Lucius Vo

Lucius Vo

Doctoral Candidate|Data Scientist

Publications

SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems

Published in 2024 IEEE International Conference on Big Data (BigData), 2024

We present SplitVAE, a decentralized scenario generation framework that leverages variational autoencoders to generate high-quality scenarios without moving stakeholder data.

Recommended citation: H. M. M. Islam, H. Q. N. Vo and P. Ramanan, "SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems", in 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 938-948.

The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs

Published in 2024 International Conference on Neuromorphic Systems (ICONS'24), 2024

We introduce MELISO (In-Memory Linear Solver), a comprehensive end-to-end VMM benchmarking framework tailored for RRAM-based systems. MELISO evaluates the error propagation in VMM operations, analyzing the impact of RRAM device metrics on error magnitude and distribution.

Recommended citation: M. T. Rahman Chowdhury, H. Q. Nguyen Vo, P. Ramanan, M. Yildirim and G. Tutuncuoglu, "The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs," 2024 International Conference on Neuromorphic Systems (ICONS), Arlington, VA, USA, 2024, pp. 336-342.

Measurement setup for differential spectral responsivity of solar cells

Published in Optical Review, 2020

A setup for measuring differential spectral responsivities of unifacial and bifacial solar cells under bias light conditions.

Recommended citation: Kärhä, P., Baumgartner, H., Askola, J. et al. Measurement setup for differential spectral responsivity of solar cells. Opt Rev 27, 195–204 (2020).