M.P.E. Apolinario

Marco Apolinario received his B.Sc. in Electronics Engineering from the National University of Engineering (UNI), Lima, Peru, in 2017. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Purdue University under the supervision of Prof. Kaushik Roy, focusing on brain-inspired computing and energy-efficient AI hardware. In September 2024, Marco joined TU Delft's Cognitive Sensor Nodes and Systems (CogSys) team as a visiting Ph.D. student, collaborating with Prof. Charlotte Frenkel on digital hardware accelerators for on-device learning based on local learning rules. At Purdue, Marco developed an ADC-Less In-Memory Computing architecture for energy-efficient inference with Spiking Neural Networks and introduced novel, low-complexity neuro-inspired learning rules to enhance neural network training efficiency. He has been awarded the NSF AccelNet NeuroPAC Fellowship (2024) and the Peruvian Graduate Fellowship "Beca Generación del Bicentenario" (2020). Marco interned at Kilby Labs, Texas Instruments, focusing on hardware-aware neural architecture search algorithms, and has authored several peer-reviewed papers. He also reviews for IEEE journals and conferences, including IEEE TBioCAS, IEEE Latin America Transactions, and NeurIPS. Marco aims to advance adaptive, energy-efficient brain-inspired AI systems for real-world applications.

Last updated: 18 Sep 2024