Marco P. Apolinario

Graduate Research Assistant at Purdue University. B.Sc. in Electronics Engineering

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EE 350, Purdue University

501 Northwestern Ave

West Lafayette, IN 47907

I am a Ph.D. student in Electrical and Computer Engineering at Purdue University, under the guidance of Professor Kaushik Roy in the Nanoelectronics Research Lab. I earned my B.Sc. in Electronics Engineering from the National University of Engineering (UNI), Peru, in 2017. Over the years, I have gathered valuable experience, including a research internship at the Jicamarca Radio Observatory (JRO) and a Research Assistant role at the Signal and Image Processing Lab at INICTEL-UNI, Peru. In 2020, I was honored to receive the fully-funded ‘Beca Presidente de la Republica’ graduate scholarship from the Peruvian Government (PRONABEC), and in 2023, I pursued a research internship at Kilby Labs, Texas Instruments.

My research focus revolves around hardware/software co-design for brain-inspired computing. I am passionate about leveraging insights from biological mechanisms to develop more efficient artificial intelligence models.

News

Jan 07, 2025 My latest research paper on temporal local learning rules for SNN got accepted at Transactions on Machine Learning Research (TMLR)!
Nov 04, 2024 Gave a seminar on my research on local learning rules for DNNs at the University of Twente!
Oct 29, 2024 My latest research paper on local learning rules for DNN got accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025!
Sep 16, 2024 I've been awarded the NSF AccelNet NeuroPAC Fellowship to join TU Delft during the Fall 2024!
Sep 11, 2024 Presented my research on local learning rules at SRC's TECHCON 2024!
Jul 20, 2024 I had an awesome time at the Telluride Neuromorphic Engineering Workshop 2024!
Jun 27, 2024 Presented my research on in-memory computing at DAC 2024!
Mar 02, 2024 My co-authored review paper, unearthing the potential of SNNs, has been accepted for presentation at DATE 2024!
Sep 23, 2023 My first paper as a PhD student has been accepted at IEEE Transactions on Emerging Topic in Computing!!
Aug 24, 2023 My co-authored paper on event-based image segmentation got accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024!

Latest Posts

Selected Publications

  1. LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
    M. P. E. Apolinario, A. Roy , and K. Roy
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  2. CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
    M. P. E. Apolinario, S. Choudhary , and K. Roy
    Under Review, 2025
  3. TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
    M. P. E. Apolinario, K. Roy , and C. Frenkel
    Under Review, 2025
  4. TMLR
    S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
    M. P. E. Apolinario, and K. Roy
    Transactions on Machine Learning Research (TMLR), 2025
  5. Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
    M. P. E. Apolinario, A. Kosta , U. Saxena , and K. Roy
    IEEE Transactions on Emerging Topics in Computing, Sep 2023