Harut Shahumyan

Harut Shahumyan

Ireland
1K followers 500+ connections

About

I am a Marie Curie Alumni and a Director of a Data Science team at Optum Ireland with…

Activity

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Experience

  • Optum Graphic

    Optum

    Dublin, County Dublin, Ireland

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    Ireland

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    County Dublin, Ireland

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    Dublin, Ireland

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    London, United Kingdom

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    Maryland, USA

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    Dublin, Ireland

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    Dublin, Ireland

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    Dublin, Ireland

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    Yerevan, Armenia

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    Yerevan, Armenia

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    Armenia

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    Yerevan, Armania

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    South Caucasus

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    Yerevan, Armenia

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    Cambridge, United Kingdom

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    Yerevan, Armenia

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Education

  • Institute for Informatics and Automation Problems of National Academy of Sciences of Armenia

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    PhD thesis entitled: "Investigation of Demographic and Medical Statistical Models".
    Diploma ( Doctor of Engineering )

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Licenses & Certifications

Volunteer Experience

  • Reviewer

    Scientific Journals

    Science and Technology

    - Journal of Urban Planning and Development
    - Journal of Transport and Land Use
    - European Journal of Remote Sensing
    - European Science Foundation Pool of Reviewers

  • Website Developer

    Armenian Community of Ireland

    - Present 14 years

    Arts and Culture

    http://www.armenians.ie

  • Principal

    St. Hripsime Armenian Sunday School in Dublin

    - Present 9 years

    Education

Publications

  • Integration of land use, land cover, transportation, and environmental impact models: Expanding scenario analysis with multiple modules

    Environment and Planning B Planning and Design

    It is an expensive and time-consuming task to develop a new model. Furthermore, a single model often cannot provide answers required for complex decision making based on multiple criteria. Coupling models are often applied to make use of existing models and analyze complex policy questions. This paper provides an overview of possible model integration approaches, briefly explains the modules that were integrated in a particular application, and focuses on the integration methods applied in this…

    It is an expensive and time-consuming task to develop a new model. Furthermore, a single model often cannot provide answers required for complex decision making based on multiple criteria. Coupling models are often applied to make use of existing models and analyze complex policy questions. This paper provides an overview of possible model integration approaches, briefly explains the modules that were integrated in a particular application, and focuses on the integration methods applied in this research. While the initial attempt was to integrate all models as tightly as possible, the authors developed a much more agile integration approach that allows adding and replacing individual modules easily. Python wrappers were developed to loosely couple land use, land cover, transportation, and emission models developed in different environments. ArcGIS Model Builder was used to provide a graphical user interface and to present the models’ workflow. The suggested approach is especially efficient when the models are developed in different programming languages, their source codes are not available, or the licensing restrictions make other coupling approaches impractical.

    Other authors
    • Rolf Moeckel
    See publication
  • Spatial Analytic Approaches Assessing Socio-Economic Development of the Dublin Region Compared with Other Regions in Ireland

    Dublin Regional Authorities

    Other authors
  • Dublin, Ireland's Flagship - Final Synthesis Report

    School of Geography, Planning and Environmental Policy. University College Dublin

    This piece of research was carried out to examine the role that the Dublin city region has in the national context and its value to Ireland as a global city of scale. The process through which this was achieved was firstly by examining available data and then by using this data to produce a spatial analytical assessment of Dublin's role. This was followed by structured discussions with key policy makers and economic development stakeholders in the city region to explore key issues. It also…

    This piece of research was carried out to examine the role that the Dublin city region has in the national context and its value to Ireland as a global city of scale. The process through which this was achieved was firstly by examining available data and then by using this data to produce a spatial analytical assessment of Dublin's role. This was followed by structured discussions with key policy makers and economic development stakeholders in the city region to explore key issues. It also utilized existing datasets and international benchmarks of performance.

    In order to set a context for this work the dynamics of urban growth, demographic trends and urban economics are explained in brief. In this context the synthesis then extracts some of the key findings and results of the research and presents an initial suite of recommendations. It is intended that the findings of this research will provide a means through which policy makers can advance further policy development for the city region.

    Other authors
    See publication
  • Evidence of Contemporary Challenges for Rural and Agricultural Areas Experiencing Rapid Development Pressure in the Dublin Region

    Les Cahiers De La Fondation 11: 141-149

    Other authors
  • National Borders and Transport corridors in Europe: Evidence of linkages in the Dublin-Belfast corridor in Planning Support Tools: Policy Analysis, Implementation and Evaluation

    Edited by Michele Campagna, Andrea De Montis, Federica Isola, Sabrina Lai, Cheti Pira, Corrado Zoppi, Publisher FrancoAngeli, Milano, ISBN: 9788856875973, pp. 193-205.

    Other authors
  • Collating and Assessing the Availability and Applicability of Socio-Economic Data and Information Relating to Development of The Dublin Region

    Dublin Regional Authority

    The Report groups and analyses the wealth of quantitative evidence available on a regional basis relevant to the study aims and objectives. It lays the building blocks for business, demographic and economic analysis with spatial outputs. It collates the data of the Local Authorities, CSO (Central Statistics Office), Dublin City Council (DCC), ESRI, NTA (National Transport Agency), FORFAS, IDA, the Universities and Institutes, and other relevant sources.

    Other authors
    See publication
  • Implementing a decision-theoretic design in clinical trials: Why and how?

    Statistics in Medicine, 26 (27):4938-4957

    This paper addresses two main questions: first, why should Bayesian and other innovative, data-dependent design models be put into practice and, secondly, given the past dearth of actual applications, how might one example of such a design be implemented in a genuine example trial?

    Other authors
    • Palmer Chris
    See publication
  • The Investigation of Population Alteration in Armenia

    Transactions of the Institute of Economical Researches :196-201

    Other authors
    • Haroutunian E. A.
  • Statistical Software Packages In: Probability and Applied Statistics

    Yerevan, Armenia: Gitutiun Publishing House of NAS of RA

    A chapter on Statistical software in the textbook for post-graduate students.

  • Applying Spatial Indicators to Support a Sustainable Urban Futures

    Environmental Practice 15, no. 1, Cambridge University Press.

    Other authors
  • Regional Development Scenario Evaluation through Land Use Modelling and Opportunity Mapping

    Land 2014, 3(3), 1180-1213; doi:10.3390/land3031180

    In the context of sustainable urban development, the application of selected indicators integrated with scenario simulation and analysis can contribute to evidence-based decision making. This paper discusses the application of land use modelling and opportunity mapping approaches to evaluate regional development scenarios for the Greater Dublin Region in the period to 2026 evolving from research initially developed with the Dublin Regional Authority. This involved the simulation of four…

    In the context of sustainable urban development, the application of selected indicators integrated with scenario simulation and analysis can contribute to evidence-based decision making. This paper discusses the application of land use modelling and opportunity mapping approaches to evaluate regional development scenarios for the Greater Dublin Region in the period to 2026 evolving from research initially developed with the Dublin Regional Authority. This involved the simulation of four different future regional development scenarios using an adapted version of the MOLAND model with opportunity maps based on combined spatial indicators corresponding to these scenarios. The results produce valuable information for policy makers and planners assisting the evaluation of the consequences of their decisions in both a spatial and temporal context. This paper aims to show how current and future planning and economic policy can make targeted and evidence-based policy interventions and achieve resource efficiencies through the use of scenario analysis.

    Other authors
    See publication

Courses

  • Advanced Project Management

    1 day

  • Building Web Maps using ArcGIS API for Flex, ESRI

    2 days

  • Comprehensive Cube Training Workshop, CitiLab, Washington, DC

    3 day

  • Developing Applications with ArcGIS Server, ESRI

    3 days

  • HarvardX: PH207x Quantitative Methods in Clinical & Public Health Research

    12 weeks

  • Improving communication skills

    1 day

  • Introduction to ArcGIS 9, part 2, GIS Project

    2 days

  • Introduction to ArcGIS Server, ESRI

    2 days

  • Introduction to Econometrics, Russian Economic School

    5 days

  • Introduction to Practical Project Management’

    1 day

  • Introduction to Spatial and 3D Analyst, ESRI

    1 day

  • Introductory Statistics and Research Methods, University of Cambridge

    1 day

  • Managing Confidential Data for Research

    1 day

  • Negotiation skills

    1 day

  • Presentation Skills

    2 days

  • Programming in Java, NCSG

    1 day

  • Project Management for Researchers

    2 days

  • Report writing

    2 days

  • Small Area Estimation, International Association of Survey Statisticians

    1 day

  • Spatial Analysis Techniques for Public Health, URISA

    1 day

  • Survey Sampling, International Association of Survey Statisticians

    1 day

  • The Data Scientist’s Toolbox (online), John Hopkins University through Coursera

    8 weeks

  • Time Management for Researchers

    1 day

  • Using of ArcGIS Spatial Analyst, GIS Project

    2 days

  • Working with Network Analyst, ESRI

    2 days

  • Writing Effective Research Proposals

    1 day

Projects

  • Big Data Driven Geo-Spatial Models Supporting Public Health (BigDataGeoSuPH)

    - Present

    With some 32 million people in Europe with asthma and an associated cost of €18 billion per year, asthma represents one of the major medical challenges worldwide. Ireland has the 4th highest prevalence of asthma in the world. The BigDataGeoSuPH project aims to reduce asthma burden in Ireland with the help of pinpointing the time and location of inhaler usage and overlaying it with data from sensors and other sources and modelling the effects of the environment on the asthma symptoms…

    With some 32 million people in Europe with asthma and an associated cost of €18 billion per year, asthma represents one of the major medical challenges worldwide. Ireland has the 4th highest prevalence of asthma in the world. The BigDataGeoSuPH project aims to reduce asthma burden in Ireland with the help of pinpointing the time and location of inhaler usage and overlaying it with data from sensors and other sources and modelling the effects of the environment on the asthma symptoms. Particularly, it will connect city-wide air, weather, and traffic monitoring sensors with the crowd-sourced data from an asthma tracking mobile application and will explore the correlations within this big data. An algorithm will be developed to identify the healthiest route and transport mode based on real time sensor data, required physical activity, and more. This will be tailored to the needs of people with asthma, using the inhaler usage crowd-sourced data. Furthermore, land use, transportation, health impact and climate models will be applied to simulate future scenarios and to analyse risks associated with asthma.

    Other creators
    See project
  • Geo-Spatial Modelling Informing Policy (GeoSInPo)

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    Led by Marie Sklodowska-Curie Research Fellow Dr. Harutyun Shahumyan, the EC-supported GeoSInPo project aimed to achieve a thorough understanding of the dynamic processes involved in land use and transportation models, improving existing models, studying different approaches for their integration as well as coupling them with other relevant models (demographic, economic, water quality, etc.). The main objective of the project was to develop Spatial Decision Support Systems built on the existing…

    Led by Marie Sklodowska-Curie Research Fellow Dr. Harutyun Shahumyan, the EC-supported GeoSInPo project aimed to achieve a thorough understanding of the dynamic processes involved in land use and transportation models, improving existing models, studying different approaches for their integration as well as coupling them with other relevant models (demographic, economic, water quality, etc.). The main objective of the project was to develop Spatial Decision Support Systems built on the existing urban and environmental models to inform decision makers through evidence-based scenario and policy analysis. The project also aimed to engage with the stakeholders involved in land use, transportation, urban planning and watershed management in the study regions to analyse policy options for regional development in response to different ‘what if’ scenarios in the context of population growth, urbanisation, climate change, sea level rise, and more.

    See project
  • EU/FP7 EcoArm2ERA

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    EU Cooperation Capacity Building of Center for Ecological-Noosphere Studies of National Academy of Sciences of Armenia: Towards Armenia’s integration into the ERA

    Other creators
    See project
  • Urban Environment Project (UEP)

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    The research aimed to better understand the link between development, land-use change and associated economic and environmental impacts within urban regions. At the core of the original project is MOLAND a land-use computer model which includes socio-economic and demographic information. The original UEP focused on 6 themes; air quality, urban transport, biodiversity, climate change, urban sprawl and the green city. Dr Shahumyan leads the modelling and geospatial analytic tasks of the team. A…

    The research aimed to better understand the link between development, land-use change and associated economic and environmental impacts within urban regions. At the core of the original project is MOLAND a land-use computer model which includes socio-economic and demographic information. The original UEP focused on 6 themes; air quality, urban transport, biodiversity, climate change, urban sprawl and the green city. Dr Shahumyan leads the modelling and geospatial analytic tasks of the team. A successful example of generating innovative modelling solutions to real world problems was achieved in an application of the MOLAND model, which formed an important part of the latest review of the Regional Planning Guidelines.

    See project
  • USAID|NOVA

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    USAID's Maternal Child Health and Reproductive Health Project in Armenia

    Other creators
    See project

Honors & Awards

  • Marie Skłodowska-Curie / EDGE Fellowship

    European Commission and Science Fundation Ireland

    Big Data Driven Geo-Spatial Models Supporting Public Health (BigDataGeoSuPH), EUR 266,050, 2017-2020

  • Marie Curie Global Fellowship

    European Commission

    FP7-PEOPLE-2013-IOF: Marie Curie International Outgoing Fellowship for Career Development: Geo-Spatial Modelling Informing Policy (GeoSInPo), EUR 364,476, 2014-2017

Languages

  • English

    Professional working proficiency

  • Russian

    Professional working proficiency

  • Armenian

    Native or bilingual proficiency

Organizations

  • The International Environmental Modelling & Software Society (IEMSS)

    Member

    - Present
  • European Science Foundation Pool of Reviewers (ESF)

    Reviewer

    - Present
  • The Irish Organisation for Geographic Information (IRLOGI)

    Member

    - Present

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