Mr. Lucas Franco, Universidade Federal de São Carlos, Brazil
Lucas is a Senior Developer at iDtrust, specializing in financial solutions with technologies like Java, Python, AWS, and Agile methodologies. He holds a Master’s in Computer Science from UFSCar, focusing on AI-driven drone route optimization for precision agriculture. Lucas also has expertise in automation and data analysis, with experience in the agricultural and industrial sectors. He has worked on projects with Embrapa/Qualcomm and Inselli Engenharia & Ciência Aplicada, contributing to automation and intelligent systems development. Passionate about learning and research, he is skilled in programming, machine learning, and cloud computing. 💻🤖🚁
Publication Profile
Google Scholar
Education and Academic Background
Lucas Franco holds a Master’s degree in Computer Science from UFSCar (2017-2019), where he conducted research on optimizing drone routes for precision agriculture using AI, under the guidance of Prof. Dr. Edilson Kato. He earned his Bachelor’s degree in Computer Science from UniSeb (2012-2015) and a degree in Industrial Automation Technology from IFSP (2009-2011). Lucas also completed a technical course in Industrial Automation at CEFET in 2008. His academic background equips him with a strong foundation in computer science, automation, and innovative technology applications. 🚁🤖💡
Professional Experience
Lucas Franco is currently a Senior Developer at iDtrust (2018-present), creating financial solutions using Java, Python, AWS Cloud, and Agile Scrum methodology. From 2016 to 2018, he worked on the Embrapa/Qualcomm project, focusing on drone technology for precision agriculture, image processing, and system configuration. He also taught Digital Circuits at Domênico Technical School (2016). Between 2010-2016, Lucas worked as a Systems Analyst at Inselli Engenharia, conducting research in automation, gas leak detection, embedded systems, software testing, and database management. He also assisted in automation courses at IFSP. 🤖📊💻
Qualifications
Lucas Franco has strong qualifications in Computer Science, proficient in programming languages such as Java, Python, R, MATLAB/SCILAB, C/C++, and Delphi. He has experience with AWS Cloud services, machine learning, data processing, and SQL database management, alongside embedded system development in Linux. In Industrial Automation, he excels in research and development, PLC programming, instrumentation, communication protocols, and bench testing with industrial equipment. Personally, Lucas possesses strong logical reasoning, teamwork skills, interpersonal relationships, and a passion for self-learning, research, and knowledge sharing. He is always eager to contribute and enhance team knowledge. 🤖📚
Research Focus
Lucas dos Santos Franco’s research primarily focuses on drone technology and precision agriculture. His work explores flight path optimization for multirotor Unmanned Aerial Vehicles (UAVs) using Ant Colony Optimization (ACO), a metaheuristic algorithm, to enhance agricultural applications. This research aims to improve aerial coverage in farming practices, optimizing efficiency and reducing operational costs. Additionally, his expertise in machine learning, data processing, and cloud computing complements his research in automation, especially for systems involving UAVs, remote sensing, and georeferencing. His contributions support technological advancements in agriculture and automation. 🌾🤖📡
Publication Top Notes
Publication: “A method for planning multirotor Unmanned aerial vehicle flight paths to cover areas using the Ant Colony Optimization metaheuristic”
Cited by: ERR Kato, RS Inoue, L dos Santos Franco
Year: 2025
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