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Publications in VIVO

Lahijanian, Morteza

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • My research is at the intersection of machine learning, control theory, and formal methods. The main theme of my work is safety and soundness, and the emphasis is on safe autonomy through correct-by-construction algorithmic approaches to robotic, aerospace, and cyber-physical systems.

keywords

  • Safe AI, machine learning, formal verification, formal synthesis, hybrid systems, planning under uncertainty, motion planning, model checking, dynamics

Publications

selected publications

Teaching

courses taught

  • ASEN 3128 - Aircraft Dynamics
    Primary Instructor - Spring 2022 / Spring 2023
    Develops the fundamental concepts of aircraft dynamics. Covers flight mechanics, performance, dynamics and control of aircraft and how they impact aircraft design.
  • ASEN 3728 - Aircraft Dynamics
    Primary Instructor - Fall 2023 / Fall 2024
    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 2019
    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 2020
    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 5254 - Algorithmic Motion Planning
    Primary Instructor - Fall 2022 / Fall 2023 / Fall 2024
    Overview of the lessons learned by the robot motion planning community in the recent years. Examines approaches based on potential functions, graphs, sampling methods, task and motion planning, and basic approaches to planning under uncertainty. Provides a set of tools to tackle new problems and enables the pursuit of complex research questions such as planning for autonomous systems. Recommended prerequisites or corequisites: ASEN 5014 or equivalent, knowledge of how to plot 2-D/3-D functions, arrays and other data structures, standard constructs (loops, functions, etc), C++, Python or MATLAB, and knowledge of differential equations and linear algebra.
    • ... more

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