Electrical & Computer Engineering

Designing reliable systems at the edge of integration.

I study yield, reliability, and design automation for advanced 2.5D/3D integrated systems.

  • Hybrid Bonding
  • 3D Integration
  • Design Automation

UMN ECE Ph.D.UCLA M.S.Advanced Packaging

Jialong Chen

Ph.D. Student · University of Minnesota

01 / Selected work

Research built for real constraints.

My work connects statistical modeling, physical reliability, and optimization to make advanced integration more predictable.

01

Statistical Yield Modeling for 3D-Stacked Hybrid-Bonded Systems

A stage-aware framework for D2D and W2W stacks that brings overlay, contamination, Cu recess, ESD, TSV defects, and thermomechanical warpage into one statistical view of yield.

Validated analytical mechanics against 300 ANSYS cases with 0.108 µm mean absolute error, without empirical fitting.

  • Statistical modeling
  • Thermomechanics
  • ANSYS
02

Yield-Aware I/O Planning for Hybrid-Bonded Chiplets

A layout-aware I/O planning framework that jointly models ESD, particle contamination, overlay variation, and thermomechanical failure for 2.5D and 3D chiplet systems.

Improved bonding yield by up to 19.9 percentage points on HBM4 and million-bump benchmarks without increasing die area.

  • EDA
  • Optimization
  • ESD