Projects Day 2014–2015
Computer Science Clinic
Apatite to Zircon, Inc.
Mapping for Microscopes: Automatic Processing of Apatite Images
Liaisons: Ray Donelick P15, Ravi Kumar ’14
Advisor: Zachary Dodds
Students: Kaya Woodall (PM), Justin Jones, Kathleen Schaefer, Richard J.T. Booth
Apatite to Zircon is a geology company that specializes in sediment analysis for determining a region’s geological history. A majority of the geologists’ time is spent at the microscope, manually searching for crystals to be analyzed. To increase the flexibility of this process, we implemented a fully-automated system that captures in-focus images across an entire slide, which we then provide in a seamless, high-definition viewing environment. In addition, we also generate locations of suggested crystals of interest.
Dart Neuroscience, LLC
Design and Implementation of a Next-Generation Software System for Non-Human Primate Testing
Liaisons: Philip Cheung ’96, John McNeil ’89
Advisor: Ben Wiedermann
Students: Mary Elise Elam (PM-S), Ari Hausman-Cohen (PM-F), Marjorie Principato, Alexander Swafford
The DNS/HMC clinic team is creating testing software to be used by Dart NeuroScience for drug discovery. The project bridges the newly created hardware and the researchers’ language more effectively than the current system. It allows biologists to use their terminology to create new tests without loss of intellectual property. It also provides valuable feedback and flexibility to the researchers that is not present in their current system.
Geographic Relevance for Travel Search
Liaisons: Brooke Cowan, Jean-Cedric Desrochers, Yanick Duchesne, Hervé Hacot, Ondrej Linda, Michael Mai
Advisor: Robert Keller
Students: Chris Brown, Benjamin Leader, Hannah Long (PM), Nabil Zaman
The online travel industry faces challenges in providing relevant information to travelers searching in an exploratory manner. Many travelers would like to explore possible destinations based on qualitative features such as interesting history or great museums. The purpose of this project is to help Expedia respond to these qualitative search queries by designing a demonstrably effective method to associate hotels and regions around the world with the higher-level attributes that describe them, such as “family-friendly,” “cultural,” or “romantic.”
PC-Based Home Automation
Liaison: Mark Yarvis
Advisor: Ran Libeskind-Hadas
Students: Johnathan Ashley, James Bowen, Najla Bulous (PM-F), Vanessa Ronan (PM-S)
The Intel Clinic team is developing a system to help homeowners decrease their energy usage in accordance with their own goals. The system tracks the energy consumption of electric devices in a user’s home and uses machine learning methods to recommend energy saving practices. Once accepted by the user, these recommendations are implemented using a home automation system.
Software-Defined Network Taps
Liaison: Kris Raney
Advisor: Geoff Kuenning
Students: Bryan Trujillo (PM), John Phillpot, Mari Bennett, Sam Schumer
Ixia is interested in extending the reach of their solutions to cover new type of network that is “software-defined.” A software-defined network (SDN) allows for easier configuration and maintenance, as every device in the network is controlled centrally. Our application will serve as a tap for SDNs, allowing the user to process, duplicate, and redirect their network traffic more easily.
Lawrence Livermore National Laboratory
Conduit: Scientific Data Exchange for HPC Simulations
Liaisons: Cyrus Harrison, Adam Kunen, Brian Ryujin
Advisor: Robert Keller
Students: George Aspesi, Justin Bai, Rupert Deese (PM), Linnea Shin
Conduit is a new open-source library for high performance computing (HPC) applications, developed at LLNL. It provides a C++ interface for describing and accessing complex in-core data. Our team tested and improved Conduit to make it more appealing for adoption within the HPC community. We extended Conduit’s capabilities by prototyping an I/O library, Message Passing Interface (MPI) wrappers, and a visualization tool. We also demonstrated the use of Conduit for aggregating performance data for MPI programs.
Improving LinkedIn’s Graph Software Load Balancer
Liaisons: Joshua Ehrlich ’11, SungJu Cho, Brandon Duncan
Advisor: Ran Libeskind-Hadas
Students: Eoin Nugent (PM-F), Brian Leonard, Christine Schubert (PM-S), Helen Woodward
LinkedIn is a leading professional networking service with over 300 million users. It is important for a large social network such as LinkedIn to balance loads efficiently in order to provide the best user experience. This Clinic project has improved Norbert, the load balancer used by the social graph team. Norbert is an open source project implemented in both Java and Scala by LinkedIn developers. Norbert provides a simple API to deal with cluster management and client/ server networking.
Gaming Reality: Real-World 3D Models in Interactive Media
Liaison: Mike Beebe ’01
Advisor: Zachary Dodds
Students: Kevin Choi (PM), Sisi Cheng, Emma Davis, Noelle Fa-Kaji, Alden Weaver
Matterport is interested in expanding the consumer usage of their 3D models of interior spaces. To that end, our goal was to create a product which demonstrates the strength of Matterport models in a way that highlights possible applications using consumer-generated models. The end product is an iOS game that is geared towards incoming Harvey Mudd first-years and uses models of real interior spaces at Harvey Mudd.
Snapdragon-Based Robot Development
Liaisons: Rahul Anand, Suraj Swami, Áine Shivnan, Vito Bica
Advisor: Jim Boerkoel
Students: Taylor Peterson (PM), Sean Messenger, Jandro Alderman, Andrew Michaud
Qualcomm Technologies, Inc. believes that the Snapdragon 600 system-on-a-chip (SOC) has many potential uses in mobile robotics. The IFC6410 is a single-board computer utilizing this SOC that can fit on most robotic platforms. This project will use the IFC6410 as the brains of a TurtleBot, enabling it to localize in a known environment, navigate between goal locations, and provide tour guide functionality. In doing so, we will demonstrate the capabilities of the Snapdragon 600 in a robotics context.
Achieving Distributed Point-in-Time Consistency for Geo-Replication
Liaisons: Ian Colle, Greg Farnum ’09, Sam Just ’10, and Sage Weil ’00
Advisor: Beth Trushkowsky
Students: Michael Saffron (PM), Nick Carter, Matt Cook, Philip Davis
Red Hat’s Ceph is an open source, hyper-scalable, distributed, strongly consistent file system. Red Hat is interested in supporting geo-replication of data in a Ceph instance, which requires the ability to take consistent, point-in-time, online snapshots of the complete distributed system. We propose and analyze an algorithm that uses time synchronization and transient write delays to implement this snapshotting feature while maintaining Ceph’s consistency and performance guarantees.
Rubicon Project – Query
Real-Time Query and Visualization of Large-Scale Data Streams
Liaison: Avinash Shahdadpuri
Advisor: Chris Stone
Students: Victor Bhattacharyya (PM-S), Bruce Yan (PM-F), Isabella Funke, Xiaofan Fang
The Rubicon Project Clinic team is working to build a large-scale data pipeline that can ingest data in many formats so that the data can be queried and visualized in real-time. Users can ask for information about the data, and visualizations for user queries should update in real-time, and be available on a dashboard that loads in under ten seconds. Additionally, the pipeline should be able to handle one billion events per day.
Rubicon Project – Stream
Real-Time Data Aggregation
Liaison: Nader Salehi
Advisor: Chris Stone
Students: Eli Gadd (PM-F), Alex Melville (PM-S), Colin Stanfill, Jesse Watts-Russell
Rubicon Project operates a fully automated trading platform for the buying and selling of online advertisements all over the world. This platform generates a tremendous amount of data which takes up to an hour to aggregate in a data center before it can be analyzed. We are designing a real-time streaming system that will serve as a proof of concept to reduce the latency to as low as a minute.
Sandia National Laboratories
Reengineering HPC Kernels for Manycore Architectures
Liaisons: H. Carter Edwards, Robert J. Hoekstra
Advisor: Jeff Amelang
Students: Brett Collins (PM), Alex Gruver, Ellen Hui, Tyler Marklyn
We worked with Sandia National Labs to explore the performance of various strategies for implementing thread parallel computational kernels on the CPU and GPU. Based on our research and performance analysis we developed recommendations for maximizing the performance of these kernels. We also provided data about the usability and performance of their parallel computing library, Kokkos. These results will help Sandia expand the usage of Kokkos both externally and throughout their code base.
Process Time Analysis in Spaceflight
Liaisons: Jessica Hester ’13, Jesse Keller, Jim Gruen
Advisor: Ben Wiedermann
Students: Wendy Brooks (PM-F), May Lynn Forssen (PM-S), Alix Joe, Rachel Macfarlane
SpaceX designs, manufactures, and launches rockets. Identifying problems in the software on these rockets is often slow. SpaceX engineers currently use an old tool to help find these problems. We received feedback from our liaisons and other SpaceX engineers. This helped us to recreate the tool with new features that improve the user experience.
Veneer Color Classification
Liaisons: Ed Vanderbilt, Patrick Kruizenga, Mark Schild, Jim Klaes, Joe Verbraska
Advisor: Jim Boerkoel
Students: Michelle Chesley, Coline Devin (PM-F), Andrew Donelick (PM-S), Wai Sing Wong
The goal of the project is to develop an automated process for determining the grade and color profile of various wood raw materials. This process includes classifying the base color, evaluating whether it meets desired thresholds for particular project needs, and then indexing and archiving a visualization of the veneer for later use and quick retrieval.
Image Tagging Platform
Liaisons: Colin Bodell P14, Ray Rettino, Jeff Levy
Advisor: Geoff Kuenning
Students: Emily Blatter, Nicole Chang (PM-S), Daisy Hernandez (PM-F), Henry Tay, Stephanie Zellner
Time, Inc. is the largest magazine media company in the U.S., owning brands like People, Time, and Sports Illustrated. Their magazine editors receive over 200,000 photos in a very small window of time from large events like the Oscars and the Super Bowl. Our goal was to make the image search and selection processes more efficient by creating modules that add metadata to each photo that indicate image quality and the presence of significant features.
University of British Columbia
Design and Analysis of RNA Molecules with Diverse Folding Pathways
Liaison: Dr. Anne Condon
Advisor: Elizabeth Sweedyk
Students: Rachel Sherman (PM), Kennedy Agwamba (F), Sasha Heinen, Carson Ramsden
Artificially designed nucleic acid molecules with diverse folding pathways have many potential uses, from performing computations with biological material, to having therapeutic applications. However, designing molecules that behave predictably is challenging. Building on software that simulates a molecule folding, our software outputs statistics and graphics about potentially interesting structures in a molecule’s folding pathway. Researchers can use this software to test and modify new designs until they fold as desired. Additionally, we have analyzed a theorized molecule and proposed modifications to its structure.
Detecting Location Intent From Context
Liaisons: Benjamin Goldenberg ’10, Colin Pollock, Phillip Zukin
Advisor: Julie Medero
Students: Ethan Kenny (PM-S), Viona Lam (PM-F), Henry Huang, Angela Zhou
Currently a Yelp search is split into two fields: the query and the location. Our goal is to create a prototype that returns more relevant results to the user by better identifying and understanding locational information in the query field. In addition, we outline how our system could be incorporated into Yelp at a national level and ultimately be used to implement a single field search.
Merchant Recommendation Systems
Liaisons: ChienHsun Huang, Matthew Meyer, Huiming Qu, Henry Yuan
Advisor: Elizabeth Sweedyk
Students: Arthur Chi, Corey Hayes, Billy Mills, Tongjia Shi (PM-S), Matthew Wilber (PM-F)
American Express provides financial services to much of the United States and world populations and maintains a large network of cardholder transaction data. This gives American Express the potential to make high quality recommendations to cardholders, suggesting small businesses they would enjoy but have yet to discover. The Clinic project aims to explore a variety of recommendation algorithms to improve upon the performance and scalability of the current American Express recommendation engine.
Quantifying Latent Fingerprint Quality
Liaisons: Nicholas Orlans, Sarah Doyle
Advisor: Yi-Chieh (Jessica) Wu
Students: Martin Loncaric (PM-S), Sarah Scheffler (PM-F), Jordan Varney, Christopher Eriksen
The MITRE Corporation has created test methods and fingerprint image quality metrics that automated fingerprint identification systems rely on for function and interoperability. Our team is producing methods to extend MITRE’s system to measure the quality of unintentionally deposited fingerprints, which may be too smudged or incomplete for use. Using image processing and statistical techniques, our model will help determine the strength of evidence provided by a fingerprint image.
Understanding and Preventing Threat Through Security Data Analysis
Liaisons: Derek Abdine, Corinne Druhan ’14, James Green, Roy Hodgeman, Eric Reiners, Jon Wollman
Advisor: Lisette de Pillis
Students: Will Clausen, Abhishek Goenka, Huameng (Michael) Jiang, Arianna Perkins (PM),
Xinlei (Mimee) Xu
Given security data collected in the duration of an attack, the team will structure the data, explore the data, evaluate the possibility of determining if and when an attack occurs, and attempt to develop algorithms for detecting relevant patterns in real-time. If successful, the team may work toward developing a package for analyzing security data for Rapid7.
The Aerospace Corporation
CubeSat Spectrum Analyzer
Liaisons: Dr. Samuel S. Osofsky ’85, Michael Rolenz
Advisor: Matthew Spencer
Students: Leif Park Jordan (TL-S), Andrew Wells (TL-F), Eric Storm, Ramy Elminyawi (S), Austin Fikes(S), Eddie Gonzales (F), Sarah Paek (F)
Spectrum is a precious commodity. The UHF frequency band is used globally by terrestrial and space-based communication systems, but its utilization isn’t well characterized. The Aerospace Corporation team designed, built, and demonstrated a Picosatellite compatible payload to measure radio frequency energy within the UHF band. A Picosatellite, which can be sent into orbit inexpensively, would host this payload and map UHF radio energy while it orbits the globe in order to help plan future satellite use of the UHF band.
Blue Origin, LLC
Low-Cost Drogue Parachute Deployment System
Liaisons: Brian Barnes, Rosalind Beckwith ’07, Dan Roche ’05, Laura Stiles, Heather Nelson
Advisor: Mary Cardenas
Students: Ryland Miller (TL-S), Matt Espy (TL-F), Peter Orme, Spenser Anderson (S), Sherman Lam (S), Sam DeRose (F), Bryan Mehall (F)
Blue Origin, LLC is developing technologies to enable human access to space at dramatically lower cost and increased reliability. To support this goal, the Blue Origin Clinic team has investigated alternatives to the explosive charges typically used to deploy drogue parachutes from spacecraft. The team designed, constructed, and tested a prototype that uses the rapid release of a compressed fluid to deploy a drogue parachute at reduced cost while maintaining system performance.
Revolutionizing Secondary IV Delivery
Liaison: Robert Butterfield
Advisor: Gordon Krauss
Students: Huy Nguyen (TL-S), Michelle Wei (TL-F), Vaclav Barina, Jeanette Liu (S), Allison Barry (F), Julie Chang (F)
Intermittent secondary or ‘piggyback’ IV infusions are often used for delivery of critical medication but are error prone due to the complexity of the method used by most IV pumps. The CareFusion Clinic team is tasked with designing an improved Secondary IV delivery system that is cost-effective, accurate, and reduces user error.
City of Hope
Measuring Signals of Surgeon Fatigue in the Operating Room
Liaisons: Dr. Yuman Fong, Dr. Byrne Lee
Advisor: Christopher Clark
Students: Jingbin (Katherine) Yang (TL-S), Ivan Wong (TL-F), Cindy Angpraseuth, Nicole Kowtko, Benjamin Teng (S)
The 2014-2015 City of Hope Tracking Team designed and prototyped a wearable package to monitor signals related to fatigue and stream real time video of an operation from a surgeon’s point of view. Data from this system will be used for educational purposes and to improve safety by monitoring surgeon fatigue in the operating room.
City of Hope
Novel Artificial Urinary Sphincter
Liaison: Kevin G. Chan, M.D.
Advisor: Lori Bassman
Students: Risa Egerter (TL-S), Cassandra Meyer (TL-F), Sophia Williams, Jonathan Wong (POM), Maggie Liu (S)
Implantable artificial urinary sphincters allow patients with urinary incontinence to control their urine flow. For over 40 years, the industry standard for treating severe cases of male urinary incontinence has remained unchanged. We have designed, built, and tested a novel artificial urinary sphincter device that improves ease of use for patients and simplifies surgical implantation to reduce complications.
End of Robotic-Arm Tool for Sample Hit Picking
Liaisons: Kyle Lapham (S), Daniel Delubac (F)
Advisor: David Money Harris
Students: Aarthi Sridhar (TL-S), Varun Kanwar (TL-S), Jirka Hladis, Nicole Subler (S), Apoorva Sharma(S), Caroline Neilson (F)
The Counsyl Clinic Team designed, built, and tested an end-of-robotic-arm tool that allows for individual linear actuation of 12 pipette tips for liquid sample transfer. The goal of the project was to reduce the footprint of the tool and increase the throughput of liquid-handling operations. The team tested both a motor-based and pneumatic-based design, then delivered a complete 12-actuator motor system for easy integration into Counsyl’s pipeline, as well as plans for the pneumatic design alternative.
Dart Neuroscience, LLC
Design and Implementation of a Memory Testing Apparatus for Non-Human Primates
Liaisons: Philip Cheung ’96, John McNeil ’89, Jef Vivian
Advisor: Josef Spjut
Students: Guillaume Legrain (EX), Zach Vickland, Xin “Cyrus” Huang, Minh Triet Nguyen, Sebastian Krupa, Fabiha Hannan (F), Maggie Rabasca (F), Tiancheng Yang (F)
Dart Neuroscience is a biomedical company focused on combating cognitive issues such as memory loss. The purpose of this project is to design an automated testing apparatus to streamline drug discovery. The project focuses on hardware-software interaction and feedback control of a system of microcontrollers in an effort to create a reproducible testing environment. The product will be used by biologists to design, evaluate, and run experiments to determine drug efficacy.
Mobile Health Monitoring System for Opioid Patients
Liaison: Dr. Stephen McCormack
Advisor: David Harris
Students: Rachel Roley (TL-S), Jennifer Zheng (TL-F), Huong Nguyen, Alex Alves (S), Angela Ng (F)
In recent years, the number of deaths from opioid overdoses has greatly increased. The Harvey Mudd Exela Health team has built a mobile health monitoring system designed to collect data on patients taking opioids. This system integrates sensors to measure electrocardiogram (ECG), respiration, and motion data. This prototype will be used to help determine how these vital signs are affected by opioid use. Possible future work will implement an overdose detection algorithm to help prevent unnecessary deaths.
Lab Scale Bioreactor Autosampling Enhancements
Liaison: Terry Hudson
Advisor: Elizabeth Orwin
Students: Cody Crosby (TL-S), Mengyi Tao (TL-F), Weimeng (Stephanie) Kong, Eric Caldwell (S), Ana Villa (S), Thendral Govindaraj (F)
Genentech employs sterile lab scale bioreactors to engineer drug-based medical solutions. Typically, bioreactors are manually sampled to monitor their internal conditions and to ensure cell culture integrity. An automated sampling system was introduced to increase sampling efficiency and to reduce ergonomic risk. However, foreign contaminants compromised the sterility of the system. The Genentech Clinic Team has designed, built, and tested two distinct sterile barriers that will increase the reliability of the pre-existing automated sampling system.
Improvement of the Second Stage Regulator in SCBA
Liaison: Mark Delsman ’98/99
Advisor: Anthony Bright
Students: Ji Su Lee (TL), Vivian Steyert, Nicole Kyle (S), Christina Zeeb (S), Mo Zhao (S), Cory Johnson (F), Kelly Robertson (F)
The Honeywell Clinic team is working on improving Honeywell’s Self-Contained Breathing Apparatus. In particular, the project is focused on reducing facemask pressure noise and drift that are caused by the second stage regulator. The team focused on both computer simulations and experimental testing to determine root causes of such problematic behaviors.
Network Test System Built from Off-The-Shelf Devices
Liaison: Alon Regev
Advisor: Josef Spjut
Students: Josh Sanz (TL-S), Stephen Ibanez (TL-F), Olivier Cheng (EX), Amy Ngai, Daniel Xie (S), Avi Thaker (F)
Ixia produces high-performance network testing equipment used by many large corporations. They desire a network testing device built from off the shelf components to reduce cost and make upgrading easier. The device was implemented using an FPGA connected via PCIe to a PC running Linux with low-level device drivers to enable communication. 1, 10 and 40Gbps Ethernet connections and most major network protocols are supported. Additionally, the device performs high resolution packet latency analysis to enable network characterization.
Los Alamos National Laboratory
Data Center Humidification System Overhaul and Redundancy Strategy
Liaisons: Michael Ferguson, David Walker, Cindy Martin
Advisor: Anthony Bright
Students: Lingxiao (Bruce) Yan (TL-S), Tamara Savage (TL-F), Ariel Willey, Julia Fox (F), Daniel Lee (S), Josephine Chen (S), Rose Martin (F)
The relative humidity of Los Alamos National Laboratory’s (LANL) supercomputing data center must remain within a specific range to prevent electrostatic discharge. The LANL Clinic Team evaluated LANL’s existing humidification system and investigated different options to provide a backup system. The team has made a recommendation to LANL for the best humidification option and developed a detailed plan for the implementation and maintenance of the new system, including its monitoring and alarm systems.
Mazda North American Operations
Automotive Accessory Design Concept
Liaisons: Kazunari Muranaka, Ryan Walsh
Advisors: Okitsugu Furuya, Patrick Little
Students: Amanda Bennett (TL-S), Annie Chung (TL-F), Sarah Stevens, Richard Piersall (S),
Maxwell Waugaman (S), Adam Schiller (F), Alexander Rich (F)
As a leading auto manufacturer, Mazda is interested in designing and offering products that differentiate itself from other carmakers and that also enhance its “Zoom-Zoom” philosophy. By utilizing the creativity of young engineers, Mazda hopes to develop unique car accessories that engage existing customers, attract new customers, and ultimately build a relationship between customers and Mazda. The Mazda Clinic team researched the accessories market, explored the design space, and developed two unique product concepts in support of this goal.
Portland General Electric
Thermodynamic Analysis of the Lowest Carbon Footprint Heating and Cooling System
Liaison: Conrad Eustis P06
Advisors: Nancy Lape, Adam Johnson
Students: Jake Dittes (TL-S), Sachit Sood (TL-F), Kelly Nguyen, Kevin Lau, Benjamin Chasnov (S), Jacob Higle-Ralbovsky (F)
Portland General Electric, a utility company serving over 800,000 customers in Oregon, has developed an advanced conceptual design for residential heating and cooling. The design aims to reduce peak energy usage and carbon emissions via thermal energy storage. This project focuses on the modeling and optimization of this conceptual design and comparing its performance to current standard Heating, Ventilation and Air Conditioning (HVAC) designs.
Algorithm and Tool for Manufacturing Data Analysis
Liaisons: Amanda Rainer ’06, Andrew Jones
Advisor: Kash Gokli
Students: Yukun Lin (TL-S), Tristan Fitch (TL-F), Christopher Apple, Da Eun Shim (S), Akhil Bagaria (S), Stephen Schein (F)
The Project Gestalt clinic team was tasked to develop a set of algorithms and tools to help characterize manufacturing data. By putting these algorithms in an easy-to-use software, the company’s design engineers will be able to investigate problems in the manufacturing flow and determine the steps necessary to improve the process.
Proteus Digital Health
On-Torso Physiologic Sensing Utilizing Optical Techniques
Liaison: Lawrence Arne
Advisor: Gordon Krauss
Students: Brittany Borg (TL-S), Travis Beckman, Demetri Monovoukas (TL-F), Matias Farfan (S), Jessica Szejer (S)
The 2014-2015 Proteus Digital Health Clinic team added functionality to an existing wearable device by using optical detection techniques to measure biological signals from the torso. Through the use of photoplethysmography and electrocardiography, the team targeted metrics such as heart rate, blood oxygen saturation, blood pressure, and hydration. The team conducted testing to identify optimal wear locations and wavelengths of light for detecting these metrics. Algorithms were constructed to characterize the data and provide useful information for patients and caregivers.
Rocketry Organization of California
Multi-channel Wireless Launch System
Liaison: Gregory Lyzenga
Advisor: R. Erik Spjut
Students: Jessica Chen (TL-S),
Christopher Hirlinger (TL-F), Pichaya Lertvilai, Jonathan Perez, Aaron Rosen (S), In Sung Song (S)
The Rocketry Organization of California (ROC) is sponsoring the HMC ROC clinic team to design, build, and test a multi-channel, wireless launch-control system. This new system should facilitate the setup and cleanup of each launch by eliminating the long cables used in the current system. Additionally, it will provide flexibility in the layout and positioning of launch pads at launches requiring more separation for larger and more complex rockets.
Recoverable Ethernet Flight Data Recorder
Liaisons: Casey Schilling ’08, William Ferenc ’13, Steven Schmitz, Matthew Sunderland, Kendall Correll
Advisor: Albert Dato
Students: Graham Gordon (TL-S), Gourav Khadge (TL-F), Robert Gambee, Eric Kiss (F), Kristina Ming, Kaitlin Kimberling(S)
The Clinic Project is to design, build, test, and qualify a recoverable Ethernet flight data recorder, a “better black box,” that can be used on SpaceX rockets. The recorder must log data in high vibration environments and survive the extreme conditions of rocket ascent, stage separation, and possible vehicle failure. It must also be easily recoverable in the event of catastrophic vehicle failure in the ocean or high altitude.
Liaisons: Jack Connor, Brian Bosak
Advisor: Philip Cha
Students: Jonpaul Littleton (TL-S), Christopher Sugino (TL-F), Yeahmoon Hong, Christopher Miro, Kaitlin Hansen (S)
The SpaceX Vibration Isolation Clinic Team designed, built, and tested a one degree-of-freedom semi-actively controlled vibration isolation system, capable of being expanded to a six degree-of- freedom system. This system uses a magnetorheological damper, is scalable to a wide range of isolated masses, and is able to reduce vibration at the system’s natural frequencies to achieve a desired frequency response function. The system has the potential to be a light, inexpensive, and robust vibration isolation system.
Optical Networks for Controlling Quantum Communication Systems
Liaisons: Dr. Thaddeus Ladd ’98, Dr. Danny Kim, Dr. Matthew Rakher, Dr. Nathan Jones
Advisors: Theresa Lynn, Qimin Yang
Students: Alexander Kendrick (TL-S), Luke St. Marie (TL-F), Paul Jerger, Fernando Ortega (POM), Kunal Menda (S), Nithya Menon (F)
One challenge in developing quantum communication technology is the rapid decoherence of stored quantum information. When information is stored in the state of a quantum dot, nanosecond- to microsecond-scale sequences of ultrafast laser pulses can theoretically preserve the state long enough for practical use. The objective of this project is to design, model, and evaluate optical networks to create these precisely timed pulse sequences. Using custom modeling tools, the team designed and simulated a network that should significantly reduce quantum-dot decoherence.
Integrated Dynamic Electron Solutions, Inc.
Alignment of Laser and Electron Beams in a Tunneling Microscope
Liaison: Bryan Reed ’92
Advisors: Peter Saeta, Ruye Wang
Students: Allison Mis (TL-S), Jackie Ong (TL-F), Tasha Arvanitis, Paul Jolly (S), Kirk Lau (S), Ashuka Xue (F), Jessica Iwamoto (F)
Dynamic transmission electron microscopes require precise alignment of laser and electron beams, but currently this process is extremely difficult. The Integrated Dynamic Electron Solutions (IDES) clinic team has developed an alignment system to make overlapping the beams simple and efficient. The team pursued two design alternatives: one that uses a phosphorescent material imaged through a borescope, and one that uses an image sensor to directly image the two beams.
Creating a Low-Cost Turbidity-Sensitive Solution for Solar Disinfection of Drinking Water
Liaison: Dr. Charlie Matlack ’04
Advisors: Patrick Little, Susan Martonosi
Students: Ryan Seldon (TL-S), Cleo Stannard (TL-F), Sagar Batchu, Priya Donti
The PotaVida, Inc. Global Clinic team was tasked with designing a low-cost, point-of-use technical solution that determines the time required to perform solar disinfection on a volume of water as a function of turbidity and UV intensity. This solution can be used to unambiguously indicate whether the water is too turbid for disinfection and, if not, the length of time needed for disinfection. The team’s solution is globally informed through field testing in Uganda.
Environmental Data Resources (EDR)
Environmental Cleanup Cost Modeling
Liaisons: Richard White, Pat Coyne
Advisor: Talithia Williams
Students: Crystal Hsu (PM), Michael Baeder, Kyle Shan, Congjie Shi
The team is developing a tool to estimate the cleanup cost for managing environmental risks, on a commercial real estate property. Users of the tool would input the location of a property, and based on the sites historic use as and proximity to gas stations and dry cleaners, as well, as regional considerations, receive as output a range for the potential cost.
Scalable Distributed Encrypted Search
Liaisons: Anand Somani, Amir Harush
Advisor: Andrew Bernoff
Students: Nathan Hall (PM), Nicole Wein, Teo Asinari, Xiuyuan Lu
As cloud storage becomes more prevalent, greater demands for security and accessibility are placed on searchable databases. The goal of our project is to develop a scalable, efficient strategy for searching distributed, encrypted databases. Popular existing approaches were not designed with encryption in mind, leading to prohibitive overhead. We provide a proof of concept (via a well-documented API) of a sublinear encrypted search architecture by implementing and benchmarking our solution.