Schedule of Events
ALLIES in STEM and McNair Scholars Research Showcase
Tuesday, April 26, 2022
12:30 pm - 1:30 pm
Lundring Events Center
Students from ALLIES in STEM and the McNair Scholars Program (approximately 30 students total) will have the opportunity to present their research in a poster session format.
Student Abstracts
Genetic Complementation Between Crybaby (Cby) and Lobe Mutations of Drosophila Melanogaster
Student(s):
Olivia Chee, Anthony Garay
Faculty Mentor:
David Marcey
Identification of Novel 4U RNA Thermometers in Klebsiella pneumoniae and Escherichia coli
Student(s):
Cordray Crabbe
Faculty Mentor:
Michael Abdelsayed
Evaluating Microbial Community Characteristics of Freshwater Sediments of Tidal River Corridors
Student(s):
Nallely Delara
Faculty Mentor:
Aditi Sengupta
Increasing the Penetrance and Expression of an Incompletely Penetrant Mutation in Drosophila Melanogaster
Student(s):
Anthony Garay, Dr. David Marcey, Olivia Chee
Faculty Mentor:
Dr. David Marcey
A Re-Screen for Inducible, Cryptic Epigenetic Variation in Natural Populations of Drosophila Melanogaster
Student(s):
Alexis Long
Faculty Mentor:
Dr. David Marcey
The Land of Limited Opportunity: The Challenges Latinx Entrepreneurs Confront in California
Student(s):
Anastasia Martinez
Faculty Mentor:
Dr. Gerhard Apfelthaler
A Quantitative Analysis of Synthetic Microfibers found in the Guts and Gills of the Pacific Squid (Loligo opalescens)
Student(s):
Edward Martinez, Alex Mazaheri
Faculty Mentor:
Dr. Andrea Huvard
Analyzing a time-series of Infrared Spectroscopy for the Magnetic Massive Star HD 23478
Student(s):
Zachary Murillo
Faculty Mentor:
Mary Oksala
Analysis of Microfibers Within the Secondary Consumers
Student(s):
Steven Ortez Hernandez, Ashley Rauda, Keury Ortez Hernandez
Faculty Mentor:
Andrea Huvard
Congressional Stock Tracker
Student(s):
Spenser Pira
Faculty Mentor:
Craig Reinhart
Microfibers of the Gut and Gills of Anchovy, Engraulis Mordax
Student(s):
Ashley Rauda, Steven Ortez Hernandez, Keury Ortez Hernandez
Faculty Mentor:
Andrea Huvard
Implementation of Maze Generating Algorithms and Basic AI Search Algorithms Using Java Data Structures
On a daily basis we navigate from one point to another without much difficulty. Even in a virtual setting like a game when provided with certain constraints ( difficult terrains, rivers, walls, etc ), we can navigate very efficiently from point A to B. However, for a computer traversing a given landscape, it requires specific directions to effectively do the same task which a human finds miniscule. In my research, I have worked and implemented the various algorithms that a computer uses to traverse a difficult terrain, or a maze in this case. A maze is an intricate, usually confusing network of interconnecting pathways. We can make a computer traverse the maze by either brute force or by making intelligent decisions. In the research, I used maze generating algorithm ( Depth First search) to first build the mazes and non-optimal path traversal algorithms (Depth First search and Breadth First search) and optimal/ Heuristic path traversal algorithms (Dijktra’s search and A* or Best First Search) to traverse the mazes.
Student(s):
Samar Salve
Faculty Mentor:
Dr. Craig Reinhart