University of Vermont

CEMS Research Experience for Undergraduates -- CEMS-REU

CEMS is creating a research experience for undergraduates (REU) to promote opportunities for students to engage in research projects (CEMS-REU). This program will provide stipends intended to incentivize undergraduate engagement in research. This new program will fund up to 100 opportunities for one semester REU’s during the academic year 2016-2017. The most important quality you will bring to this position is your eagerness to learn. Our faculty do research in a variety of areas. Reach out to them to learn more about their research and any REU opportunities they might have.

Who is eligible

Any CEMS undergraduate student is eligible for this research program, including students already earning credit for Undergraduate Research or an Honors Thesis. Note that you must be working with a CEMS faculty mentor as part of your research (see "How to apply" below).

How to apply

Students are required to have identified a CEMS faculty member who has agreed to be their research mentor. The faculty mentor's home department can be the same or different from the department of the student's major. Applications will be reviewed by the home department of the faculty mentor. To apply, send an email to the appropriate contact shown below, for the department of your proposed faculty mentor, and please cc your faculty mentor. The subject line should be "CEMS-REU APPLICATION". Include in the e-mail your name, a brief description of the project you are proposing to work on, and the faculty member you are proposing to work with. Individual departments may later request additional material for evaluation.

Fall 2017 REU Participants

DeptLast NameFirst NameFacultyProject
CSFelagJackBongardAssist Dr. Bongard's postdoctural associate, Zahra Mahoor, on their "Twitch Plays Robotics" (TPR) project. TPR is a website through which human non-experts can collectively train robots to perform a variety of increasingly challenging tasks. Jack already worked on this project with Zahra over the summer so will be continuing this effort. Zahra is primarily responsible for developing the robotics back-end, while Jack will focus on the web front end.
CSFrederickSamuelEricksonWebsite Development CS Fair. Responsibilites for this undergraduate student will be to conduct usability students on the current website, specifically the two forms (sponsors and registration) as part of the redesign for these forms. Originally the forms were built by several students and thought they are working there are few glitches we would like to clean up. This project will be a great opportunity for this student to apply existing knowledge as well as branch out into new areas of Software Development and User Experience.
CSKoudsiRamySkalkaStudying security innovations for medical records software. In previous work, Dr. Skalka's team has shown that popular web-based systems for managing patient health data may be susceptible to online attacks - the goal is to develop technologies that will defend against them. The student will add to existing medical records software new analyses that will track the flow of data through programs, and detect whether potentially corrupted information can affect sensitive patient data.
CSNilandMichelleEppstein/RizzoHuman coding of audio tapes for training Machine Learning. Assessing the quality of medical caregiver communication is a time-sensitive endeavor and may infringe on patient privacy. To address these issues, we are conducting research into automated assessment of quality of conversations using machine learning. Our initial focus is on identifying "connectional silences" (pauses in the conversation that facilitate interpersonal connections, comprehension, and absorption of information) in audio recordings of difficult palliative care consultations with terminally-ill cancer patients, made in real-world noisy hospital environments. To aid in validation of the machine learning algorithms, these students will listen to recorded conversations and manually annotate oral conversations between caregivers and patients. This position may also entail writing short Matlab programs that enable the student the accurately indicate the locations of specific features (e.g., periods of non-speech) in the conversation, while simultaneously listening to and observing the visual audiogram of the conversation.
CSO'TooleLiamWshahWebsite Development to Showcase a Faculty's Machine Learning Research. In this project, the student will be asked to design and develop a creative research website that shows Dr. Wshah's recent research interests and achievements. The student will be asked to research and create a high-quality website to increase Dr. Wshah's visibility and accessibility of his research and teaching activities. As a new Assistant Professor, this will help Dr. Wshah to attract strong graduate students and showcase his work, will showcase his research engagement with other researchers in CEMS and other UVM colleges and departments, and will increase the efficiency and effectiveness of his teaching.
CSRossLindsayEppstein/RizzoHuman coding of audio tapes for training Machine Learning. Assessing the quality of medical caregiver communication is a time-sensitive endeavor and may infringe on patient privacy. To address these issues, we are conducting research into automated assessment of quality of conversations using machine learning. Our initial focus is on identifying "connectional silences" (pauses in the conversation that facilitate interpersonal connections, comprehension, and absorption of information) in audio recordings of difficult palliative care consultations with terminally-ill cancer patients, made in real-world noisy hospital environments. To aid in validation of the machine learning algorithms, these students will listen to recorded conversations and manually annotate oral conversations between caregivers and patients. This position may also entail writing short Matlab programs that enable the student the accurately indicate the locations of specific features (e.g., periods of non-speech) in the conversation, while simultaneously listening to and observing the visual audiogram of the conversation.
CSRyanAidenEppstein/RizzoHuman coding of audio tapes for training Machine Learning. Assessing the quality of medical caregiver communication is a time-sensitive endeavor and may infringe on patient privacy. To address these issues, we are conducting research into automated assessment of quality of conversations using machine learning. Our initial focus is on identifying "connectional silences" (pauses in the conversation that facilitate interpersonal connections, comprehension, and absorption of information) in audio recordings of difficult palliative care consultations with terminally-ill cancer patients, made in real-world noisy hospital environments. To aid in validation of the machine learning algorithms, these students will listen to recorded conversations and manually annotate oral conversations between caregivers and patients. This position may also entail writing short Matlab programs that enable the student the accurately indicate the locations of specific features (e.g., periods of non-speech) in the conversation, while simultaneously listening to and observing the visual audiogram of the conversation.
CSStuntzLindseySkalkaIn this project, the student will explore new technologies for improving security in modern networks, including networks that underly the Internet. In particular, the student will explore techniques for automatically guaranteeing that network routing configurations adhere to stated policy, and that any changes to configurations are properly authorized. A secondary goal of this projecy is to synergize UVM research with the student's internship work at Amazon Web Services.
EEBerneSophiaHinesMechGrid.
EECriscitielloMargotOughstunDispersive Acoustic Pulse Progagation.
EEHallKatlynFiorentinoSkeletal Muscle Function after ACL Rupture and Repair.
EEHartJonathanAlmassalkhiElectric vehicles: what are their types, energy profiles and how does energy consumption vary for different users.
EEHojnowskiSam HinesMechGrid.
EELarieDaleFrolikA human factors engineering study of computer-based surgical simulation.
EEMallabarCassieAlmassalkhiElectric water heaters: what are their types, energy profiles and how does energy and water consumption vary for different users.
EEMcElhinneyOwenAlmassalkhiResidential air conditioning/HVAC: what are their types, energy profiles and how does energy consumption vary for different users (household, season, hourly, etc.).
EEVermillionBrandtFrolikA wireless testbed for demonstrating the efficacy of tripolar antenna systems in mesh networks.
BMEClarkJaradOldinskiRheological Characterization of Alginate-Based Biomaterials.
BMECunninghamKikiOldinskiBiofunctionalization of Hydrogels for Tissue Repair.
BMEErksonChrisMcGinnisGolf swing type recognition using cluster analysis of optical motion capture data.
BMEFerriJonMcGinnisWePanic, A Heartrate Biofeedback Application Designed to Alleviate Panic Attacks.
BMEMcConnellSierraOldinskiBio-functionalization of alginate materials for 3D-Printing.
BMEMeyerBrettMcGinnisUsing wearable sensor data and newal networks to predict ground reaction forces.
BMETannebergerAliciaOldinskiHydrogel Development for Controlled Stem Cell Differentiation.
CEEEisingerFrancesHolmenResearch about Nonpoint Source Particle Gneraltion and Transport. This subject of research focuses on "particulate matter emissions from agricultural and quarry courses."
CEEKeimelAnnalieseHolmenVehicle Emission Measurement and Control Technologies. Will be doing research on emission control technologies and comparing each technology found based upon the percent reduction it results in, which pollutants are reduced, and how this is achieved. Will also be researching emission measurement methods with the goal of assessing each method's precision, accuracy, and detection limits. This will include measurements completed within the lab as well as in the field. The ultimate goal is to order each measurement method found based upon temporal resolution. Will also be looking into PM emission regulations overtime in both United States and European Union.
CEEKirshenbaumHannaRizzoNetwork Analysis of Smart, Connected Cultural Resources Communities. Research will involve helping the five faculty on a newly awarded National Science Foundation planning grant designed to prepare engineers for the 21st century challenges of our aging infrastructure. My role in this project will be organizing the preliminary steps, such as planning workshops, gathering data, and learning about network analysis (for the smart analytics portion of the grant). The network refers to the engineering community and those responsible for preserving cultural resources and historic preservation in Vermont. Whereas, network analysis will help identify existing community network connections and the key features needed to enhance network functioning.
CEESchoedlerAlexWijesingheForm and Culture: The Art of Modern Civil Structures in Asia. The purpose of this REU position will be to assist Professor Wijesinghe's cultural diversity course development. Specific role will be identifying resources, topics and case studies for future lesson plans and assignments.
CEEVartanianNicholasRizzoInterpreting Environmental Data with Artificial Intelligence. Intend to help Dr. Rizzo's graduate students interpret environmental sensor data using Deep-Learning Al. Experience with MATLAB and Python and will use and expand on those skills during the research. Intend to assist to the best of his abilities while learning as much as he can about the data they're interpreting and artificial intelligence.