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Hire Dr. Emmanuel M.

United Kingdom

USD 100 /hr

Software engineering | Startup MVPs | Data Science | Optimization | Applied Maths

Profile Summary

I help companies build challenging software. I have a PhD in machine learning and I'm the author of the best-selling AI book 'Smart Until It's Dumb'.

Subject Matter Expertise

• ★ Applied Mathematics
• ★ Mathematical Optimization
• ★ Python
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Deep Learning
• ☆ Business Analytics
• ☆ Statistics
• ☆ SQL
• ☆ Java
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn

Services

• Research
• Consulting
• Data & AI
• Product Development

Research Feasibility Study, Fact Checking, Scientific and Technical Research, Systematic Literature Review

Consulting Business Strategy Consulting, Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Formulation, Recipe Development, Product Evaluation, Product Validation, Concept Development, Prototyping

Work Experience

Software Engineer and Data Scientist

Vodafone, TUI, Trippers, XWatts, and more

April 2020 - Present

Senior Data Scientist

Expedia

November 2018 - March 2020

Data Scientist

Option Way

March 2018 - November 2018

Education

Computer Science PhD

Université de Nice-Sophia Antipolis - France

May 2014 - June 2017

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

et al., Emmanuel Maggiori, Pedram Ghamisi, Shutao Li, Roberto Souza, Yuliya Tarablaka, Gabriele Moser, Andrea De Giorgi, Leyuan Fang, Yushi Chen, Mingmin Chi(2018). New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning . IEEE Geoscience and Remote Sensing Magazine. 6. (3). p. 10--43. Institute of Electrical and Electronics Engineers ({IEEE})

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez(2017). High-Resolution Aerial Image Labeling With Convolutional Neural Networks . IEEE Transactions on Geoscience and Remote Sensing. 55. (12). p. 7092--7103. Institute of Electrical and Electronics Engineers ({IEEE})

Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez(2017). Recurrent Neural Networks to Correct Satellite Image Classification Maps . IEEE Transactions on Geoscience and Remote Sensing. 55. (9). p. 4962--4971. Institute of Electrical and Electronics Engineers ({IEEE})

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez(2017). Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification . IEEE Transactions on Geoscience and Remote Sensing. 55. (2). p. 645--657. Institute of Electrical and Electronics Engineers ({IEEE})

Emmanuel Maggiori, Hugo Luis Manterola, Mariana del Fresno(2015). Perceptual grouping by tensor voting: a comparative survey of recent approaches . IET Computer Vision. 9. (2). p. 259--277. Institution of Engineering and Technology ({IET})

Emmanuel Maggiori, Pablo Lotito, Hugo Luis Manterola, Mariana del Fresno(2014). Comments on “A Closed-Form Solution to Tensor Voting: Theory and Applications” . IEEE Transactions on Pattern Analysis and Machine Intelligence. 36. (12). p. 2567--2568. Institute of Electrical and Electronics Engineers ({IEEE})

CONFERENCE PAPER

Maggiori, E., Tarabalka, Y., Charpiat, G., Alliez, P.(2018). Polygonization of remote sensing classification maps by mesh approximation . Proceedings - International Conference on Image Processing, ICIP. 2017-September. p. 560-564.

Maggiori, E., Tarabalka, Y., Charpiat, G., Alliez, P.(2017). Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark . International Geoscience and Remote Sensing Symposium (IGARSS). 2017-July. p. 3226-3229.

Maggiori, E., Tarabalka, Y., Charpiat, G., Alliez, P.(2017). High-resolution image classification with convolutional networks . International Geoscience and Remote Sensing Symposium (IGARSS). 2017-July. p. 5157-5160.

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez(2016). Fully convolutional neural networks for remote sensing image classification . 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). {IEEE}

Maggiori, E., Tarabalka, Y., Charpiat, G., Alliez, P.(2016). Fully convolutional neural networks for remote sensing image classification . International Geoscience and Remote Sensing Symposium (IGARSS). 2016-November. p. 5071-5074.

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat(2015). Improved partition trees for multi-class segmentation of remote sensing images . 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical {\&} Electronics Engineers ({IEEE})

Maggiori, E., Tarabalka, Y., Charpiat, G.(2015). Improved partition trees for multi-class segmentation of remote sensing images . International Geoscience and Remote Sensing Symposium (IGARSS). 2015-November. p. 1016-1019.

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat(2015). Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior . Procedings of the British Machine Vision Conference 2015. British Machine Vision Association and Society for Pattern Recognition