SPEAKING EVENT: Control, Decision Making, and Optimization Methods for Autonomy and Adaptive Sensing
In this speaking event, sponsored by the IEEE Siouxland Section Computer Society, Dr. Shankarachary Ragi from South Dakota School of Mines and Technology in the Electrical Engineering Department will discuss real-time decision making and optimization methods for autonomous and adaptive sensing systems. Resource optimization and planning in these sensing systems often lead to high dimensional and complex optimization problems. Heuristic approaches to solve these problems in near real-time, with performance guarantees, will be discussed in the context of UAV motion planning, spectral co-existence of radar and communications systems, and radar code design.
Come join us at Wooden Legs Brewing Company for food, drinks, and an amazing talk! The talk will take place in the private event room connected to the Wooden Legs Taproom.
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Location
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- Date: 20 Feb 2020
- Time: 05:00 PM to 07:00 PM
- All times are US/Central
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- 309 5th St
- Brookings, South Dakota
- United States 57006
- Building: Wooden Legs Brewing Company
- Starts 03 February 2020 01:57 PM
- Ends 19 February 2020 11:57 PM
- All times are US/Central
- No Admission Charge
Speakers
Shankarachary Ragi of South Dakota School of Mines and Technology
Control, Decision Making, and Optimization Methods for Autonomy and Adaptive Sensing
Control, decision making, and optimal sensing for autonomous and adaptive sensing systems (e.g., UAVs and autonomous cars) has applications in target detection and tracking, surveillance, payload delivery, infrastructure inspection, and precision agriculture. In these problems, we face challenges such as solving nonlinear and non-convex optimization problems, uncertain and partial state information, and stochastic system dynamics. In this talk, I will present decision theoretic formulations, approximate dynamic programming methods for optimal motion planning and sensor fusion. Furthermore, I will present polynomial-time approaches for certain NP-hard problems in adaptive sensing, which help us in solving these sensing problems in near real-time.
Biography:
Dr. Shankarachary Ragi received his bachelor’s and master’s degrees in Electrical Engineering from Indian Institute of Technology Madras (IIT Chennai, India) in 2009. He earned his doctoral degree in Electrical and Computer Engineering from Colorado State University in 2014. After briefly working in industry post Ph.D., Ragi joined the mathematics department at Arizona State University in 2016 as a postdoctoral research associate. He is currently an assistant professor in Electrical Engineering department at South Dakota School of Mines and Technology. His research is primarily focused on optimal decision making, adaptive sensing, and data analytics. Dr. Ragi serves as an associate editor for IEEE Access. He a senior member of IEEE and a member of IEEE Aerospace & Electronics Systems Society.
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Agenda
5:00-5:45pm: Social and Networking
5:45-6:45pm: Talk and Q&A