Jia Di Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Jia Di's research focuses on the design and implementation of advanced logic circuits and systems, with a particular emphasis on hardware security, asynchronous computing, and the integration of deep learning with signal processing.
Di's work has led to federal funding from the National Science Foundation (NSF) for two significant projects. One, totaling $2,000,000, aims to optimize datacenters through a whole-stack approach incorporating novel accounting, design, reuse, and heterogeneous provisioning of chiplets. The second NSF award, for $399,755, supports collaborative research into deep learning and signal processing using silicon photonics and digital CMOS circuits for ultra-wideband spectrum perception.
Publications from Di's research group address topics such as asynchronous polymorphic logic gates for hardware security, dummy data utilization for RFID authentication, and the extraction of semantic information from video for verifying IoT events. Further research includes the reconfigurable ASIC implementation of asynchronous recurrent neural networks, digital twins of ANPC inverters with integrated design-for-trust, and built-in self-test methodologies for asynchronous circuits. Di has a publication record of 157 items, with an h-index of 21 and 1,579 citations. Key collaborators at the University of Arkansas at Fayetteville include Cole Sherrill, Chad Workman, Kenneth Mordi, and Hunter Nauman.
Metrics
- h-index: 21
- Publications: 157
- Citations: 1,579
Selected Publications
- Analog-Digital Approximate DFT with Spatial ∆-Σ LNA Multi-beam RF Apertures (2025) DOI
- Synthesis and Timing Constraints for Reliable MTNCL Asynchronous Circuits (2025) DOI
- Innovations in MTNCL Gate Design: An Alternative MTCMOS Power-Gating Approach (2025) DOI
- Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking (2024) DOI
- TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge Computing (2024) DOI
- Multilevel Cybersecurity for Photovoltaic Systems (2024) DOI
- Amnesiac Memory: A Self-Destructive Polymorphic Mechanism Against Cold Boot Data Remanence Attack (2024) DOI
- Calibratable Polymorphic Temperature Sensor for Detecting Fault Injection and Side-Channel Attacks (2024) DOI
- Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events (2024) DOI
- An Internet of Things Testbed for Education and Community Research (2023) DOI
- Case Study for Skewing MTNCL Circuits (2023) DOI
- Digital Twin of an ANPC inverter with integrated Design-For-Trust (2022) DOI
- Use It-No Need to Shake It! (2022) DOI
- Built-In Self-Test for Multi-Threshold NULL Convention Logic Asynchronous Circuits using Pipeline Stage Parallelism (2022) DOI
- A Framework of an IoT Testbed (2022) DOI
Federal Grants 2 $2,399,755 total
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