2022 M.Eng. Poster Session Winners

May 11, 2022

The ECE M.Eng. Poster Session was held in-person for the first time in three years on Tuesday May 10, 2022. A total of 66 posters were presented by our students over the course of two sessions, morning and afternoon. All posters were evaluated by a combination of ECE Faculty Members and ECE Ph.D. Students who served as judges.

The judges selected winners in seven categories, along with a Best Overall Poster award. The winning individuals and teams will present their posters again on Thursday, May 12 from 10:00 am until noon in the Duffield Atrium as part of our ECE Day celebration. Please stop by and congratulate them!

Winners

Best Overall Poster

Kunpeng Huang
"Versatile and Durable Construction Kit for On-Skin Interface"
Project Advisor: Cindy Hsin-Liu Kao

Best in AI / Pattern Recognition (Computer Vision, Machine Learning, Robotics)

Ding-Peng

Shuhan Ding, Yiling Peng
"Machine Learning to Guide Printed Electronics Fabrication"
Project Advisor: Peter Doerschuk

Best in Bio-Signals (Neural, Controls, Imaging, Bioinformatics)

Bintory-Mackey-Patel-Shen

Amina Bintory, Ian Mackey, Priyam Patel, Jingyi Shen
"Medical Image Landmark Localization"
Project Advisor: Anthony Reeves

Best in Communications (Information Theory, Network Coding, Digital Communications)

Barot-Pan-Wu

Swapnil Barot, Zehua Pan, Peicong Wu
"Centimeter-Scale Spacecraft"
Project Advisor: Joe Skovira

Best in Computer Systems (OS, Embedded, Networks, Architecture, Database)

Fang-LoCicero-Zhang

Lanyue Fang, Alex LoCicero, Jingkai Zhang
"Robust Automated Tower Spectrometer Control System"
Project Advisor: Joe Skovira

Best in Electronic Devices and Materials (Analog, Digital, Optics, MEMS, Circuits)

James-Lee

Luke James, Hamilton Lee
"Integrated Circuits for THz Optical Communication"
Project Advisor: Al Molnar

Best in Large Scale Systems (Power Systems, Energy)

Wyatt

Alec Wyatt
"Testbed for a Capacitive Wireless Charging Systems"
Project Advisor: Khurram Afridi

Best in Signal and Information Processing

Wang

Yue Wang
"Parallelism in Python for Statistical Inference"
Project Advisor: Peter Doerschuk

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