Francesco Fedele, Ph.D.
Professor – School(s) of: Civil & Environmental Engineering, Electrical & Computer Engineering
Links: Google Scholar, Faculty Directory.
Dr. Francesco Fedele leads the Fedele Lab with a vision that spans the physical and digital domains. Trained as a civil engineer with a Ph.D. from the University of Vermont, his research spans nonlinear wave phenomena, ocean energy systems, computer vision, and inverse problems in geophysics and biomedicine.
More recently, Dr. Fedele has expanded his research into artificial intelligence, focusing on the mathematical underpinnings of modern AI models and their applications to engineering problems. He brings a unique systems-level perspective to AI, integrating fluid dynamics, signal theory, and computational modeling to inform the next generation of interpretable and sustainable machine intelligence.
Kenneth (Alex) Jenkins
Head Undergraduate Researcher & Teaching Assistant – B.S. Computer Engineering
Links: Personal Site, LinkedIn.
Kenneth, also known as Alex, is the head undergraduate researcher in the Fedele Lab. Alex focuses on the fusion of artificial intelligence with real-time systems, particularly brain-computer interfaces (BCIs). His work bridges the gap between human cognition and machine learning by using biosignals to generate interactive, AI-driven multimedia.
In addition to his research, Alex serves as a teaching assistant for Dr. Fedele in Georgia Tech’s “Art & Generative AI” course, where he guides students through the creative and technical possibilities of machine learning. His work reflects a deep interest in both the capabilities and ethical boundaries of emerging technologies.
Fedele-Lab Alumni
Dennis Frank
Researcher – B.S. Civil Engineering & M.S. Computer Science
Links: LinkedIn.
Dennis Frank is a graduate of Fedele-Lab with a strong foundation in System Modeling and a keen interest in the intersection of engineering and neuroscience. His academic journey includes significant involvement in innovative projects, notably starting the Brainwave Music Generation project with Dr. Fedele.
Dennis’s interdisciplinary approach, combining engineering principles with insights from neuroscience, musical expression, and environmental science, positions him as a forward-thinking professional in the field of engineering. His contributions reflect a commitment to innovation and sustainability, addressing complex challenges through a multifaceted lens. Dennis graduated from Georgia Tech in August 2024, congrats Dennis – and best of luck! 
What Drives Us
Our lab is grounded in three core principles:
Scientific Rigor: We prioritize deep mathematical understanding and transparent methodologies in everything we build.
Interdisciplinary Collaboration: From fluid mechanics to generative art, we welcome diverse perspectives and skill sets.
Ethics: We believe that powerful tools require careful stewardship. Our projects emphasize open-source/libre development, sustainability, and human-centric design.
Collaborate With Us
We are always open to collaborations with students, researchers, and industry partners interested in the ethical advancement of science and technology. Whether you’re interested in AI, environmental modeling, or data-driven creativity, there’s a place for you in our lab!
Learn more, contribute to our projects, or just say hello: Visit our GitHub