Mario Gazziro | Cryptographic Hardware | Best Researcher Award

Prof Dr. Mario Gazziro | Cryptographic Hardware | Best Researcher Award

Professor at Federal University of ABC, Brazil

Summary:

Prof. Dr. Mario Alexandre Gazziro is a distinguished academic and researcher with a diverse background in computing, electronics, and engineering. He holds a Bachelor’s degree in Computer Science from the University of São Paulo (USP), a Master’s in Computer Science from the Federal University of São Carlos (UFSCar), and a Ph.D. in Computational Physics from USP. He completed postdoctoral research in Machine Learning and Artificial Intelligence at USP and in Magnetic Resonance at the Instituto de Física de São Carlos. Prof. Gazziro’s expertise spans cybernetics, microelectronics, reconfigurable hardware, image and signal processing, and biomedical engineering. He has worked with leading companies like Cadence and Toshiba Semiconductors and is currently a professor at the Federal University of ABC (UFABC). His research and professional interests include cybersecurity, neuroengineering, RFID technology, and electronic art.

Profile:

Education:

Prof. Dr. Mario Gazziro holds an extensive academic background with a focus on computational and engineering disciplines. He earned his Ph.D. in Computational Physics from the Institute of Physics at the University of São Paulo (USP) in 2009. Prior to this, he completed his Master’s degree in Computer Science at the Federal University of São Carlos (UFSCar) and the State University of Santa Cruz in 2005. His undergraduate studies were in Computer Science at the University of São Paulo, where he received his Bachelor’s degree in 2003. Additionally, Prof. Gazziro pursued postdoctoral research in Magnetic Resonance at the Institute of Physics of São Carlos, USP, from 2012 to 2013, and further specialized in Machine Learning and Artificial Intelligence at the Institute of Computer Science (ICMC), USP, from 2017 to 2018. He also holds specialist qualifications in Digital Integrated Circuit Design from Cadence, USA, and Toshiba Semiconductors, Japan.

Professional Experience:

Prof. Dr. Mario Gazziro has a distinguished career that spans multiple disciplines within computational and engineering fields. Currently, he is a professor at the Federal University of ABC (UFABC), where he contributes to research and teaching in areas including cybernetics, microelectronics, and biomedical engineering. His previous roles include a postdoctoral researcher at the University of São Paulo, where he focused on Magnetic Resonance and Machine Learning. He has also served as a specialist in Digital Integrated Circuit Design with Cadence, USA, and Toshiba Semiconductors, Japan. His extensive experience includes roles in academia, research, and industry, where he has applied his expertise in fields such as signal processing, neuroengineering, and electronic arts. Prof. Gazziro’s career is marked by significant contributions to various technical and research domains, reflecting his commitment to advancing knowledge and innovation.

Research Interests:

Prof. Dr. Mario Alexandre Gazziro’s research interests are multidisciplinary and encompass several cutting-edge areas in technology and science. His work primarily focuses on cybernetics, exploring the integration of computational systems with biological processes. He is deeply involved in microelectronics and reconfigurable hardware, aiming to advance the design and application of digital integrated circuits. Prof. Gazziro is also engaged in image and signal processing, with applications in various fields including biomedical engineering and neuroengineering. His research extends to RFID technology and magnetic resonance imaging, where he investigates innovative methods for data acquisition and analysis. Additionally, he has a strong interest in the intersection of technology and the arts, particularly in electronic art and visual arts, reflecting his broad expertise and commitment to advancing both theoretical and practical aspects of his fields.

Skills:

Prof. Dr. Mario Alexandre Gazziro possesses a diverse range of skills that reflect his expertise across multiple domains. His technical skills include safety assessment of critical systems, ensuring robust and secure operation in complex environments. He is adept in digital integrated circuit design, having received specialized training from leading institutions such as Cadence and Toshiba Semiconductors. Prof. Gazziro’s soft skills are equally impressive, showcasing strengths in personal development and self-awareness, strategic communication, and team collaboration. He excels in engaging and motivating teams, focusing on result-oriented approaches and value creation for users. His abilities in crisis management and innovative problem-solving are complemented by a digital mindset and a commitment to ethical values. With a future-oriented vision and a systems thinking approach, Prof. Gazziro effectively integrates data-driven problem-solving into his research and professional activities.

Awards and Honors:

Prof. Dr. Mario Alexandre Gazziro has garnered several prestigious awards and honors throughout his career. His contributions to safety assessment of critical systems have been recognized with accolades highlighting his expertise in cybernetics and microelectronics. In addition, his innovative work in digital integrated circuit design earned him distinctions from leading technology organizations. Prof. Gazziro’s research in machine learning and artificial intelligence has been acknowledged through awards for excellence in these cutting-edge fields. His involvement in biomedical engineering and signal processing has also received acclaim, reflecting his impactful contributions to both theoretical research and practical applications in technology.

Publication Top Noted:

A 3D Scanning System Based on Laser Triangulation and Variable Field of View

  • Authors: JGDM França, MA Gazziro, AN Ide, JH Saito
  • Conference: IEEE International Conference on Image Processing
  • Volume: 1
  • Pages: I-425
  • Year: 2005
  • Citations: 160

Ambiente Dedicado para Aplicações Educacionais Interativas com Realidade Misturada

  • Authors: C Providelo, DH Debonzi, MA Gazziro, I Queiroz, C Kirner, JH Saito
  • Conference: I Workshop sobre Realidade Aumentada
  • Location: Piracicaba, Brasil
  • Year: 2004
  • Citations: 13

SiC for Biomedical Applications

  • Authors: SE Saddow, CL Frewin, F Araujo Cespedes, M Gazziro, E Bernadin
  • Journal: Materials Science Forum
  • Volume: 858
  • Pages: 1010-1014
  • Year: 2016
  • Citations: 11

Multi-Modal Acoustic Echo Canceller for Video Conferencing Systems

  • Authors: M Gazziro, G Almeida, P Matias, H Tanaka, S Minami
  • Conference: 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images
  • Pages: 302-307
  • Year: 2012
  • Citations: 7

Memristor Device Fabricated from Doped Graphene Oxide

  • Authors: M Sparvoli, MA Gazziro, JS Marma, G Zucchi
  • Conference: 2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)
  • Pages: 57-60
  • Year: 2019
  • Citations: 5

Multimodal Graph-Based Analysis Over the DBLP Repository: Critical Discoveries and Hypotheses

  • Authors: GP Gimenes, H Gualdron, JF Rodrigues Jr, M Gazziro
  • Conference: Proceedings of the 30th Annual ACM Symposium on Applied Computing
  • Pages: 1129-1135
  • Year: 2015
  • Citations: 5

Microstructural Assessment of Cancellous Bone Using 3D Microtomography

  • Authors: AMH Silva, JM Alves, OL Da Silva, NFS Junior, M Gazziro, JC Pereira
  • Journal: Journal of Physics: Conference Series
  • Volume: 313, Issue: 1
  • Article: 012008
  • Year: 2011
  • Citations: 5

A 3D Scanning System Based on Laser Triangulation and Variable Field of View

  • Authors: JG Franca, MA Gazziro, AN Ide, JH Saito
  • Conference: IEEE International Conference on Image Processing
  • Year: 2005
  • Citations: 5

Indium Oxynitride (InNO) Radiation Sensors Calibration

  • Authors: M Sparvoli, RK Onmori, FO Jorge, MA Gazziro
  • Journal: IEEE Sensors Journal
  • Volume: 17, Issue: 8
  • Pages: 2372-2376
  • Year: 2017
  • Citations: 4

A Computational Method for Interactive Design of Marbling Patterns

  • Authors: M Gazziro, JP Gois, CT Gonzales, JF Rodrigues
  • Conference: 2018 17th Brazilian Symposium on Computer Games and Digital Entertainment
  • Year: 2018
  • Citations: 3