Jia Di Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Jia Di's research program focuses on the design and implementation of advanced digital circuits and systems, with a particular emphasis on hardware security, asynchronous logic, and the application of deep learning and signal processing techniques to emerging technological challenges. Di is a Principal Investigator on two significant National Science Foundation (NSF) grants. The first, totaling $2,000,000, is for CHIPLETS360, a project aimed at datacenter optimization through a whole-stack approach encompassing novel accounting, design, reuse, and heterogeneous provisioning of chiplets. The second NSF grant, for $399,755, supports collaborative research in deep learning and signal processing using silicon photonics and digital CMOS circuits for ultra-wideband spectrum perception.
Di's scholarly contributions include numerous publications in peer-reviewed venues. Recent work addresses topics such as asynchronous polymorphic logic gates for hardware security, the use of dummy data for RFID tag and reader authentication, and the extraction of semantic information from video for verifying Internet of Things (IoT) events. Additionally, Di has investigated the reconfigurable ASIC implementation of asynchronous recurrent neural networks and built-in self-test methodologies for asynchronous circuits. The researcher's work also extends to the analysis of big data analytics in relation to firm risk and corporate policies, with evidence drawn from China.
With an h-index of 21 and over 1,590 citations across 157 publications, Di is recognized as a highly cited researcher. Key collaborators at the University of Arkansas at Fayetteville include Cole Sherrill, Chad Workman, Kenneth Mordi, and Hunter Nauman, with whom Di has co-authored multiple publications.
Metrics
- h-index: 21
- Publications: 157
- Citations: 1,602
Selected Publications
-
Analog-Digital Approximate DFT with Spatial ∆-Σ LNA Multi-beam RF Apertures (2025)
-
Synthesis and Timing Constraints for Reliable MTNCL Asynchronous Circuits (2025)
-
Innovations in MTNCL Gate Design: An Alternative MTCMOS Power-Gating Approach (2025)
-
Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking (2024)
-
TrustEvent: Cross-Platform IoT Trigger Event Verification Using Edge Computing (2024)
-
Multilevel Cybersecurity for Photovoltaic Systems (2024)
-
Amnesiac Memory: A Self-Destructive Polymorphic Mechanism Against Cold Boot Data Remanence Attack (2024)
-
Calibratable Polymorphic Temperature Sensor for Detecting Fault Injection and Side-Channel Attacks (2024)
-
Seeing Is Believing: Extracting Semantic Information from Video for Verifying IoT Events (2024)
-
An Internet of Things Testbed for Education and Community Research (2023)
-
Case Study for Skewing MTNCL Circuits (2023)
-
Digital Twin of an ANPC inverter with integrated Design-For-Trust (2022)
-
Use It-No Need to Shake It! (2022)
-
Built-In Self-Test for Multi-Threshold NULL Convention Logic Asynchronous Circuits using Pipeline Stage Parallelism (2022)
-
A Framework of an IoT Testbed (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
- Detection of molecular recurrence in early-stage bladder cancer patients using a urinary tumor DNA assay after TransUrethral Resection of Bladder Tumor (TURBT)
- RJBLC-A2A008: An open-label, single-arm, multi-center study on RC48-ADC combined with toripalimab and radiotherapy as bladder-preserving therapy in HER2 overexpression muscle-invasive bladder cancer
- RJBLC-NEBC001: A prospective, single-arm study on neoadjuvant adebrelimab plus etoposide and cisplatin in neuroendocrine bladder carcinoma
- Detection of molecular recurrence in early-stage bladder cancer patients using a urinary tumor DNA assay after TransUrethral Resection of Bladder Tumor (TURBT)
- RJBLC-A2A008: An open-label, single-arm, multi-center study on RC48-ADC combined with toripalimab and radiotherapy as bladder-preserving therapy in HER2 overexpression muscle-invasive bladder cancer
- RJBLC-NEBC001: A prospective, single-arm study on neoadjuvant adebrelimab plus etoposide and cisplatin in neuroendocrine bladder carcinoma
- 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
Similar Researchers
Based on overlapping research topics