Dr. Abel Sanchez

Research Scientist

Primary DLC

Department of Civil and Environmental Engineering

MIT Room: 1-250

Recent Work

  • Video

    11.3.20 Digital Integration John Williams-Abel Sanchez

    November 3, 2020Conference Video Duration: 45:47
    John Williams
    Professor of Information Engineering, Civil and Environmental Engineering and Engineering Systems

    Abel Sanchez
    Director, Geospatial Data Center (GDC)

    11.3.20-Digital-Integration-Panel-Discussion-W.Chu-P.Weckesser-K.Ruberg-J.Peng-A.Pentland-J.Williams-A.Sanchez

    November 3, 2020Conference Video Duration: 63:22
    Wilson Chu
    Chairman, Defond Group
    Peter Weckesser
    Chief Digital Officer, Schneider Electric
    Kalev Ruberg
    VP Future & Chief Innovation Officer, Teck Resources Limited
    John Peng
    EVP & Chief Digital Officer, iSoftStone
    Alex Pentland
    Toshiba Professor of Media Arts and Sciences, MIT Media Lab
    John Williams
    Professor of Information Engineering, Civil and Environmental Engineering and Engineering Systems
    Abel Sanchez
    Director, Geospatial Data Center (GDC)

    2020-Digital-Trans-Day1-Panel

    April 20, 2020Conference Video Duration: 26:25

    Panel Discussion on Corporate Agility and Situational Awareness

    2020-Digital-Trans-Day1-Abel-Sanchez

    April 20, 2020Conference Video Duration: 44:0

    Cybersecurity for Leaders/Executives

    Abel Sanchez - 2019 ICT Conference

    April 16, 2019Conference Video Duration: 36:35

    Situational Awareness Tool for Cyber Security Event Prediction and Quantification (SAFFRON)

    SAFFRON is a risk modeling and data analytics tool that allows energy delivery OT operators to better understand the risks associated with cyber threats. At present they do not have the capability to fully understand the risks associated with the cyber threats of today and tomorrow – risks that will continue to grow as Information Technology (IT) and Operations Technology (OT) networks increasingly integrate. It is important to have a better understanding of these risks, costs, and potential consequences. This aggregation of risk data will inform EDS OT operators in understanding how risk changes as the software deployed changes, and support actions (i.e., identify corrective actions that reduce the risk.) Similarly, risk computation will support operators in equipment replacement and procurement by quantifying device risk and impact on the network. SAFFRON has developed a risk model and data analytics tool, along with the necessary algorithms that identify risk tolerance and strategy for assessing, responding to, and monitoring cyber security risks. Foundational validated research is presingly neededed to develop risk models and visual analytics that are understandable to OT operators and leads to or even suggests corrective action. The tool uses a simulation model of the physical/IT system and acts as a proxy for the physical infrastructure.
     
    2019 MIT Information and Communication Technologies Conference