IEEE VTS Distinguished Lecturer Program - AI and ML in Airspace

#AI #ML #airmobility
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Uncrewed air transportation is expected to become a reality in the near future.  Around the world, aviation authorities are working closely with the industry to bring Advanced Air Mobility (AAM) services such as air taxis and air ambulances to urban and rural areas. The federal aviation administration (FAA) in the United States published an implementation plan, referred to as “Innovate28” providing the steps it and others will need to take to safely enable AAM operations in the near term. This plan includes various components and the sequence they will occur in for operations to be at scale at one or more sites by 2028.

AAM aircraft fly autonomously using sensors, cloud data, and interactions with their environment including other aircraft and human operators. Sensing, computation, control, and communication elements form the core components of unmanned air transportation. Path planning, maneuvering around potential hazards, and negotiations with other aircraft to avoid collisions are some of the actions that AAM aircraft are expected to perform.  This presentation explores the potential ways exploring AI and ML in airspace operations.



  Date and Time

  Location

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  • Date: 07 Jun 2024
  • Time: 01:30 PM to 03:00 PM
  • All times are (UTC+08:00) Singapore
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  • Institute for Infocomm Research, A*STAR
  • 1 Fusionopolis Way
  • Singapore, Singapore
  • Singapore 138632
  • Building: Connexis South Tower
  • Room Number: Franklin Room, Level 11

  • Contact Event Host


  Speakers

Prof Kamesh Namuduri of University of North Texas (UNT)

Topic:

AI and ML in Airspace Operations

AAM aircraft fly autonomously using sensors, cloud data, and interactions with their environment including other aircraft and human operators. Sensing, computation, control, and communication elements form the core components of unmanned air transportation. Path planning, maneuvering around potential hazards, and negotiations with other aircraft to avoid collisions are some of the actions that AAM aircraft are expected to perform.  This presentation explores the potential ways exploring AI and ML in airspace operations.

Biography:

Kamesh Namuduri is a Professor of Electrical Engineering and the Director of Autonomous Systems Laboratory at the University of North Texas (UNT). He received his B.S. degree in Electronics and Communication Engineering from Osmania University, India, in 1984, M.S. degree in Computer Science from University of Hyderabad in 1986, and Ph.D. degree in Computer Science and Engineering from University of South Florida in 1992.  Over the past eleven years, his research is focused on aerial networking and communications. He is serving as the chair for two Standards Working Groups (IEEE 1920.1: Aerial Communications and Networking and IEEE P1920.2: Vehicle-to-Vehicle Communications for Unmanned Aircraft Systems). He served as the Chair for the IEEE Vehicular Technology Society’s Ad Hoc Committee on Drones, as the Vice Chair for “Aerial Communications”, an emerging technology initiative of the IEEE Communication Society, and as an Expert Adviser on UAVs, COM/Access Core Standards Committee, IEEE Communications Society. He is a co-editor for the book titled “UAV Networks and Communications” published by the Cambridge University Press in 2017. He is leading the Smart and Connected Community project on “Deployable Communication Systems” in collaboration with the government, public, and private organizations. This living laboratory project was demonstrated thrice during the Global City Teams Challenge hosted jointly by the National Institute of Standards and Technology and US Ignite in 2015, 2016, 2017, and 2018. He contributed to the development of research agenda, requirements and blueprints highly deployable communications systems led by the National Institute of Standards and Technology and National Public Safety Telecommunications Council. Since 2020, Namuduri is serving as an academic lead to a team of fifteen organizations including three universities and four start-up companies engaging as an airspace partner in the Advanced Air Mobility, National Campaign. For the 2021-2023 and 2023-2025 terms, Namuduri is named as a Distinguished Lecturer of the IEEE Vehicular Technology Society. Namuduri has been organizing a webinar series on Advanced Air Mobility, which can be accessed via IEEE VTS knowledge portal:

https://vtsociety.org/membership/education/ieee-knowledge-portal-sponsored-vts.