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Oct. 20, 2021

New faculty 2021-2022

Six new tenure-system faculty join MSU Engineering

The Michigan State University College of Engineering recently added six new tenure-system faculty members to its growing list of academic experts.

One new assistant professor focuses on trustworthy artificial intelligence while another studies electronics in extreme environments, plus another examines diamond nanofabrication techniques. The new scientific talent in the college also includes experts in bioengineering tools, sensing and mobile computing, thermal fluid science, and wireless communication and networking.

MSU Engineering now has a total of 235 tenure-system faculty.

Meet MSU's newest experts:

Biomedical Engineering and Institute for Quantitative Health Science & Engineering

Jinxing Li

Jinxing Li
Assistant Professor (Joined January 2021)

Jinxing Li is working to develop cutting-edge bioengineering tools that require new materials and miniaturized devices that can noninvasively access living systems, accurately measure the spatiotemporal dynamics of biochemical signals, and precisely deliver treatment based on the information matrix on demand. His goal is through new materials, advanced fabrication, analytical chemistry, and data science to build miniaturized sensors and robots that can integrate human physiology in a minimally invasive way. 

EDUCATION: Postdoctoral scholar, chemical engineering, Stanford University; Ph.D., nanoengineering, University of California, San Diego; M.S. in electrical engineering, Fudan University in China; B.S. in electrical engineering, Huazhong University of Science and Technology in China

PREVIOUS APPOINTMENT: Postdoctoral scholar, Stanford University

Computer Science and Engineering

Tianxing Li

Tianxing Li
Assistant professor (Joined January 2021)

Tianxing Li's research interests are in sensing, mobile computing, low-power devices, wireless communications, and embedded systems. The research focus includes human-computer interaction, mobile health, Internet of Things, and VR/AR/xR.

EDUCATION:  Ph.D. and M.S., computer science, Dartmouth College; B.S. in engineering, electronic and communication systems, Australia National University, and B.S. in engineering, optical information science and technology, Beijing Institute of Technology in China

PREVIOUS APPOINTMENT: Postdoctoral researcher associate, College of Information & Computer Science, University of Massachusetts Amherst

Sijia Liu
Assistant professor (Joined January 2021)

Sijia Liu

Sijia Liu's research interests include trustworthy artificial intelligence, optimization for deep learning, computer vision, signal processing, and computational biology.

EDUCATION: Ph.D. in electrical and computer engineering, Syracuse University, where he won the All University Doctoral Prize; M.S. and B.S. in electrical engineering, Xi'an Jiaotong University in China

PREVIOUS APPOINTMENT: Research staff member, MIT-IBM Watson Artificial Intelligence Lab, IBM Research in Cambridge, Massachusetts

Electrical and Computer Engineering and Biomedical Engineering

Bige Deniz Unluturk

Bige Deniz Unluturk
Assistant professor (Joined August 2021)

Bige Deniz Unluturk focuses her research in the areas of wireless communication and networking, specifically molecular communications and Internet of Bio-NanoThings, and their applications to healthcare. She is interested in the application of communication engineering, signal processing, stochastic modeling, and information theory to study biological and molecular communications.

EDUCATION: Ph.D., electrical and computer engineering, Georgia Institute of Technology, Atlanta; M.Sc., electrical and computer engineering, Koc University, Istanbul, Turkey; B.Sc., electrical and electronics engineering, Middle East Technical University, Ankara, Turkey

PREVIOUS APPOINTMENT: Postdoctoral research associate, Contag Lab, Michigan State University

Electrical and Computer Engineering

Shannon Nicley

Shannon Nicley

Assistant professor, electrical and computer engineering (Joined January 2021)

Shannon Nicley's research is in the development of novel material growth capabilities and the microwave plasma assisted chemical vapor deposition growth of doped diamond for quantum applications including sensing, quantum communication, quantum memories, and quantum computing. Her interests also include the discovery and characterization of new solid state qubit candidates and the development of diamond nanofabrication techniques.

EDUCATION: Ph.D., Michigan State University on boron-doped diamond for high power diode applications; she continued her work on high power electronics during postdoctoral study at Hasselt University in Belgium before shifting to quantum applications as a Newton International Fellow at the University of Oxford.

PREVIOUS APPOINTMENT: Scientist, Fraunhofer USA Center for Coatings and Diamond Technologies

Mechanical Engineering

Bei Fan
Assistant professor (Joined August 2021)

Bei Fan
Bei Fan
 

Bei Fan research interests cover broad areas including thermal fluid science, electrokinetics, experimental fluid mechanics, energy conversion, desalination, microfluidics and micro/nano fabrication.

EDUCATION: Ph.D., mechanical and aerospace engineering, University of California, San Diego; B.S., precision machinery and instrumentation, University of Science and Technology of China

PREVIOUS APPOINTMENT: Postdoctoral fellow, energy storage and distributed resources, Lawrence Berkeley National Laboratory, Berkeley, California

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