Invited Seminars at Universities
1. Sogang University, Invited by Prof. Jinwook Burm (09 / 2025)
”Beyond Intelligent Computing: Scalable, Efficient, and Trustworthy AI Accelerators”
2. Soongsil University, Invited by Prof. Seongsoo Lee, (08 / 2025)
”Beyond Intelligent Computing: Scalable, Efficient, and Trustworthy AI Accelerators”
3. Seoul National University (SNU), Invited by Prof. Jerald Yoo (01 / 2025)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
4. Korea University, Invited by Prof. Jongsun Park (08 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
5. Hanyang University, Invited by Prof. Hyungjin Kim (08 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
6. Inha University, Invited by Prof. Hanho Lee (07 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
7. Ewha Womans University, Invited by Prof. Hyungsoon Shin (07 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
8. Sungkyunkwan University (SKKU), Invited by Prof. Jong Hwan Ko (07 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
9. University of California, Irvine (UCI) (03 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
10. University of California, Santa Cruz (UCSC) (03 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
11. Rutgers University (02 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
12. Case Western Reserve University (CWRU) (02 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
13. Northeastern University (02 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
14. Washington University in St. Louis (WashU) (01 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
15. University of Illinois Urbana-Champaign (UIUC), Invited by Prof. Klara Nahrstedt (10 / 2023)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
16. University of Wisconsin-Madison (UW-Madison), Invited by Prof. Younghyun Kim (10 / 2023)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
17. Duke University, Invited by Prof. Jeffrey Krolik (10 / 2023)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
Invited Panels at Universities and Conferences
1. Judging Panelist, Chaired by Prof. Kea-Tiong (Samuel) Tang, 2025 IEEE ISCAS (05 / 2025)
”IEEE CASS 9th Student Design Contest”
2. Panelist, Invited by Graduate Students Association (GSA), Rutgers University (03 / 2025)
”Faculty Debate: Industry vs. Academia for ECE”
3. Panelist, Duke University (05 / 2023)
”2023 Girls Exploring Math (GEM) Summer Workshop”
4. Panelist, Duke University (08 / 2022)
”2022 Fall Science & Engineering Exploration in Durham (SEED) for ECE and STEM Students”
5. Panelist, Duke University (02 / 2022)
”2022 Spring ECE Ph.D. Qualifying Exam Panel Discussion”
Talks at Conferences and Forums
1. 2024 Heidelberg Laureate Forum (HLF) (09 / 2024)
”Processing-isn-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
2. [Third Place] 2022 Duke ECE Workshop/Retreat. (09 / 2022)
”Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators”
3. 2021 IEEE International Symposium on Circuits and Systems (ISCAS) (05 / 2021)
”An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks”
Posters at Conferences and Forums
1. 2025 DAC Korean Research Workshop (06 / 2024)
”DAC 2025 Preview and Beyond Intelligent Computing”
2. 2024 Heidelberg Laureate Forum (HLF) (09 / 2024)
”Processing-isn-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
3. 2024 DAC PhD Forum (06 / 2024)
”Processing-in-Memory Accelerators Toward Energy-Efficient Real-World Machine Learning”
4. 2023 NSF CSR PI Meeting (10 / 2023)
”An SRAM-Processing-in-Memory Chip for Seizure Multi-class Classification”
5. 2023 ATHENA Annual Review (05 / 2023)
”INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators”
6. 2020 IBM IEEE AI Compute Symposium (AICS). (10 / 2020)
”Leveraging 3D Vertical RRAM to Developing Neuromorphic Architecture for Pattern Classification”
7. 2019 Korean Conference on Semiconductors (KCS) (02 / 2018)
”3D vertical RRAM (VRRAM) synapse for Neural Network system”
8. [Best Poster Award] 2018 Korean Conference on Semiconductors (KCS) (02 / 2018)
”Analysis of the Memristor-based Crossbar Synapse for Neuromorphic System”