AISIR 2027: Auckland International Conference on Stroke and Intelligent Rehabilitation Grafton Auckland, New Zealand, February 15-17, 2027

AISIR 2027 is the second edition of the Auckland International Conference on Stroke and Intelligent Rehabilitation. Building on the successful inaugural conference in 2026, AISIR 2027 will continue to bring together researchers, clinicians, engineers, and industry partners to advance stroke care, intelligent rehabilitation, and health technology innovation.

AISIR 2027 will have a broader focus on stroke care, intelligent rehabilitation, AI and neuroimaging, and healthy ageing. The conference welcomes interdisciplinary work on prevention, diagnosis, recovery prediction, rehabilitation technologies, assistive systems, digital health, and inclusive models of care that aim to improve outcomes for people with neurological and ageing-related conditions.

Submission Guidelines

AISIR 2027 invites researchers, clinicians, engineers, and innovators to submit abstracts presenting original work related to stroke care, intelligent rehabilitation, AI and neuroimaging, and healthy ageing.

Only abstracts are required, with a maximum length of 400 words. Full papers are not required.

There will be no predefined categories for oral or poster presentations. Presentation formats will be decided based on the number and type of accepted submissions and will be announced after the review process.

Submissions will be reviewed based on relevance, innovation, and clarity.

List of Topics

We invite submissions in, but not limited to, the following areas:

Stroke care and recovery
Prevention, acute diagnosis, treatment pathways, recovery prediction, and long-term care.

Intelligent rehabilitation technologies
AR/VR therapy, robotics, brain-computer interfaces, gamified systems, and assistive technologies.

AI, machine learning, and neuroimaging
Lesion segmentation, outcome prediction, MRI, CT, DTI, fMRI, EEG, and multimodal data analysis.

Neuromodulation and brain stimulation
TMS, tDCS, transcranial ultrasound stimulation, and related methods.

Digital health and remote monitoring
Smart apps, LLM-driven tools, wearable sensors, IoT, and home-based rehabilitation systems.

Nursing and allied health innovation
Physiotherapy, occupational therapy, speech-language therapy, nursing, and interdisciplinary care models.

Healthy ageing and neurological rehabilitation
Rehabilitation for stroke, Parkinson’s disease, dementia, traumatic brain injury, frailty, falls prevention, and community-based care.

Human factors and patient engagement
Usability, accessibility, inclusive design, patient experience, and behavioural support in rehabilitation technologies.

Committees

Program Committee

• Argye Elizabeth Hillis， Johns Hopkins University, USA
• 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
• Eva Swinnen, Vrije Universiteit Brussel (VUB), Belgium

Organizing Committee

• Alan Wang, University of Auckland, New Zealand
• Ona Wu, Harvard Medical School and Massachusetts General Hospital, USA
• Nikolas Kasabov, Auckland University of Technology, New Zealand
• Suzanne H. S. Lo, The Chinese University of Hong Kong, Hong Kong SAR
• Sibusiso Mdletshe, University of Auckland, New Zealand
• Catherine Shi, Auckland University of Technology, New Zealand
• Duyan Geng, Hebei University of Technology, China
• Hongshuo Guo, National University of Singapore, Singapore
• Fangrong Zong, Beijing University of Posts and Telecommunications, China

Invited Speakers

• Professor Argye Elizabeth Hillis, Department of Neurology, School of Medicine; Sheikh Khalifa Stroke Institute, Johns Hopkins University, USA.
• Professor Martin Edwards, Faculty of Psychology and Educational Sciences; Institute of Neuroscience, Université catholique de Louvain, Belgium.
• Professor Ona Wu, Department of Radiology, Harvard Medical School; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, USA.
• Professor Monika Harvey, School of Psychology and Neuroscience, University of Glasgow, UK.
  Professor David J. Lin, Department of Neurology, Harvard Medical School; Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, USA.
• Professor Nikolas Kasabov, School of Engineering, Computer and Mathematical Sciences; Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand.
• Professor Suzanne H. S. Lo, The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
• Professor Fangrong Zong, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China.
• Professor Eva Swinnen, Rehabilitation Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Belgium.
• ...

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.

Awards

AISIR 2027 will recognise outstanding contributions with Best Paper awards. Winners will receive certificates in recognition of excellence, innovation, and impact in stroke and intelligent rehabilitation research.

Registration Fees

The registration fees (in USD) are listed below. Please note that early bird registration closes on 30 January 2027.

Contact

All questions about submissions or participation should be emailed to: AISIR2027 at easychair.org