Luciano Netto de Lima

Luciano Netto de Lima

Stipendiat
Fakultet for teknologi, naturvitenskap og maritime fag
Institutt for mikrosystemer
Campus Vestfold
Luciano is PhD Research Fellow in Energy, Process and Automation at USN. He graduated with a Master's Program in Electrical Engineering, researching artificial intelligence applied to swarms of unmanned aerial vehicles and a MBA in Marketing from USP Esalq. He obtained the Master degree and Bachelor in control and automation engineering in CEFET/RJ.

Kompetanse

Project Manager at TracSense AS                                   
Oslo - Norway

Representing the company in different projects coordinating the team efforts to achieve the objectives of research and development. Coordinate internal teams in Norway and Brazil on developing projects in electronics and programming to offer solutions in autonomous vehicles applied to road condition estimation. The projects involved computer vision, robotics, autonomous vehicles, sensing, and instrumentation and used Agile management.

Data Scientist at MM12 - Loyalty Marketing Agency
Rio de Janeiro - Brazil

Processing, cleaning, and verifying the integrity of data used for analysis. Analysis and presenting marketing KPI results such as ROI, RFV, SSS, etc. Creating automated anomaly detection systems and constant tracking of its performance. Developing predictive models for sales. Dashboard creation with Tableau, PowerBI, and Google Data Studio. Google Analytics configuration and analysis.

Sales and Marketing Director at Umaker - Creative Technology Teaching 
Rio de Janeiro - Brazil

Creation and monitoring of commercial proposals. Responsible for business and marketing strategies and sales management. Planning, monitoring, and marketing management. Marketing survey and sales strategy track. Management and training of the sales team. Social Networks management. CRM and Marketing automation implementation using Mautic, Suite CRM, and VTiger.

Coordinator of the Electrical Technician Course at FAETEC/PRONATEC -Technical School of the Rio de Janeiro State
Rio de Janeiro - Brazil

Management of academic and pedagogic issues. Lead the teachers to reach the academic objectives according to the school directives. Technical drawing teacher.

Supervisor in Engineering Education at Educatina
Buenos Aires - Argentina

Outsourced service quality control (English, Spanish, and Portuguese). Targets control monitoring. Supervision and management of quality service conflicts. Automation development in Excel with VBA employment and auxiliary software for the business process.

Instrumentation Systems Developer and Support at Quetzal - Digital Systems  Development
Rio de Janeiro -  Brazil

Creation and maintenance of naval systems software and interface communications between hardware/software. Customers on-site support, service, and training. Developing solutions in ROV area, storage control flexible and umbilical lines, specification software, and data matching systems using GPS, gyroscopes, transponders and etc. Development of maneuvering simulators for boats and for launching flexible pipelines on the seabed.

CV

www.linkedin.com/in/luciano-lima-bn

Publikasjoner

LIMA, LUCIANO; ANDRADE, FABIO ; DJENOURI, YOUCEF ; PFEIFFER, CARLOS ; MOURA, MARCOS . Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety. In: 2023 IEEE International Conference on Big Data (BigData), 2023, Sorrento, Italy. p. 2616.

 

R. POUDEL, L. LIMA e F. ANDRADE, A Novel Framework to Evaluate and Train Object Detection Models for Real-Time Victims Search and Rescue at Sea with Autonomous Unmanned Aerial Systems Using High-Fidelity Dynamic Marine Simulation Environment, 2023 IEEE /CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikoloa, HI, US, 2023, pp. 239-247, doi: 10.1109/WACVW58289.2023.00030.

 

MAYER, S., ANDRADE, F., LORENZ, T., DE LIMA, L., HOVENBURG, A., E DAHLIN, C.: Applying the METRo model for road-condition forecasting in Norway, EMS Annual Meeting 2021, online, 2021, EMS2021-294, https://doi.org/10.5194/ems2021-294, 2021.

 

ANDRADE, FÁBIO AA; HOVENBURG, ANTHONY; DE LIMA, LUCIANO NETTO DE ; RODIN, CHRISTOPHER DAHLIN; JOHANSEN, TOR ARNE; STORVOLD, RUNE; CORREIA, CARLOS AM ; HADDAD, DIEGO BARRETO . Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control. SENSORS, v. 19, p. 4067, 2019.

 

RODIN, CHRISTOPHER DAHLIN; DE LIMA, LUCIANO NETTO ; DE ALCÂNTARA ANDRADE, FÁBIO AUGUSTO ; HADDAD, DIEGO BARRETO ; JOHANSEN, TOR ARNE; STORVOLD, RUNE. Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems. In: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro. 2018. p. 1.