marina


Marina Erechtchoukova

Photo of Marina Erechtchoukova

School of Information Technology

Associate Professor

Office: 3045 Victor Phillip Dahdaleh Building (DB)
(Formerly known as Technology Enhanced
Learning Building)
Phone: 416-736-2100 Ext: 30307
Email: marina@yorku.ca

Accepting New Graduate Students


Professor Erechtchoukova's research is in the fields of data-driven and model-driven decision support in environmental sustainability, application of machine learning techniques to water resources management, simulation modeling of complex systems, data modeling and database development for semistructured data, text mining, optimization of environmental monitoring and optimization of scheduling systems.

Current research projects are devoted to developing hybrid framework for hydrological predictions, sustainability appraisal, text mining of on-line educational resources, and healthcare scheduling systems.

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Professor Erechtchoukova’s research focuses on application of information technology to sustainable environmental resource assessment and management. It includes investigation and development of modern approaches to optimization of environmental monitoring, simulation modeling of water quality for environmental assessment, environmental assessment under uncertainty. Her interests include data-driven decision support for environmental sustainability, data modeling and database development for semistructured data, simulation modeling of complex systems and information systems development.

Professor Erechtchoukova teaches upper- and lower-level Information Technology courses including introductory courses and specialized ones: ITEC1010, ITEC3220, ITEC4220, and ITEC4000.

Degrees

Ph. D., Rostov State University

Professional Leadership

International Environmental Modelling and Software Society, Secretary 2014 - present
International Environmental Modelling and Software Society, Board Member 2012 - present
New College, York University, Interim College Head 2017-2018

Research Interests

Information Technologies , Environment and Sustainability, Machine learning, Water resources and Simulation modeling, Text mining , Healthcare scheduling