Konstantinos Liakos available

Konstantinos Liakos

Machine Learning/ Deep Learning/ Big Data Analysis/ Computer Vision/ Agriculture Robotics

available
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  • Freelancer in
  • Graduation: PhD-Electrical and Computer Engineering
  • Hourly-/Daily rates: 50 €/hour 200 €/day
  • Languages: English (Limited professional) | Greek (Native or Bilingual)
  • Last update: 16.01.2019
KEYWORDS
PROFILE PICTURE
Profileimage by Konstantinos Liakos Machine Learning/ Deep Learning/ Big Data Analysis/ Computer Vision/ Agriculture Robotics from
ATTACHMENTS
Konstantinos Liakos CV
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SKILLS
PROFILE
Konstantinos Liakos is a PhD candidate in Electrical and Computer Engineering, holds a MSc in Electrical and Computer Engineering and BSc in Computer Engineering. He has over 5 years of research experience in Computer Science. His specialties cover various applications fields such as Machine Learning, Deep Learning, Image Recognition, Object Detection, Big Data Analysis, Data Mining, Bioinformatics, Next Generation Sequencing, Precision Agriculture, Agriculture Robotics, Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Geographical Information System and Circuits. He has extensive experience in project collaborations with Institute for Research and Technology of Thessaly, Hellenic Pasteur Institute, Institute of Bio-Economy & Agri-Technology - Centre for Research & Technology Hellas and Central European Institute of Technology.

EXPERTISE
Scientific skills
Machine Learning, Deep Learning, Big Data Analysis, Data Mining, Object Detection, Image Recognition, Speech Recognition, Text Recognition, Bioinformatics, Next Generation Sequencing, Precision Agriculture, Agriculture Robotics, Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Geographical Information Systems, Circuits.

Programming skills
Python, Perl, R, C, C++, C#, JavaScript, Html, Css

Machine – Deep Learning Frameworks, Tools & Libraries
Tensorflow, Keras, Theano, Caffe, CUDA Toolkit, Scikit, cuDNN, OpenCV

Web Back End-Front End Frameworks, Tools & Libraries
React, Angular 4, Bootstrap 4, Django, Geodjango

Integrated Development Environment
Visual Studio, Komodo, Matlab, RStudio, Net Beans, Python GUI, Blender, Unity, Android Studio, Robot Operating
System-Gazebo, Spyder


 
REFERENCES
LIST OF PROJECTS
  1. Participation in the development of machine learning methods for “Research Synergy to address major challenges in the nexus: energy–environment–agricultural production (Food, Water, Materials)” - NEXUS, funded by the Greek Secretariat for Research and Technology (GSRT) - [Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas]
  2. Participation in the development of machine learning methods for “Innovative Technology for District Heating and Cooling” - Horizon, funded by European Union - [Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas]
  3. Participation in the development of machine learning methods for “Zero-defect manufacturing strategies towards on-line production management for European factories” - Horizon, funded by European Union - [Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas]
  4. Leader for Machine - Deep Learning mediated recognition of operational environment, route planning, object and entity recognition of Agriculture Robotics like, Unmanned Aerial Vehicles and Unmanned Ground Vehicles in “COSMOS Experiment”, a collaboration between Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas, Aristotle University of Thessaloniki, University of Thessaly, Lincoln University, University of Leicester and Center for Ecology and Hydrology National Environment Research Council - [Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas]
  5. Participation in the development of current “Farming Machineries Geographic Information System” (FMIS) - [Institute of Bio-Economy and Agri-Technology of Centre for Research & Technology Hellas]
  6. Development of the machine learning for “Intelligent computational system for defects and anomalies detection in electrical engineering” - Hardware Trojans recognition - [Department of Electrical and Computer Engineering, University of Thessaly]
  7. Participation in the development of current web portal of municipality of Volos - [Center for Research and Technology Thessaly]
  8. Development of the machine learning based software application that recognizes people with disabilities on a wheelchair and is embedded to e-tree construction - [Rotoras Ltd, Software Engineering Activity]

LIST OF RELATED PUBLICATIONS
  1. Konstantinos G Liakos, Busato P, Moshou D, Pearson S, Bochtis D. Machine Learning in Agriculture: A Review. 2018 - Sensors.
  2. Konstantinos G Liakos, Moustakidis S, Tsiotra G, Bartzanas T, Bochtis D, Constantinos Parisses. Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction. 2017 - HAICTA.
  3. Katikaridis D, Bechtsis D, Vlachos D, Konstantinos G Liakos, Bochtis D. A Software Tool for Efficient Agricultural Logistics. 2017 - HAICTA.
  4. Konstantinos G Liakos, Moustakidis S, Bartzanas T, Bochtis D. Computational Analysis Based on Machine Learning Methods for Cattle Lameness Prediction. 2017  - EGME.
  5. Katikaridis D, Bectsis D, Konstantinos G Liakos, Vlachos D, Bochtis D. A Google-Maps Based Software Tool for In-Field Logistics. 2017 - EGME.
  6. Moisiadis V, Bectsis D, Konstantinos G Liakos, Bochtis D, Vlachos D. Development of Virtual Interface for the Design and the Control Navigation of Autonomous Agricultural Vehicles. 2017 - EGME.
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