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IEEE ICASSP 2022 || Singapore || 7-13 May 2022 Virtual; 22-27 May 2022 In-Person

IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
IEP-17: Sensing in connected lighting systems for smart building applications
Fri, 13 May, 21:00 - 21:45 China Time (UTC +8)
Fri, 13 May, 13:00 - 13:45 UTC
Location: Gather Area P
Virtual
Gather.Town
Expert
Presented by: Ashish Pandharipande, NXP

Sensing technologies play an important role in realizing smart and sustainable buildings. Sensors of different modalities are increasingly being integrated into lighting systems that are ubiquitous in buildings. In this talk, the technical challenges in integrating sensors into a connected lighting system will be presented, along with the underlying signal processing problems in delivering sensing data to realize new and improved building applications. The presentation will cover the following topics: - Sensing-driven smart building applications: Lighting/HVAC controls, system monitoring and diagnostics, space management and user comfort/well-being; - Sensor system architectures and deployment aspects; - Sensor data analytics and machine learning based sensor data processing techniques. The presentation will provide a general overview of sensing in connected lighting and the enabled applications, while providing a flavor of the underlying data and signal processing opportunities.

Biography

Ashish Pandharipande is currently Lead Systems Engineer at NXP Semiconductors in Eindhoven, The Netherlands. Prior to that, he has held positions at Signify, Philips Research, and Samsung Advanced Institute of Technology. He also holds an adjunct position as Distinguished Research Associate at the Eindhoven University of Technology.

His research interests are in sensing, networked controls, data analytics, machine learning and system applications. He has more than 190 scientific publications in IEEE conferences and journals, and about 100 patents/filings, covering areas like IoT lighting, advanced sensing and control, data analytics and data-enabled services, machine learning, and cognitive wireless systems.

Ashish is a senior member of the IEEE. He is currently a topical editor (Sensor Data Processing Area) for IEEE Sensors Journal, senior editor for IEEE Signal Processing Letters, and former associate editor for Lighting Research & Technology Journal.

Ashish Pandharipande received the B.E. degree in Electronics and Communications Engineering from Osmania University, Hyderabad, India, in 1998, the M.S. degrees in Electrical and Computer Engineering, and Mathematics, and the Ph.D. degree in Electrical and Computer Engineering from the University of Iowa, Iowa City, in 2000, 2001 and 2002, respectively.