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    • Home
    • Program
    • LAD Fellows
    • LAD Fellowship
    • GenAI Chip Hackathon
    • Registration
    • Directions for venue
    • Sponsorships
    • Accepted Papers
    • Call for Papers
    • Committee
      • Steering Committee
      • Organizing Committees
      • TPC
    • LAD'24 Home Page
    • LAD'24
      • LAD'24 CFP
      • LAD'24 Camera Ready Inst.
      • LAD'24 Organizing Cmte
      • LAD'24 Steering Cmte
      • LAD'24 TPC
      • LAD'24 Venue & Travel
      • LAD'24 program
      • LAD'24 Registration
      • LAD'24 Stud. travel grant
      • LAD'24 photos
  • Home
  • Program
  • LAD Fellows
  • LAD Fellowship
  • GenAI Chip Hackathon
  • Registration
  • Directions for venue
  • Sponsorships
  • Accepted Papers
  • Call for Papers
  • Committee
    • Steering Committee
    • Organizing Committees
    • TPC
  • LAD'24 Home Page
  • LAD'24
    • LAD'24 CFP
    • LAD'24 Camera Ready Inst.
    • LAD'24 Organizing Cmte
    • LAD'24 Steering Cmte
    • LAD'24 TPC
    • LAD'24 Venue & Travel
    • LAD'24 program
    • LAD'24 Registration
    • LAD'24 Stud. travel grant
    • LAD'24 photos

LAD Fellows

Stefan Abi-Karam

Stefan Abi-Karam

Stefan Abi-Karam

Georgia Institute of Technology

US

Enabling Rapid Optimized Domain Acceleration With Agentic High-Level Synthesis

Wenji Fang

Stefan Abi-Karam

Stefan Abi-Karam

Hong Kong University of Science and Technology Hong Kong SAR

Layout Logic Restructuring via Equality-Saturated Graph Retrieval-Augmented Generation

Charles Hong

Stefan Abi-Karam

Souradip Poddar

University of California, Berkeley

US

xComp: A Portable LLM-Driven Code Optimizer for Tensor Accelerators

Souradip Poddar

Souradip Poddar

Souradip Poddar

The University of Texas at Austin

US

Toward Agentic Foundation Frameworks for Analog and Mixed-Signal Design Automation

Jinwei Tang

Souradip Poddar

Jinwei Tang

University of Minnesota Twin Cities

US

GenChipUI: A Multi-Agent Framework for Trustworthy LLM-Aided Chip Design

Zeng Wang

Souradip Poddar

Jinwei Tang

New York University

US

 Do LLMs Know What’s Hard? Representation Based Difficulty and Security Estimation for Verilog Generation

Niansong Zhang

Niansong Zhang

Niansong Zhang

Cornell University

US

Agentic and Formal RTL Optimization with LLM-Guided Equality Saturation

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