programming methodology, enterprise system analysis and development, and data mining. During this period, he has won a number of teaching awards such as NUS Annual Teaching Excellence Award (2015/16, 2016/17, 2017/18) and NUS Annual Teaching Excellence Honor Roll (2018/19), Faculty Teaching Excellence Award (2014/15, 2015/16, 2016/17), and Faculty Teaching Excellence Award Honor Roll (2017/18).
Dr Lek received his Doctor of Philosophy (Information Systems) from NUS in 2013. His research area is in Natural Language Processing (Sentiment Analysis). He graduated with a Bachelor’s Degree (1st class Honors) in Computer Engineering from NUS.
Shopping Malls (UOL, Marina Square, ION), Healthcare (SingHealth), Government (STB), various SMEs in F&B, Apparels, Cleaning Solutions, Photography, Health Products, Baby Products
Dr Ai Xin
Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.
She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.
She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.
Dr Lu Weiquan
Dr Lu Weiquan is a Senior Lecturer at the School of Computing in NUS who examines the User Experience (UX) Design of technologically-empowered learning environments. He designs and utilizes experiential learning technology (such as simulations, Augmented and Virtual Reality) in the courses he teaches, and his education research interests include figuring out how all this technology tangibly and measurably affects human learning using Machine Learning and Artificial Intelligence. He also advises the government in the fields of UX design and experiential learning, and he develops Metaverse applications for industry clients. He holds a B.Comp. in Computing and a Ph.D. in Electrical and Computer Engineering from NUS.
Dr Amirhassan Monajemi
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.
He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007.
Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
Emerging Technologies and Future Skills Series: How Will AI Impact You?
Date: 22 Jul 2022
Time: 3pm – 4pm
AI is a buzzword today. Simply put, AI is about getting computers to perform tasks or processes that would be considered intelligent if done by humans. A range of industries – airlines, retailers, banks, and government agencies – are using AI to help you book airline tickets, buy goods and services, carry out secure ecommerce transactions and get intuitive public services. But what if something goes wrong? Who’s responsible? What are some pros and cons? Attend this informative & engaging session from to find out.
Emerging Technologies and Future Skills Series: Modern Web and Mobile Development
Date: 26 Jul 2022
Time: 11.30am – 12.30pm
Web development was traditionally associated with creating webpages but this perception has changed drastically in the last decade. Unlike the 1990s, web development can now be thought of as similar to development of desktop applications except for use through the web. This session will provide participants with a brief evolution of the web/mobile development scene and share some characteristics of modern web and mobile development styles. The participants should gain some appreciation of the characteristics of modern web and mobile development.
Data Driven Artificial Intelligence
Date: 28 Jul 2022
In this webinar, the participants will learn what is Artificial Intelligence (AI) and why is data is critical in AI development. It will also provide live demo on deep learning (a cutting-edge AI technology) and some case studies on how to use deep learning into various business sectors, e.g. agriculture, healthcare, manufacture and etc.
Improving your Business with UX Design
Date: 5 Aug 2022
In today’s competitive business landscape, your customers expect more than just feature-rich products and services. They demand experiences that are satisfying as well as functional. This webinar teaches you how to use UX Design to create great products, services and experiences for your customers. It also demonstrate how User Experience (UX) Design can be used to improve your business products and services.
AI and Machine Learning for Digital Transformation
Date: 11 Aug 2022
Time: 11:30am – 12:30pm
Digital transformation is not just about buying new software or adopting modern technology. It’s mostly about changing the management mindset, approach, and executive methods, via digital technology as a tool.
This integration of technology takes place across all of a business’s products, operations, sales, marketing, IT, and customer service functions.
The webinar will discuss how AI and Machine Learning can assist us in carrying out a successful digital transformation and cover the following:
- Digital Transformation Facts
- AI and Machine Learning Facts
- How AI and Machine Learning can help digital transformation
- Case study 1: Distribution
- Case study 2: Virtual Services
- The Future
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