Charles L. and Ann Lee Brown Distinguished Seminar Series

We are proud to welcome leaders in electrical and computer engineering and related disciplines as participants in the Fall 2022 Charles L. and Ann Lee Brown Distinguished Seminar Series.


Our speakers are eager to share their insight and expertise relevant to our research strengths, including image processing with a focus on health and medicine; machine learning, signal processing and communications; hardware for artificial intelligence and the internet of things; devices and circuits; robotics and control systems; and the design and integration of materials in novel electronic, thermal and optical devices.

We will conduct the Distinguished Seminar Series in a hybrid learning environment, combining in-person engagement with a Zoom webinar on Friday afternoons from Date to Date.

Fall 2022 Program

  • Luke F. Lester, Virginia Tech

    Radically Re-Designing the Teaching Culture and Curriculum of a Department: The NSF RED Project


    At Virginia Tech, the vision of the ECE Department’s NSF Revolutionizing Engineering Departments (RED) grant is to transform an academic unit with two narrow curricular paths that attracts and produces a limited range of traditional engineers to one that draws and retains a wider pool of students and prepares them to be holistic “T-shaped” professionals for a broader range of careers.

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  • Niraj Jha, Princeton University

    Smart Healthcare


     The Internet-of-Things (IoT) era promises hundreds of billions of devices or physical objects connected to the Internet.  These objects include sensors, actuators, and processing elements that help us gather data, make intelligent decisions, and optimize processes. 

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  • Dileep Kalathil

    Reinforcement Learning with Robustness and Safety Guarantees


    Reinforcement Learning (RL) is the class of machine learning that addresses the problem of learning to control unknown dynamical systems. RL has achieved remarkable success recently in applications like playing games and robotics. However, most of these successes are limited to very structured or simulated environments. 

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  • Changzhi Li, Texas Tech University

    Portable Radar Circuits and Systems for Life Activity Sensing and Human Tracking


    By sensing various life activities with microwave signals, portable radar sensors with state-of-the-art front-end and measurement algorithms have great potential to improve healthcare, security, and human-machine interface.

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  • Kaiyuan Yang

    Tackling the Energy Constraints in Miniaturized Internet of Everything Devices


    Following Moore’s law and Bell’s law, miniaturization of electronic devices is continuously transforming the human life and the society. The next generation miniature devices are envisioned to ubiquitously connect physical objects in the world, digitizing cities, homes, industries, and human health and medicine.

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  • Jill Tietjen

    Keeping the Lights On: Preparing for the Electric Grid of the Future


    Discover what challenges and opportunities will be faced by the country's electric grid in the future as we decarbonize.

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  • Sameer Wagh

    Coming soon …


    Coming soon ...

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The Charles L. Brown Department of Electrical and Computer Engineering provides thought leadership via award-winning research, out-of-the-box solutions and turning-point ideas.

We aspire to be an inclusive and welcoming place for all, and a hub of innovation where research and teaching go hand-in-hand.

Our mission is to prepare the next generation of electrical and computer engineering leaders to solve society’s grand technological challenges and improve quality of life.