Autonomy in Airspace
This is a Distinguished Lecture by Professor Kamesh Namuduri from University of North Texas, USA, jointly hosted by VTS chapters of IEEE New Zealand North, New South Wales, and Victorian Sections. The lecture is organised as a hybrid event. Interested participants in Auckland central are highly encouraged to attend the event in person.
Date and Time
Location
Hosts
Registration
- Date: 27 May 2024
- Time: 11:30 AM to 12:30 PM
- All times are (UTC+12:00) Auckland
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- 6 St Paul Street, AUT City Campus
- WZ Building, Level 5, Room 502
- Auckland, North Island
- New Zealand 1010
- Click here for Map
- Starts 12 May 2024 12:00 PM
- Ends 27 May 2024 11:30 AM
- All times are (UTC+12:00) Auckland
- No Admission Charge
- Menu: IEEE Member, Non-IEEE Member
Speakers
Professor Kamesh Namuduri of University of North Texas
Autonomy in Airspace
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. Imagine yourself taking a short ride lasting for 30 minutes in an Uncrewed Aircraft System (UAS) or air taxi. From takeoff to landing, what are the various operations that take place in the airspace? This presentation takes you through a virtual ride and outlines these airspace operations and how these operations are automated. Of particular importance is the rerouting of aircraft due to sudden weather development. In this seminar, the speaker will present in detail the concepts of autonomy in airspace based on the experience gained from a live demonstration that was held on October 11th, 2022, in Dallas-Fort Worth metroplex, USA.
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.
Email:
Address:University of North Texas, Department of Electrical Engineering, Denton, Texas 76201, United States