Papers

3

Total Citations

30

H-Index

3

About

Dr. Faisal Aqlan is a leading researcher at the intersection of advanced manufacturing, data engineering, and emerging digital technologies. His work is defined by a commitment to making industrial systems smarter, more efficient, and more predictable. Dr. Aqlan’s foundational contributions include developing stochastic models, such as Markov chain-based approaches, to analyze and optimize the performance of flexible manufacturing cells—work that has garnered over 15 citations and remains a key reference in production systems engineering. He has also made significant strides in the data infrastructure of modern industry, authoring a highly cited systematic literature review on Big Data ETL (Extract, Transform, Load) implementation approaches, which synthesized 97 studies to guide the integration of data warehousing and business intelligence. More recently, Dr. Aqlan is pioneering the future of manufacturing through his visionary research on the “Smart Manufacturing Metaverse,” where he explores the convergence of digital twinning, artificial intelligence, and extended reality (VR, AR, MR). This forward-looking work, already attracting citations, positions him at the forefront of creating immersive, data-driven environments for next-generation industrial operations.

Research Focus

Key Achievements

3
H-Index
3
Papers
30
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Multimachine Flexible Manufacturing Cell Analysis Using a Markov Chain-Based Approach
15 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Pennsylvania State University, Gannon University, Eastern Kentucky University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago