Natural Language Processing
Natural Language Understanding
Natural Language Generation
Named Entity Extraction
Deep Learning Models
RNN & LSTM
Machine Learning Models
Hugging Face Transformers
Professor Karin Verspoor is Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia and a Fellow of the Australasian Institute of Digital Health. Karin’s research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction information from clinical texts and the biomedical literature and machine learning-based modelling. In addition to roles in academia and government research facilities in the US and Australia, Karin spent 5 years in technology start-ups developing AI and NLP systems.
Dr. Lau Cher Han is a chief data scientist and keynote speaker in data science and A.I for major companies, organisations, and government agencies across Australia, Malaysia, Taiwan and other ASEAN countries.
He has trained and advised many of the organisations including Intel, Standard Chartered, and IBM. He is also keynote speaker in data science conferences for Microsoft, Facebook and Google. As the CEO of LEAD, Dr. Lau’s current focus is on helping clients to grow their data science teams and to gain insights by combining structured and unstructured data. He helps the clients on implementing data analytics and big data strategies, and preparing for the future big data economy.
Tim Baldwin is a Melbourne Laureate Professor in the School of Computing and
Information Systems, The University of Melbourne, and also Director of the ARC
Centre for Cognitive Computing in Medical Technologies and Vice President of
the Association for Computational Linguistics. His primary research focus is
on natural language processing (NLP), including social media analytics, deep
learning, and computational social science.
Tim completed a BSc(CS/Maths) and BA(Linguistics/Japanese) at The University
of Melbourne in 1995, and an MEng(CS) and PhD(CS) at the Tokyo Institute of
Technology in 1998 and 2001, respectively. Prior to joining The University of
Melbourne in 2004, he was a Senior Research Engineer at the Center for the
Study of Language and Information, Stanford University (2001-2004). His
research has been funded by organisations including the Australia Research
Council, Google, Microsoft, Xerox, ByteDance, SEEK, NTT, and Fujitsu, and has
been featured in MIT Tech Review, IEEE Spectrum, The Times, ABC News, The
Age/SMH, Australian Financial Review, and The Australian. He is the author of
well over 400 peer-reviewed publications across diverse topics in natural
language processing and AI, with over 16,000 citations and an h-index of 60
(Google Scholar), in addition to being an IBM Fellow, ARC Future Fellow, and
the recipient of a number of best paper awards at top conferences.
Ralph Vincent Regalado is Senti AI’s CEO and a Google Developer Expert for Machine Learning and the 2020 PCCI-Injap-Sia Outstanding Young Entrepreneur in Service Awardee He began dabbling in the startup scene when he joined Ideaspace’s StartUp Weekend Manila. Ralph pitched the concept of an AI-backed analytics software that was able to understand Filipino languages and ended up winning. To date, he leads Senti AI, the pioneering Artificial Intelligence company in the Philippines that is focused on creating customer-centric AI solutions for BPOs, telcom, media, government, research, and more. His company’s mission is to empower humans and organizations to efficiently work with AI. Ralph has represented Senti AI and the Philippines in other countries including Hong Kong, Korea, Taiwan, Singapore, Indonesia, Malaysia, and Poland. Before innovating the Artificial Intelligence scene in the Philippines, Ralph fulfilled his first passion: teaching. Ralph was a former Assistant Professor at De La Salle University where he taught mobile, web development, and technopreneurship courses. Continuing his passion for education, Ralph now also travels around the world conducting Machine Learning bootcamps on behalf of Google to address the lack of talent in and awareness about Artificial Intelligence.
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