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researcher

M. A. Cheema

10 papers hereh-index 292.8k citations170 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author9
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.DC3
  • cs.DB2
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.ET1

identity via Semantic Scholar / OpenAlex

works on
benchmarking 1edge computing 1energy efficiency 1model performance 1object detection 1

From the 1 of 10 linked papers with an AI index.

activity
20242026
most citedA Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.DCShow all

3 papers · 1 filter

cs.DC2026

Multi-Objective Load Balancing for Heterogeneous Edge-Based Object Detection Systems

Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +1

The rapid proliferation of the Internet of Things (IoT) and smart applications has led to a surge in data generated by distributed sensing devices. Edge computing is a mainstream a…

cs.DC2026

ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge

Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +2

Edge computing enables data processing closer to the source, significantly reducing latency, an essential requirement for real-time vision-based analytics such as object detection…

cs.DC2025

IntentContinuum: Using LLMs to Support Intent-Based Computing Across the Compute Continuum

Negin Akbari, John Grundy, Aamir Cheema +1

The increasing proliferation of IoT devices and AI applications has created a demand for scalable and efficient computing solutions, particularly for applications requiring real-ti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.