Sunil Sinha

 SunilK. Sinha

Sunil K. Sinha

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Biography

Sunil K Sinha is a/an Professor in the University Of California department at University Of California

Virginia Tech - Civil Engineering


Resume

  • 2001

    Penn State University

    State College

    Pennsylvania

    Research

    Teaching

    and Consulting in the areas of infrsatructure system

    Assistant Professor

    Penn State University

    Professor of Civil and Environmental Engineering and Director of Sustainable Water Infrastructure Management (SWIM) Center at Virginia Tech.\nResearch

    Teaching

    and Consulting are in the areas of asset management

    pattern recognition

    sensor informatics

    sustainable and resilient infrastructure

    especially drinking water

    wastewater

    and stormwater infrastructure systems.

    Virginia Tech

    Post-Doctoral Fellowship

    Natural Sciences & Engineering Research Council (NSERC)

    Canada

    CAREER Award titled “Sustainable Water Infrastructure Management System (SWIMS)

    National Science Foundation (NSF)

    College of Engineering Faculty Fellow

    Virginia Tech

    Schreyer Institute InSPIRE Academy Fellow

    Penn State

    Liquid Assets: The Story of Our Water Infrastructure has been awarded the Engineering Journalism Award

    American Association of Engineering Societies

    International Research and Education in Engineering (IREE) Award

    National Science Foundation (NSF)

  • 1997

    PhD Dual Degree

    Dissertation Topic: Automated Pipeline Condition Assessment Using Advanced Computer Vision

    Civil Engineering and Systems Engineering

    CSCE

    NASTT

    University of Waterloo

  • 1996

    M.A.Sc.

    Thesis Topic: An Artificial Neural Network Approach to Predict Organizational Effectiveness

    Master of Applied Science in Civil Engineering

    Project Management

    University of Waterloo

  • 1989

    The World Bank

    Environmental impact analysis of infrastructure projects

    The World Bank

  • 1982

    Bachelor of Engineering (BE)

    Civil Engineering

    Photographic

    BIT MESRA

  • The Utility Infrastructure Asset Management (UIAM) Division will advance and disseminate knowledge related to the holistic life-cycle asset management of utility infrastructure that will assure resiliency and sustainability. This Division will support the goal of UTILITY ENGINEERING AND SURVEYING INSTITUTE (UESI) to provide leadership to utilities for effectively managing their systems to be reliable

    resilient and sustainable. UIAM will provide expert leadership that will support the development of ASCE’s American Infrastructure Report Card.

    American Society of Civil Engineers

    Vice-Chair - Water Sector Systems Resilience Standing Committee

    Recent floods

    tornadoes

    and earthquakes remind us that natural

    technological

    and human-caused hazards take a high toll on communities. Costs in lives

    livelihoods and quality of life can be reduced by better managing disaster risks. We can strengthen resilience and improve a community's ability to maintain and restore vital services in a more timely way and to build back better.\n\nTo address this challenge

    NIST manages a multi-faceted program

    assisting communities and stakeholders on issues related to buildings and the interdependencies of physical infrastructure systems. The Community Resilience Program

    part of NIST's broader disaster resilience work

    complements efforts by others in the public and private sectors.\n

    National Institute of Standards and Technology

    Stormwater Management

    Water Resources

    Modeling

    Environmental Awareness

    GIS

    Water Quality

    Matlab

    Sustainability

    ArcGIS

    Computer Vision

    Engineering

    Numerical Analysis

    Structural Analysis

    Environmental Engineering

    Water

    Mathematical Modeling

    Hydrology

    Geotechnical Engineering

    Wastewater Treatment

    Civil Engineering

    A Validation and Verification Framework for Robust Drinking Water Pipeline Model Prediction Models

    Many models are used to evaluate and predict risk analysis

    as well as renewal prioritization

    of drinking water and wastewater pipelines. The majority have not been accurate enough to be used for real decision making applications. This paper proposes a model framework for asset management programs with two major stages; verification and validation. The verification stage confirms that there are no errors in the code or logic in the model’s algorithm. Two approaches make up the models’ verification framework--tests with artificial data and tests with field data. The second stage of the proposed framework validates that the model goes through three steps: lab tests

    expert opinions and model’s outputs. Evaluation results were compared to confirm the model’s accuracy. This framework is precise enough to prove the correctness and accuracy of many different types of models created for decision support for asset management of drinking water pipelines.\n

    A Validation and Verification Framework for Robust Drinking Water Pipeline Model Prediction Models

    This paper presents a methodology for developing a national database

    as applied to water infrastructure systems that include both drinking water and wastewater. The database is branded as WATERiD and can be accessed through internet.

    Development of a Water Infrastructure Knowledge Database

    The practices from water and wastewater utilities were determined by the help of participation utilities to the WATERiD Database. Case studies in locating technology applications and locating practice application was written to capture these practices. These case studies were also supplemented by phone interviews with various utilities. Comparison between the literature and utility practice indicated various gaps in the utility practice. Recommendations are offered to fill these gaps for an effective use of underground utility practices by water and wastewater utilities. These recommendation include adaptation and implementation of specific best practices of transportation industry by the water and wastewater utilities.

    Underground Utility Locating Technology (INFR9SG09/INFR10SG09UULT)

    Development of a Fuzzy Inference Performance Index for Water Pipe

    The primary objective of this paper is to develop a fuzzy inference performance index for metallic drinking water pipelines. Evaluation of the performance index is accomplished through testing of artificial

    field

    and lab data.

    Development of a Fuzzy Inference Performance Index for Water Pipe

    This paper presents a standard data structure for predicting the remaining physical life and consequence of failure of water pipes. Correlating the various pipe material types with the pipe life cycle

    failure modes and mechanisms are crucial in defining the various parameters.

    Standard Data Structure for Predicting the Life and Consequence of Failure of Water Pipes

    This paper focuses on the development of a web-based geospatial tool as a proof of concept to assist water utilities in performing a network-level risk screening of their buried pipeline infrastructure systems. This tool provides a preliminary risk screening at a high level to quickly identify problematic (hot spot) areas and help guide decisions about where to further analyze pipeline infrastructure.

    Web-Based and Geospatially Enabled Risk Screening Tool for Water Pipeline

    The objective of this research is to analyze the capabilities and limitations of current condition assessment technologies and performance prediction methods and to propose direction for future research on PCCP by considering its failure factors

    modes

    and mechanisms.

    Failure Analysis

    Condition Assessment Technologies

    and Performance Prediction of Prestressed-Concrete Cylinder Pipe

    The proposed performance-rating system evaluates each parameter and combines them mathematically through a weighted summation and a fuzzy inference system that reflects the importance of the various factors. The framework provides a noticeable improvement from the conventional practice of using solely inspection data as a means to evaluate wastewater pipe.

    Development of a Robust Wastewater Pipe Performance Index

    The practices from water and wastewater utilities were determined by the help of participation utilities to the WATERiD Database. Case studies in locating technology applications and locating practice application was written to capture these practices. These case studies were also supplemented by phone interviews with various utilities. Comparison between the literature and utility practice indicated various gaps in the utility practice. Recommendations are offered to fill these gaps for an effective use of underground utility practices by water and wastewater utilities. These recommendation include adaptation and implementation of specific best practices of transportation industry by the water and wastewater utilities.

    Underground Utility Locating Technology (INFR9SG09/INFR10SG09UULT)

    Stochastic Simulation Methodology for Resilience Assessment of Water Distribution Networks

    This paper presents a novel network-based methodology to evaluate resilience of water distribution systems. This methodology utilises stochastic simulation on a network model to generate statistical data on the resilience probability of the actual water infrastructure system. The methodology is a management decision support tool for enhancing system preparedness.

    Stochastic Simulation Methodology for Resilience Assessment of Water Distribution Networks

    A comprehensive approach to managing our capital assets is overdue - one that brings \"state of the practice\" advanced asset management (AM) concepts

    tools

    techniques

    and technologies to bear on managing for cost-effective performance. This approach is one that focuses relentlessly on providing sustained performance to the customer at the lowest life-cycle cost and at an acceptable level of risk to the organization. - See more at: http://www.cpe.vt.edu/swim/workshop/index.html#sthash.RyFNSIi1.dpuf

    Richard Thomasson

    Sustainable Water Infrastructure Management (SWIM) Center at Virginia Tech

    VISION\nTo become the premier global knowledge and resource organization for planning

    engineering

    constructing\nand operating sustainable and resilient water infrastructure systems.\nMISSION\nTo bring together the global water industry to improve the performance

    sustainability

    and resiliency of\nexisting and future water infrastructure systems.\nCORE ACTIVITIES\n• Promote a collaborative environment within the water infrastructure community and disseminate critical\ninformation to improve performance

    sustainability

    and resiliency\n• Create and share water infrastructure data

    analytical tools and techniques

    best practices

    \ncase studies and synthesis reports\n• Foster multidisciplinary collaboration among water experts to advance and shape water infrastructure\nindustry\n• Advance science and technology through leading-edge innovative research and\ninterdisciplinary education\n• Articulate priorities for global water infrastructure systems and promote interactions among\ndiverse water utilities\n• Develop and deliver the most comprehensive source of water infrastructure asset management information\nand innovative research available through WATERiD and PIPEiD national databases

    conferences

    workshops

    \ntraining courses

    publications

    reports

    and online certification programs\n• Pioneer outreach programs that are renowned for addressing local

    state

    national

    \nand international water infrastructure asset management challenges

    Dave Fletcher

    Mike Burkhard

    Pipeline Infrastructure Database (PIPEiD)

    PIPEiD is envisioned to be “a Living Database Platform for Advanced Asset Management” addressing all three major management levels including strategic

    tactical

    and operational that will assist water utilities of all sizes to sustain targeted levels of service with acceptable risk\nResponsibilities: Development of the database website

    development of GIS models (desktop and online)

    development of data standards for water

    wastewater

    and stormwater utilities.

    Rahul Vemulapallyv

    UIM/SWIM Center Conference and PIPEiD Workshop

    The Sustainable Water Infrastructure Management (SWIM) Center

    UIM

    Water Environment Research Foundation (WERF)

    Denver Water and Aurora Water are jointly hosting a two-day conference and workshop in Denver

    Colorado

    Thursday

    July 23rd and Friday

    July 24th. The event brings together drinking water

    wastewater

    and storm water professionals to address issues related to pipelines

    buried infrastructure and infrastructure management

    as well as water quality and water supply.

    Development of Performance Prediction Model for Wastewater Pipelines

    The purpose of this WERF funded project is to develop a performance index for wastewater pipelines to assess the current performance and a model to predict the performance deterioration on the future to help decision support on asset management for water and wastewater utilities.\nResponsibilities: Doing literature review on related subjects

    performing lab tests on the received pipe and soil samples

    contacting water and wastewater utilities to receive data

    analyzing numerical and image data received from utilities

    developing and validating the model in MATLAB.

    WATERiD: Water Infrastructure Database

    This project is a cooperative effort among Virginia Tech

    USEPA

    WERF

    WATERRF

    NSF

    and Water Industry to design

    populate

    manage and maintain a National Web-based Database for Water Infrastructure titled “WATER infrastructure DATABASE (WATERiD)”. Contents in the WATERiD portal include demonstration projects

    standards

    policy and regulation

    lessons learned and best practices

    and advanced topics dealing with sustainability and resiliency.

    PIPEiD: Pipeline Infrastructure Database

    The proposed water infrastructure information system is expected to significantly improve the efficiency of drinking and wastewater infrastructure systems

    thereby reducing a significant risk to human health and the environment

    if they fail. The simulation capabilities

    predictive modeling

    and visual communication language developed in this work will have applicability to numerous other applications requiring accurate forecasts and real-time decision making.

    Water Infrastructure Database (WATERiD)

    The purpose of this federally funded project is to develop a knowledge database for the application of condition assessment and renewal technologies for water and wastewater utilities.\nResponsibilities: Development of the database website

    accumulating information on underground locating technologies

    creating technology profiles

    contacting water and wastewater utilities

    and writing case studies regarding locating technology use and data management practices from industry.

    Sunil

    Virginia Tech