Papers

7

Total Citations

62

H-Index

6

About

Edward Szczerbicki is a pioneering researcher in the intersection of artificial intelligence, knowledge engineering, and smart manufacturing. His work centers on developing intelligent systems that can acquire, formalize, and share knowledge autonomously, particularly within the Internet of Things/Internet of Data (IoT/IoD) paradigm. A major contribution is the creation of Decisional DNA, a novel, domain-independent knowledge representation structure that captures and reuses experiential knowledge, with impactful applications in robotics and autonomous agents. His most cited work, "Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario" (25 citations), addresses critical challenges in computer-integrated manufacturing, while his foundational research on knowledge acquisition for autonomous cooperating agents (1993, 7 citations) and decision trees for reasoning (1996, 6 citations) has shaped the field. Szczerbicki has also explored cognitive vision for hazard control and signed directed graphs for multi-agent systems. His Decisional DNA framework, tested in robotics, represents a notable achievement in enabling machines to learn from experience, demonstrating significant potential for advancing autonomous, knowledge-driven manufacturing and intelligent systems.

Research Focus

Key Achievements

6
H-Index
7
Papers
62
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
25 citations · 2018
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Gdańsk University of Technology, University of Iowa, University of Newcastle Australia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 23 days ago