OUR MISSON


Through transformative research, education, and workforce development, the IASE has the mission to produce disseminate and commercialize new science and technology in the field of cyber-physical systems engineering.

The Institute will build on its research and educational programs in the foundational scientific areas of: requirements formalization and systems engineering, physics and data driven modeling, advanced system control and optimization, system diagnostics, prognostics, and health management, systems engineering principles of cyber-security.

The IASE focuses on three technology areas, drawing on its fundamental knowledge base; namely: Platform-based requirements formalization; Hybrid and heterogeneous acausal modeling of cyber and physical system components and systems; and Information & Big Data management and stewardship.

Technology Integration

Embedded Systems

Aerospace Systems

Smart Buildings

Automotive & Naval

Autonomous Systems

Cybersecurity

Smart Cities

Flexible Grid

Modular Systems

Manufacturing

Robotics

Energy

Today's Barriers

System Modularity

Security & Safety

Multi-Scale Integration

Compelxity & Uncertainty

Big Data Management

Technology Base

Platform-Base Requirements Formalization

Formal Methods

Validation & Verifcation

System Abstraction

Requirements Modeling

Hybrid & Heterogenous Acausal Modeling

Prognostics & Diagnostics

Acausal Physical Modeling

Senors & Control

CPS Modeling

Information & Big Data Management & Stewardship

Platform-based Design

Big Data

Machine Learning

Information Stewardship

Today's Barriers

Talent Capacity & Human Capital

Discontinuity of Abstraction Layers

Uncertainty & Noise

System Error & Faults

Scalability & Reusability

Knowledge Base

Knowledge Base

Requirements Modeling, Architecture and formationlization

Physics and Data Driven Modeling, Abstraction and Reduction

Robust and Reslient System Control, Optimization and Supervision

Knowledge Base

Data / Model-Based Diagnostics, Prognotics & Health Management

Uncertainty Management in Systems Generation Big Data

Cybersecurity as Applied to Cyber-Physical Systems

Today's Barriers

System Scale & Complexity

Operation Complexity

Variable Operating Envelopes

Heterogeneity of CPS Models

Discipline-Base Research & Training

These technologies enable progress in the areas of embedded, autonomous and modular systems, which — depending on the application domains of interest (e.g., smart buildings and cities, aerospace systems, manufacturing and energy industries, robotics and cybersecurity) — are infeasible with today’s discipline-based structure of research and educatio

The IASE aspires to become a hub for federally funded efforts in all areas of cyber-physical systems. Further, the Institute aspires to build on the strengths and progress made in its first four years of operation and the unique talent base at UConn to serve as a hub for cross-cutting research and education.