Faculty Directory

Qu, Gang

Qu, Gang

Electrical and Computer Engineering
The Institute for Systems Research
Maryland Applied Graduate Engineering
Maryland Energy Innovation Institute
1417 A.V. Williams Building

Gang Qu received his M.S. and Ph.D. degrees in Computer Science from UCLA in 1998 and 2000, respectively. Previously, he had studied Mathematics in the University of Science and Technology of China (USTC) and the University of Oklahoma. He joined the Department of Electrical and Computer Engineering at the University of Maryland in 2000. He holds a joint appointment with the Institute for Systems Research. He is currently the director of Maryland Embedded System and Hardware Security (MeshSec) lab and wireless sensors laboratory.

Dr. Qu works on power/energy efficiency and security problems in the design of integrated circuits (IC), embedded systems, cyber physical systems, and the Internet of Things. He has more than 300 publications in these areas and served 18 times as the general or program chair/co-chair of international conferences, symposiums, and workshops. He is a co-founder of IEEE Asian Hardware Oriented Security and Trust (2016), the founding chair for the hardware security track in ACM Great Lakes Symposium on VLSI (2016), a co-founder of the Hot Picks in Hardware and System Security Workshop (2018), a co-founder of IEEE CEDA Hardware Security and Trust Technical Committee (2019). He has served as the associated editor for many scientific journals, including IEEE Transactions on Computers (TC), Transactions Emerging Topics in Computing (TETC), Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Transactions on Circuits and Systems II (TCAS-II), Embedded Systems Letters (ESL); ACM ACM Transactions on Design Automation for Electronic Systems (TODAES); Integration, the VLSI Journal; Journal of Computer Science and Technology (JCST); Journal of Hardware and System Security (HaSS); and Fundamental Research (FR).

Honors and awards

•IEEE Fellow, 2021

•Best Paper Awards: 33rd IEEE International System-on-Chip Conference (SOCC 2020); 4th IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2019); 17th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2006);  ACM SIGMOBILE International Conference on

Mobile Computing and Networking (MobiCom 2001)  

• ACM Recognition of Service Awards, ACM SIG Governing Board (2019, 2006,  2005)  

• Outstanding Systems Engineering Faculty Awards, ISR, University of Maryland (2020)

• George Corcoran Award, ECE Department, University of Maryland (2002)   

Dr. Qu's research interests fall in the broad field of VLSI design automation with focus on low power and security issues in the design of integrated circuits (IC), embedded systems, cyber physical systems, and the Internet of Things. For real life problems, we build mathematical models, develop optimal and heuristic algorithms, implement practical solutions, and perform system prototyping. He has served on the ACM SIGDA Low Power Technical Committee and is the co-founder of IEEE CEDA Hardware Security and Trust Technical Committee. 

The scope of his work on hardware and system security and trust goes from new materials, transistor, and logic gates to architecture, system, network, and application levels. Some examples include resistive RAM based authentication, polymorphic logic as a new hardware security primitive, ring oscillator physical unclonable functions (RO PUF), gate camouflage and logic obfuscation, secure scan chain design, VLSI intellectual property (IP) and IC protection, information hiding, fault injection and side channel attacks, fault tolerant and approximate computing for security and authentication, GPS spoofs attack detection and survival, insider attack detection in wireless network, security in smart grids and vehicles, privacy preservation in vehicular network, and more recently various security and trust issues in machine learning algorithms and their implementations.

He has made significant contributions in the power and energy efficient design of VLSI systems, embedded systems, wireless sensor networks, and the Internet of Things. He is among the first to investigate how to change system's operating voltage and clock frequency based on system's real time computation demands to reduce power and energy, which nowadays is known as dynamic voltage and frequency scaling. He proposed a series of studies on trading performance for energy saving (such as design with quality of service guarantee and probabilistic design), the key concept of approximate computing. More recently, he is looking into various security vulnerabilities introduced by aggressive power and energy reduction.

He has taught the following courses: ENEE 114, ENEE 244, ENEE 644, ENEE 759B, and ENEE 759Q. He won the George Corcoran Teaching Award in 2002.

Keynote address by Gang Qu focuses on scan-based DfT

Qu spoke at the IEEE Asian Test Symposium in Bejing.

Maryland Engineers Graham, Nau, Zhao elected Fellows of AAAS

Three Clark School professors have been newly chosen as 2022 Fellows by the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society and publisher of the Science family of journals.

Better 'lifetime predictions' for NAND flash memory

New ADLPT techniques developed by Gang Qu and colleagues can mimimize redundant prediction operations.

ECE Welcomes New Faculty Member Sanghamitra Dutta

Dutta’s research interests lie in fairness, explainability, and reliability of machine learning for high-stakes applications.

ISR/ECE faculty organizing, moderating panel at CADforAssurance

Gang Qu is one of the event organizers; Ankur Srivastava is a moderator of Panel 5 on hardware assurance for AI.

2022 BBI Seed Grant Awards to Fuel Innovation in Aging and Development Research

The five interdisciplinary projects funded by the BBI offer cutting-edge approaches to translational neuroscience.

Nine Maryland Engineers Recognized as Being "One in 1,000"

Clark School researchers among the "who's who" of influential researchers, according to Clarivate.

UMD Invests Over $10M in Research Equipment to Drive Discovery, Innovation

The University of Maryland (UMD) is making a major investment to obtain the most technologically advanced equipment on the College Park campus for application across a broad range of research areas, from neuroimaging to next-generation quantum materials.

Institute of Electrical and Electronics Engineers (IEEE)

  • Fellow, 2021