The Interventional Device Innovation Lab (IDI Lab) focuses on intervention-based diagnosis and treatment of brain diseases and brain computer interface-based brain enhancement. The IDI Lab is a member of the Brain Health and Brain Technlogy Center. The team has been granted three US patents for vascular interventional devices, with two of them already in clinical use.

The team has regular openings for Master's and PhD students annually, as well as a limited number of undergraduate research assistantships. Students with background in mechanical engineering, computer science, biomedical engineering, electrical engineering or similar majors are welcome to join the team.

2019    University of Michigan, Mechanical Engineering        Ph.D.

2015    University of Michigan, Mechanical Engineering        M.S.

2014    Shanghai Jiao Tong University, Mechanical Engineering B.S.

2025 - Pres.    GIFT, SJTU, Tenure-track Associate Professor

2022 - 2024    GIFT, SJTU, Tenure-track Assistant Professor

2020 - 2021    Radiology, Mayo Clinic, Postdoc (Academic Rank of Assistant Professor since Dec. 2020)

2019 - 2020    Mechanical Engineering, University of Michigan, Postdoc

• Design and manufacturing of interventional devices 

• Computer assisted intervention

2025-2027    National Natural Science Foundation of China Young Scientists Fund (52405282), PI

2023-2026    Science and Technology Commission of Shanghai Municipality (23YF1420900), PI

1. Xu S*, Liu Y*, Lee H, Li W. (2024) Neural interfaces: Bridging the brain to the world beyond healthcare. Exploration 4(5):20230146.

2. Liu Y*, Dai D*, Abbasi M, Mareuta OM, Gamb SI, Kadirvel R, et al. (2022) An in vitro Model for Extracellular DNA Traps (ETs)-Rich Human Thrombus Analogs. Journal of NeuroInterventional Surgery 15(6):589-593.

3. Liu Y, Gebrezgiabhier D, Zheng Y, Shih AJ, Chaudhary N, Pandey AS, et al. (2022) Arterial collapse during thrombectomy for stroke: clinical evidence and experimental findings in human brains and in vivo models. American Journal of Neuroradiology 43(2): 251-257. Editor’s choice

4. Liu Y, Brinjikji W, Abbasi M, Dai D, Arturo Larco JL, Madhani SI, et al. (2021) Quantification of Clot Spatial Heterogeneity and Its Impact on Thrombectomy. Journal of NeuroInterventional Surgery. (Ahead of print)
   

5. Liu Y, Arturo Larco JL, Madhani SI, Shahid AH, Quinton RA, Kadirvel R, et al. (2021) A thrombectomy model based on ex vivo whole human brains. American Journal of Neuroradiology 42 (11):1968-1972. Editor’s choice and featured on the journal cover

6. Liu Y*, Gebrezgiabhier D*, Reddy AS, Davis E, Zheng Y, Arturo Larco JL, et al. (2021) Failure Modes and Effects Analysis of Mechanical Thrombectomy for Stroke Discovered in Human Brains. Journal of Neurosurgery136(1):197-204.

7. Liu Y, Abbasi M, Arturo Larco JL, Kadirvel R, Kallmes DF, Brinjikji W, et al. (2021) Preclinical testing platforms for mechanical thrombectomy in stroke: a review on phantoms, in-vivo animal, and cadaveric models. Journal of NeuroInterventional Surgery 13(9): 816-822. Featured on the journal cover

8. Ding YH*, Fitzgerald S*, Liu Y*, Dai D, Jakaitis D, Doyle KM, et al. (2021) A Novel Rabbit Thromboembolic Occlusion Model. Journal of NeuroInterventional Surgery13(11): 1040-1043.

9. Gebrezgiabhier D*, Liu Y*, Reddy AS, Davis E, Zheng Y, Shih AJ, et al. (2021) A human brain test bed for research in large vessel occlusion stroke. Journal of Neurosurgery 135(4):1072–1080.

ASME Manufacturing Science and Engineering Conference (MSEC), Symposium Organizer

Bioengieering, Guess Editor

Reviewer for Blood, Journal of Manufacturing Processes, Journal of NeuroInterventional Surgery, etc.

ENGR1000J Introduction to Engineering

ME3120J Mechanical Behavior of Biological Materials

ME4950J Mechaniacal Engineering Lab II

MATH6101G Engineering Numerical Analysis