Malek Ayesh

Qatar University

Papers

3

Total Citations

50

H-Index

2

About

Malek Ayesh is a researcher at the intersection of assistive robotics, wearable sensing, and autism intervention. His primary research focuses on leveraging social robots and physiological sensors to detect and predict challenging behaviours in children with autism spectrum disorder (ASD). In his highly cited 2021 study (24 citations), Ayesh demonstrated the feasibility of using wearable sensors to identify atypical and challenging behaviours during human-robot interactions, providing a non-invasive tool for therapists and caregivers. Building on this, his 2023 work (24 citations) established heart rate as a reliable predictor of such behaviours, enabling proactive intervention during therapy sessions. These contributions have significant implications for improving the safety and efficacy of robot-assisted therapy for children with ASD. Beyond autism research, Ayesh has also explored environmental robotics, including a 2022 study on a partially submerged aquatic robot for waste detection and collection. His work bridges engineering and clinical practice, offering data-driven solutions to real-world challenges in healthcare and environmental sustainability. With a growing citation impact, Ayesh is shaping the future of socially assistive robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
50
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions
24 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Qatar University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago