Dehghanzadeh, Peyman
Peyman Dehghanzadeh
Assistant Professor | College of Engineering and Science: Department of Electrical Engineering and Computer Science
Contact Information
Expertise
Personal Overview
Peyman Dehghanzadeh’s research focuses on analog integrated circuit (IC) and radio-frequency integrated circuit (RFIC) design, with emphasis on developing high-performance, energy-efficient, and secure circuit and system solutions. His work spans low-power and wideband analog front-end design, advanced RF architectures for wireless communication, sensing, and biomedical applications, as well as emerging areas such as compute-in-memory architectures and hardware security.
Before joining the Â鶹´«Ã½Ó³» as an Assistant Professor in the Department of Electrical and Computer Engineering, Dr. Dehghanzadeh earned his Ph.D. in Electrical Engineering from the University of Florida, where he later continued as a Postdoctoral Researcher with the Nelms Institute for the Connected World. He also brings industry experience from his role as an Analog IC Design Intern at Texas Instruments, where he developed a BCI-tolerant transmitter for noisy environments to improve robustness and performance under challenging conditions.
Educational Background
- Postdoctoral Researcher in Electrical and Computer Engineering, University of Florida, Gainesville, FL, 2025.
- Ph.D. in Electrical and Computer Engineering, University of Florida, Gainesville, FL, 2024.
Current Courses
ECE3541: Digital State Machines
ECE2112: Circuit Theory 2
Selected Publications
US Patents:
- Multi-bit memory-based physically unclonable function - US Patent App. US20260039485A1,
- Look-up table-based in-memory computing system - US Patent App. 18/769,985,
- Systems and methods for interfacing natural intelligence with artificial intelligence - US Patent App. 18/916,901,
- Apparatus, systems and methods for programmable logic macros - US Patent App. 18/408,267,
- Systems and methods for providing distributed batteries in integrated circuits - US Patent App. 18/537,160,
Selected Publications:
- DF-PUF: A Dual-Function Programmable Entropy Source for Secure Authentication and Memory Reuse, IEEE Transactions on Circuits and Systems I,
- LUNA-CIM: A Programmable Compute-in-Memory Fabric for Neural Network Acceleration, IEEE Transactions on Computers
- Look-Up Table based Energy-Efficient Architecture for Neural Accelerators, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
- MBM PUF: A Multi-Bit Memory-Based Physical Unclonable Function, IEEE Transactions on Circuits and Systems I: Regular Papers,
- Fusion Intelligence: A Paradigm for Merging Natural and Artificial Intelligence, IEEE Internet of Things Journal,
- A multiport self-interference canceller for wideband SIMO/MIMO-STAR full-duplex arrays, IEEE Transactions on Microwave Theory and Techniques,
- On-chip batteries as distributed energy sources in heterogeneous 2.5 D/3D integrated circuits, IEEE Access,
- Contact-less integrity verification of microelectronics using near-field EM analysis, IEEE Access,
- Non-invasive authentication of mail packages using nuclear quadrupole resonance spectroscopy, Nature, Scientific Reports 13 (1),
Conference Papers:
- PROM: Protection against Reverse Engineering Attacks through Programmable Logic Macros International Symposium on Field Programmable Gate Arrays
- Pasteables: A Secure On-Body Health Monitoring Platform, IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)
- Digitally programmable CMOS feedback for network of coupled electromechanical oscillators, IEEE International Symposium on Circuits and Systems,
Research
- Hardware Security: Developing robust techniques to protect integrated circuits against side-channel attacks and reverse engineering.
- High-Speed, Low-Power ANN Accelerators: Designing efficient hardware accelerators for artificial neural networks to optimize performance and energy consumption in AI applications.
- Compute-in-Memory (CIM): Exploring in-memory computing architectures, to enhance computational efficiency and scalability.
- Analog Front-End Design: Creating high-performance analog and mixed-signal front-end circuits for RF and communication systems, prioritizing low power and high precision.