Keynote Speakers
✦ All Keynote Speakers have been personally invited by the ASIRS Conference Committee and have confirmed their participation.
ASIRS 2026 invites leading scholars and industry pioneers to deliver keynote presentations on the latest advancements in AI, Digital Health, and Intelligent Engineering.
(Within the same role, names are listed in no particular order.)
Conference: ASIRS 2026
Proceedings Series
December 5-7, 2026
Gold Open Access
Keynote Speaker Info
Learn about speaker responsibilities and benefits
Indexing & Archiving
✓ Crossref (DOI registration)
✓ Google Scholar (submitted)
✓ OpenAIRE (under evaluation)
✓ DOAJ (pending – Dec 2026)
✓ LOCKSS & CLOCKSS
✓ Portico (digital preservation)
✓ Scilit
Applications in Progress
◻ Ulrichsweb – submitted, awaiting review
◻ COAJ – material ready, pending submission
◻ OAJ – in progress
◻ OARL – in progress
Future Targets
◻ Scopus
◻ ESCI (Web of Science)
◻ SSCI (Web of Science)
◻ SCIE
◻ EI Compendex
◻ CSCD (Chinese Science Citation Database)
◻ CNKI Scholar
Avg. review speed: 4–6 weeks
Acceptance rate: ~28–31%
Acceptance rate: ~28–31%
Aims & Scope
ASIRS 2026 focuses on the integration and advancement of Artificial Intelligence, Digital Health, and Intelligent Engineering. The conference brings together researchers, engineers, and practitioners to share cutting-edge research and foster interdisciplinary collaboration.
Conference Metrics
4–6 weeks
First Decision
First Decision
28–36%
Acceptance Rate
Acceptance Rate
3.0
Avg. Reviewers
Avg. Reviewers
6
Keynote Speakers
Keynote Speakers
Prof. Yike Guo Plenary Keynote
Chair Professor of Data Science, Hong Kong University of Science and Technology
Professor Yike Guo is a leading expert in data science and artificial intelligence. His research focuses on large-scale data analytics, machine learning, and AI applications in healthcare and smart cities.
Keynote Title: "AI and Data Science for Next-Generation Healthcare" Key Achievements: Fellow of the Royal Academy of Engineering; Director of the Big Data Institute at HKUST; over 300+ publications in top AI and data science journals.
Chair Professor of Data Science, Hong Kong University of Science and Technology
Professor Yike Guo is a leading expert in data science and artificial intelligence. His research focuses on large-scale data analytics, machine learning, and AI applications in healthcare and smart cities.
Keynote Title: "AI and Data Science for Next-Generation Healthcare" Key Achievements: Fellow of the Royal Academy of Engineering; Director of the Big Data Institute at HKUST; over 300+ publications in top AI and data science journals.
Dr. Fei-Fei Li Plenary Keynote
Co-Director, Stanford Institute for Human-Centered AI; Professor of Computer Science, Stanford University
Dr. Li is a world-renowned leader in AI and computer vision. Her research focuses on human-centered AI, machine learning, and the intersection of AI with healthcare and education.
Keynote Title: "Human-Centered AI: Building Systems That Work for People" Key Achievements: Founding Director of the Stanford AI Lab; Co-Founder of AI4ALL; Recipient of the ACM Prize in Computing; Author of over 200+ peer-reviewed publications.
Co-Director, Stanford Institute for Human-Centered AI; Professor of Computer Science, Stanford University
Dr. Li is a world-renowned leader in AI and computer vision. Her research focuses on human-centered AI, machine learning, and the intersection of AI with healthcare and education.
Keynote Title: "Human-Centered AI: Building Systems That Work for People" Key Achievements: Founding Director of the Stanford AI Lab; Co-Founder of AI4ALL; Recipient of the ACM Prize in Computing; Author of over 200+ peer-reviewed publications.
Invited Keynote Speakers
Prof. Kai Hwang
University of Southern California
Cloud Computing, AI Infrastructure
IEEE Fellow · Author of 10+ books on distributed systems and cloud computing
University of Southern California
Cloud Computing, AI Infrastructure
IEEE Fellow · Author of 10+ books on distributed systems and cloud computing
Prof. Heike M. Bischoff
Technical University of Munich
Digital Health, Medical AI
Director of the Institute for Digital Medicine · Published in NEJM, The Lancet · Pioneer in clinical AI applications
Technical University of Munich
Digital Health, Medical AI
Director of the Institute for Digital Medicine · Published in NEJM, The Lancet · Pioneer in clinical AI applications
Dr. Rajesh Mishra
Intel Corporation
Intelligent Engineering, IoT
Director of AI Solutions · 20+ patents in edge computing and smart manufacturing
Intel Corporation
Intelligent Engineering, IoT
Director of AI Solutions · 20+ patents in edge computing and smart manufacturing
Prof. Qing Yu
Chinese Academy of Sciences
Machine Learning, Data Science
Head of the AI Research Group · Author of 150+ papers · Expert in large-scale deep learning systems
Chinese Academy of Sciences
Machine Learning, Data Science
Head of the AI Research Group · Author of 150+ papers · Expert in large-scale deep learning systems
Learn about keynote speaker responsibilities, benefits, and speaking opportunities at ASIRS.
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