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Control-fluidic CoDesign for paper-based digital microfluidic biochips., , , , , , , , , and . ICCAD, page 103. ACM, (2016)Overview of 2020 CAD Contest at ICCAD., , , and . ICCAD, page 67:1-67:3. IEEE, (2020)Performance and accuracy in soft-error resilience evaluation using the multi-level processor simulator ETISS-ML., , and . ICCAD, page 127. ACM, (2018)Reliability-Aware Synthesis With Dynamic Device Mapping and Fluid Routing for Flow-Based Microfluidic Biochips., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (12): 1981-1994 (2016)GAT-based Concentration Prediction for Random Microfluidic Mixers with Multiple Input Flow Rates., , , , and . ACM Great Lakes Symposium on VLSI, page 483-488. ACM, (2023)Reliable and Robust RRAM-based Neuromorphic Computing., , , , , , , , and . ACM Great Lakes Symposium on VLSI, page 33-38. ACM, (2020)Machine Learning based Performance Prediction of Microcontrollers using Speed Monitors., , , , , and . ITC, page 1-5. IEEE, (2020)GNN-based concentration prediction for random microfluidic mixers., , , , , and . DAC, page 763-768. ACM, (2022)Maximizing the Communication Parallelism for Wavelength-Routed Optical Networks-On-Chips., , , and . ASP-DAC, page 109-114. IEEE, (2020)Current source modeling for power and timing analysis at different supply voltages., , and . DATE, page 923-928. IEEE, (2012)