My research focuses on the role that atmospheric constituents such as ozone, nitrogen oxides (NOx) and particulate matter (aerosols) play in local air quality, long range pollution transport, and climate change. Numerical models of chemical and physical processes in the atmosphere provide valuable estimates of the sources and fates of these species. In addition, spaceborn measurements and coordinated field campaigns provide an unprecedented wealth of observations related to the chemical state of the atmosphere. A large part of our research stems from chemical data assimilation, the process by which both models and observations are combined to produce estimates of the atmospheric state that are often more complete than those provided by either approach alone. This encompasses more specific interests in adjoint sensitivity analysis, source apportionment, machine learning, and remote sensing.
keywords
Aerosols and air quality, Climatology and atmospheric chemistry, Adjoint sensitivity analysis, Data assimilation and remote sensing
ECEN 4138 - Control Systems Analysis
Primary Instructor
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Fall 2022
Analysis and design of continuous time control systems using classical and state space methods. Laplace transforms, transfer functions and block diagrams. Stability, dynamic response, and steady-state analysis. Analysis and design of control systems using root locus and frequency response methods. Computer aided design and analysis. Department enforced prerequisite: background in Laplace transforms, linear algebra,and ordinary differential equations. Same as ECEN 5138. Degree credit not granted for this course and MCEN 4138 or MCEN 5138 or ASEN 4114 or ASEN 5114.
ECEN 5138 - Control Systems Analysis
Primary Instructor
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Fall 2022
Analysis and design of continuous time control systems using classical and state space methods. Laplace transforms, transfer functions and block diagrams. Stability, dynamic response, and steady-state analysis. Analysis and design of control systems using root locus and frequency response methods. Computer aided design and analysis. Topics covered in this course will be investigated in more depth, require external readings, additional homework will be assigned, and the exams will be more difficult. Recommended prerequisite: ECEN 3300. Same as ECEN 4138. Degree credit not granted for this course and MCEN 4138 or MCEN 5138 or ASEN 4114 or ASEN 5114.
MCEN 3030 - Computational Methods
Primary Instructor
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Spring 2019 / Spring 2020
Studies fundamental numerical techniques for the solution of commonly encountered engineering problems. Includes methods for linear and nonlinear algebraic equations, data analysis, numerical differentiation and integration, ordinary and partial differential equations.
MCEN 4228 - Special Topics in Mechanical Engineering
Primary Instructor
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Spring 2021 / Fall 2022
Subject matter to be selected from topics of current interest. May be repeated up to 15 credit hours. Same as MCEN 5228.
MCEN 5020 - Methods of Engineering Analysis 1
Primary Instructor
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Fall 2022 / Fall 2023 / Fall 2024
Studies selected topics from linear algebra, multi-variable calculus, differential equations, and Fourier series. Assigns computer exercises. Correlates with analysis topics in other mechanical engineering graduate courses, and emphasizes applications. Prior courses in Calculus I, II, II, differential equations, and linear algebra strongly recommend.
MCEN 5930 - Professional Internship
Primary Instructor
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Fall 2022
This class provides a structure for Mechanical Engineering graduate students to receive academic credit for internships with industry partners that have an academic component to them suitable for graduate-level work. Participation in the program will consist of an internship agreement between a student and an industry partner who will employ the student in a role that supports the academic goals of the internship. Instructor participation will include facilitation of mid-term and final assessments of student performance as well as support for any academic-related issues that may arise during the internship period. May be taken during any term following initial enrollment and participation in ME graduate programs. Department permission required to enroll. May be repeated up to 6 total credit hours.
