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AI and DI week

05 Jan 2021 - 08 Jan 2021 Various timings Virtual

Explore how Artificial Intelligence (AI) and Design Innovation (DI) are transforming our world in our first-ever AI and DI week.

Join us for an exciting week of hands-on workshops and webinars by industry experts.

From industry speakers sharing their expert know-how, to interactive hands-on sessions, discover the human-machine relationship and see how you can be part of a new generation of design innovators to better the world. 

Schedule 

Date & Time Events

Tue, 5 Jan 
10AM - 12PM

Opening Speech 
Prof Chong Tow Chong, President, SUTD

[Industry Talk] Pathway to General Artificial Intelligence: Simulation for AI and AI for Simulation
Dr Simon See, Director and Chief Solution Architect NVIDIA AI Technology Centre, NVIDIA

[Industry Talk] AI in Healthcare: A Provider’s Perspective
Assoc Prof Tan Cher Heng, Senior Consultant, Department of Diagnostic Radiology, Tan Tock Seng Hospital

Tue, 5 Jan
3PM - 5PM

[Workshop] AI & Human Voice 
Assistant Prof Berrak Sisman, Information Systems Technology and Design (ISTD), SUTD

Wed, 6 Jan
2PM - 5PM

[Workshop] AI + DI with Chatbots
Mr Seah Tat Leong, Chief Product Officer, Codomo 

[Industry Talk] Creative Entrepreneurship from an SUTD Alumni Start-up
Mr Aditya Batura, Co-Founder and CEO, Codomo

Thu, 7 Jan
3PM - 5PM

[Workshop] Artificial Creativity: A Design Dialogue with AI? 
Assistant Prof Immanuel Koh, Architecture and Sustainable Design (ASD) and Design and Artificial Intelligence (DAI), SUTD

Fri, 8 Jan 
10AM - 12PM 

[Workshop] AI within Social Media 
Assistant Prof Lim Kwan Hui, Information Systems Technology and Design (ISTD), SUTD

Fri, 8 Jan 
2PM - 5PM

[Industry Talk] Introduction to Automated Machine Learning
Dr Clifton Phua, Senior Director, DataRobot

[Industry Talk] Urban Planning in the age of AI
Ms Tay Yi Wen, Executive Planner, Digital Planning Lab, URA

Closing Speech
Prof Tony Quek, Head of Pillar (ISTD) & Cheng Tsang Man Chair Professor, SUTD

Event Synopses and Speakers

Tue, 5 Jan [Industry Talk]
Pathway to General Artificial Intelligence: Simulation for AI and AI for Simulation

Dr Simon See
Director and Chief Solution Architect
NVIDIA AI Technology Centre, NVIDIA

Recently, Deep Learning which is a subset of Artificial Intelligence has made great progress. The accuracy of computer vision, automatic speech recognition, image processing and language translation using deep learning have already surpassed human capability.
 
However, these technologies required huge amounts of data to train. The size of the neural network has grown a few orders in term of size. In order to achieve higher level artificial intelligence, we need to develop algorithms that can be trained with much smaller data sizes or simulated models. In this talk, Dr Simon See discusses the state of art AI algorithm, applications and how simulation is being used for Artificial General Intelligence.

Bio 

Dr Simon See is currently the Solution Architecture and Engineering Director and Chief Solution Architect for Nvidia AI Technology Center. He is also a Professor and Chief Scientific Computing Officer at Shanghai Jiao Tong University, Professor in Beijing University of Posts and Telecommunications (BUPT), and Professor in Universitas Indonesia (UI). He is being conferred as a Distinguished Fudan Scholar in September 2018 by Fudan University, Shanghai, China. Previously Dr See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand). Dr See is currently involved in a number of smart city projects, especially in Singapore and China. His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science, Applied Mathematics and Simulation Methodology. Dr See is also leading some of the AI initiatives in the Asia Pacific. He is a Steering Committee member of NSCC’s flagship High Performance Computing Conference Supercomputing Asia (SCA) since March 2018. He has published over 200 papers in these areas and has won various awards.

Dr See is also the member of SIAM, IEEE, and IET. He is also the committee member of more than 50 conferences.

Dr See graduated from the University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993.   Prior to joining NVIDIA, Dr See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle. He is also providing consultancy to a number of national research and supercomputing centers.

Tue, 5 Jan [Industry Talk]
AI in Healthcare: A Provider’s Perspective

Assoc Prof Tan Cher Heng
Senior Consultant, Department of Diagnostic Radiology
Tan Tock Seng Hospital

In this talk, I will share about some practical aspects of AI applications in Healthcare, drawing on my own experience in Radiology. I will further discuss the direction and future of the industry from a provider's perspective. Lastly, I shall briefly discuss - "do you have what it takes to be a part of the Healthcare sector".

Bio

Associate Professor Tan Cher Heng graduated with a medical degree from National University of Singapore, completed his post-graduate training in Diagnostic Radiology at MD Anderson Cancer Center, and the Global Executive MBA from Insead. He is presently Senior Consultant with the Department of Diagnostic Radiology and serves as Assistant Chairman Medical Board (Clinical Research and Innovation) at Tan Tock Seng Hospital (TTSH), as well as Deputy Clinical Director for the Centre for Healthcare Innovation. He holds the positions of Assistant Dean (Clinical Research) for Lee Kong Chian School of Medicine and President of the Singapore Radiological Society.  His subspecialty interests are in oncologic imaging with MRI and more recently, use of artificial intelligence in medical imaging. In his spare time, he enjoys running on his own or with his three sons.

Tue, 5 Jan [Workshop]
AI & Human Voice

Assistant Prof Berrak Sisman
Information Systems Technology and Design (ISTD), SUTD

Speech information processing is a significant aspect of artificial intelligence. There are many things in artificial intelligence to be improved by speech research. Humans communicate through speech; we express meanings and feelings through speech. On the other hand, machines are still unable to do the same in a human-like manner. In this talk, we will study the recent artificial intelligence approaches for human voice generation. We will also investigate how AI can empower many novel products and services, such as intelligent agents, conversational assistants, social robots, movie dubbing and talking heads.

Bio 

Dr Berrak Sisman is a tenure-track Assistant Professor at Singapore University of Technology and Design. She is also an affiliated Researcher and Team Leader at Human Language Technology Lab of National University of Singapore (NUS). She received her PhD in Electrical and Computer Engineering from NUS, fully-funded by A*STAR Graduate Academy. She has been a visiting researcher at Columbia University in the City of New York in 2020. During her PhD studies, she was attached to RIKEN Advanced Intelligence Project (Japan) in 2018. She was also a visiting scholar at The Centre for Speech Technology Research (CSTR), and an exchange PhD student at University of Edinburgh, Scotland in 2019.

Dr Berrak Sisman’s research interests include speech information processing, machine learning, speech synthesis and voice conversion. She has published in leading journals and conferences, including IEEE/ACM Transactions on Audio, Speech and Language Processing, ASRU, INTERSPEECH and ICASSP. She was awarded APSIPA PhD Forum Best Presentation Award for her presentation titled “Limited Data Voice Conversion from Sparse Representation to GANs and WaveNet” in 2018, Hawaii, United States. In 2019, she has represented NUS team’s participation to ‘ZeroSpeech 2019: TTS without T’, and received top scores. She has served as the Local Arrangement Co-chair of IEEE ASRU 2019, Chair of Young Female Researchers Mentoring @ASRU2019, and Chair of the INTERSPEECH Student Events in 2018 and 2019.

Wed, 6 Jan [Workshop]
AI + DI with Chatbots

Mr ​Seah Tat Leong
Chief Product Officer 
Codomo

Since 2015, messaging apps have overtaken social media as the dominant communication platform. This led to the explosive growth of chatbots and presents an innovation opportunity for us. In this webinar, you will learn how AI and design work hand-in-hand when building a chatbot. In addition, you get to build and deploy a chatbot within minutes. 

Bio 

Tat Leong has always strived to bring his ideas to reality. Graduating with a B.Eng (Summa cum laude) from SUTD’s Engineering Product Development pillar, he is in charge of designing Codomo’s unique and comprehensive curriculum that integrates design and technical skills. His vision is to nurture young designers and innovators by equipping them with 21st Century skills that will enable them to create an impact on the world in the future. Tat Leong has won numerous design accolades, most notably the prestigious Red Dot Design Award in 2012. He was also one of the top 10 finalists in the IKEA Young Designer Award 2014.

Tat Leong is the main driver behind the product development & supply chain of Potato Pirates and the delivery of workshops for Codomo’s educational services.

Wed, 6 Jan [Industry Talk]
Creative Entrepreneurship from an SUTD Alumni Start-up

Mr Aditya Batura
Co-Founder & CEO
Codomo

Aditya Batura is an SUTD Pioneer and also the Co-founder & CEO of an education technology startup, Codomo. They are the creators of the Potato Pirates coding & cybersecurity games that raised over $500,000 on Kickstarter. Besides computer science education, his team is working on gamifying design innovation with a new product, Rolljak. Join this talk to gain insights into how they transform the learning experience of computer science and design education and how has SUTD provided a platform and opportunities for them to showcase their entrepreneurship spirit.

Bio 

Aditya is the co-founder and CEO of Codomo, an education technology company with a mission to deliver delightful education experiences to nurture innovative minds for the 21st century. He has a strong passion for making a positive impact in education and learning by combining his skills in software engineering, experience in design thinking and his love of growth hacking.

Under Aditya's leadership, Codomo’s first product line; Potato Pirates, has gone on to be the most successful series of Kickstarter games from Singapore – each campaign raising over USD 200,000. Potato Pirates are a series of tabletop games which teach computer science fundamentals without computers and have gone on to be featured on large publications such as The Wall Street Journal, USA Today, Forbes, Smithsonian and Mashable as one of the best ways for kids to learn computer science.

An avid life-long learner, Aditya’s myriad of personal interests include biohacking and spirituality. He is also a certified personal trainer, independently recording musician, a black belt holder in Goju-Ryu Karate, and holds a Blue Belt in Brazilian Jiu-Jitsu, for which he won a Bronze medal in Grappleasia’s Dumau tournament 2017 and Singapore BJJ open 2019.

Thu, 7 Jan [Workshop]
Artificial Creativity: A Design Dialogue with AI?

Assistant Prof Immanuel Koh
Architecture and Sustainable Design (ASD) and Design and Artificial Intelligence (DAI), SUTD

The webinar will introduce the relationship between human and machine agencies in creativity, through a fun and hands-on session of building a simple AI design assistant.

Bio

Immanuel Koh is an Assistant Professor in both the pillars of Architecture & Sustainable Design (ASD) and Design & Artificial Intelligence (DAI) at the Singapore University of Technology and Design (SUTD), where he teaches and conducts research on the creative use of deep learning for architectural and urban designs. Currently, he directs the research laboratory ‘Artificial Architecture’ in designing and developing new bespoke architectures of A.I. learning models to solve complex design problems facing the built environment.

Prior to joining SUTD, he was based at École polytechnique fédérale de Lausanne (EPFL) in Switzerland, doing transdisciplinary research work between the School of Computer Sciences and the Institute of Architecture. His doctoral studies, which was nominated for the EPFL Best Thesis Prize, interrogated the epistemological and formal basis of architecture, by reformulating a new design theory through the conceptual and algorithmic lens of probabilistic sampling in machine learning.

Since graduating from the Architectural Association (AA) London, he has taught at the AA, Royal College of Art (London), Tsinghua University (Beijing), Strelka (Moscow), Angewandte (Vienna), DIA (Bauhaus Dessau), Harvard GSD, UCL Bartlett and many others. His design work has been exhibited internationally, such as at London’s V&A Museum, Shanghai’s 3D Printing Museum and Taipei’s Tittot Glass Art Museum; and published widely, such as in Architectural Design (AD) and Design Computing & Cognition. Immanuel has also practiced as an architect at Zaha Hadid Architects (London), as a programmer at ARUP with Relational Urbanism (London), and as a creative coder at Convergeo (Lausanne) and anOtherArchitect (Berlin).

Fri, 8 Jan [Workshop]
AI within Social Media

Assistant Prof Lim Kwan Hui
Information Systems Technology and Design (ISTD), SUTD

Social networking sites and apps have become a prevalent part of our daily life. In this webinar, we will explore how Artificial Intelligence can be used for various applications in the social and urban setting. Examples include geo-locating the location of a social media message based on its text and understanding the sentiments towards specific places or topics.

Bio

Lim Kwan Hui is an Assistant Professor at the Information Systems Technology and Design Pillar, Singapore University of Technology and Design, and leads the Social and Urban Analytics Lab. Previously, he was a Research Fellow at the School of Computing and Information Systems, University of Melbourne, Research Engineer at the Living Analytics Research Centre, Singapore Management University, Research Intern at IBM Research – Australia, and various visiting appointments. He received his PhD from the University of Melbourne, and MSc (Research) and BCompSci (1st Class Honours) from the University of Western Australia. He is a recipient of the 2016 Google PhD Fellowship in Machine Learning. His research interests are in Data Mining, Machine Learning, Artificial Intelligence, Social Network Analysis, and Social Computing.

Fri, 8 Jan [Industry Talk]
Introduction to Automated Machine Learning

Dr Clifton Phua
Senior Director  
DataRobot

Automated Machine Learning (AutoML) democratizes data science and automates the end-to-end process for building, deploying, and maintaining AI at scale. In this talk, we examine why AutoML is needed to drive better business outcomes, and a live demo will be given to show how it works for a real-world use case.

Bio

Clifton has been a data scientist for more than 12 years with experience across banking, insurance, and government sectors. His domain expertise lies in cyber security, fraud detection, and public safety. Currently, Clifton is a Senior Director at DataRobot, a leader in automation-focused machine learning solutions. He leads a team of APAC’s Customer-Facing Data Scientists.

Fri, 8 Jan [Industry Talk]
Urban Planning in the age of AI

Tay Yi Wen
Executive Planner, Digital Planning Lab  
Urban Redevelopment Authority of Singapore (URA)

We now exist in an era where the ability to harness technology will increasingly determine our success in achieving good outcomes. Cities are inherently complex systems, which need to be understood more robustly through data analytics and Artificial Intelligence. This talk will cover the challenges we face in urban planning in Singapore, and how we can tap on emerging technologies to understand and plan for our city.

Bio

Yi Wen is an Executive Planner at the Digital Planning Lab at the Urban Redevelopment Authority. She currently leads the Plan AI effort within URA, which is a roadmap to bring urban planning into the age of AI.

Before joining the Digital Planning Lab, Yi Wen was part of URA’s Strategic Planning Group, and focused on championing environmental sustainability issues such Urban Heat Island, biodiversity and urban farming. She has a background in Sociology.

For enquiries, please contact the Programme Manager, Mr Lim Hwei Zhong at hweizhong_lim@sutd.edu.sg.

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