Vincenzo Vigilante

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Embedded Systems, Artificial Intelligence, Web

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Hello! I'm Vincenzo Vigilante

A curious human being, computer nerd since childhood, experienced Software Engineer.

Always passionate about learning, graduated with high honors at every step, earned a Ph.D. in March 2021 about computer vision algorithm for embedded systems.
Started out part-time during university, first in the field of web development, then working on artificial intelligence applications and embedded systems, finally becoming a team leader.
Right now working with Amazon Web Services to develop and mantain their Cloud platform.

Hobbies include a number of personal projects, participation to hackatons and programming competitions as well as electronics, photography, graphics, 3d printing, videogames and music.

Skills

What I Do

Summary

Resume

Education

2017 - 2021

Ph.D. Artificial Intelligence

University of Salerno, Italy

Thesis title: Intelligent embedded systems for facial soft biometrics in social robotics.

My experience included a period of 4 months spent as a visiting researcher at the University of Twente (Netherlands) where I worked with my co-tutor.

Help teaching: algorithms and data structures, logical networks, computer vision, cognitive robotics, machine learning

Achievements:

  • 4 papers published to international journals, 6 presented to international conferences
  • 21 papers reviewed, 6 cotutorship for master theses, 14 for bachelor theses
  • Developed a software framework for training and evaluation of deep networks that is now used by the group.
  • Setup and maintenance of a cluster of linux machines with GPUs, shared storage and delegated authentication, used by 30 people.

2015 - 2017

Master's Degree (cum laude)

Computer Engineering ‐ University of Salerno, Italy

Thesis title: A wearable device for accident detection in sports activities using machine learning. Published and presented as a conference paper.

The course included lots of project work, done in groups. My group and I always took pride in our projects and aimed to excellence beyond what was required; some results are showcased in the projects section of this website.
I've often been selected as team leader by my peers due to my dedication and experience.

Achievements:

  • Thesis published as a conference paper
  • Our laser harp project was requested and showcased at multiple venues, even on national TV.
  • Grade Point Average: 29.83 / 30

2012 - 2015

Bachelor Degree (cum laude)

Computer Engineering ‐ University of Salerno, Italy

Thesis title: Porting and experimental evaluation of video analytics applications on low-cost platforms.

Achievements:

  • Of the 180 students of my cohort I was one of the 8 that obtained their degree within 3 years.
  • Grade Point Average: 28.95 / 30

2007 - 2012

High school degree (cum laude)

Scientific High School Leonardo Da Vinci, Salerno

Experience

2021

Software Development Engineer II

Amazon Web Services

Developing and mantaining the AWS RDS Platform.

2020

Team Lead

A.I. Tech srl

Mentoring and managing a team of 4 developers.

Design of algorithms, protocols and processes.

Participation to fairs and expositions; interaction with customers and business partners.

Achievements:

  • Release of 4 new products, 2 new platforms, many major and minor bugfixes and features
  • Up to 10x reduced hardware requirements by designing of a resource sharing protocol
  • Improved reliability and reduced test time by designing an automatic regression testing suite

2015 - 2019

Developer

A.I. Tech srl

Design and development of state of the art computer vision algorithms, optimized to run directly on board of embedded smart cameras (not limited to Deep Learning).

Desing and development of latency critical software modules in C++ for High Frequency Trading.

Achievements:

  • 5-10x speed-up of multiple computer-vision algorithm by profiling and optimization
  • Proposed and implemented self-monitoring modules for automatic bug-spotting at runtime
  • Proposed and implemented improvements of the development process and of the software architecture that allowed to scale the number of products and the number of supported platforms by 5-10x

2012 - 2015

Web Developer

Studio 109

Development of web-based ERP software and applications.

Development of templates and plugins for well-knwon CMSs.

Portfolio

Projects

Publications

Publications

A convolutional neural network for gender recognition optimizing the accuracy/speed tradeoff IEEE Access 8, 130771-130781, 2020
A Greco, A Saggese, M Vento, V Vigilante

2020
35 citationscit.

A deep learning based approach for detecting panels in photovoltaic plants Proceedings of the 3rd International Conference on Applications of …, 2020
A Greco, C Pironti, A Saggese, M Vento, V Vigilante

2020
26 citationscit.

Benchmarking deep network architectures for ethnicity recognition using a new large face dataset Machine Vision and Applications 31, 1-13, 2020
A Greco, G Percannella, M Vento, V Vigilante

2020
24 citationscit.

Effective training of convolutional neural networks for age estimation based on knowledge distillation Neural Computing and Applications, 1-16, 2021
A Greco, A Saggese, M Vento, V Vigilante

2021
22 citationscit.

A parallel algorithm for subgraph isomorphism Graph-Based Representations in Pattern Recognition: 12th IAPR-TC-15 …, 2019
V Carletti, P Foggia, P Ritrovato, M Vento, V Vigilante

2019
17 citationscit.

VF3-Light: a lightweight subgraph isomorphism algorithm and its experimental evaluation Pattern Recognition Letters 125, 591-596, 2019
V Carletti, P Foggia, A Greco, M Vento, V Vigilante

2019
16 citationscit.

A system for gender recognition on mobile robots Proceedings of the 2nd international conference on applications of …, 2019
P Foggia, A Greco, G Percannella, M Vento, V Vigilante

2019
16 citationscit.

Emotion analysis from faces for social robotics 2019 IEEE international conference on systems, man and cybernetics (SMC …, 2019
A Greco, A Roberto, A Saggese, M Vento, V Vigilante

2019
12 citationscit.

MIVIABot: a cognitive robot for smart museum Computer Analysis of Images and Patterns: 18th International Conference …, 2019
A Saggese, M Vento, V Vigilante

2019
11 citationscit.

Gender recognition in the wild: a robustness evaluation over corrupted images Journal of Ambient Intelligence and Humanized Computing 12, 10461-10472, 2021
A Greco, A Saggese, M Vento, V Vigilante

2021
citationscit.

Detecting sounds of interest in roads with deep networks Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
P Foggia, A Saggese, N Strisciuglio, M Vento, V Vigilante

2019
citationscit.

SoReNet: A novel deep network for audio surveillance applications 2019 IEEE international conference on systems, man and cybernetics (SMC …, 2019
A Greco, A Saggese, M Vento, V Vigilante

2019
citationscit.

Benchmarking deep networks for facial emotion recognition in the wild Multimedia tools and applications 82 (8), 11189-11220, 2023
A Greco, N Strisciuglio, M Vento, V Vigilante

2023
citationscit.

Performance assessment of face analysis algorithms with occluded faces Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
A Greco, A Saggese, M Vento, V Vigilante

2021
citationscit.

A Wearable Embedded System for Detecting Accidents while Running. VISIGRAPP (4: VISAPP), 541-548, 2018
V Carletti, A Greco, A Saggese, M Vento, V Vigilante

2018
citationscit.

Vehicles Detection for Smart Roads Applications on Board of Smart Cameras: A Comparative Analysis IEEE Transactions on Intelligent Transportation Systems 23 (7), 8077-8089, 2021
A Greco, A Saggese, M Vento, V Vigilante

2021
citationcit.

Intelligent embedded systems for facial soft biometrics in social robotics Universita degli studi di Salerno, 2021
V Vigilante

2021

Updated: 2023-06-07.
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Address

info@vvigilante.com

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