Laboratories

Labs

Glenn Martin Hall Building

Laboratory for Reliable Nanoelectronics

Principal Investigator(s): Aris Christou

The Laboratory for Reliable Nanoelectronics is an advanced facility for semiconductor device process development, test structure design for reliability and reliability measurements at the University of Maryland. It includes a broad variety of advanced materials processes and supporting processes for fabricating of devices and reliability test structures.

Lab Acoust Emiss

Probabilistic Physics of Failure and Fracture Mechanics Laboratory

Principal Investigator(s): Mohammad Modarres

The Probabilistic Physics of Failure and Fracture Mechanics Laboratory is currently researching MTS Uniaxial Fatigue Testing Machines; Optical Microscopy for Short Fatigue Crack; Acoustic Emission Technique for Crack Initiation and Growth; Heating Chamber for Creep Testing; and Corrosive Medium Chamber.

An Experiment in the Virtual Reality Cave

Hybrid Systems Integration and Simulation Laboratory (HSIS)

Principal Investigator(s): Monifa Vaughn-Cooke

The Hybrid-System Integration and Simulation Laboratory (HSIS Laboratory) is a cluster of several experimental and computational infrastructures for several interrelated research thrusts in human-system integration for advancing the design, operation, performance monitoring, and performance assessment of complex hybrid systems.

Glenn Martin Hall Building

Design Decision Support Laboratory (DDSL)

Principal Investigator(s): Shapour Azarm

DDSL was founded in 1999. The labs current research areas include deterministic and stochastic (robust) design optimization; multi-attribute design decision making under uncertainty; multi-disciplinary multi-objective sensitivity analysis; reduced-order modeling; product design for market systems.

Cybersecurity Quantification Lab

Cybersecurity Quantification Lab (CyQL)

Principal Investigator(s): Michel Cukier

The research conducted in CyQL focuses on quantifying cybersecurity. The research team has conducted various empirical studies using security data collected in-house and across the world. The research team collaborates closely with the university Division of Information Technology Security and Policy team. The security data is collected in-house, and consist of incidents, intrusions alerts, networks flows and malicious activity towards/from target computers. Furthermore, at various organizations across the world, we collect malicious activity towards/from target computers. We are also collaborating with of the Department of Criminology and Criminal Justice at UMD to conduct specific empirical experiments related to criminological theories.

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Systems Risk and Reliability Analysis (SyRRA) Lab

Principal Investigator(s): Katrina Groth

The SyRRA lab conducts innovative research in risk and reliability modeling and simulation methods for analysis of complex engineering systems. Researchers in the lab combines advanced computational techniques, diverse types of data and information, with system-level thinking. We use Bayesian methods, machine learning, and causal models to fuse sparse data, big data, and qualitative information from multiple sources into models that support decisions and prediction under uncertainty. Our research contributes to the fields of safety, risk and reliability from both a mathematical perspective and from an applied perspective, with direct impact on systems ranging from hydrogen gas stations and infrastructure to nuclear power plants, natural gas transportation, pipelines, aviation, and more.