Alicia Esquivel Morel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
6
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | INFOCOM | Enhancing Drone Video Analytics Security Management using an AERPAW Testbed. | Alicia Esquivel Morel, Zack Murry, Kevin Kostage, Chengyi Qu, Prasad Calyam |
| 2023 | INFOCOM | Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. | Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman |
| 2023 | NOMS | Transmitting Information with Global-designation of Emergency Routes for Edge Video Processing. | Michael Miller, Anvitha Ramachandran, Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam |
| 2023 | NOMS | Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing. | Alicia Esquivel Morel, Ekincan Ufuktepe, Cameron Grant, Samuel Elfrink, Chengyi Qu, Prasad Calyam, Kannappan Palaniappan |
| 2023 | SC | AutoLearn: Learning in the Edge to Cloud Continuum. | Alicia Esquivel Morel, William Fowler, Kate Keahey, Kyle Zheng, Michael Sherman, Richard Anderson |
| 2022 | CCGRID | Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. | Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink |
| 2022 | INFOCOM | Learning-based Multi-Drone Network Edge Orchestration for Video Analytics. | Chengyi Qu, Rounak Singh, Alicia Esquivel Morel, Prasad Calyam |
| 2021 | CNSM | Obstacle-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response. | Chengyi Qu, Rounak Singh, Alicia Esquivel Morel, Francesco Betti Sorbelli, Prasad Calyam, Sajal K. Das |
| 2020 | Mobisys | DroneNet-Sim: a learning-based trace simulation framework for control networking in drone video analytics. | Chengyi Qu, Alicia Esquivel Morel, Drew Dahlquist, Prasad Calyam |