Joshua Carl, Ph.D.
Associate Professor
- Milwaukee WI UNITED STATES
- Allen Bradley Hall of Science S306
- Electrical Engineering and Computer Science
Dr. Joshua Carl is an expert in the modeling and simulation of cyber-physical systems.
Education, Licensure and Certification
Ph.D.
Electrical Engineering
Vanderbilt University
2016
M.S.
Electrical Engineering
Vanderbilt University
2012
B.S.
Computer Engineering
Milwaukee School of Engineering
2005
Biography
Areas of Expertise
Affiliations
- American Society for Engineering Education (ASEE) : Member
- Institute of Electrical and Electronics Engineers (IEEE) : Member
Social
Media Appearances
Dr. Joshua Carl
MSOE News
2019-09-16
Ever since Dr. Joshua Carl began his teaching career at MSOE in 2015, he says he’s tried to regularly place himself in the shoes of his students.
“It’s easy as a professor to forget where the students are both in terms of their knowledge and what else is going on in their lives,” he said. “I really try to be careful and keep a focus on how to get the students from where they are now to where they need to go.”
Event and Speaking Appearances
Model Predictive Control for HVAC and Central Plant Modeling at Johnson Controls
MSOE EECS Faculty Lecture Series May 2017
Research Grants
Exploration of Combined Embedded Systems Courses for Computer and Electrical Engineering
MSOE Summer Development Grant
2020
Collaborators: Adam Livingston (PI) and Kerry Widder and Joshua Carl
Infusing Mobile Studio Pedagogy into a Semester-Based Electrical Engineering Curriculum
MSOE Summer Development Grant
2020
Collaborators: Cory Prust (PI), Jennifer Bonniwell, Brian Faulkner, Steve Holland, Richard Kelnhofer, Luke Weber and Joshua Carl
A Case Study of Embedded Microcontrollers as a Parallel Computing Platform
MSOE Summer Development Grant $8000
2018
Selected Publications
A Review of Electronic Engineering Logbooks Throughout the Electrical En-gineering Curriculum
ASEE Annual Conference & ExpositionHolland, S.S., Bonniwell, J.L., Carl, J.D.
2018
Successful engineers must be well versed in communication skills, particularly with respect to written documentation in engineering logbooks. Such logs provide technical records that facilitate the day-to-day work of individual engineers, as well as enable continuity when projects are transferred to other engineers. Due to changes in technology and patent law, as well as the promise of simple archiving and sharing of technical work, many practicing engineers have moved away from traditional bound paper engineering notebooks and have embraced electronic documentation methods. This work details the experiences of junior electrical engineering faculty members implementing electronic engineering logbooks in their courses at the Milwaukee School of Engineering. While the current literature contains some discussion of electronic logbook usage in single courses, this paper takes a broader view by reviewing the use of electronic logbooks in courses that span all aspects of the electrical engineering undergraduate curriculum, from freshman to senior year. With this diverse set of courses, the lab assignments range from prescriptive step-by-step procedures to openended design projects. Each faculty member has been teaching for less than six years and joined academia with several years of industry experience. This work shares their experiences and observations on the advantages and disadvantages of electronic notebooks learned through implementation in their courses. Though this paper is primarily focused on electronic notebook usage in the electrical engineering program, the general observations are applicable to a broad range of engineering disciplines.
An Approach to Parallel Simulation of Ordinary Differential Equations
Journal of Software Engineering and ApplicationsCarl, J.D. and Biswas, G.
2016
Cyber-physical systems (CPS) represent a class of complex engineered systems where functionality and behavior emerge through the interaction between the computational and physical domains. Simulation provides design engineers with quick and accurate feedback on the behaviors generated by their designs. However, as systems become more complex, simulating their behaviors becomes computation all complex. But, most modern simulation environments still execute on a single thread, which does not take advantage of the processing power available on modern multi-core CPUs. This paper investigates methods to partition and simulate differential equation-based models of cyber-physical systems using multiple threads on multi-core CPUs that can share data across threads. We describe model partitioning methods using fixed step and variable step numerical integration methods that consider the multi-layer cache structure of these CPUs to avoid simulation performance degradation due to cache conflicts. We study the effectiveness of each parallel simulation algorithm by calculating the relative speedup compared to a serial simulation applied to a series of large electric circuit models. We also develop a series of guidelines for maximizing performance when developing parallel simulation software intended for use on multi-core CPUs.
An approach to parallelizing the simulation of complicated modelica models
SCS Summer Simulation Multi-ConferenceCarl, J.D., Biswas, G., Neema, S., Bapty, T.
2014
Designing embedded systems has become a complex and expensive task, and simulation and other analysis tools are taking on a bigger role in the overall design process. In an effort to speed up the design process, we present an algorithm for reducing the simulation time of large, complex models by creating a parallel schedule from a flattened set of equations that collectively capture the system behavior. The developed approach is applied to a multi-core desktop processor to determine the estimated speedup in a set of subsystem models.
Modeling And Simulation Semantics For Building Large-Scale Multi-Domain Embedded Systems
Conference: 27th Conference on Modelling and SimulationCarl, J.D., Lattman, Z., Biswas, G.
2013
This paper discusses a set of semantic constraints that have to be applied for multi-domain modeling of complex, embedded systems. In particular, using the Hybrid Bond Graph (HBG) modeling language, we analyze issues that deal with consistent causality assignments across model reconfigurations using hybrid switching junctions, and the complementarity of the electrical and mechanical domains by imposing additional constraints in the modeling environment. A case study of a Reverse Osmosis system developed at NASA JSC illustrates the effectiveness of our approach.
Fault Isolation for Spacecraft Systems: An Application to a Power Distribution Testbed
Conference: Fault Detection, Supervision and Safety of Technical ProcessesCarl, J.D., Mack, D.L., Tantawy, A., Biswas, G., Koutsoukos, X.D.
2012
Modern electrical power disribution systems play a critical role in system operations. Therefore, early fault detection and isolation is essential to maintaining system safety and avoiding catastrophic failures. This paper discusses a fault isolation scheme based on a qualitative fault signature-based isolation mechanism that applies to abrupt, incipient and intermittent faults in the system. We discuss the isolation algorithms for a combination of these faults, and demonstrate their performance on a set of test cases generated from a NASA Ames spacecraft power distribution testbed. Our results show good isolation accuracy with 103 out of 134 faulty scenarios isolated correctly. Most of the isolation errors can be attributed to errors in the detection scheme.
Detection and Estimation of Multiple Fault Profiles Using Generalized Likelihood Ratio Tests: A Case Study
16th IFAC Symposium on System IdentificationCarl, J.D., Tantawy, A., Biswas, G., Koutsoukos, X.D.
2012
Aircraft and spacecraft electrical power distribution systems are critical to overall system operation, but these systems may experience faults. Early fault detection makes it easier for system operators to respond and avoid catastrophic failures. This paper discusses a fault detection scheme based on a tunable generalized likelihood algorithm. We discuss the detector algorithm, and then demonstrate its performance on test data generated from a spacecraft power distribution testbed at NASA Ames. Our results show high detection accuracy and low false alarm rates.
