Fish Schooling Modeling Reduction
The goal of the proposed research is to gain a more in-depth understanding of motion coordination involved in fish schooling behavior and the resulting unsteady flow fields. The insights gained from this understanding will derive from novel reinforcement learning (RL) environments which are embedded with reduced order models (ROM) of swimmers. The ROM will be defined via an unsteady potential flow boundary element method (BEM), a computational tool that still has
applications in scientific discovery and design. The use of the low-order BEM allows for accurate embedding of physics and will detail pipelines on how to incorporate more complex physics into future models. The use of multi-agent reinforcement learning (MARL) would be computationally limited to small school sizes (on the order of tens), but incorporation of a ROM will make the swimmers computationally equivalent to a single particle thereby greatly reducing computational costs during the optimization process.
Requirements: MATH 220, CMPSC132
Duration: Fall 2023 and Spring 2024
Faculty: Nate Wagenhoffer [email protected]
Audio Enhancement with Artificial Intelligence
The objective of this project is to use a spectrogram to train neural networks to discern wave forms of undesirable sounds. This AI model will then be used to recognize these undesirable wave forms in an audio file and have them removed without compromising the integrity of the audio content.
Requirements: Should have good programming knowledge in Python, the student should have taken CMPSC 441 or 445.
Duration: Fall 2023 and Spring 2024
Faculty: Vinayak Elangovan [email protected]
Multiple - all related to human gait biomechanics (prosthetics, exoskeletons, computer modeling and simulation, gait analysis)
- Material testing and enhancing strength of lower extremity 3D printed prosthetic sockets
- Computer simulation of human walking using high fidelity neuromusculoskeletal models
- Validation of an inverse dynamic model using Visual3D to match existing commercial model in a state of the art hospital based gait and motion analysis laboratory
- Evaluation of OpenCap - an open source platform to perform 3D motion capture using the iPhone
Requirements: Depends on project. All require strong independent thinking and learning, self-motivation, strong attention to detail. Some require use of computer software and/or coding (Python, XML scripting, etc.).
Duration: Fall 2023 and Spring 2024
Faculty: Mukul Talaty [email protected]
Underwater Object Detection using a Sonar Sensor and Deep Learning (AI)
The purpose of the research project is to apply deep learning (AI) techniques to detect and identify important artifacts (shipwrecks, partially buried man-made structures, pipes, animal life etc.) in side-scan sonar data collected by an underwater robot. Deep learning is a subset of machine learning and artificial intelligence. Deep learning uses a convoluted neural network (CNN) to identify patterns and objects in images (as well as other data, such sound and text). Deep learning has proven very successful in such application areas as tumor detection in x-ray images and CT scans, natural language detection, and face recognition.
Requirements: Advanced programming skills in Python or MATLAB, knowledge of computer vision and AI (preferred), GPA 3.0 or above
Duration: Fall 2023 and Spring 2024
Faculty: Robert Avanzato [email protected]
What is Justice?
One of famous Youtube lectures is Justice by Michael Sandel. This project is to build up a justice AI engine in the perspective of his Youtube lectures. The main purpose of this project is not to simply build up an inference engine. Rather, it will be used for evaluating both political parties from the consistent point of view. Ultimately, the legitimacy of this engine will be evaluated from the common sense and the law if time allows.
Requirements: Experience in Tensorflow or pytorch, Experience in data preprocessing, Experience in text manipulation, self-motivated person
Duration: Spring 2024, Fall 2024, Spring 2025 (no requirement to present in fair in Apr 2024)
Faculty: Janghoon Yang ([email protected])
Researching Quantum-Safe Security Keys
We will be researching the usage, integration, impact, and strength of Quantum-Safe security key authentication.
Requirements: Cybersecurity 2, 3, 4 year student
Duration: Fall 2023 and Spring 2024
Faculty: Joseph Oakes ([email protected])
Life Cycle Assessment of Aircraft
We can move around and travel long places quickly with the aid of airplanes. However, due to the release of carbon dioxide, nitrogen oxides, water vapor, particles, and contrails, air traffic also makes a small but significant contribution to human climate change, around 5% in terms of temperature change. Therefore, it is significant for us to investigate the effect of contrails on climate. In this project, we will investigate the lifecycle assessment of different types of jet engines through SOLIDWORK Sustainability simulation.
Requirements: Student needs to intend to major in aerospace engineering and know how to use SOLIDWORK.
Duration: Fall 2023, Spring 2024
Faculty: Burcu Ozden ([email protected])
Using Augmented Reality to Build Virtual Warehouses
We will develop virtual warehouses using augmented reality on iPhone and Android phones. These virtual warehouses can be used to test innovative warehouse layouts before building them physically. Students will learn about Augmented Reality and JavaScript which are important for many employers these days. Also, students will gain experience in academic writing as well as warehouse design if they want to stay in academia. We already have a working prototype and students will be enhancing this working prototype.
Requirements: Successful completion of IST 240 or IST 242 or CMPSC 221, GPA 3.0 or above.
Duration: Fall 2023, Spring 2024
Faculty: Sabahattin Ozden ([email protected])
What does "pH Balanced" really mean for your skin and hair?
This project will involve researching the chemical make-up of different products to understand what influences their natural pH balance. The effect on different skin types (i.e. normal, sensitive, oily, etc.) will be studied, with the goal of being able to inform both students and faculty about what they should look for in skincare and hair care products.
Requirements: Completion of Chem 110 (Chem 112 and Chem 210 completion preferred)
The project is filled and not taking any more students in fall 2023.
Duration: Fall 2023, Spring 2024
Faculty: Christine Krewson ([email protected])
Investigation of a potential error in a chemistry lab
Experiment 5 from CHEM 113 is designed for students to determine the formulas of complex ions using spectrometry combined with the method of continuous variation. One of the complex ions considered in the experiment has iron (II) as the metal ion (M), and C12H8N2 (orthophenanthroline) as the ligands (L). The formula typically determined by students is ML2, which is incorrect. The correct formula should be ML3. We will investigate the potential causes of the mistaken outcome in this project.
Requirements: Successful completion of CHEM 112, B or better in CHEM 113, GPA 3.0 or above.
Duration: Fall 2023, Spring 2024
Faculty: Yibai Chen ([email protected])
Pulsar Studies with Radio Astronomy
Pulsars are the remnants of exploding giant stars. Because pulsars rotate rapidly they produce a periodic signals (pulses) that can be detected with large radio telescopes. In our projects, we use a 20-meter diameter radio telescope at the Green Bank Observatory in West Virginia to detect pulsars. Our research projects support three goals: searching for undiscovered pulsars, studying the properties of pulsars, and using collections of pulsars as a galaxy-size gravitational wave detector.
Requirements: Successful completion of courses in Algebra and Trigonometry. Experience with EXCEL and some background in introductory physics is preferred. Advanced projects are aided by an introductory knowledge of python.
Duration: Fall 2023 and Spring 2024
Faculty: Ann Schmiedekamp ([email protected])
Astronomical signal detection with a small radio telescope
We are constructing small, portable radio telescopes. The project involves detecting radio signals and trying to characterize their source. We first must distinguish astronomical signals from signals created by technology and other Earthly sources and then identifying the astronomical source.
Requirements: Students should be comfortable applying algebra and trigonometry.
Duration: Fall 2023 and Spring 2024
Faculty: Carl Schmiedekamp ([email protected])
Combining Networking and Machine Learning in the Internet of Intelligence.
In this project, we will take an interdisciplinary approach to investigate the interplaying between machine learning technologies and future networking systems (e.g., 5G/6G networks) for enabling the Internet of Intelligence. We will study how high-performance networking may facilitate machine learning as well as how machine learning techniques may be applied to achieve autonomous and intelligent network control and management.
Requirements: major in IST or CMPSC, GPA 3.0 or above, have taken IST 220 or CMPSC 335, self-motivated and self-disciplined, and knowledge about machine learning is preferable.
Duration: Spring 2022, Fall 2023, Spring 2024 (no requirement to present in fair in Apr 2023
Faculty: Qiang Duan ([email protected])
