Jifu Tan

Jifu Tan is an Assistant Professor in the Department of Mechanical Engineering at Binghamton University. Previously, he served as an Assistant Professor and later Associate Professor at Northern Illinois University (NIU), and completed a postdoctoral fellowship at the University of Pennsylvania. His research focuses on fluid-structure interaction, high-performance computing, multiscale modeling, and machine learning applications in engineering and medicine. He holds a BS in Civil Engineering from Beijing Jiaotong University and MS/PhD in Mechanical Engineering from Lehigh University. Notable recognitions include the 2024 David W. Raymond Award for Teaching Technology Innovation and the 2024 NSF CAREER Award.

His research interests span computational fluid dynamics, microfluidic device design for cell separation, blood flow modeling, and thrombosis simulation. He develops open-source codes for multiphysics simulations and has pioneered parallel fluid-structure interaction models for nanoparticle transport and cellular suspensions. His work integrates physics-based machine learning and data-driven models to address challenges in healthcare and engineering.

Recent contributions include studies on granular flow dynamics in conveyor systems, biomimetic fish locomotion analysis, and predictive modeling of disease transmission using dynamic mode decomposition. He collaborates with Argonne National Laboratory on multiphysics research and actively mentors students in computational and experimental projects.

Scientific achievements include advancements in microfluidic sorting techniques, nanoparticle delivery systems, and computational tools for in situ visualization of blood flow simulations. His lab focuses on translating multiscale simulations into practical applications for drug delivery, medical diagnostics, and sustainable engineering solutions.