Consumer Centered Indoor Air Quality Intelligent system
Dr. Jatin Khanpara
Sr. Vice President
AprilAire. US
Speaker Bio
Dr. Jatin Khanpara is currently Sr. Vice President, Engineering & Technology, AprilAire. US. He leads Technology for products & acquisitions, Government relations & regulations, AI and multiple strategies. Prior to this assignment, Jatin was Chief Technology Advisor for Research Products supporting AprilAire, Anden, Dristeem and RP brands.
Jatin brings deep experience in Technical, Product Management, Innovation and Business area having held senior-level roles with Whirlpool, Carrier, and Fiskars. During his long career, he has held global leadership roles in Product Creation, Technology, Product Management, Innovation, Change Management, Business Strategy, P&L, Business Growth & Turnaround, Risk Management and building High Performance Teams for consumer and commercial industries.
Dr. Khanpara holds a Ph.D. in Mechanical Engineering from Iowa State University and an M.S. from Bradley University. He has also earned executive credentials from the Kellogg School of Management and Chicago Booth. In addition, he serves as a member of the WFI Advisory Board.
Presentation time
December 3, 2025
10:40 am - 10:55am EST
Abstract
Indoor air quality (IAQ) has emerged as a critical concern for consumers, especially post COVID, and is now enhanced with wildfires in the US and Canada. This shift has catalyzed demand for smart, personalized IAQ solutions that not only monitor but actively manage air quality in homes and shared spaces. Drawing from consumer research and market insights, the Air Quality Intelligent system incorporates a network of sensors to monitor key pollutants—such as PM2.5, VOCs, CO₂, humidity, etc. and uses machine learning algorithms to optimize IAQ equipment performance. The IAQ intelligent system is built upon the architecture that provides dynamic adjustment of air quality parameters until a desired Air Quality Index (AQI) is achieved.
Additionally, consumer preferences emphasize simplicity, transparency, and actionable insights. Consumers also value proactive guidance—such as alerts for high VOC levels or recommendations to mitigate pollutant situation. The system’s intelligence may further enhanced by its ability to learn from user behavior, environmental conditions, and historical data, enabling predictive maintenance and energy-efficient operation.
Leveraging sensors, machine learning, and proactive guidance of pollutants, the Healthy Air Intelligent system provides the consumer the tools that will deliver healthy air to their homes.