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Version: 09 April 2026

Cover Letter and Short interactive CVJonas Gomes da Silva

Brief of my Journey

Volunteer = 28 years Researcher = 27 years University´s Professor = 23 years Students´s Advisor = 19 years Columnist = 14 years Social Entrepreneur or Project Manager = 7 years International Exchange: 6,4 years Course Coordinator = 3 years Vice Chief of Dep. = 2 years Head of Department = 7 months Interdisciplinary Areas: Total Quality Man. (Since 1998) Strategic Planning (Since 1998) Social Innovation (Since 2003) Sustainability (Since 2010)

Mission

To share knowledge and create a positive legacy for humanity and the planet.

Menu

Full CV (Here)

Volunteer

Experience

Cover letter

Education

jgsilva@ufam.edu.br

www.jgsilva.org

Future Research and References

Competencies

Teaching andPublications

Milestones

Dear HR Manager, I am Jonas Gomes da Silva, a Brazilian professor, researcher, and volunteer. The following points summarize how my background, developed over the past three decades, can add value to your organization. First) Mission Alignment: My mission is to share knowledge and generate positive societal and environmental impact. If your organization pursues similar goals, I would welcome the opportunity to contribute. Second) Interdisciplinary Background: I hold a Ph.D. in Production Engineering from Gunma University in Japan, with experience in Total Quality Management, Strategic Planning, Social Innovation, and Sustainability. My technical work includes organizational modeling, SWOT analysis, Hoshin Kanri (Policy Deployment), Matrix X, Process Mapping, Standardization, Problem-solving Tools, Key Performance Indicator Systems, and Continuous Improvement. In Social Innovation, I design and implement participatory methods to address community challenges, collaborating with universities, government agencies, industries, and nonprofits. Third) Teaching and Scientific Contribution: I've developed digital platforms for educational purposes and dedicated 17,610 hours to teaching and mentoring, helping develop future leaders. I have authored 36 scientific articles and two books, all focused on diagnostics, recommendations, and best-practice sharing for organizations and municipalities. While organizational studies focused on Quality Management, Strategic Planning, and Social Innovation, the city research encompasses urban afforestation, smart cities, citizen participation, and decarbonization efforts. For example, PeerJ Computer Science published an article discussing models and participatory approaches that could help Manaus become a smart and sustainable city. This work also led to the HUB4ECOAI INITIATIVES, which is looking for best practices of AI-driven solutions for polluted waterways, solid garbage/waste management, inadequate afforestation, air quality issues, and traffic congestion, environmental challenges that are common in several urban cities. Fourth) Volunteer Leadership and Popular Knowledge Dissemination: I have led volunteer projects benefiting 5,200 individuals in the urban Amazon. I have also published more than 470 press articles (https://jcam.com.br/articulista/jonas-gomes/) on education, innovation, governance, environmental issues, and social matters. These efforts reflect a commitment to open science, public engagement, transparency, and community-driven transformation. Fifth) Global and Local Impact: My work on urban challenges in the Amazon is complemented by participation in international networks such as AAAS, ABEPRO, Climate Change AI, The Earthshot Prize (Nominator and Expert Advisor), Japan MEXT, JICA, Royal Society Open Science, Smart Cities World, and the USA International Visitor Leadership Program. Additional information is available at www.jgsilva.org, and I am open to connecting. Thank you for your attention. Sincerely yours, Jonas Gomes da Silva.

COVER LETTER

Main Education

POST--DOCTORATE

2020; 2023 Innovation/Smart Cities The Manchester UniversityAlliance Manchester Business SchoolManchester Institute of Research Innovation Sustainable Consumption Institute

PhD (MEXT SCHOLARSHIP)

2000 - 2003: Industry Engineering Gunma University / Gunma - Japan

MASTER (MEXT SCHOLARSHIP)

1998 - 2000: Mechanic Engineering System Gunma University / Gunma - Japan

SPECIALIZATION

1994- 1995: Industry EngineeringAmazon Federal University / Amazon-Brazil

EXAMPLE OF courses completed

How does citizen participation contribute to government climate agendas? (INDES, BID)

Agile Development and Scrum Foundations (IBM)

Innovative Business Models for Expanding Broadband and Closing the Access Gaps OLC/WBG)

Civil Society, Extractive Industries and Governments Driving Development (BID/INDES)

Project Management for Development: (INDES, BID)

Creative Thinking - Techniques and Tools for Success: Imperial College London

PM4R Agile: mentalidad ágil en proyectos de desarrollo (INDES, BID)

Data Analysis Essentials: Imperial College London

Risk Management in Development Projects (BID, INDES, PMI)

Diseño de proyectos de gobierno digital (BID)

Smart Cities for Global Frontier Infrastructure (Virtual Knowledge Exchange) - OLC/WBG

Foresight in Action: Manchester Institute of Research Innovation (MIOIR) and VTT

Smart Cities (Facilitated): World Bank Group/OLC

Foresight: Methods: Manchester Institute of Innovation Research (MIOIR) and VTT

Smart Cities – Management of Smart Urban Infrastructures: EPFL

Smart Cities for Sustainable Development: World Bank Group/OLC

Science, Technology and Innovation Policy Evaluation: Manchester Institute of Innovation Research (MIOIR)

SMART Foresight: Manchester Institute of Innovation Research (MIOIR) and VTT

Technology Entrepreneurship - Lab to Market: Harvard University

eXPERIENCE

SECTI

UFAM

FUCAPI

FAPEAM

UEA

MEXT

2010 - PRESENT

2008 - 2010 / 96-97

2008-2009

2004 - 2008

2004 - 2006

1997 - 2003

PROFESSOR ADVISOR, AND RESEARCHER AT ESCOLA SUPERIOR DE TECHNOLOGIA´S INDUSTRIAL ENG. DEPARTMENT

CHIEF OF PROJECT ANALYSIS DEPARTMENT

ASSOCIATE PROFESSORADVISOR, RESEARCHER, COORDINATOR, VICE CHIEF HEAD OF CLASSROOM ALLOCATION

RESEARCHER (SCHOLARSHIP) OF THE PGCT (Science and Technology Management Program)

RESEARCHER(SCHOLARSHIP)JAPANESE TOTAL QUALITY MANAGEMENT

PROFESSOR AT FUCAPI SCHOOL AND UNIVERSITY

experience (VOLUNTEER)

PB

AMEOJAPAO

ALTPET

JCAM

UNESCO

ESP

2006-PRESENT

1994 - 96 / 2003-14

2011- PRESENT

1997 - 2003

2001

2024-PRESENT

FOUNDER MEMBER PROFESSORPRESIDENT FINANCE DIRECTOR PROJECT COORDINATOR

COLUMNIST WRITE ARTICLE EVERY WEEK ON TOPICS RELATED TO EDUCATION, INNOVATION, SUSTAINABILITY, ETC

PEACE BOAT NGO GET VOLUNTEER JAN. TO FEB/2001 TEACH SPANISH, PORTUGUESE AND BRAZILIAN CULTURE

FOUNDER MEMBER PRESIDENT SOCIAL DIRECTOR FINANCE DIRECTOR

TOKYO MEGURO UNESCO MEMBER AND VOLUNTEER SUPPORT EXCHANGE EVENTS

NOMINATOR AND EXPERT ADVISOR OF EARTHSHOT PRIZE. LED BY PRICE WILLIAM

COMPETENCIES

JONAS GOMES / ORCID

Total Quality Management (TQM): Knowledge of organizational models, quality and performance management. Skills in diagnosing processes, improving workflows, and supporting continuous improvement cultures. Methods include Hoshin Kanri, Daily Management, PDSA, Toyota A3 report, KPI systems, Benchmarking, Process mapping, Ishikawa, Pareto, GUT, SCORE Matrix, 5S, Kaizen, and standardization frameworks. Strategic Planning: Knowledge of participatory strategic planning development. Skills in designing strategic plans, deploying objectives, and aligning teams and missions. Methods include participatory planning, SWOT, SMART goals, X-Matrix, Balanced Scorecard, KPI design, and strategic deployment tools. Social Innovation: Knowledge of community development, community governance, and nonprofit management. Skills in facilitating participatory processes, co-creating solutions, and supporting community-led initiatives. Methods include participatory assessment, planning, rich picture analysis, problem- and solution-tree models, project design frameworks, fundraising strategies, and participatory evaluation. Sustainability: Knowledge of sustainable development, environmental governance, and urban systems. Skills in analyzing smart-city models, designing sustainable initiatives, and supporting urban resilience strategies. Methods include smart-city benchmarking, citizen-engagement models, environmental analytics, urban arborization strategies, and monitoring of active fires and thermal anomalies. Teaching, Research & Digital Tools: Knowledge of research design, academic writing, data analysis, and digital learning technologies. Skills in teaching, supervising projects, synthesizing scientific evidence, and developing digital educational materials. Methods include literature reviews, bibliometric analysis, statistical analysis, survey, interactive web development, and use of platforms such as Edraw Max, Dimensions, Genial.ly, Harvard Dataverse, Julius AI, Lens.org, etc..

JONAS GOMES / CV

Portuguese: Fluent

LANGUAGESUNDESTAND

LANGUAGES SPEAK

English

English

Japanese

Japanese

Spanish

Spanish

WRITE

English

Japanese

Spanish

MILESTONES UNTIL JUL/26

1) 1997-2003: Received a scholarship from Japan's MEXT to pursue Master's and PhD studies in Japan.

2) 2004-2007: Received a scholarship from FAPEAM to implement two projects at SECT-AM.

3) 2005: Featured Teacher selected by Brazilian National Ethos Valor Award.

4) 2006 - 2014: Developed a Strategic Management Model and four projects for a NPO in the Amazon region that directly benefited over 5,291 people. The NPO received two awards for these initiatives.

5) 2007-2008: Selected by JICA to participate in the Course "Promotion of Enabling Environment for Civil Society and Community Development". Launched the First Book.

6) 2013-2019: Developed a Participatory Strategic Planning Model for UFAM´s Department of Industry Engineering.

7) 2013: Selected by USA Bureau of Education and Cultural Affair to participate in the International Visitor Leadership Program.

8) 2022: Selected by Japan´s MOFA to participate in the Program Building a Multi-layed Network of Japan Experts (Report Here).

9) 2024-2025: Nominator and Expert Advisor for The Earthshot Prize led by Prince William.10) 2025: Received an Honorary Merit Diploma from the Japanese Government. Launched the 2nd Book. 11) 2024 - 2026: Developed five digital platforms to manage educational issues.

TEACHING AND MAIN PUBLICATIONS

RESEARCH GATE

1) 17139 hours of teaching and guidance to graduate and undergraduate students (Here).

2) 470 articles published in newspapers, 36 articles published in scientific journals, and two books published. The five most important are:

Article 1) Looking through and beyond the TQM horizon: Lessons learned from world-class companies (Here).

Article 2) Evaluation of TQM in Japanese industries and validation of a self-assessment questionnaire (Here).

Article 3) Guidelines for a participatory Smart City model to address Amazon’s urban environmental problems (Here).

Article 4) Jonas Butterfly Model for Selecting the Most Notable Journal in Administration, Engineering, Environment, and Interdisciplinary Areas (PREPRINT-Here).

5) Book on Third Sector and Social Entrepreneurship: Compêndio para elaboração de projetos sociais: casos nacionais e internacionais de sucesso (Here).

TEACHING PHILOSOPHY (Here)

NEW BOOK (Here)

STAR METHOD) Situation, Task, Action, Results, Indicators (2023-2025) (Here)

SMART HUB4ECOAI INITIATIVES

This project advances a long-term research agenda based on a participatory study conducted by the author with 1,242 residents of Manaus, the capital of the Amazon State. It is a three-year research initiative that advances an innovative ECO AI-driven methodology to address complex urban environmental challenges present not only in Manaus, but in several cities around the world. Recent empirical evidence from local residents has identified critical environmental concerns, including stream pollution, garbage accumulation, insufficient urban afforestation, air pollution, and traffic congestion (da Silva, 2023, p. 37). While AI applications have attracted growing attention from the scientific community over the past seven years (Gomes da Silva, 2025; Fang et al., 2023; Frincu, 2024; Gazzawe and Albahar, 2024; Henrique et al., 2021; Li et al., 2022; Olawade et al., 2024; Olayode et al., 2020), a significant gap remains in the systematic organization and accessibility of AI-enabled solutions for societal implementation—particularly those that actively involve citizen engagement. So, this study has the following objectives: Phase I (Years 1-2): Conduct a comprehensive analysis and documentation of successful AI-driven policies and solutions from leading smart and sustainable cities, addressing urban pollution, waste management, deforestation, air quality, and traffic congestion. This knowledge will be disseminated through peer-reviewed publications and an interactive digital platform, using tools such as Julius AI, Editor X, and Genial.ly. Phase II (Years 2-3): Implementation and evaluation of a targeted AI-based intervention within a selected Manaus community, focusing on one or two priority environmental challenges identified in Phase I. The methodology integrates the Plan-Do-Check-Act (PDCA) cycle and Toyota A4 Report framework with mixed-method research approaches, partnerships with Key Universities such as The Manchester University, UFAM, and other stakeholders, ensuring robust alignment with the unique socioecological context of Amazonian urban environments. The project's anticipated deliverable is a comprehensive database featuring scalable AI-driven urban sustainability solutions, emphasizing ecological resilience and equitable resource distribution in rapidly developing tropical urban centers. This framework will serve as a valuable resource for policymakers, researchers, and practitioners addressing similar environmental challenges in emerging urban contexts.

Basic Research Plan Here (2026-2028)

SMART HUB4GREEN AI INITIATIVES

1. Green AI Challenges and Project Main Goal This project is part of a long-term agenda adopted by the author (Da Silva, 2023; 2026) and was part of the MIT IAP 2026 Sustainable AI Course (January 2026). It confronts surging energy and water demands in AI supply chains across global cities (Li et al., 2025), where compute-intensive models exacerbate resource strain, as is commonly cited in articles on Green AI (Strubell et al., 2019; 2020; Verdecchia et al., 2023). For example, Deep learning training emits significant carbon (Patterson et al., 2021), data centers withdraw billions of liters for cooling (e.g., Google 2023), while policymakers lack updated and standardized AI sustainability taxonomies (Green AI literature) and best practices learned from top smart sustainable cities to address the challenges mentioned. The main goal is to launch an interactive digital platform, Smart Hub4Green AI Initiatives, featuring practices (Regulations, Strategies, AI-driven Product/System etc) from 20 Gold Benchmark Smart Sustainable Cities (GBSSC) that address water and/or energy efficiency. 2. Methodology This is an applied, mixed-methods approach that uses Open Science, Julius AI, Perplexity, and Digital Tools to collect, analyse, and share data across four phases. 2.1 Phase I: Learn about Green AI (Jan 2026) Develop initial literature, documentary, and Bibliometric Review; and identify the main Green AI challenges related to Water and Energy 2.2 Phase II: Find and classify the best smart and sustainable initiatives (Feb-Mar 2026) Investigate 20 GBSSC (e.g., London, Singapore, Amsterdam) official documents, articles, reports to identify 50+ practices (energy-efficient training, water-smart cooling, etc.) Verdecchia et al., 2023 via Documentary and Bibliometric Review, using PerplexityAI, Mapify, Lens.org, etc. Analyse data using ​Julius AI to clean and update the dataset. Classify the Initiatives into categories (Regulations, Strategies, Products/Systems, etc.). 2.3 Phase III: Develop the Digital Platform (Apr-2026) Build the Smart HUB4GREEN platform using Julius AI, Git Hub 2.4 Phase IV: Share the Smart HUB4GREEN Initiatives platform (Apr-Dec 2026 ) Share the platform in the author's personal page (https://www.jgsilva.org/) using WIXStudio and Git Hub Share the research's main datasets, figures, and appendices in Harvard Dataverse Write and submit the paper to Preprint.org; Write and submit the paper to the appropriate Journal; Participate in international events. 3. Results Expected First GBSSC Green AI taxonomy, datasets, and interactive digital platform, applied to water and/or energy, filling urban policy gaps (Strubell et al., 2019; Da Silva, 2026). 4. Main References Da Silva (2023). Guidelines for a participatory Smart City model to address Amazon’s urban environmental problems. PeerJ Computer Science. Da Silva (2026). Hub4EcoAI Initiatives: From Gold Benchmark Smart Sustainable Cities to Water-Resilient Urban Sanctuaries (Part 1). Preprints.org Li et al. (2023). Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models. Communications of the ACM, 67. Luccioni et al. (2024). Power Hungry Processing. ACM FAccT. Strubell et al. (2019). Energy and Policy Considerations for Deep Learning in NLP. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3645–3650, Florence, Italy. Association for Computational Linguistics; Strubell et al. (2020). Green AI. Communications of the ACM; Patterson et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv preprint arXiv:2104.10350; Verdecchia et al. (2023). Systematic Review of Green AI. WIREs Data Mining.

REFERENCES

R1) Dr. Lucas Cordeiro Reader in the Department of Computer Science The University of Manchester Tel: 44 7858412433 Email: lucas.cordeiro@manchester.ac.uk R2) Dr. João Caldas Director of the Faculty of Technology/UFAM Tel: 55 92 99845210 jcaldas@ufam.edu.br R3) Honorable Mr. Mark Peter Honorary Consulate of the United Kingdom in Manaus Tel: 55 92 99500-5053 mark.peters@fcdo.gov.uk