???global.info.a_carregar???
Dr. Geancarlo Abich is a Brazilian researcher that works on projects for software/hardware acceleration and reliability evaluation of Machine Learning models focused on edge computing. He received his bachelors degree in computing engineering from UNISC (Universidade de Santa Cruz do Sul), Brazil, 14', Masters degree in Computing and Ph.D. degree in Microelectronics from UFRGS (Universidade Federal do Rio Grande do Sul), Brazil, 17' and 22’, advised by the Prof. Ricardo Reis (UFRGS) and co-advised by Prof. Luciano Ost (Loughborough University) where he received the highest grade and his thesis advances become in a Book published by Springer Nature. In the earlier work, he contributed to the development of NoC-based MPSoCs management systems, soft-error reliability evaluation tools, and parallelism exploration on specialized neural network libraries. During his Ph.D. studies, Dr. Abich collaborated mainly with Prof. Luciano Ost at Loughborough University and also with companies such as IMPERAS and Arm (University Program). In the last year he worked as a postdoctoral fellow in the extension of his thesis to evaluate the performance and power costs of parallelism and fault mitigation in machine learning models aimed at resource-constrained devices. At the moment he holds a postdoctoral position at INESC-ID as team lead on performance modeling for advanced RISC-V architectures over the Horizon EU SYCLOPS project. The research of Dr. Geancarlo Abich focuses on achieving efficiency at different levels of abstraction, driving both performance gains and reliability at the software and hardware level by exploring the design space for new technologies to deploy AI at the extreme edge. He is currently collaborating with Prof. Luciano Ost (Loughborough University - UK), Prof. Ricardo Reis (UFRGS - Brazil), Prof. Leonel Souza and Prof. Aleksandar Ilic (INESC-ID - Portugal). The research he has been conducting in collaboration with their partners, including Universities from the UK, Brazil, and industrial partners like ARM and Imperas, led to the publication of 1 book, 4 journal papers, and 9 peer-reviewed international conferences.
Read full resume ↓
Identification

Personal identification

Full name
Geancarlo Abich
Date of birth
1990/11/22
Gender
Male

Citation names

  • Abich, Geancarlo
  • Abich, G

Author identifiers

Ciência ID
FC18-5A6E-F581
ORCID iD
0000-0001-9387-1523
Google Scholar ID
d7fcdVwAAAAJ
LattesiD
http://lattes.cnpq.br/0218273654317320
Researcher Id
rid57843
Scopus Author Id
57193626912

Email addresses

  • abich@ieee.org (Professional)
  • geancarlo.abich@inesc-id.pt (Professional)

Telephones

Telephone
  • 213100300 Ext.: 308 (Professional)

Addresses

  • Rua Alves Redol, 9, Room 308, 1000-029, Lisboa, Lisboa, Portugal (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Computer Hardware and Architecture
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Computer Hardware and Architecture

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2017/05/20 - 2022/03/16
Concluded
 Pós Graduação em Microeletrônica (Doctor)
Major in Radiation Effects in Embedded Systems
Universidade Federal do Rio Grande do Sul, Brazil
"Early soft error reliability assessment of convolutional neural networks executing on resource-constrained IoT edge devices" (THESIS/DISSERTATION)
 A
2015/03/01 - 2017/05/20
Concluded
 Pós Graduação em Computação (Master)
Major in MPSoCs
Universidade Federal do Rio Grande do Sul, Brazil
"Extending FreeRTOS to support dynamic and distributed task mapping in multiprocessor systems" (THESIS/DISSERTATION)
 A
2008/03/01 - 2014/12/20
Concluded
 Engenharia de Comptutação (Bachelor)
Major in MPSoCs
Universidade de Santa Cruz do Sul, Brazil
"Applications Mapping Optimization in MPSoCs for Increased Reliability and Lifetime." (THESIS/DISSERTATION)
 10
Affiliation

Science

Category
Host institution 		Employer
2023/02/19 - Current Contracted Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2023/01/01 - 2023/12/31 Postdoc (Research) Universidade Federal do Rio Grande do Sul, Brazil
Universidade Federal do Rio Grande do Sul, Brazil

Teaching in Higher Education

Category
Host institution 		Employer
2022/02/23 - 2023/12/31 Assistant Professor (University Teacher) Universidade de Santa Cruz do Sul, Brazil
Universidade de Santa Cruz do Sul, Brazil
Projects

Contract

Designation Funders
2023/01/01 - Current Scaling extreme analYtics with Cross-architecture acceLeration based on OPen Standards
101092877
Post-doc
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 European Commission
Ongoing
Outputs

Publications

Book
  1. Abich, G; Ost, Luciano; Reis, Ricardo. Corresponding author: Abich, G. Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices. Switzerland: Springer Nature Switzerland. 2023.
    Published • 10.1007/978-3-031-18599-1
Conference paper
  1. Abich, Geancarlo; Garibotti, Rafael; Gava, Jonas; Reis, Ricardo; Ost, Luciano. "Impact of Thread Parallelism on the Soft Error Reliability of Convolution Neural Networks". 2022.
    10.1109/lascas53948.2022.9789088
  2. Abich, Geancarlo; Reis, Ricardo; Ost, Luciano. "The Impact of Precision Bitwidth on the Soft Error Reliability of the MobileNet Network". 2021.
    10.1109/lascas51355.2021.9667153
  3. Abich, Geancarlo; Gava, Jonas; Reis, Ricardo; Ost, Luciano. "Soft Error Reliability Assessment of Neural Networks on Resource-constrained IoT Devices". 2020.
    10.1109/icecs49266.2020.9294951
  4. Hamerski, Jean Carlo; Abich, Geancarlo; Reis, Ricardo; Ost, Luciano; Amory, Alexandre. "A Design Patterns-Based Middleware for Multiprocessor Systems-on-Chip". 2018.
    10.1109/sbcci.2018.8533250
  5. Bortolon, Felipe T.; Abich, Geancarlo; Bampi, Sergio; Reis, Ricardo; Moraes, Fernando; Ost, Luciano. "Exploring the Impact of Soft Errors on NoC-based Multiprocessor Systems". 2018.
    10.1109/iscas.2018.8351391
  6. Hamerski, Jean Carlo; Abich, Geancarlo; Reis, Ricardo; Ost, Luciano; Amory, Alexandre. "Publish-subscribe programming for a NoC-based multiprocessor system-on-chip". 2017.
    10.1109/iscas.2017.8050967
  7. Abich, G.; Mandelli, M. G.; Rosa, F. R.; Moraes, F.; Ost, L.; Reis, R.. "Extending FreeRTOS to support dynamic and distributed mapping in multiprocessor systems". 2016.
    10.1109/icecs.2016.7841301
Journal article
  1. Jonas Gava; Alex Hanneman; Geancarlo Abich; Rafael Garibotti; Sergio Cuenca-Asensi; Rodrigo Possamai Bastos; Ricardo Reis; Luciano Ost. "A Lightweight Mitigation Technique for Resource-constrained Devices Executing DNN Inference Models under Neutron Radiation". IEEE Transactions on Nuclear Science (2023): https://doi.org/10.1109/TNS.2023.3262448.
    10.1109/TNS.2023.3262448
  2. Geancarlo Abich; Rafael Garibotti; Ricardo Reis; Luciano Ost. "The Impact of Soft Errors in Memory Units of Edge Devices Executing Convolutional Neural Networks". IEEE Transactions on Circuits and Systems II: Express Briefs (2022): https://doi.org/10.1109/TCSII.2022.3141243.
    10.1109/TCSII.2022.3141243
  3. Geancarlo Abich; Jonas Gava; Rafael Garibotti; Ricardo Reis; Luciano Ost. "Applying Lightweight Soft Error Mitigation Techniques to Embedded Mixed Precision Deep Neural Networks". IEEE Transactions on Circuits and Systems I: Regular Papers (2021): https://doi.org/10.1109/TCSI.2021.3097981.
    10.1109/TCSI.2021.3097981
  4. Geancarlo Abich; Rafael Garibotti; Vitor Bandeira; Felipe da Rosa; Jonas Gava; Felipe Bortolon; Guilherme Medeiros; et al. "Evaluation of the soft error assessment consistency of a JIT-based virtual platform simulator". IET Computers & Digital Techniques (2021): https://doi.org/10.1049/cdt2.12017.
    10.1049/cdt2.12017
Distinctions

Award

2024 TTTC's E. J. McCluskey Best Doctoral Thesis Award - Latin América
IEEE Test Technology Technical Community (TTTC), United States

IEEE, United States

Other distinction

2022 IEEE CAS Student Travel Grant Award
IEEE Circuits and Systems Society, United States
2018 A. Richard Newton Young Student Fellowship
ACM Special Interest Group on Design Automation (SIGDA), United States

IEEE, United States
2018 IEEE CAS Student Travel Grant Award
IEEE Circuits and Systems Society, United States
2016 A. Richard Newton Young Student Fellowship
ACM Special Interest Group on Design Automation (SIGDA), United States

IEEE, United States