World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11983
World Ranking
7801
National Ranking
3376

Electronics and Electrical Engineering

D-Index
41
Citations
8640
World Ranking
4236
National Ranking
1517

Overview

Eugenio Culurciello is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the field of Computer Science with specialization in multiple subfields including Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, and Computational Theory and Mathematics.

The scientist's work covers various advanced topics such as Reinforcement Learning in Robotics, Adaptive Dynamic Programming Control, Distributed Control Multi-Agent Systems, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Advanced Memory and Neural Computing, and the application of AI in COVID-19 diagnosis.

Frequent coauthors of Eugenio Culurciello include Abhishek Chaurasia, Shakti N. Wadekar, Vincenzo Lomonaco, Karan Desai, and Davide Maltoni. Their collaborative efforts have contributed to the development of research in related domains.

The notable recent papers published by Eugenio Culurciello consist of:

  • Continual reinforcement learning in 3D non-stationary environments (2020), published in CINECA IRIS Institutional research information system (University of Pisa)
  • Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array (2022), published on arXiv (Cornell University)
  • The Evolution of Multimodal Model Architectures (2024), published on arXiv (Cornell University)
  • OneCAD: One Classifier for All image Datasets using multimodal learning (2023), published on arXiv (Cornell University)
  • Semantically complex audio to video generation with audio source separation (2025), published in Engineering Applications of Artificial Intelligence

The frequent venues where Eugenio Culurciello has published include:

  • arXiv (Cornell University)
  • CINECA IRIS Institutional research information system (University of Pisa)
  • Engineering Applications of Artificial Intelligence

Best Publications

  • LinkNet: Exploiting encoder representations for efficient semantic segmentation

    Abhishek Chaurasia;Eugenio Culurciello

  • ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

    Adam Paszke;Abhishek Chaurasia;Sangpil Kim;Eugenio Culurciello

  • An Analysis of Deep Neural Network Models for Practical Applications

    Alfredo Canziani;Adam Paszke;Eugenio Culurciello

  • NeuFlow: A runtime reconfigurable dataflow processor for vision

    Clement Farabet;Berin Martini;Benoit Corda;Polina Akselrod

  • A biomorphic digital image sensor

    E. Culurciello;R. Etienne-Cummings;K.A. Boahen

  • A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks

    Vinayak Gokhale;Jonghoon Jin;Aysegul Dundar;Berin Martini

  • Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information

    Giovanni Barbera;Giovanni Barbera;Bo Liang;Lifeng Zhang;Charles R. Gerfen

  • Hardware accelerated convolutional neural networks for synthetic vision systems

    Clement Farabet;Berin Martini;Polina Akselrod;Selcuk Talay

  • Activity-driven, event-based vision sensors

    Tobi Delbruck;Bernabe Linares-Barranco;Eugenio Culurciello;Christoph Posch

  • Flattened Convolutional Neural Networks for Feedforward Acceleration

    Jonghoon Jin;Aysegul Dundar;Eugenio Culurciello

  • Recurrent Neural Networks Hardware Implementation on FPGA

    Andre Xian Ming Chang;Berin Martini;Eugenio Culurciello

  • Capacitive Inter-Chip Data and Power Transfer for 3-D VLSI

    E. Culurciello;A.G. Andreou

  • Large-Scale FPGA-based Convolutional Networks

    Clément Farabet;Yann Lecun;Koray Kavukcuoglu;Berin Martini

  • Embedded Streaming Deep Neural Networks Accelerator With Applications

    Aysegul Dundar;Jonghoon Jin;Berin Martini;Eugenio Culurciello

  • NeuFlow: Dataflow vision processing system-on-a-chip

    Phi-Hung Pham;Darko Jelaca;Clement Farabet;Berin Martini

  • Analyzing complex single-molecule emission patterns with deep learning

    Peiyi Zhang;Sheng Liu;Abhishek Chaurasia;Donghan Ma

  • An Address-Event Fall Detector for Assisted Living Applications

    Zhengming Fu;T. Delbruck;P. Lichtsteiner;E. Culurciello

  • Hardware accelerators for recurrent neural networks on FPGA

    Andre Xian Ming Chang;Eugenio Culurciello

  • A Multichip Neuromorphic System for Spike-Based Visual Information Processing

    R. Jacob Vogelstein;Udayan Mallik;Eugenio Culurciello;Gert Cauwenberghs

  • Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications

    Dongsoo Kim;B. Goldstein;Wei Tang;F. J. Sigworth

  • Arbitrated address-event representation digital image sensor

    E. Culurciello;R. Etienne-Cummings;K. Boahen

Frequent Co-Authors

Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Vincent A. Pieribone
Vincent A. Pieribone Yale University
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Yann LeCun
Yann LeCun Facebook (United States)
Kwabena Boahen
Kwabena Boahen Stanford University
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Tobi Delbruck
Tobi Delbruck ETH Zurich
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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