Professional Certificate in Artificial Intelligence for Business

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 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 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.

Dr Edmund Low

Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore.

He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.

Akshay Narayan

Akshay Narayan is a lecturer at the School of Computing in NUS. He received his Ph.D. degree from NUS in 2020 and M.Tech from IIIT-Bangalore in 2012. Akshay teaches senior undergraduate/graduate level AI Planning and Decision Making and introductory Software Engineering modules at SoC.

Akshay is broadly interested in AI planning, sequential decision making, and its applications. His current research is on transfer learning in reinforcement learning. Previously he has worked in the area of cloud computing. Some of his past projects include smart metering and chargeback as applied to cloud systems, incorporating power awareness in cloud metering, workload analysis for virtual machine sizing and location in private clouds, and QoS monitoring and response in cloud systems.

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.