activity
20242026
collaborators

7 papers

cs.RO2026

A Browser-Native Digital Test Range for Benchmarking 4D Ocean-Glider Planning Algorithms

Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi

Repeated in-situ evaluation of ocean-glider planners requires scarce vehicles, operators, deployment and recovery resources, and ocean conditions that cannot be reset for competing…

cs.CV2026

VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification

Md Meftahul Ferdaus, Elias Ioup, Mahdi Abdelguerfi +4

Deploying deep learning models on embedded devices for tasks such as aerial disaster monitoring and infrastructure inspection requires architectures that balance accuracy with stri…

physics.ao-ph2025

A Comprehensive Review of Phase-Averaged and Phase-Resolving Wave Models for Coastal Modeling Applications

Md Meftahul Ferdaus, Nathan Alton Cooper, Austin B. Schmidt +4

Predicting ocean wave behavior is challenging due to the difficulty in choosing suitable numerical models among many with varying capabilities. This review examines the development…

cs.AI2025

A Knowledge-Graph Translation Layer for Mission-Aware Multi-Agent Path Planning in Spatiotemporal Dynamics

Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi

The coordination of autonomous agents in dynamic environments is hampered by the semantic gap between high-level mission objectives and low-level planner inputs. To address this, w…

cs.LG2025

Physics-Informed Neural Network Surrogate Models for River Stage Prediction

Maximilian Zoch, Edward Holmberg, Pujan Pokhrel +8

This work investigates the feasibility of using Physics-Informed Neural Networks (PINNs) as surrogate models for river stage prediction, aiming to reduce computational cost while m…

cs.MA2024

Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR

Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi

This paper addresses the challenge of multi-agent path planning for efficient data collection in dynamic, uncertain environments, exemplified by autonomous underwater vehicles (AUV…