0000-0002-5396-110X About
Xing Huang is currently a professor and doctoral supervisor at the School of Computer Science, Northwestern Polytechnical University, Xi’an, China. He received the B.S. degree in Computer Science and Technology and the Ph.D. degree in Intelligent Information Technology from Fuzhou University, in 2013 and 2018, respectively. He is also a joint-training Ph.D. with the Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA, sponsored by the China Scholarship Council. From 2018 to 2022, he conducted postdoctoral research at Taiwan Tsing Hua University, the Technical University of Munich, and The Chinese University of Hong Kong, respectively.
Xing Huang’s current research interests include electronic design automation (EDA) for microfluidic biochips and integrated circuits. He has published more than 40 papers in the field, primarily at top conferences such as DAC, ICCAD, DATE, etc., as well as in flagship journals such as TCAD, TODAES, TOC, CSUR, etc. He has been awarded “The National Young Tatent Program” of China (2022), the “Humboldt Research Fellow” of Germany (2020), the “TUFF Fellow” of the Technical University of Munich (2019), and the “MOST Fellow” of the Department of Technology and Science of Taiwan province (2018). He is a recipient of the best paper award nomination of the CCF Integrated Circuit Design and Automation Conference, the distinguished reviewer of ACM Transactions on Design Automation of Electronic Systems, the scholarship for studying abroad under the China Scholarship Council, the National Scholarship for Doctoral Students of China, the Excellent Lu Jia-Xi Postgraduate Award, the National Software Designing Professional of the Ministry of Industry and Information Technology. He has served as the technical program committee (TPC) member of several major conferences such as DAC, ICCAD, ASP-DAC, VLSI-SOC, etc., and the reviewer of a dozen top journals such as TCAD, TODAES, TVLSI, TBIOCAS, etc.
Employment
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Northwestern Polytechnical University
Education
Education history is unavailable.
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Publications (43)
- AADBP: Automated Anomaly Detection Method for Biochemical Protocols in Continuous-Flow Microfluidic Biochips Save
- Architectural Design of Control Logic for Continuous-Flow Microfluidic Biochips Considering Channel Straightness Save
- Wire-form shape memory alloy actuators: modeling, design, and control Save
- Adaptive Control-Logic Routing with Length Matching and Fault Tolerance for FPVA Biochips Using Deep Reinforcement Learning Save
- Design Automation Techniques for Microfluidic Fully Programmable Valve Array Biochips: A Systematic Survey Save
- Path-Driven Washing and Drying Co-Optimization in Continuous-Flow Lab-on-Chips Save
- A Two-Layer Decoupled Synthesis Framework for Uncertain Biochemical Protocols on Active-Matrix Digital Microfluidic Platforms Save
- EnFault: Enhanced Fault-Tolerant Physical Design of FPVA Biochips Using Deep Reinforcement Learning Save
- Genetic Algorithm-Optimized Dilated Convolutional Neural Network: A High-Performance Approach for Alzheimer's Disease Diagnosis Using MRI Data Save
- SwarmRouter: Obstacle-Avoiding Routing for Droplet Swarms on Active-Matrix Digital Microfluidic Biochips Save