VLSI-SDA Lab의 Aiganym Zhalinova 학생이 "앵커 융합 기반 파형 재구성을 이용한 SRAM 매크로의 효율적인 CCS 특성화" 연구책임자로서 2026년도 여대학원생 공학연구팀제 지원사업 심화과정 결과발표대회에 참가하여 우수상을 수상하였습니다.

• Oral Presentation & Award

1. Aiganym Zhalinova, Excellence Award, Advanced Track, 2026 Engineering Research Team Support Program for Women Graduate Students

VLSI-SDA Lab 연구팀이 8번째 MLCAD에 참가했습니다.

• Oral Presentation

1. Aiganym Zhalinova et al., "Efficient CCS Characterization for SRAM Macros Based on Anchor-Fused Waveform Reconstruction"

VLSI-SDA Lab 구성원들이 함께 체육활동을 즐기고 소통하며 친목을 다지는 뜻깊은 시간을 보냈습니다.

We had a great time enjoying sports activities together with all the VLSI-SDA Lab members. 

VLSI-SDA Lab 연구팀이 63번째 Design Automation Conference에 참가했습니다.

• Poster Presentations

1. Ijun Jang et al., "Hierarchical Learning–Based Digital Circuit Design Tuning Framework for Power-Delay Optimization"

2. Jaeseung Baik, et al., "Split–and–Sync Bayesian Learning–Driven SRAM Compiler: Automatic Design Tuning with Optimal Banking"

VLSI-SDA Lab 연구팀이 2026년 대한전자공학회 하계종합학술대회에 참가했습니다.

• Poster Presentations

1. Donghyeon Ko,  Seungwon Son et al., "Hierarchical Optimization-Based Design Space Exploration for Adder Tree"

2. Taemin Kim, Taewoo Kim, et al., "Ultra-Fast Power Estimation Framework For Adder Tree using Unit-Cell based on LUT Modeling"

3. Donghyeon Ko, et al., " Counter-Based Sequential Accumulation for Area-Efficient Digital SRAM CIM"

4. Aiganym Zhalinova, et al., "SRAM CCS Characterization Acceleration via VDD-Weighted Anchor Selection and Delaunay-Based PVT Interpolation"

졸업한 모든 VLSI-SDA Lab 구성원들과 함께 즐거운 시간을 보냈습니다.

We had a great time with all the VLSI-SDA Lab members who graduated.

VLSI-SDA Lab 연구팀이 2026년 한국반도체산업협회 제 33회 한국 반도체학술대회에 참가했습니다.

• Poster Presentations

1. Dahun Ko, et al., "Learning Based Co-Optimization of Architecture and Transistor-Level Design for Power-Efficient Adder Tree in SRAM-Based In-Memory Computing"

2. Sejun Park, et al., "Energy-Efficient SRAM In-Memory Computing Circuit Enabled by Machine Learning-Based Design Optimization"