Integrating IoT and AI for Indoor Air Quality Assessment

Jagriti Saini was born in Himachal Pradesh, district Mandi in 1992. She holds a Diploma in Electronics and Communication Engineering (2010) from GPW Kandaghat and completed her B. Tech in Electronics and Communication Engineering (2013) from HPU. She received a Master's Degree in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University), India (2017). She was awarded a Gold Medal for securing the highest percentile in the entire university during her Master's Degree. Jagriti is currently pursuing her Ph.D. in Electronics and Communication Engineering from the National Institute of Technical Teacher's Training and Research (NITTTR), Chandigarh (Panjab University). She is also receiving an INSPIRE fellowship from the Department of Science and Technology (DST), India for carrying out her research work. Her current research interests include Artificial Intelligence, Internet of Things, Environmental Monitoring, Indoor Air Quality Monitoring and Prediction, Healthcare Systems, e-Health, and Autonomous Systems. Her Ph.D. thesis entitled "Design and Development of Intelligent Indoor Air Quality Monitoring and Prediction System - Vayuveda" is mainly focused on developing cost-effective real-time monitoring and prediction system for indoor air quality management. She published more than 20 research papers in reputed journals regarding indoor air quality monitoring and prediction systems based on the Internet of Things and Artificial Intelligence.

Introduction.- A Comprehensive Review on The Indoor Air Pollution Problem, Challenges, and Critical Viewpoints.- Bioaerosols An Unavoidable Indoor Air Pollutant that Deteriorate Indoor Air Quality.- How Indoor Air Quality Assessments Can Promote Health and Prevent Diseases.- Recent Computer-Aided Advances for Indoor Air Pollution Management.- Biomonitoring Indoor Air of Buildings.- Modern Solutions for Indoor Air Quality Management in Commercial and Residential Spaces.- A Review on Current Developments of IoT Strategies for Climate Adaptive Building Shells.- IoT Enabled Building Ventilation for Indoor Air Quality Improvement.- Indoor Air Quality Improvement Device.- Online Monitoring of Indoor Air Quality and Thermal Comfort using a Distributed Sensor Based Fuzzy-Decision Tree Model.- Health Risk Assessment Associated with Air Pollution through Technological Interventions.- Conclusion.