01
Prof. Fei-Fei Li
Stanford University • USA
Artificial intelligence, computer vision, human-centered AI, responsible technology, and enterprise AI leadership.
International Conference • Research • Industry • Innovation
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Dates: 27–29 January 2027
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Location: Singapore
SCIENTIFIC & ADVISORY COMMITTEE
Advisory Board
The Advisory Board supports the scientific, technical and strategic direction of ECEAIDT 2027, helping shape a conference program that connects current research with practical developments across enterprise AI, digital transformation, governance, data systems, automation, cybersecurity and responsible technology.
Conference details
Dates
27–29 January 2027
Location
Singapore
Conference format
International academic & industry conference
Scientific direction
Support program relevance across emerging AI, data and digital transformation research.
Program quality
Contribute perspectives on important themes, interdisciplinary topics and high-value technical discussion.
Academic–industry exchange
Encourage meaningful interaction between researchers, technology professionals, practitioners and organisations.
Committee members
Advisory Board
The Board brings together perspectives across artificial intelligence, machine learning, responsible AI, digital governance, automation, intelligent systems and technology leadership.
02
Prof. Yoshua Bengio
Université de Montréal / Mila • Canada
Deep learning, AI safety, machine learning, responsible AI development, and global AI governance.
03
Prof. Andrew Ng
Stanford University / DeepLearning.AI • USA
Machine learning, AI education, enterprise AI adoption, applied AI systems, and AI entrepreneurship.
04
Prof. Stuart Russell
University of California, Berkeley • USA
Artificial intelligence, AI safety, human-compatible AI, machine learning, and responsible AI policy.
05
Dame Wendy Hall
University of Southampton • United Kingdom
Web science, computer science, AI policy, digital governance, and international technology leadership.
06
Prof. Kate Crawford
University of Southern California / Microsoft Research • USA
Social implications of AI, AI ethics, data systems, technology policy, labour, environment, and justice.
07
Dr. Timnit Gebru
Distributed AI Research Institute • USA
AI ethics, algorithmic bias, responsible AI, data justice, and independent AI research leadership.
08
Prof. Virginia Dignum
Umeå University • Sweden
Responsible artificial intelligence, AI ethics, human-centred AI, governance frameworks, and societal impact.
09
Prof. Zoubin Ghahramani
University of Cambridge / Google DeepMind • United Kingdom
Machine learning, probabilistic models, AI research leadership, and enterprise-scale intelligent systems.
10
Dr. Mira Murati
OpenAI • USA
AI systems development, product innovation, enterprise AI deployment, and advanced AI technologies.
11
Prof. Anima Anandkumar
California Institute of Technology / NVIDIA • USA
AI research, deep learning, scientific AI, enterprise AI infrastructure, and large-scale model systems.
12
Prof. Daniela Rus
MIT • USA
Robotics, AI systems, automation, intelligent machines, and enterprise-scale autonomous technologies.
Committee contribution
Supporting conference quality
The Advisory Board may contribute to the broader intellectual direction of the event, suggest areas of relevance, encourage interdisciplinary participation and support the visibility of important developments across the conference scope.
Theme development
Identify important research, technology and policy directions for the program.
Academic relevance
Encourage high-quality contributions aligned with the conference scope.
Interdisciplinary exchange
Connect AI research with enterprise systems, governance, industry and social impact.
International participation
Support a globally relevant program with academic and professional perspectives.
CONTRIBUTE TO ECEAIDT 2027
Interested in contributing?
Researchers, academics, practitioners and industry experts can participate through abstract submission, conference attendance and relevant partnership opportunities.