Grants & Projects per year
Personal profile
Research interests
- Multiscale/multiphysics modeling and simulations
- High-performance computational modeling
- Physics-based machine learning
- Transport phenomena
Biography
Jifu Tan received his BS in civil engineering from Beijing Jiaotong University and his MS and PhD degrees in mechanical engineering from Lehigh University.
Before joining Binghamton, he was an assistant professor and then promoted to associate professor at Northern Illinois University (NIU). He did his postdoctoral research in the Department of Chemical and Biomolecular Engineering at the University of Pennsylvania.
He is also a guest faculty research participant at Argonne National Laboratory. He is the recipient of the 2024 David W. Raymond Award for Use of Technology in Teaching at NIU. He also received the NSF CAREER award in 2024.
His primary research interest is fluid structure interaction and its application in engineering and medicine, such as drug delivery, blood flow modeling, thrombosis and bleeding simulation, microfluidic device design for cell separation. He is also interested in high performance computing, multiscale modeling, data-driven models and machine learning. He is actively engaged in developing open-source code for scientific research.
Resources
Education/Academic qualification
Bachelor, Beijing Jiaotong University
Master, Lehigh University
PhD, Lehigh University
ASJC Scopus Subject Areas
- Mechanical Engineering
Researcher Selected Keywords
- Multiscale/multiphysics modeling and simulations
- High-performance computational modeling
- Physics-based machine learning
- Transport phenomena
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CAREER: Multiscale Modeling of Thrombus Formation and its Response to External Loads
Tan, J. (PI)
10/1/24 → 10/31/29
Project: Research
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ERI: Integration of Computational Modeling and Machine Learning for Clot Mechanics
Tan, J. (PI)
10/1/24 → 08/31/26
Project: Research
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An Efficient Multidirect Forcing Scheme of Immersed Boundary–Lattice Boltzmann Method
Fang, D. & Tan, J., Jul 1 2026, In: Journal of Fluids Engineering, Transactions of the ASME. 148, 7, 071503.Research output: Contribution to journal › Article › peer-review
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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction
Guo, L. R., Tan, J. & Hughes, M. C., 2025, In: Frontiers in Public Health. 13, 1472398.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Intuitive Computational Steering Using Ascent and Trame
Marrinan, T., Sewell, A., Mateevitsi, V. A., Petruzza, S., Tan, J., Fytanidis, D. K. & Papka, M. E., 2025, Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025. Institute of Electrical and Electronics Engineers Inc., p. 10-19 10 p. (Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Real-time Scientific Visualization and Interactive Steering for High-Performance Computing Simulations
Marrinan, T., Sewell, A., Mateevitsi, V. A., Petruzza, S., Tan, J., Fytanidis, D. K. & Papka, M. E., Jul 18 2025, PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc, 87. (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Simulation of non-spherical particles for managing mass flow within a belt-driven hopper
Murphy, C., Pohlman, N. A. & Tan, J., 2025, In: Particulate Science and Technology. 43, 4, p. 563-573 11 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations