Research Projects and Mentors:
| Faculty Mentor |
Project Information |
Dr. Michael Fraina
|
Project Description: Students will explore administrative issues in interscholastic and intercollegiate
athletics. They will participate in data collection and data analysis on an ongoing
project.
Ideally for: Students interested in the business aspect of sport. There are no specific prerequisites
for participation.
Delivery Method: Hybrid
|
Prof. Allie McGlone & Daniela Figueroa '23
|
Project Description: This interdisciplinary research project aims to delve into the multifaceted realm
of social issues within education, seeking to understand, analyze, and propose solutions
to pressing challenges. It offers a unique opportunity for individuals from various
academic backgrounds to collaborate and contribute their diverse perspectives to tackle
these issues comprehensively.
Ideally for: Ideal participants include those passionate about education-related matters, regardless
of their major, as well as individuals eager to gain valuable research experience
while addressing critical social concerns. This project welcomes anyone committed
to making a meaningful impact through scholarly inquiry and practical solutions in
the realm of education and social justice.
Delivery Method: In-Person
|
Dr. Kimberly Riegel
|
Project Description: 1.) Sonic booms around buildings still require significant further study for them
to be well understood. Previously a combined ray tracing/radiosity program was created
to simulate the behavior of sonic booms around structures. This summer we are investigating
additional ways to improve the accuracy of the code to model sonic booms around structures.
2.) Noise is a pervasive urban issue that affects cities all over the globe. Exposure
to noise has been linked to both psychological and health effects including sleep
disturbance, increase in cortisol levels, and psychological impacts. This project
has developed a mobile device application that allows a participant to take a sound
level measurement and provide some feedback about the perception of the noise as well
as provide some basic health information. This summer we will be analyzing the data
and improving collection practices. 3.) Designing the acoustics of recording spaces,
control rooms and mixing booths can be a complex balance between art and engineering.
This is particularly true in spaces that are used to record many different kinds of
music or in less-than-ideal spaces where permanent or drastic construction is not
an option. We have created a modular system of acoustic absorbers and diffusers that
could be easily created with minimal cost on a 3D printer This summer we will be developing
and improving the method to measure the panels acoustic properties.
Ideally for: I have no prerequisites for the research though, someone who feels comfortable with
at least algebra is preferred. The benefits of these projects is that they are interdisciplinary
so are good for a wide variety of interests but some interest in the field and a potential
interest in continuing on in research after the summer (if it goes well) would be
good.
Delivery Method: In-Person
|
Prof. Eugene Kwak
|
Project Description: The planned scholarly activity involves continuing the investigation of a multi-functional
urban micro-farm as a design and educational tool, building on prior research. This
study focuses on utilizing the campus giving garden to explore comprehensive design
principles for enhancing community gardens. By researching both low-tech and high-tech
solutions, including soil quality assessment, irrigation systems, AI, sensing technologies,
composting methods, automation, and Agrivoltaic systems, the project aims to contribute
to the fields of landscape architecture, agricultural engineering, and architectural
engineering. By bridging theoretical knowledge with practical application, this research
will provide valuable insights into maximizing functionality and promoting community
engagement in urban agricultural spaces. Additionally, the integration of advanced
technologies such as AI and renewable energy systems addresses contemporary challenges
in food production and resource management, contributing to broader societal goals
of environmental sustainability and community resilience.
Ideally for: This research is ideal for those interested in sustainability, architecture, constructions,
or horticulture
Delivery Method: Hybrid
|
Prof. Robert Mozer and Dr. John Gross
|
Project Description: This project will sample local freshwater water ponds for harmful algal bloom (HABs)
concentrations and conduct various outreach and educational presentations. Specifically,
students will learn: Water quality sampling techniques Instrumentation including pH
meters, conductivity meters, and dissolved oxygen meters Sample handling and logging
procedures Basic GIS skills including Survey123 and ArcGIS Online Soft skills including
oral communication skills, and the creation and presentation of various educational
materials surrounding HABs
Ideally for: This research does not assume prior knowledge of any particular subject matter. However,
we would prefer students with a background or interest in Biology, Ecology, or Chemistry.
This research involves a fair amount of travel to and from various sample locations,
so personal transportation would be required.
Delivery Method: In-Person
|
Dr. John Gross
|
Project Description: This project will have students help develop a manuscript for peer reviewed publication.
This manuscript will be a meta-analysis of existing literature regarding the use of
remote piloted vehicles (e.g. drones) for their applications in wetland ecosystem
remote sensing. Specifically, selected students will help: identify potential articles,
review those articles for their rigor and academic integrity, and incorporate relevant
articles into a database. Once the database has been created, the students will help:
analyze the dataset for potential trends, generate tables and figures, and help write
the manuscript.
Ideally for: This project does not assume any prior knowledge, however students with some background
in examining scientific literature would be preferred. Students will be manipulating
spreadsheets as well as creating tables and figures. I am willing to teach them how
to use R to manipulate data and make graphs (e.g. dplyr and ggplot2), but this is
by no means required.
Delivery Method: Hybrid
|
Imran Jan '22
|
Project Description: I am interested in understanding the regulatory role that DDX3 plays in osteosarcoma.
DDX3 is an RNA helicase that belongs to the DEAD/Box family of RNA helicases. DDX3
is involved in regulating many stages of RNA biology, but there’s an increased expression
of DDX3 is observed in osteosarcoma patient samples. The abnormal expression of DDX3
makes it an interesting protein to target and develop new therapies against it. My
project will focus on understanding the two novel proteins that DDX3 regulates that
are part of the interform stimulated gene family of proteins. These proteins are involved
in leading up to the process that will eliminate cancer cells through the innate system’s
effector functions. We will focus on assessing the regulatory role DDX3 has on these
proteins. Some techniques that we will be exploring are tissue culture, western blot,
PCR, rt-qPCR, molecular cloning, RNA-Seq, and other molecular biology techniques.
Ideally for: This research project is ideal for students who want to pursue a career in science,
specifically a Ph.D./Masters in biomedical sciences. However, this is open to everyone
who is interested in gaining research experience.
Delivery Method: In-Person
|
Dr. Christine Schlendorf
|
Project Description: Over the course of the summer, students will work on qualitative and quantitative
research. Students will analyze data involving college student usage of open access
resources on student learning outcomes and perceptions. Students will work with IBM
SPSS software to run various statistical tests. Students will also have the opportunity
to learn how to code open-ended and qualitative responses. Students will eventually
help to develop a manuscript for peer reviewed publication.
Ideally for: This research is open to any student who is interested in gaining research experience.
This is a two-year research project so ideally it is preferred that the student is
involved in the project/program for the summer of 2024 and 2025.
Delivery Method: Hybrid
|
Dr. Shohana Iffat
|
Project Description: Review and Application of Recycled Materials in Construction.
Ideally for: Active, and enthusiastic students, CIV/CON 402 is recommended but not a prerequisite,
able to lift approximately 10-15 kg of weight
Delivery Method: In-Person
| Date |
Topic |
| Intro. (by 31st May) |
Meet students, Work outline |
| Week 1 (June 3-7) |
Literature Review (individual topic) |
| Week 2 (June 10-14) |
Cont. working on Literature Review; Testing Material
properties (Gradation test, Specific gravity, Absorption) |
| Week 3 (June 17-21) |
Cont. working on Literature Review; Lab Testing:
Compression Test of plastic cylinder, Flexure Test of plastic beam, learn to use Concrete
mixer |
| Week 4 (June 24- 28) |
Prepare the lab for final tests, check all equipment, and
gather materials |
| Week 5 (July 1-3) |
Concrete Casting set 1 |
| Week 6 (July 8-10) |
Concrete Casting set 2 |
| Week 7 (by July 19) |
Work on a poster for SURI symposium (Group work) |
| Week 8 (by July 26) |
Literature review submission (Individual submission) |
| Week 9 (July 29-31) |
Testing set 1 |
| Week 10 (Aug 05-07) |
Testing set 2 |
| Aug 12 |
SURI symposium |
|
Dr. Tarik Eltaeib
|
Project Description: This study aims to develop models for predicting severe weather and climatic trends
using advanced AI methods. Students will analyze vast amounts of environmental data,
including temperature, precipitation, and pollution levels. This project will include
simulated model design using computer science and environmental science theory.
Ideally for: For this project, programming skills or software development experience isn't necessary
but very helpful. However, incorporating an application or coding aspect will be done.
Delivery Method: Online
|
Prof. Fatoma Rad
|
Project Description: This project aims to delve into the cultures of colleges and universities, focusing
on efforts within the State University of New York (SUNY) and City University of New
York (CUNY) systems to foster inclusivity and truly support students. Participants
will explore existing initiatives and projects aimed at improving student support
and will compare programs with practices at comparable institutions to identify what
is and isn’t being effectively implemented.
Ideally for: This project is suited for students who possess basic research skills or have a keen
interest in learning about the research process, with a particular emphasis on research
analysis, data collection, and data analysis. This initiative marks the beginning
of a continuous project, offering opportunities for future engagement. Candidates
should be interested in the fields of humanities, education, community building, and
inclusivity. While directions will be provided, students are expected to have the
capability to work both collaboratively and independently. Students from all academic
disciplines are encouraged to participate.
Delivery Method: Hybrid
|
Dr. Moaath Alrajab
|
Project Description:
About the project, the field of medicine is quickly adopting Image Processing, Machine
Vision, AI, and their impact on hematology and oncology is significant. However, many
healthcare professionals don't fully understand AI's capabilities and limitations
in this area.
This project aims to:
- Review existing research, we'll survey current literature on Image Processing and
AI in hematology and oncology.
- Use AI tools, using platforms like Matlab or OpenCV (Python-based), we'll conduct
experiments to gain practical experience with AI applications.
- Conceptual Framework Development, through research and experimentation, we'll establish
a framework for understanding AI's role in these medical fields.
We'll use publicly available datasets for our experiments, such as:
- The Cancer Genome Atlas (TCGA): https://www.genome.gov/Funded-Programs-Projects/Cancer-Genome-Atlas
- ProPublica's "Machine Bias" Project: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Ideally for: students with computer science background (good programming skills) and at least one
student with a background in health studies.
Delivery Method: Online
|
|