Tung-Che Liang

Tung-Che Liang

Duke University

H-index: 9

North America-United States

About Tung-Che Liang

Tung-Che Liang, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Duke University, specializes in the field of Electronic Design Automation, Microfluidics, Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, Hardware Security.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic Biochips

Observation Point Insertion Using Deep Learning

Deep Reinforcement Learning-based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips

Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning

Enhanced fluorescent detection of nucleosomes using functionalized magnetic beads on a digital microfluidic device

Securing Biochemical Samples Using Molecular Barcoding on Digital Microfluidic Biochips

Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips

Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning

Tung-Che Liang Information

University

Position

___

Citations(all)

240

Citations(since 2020)

221

Cited By

83

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Tung-Che Liang Skills & Research Interests

Electronic Design Automation

Microfluidics

Deep Reinforcement Learning

Multi-Agent Reinforcement Learning

Hardware Security

Top articles of Tung-Che Liang

Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic Biochips

ACM Transactions on Design Automation of Electronic Systems

2024/1/15

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Tsung-Yi Ho
Tsung-Yi Ho

H-Index: 30

Observation Point Insertion Using Deep Learning

2022/10/30

Deep Reinforcement Learning-based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022/7/28

Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning

2022/3/14

Enhanced fluorescent detection of nucleosomes using functionalized magnetic beads on a digital microfluidic device

2022/3/2

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Securing Biochemical Samples Using Molecular Barcoding on Digital Microfluidic Biochips

2021/10/7

Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2021/9/6

Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning

International Conference on Machine Learning

2021/1

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Microfluidic Device Security

2021/5/29

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Ramesh Karri
Ramesh Karri

H-Index: 6

Fluorescent detection of nucleosomes using functionalized magnetic beads on a digital microfluidic device

2021/3/5

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Security and Synthesis Solutions for Digital Microfluidic Biochips

2021

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Enhancing the Reliability of MEDA Biochips Using IJTAG and Wear Leveling

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2020/10/20

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Extending the Lifetime of MEDA Biochips by Selective Sensing on Microelectrodes

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2020/10/2

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Miroslav Pajic
Miroslav Pajic

H-Index: 26

Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning

Proceedings of the 37th International Conference on Machine Learning

2020/1

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Molecular Barcoding as a Defense Against Benchtop Biochemical Attacks on DNA Fingerprinting and Information Forensics

IEEE Transactions on Information Forensics and Security

2020/5/14

Toward Secure Checkpointing for Micro-Electrode-Dot-Array Biochips

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2020/3/11

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Ramesh Karri
Ramesh Karri

H-Index: 6

Secure Assay Execution on MEDA Biochips to Thwart Attacks Using Real-Time Sensing

ACM Transactions on Design Automation of Electronic Systems (TODAES)

2020/1/17

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Ramesh Karri
Ramesh Karri

H-Index: 6

Reliability-Oriented IEEE Std. 1687 Network Design and Block-Aware High-Level Synthesis for MEDA Biochips*

2020/1/13

Tung-Che Liang
Tung-Che Liang

H-Index: 4

Programmable Daisychaining of Microelectrodes to Secure Bioassay IP in MEDA Biochips

IEEE Transactions on VLSI Systems

2020

See List of Professors in Tung-Che Liang University(Duke University)

Co-Authors

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