News

We list some sample student projects below:

• Machine Learning for Thermal Conductivity Prediction in Materials Screening: This project aims to develop a high-performance machine learning model to predict the thermal conductivity (κ) of crystalline materials, enabling efficient screening of promising candidates from large materials databases. (Report)

• Foundational Learning and Preparatory Work for Machine Learning on Materials Informatics: This service-learning project focused on gaining foundational experience in machine learning applications within the field of materials informatics. (Report)

• Capstone Expo: Students serve as student ambassadors at the IIT Capstone Expo, an event where senior students present their capstone projects to faculty, industry sponsors, and peers. The role was to support the smooth execution of the presentations and help create a positive experience for both presenters and attendees.  (Report 1, Report 2)

• Peer Coding Support:  This project involved helping a fellow Benedict College students learn basic coding skills to improve their class performance. (Report)

• Helping Students With Computer Engineering & Technology Tasks: This project helps students on campus with different technology needs, such as homework setups, installing software, understanding basic coding ideas, and troubleshooting their laptops. (Report)

• Assembly Language Tutorial Support for Beginners: This project helps introductory CS students understand Assembly Language through creating simple learning materials, answering questions, and guiding them through labs that involve registers, memory, and basic instructions. (Report)

• Computational Research on Future Energy Technology: Literature survey on how computational technologies are used for future energy technology, and identify the potential research opportunity on future energy technology. (Report)

• Windspeed Project: This project contains the steps and procedures along with the time and dates that were taken to develop a flowgorithm and python program to develop a program to calculate the wind chill factor based on wind speed, and temperature. (Report)

• NumPy Tutorial: Explore Python library NumPy, and learn how to use it. (Report)

• Comar Abrams, Josue Sosa, "Defect Detection with Guided Lamb Waves Using Machine Learning", 2025 Benedict College Summer Undergraduate Research Institution. July 17, 2025. (Poster presentation)

• Josue Sosa, Tajay Jackson. "RASA Framework Based ​ Chatbot Design FOR C++ Tutoring". 2024 Benedict College Summer Undergraduate Research Institution. July 11, 2024 (Oral Presentation) (LearnBot Project Site, Presentation 6/21, Presentation 7/11)

• Tajay Jackson. "Logistic Regression Model for Credit Card Fraud Detection". 2023 Benedict College Summer Undergraduate Research Institution. July 13, 2023. (Poster presentation 1st place).

• Bariat Shuaib.  "Water Quality Prediction Using Machine Learning". 2023 Benedict College Summer Undergraduate Research Institution. July 13, 2023 (Oral Presentation) 

• Dr. Qi Zhang, Dr. Junsoo Lee, Dr. Brittany Morrone, Ms. Katrina Pitts, Dr. Adrien Ratsimbaharison, Dr. Bharat Rawal, Dr. Andrew Sabalowsky, Dr. Cornell Sneed, Dr. Biplav Srivastava. Dr. James E. Watson, Dr. Scott Decker. BC-UofSC exploreCSR: Collaborative Program to Promote Undergraduate Computing Research

• Dr. Qiang Zeng, Dr. Lannan Luo. Collaborative Cybersecurity Lab

• Dr. Qian Wang.