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researcher

M. Schranz

4 papers hereh-index 131.2k citations87 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.MA1
same name
  • M. Schranz — 1 paper, h 4
  • M. Schranz — 1 paper, h 37

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedEngineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench

8 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

Khalil Al-Rahman Youssefi, Marija Gojkovic, Walter Stefanutti +2

This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV) charging systems under configurable infrastructure and o…

cs.AI2025

Flocking Behavior: An Innovative Inspiration for the Optimization of Production Plants

M. Umlauft, M. Schranz

Optimizing modern production plants using the job-shop principle is a known hard problem. For very large plants, like semiconductor fabs, the problem becomes unsolvable on a plant-…

cs.AI2025

LLM-Powered Swarms: A New Frontier or a Conceptual Stretch?

Muhammad Atta Ur Rahman, Melanie Schranz, Samira Hayat

Swarm intelligence describes how simple, decentralized agents can collectively produce complex behaviors. Recently, the concept of swarming has been extended to large language mode…

cs.MA2021★ 8 cited

Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench

Micha Sende, Melanie Schranz, Gianluca Prato +3

Engineering swarms of cyber-physical systems (CPSs) is a complex process. We present the CPSwarm workbench that creates an automated design workflow to ease this process. This form…

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