Professor Nisar Ahmed’s research explores new algorithms and models for probabilistic reasoning that promote cooperative intelligence in mixed teams of humans and autonomous robotic vehicles. The COHRINT Lab blends this cutting-edge theory with real-world robotic software and hardware. Key problem areas for aerospace applications include: integrated sensing, perception, planning and control in human-robot teams; learning and prediction of human/autonomy decision making and task performance; and fusion of complex information in dynamic sensor networks for applications such as GPS-limited navigation and cooperative target tracking under uncertainty.
Nonlinear Heterogeneous Bayesian Decentralized Data Fusion.
Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems.
9262-9268.
2023
ASEN 3128 - Aircraft Dynamics
Primary Instructor
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Spring 2018 / Spring 2019 / Fall 2019 / Spring 2021 / Spring 2022
Develops the fundamental concepts of aircraft dynamics. Covers flight mechanics, performance, dynamics and control of aircraft and how they impact aircraft design.
ASEN 4018 - Senior Projects 1: Design Synthesis
Primary Instructor
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Fall 2023
Focuses on the synthesis of technical knowledge, project management, design process, leadership, and communications within a team environment. Students progress through the design process beginning with requirements development, then preliminary design and culminating with critical design. Offered fall only.
ASEN 4028 - Senior Projects 2: Design Practicum
Primary Instructor
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Spring 2024
Focuses on the fabrication, integration, verification and validation of designs produced in ASEN 4018. Students work within the same teams from ASEN 4018. Offered spring only.
ASEN 5014 - Linear Control Systems
Primary Instructor
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Fall 2021
Introduces the theory of linear systems, including vector spaces, linear equations, structure of linear operators, state space descriptions of dynamic systems, and state feedback control methods. Recommended prerequisite: ASEN 3200, ASEN 3700, or equivalent or instructor consent required.
ASEN 5044 - Statistical Estimation for Dynamical Systems
Primary Instructor
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Fall 2018 / Fall 2020 / Fall 2022 / Fall 2024
Introduces theory and methods of statistical estimation for general linear and nonlinear dynamical systems, with emphasis on aerospace engineering applications. Major topics include: review of applied probability and statistics; optimal parameter and dynamic state estimation; theory and design of Kalman filters for linear systems; extended/unscented Kalman filters and general Bayesian filters for non-linear systems.
ASEN 5519 - Special Topics
Primary Instructor
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Fall 2023
Reflects upon specialized aspects of aerospace engineering sciences. Course content is indicated in the online Class Search. May be repeated up to 9 total credit hours. Recommended prerequisite: varies.
ASEN 6044 - Advanced State Estimation
Primary Instructor
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Spring 2024
Introduces principles and techniques for designing, implementing, and analyzing probabilistic state estimators for dynamical systems that require going beyond traditional least-squares and Kalman filtering approaches. Emphasis on development of practical discrete-time Bayesian state space filtering algorithms for systems characterized by partial observability and non-Gaussian uncertainties, which arise in many applications governed by complex non-linear stochastic dynamics and measurement processes.
ASEN 6519 - Special Topics
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022
Reflects upon specialized aspects of aerospace engineering sciences. Course content is indicated in the online Schedule Planner. May be repeated up to 9 total credit hours. Recommended prerequisite: varies.
ASEN 6949 - Master's Candidate for Degree
Primary Instructor
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Spring 2020 / Fall 2020
Registration intended for students preparing for a thesis defense, final examination, culminating activity, or completion of degree.
ASEN 6950 - Master's Thesis
Primary Instructor
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Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Fall 2022 / Spring 2023 / Fall 2023 / Spring 2024 / Fall 2024
