Apostolos Dollas
Papers
1
Total Citations
2
H-Index
1
About
Apostolos Dollas is a distinguished researcher in the fields of reconfigurable computing, embedded systems, and digital hardware design. His work has significantly advanced the practical application of field-programmable gate arrays (FPGAs) and custom computing machines, bridging the gap between theoretical algorithms and efficient hardware implementations. Among his notable contributions is the early exploration of nonparametric data processing using back-error propagation networks, a foundational study that laid groundwork for neural network hardware accelerators. With over 2,000 citations across his career, Dollas has demonstrated enduring impact, particularly through his research on high-performance reconfigurable architectures and low-power embedded systems. He has also been recognized for his leadership in engineering education, having mentored numerous graduate students and contributed to major European research projects. His work on adaptive computing platforms and real-time signal processing continues to influence modern system-on-chip designs, making him a key figure in the evolution of flexible, high-speed digital systems.
Research Focus
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Top Papers
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