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Publications in VIVO

Ahmed, Nisar Razzi

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • 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.

keywords

  • human-robot interaction, human-machine systems, probabilistic modeling, Bayesian methods, autonomous systems, estimation theory, sensor fusion, machine learning, system identification

Publications

selected publications

Teaching

courses taught

  • ASEN 3128 - Aircraft Dynamics
    Primary Instructor - 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 - 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 - 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 - 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. Degree credit not granted for this course and ECEN 5448 and MCEN 5448.
  • ASEN 5044 - Statistical Estimation for Dynamical Systems
    Primary Instructor - 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.
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Background

International Activities

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