Important Notes

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2. Please email Dr Shonali Krishnaswamy (shonali@aidatech.io) or Dr Ng Wee Siong (wsng@i2r.a-star.edu.sg) after you register to receive workshop related communications.

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Speaker Biographies

Bio - Prof. Arkady Zaslavsky

Dr Zaslavsky is a Professor of Distributed Systems & Security and Director of CITECORE – Centre for IoT Ecosystem Research and experimentation at Deakin University, Melbourne, Australia. Arkady is leading and participating in R&D projects in Internet of Things, mobile analytics and distributed contextual intelligence areas. He was a technical leader of the EU Horizon-2020 project bIoTope – building IoT Open Innovation Ecosystem for connected smart objects and in EU FP7 project OpenIoT. Professor Arkady Zaslavsky holds Adjunct-Professorship appointments with a number of Australian and International universities, including La Trobe University, University of Luxembourg and ITMO University, St Petersburg. Arkady Zaslavsky has published more than 400 research publications throughout his professional career and supervised to completion more than 45 PhD students. Arkady Zaslavsky is a Senior Member of ACM and a Senior Member of IEEE Computer and Communication Societies.

Bio - Dr Cao Hong

As director of EY’s data analytics consulting in Singapore, Dr Cao leads the firm’s data science and AI competency, AI strategy works, and various data science / AI client engagements throughout presales, pursuits to delivery. He is an AI evangelist with rich experience to develop complex and tailor-made AI solutions in practice. He is also a winner of the EY better-begins-with-you top regional innovation awards for two consecutive years from 2018 to 2019 and was selected as the global innovation finalist. He has a research background with numerous top-tier publications in data mining, signal processing and image forensics. His work in data-driven image forensics received the best paper award in IWDW 2010 and honorary mention in ISCAS 2010. He is also a winner of multiple international data competitions, such as GE Flight Quest in 2013. He has served as the chair of IEEE signal processing society, Singapore chapter, during 2017 – 2018.

Bio - Prof. Christian Becker

Christian Becker is a full professor for Computer Science at the University of Stuttgart since April 2022. Prior to that he was a full professor for Information Systems at the University of Mannheim from 2006 till 2022. Christian studied Computer Science at the Universities of Karlsruhe and Kaiserslautern where he graduated in 1996. He received his PhD from the University of Frankfurt in 2001. In 2001 he joined the distributed systems group at the University of Stuttgart as PostDoc. In 2004 he received the venia legendi (Habilitation) for Computer Science (Informatik). Christian's research interests are Distributed Systems and Context-Aware Computing. He is specifically interested in architectures for adaptive systems and their application to distributed systems. Christian has published more than 200 technical papers. He is a member of the IEEE Pervasive Computing and Communication Conference (PerCom) steering committee. Christian is active in the community, e.g., he was general chair of IEEE PerCom in 2010, TPC chair in 2016. He was/is general chair of IEEE Mobile Data Management in 2007 and 2023 and contributed to many other scientific venues.

Bio - Dr Clifton Phua

As Chief Technology Officer of Digital Systems at ST Engineering, Clifton Phua oversees the R&D and productization roadmaps of digital systems, working with specialists in Quantum, Data and AI (e.g. Generative AI), Cloud and Edge Computing, 5G and 6G, Satellite Communications and Imaging, Autonomous and Unmanned Tech, AR/VR/MR/XR, and Cybersecurity. Clifton has a proven track record of success, previously serving as Regional Vice President at DataRobot, where he focused on the data science practice in the Asia Pacific region. He also served as Director at NCS, where he led their data scientist team, and worked as a data scientist at SAS and A*STAR. Clifton earned a PhD and a Bachelor's degree (First Class Honours) in Information Technology from Monash University in Australia. He also completed the INSEAD Advanced Management Program.

Bio - Deva Seetharam

Deva P. Seetharam is a serial entrepreneur, inventor and a scale-up advisor. He has developed multiple deep tech solutions for a wide variety of domains such as Distributed Energy Resources, Pervasive Media, Energy Efficiency, Wireless Sensor Networks, etc. He holds an MS from MIT Media Lab.

URL: http://alumni.media.mit.edu/~deva/

Bio - Prof. Flora Salim

Professor Flora Salim is the inaugural Cisco Chair of Digital Transport, University of New South Wales (UNSW) Sydney. Her research is on ubiquitous computing, behaviour modelling, trustworthy and robust AI, and machine learning for multimodal sensor data. She is an Editor of Proceedings of the ACM on Interactive, Mobile, Wearable, Ubiquitous Technologies (IMWUT), the Associate Editor-in-Chief (AEIC) of IEEE Pervasive Computing, and an Associate Editor of ACM Transactions on Spatial Algorithms and Systems. She is a Chief Investigator of the ARC Centre of Excellence in Automated Decision Making and Society (ADM+S), and the Co-Lead of the ADM+S Machines Program, and the Transport and Mobilities Focus area. She is a member of the Australian Research Council (ARC) College of Experts.

Bio - Dr Lawrence Wee

Lawrence Wee is a strategic and visionary data science professional with over 12 years of deep technical experience and leadership in advanced analytics. He led a wide spectrum of "big data" analytics projects for academia and industry, with proven expertise in helping senior management stakeholders spearhead breakthroughs in operationalproductivity, business strategy and innovation. Lawrence owns extensive data science experience in the connected health, personal care and translational medicine domains.

Bio - Mohan Jayaraman

Mohan Jayaraman is an Expert Partner in Bain and Co in the advanced analytics space. His primary focus is with customers to deliver large data sciences, Machine Leaning (ML) and advanced analytics projects across the FS and consumer sectors in the APAC region. Mohan has over 27 years of experience in Data Sciences, Artificial Intelligence, and digital capabilities across APAC markets. His expertise is in building, operating, scaling, and achieving revenue outcomes from Artificial Intelligence / Machine Learning and decision sciences capabilities. He also has significant experience in building and executing data strategy across APAC. Mohan has coached gender diverse, culturally mixed, and multigenerational teams of over 500 people to deliver high performance outcomes. He has experience in managing Board roles across the region working closely with regulators, investors and promoters. Prior to Bain, Mohan was with Experian for 11 years with his last role as the APAC leader for Analytics and Innovation and Managing Director for the ASEAN (including Japan and Korea). He built and scaled multiple analytics COEs (Centres of Excellence) in APAC, established the firm’s APAC Innovation hub with a portfolio of AI products and grew the region’s P&L substantially. Before Experian, Mohan was a senior banking professional with ICICI Bank, with his last role as its Head of Enterprise analytics and Payment strategy. Mohan has been an active and passionate member of the Social Innovation Committee of Experian globally, focused on funding and building products with social objectives. Mohan is a data science, machine learning and technology enthusiast with experience in consumer banking as well as the B2B business space. He participates actively in social innovation work including funding and building products with social goals. Outside of work, he is an avid reader of science fiction, and enjoys teaching children AI and Robotics through game builds.

Bio - Prof. Prem Jayaraman

Prof. Jayaraman is a Professor in Internet of Things and Distributed Systems and Director of Swinburne’s Factory of the Future and Digital Innovation Lab. He leads industry-funded ground-breaking research in Internet of Things (IoT), Mobile and Cloud computing to co-create novel solutions underpinned by digital technologies solving industry problems and aiding their digital transformation journey. Prof. Jayaraman’s research has aimed to develop novel and resilient Internet of Things architectures that work in uncertain distributed environments. He has received over $7.5Mil in competitive external research funding (CAT 1 – 4) from both industry and ARC to fund his research. He has pioneered the Internet of Things systems research area developing and deploying Industrial IoT solutions for various domains including Agriculture, Manufacturing, Food and Beverages, Mining and Health. He has (co) authored 150+ journal, conference and book chapter in highly ranked venues the above research areas. Contact: www.premjayaraman.com

Bio - Prof. See Kiong Ng

See-Kiong Ng (Ph.D. Carnegie Mellon University) is currently Director of AI Technology at AI Singapore, as well as a Professor of Practice at the School of Computing at National University of Singapore (NUS), and the Deputy Director of the university’s Institute of Data Science. See-Kiong started his research career trying to teach computers to understand the human language using traditional computational linguistics approaches, but he was disappointed by the state of NLP back then and ended up doing a PhD dissertation on teaching computers unravel the language of DNA as one of the early bioinformaticians in the 1990s. See-Kiong has since embarked on a lifelong transdisciplinary and translational research career path, applying what he had learned from bioinformatics to a wide array of real-life data science and AI application domains ranging from human cities to internet-of-things. He has recently returned to dabble in NLP research about 3 years ago, for his interest was re-ignited (and “prompted”) with the many promises of statistical machine learning approaches with large pre-trained language models, all of which have come true ahead of time as we now know.

Bio - Prof Steven Miller

Steven Miller is Professor Emeritus of Information Systems, School of Computing and Information Systems, Singapore Management University (SMU). His areas of expertise are AI applications and impacts, and Human-Machine symbiosis and hybrid intelligence. In recent years, he has been focusing on case studies and advisory work related to AI applications and deployments, digital transformation, and organisational learning and capability building.

He is actively collaborating with SMU’s Centre for Management Practice to create teaching cases. He serves as a faculty for SMU Executive Development, the university’s executive education unit. He is a consultant to IHiS, Singapore’s national HealthTech agency, advising their Chief Digital Officer and their Data Analytics and AI unit. He is appointed to Singapore’s Urban Redevelopment Authority (URA)’s AI Technology Advisory Panel which includes advising URA’s Design & Planning Lab. He is also an Industry Advisor to AI Singapore’s Innovation Pillar.

In prior years, he previously served as a consultant to Changi Airport Group’s Corporate IT Division, and to the Certis Centre for Applied Intelligence of Certis Group. He also previously served as an adviser to the board of the ASEAN Financial Innovation Network and their APIX platform, and to One Connect Financial Technology Singapore. He was a faculty member at SMU for nearly 18 years. He served as Founding Dean of SMU’s School of Computing and Information Systems for over 13 years (end-2002 to mid-2016), establishing the school’s initial capabilities across Data Science and Analytics, AI, Cybersecurity, Mobile Systems, Software Engineering, and Information Systems Management. He also initiated the school’s bachelors, masters, and PhD programmes.

He also served as SMU’s Vice Provost for Research for 8 years (concurrently as Dean for four years, and then on a full-time basis for another four years). He retired from SMU and transitioned to Professor Emeritus in July 2020. He received Singapore’s Public Service Administration Medal (Silver) in 2014 for his contributions to SMU and the higher education community.

Bio - Dr Tan Geok Leng

Dr Tan Geok Leng is the CEO of AiDA Technologies, a multi-award winning Singapore start-up that has contributed to transforming the health insurance claims processing in Singapore using AI and Machine Learning. AiDA Technologies was recently acquired by Amplify Health. Dr. Tan is a veteran of the ICT industry with over 30 years of experience. He spent his first 15 years in industry working in R&D at Motorola, consulting at Scientific Generics in Cambridge, England and as the Managing Director of Goldtron Telecommunications, a company that designed and launched Singapore’s first type-approved GSM mobile handset. The next 15 years were spent in Government, initially at the Infocomm Development Authority of Singapore (IDA) as CTO and later in A*STAR, where he headed the Institute for Infocomm Research (I2R) as its Executive Director. Dr. Tan obtained his Ph.D. from Cambridge University in 1990. He attended the Advanced Management Programme (AMP) at Wharton in 2007 and the Executive Programme at the Singularity University in 2011. Dr Tan is Singapore's Representative in the GPAI (Global Partnership on AI).

Bio - Ying Shao Wei

Shao Wei is a Senior Partner and Chief Scientist at NCS, APAC’s leading technology services company. He leads NCS Technology Centre of Excellence that scans for relevant technology trends, engages corporate labs and promising start-ups, experiments with emerging technologies and develops NCS’ future technology capabilities and points of view. He has been active in building up scalable AI-enabled software solutions and services for large, asset-intensive enterprises and government agencies. He is concurrently on the Board of NCS’ subsidiary DataSpark (www.dsanalytics.com), a Big Data and AI start- up which he founded in 2014 to provide population-wide mobility intelligence to enterprise and government agencies.