About the Program

The Doctor of Engineering (D.Eng.) in Automotive Systems and Mobility (ASM), centers on engineering practice and application, problem-solving skills, and innovation to prepare graduates for technical leadership roles in the automotive and mobility industry. 

The D.Eng. encourages doctoral students to conduct cutting edge research using emerging technologies in the broad areas of automotive engineering and mobility. It is a multidisciplinary program with core research areas in Automotive Cybersecurity; Advanced Simulation; Human Factors & Transportation Systems Safety; Connected and Autonomous Vehicles; Dynamics, Control & Vehicle Safety; Electrified Vehicles; Materials, Manufacturing, & Design; Shared Mobility; Thermal-Fluid & Combustion; and Data Analytics in Automotive & Mobility. 

The program is geared toward working professionals and as such, accepts students with prior professional experience in mobility and the automotive industry for part-time or full-time study.

 

Program Details

The D.Eng. degree requirements require a minimum of 36 credits hours with a minimum of two 3 credit hour courses and 30 credits in research.

 

Students are admitted for part-time or full-time study. We are accepting applications for this Winter 2020 after which, all admission offers will be for the Fall term only. 

Application Deadline:

  • One Time Only: November 15 for Winter 2020

  • February 1 for Fall Term only

  • Program Goals

    Program Goal

    To address the growing needs of engineering professionals with the education and training in advanced technologies and research skills necessary for solving the challenging problems in the automotive and mobility industry in the 21st century.

    Learning Outcomes

    1. To provide students with research and problem solving skills that enables them to develop creative solutions for solving complex engineering problems in advanced vehicle systems and mobility engineering.
    2. To prepare students with experiences in writing and publishing high quality technical papers and patents that contain innovative solutions to challenging problems in ASM
    3. To prepare students for being successful technical leaders
  • Admission Requirements

    The following are the minimum requirements for admission in the Doctor of Engineering (D. Eng.) in Automotive Systems and Mobility (ASM).

    • A master’s degree in engineering or computer science from an accredited program
      • Bachelor’s GPA: 3.0 on the 4.0-scale for regular admission
      • Master’s GPA: 3.2 on the 4.0-scale for regular admission
    • Recent GRE scores
    • For non-native English speakers, recent scores of an advanced English proficiency exam, such as a minimum score of 84 on internet-based TOEFL or IELTS with a minimum score of 6.5.
    • At least two years of full-time equivalent research and development experience in industry.
    • Three recommendation letters from faculty and industrial professionals including at least one letter from a supervisor/employer and at least one letter from a faculty member.  In the case of working students, the letter must show commitment and support from the employer.
    • A curriculum vitae (CV) or a resume
    • A Statement of purpose including a research topic and research plan.
    • It is strongly suggested to identify a faculty advisor at the time of application. A faculty advisor must be identified after admission and before the first enrollment.

    Preference is given to

    • Students with scholarships provided by companies or government organizations
    • Students with a commitment by employers in writing such as reduced working hours, e.g. 30 hours/week, for the first three years.

    Application Deadline:

    One Time Only: November 15 for Winter 2020

    February 1 for Fall Term only

  • Program Faculty Advisors by Core Research Areas

    Automotive Cybersecurity 

    Faculty Advisors: Anys Bacha (CIS), Birhanu Eshete (CIS), Jinhua Guo (CIS), Di Ma (CIS), Hafiz Malik (ECE), Adnan Shout (ECE), Paul Watta (ECE), and Weidong Xiang (ECE)

    Advanced Simulation, Human Factors and Transportation Systems Safety

    Faculty Advisors: Shan Bao (IMSE), Bochen Jia (IMSE), Fred Feng (IMSE), Sang-Hwan Kim (IMSE), Yi Lu Murphey (ECE), Sridhar Lakshmanan (ECE), Feng Zhou (IMSE), and Jie Shen (CIS)

    Connected and Autonomous Vehicles

    Faculty Advisors: Sridhar Lakshmanan (ECE), Hafiz Malik (ECE), Yi Lu Murphey (ECE), Paul Richardson (ECE), Samir Rawashdeh (ECE), Weidong Xiang (ECE), Yasha Yi (ECE), Alireza Mohammadi (ECE), Jinhua Guo (CIS), Di Ma (CIS), and Brahim Medjahed (CIS)

    Dynamics, Control and Vehicle safety

    Faculty Advisors: Alan Argento (ME), John Cherng (ME), Youngki Kim (ME), Chunhaui Mei (ME), Taehyun Shim (ME),  Alireza Mohammadi (ECE), Lu Wei (ECE), and Sridhar Lakshmanan (ECE).

    Electrified vehicles

    Faculty Advisors: Taehyung Kim (ECE), Wencong Su (ECE), Mengqi Wang (ECE), and Cheol Lee (IMSE)

    Materials, Manufacturing, and Design 

    Faculty Advisors: Alan Argento (ME), Tanjore Jayaraman (ME), Hong Tae Kang (ME), Pankaj Mallick (ME), Chunhaui Mei (ME), Pravansu Mohanty (ME), German Reyes-Villanueva (ME), Georges Ayoub (IMSE), Yubao Chen (IMSE), Zhen Hu (IMSE), Cheol Lee (IMSE), Yasha Yi (ECE), and Sridhar Lakshmanan (ECE).

    Shared mobility

    Faculty Advisors: Armagan Bayram (IMSE), Abdallah Chehade (IMSE), Xi Chen (IMSE), Jian Hu (IMSE), and Zhen Hu (IMSE)

    Thermal-Fluid and Combustion

    Faculty Advisors: John Cherng (ME), Dewey Jung (ME), Ben Q. Li (ME), Erick Ratts (ME), Subrata Sengupta (ME), and Oleg Zikanov (ME)

    Data Analytics in Automotive and Mobility

    Faculty Advisors: Mohamed Abouelenien (CIS), Bill Grosky (CIS), Marouane Kessentini (CIS), Qiang Zhu (CIS), Wei Lu (ECE), Hafiz Malik (ECE), Samir Rawashdeh  (ECE), Yi Lu Murphey (ECE), Paul Watta (ECE), and Fred Feng (IMSE)

Program Policies

In addition to the UM-Dearborn Graduate School policies for doctoral students, as a doctoral student in ASM program, you need to know the requirements, timeline, and processes for Pre-candidacy, Candidacy, Proposal Exam, and eventually your Dissertation Defense. 

Also, an Annual Progress Report completed by you and your faculty advisor must be submitted for review to the ASM Doctoral Committee in May of each year. 

The ASM Doctoral Committee and your Faculty Advisor are the main resources for information and guidance throughout your program.

The ASM Doctoral Committee is chaired by Dr. Dewey Jung, and includes Drs. Sang-Hwan Kim (IMSE), Taehyung Kim (ECE) , and Jie Shen (CIS).

 

  • Registration and Enrollment Requirements

    Students are required to be registered every Fall and Winter term.  No registration is required for Summer terms.

Curriculum

A student must complete a minimum of 36 credit hours including 6 credit hours of coursework, 6 credit hours of directed study and pre-candidate research courses, and 24 credit hours of dissertation research.

  • Satisfactory Progress Requirements

    In addition to meeting the standards of successful academic progress on the Annual Review, the student must pass two curricular qualification courses and maintain an overall GPA of 3.5/4.0 for good academic standing and graduation.

     

     
  • Pre-Candidacy Coursework Requirement

    The program requires completion of: 

    • Two curricular qualifying courses with a combined GPA of 3.5/4.0 and 3.3/4.0 or better in each course
      • The two graduate courses must be related to the student's chosen core research area and recommended by the advisor.   
    • ASM 791 Doctoral Directed Study
    • ASM 980 Pre-Candidate Dissertation Research
     
     
  • Responsible Conduct of Research and Scholarship Training (RCR)

    Responsible Conduct of Research and Scholarship Training (RCR) must be completed within the first two semesters of enrollment in the program. The seminar carries no credit hours. Passing is based on completion of the 6 PEERRS module, participation, and attendance in the face-to-face RCR training workshops.

  • Approved Program Courses

    Automotive Cybersecurity

    Course list

    CIS 540 Foundation of Information Security 

    CIS 544 Computer and Network Security

    CIS 545 Data Security and Privacy

    CIS 546 Security and Privacy in Wireless Networks,

    CIS 548 Security and Privacy in Cloud Computing

    CIS 549 Software Security

    CIS 584 Advanced Computer and Network Security

    CIS 624 Research Advances in Computer and Network Security

    ECE 527 Multimedia Security and Forensics

    ECE 528 Embedded System Security

    ECE 554 Embedded Systems

     

    Advanced Simulation, Human Factors and Transportation Systems Safety

    Course list

    IMSE 501 Introduction of Human Factors and Ergonomics 

    IMSE 514 Multivariate Statistics

    IMSE 545 Vehicle Ergonomics

    IMSE 546 Safety Engineering

    IMSE 577 Human-Centered Interaction for UI/UX Design

    IMSE 593 Vehicle Packaging Engineering

    IMSE 659 System Simulation in Automotive Engineering

    IMSE 659 Advanced System Simulation

    HCDE 510 Foundation of Human-Centered Design and Engineering

    HCDE 520 Research Method in HCDE

    HCDE 530 Information Visualization

    CIS 552 Information Visualization and Multimedia Gaming

    CIS 652 Information Visualization and Computer Animation

     

    Connected and Autonomous Vehicles

    Course list

    ECE 527 Multimedia Security and Forensics                        

    ECE 531 Intelligent Vehicles 

    ECE 536 All Weather Automotive Vision   

    ECE 543 Kinematics, Dynamics, and Control of Robots                   

    ECE 544 Mobile Robots                                                

    ECE 560 Modern Control Theory

    ECE 5702 High Speed and Advanced Networks                  

    ECE 577 Autonomous Unmanned Aerial Systems

    ECE 586 Digital Image Processing                                             

    ECE 612 Wireless Sensor Networks

    ECE 642 Robotic Embedded Systems                                      

    ECE 644 Advanced Robotics                                    

    ECE 645 Cooperative Robots                                                      

    ECE 650 Information Theory in Electrical

    ECE 661 System Identification and Adaptive Control        

    ECE 679 Advanced Intelligent Systems

    CIS 527 Computer Networks

    CIS 535 Programmable Mobile/Wireless Technologies and Pervasive Computing

    CIS 537 Advanced Networking and Distributed Systems

    CIS 647 Research Advances in Networking and Distributed Systems

    CIS 579 Artificial Intelligence

    CIS 585 Advanced Artificial Intelligence

    CIS 685 Research Advances in Artificial Intelligence

     

    Dynamics, Control and Vehicle Safety

    Course list

    ME 540 Mechanical Vibrations

    ME 542 Advanced Dynamics

    ME 543 Vehicle dynamics

    AE 502 Modeling of Automotive Systems

    AE 555 Vehicle Stability and Control

    AE 547 Powertrains I

    ME 548 Powertrains II

    ECE 515 Vehicle Electronics II

    ECE 532 Automotive Actuators and Sensors

    ECE 552 Fuzzy Systems

    ECE 560 Modern Control Theory

    ECE 565 Digital Control Systems

    ECE 567 Nonlinear Control Systems

     

    Electrified Vehicles

    Course list

    ESE 502 Energy Storage Systems

    ECE 515 Vehicle Electronics-II

    ECE 517 Advanced Power Electronics and Motor Drives

    ECE 519 Advanced Topics in EMC

    ECE 532 Automotive Sensors and Actuators

    ECE 5462 Electric Aspects of Hybrid Electric Vehicles

    ECE 5791 Vehicle Power Management

    ECE 646 Advanced Electric Drive Transportation

    AE 598 Energy Systems for Automotive Vehicles

     

    Materials, Manufacturing, and Design

    Course list

    ME 514 Advanced Stress Analysis

    ME 558 Fracture and Fatigue Considerations in Design

    ME 583 Mechanical Behavior of Materials

    ME 584 Mechanical Behavior of Polymers

    ME 587 Automotive Composites

    ME 589 Composite Materials

    ME 582 Injection Molding

    IMSE 502 Computer Integrated Manufacturing

    IMSE 504 Metal Forming Theories

    IMSE 519 Quantitative Methods in Quality Engineering

    IMSE 538 Intelligent Manufacturing

    IMSE 561 Total Quality Management and Six Sigma

    IMSE 5655 Supply Chain Management

    IMSE 567 Reliability Analysis

    IMSE 580 Production and Operations Management I

    IMSE 581 Production and Operations Management II

    IMSE 593 Vehicle Package Engineering

    AE 545 Vehicle Ergonomics I

    AE 586 Design and Manufacturing with Lightweight Automotive Materials

    AE 589 Automotive Assembly Systems

    AE 550 Design of Automotive Body & Chassis Systems

    AE 650 Vehicle Crashworthiness

    ECE 539 Production of Elec Prods

     

    Shared Mobility (logistics, operational research)

    Course list

    IMSE 500 Models of Operation Research

    IMSE 514 Multivariate Statistics

    IMSE 505 Applied Optimization

    IMSE 559 System Simulation

    IMSE 5655 Supply Chain Management

    IMSE 567 Reliability Analysis

    IMSE 584 Logistical Systems

    IMSE 605 Advanced Optimization

    IMSE 606 advanced stochastic processes

     

    Thermal-Fluid and Combustion

    Course list

    ME 528 Boiling and Condensation

    ME 532 Combustion Processes

    ME 535 Advanced Thermodynamics

    ME 545 Acoustics and Noise Control

    ME 596 Internal Combustion Engine I

    ME 597 Internal Combustion Engines II

    ME 598 Engine Emissions

    ME 522 Advanced Fluid Mechanics

    ME 525 Computational Fluid Mechanics and Heat

    ME 537 Automotive Air Conditioning Systems

    ME 538 Vehicle Thermal Management

    ME 571 Conductive Heat Transfer

    ME 572 Convective Heat Transfer

    ME 622 Advanced Topics in Fluid Mechanics

     

    Data Analytics in Automotive and Mobility

    Course list

    CIS 556 Database Systems

    CIS 586 Advanced Database Systems

    CIS 5570 Introduction to Big Data

    CIS 571 Web Services

    CIS 511 Natural Language Processing

    CIS 536 Information Retrieval and Text Mining

    CIS 568 Data Mining

    CIS 5700 Advanced Data Mining

    CIS 580 Data Analytics in Software Engineering

    ECE 537 Data Mining

    ECE 579 Intelligent Systems

    ECE 576 Information Engineering

    IMSE 586 Big Data Analytics and Visualization

  • Early Start Research and Research Maintenance Requirement

    Early Start Requirements:

    The students are expected to engage in research work from the first year of the program. To facilitate that, each student should have a faculty research advisor at the beginning of the first semester and develop the dissertation research topic with the faculty advisor by the end of the second semester in the program. There is an additional requirement that at least 6 credit hours of faculty-guided research (ASM 791 or ASM 980) be completed within the first year of enrollment in the program. In the first semester, all students need to take the ASM 791 (Doctoral Direct Study) and the second semester the ASM 980 (Pre-candidate Dissertation Research).  The required outcomes of ASM 791 include:

    • Well-defined research topic/objective/technical approach
    • An in-depth literature review

    The required outcomes of ASM 980 include:

    • An approved dissertation committee
    • Promising preliminary study results
    • Well-developed research plan and milestones, and
    • Successfully passed dissertation proposal examination, which also covers the fundamentals of the research related to student’s dissertation research area.
      • If a student does not pass the examination, an “I” grade will be given to the student, and the student needs to retake the ASM 980 in the following semester and the dissertation proposal examination.  If the student passes the examination at the second time, an “S” grade will be given to the ASE 980 course taken at the both semesters.  If the student fails the examination at the second time too, the student is required to withdraw from the program.

    Research Maintenance Requirements:

    • ASM 990 (Dissertation for candidates) can be taken only after a student achieves candidacy. A minimum of 24 credit hours in ASM 990 is required.
    • During the candidacy, a student enrolls in ASM 990 every semester.  The outcomes of ASM 990 include a written dissertation research progress report, a presentation of research results to the dissertation committee. A “S” or “U” grade will be given by the adviser based on the student’s performances in research. Any “U” grade will be reviewed by the committee and a written plan will be provided to the student about what is needed to improve dissertation research. The metric to measure a student’s progress includes, but not limited to, regular meetings with the adviser, good quality research progress reports, publications, patent applications, prototype system demos, and well-recognized open-source programs. The faculty advisor notifies ASM committee about the student’s progress in each semester.
    • A Student must register to ASM 791, ASM 980 or ASM 990 must arrange meetings with the faculty advisors at least twice per month for mentoring by the advisor.
  • Qualifying Exam

    The program does not have a written qualifying examination but instead a curricular qualification requirement.

    A student must obtain a cumulative GPA of 3.5/4.0 and B+ or above for both curricular qualification courses. If a student obtains B+ for both courses the student is allowed to select another course as a qualification course and must get A- or above to meet the curricular qualification requirement. No additional attempt is allowed.

  • Candidacy and Forming the Dissertation Committee

    Dissertation Committee

    The dissertation committee is formed when a student takes ASM 980. As a rule, the dissertation committee continues overseeing the student’s work to the stage of the final dissertation defense.

    • The faculty advisor serves as the chair of the Dissertation Committee.
    • The dissertation committee will consist of a minimum of three members in addition to the committee chair. The committee members will include two faculty members (at least one member from the CECS) and one industry member.
    • The composition of the dissertation committee must be approved by the D. Eng. program committee. The industry member's curriculum vitae must be submitted to the Program Committee for approval.
    • Depending on the dissertation topic, a faculty member outside the CECS may be included in the dissertation committee.
    • A committee may have a sole chair or two co-chairs. Persons who may serve as co-chair, but not the sole chair, include:
      • tenure or tenure-track members of the University’s instructional faculty;
      • research faculty;
      • instructors and lecturers;
      • similarly qualified University faculty or staff, or person from outside the University; and
      • former University faculty members who have moved to a faculty position at another university

    Candidacy Requirements 

    Achieving candidacy for the D. Eng. in ASM requires:

    • Completion of two curricular qualification courses and maintain a combined GPA of 3.5/4.0 and 3.3/4.0 or better for each course
    • Completion of all the required outcomes of ASM 980
    • Submission of the candidacy application form
    • Approved Doctoral Dissertation Committee
  • Timeline and Milestones

    The D. Eng. ASM program has a time limit of 3 years for completion. Students are expected to complete the degree within 2 years after achieving candidacy, but no more than 3 years from the date of the first enrollment in the program. 

    All D. Eng. ASM students are required to register for either the program’s coursework or dissertation credits every fall and winter semester unless they are on an approved leave of absence.  Students may request a leave of absence when certain life events prevent continued active participation in their degree program.  Students may request a leave of absence as early as six months prior to the term the leave is to start. A leave will be granted to students for illness (either physical or mental) or injury, to enable them to provide care or assistance for family or dependents, to allow them to meet military service obligations, or for other personal reasons.  The student’s request for a leave of absence will need the approval by the CECS Doctoral Program Committee.

    A student is considered to have completed the D. Eng. ASM program only if the student has completed the two required courses with satisfactory grades and the required research credit hours, passed the dissertation defense and got a satisfactory grade on the written dissertation. A petition for an extension of study time may be submitted by the student with the endorsement of student’s dissertation advisor to the committee of D. Eng. in ASM for approval. The time extension will be no more than 2 years. Table 2.2 is an example of curriculum.

  • Non-Credit Short Courses and Workshops

    All D. Eng. in ASM students will be required to take a series of non-credit short courses and workshops. 

    Topics include:

    • Project Management
    • Leadership and Responsibilities
    • Collaboration and Teamwork
    • Surviving Complex Projects
    • Business Startups and Patent Law
    • Diversity, Equity, and Inclusion
    • Presentation and Communication
    • Career Path in and Outside Academia
  • Dissertation Proposal

    The successful defense of the Dissertation Proposal is one of the required outcomes of the ASM 980 course registration.

    The dissertation proposal examination also covers the fundamentals of the research related to the student’s dissertation research area.

    • If a student does not pass the examination, an “I” grade will be given to the student, and the student needs to retake the ASM 980 in the following semester and the dissertation proposal examination.  If the student passes the examination for the second time, an “S” grade will be given to the ASE 980 course taken at both semesters.  If the student fails the examination the second time too, the student is required to withdraw from the program.
  • Dissertation Research and Final Oral Defense

    After passing ASM 980, the student may proceed with the dissertation research and the writing of the dissertation. The dissertation should document the original contributions made by the candidate as a result of independent research. This research work should be of archival quality. In advance of graduation, all members of the student's dissertation committee must approve the dissertation. To obtain this approval a student must submit a written copy of the dissertation to the dissertation committee and defend the research work at a final oral examination open to other faculty, students, and the interested public. Students defending the dissertation must be registered in ASM 990.

    Upon completion of the dissertation work, the student initiates the last step toward the degree—the dissertation defense process. The process follows the official guidelines and consists of the following main stages:

    • Preparation of a written dissertation formatted in accordance with the guidelines,
    • Pre-Defense meetings with the members of the program committee,
    • Written evaluations of the dissertation by the dissertation committee members
    • The Oral Defense of the dissertation consisting of two parts:
      • Public seminar and open question session held by the student
      • Private deliberations by the committee,
    • Final oral examination report and certificate of approval prepared by the dissertation committee
    • Post-Defense meeting with the CECS Graduate Education Office

Mechanical Engineering

1340
Heinz Prechter Engineering Complex (HPEC)
Phone: 
313-593-5241
Fax: 
313-593-3851
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