Marco Brocanelli
Computer Science · The Ohio State University
Publications
47
Citations
341
Est. group size
—
Recurring co-author estimate
Active years
15
Publishing since 2012
Marco Brocanelli works on making mobile and edge computing systems more energy-efficient and responsive, including battery management for robots and mobile devices, augmented reality apps that offload AI tasks to nearby edge servers, and task allocation algorithms for edge computing networks. Recent work also extends into applying vision-language AI models and image segmentation to problems like pedestrian navigation and mapping mobility infrastructure. This research combines systems engineering with practical machine learning applications aimed at improving performance on resource-constrained devices.
Publication output has grown from a low base earlier in the decade to a steadier, higher output of roughly 5 papers per year over the last five years, with a peak in 2022.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Speeding‐Up Graph Algorithms via Clique Partitioning
Networks · 2026
- WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation
arXiv (Cornell University) · 2026
- WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation
arXiv (Cornell University) · 2026
- Lightweight Detection of Abnormal Battery Drain Induced by Network Operations of Mobile Apps
2026
- GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
Frontiers in artificial intelligence and applications · 2025
- Rethinking Energy Management for Autonomous Ground Robots on a Budget
arXiv (Cornell University) · 2025
- An Edge-Based Reinforcement Learning Approach for Augmented Reality Apps in Dynamic Contexts
2025
- Offloading-Aware Control of AI Task Allocation and Virtual Object Quality in MAR Apps
IEEE Transactions on Mobile Computing · 2025
- Algorithms for Data Sharing-Aware Task Allocation in Edge Computing Systems
IEEE Transactions on Parallel and Distributed Systems · 2024
- Joint AI Task Allocation and Virtual Object Quality Manipulation for Improved MAR App Performance
2024
- Trading Virtual Objects Quality for AI Performance in Mobile Augmented Reality Apps
2024
- A Battery Lifespan-Aware Protocol for LPWAN
2024
- GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
arXiv (Cornell University) · 2023
- eAR: An Edge-Assisted and Energy-Efficient Mobile Augmented Reality Framework
IEEE Transactions on Mobile Computing · 2022
- Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022
- arXiv (Cornell University)×7
- IEEE Transactions on Mobile Computing×5
- IEEE Transactions on Sustainable Computing×2
- Frontiers in artificial intelligence and applications×1
- IEEE Transactions on Parallel and Distributed Systems×1
- Yuan‐Yao Lou
Computer Science · Purdue University West Lafayette
- Wei Li
Computer Science · Purdue University West Lafayette
- Jiayuan Chen
Computer Science · The Ohio State University
- Farrukh Arslan
Computer Science · Purdue University West Lafayette
- Xinghan Wang
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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