Current Students

  • The Department of Mathematics at Loyola Marymount University is pleased to initiate the Applied and Industrial Mathematics Seminar (AIMS). This new collaborative program brings a team of students and faculty together with industrial scientists and engineers for creative problem solving. Students gain valuable experience in team-based practical problem solving, applying their class work to real-world challenges. Industry partners receive fresh insights and creative approaches in a collaborative forum.

    Format: The AIMS program teams students, faculty, and industrial partners through a semester-long seminar course. The faculty instructor serves as project manager, ensuring deadlines are met, advising students, and coordinating efforts between students and industrial partners. Industrial partners will meet with the team at the beginning of the projects, and they are encouraged to meet regularly during the project period. The team presents progress reports (through briefings and written documents) to the industrial partners, and any software developed is delivered in electronic format. Depending on the breadth and complexity of the problems presented, the team and the sponsor may seek to continue the effort for more than one academic term.

    Problems: The problems brought by an industrial partner should be problems that are truly of substantive interest for the sponsor, but that are not in such a critical path as to require immediate deadlines. Goals should be of a fairly broad nature, so that team members may apply their creative skills to their fullest potential. Projects that are somewhat open-ended, needing a "step back and re-think" approach, are preferred over projects with detailed tasks involving straightforward computations on known data or accumulation of published research and reports.

    Expertise: The LMU Department of Mathematics comprises a faculty with diverse interests and capabilities. Our expertise spans the fields of probability and statistics; signal and image processing; numerical methods; optimization; modeling, estimation and control for dynamical systems; and computational algebra and cryptography. We have experience in a wide variety of application areas, including satellite trajectory modeling, simulation, and control, optical tracking and adaptive optics, queuing and network traffic analysis, tumor growth modeling, DNA sequencing analysis, contaminant transport in groundwater, and signal processing in fluid flow sensor design.

    Direction: Dr. Ben G. Fitzpatrick, the Clarence J. Wallen Professor of Mathematics at LMU, brings to bear his years of experience on a variety of consulting projects as the director of the AIMS program. Dr. Fitzpatrick joined LMU after developing a highly successful industrial mathematics program with colleagues at North Carolina State University. Dr. Fitzpatrick advised student teams on a wide variety of projects, including inventory forecasting and control for IBM, hurricane frequency and severity modeling for the North Carolina Department of Insurance, and contaminant transport in groundwater for the Air Force.

    Our excellent faculty provides a strong support base for the AIMS problem-solving teams:

    • Dr. Curtis Bennett, Associate Professor of Mathematics, with expertise in applications of algebra, particularly error correcting codes and combinatorial methods (scheduling, minimal paths).
    • Dr. Lev Abolnikov, Professor of Mathematics, with expertise in operations research and probabilistic modeling and analysis;
    • Dr. David Smith, Professor of Mathematics, with expertise in numerical methods, analysis, and finite precision arithmetic;
    • Dr. Connie Weeks, Professor of Mathematics, with expertise in orbit determination and satellite tracking.

    Contact: If you are interested in learning more about this exciting new program, please contact us directly at

    Dr. Ben G. Fitzpatrick
    LMU Department of Mathematics, Suite 2700 University Hall
    One LMU Drive
    Los Angeles, CA 90045
    310.338.7892 (voice)
    310.338.3768 (fax)

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