Rani Yadav-Ranjan

A bit about me

I'm passionate about ensuring AI is developed and deployed responsibly and ethically. I'm dedicated to shaping the future of AI governance through innovative solutions that address the challenges of bias, transparency, and accountability.

Speaking

Rani Yadav-Ranjan speaking
  • Panel on All things AI
  • Conversations with Entrepreneur Speakers Series - UC Merced
  • IEEE Entrepreneurship. More here
  • Guest lecturer at UC Merced and UC Berkeley in College of Engineering.

Start-ups

Startup ventures
  • AI Ethics Framework on Github
  • 4PIA: Sentiment Analysis on Social Media
  • Navigator Technology: Large Public Data aggregator of structured and unstructured data

Latest Patents

I am a seasoned AI expert with a deep understanding of the ethical implications of artificial intelligence. My research and advocacy work center around issues such as bias, privacy, and accountability. I am passionate about developing frameworks and strategies to ensure that AI is used for the benefit of society.

  • Method and Apparatus for Handling Network Parameter Recommendations (PCT/109625WO01)
  • Method to detect and resolve rApp conflicts using look-up tables (US 63/)
  • System and method for Merging Public and Private Blockchain Ledgers (US 63/440463)
  • Blockchain-enabled trusted Data Layer for AI Machine Learning model applications (US 63/309,986)
  • IoT Blockchain DDoS detection and countermeasures (US 63/307,519)
  • Intent-based networking, Cyberthreat detection, and DPI capabilities for encrypted flow (P104537)
  • Process and Method for conducting electronic transactions using Wireless and Cellular devices (US 8744963)
  • Global Text Messaging System and Method (US 8385897)

Publications

  • Forbes Women Innovators: Intrapreneur Or Entrepreneur
  • IoT Consortium November 2023 "Generative AI, 5G Network Slicing, and Blockchain Technology for Next-Generation Networks
  • Ericsson Blog 2023 "Artificial Intelligence vs Human Cognition: The Epic Battle of Think-Tanks"
  • IoT Consortium March 2022 "DDoS Attack Identification Utilizing Machine Learning in Circumstances Involving Hacked IoT Devices/Insider Assaults"
  • International Conference on IP/IoT & Processing + Optical Network (iPOP2022) "Artificial Intelligence Centric Intent-Based Networking"

Recognitions

  • Read into the United States Congressional Record by Rep. Garamendi for Leadership in and Contribution to AI & Blockchain, 2022
  • Listed as 10 Most Influential Women in Technology 2021 by Analytics Insights
  • Board of Directors, University of California, Merced Gallo Graduate School, 2021
  • Commendation from the City of San Jose on AI Innovation Leadership, 2019
  • Innovation Gold Medal Winner, IEEE & Pres. Obama White House for UC Merced, Mobile Innovation Challenge
  • Named "One of the 100 Most Influential Businesswomen in the Bay Area", Silicon Valley Business Journal
  • Chair of Technology Committee & Member C200.org
  • GEN AI Working Group & Technical Advisory Board, NIST
  • Voting Technical Board Member, Linux Foundation
  • Investment Advisor, Astia