Jia Di
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: University of Central Florida (2003–2006); Beijing University of Posts and Telecommunications (2024–2025); National University of Defense Technology (2006); Liaoning Technical University (2025); Tiangong University (2011); Missouri University of Science and Technology (2007); Soochow University (2025); PLA 306 Hospital (2010); Wuxi Ninth People's Hospital (2025); PLA Navy General Hospital (2006); Fayetteville Public Library (2013); Wuxi People's Hospital (2025); Shaanxi University of Science and Technology (2025); School of Visual Arts (2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jia Di's research program investigates the molecular mechanisms underlying acute kidney injury (AKI) and hemorrhagic shock. Di's work has explored the role of specific signaling pathways and cellular processes, including the insulin-like growth factor (IGF) system and interferon regulatory factors, in the context of these critical conditions. Research in Di's laboratory has utilized animal models to study disease progression and potential therapeutic targets. This work has been supported by federal grants, including significant funding from the National Science Foundation (NSF) for projects focused on chiplets for datacenter optimization and deep learning using silicon photonics for spectrum perception. Di holds an h-index of 22 with over 158 publications and 1,622 citations, and has maintained an active laboratory website and collaborated with researchers at the University of Arkansas at Fayetteville.
Metrics
- h-index: 22
- Publications: 158
- Citations: 1,637
Selected Publications
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A Dynamic-Style Multi-Threshold NULL Convention Logic for High-Performance Asynchronous Systems (2026)
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Experimentation of Asynchronous Circuit Stacking for Power Management Simplification (2026)
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Analog-Digital Approximate DFT with Spatial ∆-Σ LNA Multi-beam RF Apertures (2025)
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Synthesis and Timing Constraints for Reliable MTNCL Asynchronous Circuits (2025)
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Innovations in MTNCL Gate Design: An Alternative MTCMOS Power-Gating Approach (2025)
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Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking (2024)
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TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge Computing (2024)
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Multilevel Cybersecurity for Photovoltaic Systems (2024)
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Amnesiac Memory: A Self-Destructive Polymorphic Mechanism Against Cold Boot Data Remanence Attack (2024)
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Calibratable Polymorphic Temperature Sensor for Detecting Fault Injection and Side-Channel Attacks (2024)
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Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events (2024)
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An Internet of Things Testbed for Education and Community Research (2023)
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Case Study for Skewing MTNCL Circuits (2023)
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Digital Twin of an ANPC inverter with integrated Design-For-Trust (2022)
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Use It-No Need to Shake It! (2022)
Federal Grants 2 $2,399,755 total
Collaboration Network
Top Collaborators
- Use It-No Need to Shake It!
- Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events
- A Framework of an IoT Testbed
- An Internet of Things Testbed for Education and Community Research
- TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge Computing
- Use It-No Need to Shake It!
- Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events
- A Framework of an IoT Testbed
- Case Study for Skewing MTNCL Circuits
- Innovations in MTNCL Gate Design: An Alternative MTCMOS Power-Gating Approach
- Synthesis and Timing Constraints for Reliable MTNCL Asynchronous Circuits
- Character Reassignment for Hardware Trojan Detection
- Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
- Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks
- Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
- A Framework of an IoT Testbed
- An Internet of Things Testbed for Education and Community Research
- Use It-No Need to Shake It!
- Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events
- Digital Twin of an ANPC inverter with integrated Design-For-Trust
- Multilevel Cybersecurity for Photovoltaic Systems
- Digital Twin of an ANPC inverter with integrated Design-For-Trust
- Multilevel Cybersecurity for Photovoltaic Systems
- Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events
- TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge Computing
- Calibratable Polymorphic Temperature Sensor for Detecting Fault Injection and Side-Channel Attacks
- Amnesiac Memory: A Self-Destructive Polymorphic Mechanism Against Cold Boot Data Remanence Attack
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