D. Decesare

Utah State University

Papers

3

Total Citations

8

H-Index

2

About

D. Decesare is a researcher whose work sits at the intersection of evolutionary computation, hardware engineering, and artificial intelligence, with a particular focus on evolvable hardware systems. Decesare's most notable contributions center on the CAM-Brain Machine (CBM), a specialized programmable hardware platform that leverages Xilinx XC6264 FPGA chips to physically evolve and grow artificial neural structures — a remarkable departure from conventional software simulation approaches. By conducting evolution experiments directly on the hardware itself, Decesare's research demonstrated the practical feasibility of growing brain-like computational architectures in silicon, pushing the boundaries of what was then a nascent field. Published in the early 2000s, Decesare's papers represent some of the first empirical investigations into evolvability on actual CBM hardware, providing the research community with grounded, experimental data rather than theoretical projections. Works such as "Initial evolvability experiments on the CAM-brain machines" and "Early experiments on the CAM-Brain Machine" collectively earned citations that, while modest in number, reflect a specialized and technically demanding niche. Decesare's contributions offered foundational insights into hardware-based neuroevolution, helping to pave the way for future explorations in evolvable and neuromorphic computing systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
8
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Initial evolvability experiments on the CAM-brain machines (CBMs)
3 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Utah State University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago