What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
Alex Mihailidis mainly focuses on Dementia, Artificial intelligence, Physical medicine and rehabilitation, Gerontology and Activities of daily living.
He works mostly in the field of Dementia, limiting it down to topics relating to Cognition and, in certain cases, Efficacy Study and Cognitive psychology.
He combines subjects such as Reliability, Human–computer interaction, Stance time and Computer vision with his study of Artificial intelligence.
His Physical medicine and rehabilitation study also includes fields such as
- Rehabilitation that intertwine with fields like Usability, Information processing and Psychological intervention,
- Physical therapy that intertwine with fields like Stroke, Task and Test.
His biological study deals with issues like Caregiver burden, which deal with fields such as Ambient intelligence.
His Activities of daily living study integrates concerns from other disciplines, such as Family caregivers and Markov process.
His most cited work include:
- A Survey on Ambient-Assisted Living Tools for Older Adults (703 citations)
- Assistive technology for cognitive rehabilitation: State of the art (282 citations)
- The COACH prompting system to assist older adults with dementia through handwashing: An efficacy study (247 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Dementia, Physical medicine and rehabilitation, Gerontology, Artificial intelligence and Activities of daily living.
His study looks at the intersection of Dementia and topics like Applied psychology with Perception and Affect.
His Physical medicine and rehabilitation research is multidisciplinary, incorporating elements of Rehabilitation, Physical therapy and Wheelchair.
The study incorporates disciplines such as Quality of life and Cognitive decline in addition to Gerontology.
The Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition.
His Activities of daily living study also includes
- Cognition that connect with fields like Task,
- Human–computer interaction and related Partially observable Markov decision process and Simulation.
He most often published in these fields:
- Dementia (35.79%)
- Physical medicine and rehabilitation (24.08%)
- Gerontology (23.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Dementia (35.79%)
- Physical medicine and rehabilitation (24.08%)
- Gerontology (23.08%)
In recent papers he was focusing on the following fields of study:
Alex Mihailidis spends much of his time researching Dementia, Physical medicine and rehabilitation, Gerontology, Applied psychology and Artificial intelligence.
He interconnects Family caregivers, Big data, Landmark and Set in the investigation of issues within Dementia.
His Physical medicine and rehabilitation research incorporates themes from Rehabilitation, Robot, HERO and Stroke.
In his work, App store is strongly intertwined with Activities of daily living, which is a subfield of Rehabilitation.
Alex Mihailidis studied Gerontology and Cognitive decline that intersect with Walking time.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Respiratory rate monitoring, Respiratory rate.
Between 2018 and 2021, his most popular works were:
- Technology and Dementia: The Future is Now. (25 citations)
- Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment (20 citations)
- Social Robots and Seniors: A Comparative Study on the Influence of Dynamic Social Features on Human–Robot Interaction (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Alex Mihailidis mainly investigates Dementia, Artificial intelligence, Physical medicine and rehabilitation, Gerontology and Landmark.
In Dementia, Alex Mihailidis works on issues like Big data, which are connected to Family caregivers and Set.
His Artificial intelligence research is multidisciplinary, incorporating elements of Social intelligence and Machine learning.
While the research belongs to areas of Physical medicine and rehabilitation, Alex Mihailidis spends his time largely on the problem of HERO, intersecting his research to questions surrounding Grip strength, Activities of daily living, Exoskeleton and Range of motion.
His biological study spans a wide range of topics, including Walking time and Cognitive decline.
His Landmark study integrates concerns from other disciplines, such as Cognitive psychology and Facial expression.
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