About CIVINTEL

An engineering partnership that combines artificial intelligence with civil engineering, founded in Karditsa by Konstantinos Liakos and Maria Verilli.

01Our story

Why “CIVINTEL”

CIVINTEL brings together two words: civil and intelligence. The name describes who we are: a civil engineer and an AI engineer who decided to put their two professions under one roof.

Konstantinos spent more than a decade in AI research and industrial projects, from university laboratories and the U.S. Department of Energy’s Jefferson Lab to aluminium plants and fragrance laboratories in Greece. Maria designed and managed water networks for a city of 140,000, led cross-border infrastructure projects and handled buildings, permits and surveys.

We saw that many of the problems we met had the same shape: valuable information buried in data, drawings or field notes, and teams that needed it turned into clear decisions. CIVINTEL is our answer: a small team that takes responsibility from the first question to the delivered result.

Mission

To turn data, drawings and field knowledge into decisions that make industry more efficient and buildings and infrastructure better, with methods we can explain and results we can measure.

02The founders

Who you will work with

AI & Data

Konstantinos Liakos, Ph.D.

Co-founder · AI & Data Science

Konstantinos holds a Ph.D. in Electrical and Computer Engineering from the University of Thessaly, with a dissertation on intelligent systems for defect and anomaly detection. He has worked in AI research since 2014, at the Hellenic Pasteur Institute, CERTH, the University of Thessaly, the College of William & Mary and Jefferson Lab (U.S. DOE), and today at NCSR “Demokritos”.

In industry he has worked as machine-learning engineer at an aluminium rolling company and as AI advisor to fragrance and consumer-goods manufacturers, identifying use cases together with owners, R&D and IT teams. He co-founded a deep-tech company that delivered AI surface inspection for the aluminium industry.

His review “Machine Learning in Agriculture” is among the most cited in its field, and his research has more than 5,000 citations. He teaches AI and data mining at the University of Thessaly.

Ph.D. Electrical & Computer Engineering
5,000+ citations · h-index 10
University instructor in AI & Data Mining
IEEE member

kliakos@civintelgr.com LinkedIn Google Scholar

Civil Engineering

Maria Verilli, M.Sc., PMP

Co-founder · Civil Engineering & Project Management

Maria is a civil engineer from the University of Thessaly, with an M.Sc. in Hydraulic and Environmental Engineering and a second M.Sc. in Supply Chain Management and Logistics. She holds the Project Management Professional (PMP) certification.

She designed and evaluated water supply networks and reservoirs for the municipal water company of Volos, serving 140,000 residents, managing a 44-person crew and four contractors. She then led fibre-infrastructure projects in five cities in Greece and Germany as project manager.

Earlier, she worked as a freelance civil engineer on building permits, topographic and architectural plans, and managed the maintenance of 36 public buildings across four regional units.

M.Sc. Hydraulic & Environmental Engineering
M.Sc. Supply Chain Management
PMP certified (2024)
AutoCAD · WaterGEMS · GIS

mverili@civintelgr.com

03How we work

Principles we keep

Start with the question

Every project begins with a specific decision your team wants to improve, not with a technology.

Honest about limits

We tell you when data is not enough, when a model should abstain, or when a simpler solution is better.

People stay in control

Our systems support operators and engineers; they do not replace their judgement.

Confidentiality

Your data and documents stay yours. We sign NDAs and can work fully on your premises.

04Track record

Research, industry and the field

NCSR “Demokritos”

AI & HPC systems in the Pharos Greek AI Factory and the DeployAI EU programme; full-stack data platforms.

University of Thessaly

Teaching Artificial Intelligence, Data Mining and Advanced Data Management at the Department of Electrical & Computer Engineering.

William & Mary · Jefferson Lab

Postdoctoral research for the U.S. Department of Energy on GPU-scale generative models and kernel methods.

Industrial AI

Use-case discovery and AI systems with aluminium, fragrance and consumer-goods manufacturers; about 120 hours of industrial AI seminars.

Hardware security research

The HERO deep-learning method, funded by CERN’s ATTRACT programme, was cited in the official problem statement of the 2025 IEEE/ACM ICCAD CAD Contest.

Water & infrastructure

Municipal water networks, cross-border fibre projects, maintenance of 36 public buildings, permits and topographic surveys.

05Evidence

Selected publications

Peer-reviewed work behind our methods. Full list on Google Scholar.

All publications on Google Scholar

2018
Machine Learning in Agriculture: A Review
Liakos, K. G., Busato, P., Moshou, D., Pearson, S., Bochtis, D. · Sensors 18, 2674 · doi:10.3390/s18082674
2025
Machine Learning for Quality Control in the Food Industry: A Review
Liakos, K. G., Athanasiadis, V., Bozinou, E., Lalas, S. I. · Foods 14 · doi:10.3390/foods14193424
2025
Analog Design and Machine Learning: A Review
Liakos, K. G., Plessas, F. · Electronics 14 · doi:10.3390/electronics14173541
2022
GAINESIS: Generative Artificial Intelligence NEtlists SynthesIS
Liakos, K. G., Georgakilas, G. K., Plessas, F. C., Kitsos, P. · Electronics 11 · doi:10.3390/electronics11020245
2020
Conventional and Machine Learning Approaches as Countermeasures Against Hardware Trojan Attacks
Liakos, K. G., Georgakilas, G. K., Moustakidis, S., Sklavos, N., Plessas, F. C. · Microprocessors and Microsystems 79, 103295 · doi:10.1016/j.micpro.2020.103295
2020
Multi-branch Convolutional Neural Network for Identification of Small Non-coding RNA Genomic Loci
Georgakilas, G. K., Grioni, A., Liakos, K. G., et al. · Scientific Reports 10 · doi:10.1038/s41598-020-66454-3

Have a question your data or your building could answer?

A first conversation is free and without obligation. Tell us what you want to achieve and we will tell you honestly whether and how we can help.

Discuss a project +30 697 671 1171