Biography
Leonardo Grando is an Assistant Professor at UNASP and a Ph.D. candidate at UNICAMP, specializing in complex systems, machine learning, agent-based simulations (ABMS), and the Internet of Things (IoT).
His Ph.D. research focuses on IoT device swarms and UAV swarm optimization, leveraging agent-based modeling and data mining / machine learning techniques with Python.
With a background in the automotive industry, Grando transitioned to academia in 2019, contributing to data science, teaching, and research. His work aims to improve AI applications in IoT and perpetual flight systems.
Get in touch in my Telegram Channel and Mastodon.
Download my Resume .
Baixe meu Currículo .
- Artificial Intelligence
- Agent-Based Simulations
- Machine Learning
- Internet of Things
- LLMs
- Drones
- Teaching
- Programming
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Technology Ph.D. Candidate., 2021 - 2025 (estimate)
UNICAMP - Limeira Campus
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System Analysis and Development Technologist., 2024
Universidade Cidade de São Paulo – UNICID
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Sc.M. in Technology, 2020
UNICAMP - Limeira Campus
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Quality Management MBA, 2015
FATEP - Piracicaba
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BSc in Material Engineering, 2009
UNESP - Guaratinguetá Campus
Experience
Lecturer for System Information and Computer Engineering. Deliver engaging lectures and facilitate discussions to enhance students’ understanding of key concepts in System Information and Computer Engineering.
February - July 2025 (15 credits)
- Operational Systems (3rd semester, Bachelor’s in System Information)
- Database Modelling (3rd semester, Bachelor’s in System Information; 5th semester, Bachelor’s in Computer Engineering)
- Distributed Systems (7th semester, Bachelor’s in System Information)
August - December 2024 (13 credits)
- Web Programming (6th semester, Bachelor’s in System Information)
- Database Management (4th semester, Bachelor’s in System Information; 6th semester, Bachelor’s in Computer Engineering)
- Information Cybersecurity (6th semester, Bachelor’s in System Information)
Responsibilities include:
- Qualification Exam: May 2023
- Project: IoT (UAVs) power supply devices recharging coordination using agent-based modeling to perform simulations.
- CAPES Ph.D. Scholarship Holder (since Mar. 2021).
- Unicamp Teacher Internship Programme (PED) participation:
- 2021 Second Semester (Level C) - Taught TT413 - Métodos Matemáticos para Telecomunicacões focusing on complex numbers in telecommunications applications.
- 2022 First Semester (Level C) - Delivered lectures for EB102 - Geometria Analítica e Álgebra Linear, covering general linear algebra and vector calculus.
- 2023 Second Semester (Level B) - Returned to teach TT413 - Métodos Matemáticos para Telecomunicações, reinforcing concepts of complex numbers in telecommunications.
Responsibilities include:
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Teaching: Instructed classes in Chemistry, Mathematics, and Technology, fostering student engagement and understanding of core concepts.
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Online Class Support: Provided implementation support for online teaching tools, including Google Classroom and Google Meet, to enhance the virtual learning experience during the COVID-19 pandemic.
Responsibilities include:
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Problem Solving: Expertise in identifying and resolving quality, safety, and productivity issues in assembly processes.
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Data Analysis: Proficient in analyzing key performance indicators (KPIs) to support decision-making and improve operational efficiency.
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Team Leadership: Strong ability to support and enhance team wellbeing, fostering a positive and productive work environment.
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Project Management: Experienced in overseeing start-up projects, including implementation of organizational methodologies like 5S.
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Process Improvement: Skilled in applying lean principles and continuous improvement strategies to optimize assembly operations.
Responsibilities include:
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Automotive Battery Production Optimization: Expertise in implementing strategies to enhance production efficiency and quality in automotive battery manufacturing.
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Maintenance Management: Skilled in support maintenance programs to minimize downtime and ensure the reliability of production equipment.
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Ergonomics Enhancement: Knowledgeable in ergonomics to improve workplace safety and comfort, leading to increased productivity and reduced injury risk.
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Productivity Improvement: Proficient in identifying and executing productivity enhancements through process analysis and best practices.
Recent Publications
Accomplishments
Specialization with four courses:
- Generative AI Primer
- Innovative Teaching with ChatGPT
- GPT Vision: Seeing the World through Generative AI
- Trustworthy Generative AI
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Duration: 240 hours
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Introduction to Artificial Intelligence
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Introduction to Computer Vision
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Computer Vision applied in several areas.
- Duration: 15 hours
- Creating Agent-Based Models
- Analyzing Agent-Based Models
- Verification, Validation, and Replication
- Duration: 18 hours
- Course 2/5 - Python for Everybody Specialization
- Explain the principles of data structures & how they are used
- Store data as key/value pairs using Python dictionaries
- Accomplish multi-step tasks like sorting or looping using tuples
- Duration: 3 hours
- Recognize the importance of scientific data management.
- identify the main elements of a scientific data management plan.
- Duration: 24 hours
- Precision Agriculture
- Agriculture digitization
- Innovation
- Duration: 18 hours
- How to apply prompt engineering to effectively work with large language models, like ChatGPT
- How to use prompt patterns to tap into powerful capabilities within large language models
- How to create complex prompt-based applications for your life, business, or education
- Duration: 5 hours
- Fuzzy logic
- Data clustering using Fuzzy
- Duration: 64 hours
- Cloud computing, cryptography, security risk overview course
- Duration: 17 hours
- Precision Agriculture in several cultures
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Duration: 18 hours
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Course 1/5 - Python for Everybody Specialization
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Use variables to store, retrieve and calculate information
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Utilize core programming tools such as functions and loops
- Duration: 20 hours
- Drones Market Overview
- UAVs Agriculture applications
- UAV Control Concepts, Safety, and Brazilian Law Overview.
- Duration: 2 hours
- Create, train and evaluate a neural network in TensorFlow
- Solve classification problems with neural networks
- Duration: 26.5 hours
- Machine Learning algorithms
- GenAI API usage in Hugging Faces
- Duration: 80 hours
- Cibersecurity Introduction Course
- Duration: 25 hours
- Compreender o pensamento como um processo linguístico
- identificar e avaliar premissas, argumentos, crenças e evidências
- Comunicar-se com mais eficácia
- Duration: 12 hours
- Parametric and non parametric statistical tests usage and their results interpretation
- Duration: 12 hours
- Discover relevant career paths in drones for environmental science.
- Explain the importance of key best practices in drone research, including legal and ethical concerns.
- Duration: 20 hours
- Properly identify various data types and understand the different uses for each .
- Create data visualizations and numerical summaries with Python.
- Duration: 30 hours
- Software Testing
- Oriented Object Programming
- Duration: 40 hours
- Python Programming
- Problem Solving using computing
Integrated 4 Courses Program (120 Hours):
- Python and Pandas for Data Engineering
- Linux and Bash for Data Engineering
- Scripting with Python and SQL for Data Engineering
- Web Applications and Command-Line Tools for Data Engineering
- Duration: 11 hours
- How to use education new technologies in fundamental and high school classes.
- Computational thinking, maker fabs, arduino
- Duration: 40 hours
- How perform an Systematic Literature Review in several academic areas.
- Duration: 7 hours
- Personal brand in digital world
- Digital presence good habits/security tips
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Duration: 13 hours
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The Cornell note-taking strategy is great.
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Course 1/4 - Learn English: Advanced Academic Speaking Program
- Duration: 22 hours
- Consonant sounds pronounce tips
- Course 1/4 - The Pronunciation of American English Program
- Duration: 13 hours
- How to hold attention of the public.
- Course 1/4 - Good with Words: Speaking and Presenting program
- Duration: 20 hours
- How to write well-developed body paragraphs. Course 2/5 - Academic English: Writing Specialization
- Duration: 5 hours
- Project center course to create an US resume creation.
- Bullet point skills description.
- Duration: 17 hours
- English grammar pontuation and verbs tense revision.
- Course 1/5 - Academic English: Writing Specialization