Link Lab Students

Graduate and undergraduate students in the Link Lab.

This page describes the various programs and events for Link Lab students.

Programs, Events, and Resources

  • Link Lab Committee on Culture and Livability

    The Link Lab Committee on Culture and Livability is a student-run committee that aims to elevate the Link Lab experience, for both residents and non-residents. The committee strives to encourage comradery among the diverse Link Lab group through professional and social events and serve as the liaison between students, staff, and faculty.

  • P3: PhDs Practicing Presenting

    P3 is a seminar series for early Ph.D. students (in their first couple years) to hone their presentation skills. This every-other-week informal event is a chance for newer Ph.D. students to practice research presentations and get supportive feedback from peers and faculty.

    Basic information:

    • When: Every-other Thursday, 4-5pm
    • Where: 211 Olsson

    Students are expected to prepare a 10-15 minute talk with slides on a technical topic they are working on. During the seminar session, one or two students will present and take a couple questions, and the remainder of the time is for constructive feedback from the audience. Students are welcome to provide specific areas they are trying to focus on and would like feedback in.

    To sign up for a session, add you name and talk title to the sign-up form.


  • P4: PhDs Preparing for Professorship Positions

    P4 is a series of instructional seminars held in the fall on how to get a faculty job. This includes the following topics:

    • Session 1: Written documents and application [slides] [pdf]
    • Session 2: Interviewing (phone and in-person) [slides] [pdf]
    • Session 3: How to give a job talk
    • Session 4: Other advice
  • Student Services and Wellbeing

    Graduate school can be a challenging journey, and there are resources here at UVA for you when you need help and support. Please reach out when you need assistance, and know that the UVA community is committed to helping you succeed.

    Resources for students

  • Civil Engineering

    CE 6230 Hydrology - J. Goodall

    Stresses the quantitative description and the physical basis of hydrology. Both deterministic and stochastic methodology are applied to the analysis of the hydrologic cycle, namely, precipitation, evaporation, overland flow and stream flow, infiltration, and groundwater flow. The use of compute simulation models, especially microcomputer based models, is emphasized.

    CE 6500 Transportation Sustainability - B. Smith

  • Computer Science

    CS 4501 Smart Worlds - J. Stankovic

    CS 4501 Smart Homes, Phones, & Beyond - J. Stankovic

    CS 4740 Cloud Computing - Haiying Shen

    CS 6501 - 013 / SYS 6581 – 005: Principles of Modeling for Cyber-Physical Systems - Madhur Behl

    View lectures from this class here

    CS 6501 Cyber Physical Systems - J. Stankovic

    CS 6501: Model-based Design of Cyber-Physical Systems - Lu Feng

    CS 6501: Topics in Wireless Networking - K. Whitehouse

    CS 21823 Mobile Security - Yuan Tian

  • Electrical and Computer Engineering

    ECE/CS 4434/6434 - SYS 4582/6582: Dependable Computing Systems (Spring)  - Homa Alemzadeh

    ECE 4501/6501: Advanced Embedded Systems (Fall)  - Homa Alemzadeh

    ECE 6501 Autonomous Mobile Robots - N. Bezzo

    The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, control, sensing, localization, mapping, path planning, and motion planning

    ECE 6501 IoT Sensors and Systems - B. Campbell

    ECE 6502 Cooperative Autonomous Systems - L. Barnes

    ECE 6502 Inference Methods - F. Farnoud

    In this course, we focus on statistical inference techniques and their applications. Inference allows us to learn about unobserved quantities from observed data based on a probability model. For example, we can infer the evolutionary relationships between organisms based on their genomic sequence data and a probability model of evolutionary changes. 

    ECE 6550 Mobile Robotics Lab - N. Bezzo

    Learn about ROS (Robot Operating System) and the basics of practical mobile robotics using the turtlebot ground vehicle and the crazyflie drone. NOTE: This is a 1.5 credits non-graded class.

  • Mechanical Engineering

    Coming Soon

  • Systems Engineering

    Coming Soon