Douglas S. Chan

President and Co-Founder
Cayuga Wireless LLC

Email: dsc [ at ] douglaschan [ dot ] com


Biographical Sketch

Douglas S. Chan received from Cornell University his Ph.D. degree in electrical and computer engineering (ECE) and M.Eng. degree in electrical engineering (EE). He received his B.Sc. degree in EE from Queen's University in Canada.

Doug is President of Cayuga Wireless, an Wi-Fi technologies company that he co-founded in 2017. He had also been CEO and founder of Zenalyst, an artificial intelligence-driven financial analytics service, between 2016 to 2023.

From 2014-2017, Doug was a Visiting Researcher Scholar with the Dept. of Electrical Engineering and Computer Science at University of California, Berkeley, where he was with the Swarm Lab and Berkeley Wireless Research Center. Prior to that (2006-2014), he was a Technical Leader at Cisco Systems' Wireless Networking Business Unit and his work included R&D on Wi-Fi products and their standardizations. Later at Cisco, Doug was with Cisco Advanced Architecture and Research and investigated emerging paradigms like fog computing, data analytics, and Internet of Things. Before Cornell (1998-2000), he was a Software Engineer with the IBM Toronto Lab, where he developed enterprise-scaled applications for database access and distributed computing.

Doug is a Senior Member of IEEE and a licensed professional engineer (P.Eng.) of Ontario, Canada. He has received recognitions from the IEEE Standards Association on his contributions to the 802.11n and 802.11y wireless LAN standards.


Research Areas

  • Multiple access in communication networks
    • Multiaccess theory and multiuser information theory
    • Radio resource management for wireless systems
  • Physical layer techniques for wireless channels
    • MIMO-OFDM-based physical layers
    • Single-user and multi-user MIMO beamforming
  • Industry standards for WPANs, WLANs and WMANs
    • IEEE 802 and mobile cellular standards
  • Data analytics and machine learning
    • Artificial neural networks modeling
    • Explainable machine learning
  • Financial markets modeling
  • Video source encoding and compression
    • Wireless video on mobile devices
    • Video quality assessment
  • Applications of network coding and rateless codes

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Online since 03/15/2000. Last updated on 10/17/2024.