![]() | AISIR 2026: Auckland International Conference on Stroke and Intelligent Rehabilitation Grafton Auckland, New Zealand, February 19-21, 2026 |
Conference website | https://easychair.org/cfp/AISIR2026 |
Submission link | https://easychair.org/conferences/?conf=aisir2026 |
Abstract registration deadline | November 30, 2025 |
Submission deadline | November 30, 2025 |
AISIR 2026: Auckland International Conference on Stroke and Intelligent Rehabilitation
AISIR 2026 is the inaugural edition of an annual international conference dedicated to advancing stroke research and rehabilitation through interdisciplinary collaboration and intelligent technologies. It will be held in Auckland, New Zealand, bringing together researchers, clinicians, engineers, and industry partners from across the world.
AISIR 2026 covers the full spectrum of stroke research — from prevention and acute diagnosis to advanced imaging analysis, intelligent rehabilitation, and inclusive healthcare systems. The conference particularly welcomes innovations in AI, neuroimaging, assistive technologies, and digital health that aim to improve outcomes for stroke patients.
Submission Guidelines
AISIR 2026 invites researchers, clinicians, engineers, and innovators to submit abstracts presenting original work relevant to stroke research, diagnosis, imaging, and intelligent rehabilitation technologies.
At this stage, only abstracts (maximum 300 words) are required. Full papers are not necessary.
There will be no predefined categories for oral or poster presentations at this time. Presentation formats will be determined based on the number and type of accepted submissions and will be communicated after the review process.
Submissions will be reviewed for relevance, innovation, and clarity.
List of Topics
We invite submissions in, but not limited to, the following areas:
-
Stroke rehabilitation technologies AR/VR-based therapy, robotics, brain-computer interfaces, and gamified systems
-
AI and machine learning in stroke care Diagnosis, lesion segmentation, outcome prediction, and triage support
-
Neuroimaging and computational analysis MRI, CT, ASL, DTI, fMRI, EEG, and multimodal image integration
-
Non-invasive brain stimulation and neuromodulation TMS, tDCS, transcranial focused ultrasound stimulation (TUS), and related methods
-
Digital health and assistive tools Smart apps, LLM-driven interfaces, chatbots, and remote rehab platforms
-
Nursing and allied health innovation Clinical models in physiotherapy, OT, SLT, and nursing-led rehabilitation
-
Stroke prevention and systems design Risk prediction, digital coaching, and integrated care delivery models
-
Sensor technologies and remote monitoring Wearables, IoT, and home-based systems for real-time recovery tracking
-
Human factors and patient engagement Usability, accessibility, and behavioural design of rehab technologies
Committees
Program Committee
-
Alan Wang, University of Auckland, NZ
-
Monika Harvey, University of Glasgow, UK
-
David Lin, Harvard Medical School, USA
-
Valery Feigin, Auckland University of Technology, NZ
Organizing committee
-
Alan Wang, University of Auckland, NZ
-
Sibusiso Mdletshe, University of Auckland, NZ
-
Nikolas Kasabov, Auckland University of Technology, NZ
Keynote Speakers
-
Prof. Monika Harvey, Cognitive Neuroscience, University of Glasgow, UK
-
Prof. David Lin, NeuroRecovery Clinic, Massachusetts General Hospital, USA
-
Prof. Geert Verheyden, KU Leuven, Belgium
-
Prof. Guizhi Xu, Hebei University of Technology, China
-
Prof. Suzanne H. S. Lo, The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR
-
Prof. Nikola Kasabov, Auckland University of Technology, NZ
-
Prof. Rita Krishnamurthi, Auckland University of Technology, NZ
Venue
The conference will be held at the University of Auckland Grafton Campus, centrally located in Auckland, New Zealand, with easy access to transport, accommodation, and the beautiful Waitematā Harbour.
Registration Fees
Registration for AISIR 2026 will open in late 2025. Preliminary fee tiers (in USD) are as follows:T
Category | Early Bird | Regular |
Faculty / Professional | 520 | 580 |
Student | 410 | 460 |
Contact
All questions about submissions or participation should be emailed to: AISIR2026 at easychair.org