ABET Program Evaluator (PEV)
Service as an ABET Program Evaluator reflects sustained engagement with engineering program review, student outcomes, continuous improvement, and accreditation quality culture.
Home
Home
Electrical Engineering · Clean Energy · AI-Era Education
Adel Gastli
Professor of Electrical Engineering, ABET Program Evaluator, Stanford/Elsevier top 2% scientist recognition holder, and education innovator working at the intersection of sustainable energy systems, engineering education, free knowledge sharing, and the future of human thinking in an AI-enabled world.
ABET Program Evaluator (PEV)Engineering program accreditation and outcomes-based quality assurance.
Stanford/Elsevier Top 2% RecognitionCitation-based research visibility in public Stanford/Elsevier-related listings.
Free Knowledge SharingPublic YouTube course materials and access for all.
4Countries of academic and leadership contribution
EnergyRenewables, smart grids, EVs, PV systems, and drives
AIThought leadership on education, thinking, and human development
ABET PEV · Top 2% RecognitionResearch, teaching, accreditation quality, and free public learning.
Signature Credentials
Research excellence, accreditation leadership, and free knowledge sharing.
Three pillars define this professional identity: internationally visible engineering research, quality-assurance service through program accreditation, and a commitment to open educational access.
Stanford/Elsevier Top 2% Scientist Recognition
Public sources report that Adel Gastli has been recognized in Stanford University-related top 2% scientist listings. Qatar University recognition was also reported by Gulf Times, while the official Stanford/Elsevier database explains the citation-indicator methodology.
Free knowledge sharing and access for all
Digital materials for several electrical-engineering courses have been developed and made publicly available through YouTube, expressing a clear belief that high-quality knowledge should be accessible beyond classroom boundaries.
Areas of Expertise
Engineering knowledge shaped for a rapidly changing world.
My work connects rigorous electrical engineering scholarship with clean-energy transformation, quality assurance, open learning, and responsible AI-era education.
Professional Engagements
Field engagement in renewable energy and quality assurance.
Selected photographs connect the portfolio narrative to renewable-energy site visits, quality-assurance leadership, and international professional participation.
Featured Thought Leadership
Protecting human thinking across the AI lifespan.
The AI education white paper examines how schools and universities can use artificial intelligence without weakening the cognitive, social, and ethical capacities that education is meant to cultivate.
Intentional Friction
Learning should preserve effort, reflection, and productive struggle rather than outsourcing thinking too early.
Developmental Scaffolding
AI use should vary across childhood, adolescence, higher education, and professional formation.
Ethical Co-Creation
The goal is not to reject AI, but to position it as a tool that strengthens judgment, creativity, and responsibility.
Professional Journey
Read the Biography
Research, leadership, and education across regions.
My professional journey connects research, teaching, leadership, and institutional development across Qatar, Oman, Japan, and Tunisia. This website brings together my biography, research interests, public teaching videos, selected projects, and current reflections on engineering education and AI.
Research
Teaching
Quality
Innovation
Media & Learning
Videos, resources, and public learning.
The site will host and organize educational videos, engineering learning resources, and selected professional materials so students, colleagues, and collaborators can access them through a clean, modern interface.
Explore Teaching VideosAdvancing clean energy, engineering education, and responsible AI learning.
I welcome professional collaboration around sustainable energy systems, engineering education quality, academic leadership, and the responsible integration of AI into learning environments.