School of Engineering
Showing 451-494 of 494 Results
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Yigao Yuan
Postdoctoral Scholar, Materials Science and Engineering
Bioheterogeneous photocatalysis
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Tony Zahtila
Postdoctoral Scholar, Mechanical Engineering
BioI am a Postdoctoral Fellow at the Center for Turbulence Research.
I received my PhD in Australia from the University of Melbourne in 2023.
My PhD research focused on the physics and computing strategies of multiphase flows. More recently, my interests are in multi-fidelity simulation ensembles and uncertainty quantification. -
Mohammad Asif Zaman
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsMy research focuses on trapping and controlled manipulation of sub-micron sized particles. The work included modeling, fabrication and testing of chips that employ optical forces and/or dielectrophoretic forces to trap and transport nanoparticles. Our goal is to develop lab-on-a-chip systems for biomedical and chemical applications.
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Xianfeng Zeng
Postdoctoral Scholar, Bioengineering
BioPh.D. in Chemistry, Princeton University (2023)
B.Sc. in Chemistry, Tsinghua University (2017) -
Zhuo Zheng
Postdoctoral Scholar, Computer Science
BioMy research interests are Earth Vision and AI4Earth, especially multi-modal and multi-temporal remote sensing image analysis and their real-world applications.
First-author representative works:
- Our Change family: ChangeStar (single-temporal learning, ICCV 2021), ChangeMask (many-to-many architecture, ISPRS P&RS 2022), ChangeOS (one-to-many architecture, RSE 2021), Changen (generative change modeling, ICCV 2023)
- Geospatial object segmentation: FarSeg (CVPR 2020) and FarSeg++ (TPAMI 2023), LoveDA dataset (NeurIPS Datasets and Benchmark 2021)
- Missing-modality all weather mapping: Deep Multisensory Learning (first work on this topic, ISPRS P&RS 2021)
- Hyperspectral image classification: FPGA (first fully end-to-end patch-free method for HSI, TGRS 2020) -
(Andrew) Zhanke Zhou
Graduate Visiting Researcher Student, Computer Science
BioI am a visiting student working with Prof. Sanmi Koyejo. My research focuses on trustworthy machine reasoning with foundation models to solve complex problems such as mathematics, coding, and planning, as well as to accelerate scientific discovery and application in fields like biology, chemistry, and healthcare.
I believe that reasoning is the essential pathway to achieving AGI. Trustworthy machine reasoning encompasses properties such as reasoning power, robustness, safety, and explainability. My work involves developing methodologies, benchmarks, and theoretical foundations to advance these areas.
I am always open for possible collaborations. Please feel free to email me for research, collaborations, or a casual chat.
Personal website: https://andrewzhou924.github.io/
Email: andrewzhou924@gmail.com
