Nick Machairas, Ph.D.
Founder and Principal
Geotechnics (strong focus on deep foundations), Predictive Analytics,
Modern Database Systems, Higher Education
Nick Machairas is an Advanced Geotechnical Analytics
expert and the founder of Groundwork AI, leading the company's
consulting, product development and educational efforts. Eager to
remain at the forefront of the digital transformation of the
Geoprofession, Nick applies advanced analytics to tough geotechnical
engineering problems while working on next-gen processes for handling
geotechnical data enabling AI-driven monitoring, design, construction
and risk assessment. He has been invited to train, write and present
on the subject at conferences and the private industry.
Nick is also a lecturer at NYU and Columbia University teaching graduate
and undergraduate courses in computing, machine learning, modern
databases and engineering ethics.
Nick earned his Doctoral degree from NYU, Master of Science from Columbia
University and Bachelor of Science in Civil Engineering from NYU.
(see CV for full list)
Machairas, N., and Iskander, M. (2020). "Advanced Data Analytics
in Geotechnics." Geostrata, American Society of Civil
Engineers, 24(4), 32–39.
Machairas, N., Li, L., and Iskander, M. (2020). "Application of
Dynamic Image Analysis to Sand Particle Classification Using Deep
Learning." Geotechnical Special Publication 317, American
Society of Civil Engineers, 612–621.
Bachus, R., Machairas, N., and Cadden, A. (2019). "DIGGS Does Deep
Foundations." Proceedings of the 44th Annual Conference on Deep
Foundations, Deep Foundation Institute, Hawthorne, New Jersey,
Machairas, N., and Iskander, M. G. (2018). "An Investigation of Pile
Design Utilizing Advanced Data Analytics.” Geotechnical Special
Publication 294, American Society of Civil Engineers (ASCE), 132–141.
Machairas, N., Highley, G. A., and Iskander, M. G. (2018). "Evaluation
of the FHWA Pile Design Method Against the FHWA Deep Foundation Load
Test Database Version 2.0." Transportation Research Record,
2672(52):268-277, SAGE Publications