Research

REU Site on Hardware Security 

REU

PI: Hao Zheng, Co-PI: Mehran Kermani 

 

Program Description

The SEES Lab at the University of South °®¶¹´«Ã½ (°®¶¹´«Ã½) will host a 10-week summer Research Experience for Undergraduates (REU) site program on Hardware Security, supported by the National Science Foundation (NSF). The program is designed to train the next generation of researchers in the critical area of hardware security and assurance, addressing the urgent need for a skilled workforce to secure the hardware foundations of modern computing, the Internet of Things (IoT), and cyber-physical systems. Unlike software- and network-focused security programs, this REU site emphasizes low-level hardware vulnerabilities such as hardware Trojans, intellectual property protection, cryptographic engineering, and secure architectures. Participants will receive mentorship from °®¶¹´«Ã½ faculty with diverse expertise in computer science and engineering, and gain hands-on experience with pressing security challenges in integrated circuits, FPGAs, VLSI design, and embedded systems. °®¶¹´«Ã½ will also have opportunities to present their research at a university-wide REU symposium and potentially at technical conferences. 

The program goes beyond research by incorporating social events and field trips that foster collaboration and create an enriching summer experience. These activities encourage informal interactions among students and faculty while building lasting professional networks. On free weekends, students can enjoy nearby attractions, including botanical gardens, local restaurants, and the °®¶¹´«Ã½ Riverfront Park, which offers canoeing, sports, and picnic facilities. 

Some example projects are listed below. 

  • Hardware Trojan Detection using Reinforcement Learning – developing AI-driven methods to detect malicious circuitry hidden in third-party IP blocks. 
  • Signal Randomization for Hardware Trojan Defense – exploring novel obfuscation techniques like RECORD to prevent Trojan activation. 
  • Elliptic-Curve Cryptography and Side-Channel Attacks – implementing secure cryptographic algorithms on FPGAs/ASICs and evaluating their resistance to advanced attacks. 
  • Security for Implantable and Wearable Medical Devices – studying vulnerabilities in closed-loop physiological control systems and developing ML-based countermeasures. 
  • Hardware Primitives for IP Protection – designing polymorphic gates using emerging technologies to safeguard semiconductor intellectual property. 
  • AI-Enabled IoT Security – applying lightweight ML models to detect and defend against security attacks on constrained IoT edge devices. 
  • Performance-Security Tradeoffs in Trusted Execution Environment -- Develop benchmark suites and ML-driven methodologies that evaluate performance and security tradeoffs in trusted execution environments like Arm TrustZone. 
  • Explainable ML Models for Secure HW/SW Co-Design: Build tools that visualize and explain performance-security tradeoffs across hardware and software layers.

Faculty Mentors

Sample

Hao Zheng
Associate Professor

Hao Zheng is an Associate Professor of the Bellini College of AI, Cybersecurity and Computing. His research focuses on hardware/software testing and verification, hardware security, electronic design automation, computer architecture.

Visit this link for more information about Dr. Zheng’s profile. 

   Mehran Kermani

Mehran Kermani
Associate Professor

Mehran Kermani is an Associate Professor of the Bellini College of AI, Cybersecurity and Computing. His research interests include Fault diagnosis and tolerance in cryptography, cryptographic engineering, computer arithmetic. 

Visit this link for more information Dr. Kermani’s about profile. 

Robert Karam

Robert Karam
Associate Professor

Dr. Karam is an associate professor in the Bellini College of  AI, Cybersecurity and Computing.  His research interests include energy-efficient and secure hardware design, including low-power design for on-chip AI/ML and signal processing with a focus on IoT and healthcare applications.

Visit this link for more information about Dr. Karam’s profile. 

Dayane Reis

Dayane Reis
Assistant Professor

Dr. Dayane Reis is an Assistant Professor of the Bellini College of AI, Cybersecurity and Computing. Her research focuses on VLSI design and nanoelectronics that take advantage of the unique characteristics of emerging devices. The goal is to improve the security, energy efficiency, and performance.

Visit this link for more information about Dr. Reis' profile

Santosh Pandey

Santosh Pandey
Assistant Professor

Santosh Pandey is an Assistant Professor of the Bellini College of AI, Cybersecurity and Computing. His research explores how AI models can accelerate the evaluation and optimization of computing systems, allowing researchers and developers to efficiently design next-generation hardware and software stacks.

Visitthis link for more information about Dr. Pandey’s profile. 

Kevin Kwiat

Kevin Kwiat

Dr. Kevin Kwiat is a Guest Professor of the Bellini College of AI, Cybersecurity and Computing. He is currently addressing in-situ hardware Trojan problems. His research bridges the gap between detection (which is only as good as our understanding of the adversary) and denial (the implanted Trojan may function if present but is rendered ineffectual).

Visit this  for more information about Dr. Kevin Kwiat’s profile.

Benefits

Participants will receive:

  • $7,000 stipend for the 10-week program 
  • Housing and meal support on the °®¶¹´«Ã½ Tampa campus
  • Travel assistance to and from °®¶¹´«Ã½
  • Access to world-class computing labs, recreational facilities, and professional development resources.

Eligibility

  • Open to undergraduate students in computer science, computer engineering, electrical engineering, or related disciplines.
  • Applicants must be U.S. citizens or permanent residents.

Application

In each year, recruitment begins in January, with an application deadline of March 1. Accepted students will be notified by mid-March. Applicants must submit: 

  1. An application form online 
  2. Current resume and transcript 
  3. One-page statement of interest describing career goals and fit with the REU program 
  4. Two letters of recommendation