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David Hilliard Williams Professional Summary

David Hilliard Williams is an internationally-known expert in the wireless/mobile location and Internet of Things (IoT) fields and President and Founder of E911-LBS Consulting. He specializes in wireless and IoT-based product and technology development and implementation, as well as Intellectual Property (IP)/patent and forensics litigation services involving technologies such as Global Positioning Satellite (GPS) systems; Network-based location determination technologies such as TDOA, ECID, and AFLT; Wireless 911 (E911) and Next Generation 911; Real-Time Location Systems (RTLS) including Radio Frequency Identification (RFID) systems, Wi-Fi-based positioning systems (WPS), BLE/Beacon-based location systems, Bluetooth, Near Field Communications (NFC), and alternative RTLS (Ultrasound, Infrared); Wearable Tags/Sensor tracking systems; Zigbee/Mesh networks; and various hybrids and combinations, as well as a broad array of IoT sensors and other systems, network, and technology enablers for management, monitoring, tracking, and control purposes, including in remote control/distributed ecosystems and associated use cases.
Mr. Williams is expert in the full range of business and consumer location-based services (LBS) and IoT applications enabled by these technologies, including safety, security, and intruder detection/monitoring, energy management, vehicle/fleet tracking/management, telematics, local search, navigation systems, presence/context-aware apps, mobile resource management, asset and freight management, wearable tags/sensors, financial/mobile wallet, mobile hospitality/POS systems, supply chain management, family tracking, mobile social and business networking, proximity-based entertainment and leisure, gaming, and intelligent transportation systems.

Mr. Williams has extensive expertise in all aspects of LBS and IoT delivery across the mobile and IoT ecosystems including enabling sensors, network communications, location determination technologies, geofencing design, map data, location data/database management, geospatial platform/Geographical Information Systems (GIS), GPS and other chipsets, data management, control system design, remote management/utilization of such control systems, and device, infrastructure and integration provider integration and management. Mr. Williams has developed and implemented industry-leading product and technology solutions for numerous LBS and IoT applications and markets and provides consulting and research services to some of the leading carriers and enterprises in the U.S., Asia, and Europe. His client list includes Apple, AT&T, BJs Wholesale Club, Draft Kings, FedEx, GE, GM, Geotab, Green Mountain Grill, Google, Heil, HP, the Houston Police Department, the L.A. County District Attorney’s Office, Lyft, Macropoint, Nextel, NAVTEQ, Overhead Door, Peschke, Qualcomm, Samsung, Snap, Sprint, Target, Tile, Toyota, Twilio, Uber, Verizon Wireless, VIVINT, Volkswagen, and Zillow.

Mr. Williams has successfully represented both plaintiffs/prosecutors and defendants in patent, ITC, and criminal/civil litigation (including assisting State and County Public Defender entities), as well as both sides of civil trade secrets, product liability, fraud, and other litigation. He has been deposed 70 times and has testified 13 times, including successfully in The Eastern District Court of Texas (winning both infringement and invalidity matters), and in winning in ITC Court and in international forums. In total he has provided expertise in matters involving over 200 patents and over 50 criminal and civil matters. His credentials in wireless/mobile/IT technologies are established to the 1980s. Mr. Williams is expert in smart location technology issues in the Internet of Things (IoT) and connected/driverless car fields, particularly in their utilization of sensor, location and context information through the practical envisioning and design of: consumer/enterprise use matters and associated application design, sensor design and deployment strategies; process (re)engineering; IT integration; data aggregation, segmentation, analysis, and management; scalability; and security and privacy issues, requirements, collaboration structures, and ongoing management. He is expert on Big Data issues associated with location and IoT data, and a leader in the emerging fields of machine learning/AI in the context, location, and digital forensics systems, processes and data.

With almost 40 years in location, networking/communications, control, and information technology solutions design, selection, implementation and ongoing management, Mr. Williams has extensive experience in the activities and issues needed to get applications to market, including planning and design at the application, system, interface/integration, network, IT, operational and customer facing levels. He has been published and quoted by leading magazines and newspapers about mobile services, including The New York Times, CBS News.com, The Columbus (Ohio) Dispatch, The Boston Globe, Computerworld, Directions Mag, Mission Critical Communications, Popular Mechanics, and RFID Journal.

Mr. Williams has authored five books on wireless location, including The Definitive Guide to IoT Sensors (In Development), The Definitive Guide to GPS, RFID, Wi-Fi, and Other Wireless Location-Based Services (two versions, with a third in progress), The Definitive Guide to Wireless E911, and (co-authored) The Definitive Guide to Mobile Positioning and Location Management. Mr. Williams has authored dozens of research reports, and tracks and analyzes leading companies in the LBS, IoT, and public safety industries particularly with respect to their product and technology strategies, competitive capabilities and implementation issues. He is expert on all public policy and technology issues related to emergency services/public safety, location data privacy and security, and LBS and IoT privacy protection policies, systems, and support infrastructure. He opines on user/customer privacy issues in various forums.

Mr. Williams has 9 patents involving context, location, networks, sensors, privacy, and machine learning/AI, with several more pending.