¢â‚¬“So What-Who Cares?¢â‚¬â€Œ A Three Level Approach to Creating Wining High Stakes Initiatives 2019-11-15¢ 

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  • UTEP Distinguished Speaker Seminar SeriesUTEP Distinguished Speaker Seminar Series

    “So What-Who Cares?” A Three Level Approach to

    Creating Wining High Stakes Initiatives

    Prof. Michael Silevitch Northeastern University

    November 3, 2015

    “So What-Who Cares?” A Three Level Approach to

    Creating Wining High Stakes Initiatives

    Prof. Michael Silevitch Northeastern University

    November 3, 2015

  • The Three Level Approach Starts With A Top Down Vision The Three Level Approach Starts With A Top Down Vision

    “So What-Who Cares”

    • What is the central vision?

    • Why is it compelling?

    • What “Grand Challenges” must be addressed?

    • Why can’t this be done now?

  • Integrate the Research Thrusts

    Integrate the Research Thrusts

    Testbeds to Validate Research

    Testbeds to Validate Research

    Real World Applications to Validate Vision

    Real World Applications to Validate Vision

    The Three Level Approach Enables A Logical Development of Complex Initiatives The Three Level Approach Enables A Logical Development of Complex Initiatives

    Level 3 System Goals and Challenges

    Level 3 System Goals and Challenges

    Level 1 Fundamental Science

    Level 1 Fundamental Science

    Level 2 Controlled Environment Testing

    Level 2 Controlled Environment Testing

    System Goal: What is the Vision?

    “So What-Who Cares?”

    System Goal: What is the Vision?

    “So What-Who Cares?”

    Identify the Barriers That

    Must be Overcome

    Identify the Barriers That

    Must be Overcome

    Identify Research Thrusts to

    Address Barriers

    Identify Research Thrusts to

    Address Barriers

  • Gordon-CenSSIS: A Case Study NSF Engineering Research Center $38M Gordon-CenSSIS: A Case Study NSF Engineering Research Center $38M

    ERCs are Similar to a Multi-Division Small Company Prestigious Program ~2% Success Rate Each NSF ERC Must:  Define a Compelling Vision and Mission  Address “Grand Challenges”  Utilize a 3 Level Approach to Structure a

    10 Year Transformative Research Program  Implement a Long Range Strategic Plan  Create Testbeds to Validate Approaches  Motivate Students & Develop Educational Programs  Foster an Innovation Ecosystem and

    Industry Involvement

    ERCs are Similar to a Multi-Division Small Company Prestigious Program ~2% Success Rate Each NSF ERC Must:  Define a Compelling Vision and Mission  Address “Grand Challenges”  Utilize a 3 Level Approach to Structure a

    10 Year Transformative Research Program  Implement a Long Range Strategic Plan  Create Testbeds to Validate Approaches  Motivate Students & Develop Educational Programs  Foster an Innovation Ecosystem and

    Industry Involvement

  • 100nm - 100 m100nm - 100 m

    Subcellular BiologySubcellular Biology Tissues & OrgansTissues & Organs

    10 m - 10 cm10 m - 10 cm

    10 cm - 1 km10 cm - 1 km

    OpticsOptics UltrasoundUltrasound

    SonarSonarRadarRadar

    1 cm - 100 m1 cm - 100 m

    Underground Diagnosis

    Underground Diagnosis

    Underwater Exploration Underwater Exploration

    The CenSSIS Vision: Subsurface Diagnosis Diverse Problems– Similar Solutions The CenSSIS Vision: Subsurface Diagnosis Diverse Problems– Similar Solutions

  • Integrate the Research Thrusts

    Integrate the Research Thrusts

    Testbeds to Validate Research

    Testbeds to Validate Research

    Attack Real World Subsurface Problems

    Attack Real World Subsurface Problems

    Overview of The Three Level Approach Applied to The CenSSIS ERC. Overview of The Three Level Approach Applied to The CenSSIS ERC.

    Level 3 System Goals and Challenges

    Level 3 System Goals and Challenges

    Level 1 Fundamental Science

    Level 1 Fundamental Science

    Level 2 Controlled Environment Testing

    Level 2 Controlled Environment Testing

    Reveal Obscure Subsurface Regions: Diverse Problems- Similar Solutions

    Reveal Obscure Subsurface Regions: Diverse Problems- Similar Solutions

    Identify the Barriers That

    Must be Overcome

    Identify the Barriers That

    Must be Overcome

    Identify Research Thrusts to

    Address Barriers

    Identify Research Thrusts to

    Address Barriers

  • The First Step: What Are The Fundamental Science Barriers? The First Step: What Are The Fundamental Science Barriers?

    Barrier 1Barrier 1 Inadequate understanding of the physics of subsurface sensing and imaging

    Inadequate understanding of the physics of subsurface sensing and imaging

    Barrier 2Barrier 2 Unreliable inversion methods for inhomogeneous and cluttered subsurface media

    Unreliable inversion methods for inhomogeneous and cluttered subsurface media

    Barrier 3Barrier 3 Lack of robust, physics-based recognition and sensor fusion techniques

    Lack of robust, physics-based recognition and sensor fusion techniques

    Barrier 4 Lack of Real Time Computationally Efficient Modeling, Inversion and Image Processing Algorithms

    Lack of Real Time Computationally Efficient Modeling, Inversion and Image Processing Algorithms

  • Subsurface Sensing and

    Modeling

    Image & Data Information Management

    Physics-Based Signal Processing and Image Understanding

    R1R1

    R2R2 R3R3

    The Three Fundamental Science Thrusts Are Oriented Toward Overcoming Barriers 1-4 The Three Fundamental Science Thrusts Are Oriented Toward Overcoming Barriers 1-4

    Fundamental Science Fundamental ScienceL1L1

  • What Barriers Prevent The Developments of Testbeds to Validatee the Research? What Barriers Prevent The Developments of Testbeds to Validatee the Research?

    Barrier 5Barrier 5 Lack of Meaningful Controlled Subsurface Testbeds to Effectively Test Research Results

    Lack of Meaningful Controlled Subsurface Testbeds to Effectively Test Research Results

    Lack of rapid processing and management of large image databases Lack of rapid processing and management of large image databases

    Lack of optimal end to end sensor design methods Lack of optimal end to end sensor design methodsBarrier 6Barrier 6

    Barrier 7Barrier 7

  • Four Validating TestBEDs Represent the Diverse Applications Inherent in the CenSSIS Vision Four Validating TestBEDs Represent the Diverse Applications Inherent in the CenSSIS Vision

    BioBEDBioBED MedBEDMedBED

    SoilBEDSoilBED SeaBEDSeaBED 100nm - 100 m100nm - 100 m 10 m - 10 cm10 m - 10 cm

    10 cm - 1 km10 cm - 1 km1 cm - 100 m1 cm - 100 m

  • Lack of real world case studies that leverage the results of the controlled testbeds

    Lack of real world case studies that leverage the results of the controlled testbeds

    Barrier 8Barrier 8

    What Barriers Prevent The Ultimate Achievement of the Vision? What Barriers Prevent The Ultimate Achievement of the Vision?

    Lack of a unified framework for subsurface sensing and imaging applicable to diverse problems

    Lack of a unified framework for subsurface sensing and imaging applicable to diverse problems

    Barrier 9Barrier 9

  • The System Level Applications Are Built Around Important Real World Problems The System Level Applications Are Built Around Important Real World Problems

    Biological-Medical Applications 3D Imaging of Cellular Structure

    4D Image Guided Therapy

    3D Multi-Mode Breast Imaging

    Environmental-Civil Applications Remote Assessment of Benthic Habitats

    4D Underground Assessment

    Biological-Medical Applications 3D Imaging of Cellular Structure

    4D Image Guided Therapy

    3D Multi-Mode Breast Imaging

    Environmental-Civil Applications Remote Assessment of Benthic Habitats

    4D Underground Assessment

    S1

    S2

    S3

    S4

    S5

  • The System Applications Require Collaboration With Domain Experts The System Applications Require Collaboration With Domain Experts

    Important Biological & Medical Problems

    (S1, S2, S3)

    Important Biological & Medical Problems

    (S1, S2, S3)

    Important Environmental

    & Civil Problems (S4, S5)

    Important Environmental

    & Civil Problems (S4, S5)

  • Real Time Imaging and Sensor Fusion: Augmenting X-Ray Mammography Real Time Imaging and Sensor Fusion: Augmenting X-Ray Mammography

    Important ProblemImportant Problem

    Reliable Detection And Biopsy of

    Malignant Breast Tumors

    Reliable Detection And Biopsy of

    Malignant Breast Tumors

    Tomosynthesis MGH Platform Tomosynthesis MGH Platform Impedance

    Optical Microwave

    Impedance Optical

    Microwave

    ElastographyElastography

    Sensor Fusion

    S3

  • X-Ray Tomosynthesis Fused with CenSSIS Developed Techniques: Better Screening X-Ray Tomosynthesis Fused with CenSSIS Developed Techniques: Better Screening

    Tomosynthesis X-Ray

    + Computational Elastography

    Electrical impedance Tomography

    Diffuse Optical Tomography

    S3