Graduation with Departmental Distinction

Students who aspire to Graduate with Departmental Distinction (GDD) within the Department of Electrical and Computer Engineering conduct supervised research through independent study courses and present the results of individual research and study in both written and oral forms to the department's faculty. Those candidates who are judged by the department's 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 Charles Seager prize for that academic year awarded each Spring Commencement. 

To be considered for Graduation with Departmental Distinction a student must have a 3.5 Cumulative GPA and must successfully complete in his or her Senior year a faculty supervised Independent Study project with significant Electrical and Computer Engineering accomplishment. The significance of this project must be demonstrated in a formal written report and defended in an oral presentation before a committee of faculty members.

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. Alex Naseree, at alexandra.naseree@duke.edu no later than one week before the oral presentation begins. The project report essentially constitutes a Senior thesis.

Example Graduation with Distinction Projects

Academic Year 2016-2017

  • Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks, Yilun Zhou, with Dr. Kris Hauser

Academic Year 2015-2016

  • 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

Academic Year 2014-2015

  • 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

Academic Year 2013-2014

Academic Year 2012-2013

Academic Year 2011-2012

Academic Year 2010-2011

Academic Year 2009-2010

Academic Year 2008-2009

Academic Year 2007-2008

Academic Year 2006-2007

Academic Year 2005-2006

Academic Year 2004-2005