0. Machine Learning for EDA

NSF

• LLM-aided Verilog Generation [DAC'24 WIP]
• HiVeGen: Hierarchical LLM-based Verilog Generation for Scalable Chip Design [ICLAD'25, Best Paper Award]
• MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design [ICCAD'25]
• GROOT: Graph Edge Re-growth and Partitioning for Verification [ICCAD'25]

1. Efficient Machine Learning Systems, NLP, Computer Vision

NSF

• Sparse Training — [ICCD'22]
• FPGA Acceleration and Architecture — [MICRO'17], [FPGA'18], [FPGA'19], [DAC'20], [DAC'22]
• GPU Acceleration — [SC'21], [SC'23]
• Efficient DNN Pruning — [EMNLP'20], [DAC'21], [IJCAI'21], [ACL'22], [IJCAI'23]
• Efficient Training — [IJCAI'21]
• Run-time Reconfigurable Inference — [DAC'21], [DATE'22]
• Embedded/IoT Systems — [DATE'22], [ICCAD'22]
• LLM Agents — [NeurIPS'24 MACM], [NeurIPS'25 InfantAgent-Next]

2. Privacy-Preserving Machine Learning

NSF

• Gradient Attack — [EMNLP'21]
• Membership Inference Attack — [IJCAI'21]
• Secure Federated Learning — [EMNLP'21 (Oral)]
• Homomorphic Encryption — [ICML'23], [NeurIPS'23], [MICRO'23], [ICLR'26]
• Differential Privacy — [Oakland'23]

3. Non-von Neumann Computing & Emerging Technology

NSF

• ReRAM Based ML — [ISCA'21], [ISLPED'19], [DATE'21 (Best Paper Nomination)], [ISCAS'22]
• Quantum ML — [ICCAD'21], [MLSys'22]
• Superconducting Circuits — [ICS'25], [DATE'24]

4. Optigrid: Planning & Optimizing the Power Grid

Eversource

• Developing statistical and deep learning models to predict demand using historical weather, EV sales, and PV installations.
• Real-time techniques to process statistical and deep learning models.

5. Graph Processing & Graph Neural Network

SRC / NSF

• Exploring extreme sparsity for GNNs for high energy efficiency in large core-count machines.
• Pioneering next-generation many cores systems for efficient execution of GNNs.

Personnel: Caiwen Ding (PI), Omer Khan (Co-PI)

6. Change and Damage Detection from Aerial Images

Travelers

• Data preprocessing and data understanding of satellite images.
• Change detection via Siamese Networks on pre and post-event images.
• Unsupervised anomaly (change) detection on aerial images and hail damage detection.

Personnel: Jinbo Bi (PI), Caiwen Ding (Co-PI), Dongjin Song (Co-PI)

7. Evaluating the Impact of Preferential Trade Agreements on Agricultural and Food Trade

USDA Agriculture and Food Research Initiative (Award #2022-67023-36399)

• Generates knowledge regarding the formation of preferential trade agreements (PTAs), their impact on global trade, and the consequences for U.S. agricultural and food businesses and employment.

Personnel: Caiwen Ding (Co-PI); Jeremy Jelliffe (Collaborator at ERS-USDA); Dongjin Song (Co-PI); Sandro Steinbach (PI)

8. Feasibility of Transformer-based Code Migration for HPC

DOE/LLNL

• Investigating large language models (LLM)-based code translation and generation techniques specially designed for LLNL's HPC application requirements.

Personnel: Caiwen Ding (PI)

9. Incorporating LLMs into Transportation Safety Analytics and Equity

DOT/NEUTC

10. Expanding Capabilities of AI-Based Video Analytics for Intersection Safety

DOT/CCTRP

11. Automated Wrong Way Driving Detection Using Economical Sensor Technologies

DOT/CCTRP