Emmanouil Christoforou

About Me

My name is Emmanouil Christoforou and I am a Phd student at the Department of Telecommunications and Informatics in University of Athens under the supervision of Prof. Ioannis Z. Emiris. I am also a member of the Laboratory of Algebraic and Geometric Algorithms (ΕρΓΑ).

Short Bio

2018 - Present, PhD student researching "Approximate geometric algorithms for search and clustering", supervised by Prof. Ioannis Z. Emiris
Dept. of Informatics and Telecommunications, Univeristy of Athens, Athens, Greece

2018, MSc in Bioinformatics
Dept. of Informatics and Telecommunications, Univeristy of Athens, Athens, Greece
Thesis: "Advanced clustering methods for identifying bioactive molecular conformations", supervised by Prof. Ioannis Z. Emiris, (pdf, 10-page summary)

2015, BSc in Computer Science
Athens University of Economics and Business, Athens, Greece
Thesis: "Simplifying Mixture Models using Variational Expectation Maximization", supervised by Prof. Michalis K. Titsias

My complete CV can be found here.

Experience

Optasia

Machine Learning Engineer

Develop and deploy advanced algorithms, build ML flows, design, and develop statistical and machine learning algorithms and operationalize them in credit risk management.

TAZI AI Systems

Machine Learning Solutions Engineer

Design and develop ML models for R&D projects. Worked on MRI device condition monitoring using Anomaly Detection and Explainable AI.

Pythagoras Systems

Software & Machine Learning Engineer

Designed and developed rating and ranking systems for daily cryptocurrency evaluation (Blockchain, Technical & Twitter Sentiment Analysis) using neural networks and user-defined weighted functions. Results were daily distrbuted to website.

Inria Sophia Antipolis - Méditerranée

Software Engineer

Development and distribution of the algebraic-geometric modeling software AXL, within the AROMATH team of the Sophia Antipolis - Méditerranée research center.

Helic

Software Engineer

Modified and integrated existing SaaS platform to a cloud infrastructure as part of a European project for CloudFlow.

Education

Phd student

2018 - Present

Approximate geometric algorithms for search and clustering
Supervised by Prof. Ioannis Z. Emiris
University of Athens, Dept. of Telecomuncations and Informatics

Master of Science in Bioinformatics

2018

University of Athens
Dept. of Telecomuncations and Informatics

Bachelor of Science in Computer Science

2015

Athens University of Economics and Business

Publications

2022

Christoforou, E., Leontiadou, H., Noé, F., Samios, J., Emiris, I. Z., and Cournia, Z. Investigating the Bioactive Conformation of Angiotensin II Using Markov State Modeling Revisited with Web-Scale Clustering. Journal of Chemical Theory and Computation 2022 18 (9), 5636-5648
Christoforou, E., Blom, K., Gao, Q., Börü, M., and Cataltepe T. MRI Condition Monitoring with Explainable AI and Feature Selection 2022 30th Signal Processing and Communications Applications Conference (SIU), 2022

2021

Chalkis, A., Christoforou, E., Dalamagas, T., and Emiris, I. Z. Modeling of crisis periods in stock markets. In Learning and Intelligent Optimization (Cham, 2021), D. E. Simos, P. M. Pardalos, and I. S. Kotsireas, Eds., Springer International Publishing, pp. 55–65.
Chalkis, A., Christoforou, E., Emiris, I. Z., and Dalamagas, T. Modeling asset allocations and a new portfolio performance score. Digital Finance (09 2021), 1–39.
Christoforou, E., Emiris, I., Florakis, A., Rizou, D., and Zaharia, S. Spatio-temporal deep learning for day-ahead wind speed forecasting relying on wrf predictions. Energy Systems (09 2021), 1–21.

2020

Christoforou, E., Emiris, I. Z., and Florakis, A. Neural networks for cryptocurrency evaluation and price fluctuation forecasting. In Mathematical Research for Blockchain Economy (Cham, 2020), P. Pardalos, I. Kotsireas, Y. Guo, and W. Knottenbelt, Eds., Springer International Publishing, pp. 133–149.

2018

Christoforou, E., Mantzaflaris, A., Mourrain, B., and Wintz, J. Axl, a geometric modeler for semi-algebraic shapes. In Mathematical Software – ICMS 2018 (Cham, 2018), J. H. Davenport, M. Kauers, G. Labahn, and J. Urban, Eds., Springer International Publishing, pp. 128–13.

Emmanouil Christoforou

PhD student

About Me

Short Bio

Experience

Optasia

Machine Learning Engineer

TAZI AI Systems

Machine Learning Solutions Engineer

Pythagoras Systems

Software & Machine Learning Engineer

Inria Sophia Antipolis - Méditerranée

Software Engineer

Helic

Software Engineer

Education

Phd student

Approximate geometric algorithms for search and clustering
Supervised by Prof. Ioannis Z. Emiris
University of Athens, Dept. of Telecomuncations and Informatics

Master of Science in Bioinformatics

University of Athens
Dept. of Telecomuncations and Informatics

Bachelor of Science in Computer Science

Athens University of Economics and Business

Publications

Christoforou, E., Leontiadou, H., Noé, F., Samios, J., Emiris, I. Z., and Cournia, Z. Investigating the Bioactive Conformation of Angiotensin II Using Markov State Modeling Revisited with Web-Scale Clustering. Journal of Chemical Theory and Computation 2022 18 (9), 5636-5648

Christoforou, E., Blom, K., Gao, Q., Börü, M., and Cataltepe T. MRI Condition Monitoring with Explainable AI and Feature Selection 2022 30th Signal Processing and Communications Applications Conference (SIU), 2022

Chalkis, A., Christoforou, E., Dalamagas, T., and Emiris, I. Z. Modeling of crisis periods in stock markets. In Learning and Intelligent Optimization (Cham, 2021), D. E. Simos, P. M. Pardalos, and I. S. Kotsireas, Eds., Springer International Publishing, pp. 55–65.

Chalkis, A., Christoforou, E., Emiris, I. Z., and Dalamagas, T. Modeling asset allocations and a new portfolio performance score. Digital Finance (09 2021), 1–39.

Christoforou, E., Emiris, I., Florakis, A., Rizou, D., and Zaharia, S. Spatio-temporal deep learning for day-ahead wind speed forecasting relying on wrf predictions. Energy Systems (09 2021), 1–21.

Christoforou, E., Mantzaflaris, A., Mourrain, B., and Wintz, J. Axl, a geometric modeler for semi-algebraic shapes. In Mathematical Software – ICMS 2018 (Cham, 2018), J. H. Davenport, M. Kauers, G. Labahn, and J. Urban, Eds., Springer International Publishing, pp. 128–13.

Skills

Contact me

Emmanouil Christoforou

PhD student

About Me

Short Bio

Experience

Optasia

Machine Learning Engineer

TAZI AI Systems

Machine Learning Solutions Engineer

Pythagoras Systems

Software & Machine Learning Engineer

Inria Sophia Antipolis - Méditerranée

Software Engineer

Helic

Software Engineer

Education

Phd student

Approximate geometric algorithms for search and clustering Supervised by Prof. Ioannis Z. Emiris University of Athens, Dept. of Telecomuncations and Informatics

Master of Science in Bioinformatics

University of Athens Dept. of Telecomuncations and Informatics

Bachelor of Science in Computer Science

Athens University of Economics and Business

Publications

Christoforou, E., Leontiadou, H., Noé, F., Samios, J., Emiris, I. Z., and Cournia, Z. Investigating the Bioactive Conformation of Angiotensin II Using Markov State Modeling Revisited with Web-Scale Clustering. Journal of Chemical Theory and Computation 2022 18 (9), 5636-5648

Christoforou, E., Blom, K., Gao, Q., Börü, M., and Cataltepe T. MRI Condition Monitoring with Explainable AI and Feature Selection 2022 30th Signal Processing and Communications Applications Conference (SIU), 2022

Chalkis, A., Christoforou, E., Dalamagas, T., and Emiris, I. Z. Modeling of crisis periods in stock markets. In Learning and Intelligent Optimization (Cham, 2021), D. E. Simos, P. M. Pardalos, and I. S. Kotsireas, Eds., Springer International Publishing, pp. 55–65.

Chalkis, A., Christoforou, E., Emiris, I. Z., and Dalamagas, T. Modeling asset allocations and a new portfolio performance score. Digital Finance (09 2021), 1–39.

Christoforou, E., Emiris, I., Florakis, A., Rizou, D., and Zaharia, S. Spatio-temporal deep learning for day-ahead wind speed forecasting relying on wrf predictions. Energy Systems (09 2021), 1–21.

Christoforou, E., Mantzaflaris, A., Mourrain, B., and Wintz, J. Axl, a geometric modeler for semi-algebraic shapes. In Mathematical Software – ICMS 2018 (Cham, 2018), J. H. Davenport, M. Kauers, G. Labahn, and J. Urban, Eds., Springer International Publishing, pp. 128–13.

Skills

Contact me

Approximate geometric algorithms for search and clustering
Supervised by Prof. Ioannis Z. Emiris
University of Athens, Dept. of Telecomuncations and Informatics

University of Athens
Dept. of Telecomuncations and Informatics