AI driven dynamic path planning in mobile sensors (FCT Nova)
You are invited to participate in this joint event of IEEE ComSoc PT Chapter, IEEE Computer PT Chapter and IEEE VTS PT Chapter, held at NOVA FCT, Universidade Nova de Lisboa, Caparica, Portugal.
Collecting environmental information with mobile sensors had been one of the focus areas of the mobile computing community for several decades. In the last five years, however, two major developments brought new perspectives to the field. The significant decrease in the cost and wide availability of drones made them the default technology in mobile sensing. At the same time, significant developments in artificial intelligence brought new tools into the toolkit of researchers allowing models that use predictive models to react more dynamically to changes in the environment and real-time results of sensing.
In this talk, I describe an algorithm that is a good example of the new generation of algorithms enabled by the AI revolution. Confidence Guided Path-planning (CGP) has the goal of increasing the confidence in the accuracy of the estimated model at any time point in the data collection process. The approach employs a local estimator based on a Gaussian process regressor and takes advantage of the uncertainty estimation to guide the sensor to areas of lower confidence. In an experimental study comparing CGP with systematic lawnmower-type exploration and random waypoint movement, we found that CGP achieves better scores than both during most of the exploration process, being outperformed only by a fully completed systematic exploration.
Date and Time
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- NOVA FCT, Universidade Nova de Lisboa
- Caparica, Lisboa
- Portugal 2829-516
- Building: Biblioteca
- Room Number: Auditório
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- Co-sponsored by FCT NOVA, Universidade Nova de Lisboa
- Starts 13 March 2026 12:00 AM UTC
- Ends 19 March 2026 03:00 PM UTC
- No Admission Charge
Speakers
Damla Turgut of University of Central Florida
AI driven dynamic path planning in mobile sensors
A joint event of the IEEE ComSoc PT Chapter, IEEE Computer PT Chapter, and IEEE VTS PT Chapter.
Biography:
Damla Turgut is Pegasus Professor and Chair of Computer Science at the University of Central Florida (UCF). She is the co-director of the AI Things Laboratory. She held visiting researcher positions at the University of Rome ``La Sapienza'', Imperial College of London, and KTH Royal Institute of Technology, Sweden. Her research interests include wireless ad hoc, sensor, underwater, vehicular, and social networks, edge/cloud computing, smart cities, smart grids, IoT-enabled healthcare and augmented reality, as well as considerations of privacy in the Internet of Things. Dr. Turgut serves on several editorial boards and program committees of prestigious ACM and IEEE journals and conferences. Her most recent honors include Pegasus Professorship in 2024, NCWIT 2021 Mentoring Award for Undergraduate Research (MAUR), the UCF Research Incentive Award, and the UCF Women of Distinction Award. Since 2019, she serves as the N2Women Board Co-Chair where she co-leads the activities of the N2Women Board in supporting female researchers in the fields of networking and communications. Dr. Turgut is an IEEE ComSoc Distinguished Lecturer, IEEE ComSoC Women in Engineering (WIE) Distinguished Lecturer, ACM and IEEE Senior Member, the Chair of the Technical Activities Committee (TAC) in 2026, the Chair of the IEEE Technical Community on Computer Communications (TCCC) since 2022. She is IEEE Computer Society Board of Governors Member (2025-2027).
Email:
Address:University of Central Florida, 4328 Scorpius St., Building 116, Room 246, Orlando, Florida, United States, 32816
Agenda
10:30 Damla Turgut, AI driven dynamic path planning in mobile sensors