Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Jenna M. Kline, Austin O'Quinn, Tanya Berger-Wolf and Christopher Stewart
ACM/IEEE Symposium on Edge Computing - SEC 2024
A Framework for Autonomic Computing for In Situ Imageomics
Jenna M. Kline, Christopher Stewart, Tanya Berger-Wolf, Michelle Ramirez,
Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam,
Elizabeth Campolongo, Matthew Thompson, Charles V. Stewart and Maksim Kholiavchenko,
Daniel I. Rubenstein. Nina Van Tiel, and Jackson Miliko
4th IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2023
[Paper]
[Code]
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs)
Jenna M. Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Berger-Wolf, Charles V. Stewart, and Christopher Stewart
AAAI 2024, Workshop on Imageomics: Discovering Biological Knowledge from Images using AI
[Paper]
[Data]
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos
Maksim Kholiavchenko, Jenna M. Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Berger-Wolf, Daniel Rubenstein, Charles Stewart
WACV 2024, CV4Smalls Workshop
[Paper]
[Project Page]
[Data]
Decentralized Multi-Drone Coordination for Wildlife Video Acquisition
Denys Grushchak, Jenna Kline, Danilo Pianini, Nicolas Farabegoli,
Gianluca Aguzzi, Martina Baiardi, and Christopher Stewart
5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2024
Best Poster Award
[Slides]
[GitHub Repo]
[Zenodo Repo]
An Agent-based Model of Directional Multi-herds
Denys Grushchak, Jenna Kline, Danilo Pianini, Nicolas Farabegoli
Workshop on Self-Improving System Integration - SISSY 2024, colocated with ACSOS 2024
[Slides]
[Data]
[Experiments]
Drone Swarms for Animal Monitoring: A Method for Collecting High-Quality Multi-Perspective Data
Edouard Rolland, Kasper Andreas Rømer Grøntved, Lucie Laporte-Devylder, Jenna M Kline, Anders Christensen, and Ulrik Pagh Schultz Lundquist
The 15th Annual International Micro Air Vehicle (IMAV) Conference, Bristol, UK, 2024.
[Paper]
Invited Talks & Presentations
Individual Identification of Zebras with Autonomous UAV Swarms
Won first prize for Best Poster Award at the Translational Data Analytics Interdisciplinary Research Fall Forum 2024 in Columbus, OH.Poster presenter at the 2023 Grad Cohort Workshop for Women (CRA-WP) in San Francisco, CA.
PhD Forum Talk: An Adaptive Autonomous Aerial System for Dynamic Field Animal Ecology Studies
Talk at 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2024. [Slides]Autonomous Drones for Collective Wildlife Behavior
Invited lecture for WildDrone Seminar Series (Virtual). [Slides]Intelligent Cyberinfrastructure for Remote Sensing with Autonomous Aerial Robotics: Applications in Animal Ecology and Digital Agriculture
Poster presenter at Translational Data Analytics Interdisciplinary Research Fall Forum 2023 in Columbus, OH.Charting the Future of Harnessing Data Revolution (HDR) Ecosystem: Crafting a Collaborative Research Agenda
Session presenter at the 2023 NSF HDR Ecosystem Conference in Denver, CO.Interdisciplinary Applications of Autonomous Unmanned Aerial Vehicles (AUAVs): A Case Study for Capturing the Behavior of Kenyan Wildlife
Poster presenter at the 2023 STARS Celebration, co-located with Tapia Conference in Dallas, TX.Interdisciplinary Applications for Autonomous Unmanned Aerial Vehicles
Speaker at the Ohio Celebration of Women in Computing 2023 in Huron, OH.PhD Forum Talk: Edge Computing for Software-Defined Cartography
Talk at ACM/IEEE Symposium on Edge Computing (SEC 2022) in Seattle, WA.Teaching
Data Management in the Cloud (CSE 3244)
Teaching Assistant, Autumn 2022Lecture topics include systematic organization of data on cloud computing architectures, basic indexing techniques, including B-tree and hash-based indexing, fundamentals of query optimization, including access path selection and cardinality estimation, full and partial replication and data partitioning and distributed task scheduling.
Modeling and Problem Solving with Spreadsheets and Databases (CSE 2111)
Lab Instructor, Autumn 2021 & Spring 2022Lecture topics include systematic organization of data on cloud computing architectures, basic indexing techniques, including B-tree and hash-based indexing, fundamentals of query optimization, including access path selection and cardinality estimation, full and partial replication and data partitioning and distributed task scheduling.
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