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McKelvey School of Engineering •The Preston M. Green Department of
Electrical & Systems Engineering

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Undergraduate Programs

Student Projects

Students in the Department of Electrical & Systems Engineering have great opportunities to work on projects from a massive variety of topics, including population dynamics, robot interfaces, quadcopter simulation, systemic risk in financial networks, control of unoccupied aircraft and more.

Explore some of the past senior design and undergraduate research projects below.

Inspired and want to start you own project? Check out ESE 498 and ESE 499 to learn more.

 

2023-2024
2022-2023
2021-2022

  • Ryan Leach, Tillman James, Danny Andreev, Expansion of Autonomous Capabilities for The Rustler RC Car - The Little Rascal (Advisor: Jim Feher, Dorothy Wang), ESE 498/499, Fall 2021

  • Barclay Dale, Stephanie Bowater, Liza Kaniewski, Image Processing and Traffic Signal Identification (Advisor: Jim Feher, Dorothy Wang), ESE 499, Fall 2021

  • Natalia Castillo, Meagan Konst, General Purpose Raspberry Pi HAT for the Traxxas Rustler XL-5 Electrical RC Car (Advisor: Jim Feher, Dorothy Wang), ESE 498, Fall 2021

  • Jian Gao, Huitian Xia, Designing conventional graph apps and HLS kernels for a graph processing HLS benchmark suite, (Advisor: Silvia Zhang), ESE 498, Fall 2021

  • David Edelson, TJ Perusek, Residential Solar Energy Management System (Advisor: Jim Feher), ESE 4989 Spring 2022

  • Tom Fare, Kai Hu, Sam Li, Autonomous navigation using Raspberry Pi (Advisor: Dorothy Wang), ESE 498/499, Spring 2022

  • Tom Goon, Allison Todd, Caitlind Walker, Tesla Who? (Advisor: Dorothy Wang), ESE 498/499, Spring 2022

  • Leo Karp, Wyatt Pelton, Julianne Wegmann, Autonomous Raspberry Pi Car with Image Processing Based Navigation and Improved Speed (Advisors: Dorothy Wang) ESE 498, Spring 2022

  • Adam Knox-Warshaw, Arron Zheng, Kasey Nelson, Autonomous navigation using Raspberry Pi, (Advisor: Dorothy Wang), ESE 498, Spring 2022

  • Lauryn Smallwood, Arman Serpen, William Long, Raspberry Pi Based Autonomous Navigation and Control (Advisor: Dorothy Wang ESE 498/499, Spring 2022

  • Tyler Richards, David Papermaster,ReCap:Reprogrammable Modular Synthesis Hardware Platform (Advisor: Ed Richter), ESE 498, Spring 2022

  • Xavier Salcido, Brian Sun, Designing a Universal Pi 4 Sensor Platform (Advisor: Jason Trobaugh), ESE 498, Spring 2022

  • Jack Quire, Lucas Santana Rovira, Christian Snipes, Universal Pi 4 Sensor Platform (Advisor: Dorothy Wang), ESE 498/499, Spring 2022

2020-2021
  • Chance Bayles, Cole Fitzsimmons, Hannah Lester, Contact Tracing Via Wi-Fi Footprints: Algorithm Development and Analysis (Adviser: Neal Patwari), ESE 499, Fall 2020

  • Nathan Shreve, Matthew Bridges, Continuation of Powder Valley Copperhead Ecology Data (Adviser: Jim Feher), ESE 498, Fall 2020

  • Ben van der Sman, Katie Cardwell, Elizabeth Gikas, Mask Monitor Module (Adviser: Dr. Jim Feher), ESE 499, Fall 2020

  • James Cevasco, Tristan Carlson, Logan Thoms, Enhancement of Lunar Photography Capabilities for iPhone Cameras, (Adviser: Matthew Lew), ESE 498, Fall 2020

  • Katy Mockett, Adela Chen, Simplification of Raspberry Pi Car Interfaces, (Adviser: Jim Feher), ESE 498 ESE 499. Fall 2020

  • Alejandro Acevedo Guillot, Ishan Gauli, William Zachary Vernon, Autonomous PiCar built on stock RC vehicle, (Adviser: Jim Feher) ESE 499, Fall 2020

  • Sethin Burrier, Sierra Wang, Continuation of Powder Valley Copperhead Ecology Data Collection Using LoRa (Advisor: Jim Feher), ESE 498, Spring 2021

  • Elizabeth Chaparro, Nicholas Conrad, Alexis Mitchell, Fire Flighters: ​ The Seeking and Mapping of Forest Fires via Drones (Advisor: Sankalp Bhan), ESE 498/499, Spring 2021

  • Eva Cheung, Jennifer Fleites, John Harry Wagner, Brain-Computer Interface Development for EEG Control of Drones (Advisor: ShiNung Ching), ESE 498/499, Spring 2021

  • Ethan Cuka, Yucen Zhong, Weijia Will Li, Computational Optimal Control for Nonlinear Systems on E-VTOL (Advisors: Shen Zeng) ESE 499, Spring 2021

  • Khoa Vu, Thomas Flaim, Caleb Martin, Maximizing Stock Market Profits Using the VIX Indicator, (Advisor: Vladimir P. Kurenok), ESE 498/499, Spring 2021

  • Nathan Genstein, Tim Tague, Kaylynn Williamson, Hybrid Car Engine Optimization (Advisor: Dennis Mell), ESE 499, Spring 2021

  • Tom Kang, Quadruped Robot Project (Advisor: Louis Woodhams), ESE 498, Spring 2021

  • James Maguire, PowerBuoy® Backup Communications Module (Advisor: Dorothy Wang), ESE 498, Spring 2021

  • Stephen Richardson, Garrett Passamonti, Modeling Influenza Vaccine Outcomes by State Using a State-Space Representation and Derivative Control (Advisor: Neal Patwari), ESE 499, Spring 2021

  • Abbie Wolfe, Josh Peck, Dan Rosenburg, Powder Valley Snake Tracking Project (Advisor: Jim Feher), ESE 498, Spring 2021

  • Stefan Quach, UAV Object Detection Performance Analysis (Advisor: Silvia Zhang), ESE 498, Spring 2021

  • Nathaniel Rodriquez, Arielle Sexton, Controlling the Control System (Advisor: Shen Zeng), ESE 498, Spring 2021

2019-2020

  • Maggie Archer, Brian Beaumonte, Isabel Shapiro, RacecarJ Platform Integration for Machine Learning (Advisor: S. Zhang), ESE 498, ESE 499, Fall 2019

  • Lauren Bhambri, Nick Blenko, Trevor Julius, Decreasing Power Costs of Warehouse Refrigeration Through Efficient Cooling Scheduling (Advisor: Alex Zhang), ESE 499, Fall 2019

  • Neal Bansal, Nish Chakraburrty, Sean Rogers, Bringing Farming to the Future: A Study on the Design and Profitability of Vertical Farming (Advisor: Dr. Konstanina Kiousis), ESE 499, Fall 2019

  • Dean Choi, Jack Hyde, Lucy Liu, Spiking Neural Network on FPGA, (Advisor: Chakrabartty), ESE 498, Fall 2019

  • Billy Habimana Cyusa, Nhut Dang, Bryan Xie, Stock Prediction: An Approach based on Trend Following, (Advisor: Bassham), ESE 499. Fall 2019

  • Anna Cossio, Amelia Delzell, Kristine Ehlinger, A Machine-Learning Model for Evaluating the Effects of the Stay Healthy Clinic Intervention Program on Readmission Rates, (Advisor: La Rosa), ESE 498, Fall 2019

  • Serra Erdamar, Using Machine Learning Algorithms to Detect Entanglement in Quantum Systems, (Advisor: Shen), ESE 499, Fall 2019

  • Gabriela Hall, Fabrication Optimization and Initial Sensing of Microbubble Resonators for Biosensing,  (Advisor: Lan Yang), ESE 498, Fall 2019

  • Jessie Korovin and Adam Messer, Data-Driven Weekly Forecasting of Dow Jones Stocks Using Machine Learning, (Advisor: Kurenok), ESE498,  Fall 2019

  • Luke Lozenski, James Lee, and Owen Rathbone, Breathing Detection with Radio Frequency, (Advisor: Patwari), ESE 498, ESE 499, Fall 2019

  • Jason Christal & Anton Salem, Neurosurgery of Explosive Detecting Locusts via a Novel Automated Robotic Manipulator, (Advisor: Shantanu Chakrabartty), ESE 499, Fall 2019

  • Ethan Snow, Young Wang, Collis McKenzie, Power, Control, and Communication System Initial Design and Analysis for NASA Gateway Human Landing System, (Advisor: John Reed), ESE 498/499, Fall 2019

  • Yuqi Liu, Design of an Integrated Topological Circuit Array, (Advisor: X.S. Zhang), ESE 498, Fall 2019

  • Ginger Burrows, Chanel Lynn, Aidan Warren, Compressor Sorting Optimization, (Advisor: A. Zhang), ESE 498/499, Spring 2020

  • Patrick Naughton, Robert Esswein, Power Delivery Network as a Physically Unclonable Function (Advisor: Silvia Zhang), ESE 498, Spring 2020

  • Shouta Fukamachi, Ben Guan, Keith Kamons, Autonomous Integration of RacecarJ, (Advisor: Silvia Zhang), ESE 498/499, Spring 2020

  • Robert Goodloe Terence Havlik, Exploring Biological Control Systems: MeasuringLocust Brain Signals in Flight, (Advisors: Sankalp Bhan, ShiNung Ching) ESE 499, Spring 2020

  • Arnob Dam, Michael Pichardo, Zachary Steinberg, Dylan Zubata, Eaton-Bussmann Employee and Equipment Verification Using Deep Learning, (Advisor: Dorothy Wang), ESE 499, Spring 2020

  • Jenny Fang, Jockabeth  Ponce, Enrique Savillo, Wearable Pressure Sensor, (Advisor: Chuan Wang), ESE 498, Spring 2020

  • Hannah Fikes, William Gardner, Michael Williams, Powder Valley Copperhead Ecology Data Collection (Advisor: Jim Feher), ESE 498, Spring 2020

  • Alex Armour, Deep Jyoti,Optimizing Wellness and Integrating Calendars for Washington University Emergency Support Team Members) (Advisor: Krone), ESE 499, Spring 2020

  • Zach Wang, James Ma, Machine Learning-based Sales Analytics, ESE 499, Spring 2020

  • Austin Stover, Weronika Pach, Data Acquisition Systems for a Raman Spectrometer (Advisor: Pablo Sobron), ESE498/499, Spring 2020

2018-2019

  • Charlie Brickner, Stacey Harimoto, Matt Hain, Exploring Human Robot Interaction: Hand Guiding with a FANUC Robot (Adviser: Mell), ESE 499, Fall 2018

  • Liam Plambeck, Nirek Sharma, Continuous Model for HIV/AIDS Incorporating Pre- and Post-Exposure Treatments (Adviser: Feinstein), ESE 499, Fall 2018

  • Kyle Cepeda, Sarah Chen, Maya Coyle, Sustainable Energy System Development for the Tyson Research Center (Adviser: Feher), ESE 498/499, Fall 2018

  • Amelia Ma, Chufan Chen, PiCar Obstacle Avoidance and Object Tracking, (Adviser: Xuan Zhang), ESE 498, Fall 2018

  • Jordan Lewis, Andrew Sweren, Reducing Inefficiencies in Freight Transportation Networks (Adviser: Alex Zhang), ESE 499, Fall 2018

  • Claudia Smith, Vedant Jaipuria, Sam Kramer, Modeling Network Performance Through Capital Ratio Maintenance (Adviser: Feinstein), ESE 499, Fall 2018

  • John Fordice (Adviser: Feinstein), Data-Driven Equity Performance Forecasting, ESE 499, Fall 2018

  • Sam Ragsdale, Jack Wiernicki (Adviser: Mell) Self-balancing Two-wheeled Platform, ESE 499, Fall 2018

  • Cheris Black, Lissette Torres (Adviser: Chakrabartty), Sub-Vocal Speech Recognition, ESE 498, Spring 2019

  • Dyon Buitenkamp, Xuzhou 'Ricky' He (Adviser: Chakrabartty), Hardware Blockchain Design using FPGA for Voting, ESE 498, Spring 2019

  • Maxwell Comisky, Chris Gohlke, Ethan Pollock (Advisers: Bassham and Matthew), Optimization of USAF Airlift Flight Networks for Operational Readiness, ESE 499, Spring 2019

  • Ari Cotler, Lydia Reader, Mo Wu (Advisers: Trobaugh, Feher, Bankaitis), Household Tone Recognition for the Hearing Impaired Implemented on a Microprocessor, ESE 498, Spring 2019

  • Alexis Park, Benjamin Zev, Jeffrey Eichinger (Adviser: Alexander Zhang), Advanced Optimization of Freight Transportation Networks, ESE 499, Spring 2019

  • Ben Wang, Moira Feng (Adviser: Chakrabartty), Posture Recognition Project, ESE 498, Spring 2019

  • Rachael Sondag, Audrey Freeman, Caroline Stocking (Adviser: Feldman) Streamlining Olin Business School Course and Classroom Scheduling, ESE 499, Spring 2019

  • Joel Hahn, Nathan Mester, Sharath Sundaram (Adviser: Patwari) Device-Free Localization Data Structure Optimization and Algorithm Improvement, ESE 498, Spring 2019

  • Manohar Pradhan, Fazeela Kazmi (Adviser: Kurenok) Predictive Modelling of Stock Prices, ESE 499, Spring 2019

  • Kacey Lentz, Eden Livingston, Jess Ridderhoff (Adviser: Kurenok) An Examination of Detection and Evacuation Methods for Chemical Attacks on Transit Systems, ESE 498/499, Spring 2019

  • Connor Nam, Tianhao Yang, Yuanxiao Gao (Adviser: Silvia Zhang) Slow-Fast Dynamic System Control Approach, ESE 498/499, Spring 2019

  • Matt Shepherd, Izabella Pastrana, Megan Lin (Advisers: Chakrabartty, Buckley), FPGA-Based High Speed Data Stream Variance Computation, ESE 498/499, Spring 2019

  • Ben Rademaker, Matt Rocco, Kevin Van Cleave (Advisers: Chakrabartty, Wang), Data Collection Device for Soft Pressure Sensor, ESE 498, Spring 2019

  • Tianjiao (Jessie) Shi, Haixiang Ren (Adviser: Trobaugh) Human Following Cart with Owner Detection and Tracking, ESE 499, Spring 2019

  • Andrew Savino, Andrew Senol (Advisers: Trobaugh, Stark (Music)) Dynamic Tuning System, ESE 498-499, Spring 2019

  • Max Barnett (Adviser: Trobaugh) Model, Simulation, and Control of a Quadrotor UAV, ESE 499, Spring 2019

  • Jamar McDonald, Housing Selection Optimization, ESE 499, Spring 2019

2017-2018

  • Alex Herriott, Jordan Aronson, Michael Billington, Move to the Groove: Grinding Out a New Vertigo Dance Floor (Adviser: Morley), ESE 498, Fall 2017

  • Xinghan Wang, Huy Do, Xin Lin, Design of Recurrent Neural Networks to Identify and Control Nonlinear Systems (Adviser: Ching), ESE 498 and 499, Fall 2017

  • Daniel Knudsen, David Raso, Cheaper, More Accurate Weather Forecasting Via Machine Learning, ESE 499, Fall 2017

  • Shannon McCormick, Owen Pochettino, Self-powered Monitoring of G-force Experienced by Pilots Using Piezo-Floating-Gate Sensors (Adviser: Chakrabartty), ESE 498, Fall 2017

  • Olivia Beres, Savannah Rush, Kara Todd, Vehicle Matching for Student Volunteers: A Transportation Solution for the Gephardt Institute, ESE 499, Fall 2017

  • Maya Poncelet, Olivia Sachs, Erin Ettenger, Streetlight Repair in San Francisco (Advisers: noodle.ai)

  • Susan Luo, Jonathan Gross, Stochastic Analysis for Optimal Asset Portfolio Allocation, ESE 499, Fall 2017

  • Jamie Fuhrman, Elizabeth Abbott, Morgan Dentz, Analyzing systemic Risk Exposure in an Interconnected Network of Banks (Adviser: Feinstein), ESE 499, Fall 2017

  • Kevin Xu, Systemic Risk Mitigation in Dynamic Receivership and Auction Models (Adviser: Feinstein), ESE 499, Fall 2017

  • Devon Essick, Zach Mekus, Zach Pewitt, Industrial Refrigeration Cooling Cost Optimization (Adviser: Alex Zhang, Lineage Logistics), ESE 499, Spring 2018

  • Daniel Sullivan, MIMO Power Converters (Adviser: X.S. Zhang), ESE 498, Spring 2018

  • Victor Chiang, Timothy Chen, Ray Xu, Active Torque Vectoring (Adviser: Morley), ESE 498, Spring 2018

  • Ryan Sharma, Modeling Market Trades as an Arrival Process (Adviser: Belvedere Trading, LLC), ESE 499, Spring 2018

  • Zaneta Belay, The Application of Poly Acrylic Acid as a pH Sensitive Hydrogel in Whispering Gallery Mode Resonators (Adviser: Yang), ESE 498, Spring 2018

  • Travis Parr, Nicholas Gaudio, Clayton Keating, Signature Forgery Detection (Adviser: Morley), ESE 498, Spring 2018

  • Sydney Katz, Zachary Bluestein, Harold Zhu, Simulation of a Moving-Target Quadcopter Landing (Adviser: Morley), ESE 498, ESE 499, Spring 2018

  • Mitali Avadhani, Mani Raman, Caroline Trier, Vehicle Identification using Machine Learning (Adviser: Hunter Engineering), ESE 498, ESE 499, Spring 2018

  • David Battel, Michael Yee, Dan Evans, Computer Evolution of Conway’s Game of Life on an FPGA Coprocessor (Adviser: Cytron, Morley), ESE 498, Spring 2018

  • Timothy Chen, Victor Chiang, Ray Xu, Independent-Wheel-Drive (Torque Vectoring) Arduino-based Radio Control Car (Adviser: Morley), ESE 498, Spring 2018

  • Alan Coe, Neil Olson, FPGA-Based Digital Oscilloscope (Adviser: Morley), ESE 498, Spring 2018

  • Max Cetta, Arvind Radhakrishman, Lucas Kesselman, Jeannette Goldfarb Plant Growth Facility IoT Automation (Adviser: Dyer), ESE 498, ESE 499, Spring 2018

  • Taylor Myroth, Li Gao, Maximizing OR Utilization (Adviser: Schaettler, Trobaugh), ESE 499, Spring 2018

  • Mark Barnett, Control of Fixed-Wing Miniature UAV (Adviser: Wise), ESE 499, Spring 2018

  • Xiran Liu, Risk-Stratification of Prostate Cancer Based on Diffusion MRI Histology Using Machine Learning Algorithms (Adviser: Li), ESE 499, Spring 2018

  • Halley Cummings, Cloud Detection and Categorization (Adviser: Arye Nehorai), ESE 497, Fall 2017

  • Kara Todd, Determining Optimal Locations of Dispersed Police Stations in University City (Adviser: Trobaugh), ESE 497, Spring 2018

  • Maya Cole, Sustainable and Affordable Options for Low-Income Housing in St. Louis (Adviser: Trobaugh), ESE 497, Spring 2018

2016-2017

  • Zoe Cohen, Kara Dimicco (Adviser: Shantanu Chakrabartty), Identifying Ischemic Stroke Patients via CT Scans using a Neural Network, ESE 498, Spring 2017

  • John MacKay, Seth Ebner (Adviser: Shantanu Chakrabartty), FPGA Platform for Growth Transform Neural Network, ESE 498, Spring 2017

  • Alex Carsello, Andrew Ellison (Adviser: William D. Richard), Real-Time FPGA-Based Optical Flow System, ESE 498, Spring 2017

  • Philip Johnston, Yifan Ruan, and Lucas Schmidt, Exotic Option Pricing Optimization Using Monte Carlo Simulations with FPGA's, ESE 498/499, Spring 2017

  • Charles Hang, Johanna Malaer, Signal Conductor Intermittency Detector, ESE 498, Spring 2017

  • Meizhi Wang (Advisers: Humberto Gonzalez, Silvia Zhang), Motor Controller Design for the Raspberry Pi-Powered Autonomous Research Vehicle, ESE 498, Spring 2017

  • Elliot Jaffe, Allen Nikka, Colin Wade (Adviser: Robert Morley), PortaVolt: A Low-Cost Solar-Powered Portable Energy Storage solution, ESE 498, Spring 2017

  • Rui Huang, Taryn Young (Adviser: Jinsong Zhang), Bike Sharing Program Using Wireless Sensor Networks, ESE 498, Spring 2017

  • Erika Roedl, Blake Welch, Laundry Beacon: For Small to Medium Laundry Rooms, ESE 498, Spring 2017

  • Teja Vallapuri, SomniScan Hardware, ESE 498, Spring 2017

  • Nikhil Junnarkar, Alexander Cruise (Adviser: Feinstein), Coupled Stochastic Differential Equations Model to Simulate Systemic Risk in Banking Systems, ESE 499, Spring 2017

  • Woenho Chung, Nathan Vogt (Adviser: Feinstein), Controlling the Stability of an Interconnected Financial Network, ESE 498, Spring 2017

  • Sumant Argawal, Hunter Montgomery, Alex Qin (Adviser: August Roesener), Operations Analysis and Forecasting for The Wine Merchant, ESE 499, Spring 2017

  • Sam Jones (Adviser: Zachary Feinstein), Feedforward Machine Learning Systems to Improve Cryptocurrency Pricing Models, ESE 499, Spring 2017

  • Matthew Stern, Chelsea Branson (Advisers: Zach Feinstein, Jason Trobaugh, OFS Staff), Inventory Management and Distribution Decisioning for Operation Food Search, ESE 499, Spring 2017

  • Matt Kollada and Alastair Hicklin-Coorey (Adviser: Dennis Mell), Cheap and Lightweight Gimbal for Quadcopter Drone, ESE 499, Spring 2017

  • Michael Yu, Four-wheel steering for the FSAE Vehicle, ESE 499, Spring 2017

  • Jae Sang Ha, Mintaek Lim (Adviser: ShiNung Ching), Diagnosis of Insomnia by Evaluating Alpha Brain Waves, ESE 499, Spring 2017

  • Jackie Marlin, Jake Starr (Adviser: Brad Clay, BioMerieux), A Matlab Approach to Automated Bacterial Colony Counting, ESE 499, Spring 2017

  • Bridget Ahad, Ben Bishop, James Wall (Adviser: ShiNung Ching), Utilizing EEG Recordings to Determine Spatial and Temporal Interactions in the Brain, ESE 498, ESE 499, Spring 2017

  • Alison Gu, Rebecca Ho, Natasha Zachariades (Advisers: Randall Hoven, Jinsong Zhang), Addressing the Animal Tracking Problem Using Estimators and the Argos Doppler, ESE 498, Spring 2017

  • Tim Chen (Supervisor: Arye Nehorai), Reconstructing Missing Climate Data via Matrix Completion, ESE 497, Spring 2017

  • Alexander Bluestein, Savannah Johnson and Ariel Stern (Supervisor: Dan Livengood), Theme Park Optimization, ESE 499, Fall 2016

  • Lauren Maltz, Casey Sands, Scott Johnson (Supervisor: Zach Feinstein), Patient Intake Efficiency in Hospital Emergency Rooms, ESE 499, Fall 2016

  • Jacob Caddick, Jack Whitman and Melanie Ehrenberg (Supervisor: Zach Feinstein), Modeling the Systemic Risk of Financial Networks through Default Analysis, ESE 499, Fall 2016

  • Maomao Lai, Casey Nordberg, and Natasha Zachariades (Supervisor: Zach Feinstein), Scheduling Optimizer for the Washington University Circulator at the Clocktower, ESE 499, Fall 2016

  • Emre Gunay, Melissa Wong, Margie Gomez (Supervisor: Zach Feinstein), Optimizing the Airline Boarding Process, ESE 499, Fall 2016

  • Jeffrey Gu and Kristen Koyanagi (Supervisor: Humberto Gonzalez), Communications Protocol for Raspberry Pi Autonomous Vehicles, ESE 499, Fall 2016

  • Meizhi Wang, Reese Frerichs (Supervisor: Humberto Gonzalez), Raspberry Pi-Powered Autonomous Research Vehicle, ESE 499, Fall 2016

  • Jongwoon Kim and Kyutaek Oh (Supervisor: ShiNung Ching), Completing Cooperative Tasks by Utilizing Brain Computer Interface, ESE 499, Fall 2016

  • Zoe Cohen (Supervisors: Prateek Gundannavar, Arye Nehorai), Automatic Sleep Stage Classification using a Neural Network Algorithm , ESE 497, Fall 2016

  • Annie Brinza, Kara Dimicco, Leticia Hassett (Supervisor: ShiNung Ching), Designing a Brain-Based Classifier of Risk, ESE 499, Fall 2016

  • Anna Boerwinkle, Annie Gocke, Shilpi Sharma (Adviser: Zachary Feinstein), Discrete Event Simulation of Let's Talk Attendance, ESE 499, Fall 2016

  • Deko Ricketts (Supervisor: Humberto Gonzalez), PV Remote Rapid Shutdown System (RRSS) , ESE 499, Fall 2016

  • Jonathan Gross (Supervisors: Ed Richter, Arye Nehorai), Robotic Arm Pile Sorting, ESE497, Summer 2016,

  • Michael Billington, Keven Kevin Jiang (Supervisors:Ed Richter, Arye Nehorai), Doppler Shift Human Detection using a Microphone Array , ESE 497, Summer 2016

2015-2016

  • Xiangyang Mou (Supervisor: Arye Nehorai), Cocktail Party Hearing Aid using a Microphone Array, ESE 497, Summer 2015

  • Yifan Wang and Stephen Gower (Supervisor: Arye Nehorai), Robotic Avoidance using Kinect and UST , ESE 497, Summer 2015

  • Ren Liang Liang ,Tsinghua University, (Supervisor: Arye Nehorai, Martin Hurtado, Ed Richter), Radio Tomographic Imaging-Based Fall Detection, Video, ESE 497, Summer 2015

  • Katherine Shermoen, Kjartan Brownell (Supervisor: Jinsong Zhang), Wireless Sensor Network-Enabled Parking Garage Monitoring System, ESE 499, Spring 2016

  • Jiayi Fu, Mengdi Wu (Supervisor: ShiNung Ching), Real-time EEG Acquisition, ESE 499, Spring 2016

  • Runze Han (Supervisor: Arye Nehorai), Detection and Classification of Freezing of Gait in Parkison Disease Patients, ESE 499, Spring 2016

  • Ian Sekiguchi (Supervisor: Robert Morley), Microphone Array Beamforming, ESE 499, Spring 2016

  • Tyler Westenbroek (Supervisor: Humberto Gonzalez), Optimal Control of Hybrid Systems Using a Feedback Relaxed Control Formulation, ESE 499, Spring 2016

  • Jesse Weissberg, David D’Agrosa, Ali Rangwala (Supervisor: Humberto Gonzalez), Computer Vision Rover, ESE 499, Spring 2016

  • Duncan Rodriguez (Supervisor: Humberto Gonzalez), State Prediction of Physical Systems via Kalman Filtering, ESE 499, Spring 2016

  • Makai Mann and David Sehloff (Supervisor: Arye Nehorai), Machine Learning Approaches to Solar Output Forecasting, ESE 499, Fall 2015

  • Kaitlin Crawley and Jameson West (Supervisor: Zachary Feinstein), Four Factors Analysis for Washington University Women’s Basketball, ESE 499, Fall 2015

  • Reed Dalton, Bryan Thompson, Louis Wilson (Supervisor: Vladimir Kurenok), Call Option Volatility with Black-Scholes-Merton Model, ESE 499, Fall 2015

  • Julie Messing, Erik Carlson, Blake McCartin (Supervisor: Paul Min), Comparative Analysis of Forecasting Models for Aviation in the United States, ESE 499, Spring 2016

  • Willie deButts, Noah Lieberman (Supervisor: Zachary Feinstein), Algorithmically Redistricting Maryland, ESE 499, Spring 2016

  • Vince Campanale, Connor Jacobs (Supervisor: Zachary Feinstein), MLB Stolen Base Modeling, ESE 499, Spring 2016

  • Jonathan Ng, Ryan Gleue (Supervisor: Daniel Livengood), Student Health Services: An Improved Appointment Scheduling Method, ESE 499, Spring 2016

  • Carolyn Arden, Mehrmah Haider, Heather Jin (Supervisor: Zachary Feinstein), WUChoice: A Linear Programming Tool to Minimize Food Costs at Washington University, ESE 499, Spring 2016

  • Celso Torres, Jacob Cavner (Supervisor: Zachary Feinstein), Financial Market Predictor, ESE 499, Spring 2016

  • Catalina Cuervo, Hannah Barnes (Supervisor: Zachary Feinstein), Ibby’s Brunch: Demand Forecasting and Optimization, ESE 499, Spring 2016

  • Ryan West, Ryan Wehrle (Supervisor: Daniel Livengood), Infusion Center Schedule Optimization, ESE 499, Spring 2016

  • Alex Graham, Matt Goad, Jake Deavers (Supervisor: Paul Min), Optimizing the American Distribution Services with the Acquisition of North Shore Transportation Order Fulfillment Process, ESE 499, Spring 2016

  • Kaci Karlsson (Supervisor: Paul Min), Modeling a Bus Rapid Transit Station, ESE 499, Spring 2016

  • John Kubinak, Aleks Larsen, Daniel Douglass (Supervisor: Paul Min), Pennant Sportswear Shipment Packing Optimization, ESE 499, Spring 2016

  • Jiayi Fu (Supervisor: JT Shen), Ultra-Short-Focus Microlens, ESE 499, Spring 2016

  • John Emmons (Supervisor: Jeremy Buhler), Design and Performance Analysis of a GPU Regulatory Motif Finding Algorithm, ESE 499, Fall 2015