Ivan Miguel Pires

About

Dr. Ivan Miguel Pires is a leading researcher at the intersection of Artificial Intelligence, the Internet of Things (IoT), and Enhanced Medical Systems, with a particular focus on Ambient Assisted Living (AAL) and healthcare technologies. His most impactful work includes a 2020 paper on AI for IoT and medical systems (71 citations) and the development of iAirBot, an assistive robot for indoor air quality monitoring that automatically triggers alerts via social networks—enabling caregivers to plan timely interventions for enhanced living environments (66 citations). Dr. Pires has also advanced motor function assessment through a systematic review on the Ten Meter Walk Test (10MWT), exploring how wearables and mobile devices can improve gait analysis for neuromuscular and neurodegenerative conditions. His recent research on multi-modal tracking using LiDAR and visual signals (2024) further demonstrates his commitment to cutting-edge sensing technologies. With a citation count exceeding 140 for his most-cited works, Dr. Pires is recognized for translating complex IoT and AI systems into practical tools that directly improve quality of life, particularly for aging populations and individuals with medical needs.

Research Focus

Key Achievements

Top Papers

1. 1
   Artificial Intelligence for Internet of Things and Enhanced Medical Systems

   71 citations · 2020
2. 2
   Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

   66 citations · 2019
3. 3
   Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review

   8 citations · 2025
4. 4
   Multi-Modal Tracking Using LiDAR and Visual Signals

   3 citations · 2024

Key Collaborators

Contact & Links