NSF REU Site: Research Experiences for Undergraduates in Hardware and Embedded Systems Security and Trust (RHEST)

REU Students (2023 Cohort)

• Andrew Kosikowski, Rose-Hulman Institute of Technology (IN), Class of 2024

• Trevor Leggard, University of Indianapolis (IN), Class of 2024

• Ryan Evans, University of Cincinnati, Class of 2024

• Ojas Kulkarni, University of Utah, Class of 2024

• Daniel (Jun) Cho, Hamilton College (NY), Class of 2025

• Evan Nimmo, University of Cincinnati, Class of 2025

• Guillermo Rached, University of Cincinnati, Class of 2025

• Lucian Pfister, Miami Uninversity (OH), Class of 2025

• Kaden Wince, Ohio Northern University, Class of 2025

• Harris Musungu, Ashland University (OH), Class of 2026

• Mabon Ninan (CEAS Research Co-op), University of Cincinnati, Class of 2024

• Nyla Willams (NSF REU Supplement), University of Cincinnati (Blue Ash), Class of 2027

RET Teacher

• Benjamin Dougherty, East/West Lakota High School, Cincinnati, OH

Awards (2023 Cohort)

• RHEST 2023 Best Research Presentation Award: Ojas Kulkarni (Mentor: Dr. Rashmi Jha, Project Title: Aging and Side-Channel EM Analysis)

• RHEST 2023 Best Research Poster Award: Ryan Evans (Mentor: Drs. Will Hawkins and Boyang Wang, Project Title: Function Boundary Detection in Stripped Binary Files)

Publications (2023 Cohort)

1. Ryan Evans, William Hawkins, Boyang Wang
   “RustBound: Function Boundary Detection over Rust Stripped Binaries”
   The 2nd EAI International Conference on Security and Privacy in Cyber-Physcal Systems and Smart Vehicles (SmartSP 2024), New Orleans, LA, Nov. 7-8, 2024.
   Code & Datasets, Paper PDF

2. Mabon Ninan, Evan Nimmo, Shane Reilly, Channing Smith, Wenhai Sun, Boyang Wang, John M. Emmert
   “A Second Look at the Portability of Deep Learning Side-Channel Attacks over EM Traces”
   The 27th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2024), Padua, Itay, Sep. 30 - Oct. 2, 2024
   Code & Datasets, Paper PDF

3. Prateek Kharangate, Guillermo Rached, Harris Musungu, Nan Niu, Boyang Wang
   “FaultArm: Detecting Fault Injection Vulnerabilities in Arm Assembly”
   IEEE Natonal Aerospace annd Electronics Conference (IEEE NAECON 2024), Dayton, OH, Jul. 15-18, 2024
   Code & Datasets, Paper PDF

4. Andrew Kosikowski, Daniel (Jun) Cho, Mabon Ninan, Anca Ralescu, Boyang Wang
   “EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files”
   22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023), Jacksonville, FL, December 15-17, 2023.
   Code & Datasets, Paper PDF

Pictures