2019 Bachelor of Science in Engineering (BSE) Diploma Ceremony; Lisa Huettel, Madeline Briere E'19

Graduation with Departmental Distinction

Students conduct supervised research and present their results to faculty

Students who aspire to Graduate with Departmental Distinction within the Duke Department of Electrical & Computer Engineering conduct supervised research through independent study courses and present the results of individual research and study in written and oral forms to the department's faculty.

Those candidates who are judged by the faculty to have distinguished themselves through their paper and presentation earn Graduation with Departmental Distinction honors.

This accomplishment is recognized when the BSE degree is awarded. If that time is different from the principal Spring commencement exercises, the student work remains in contention for the Sherrerd Memorial Undergraduate Research Award for that academic year.

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To be considered for Graduation with Departmental Distinction a student must:

  • Have a 3.5 cumulative GPA
  • Successfully complete in his or her senior year a faculty-supervised Independent Study Project with significant Electrical and Computer Engineering accomplishment
  • Demonstrate the significance of this project in a formal written report and defended in an oral presentation before a committee of faculty members

Submitting the Report

Candidates must submit a 10-20 page written report (single-spaced, 12-point Times New Roman, single column) including figures and references.

The entire report must be submitted electronically to the Director of Undergraduate Studies Assistant, Ms. Jaleesa Singleton, at jaleesa.singleton@duke.edu, typically ten days before the oral presentation begins.

The project report essentially constitutes a senior thesis.

Example Projects

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  • Invertible Neural Networks for Inverse Kinematics, Jeremy Morgan, with Dr. Mary Cummings
  • BISTLock: Efficient IP Piracy Protection Using BIST, Siyuan Chen, with Dr. Krishnendu Chakrabarty
  • Unsupervised Sleep State Detection in Mice Using a Physiologically-Based Clustering Algorithm, Kat Hefter, with Dr. Carlson
  • Variation-Aware Delay Fault Testing, August Ning, with Dr. Krishnendu Chakrabarty
  • Detecting and Classifying Short-finned Pilot Whale Acoustics with Deep Learning, Virginia Pan, with Dr. Doug Nowacek
  • Foosball Coding: Improving Error Tolerance in 3D Racetrack Memory, Samantha Archer, with Dr. Daniel Sorin
  • Efficient Algorithms for Design Automation of Flow-Based Microfluidic Biochips, Aditya Sridhar, with Dr. Krishnendu Chakrabarty
  • Modeling Human-Autonomy Interaction of Drone Pilots in Disaster Environments, Ben Welton, with Dr. Mary Cummings
  • An Electric Vehicle with Novel Powertrain, Gerry Chen, with Dr. Angel Peterchev
  • Development of an Automated Trading Platform, Madeline Briere, with Dr. John Board
  • Attenuating Cochlear Implant Artifact in EEG Readings, Madhavi Rajiv, with Dr. Leslie Collins
  • Analysis of Passivation Techniques for Carbon Nanotube Thin-Film Transistors Aimed at Biosensing Applications, Nathaniel Brooke, with Dr. Aaron Franklin
  • Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks, Yilun Zhou, with Dr. Kris Hauser
  • Controlling and Comparing Directivity Patterns of Omnidirectional Loudspeakers, Spencer Bruno, with Drs. Donald Bliss and Linda Franzoni
  • Autism and Beyond: A Machine Learning Approach to Measuring Autism Risk Behaviors in Young Children, Yitaek Hwang, with Dr. Guillermo Sapiro
  • High Voltage MEMS Controllers for Use in a Quantum Computing System, Dennis Lynch, with Dr. Jungsang Kim
  • DNS Analysis: Detecting Network Trends and Anomalies, Christopher Streiffer, with Dr. Theophilus Benson
  • YarnApplicationStatistics: Collecting, Aggregating, and Visualizing Big Data Metrics, Rahul Swaminathan, with Dr. Benjamin Lee
  • Making Music with Motion, Brian Bolze, with Drs. Martin Brooke, George Konidaris, and John Supko
  • Visual Search Using Event-Related Potentials in a Brain-Computer Interface, Gregory Canal, with Dr. Leslie Collins
  • An Autonomously Powered Bicycle Dashboard with Gear Suggestion Capabilities, Minhazul Islam, with Dr. John Board
  • Resource Elasticity Fairness in Scale, Paul Kim, with Dr. Benjamin Lee
  • Human Machine Interfaces for Audio Control, Thomas Klebanoff, with Drs. Martin Brooke and Thomas DeFrantz
  • P300 Brain-Computer Interface Speller Augmentation with Eye Tracking, Kevin Liang, with Dr. Leslie Collins
  • Materials and Optical Characterization of Organic Solar Cells Deposited Using Resonant-Infrared Matrix Assisted Pulsed Laser Evaporation, Gift Nyikayaramba, with Dr. Adrienne Stiff-Roberts
  • An Autonomously Powered Bicycle Dashboard with Gear Suggestion Capabilities, Anshuman Prasad, with Dr. John Board
  • Reduced Precision Checking to Detect Errors in Floating Point Arithmetic, Yaqi Zhang, with Dr. Daniel Sorin