Contact:
Lorenzo M. Smith
248 Dodge Hall
(248) 370-2233
l8smith@oakland.edu
Program description
The Doctor of Philosophy in systems engineering degree program is designed for students who plan careers in industrial or governmental research and development laboratories or problem-oriented agencies, as well as in the academic field.
The field of engineering has evolved into a blending of disciplines that is well suited for dealing with such concerns as robotics and machine vision, electronic and communication systems, mechanics, material and manufacturing systems, fluid and thermal systems, dynamic systems and control, computer and microprocessor systems, industrial and production systems, and artificial intelligence and expert systems. The School of Engineering and Computer Science is concentrating its efforts in these areas at the Ph.D. level.
Systems approach
The field of systems engineering recognizes the inter-disciplinary nature of engineering, particularly in the areas of robotics, electronics, communications, mechanics, manufacturing systems, production systems, fluid and thermal systems, dynamic systems and control, computer hardware and software systems, software engineering, artificial intelligence and expert systems. The successful analysis and design of complex engineering systems in each of these areas involve two major perspectives. The first perspective, characterized by viewing individual elements of any phenomenon, process or system as being interrelated, with the form of the relationship influencing the behavior of the whole, requires that a systems approach be taken in the analysis, modeling or synthesis of the phenomenon, process or system under consideration. The second perspective is discipline-specific and requires a detailed understanding of the fundamental physical principles or concepts associated with the particular system under study.
A direct benefit of the above approach to problem solving is that it ties the contributions made to the fundamental knowledge in the field with the nuances and constraints imposed by the environment on the specific problem under investigation.
In other words, it makes the engineering research sensitive and relevant to practical applications. For example, consider the problem of computer vision. Research in this area will involve the fundamental principles of pattern recognition, digital signal processing, image enhancement, data communication, etc. However, a computer vision system that is associated with robotics in a classical or flexible assembly line manufacturing environment would be subjected to very different environmental conditions and constraints than would a computer vision system on an all-terrain, ground-based vehicle. Integration of such fundamental research, while recognizing the interaction with the environment, lends itself to a systems approach to problem solving.
It is this broad definition of engineering systems that forms the cornerstone of the Ph.D. in systems engineering program at Oakland University. The program is multi-disciplinary, drawing its strength and resources from the entire faculty of the School of Engineering and Computer Science.
Ph.D. discipline specializations
In keeping with the programs of study that are currently available through the Computer Science and Engineering Department, Electrical and Systems Engineering Department, Industrial and Systems Engineering Department and Mechanical Engineering Department, the student can follow any one of the following discipline specializations, depending upon his or her previous background and training.
Computer Systems
The work in this discipline may be focused on hardware and software system design, artificial intelligence and expert systems, computer communication systems including parallel and distributed computing, computer graphic systems, computer vision and multimedia systems, pattern recognition and data mining, and software engineering systems.
Control Engineering and Dynamic Systems
The work in this discipline may be focused on adaptive, intelligent, digital and optimal control systems, modeling and estimation of dynamic systems, robotic systems, fuzzy logic and neural network-based control systems.
Electrical Engineering Systems
The work in this discipline may be focused on digital image and signal processing, microelectronic circuits and systems including VLSI, instrumentation and measurement systems, electromagnetic systems, and analog and digital communication systems.
Industrial Engineering Systems
The work in this discipline may be focused on production systems, quality control, manufacturing systems, computer integrated manufacturing, flexible manufacturing systems, graphics and CAD/CAM, Product Lifecycle Management (PLM), lean systems, artificial intelligence in manufacturing systems, scheduling and systems integration.
Manufacturing Processes and Systems
The work in this discipline may be focused on manufacturing processes including machining, metal forming, materials, automated inspection and evaluation systems.
Mechanical Engineering Systems
The work in this discipline may be focused on engineering mechanics systems involving acoustics, vibrations, classical/experimental mechanics and non-destructive testing; fluid and thermal energy systems involving phase change, combustion, and energy transfer and conversion; tribology systems involving friction, lubrication and wear; and general manufacturing processes systems.
Program delivery
Students can begin doctoral study on a part-time basis, availing themselves of late afternoon or evening courses while working full time in local industry. However, later phases of study and research will require full-time devotion to the program. Students must also fulfill a residency requirement.
Admission terms and application deadlines
Before an applicant’s file can be reviewed for full program admission, all application documents must be received in Graduate Admissions by the semester deadlines listed below.
- November 15, 2011 for the Winter 2012 semester
- March 15, 2012 for the Summer 2012 semester
- July 15, 2012 for the Fall 2012 semester
- November 15, 2012 for the Winter 2013 semester
- March 15, 2013 for the Summer 2013 semester
- July 15, 2013 for the Fall 2013 semester
International applicants: International applications are reviewed for fall and winter admission only. To ensure adequate time for review, international applications must be completed at least six months before the desired date of intended enrollment to the University. All international application materials must be submitted by May 1 for fall admission and by September 1 for winter admission.
Application requirements
To be considered for graduate admission, applicants must submit all of the following university and program application documents by the published application deadlines.
University graduate application requirements
- Application for Admission to Graduate Study
- Official transcripts providing evidence of an earned baccalaureate degree from an accredited U.S. institution, OR a degree equivalent to a four-year U.S. baccalaureate degree from a college or university of government-recognized standing.
- Official transcripts for all post-secondary educational institutions from which the applicant earned a degree (beginning with the first baccalaureate) and for all enrollment in graduate-level coursework beyond the bachelor’s degree. International university transcripts must be evaluated by a professional credential evaluation service.
- As part of the admission requirements, graduate programs may require official transcripts from post-secondary educational institutions from which the applicant earned an associate’s degree and all enrollment in coursework both pre- and post-bachelor’s degree.
- Two official and original Recommendation for Graduate Admission forms.
- Proof of English language proficiency
- International supplemental application and supporting documentation must be submitted before international applicants can be issued the Certification of Eligibility (I-20). This certificate is required to apply for a student visa from the U.S. embassy or consulate.
Program application requirements
- A total of three recommendations forms must be from faculty members of their most recent study program who can evaluate their scholarly achievement and potential
- Statement of research objectives and goals
- Scores from the Graduate Record Examination (GRE) if they graduated from an institution not accredited by a regional accrediting agency of the USA
- Normally a master’s degree from an accredited institution is required for admission; however, students with outstanding undergraduate records may apply directly for admission to the doctoral programs.
- The Ph.D. program is designed for students with academic backgrounds in engineering and computing. Students with backgrounds in mathematics or the physical sciences may also be admitted to the program, but they will be required to build up basic engineering/computing knowledge through relevant coursework.
Admission review and assessment
Admission to graduate study at Oakland University is selective. In making admission recommendations to Graduate Study and Lifelong Learning, each department assesses the potential of applicants for success in the program by examining their undergraduate records, goal statement, letters of recommendation, prerequisite courses and any other admission requirements established by the academic department.