◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Najjaran

28 papers hereh-index 345.6k citations220 works total

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

author position
  • last author28

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.RO6
  • cs.LG5
  • cs.AI3
  • cs.GR2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedDeep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

49 citations · 215 across the 27 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2024★ 2 cited

A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)

Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond +4

Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transfor…

cs.AI2024★ 1 cited

A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling

Maziyar Khadivi, Mostafa Abbasi, Todd Charter +1

This paper addresses a production scheduling problem derived from an industrial use case, focusing on unrelated parallel machine scheduling with the personnel availability constrai…

cs.AI2023★ 47 cited

Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding

Jaehoon Chung, Jamil Fayyad, Younes Al Younes +1

Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems. The increasing complexity of M…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.