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Tenure-track assistant professor at Morgan State University 

Visiting professor at the School of Medicine, University of North Carolina at Chapel Hill

Education:

Bachelor of Engineering in Energy and Power Engineering from the University of Shanghai for Science and Technology

Ph.D. in Mechanical and Aerospace Engineering from the University of Missouri-Columbia.

Experience: 

Before joining Morgan State University, Dr. Li was a research assistant professor in the Mechanical Engineering Department at Vanderbilt University.

Research interests mainly focus on multiscale and Multiphysics modeling of fluid flow and heat transfer problems in biological applications and bio-inspired designs.

He has published 30 journal papers (21 as first author) and has been the first author of one book chapter.

He serves as a frequent reviewer for 12 journals in the thermal fluid field.

He is a member of the American Society of Mechanical Engineers (ASME) and the American Physical Society (APS).

Postdoc

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Education:

  • PhD in Communication Science and Disorders, University of Pittsburgh

Dissertation title: Preclinical investigations to optimize surgical restoration of symmetrical vocal fold vibration

Advisors: Lea Sayce, Bernard Rousseau

My dissertation research uses interdisciplinary methods to develop preclinical laryngology interventions for unilateral vocal fold paralysis. This work explores the feasibility of using bioreactors and bioactive materials to study vocal fold fluid mechanics in vitro and develops computational models for optimization of implant design for type I thyroplasty from in vivo and ex vivo image derived data.

  • Certificate in Clinical and Translational Science, University of Pittsburgh

  • MS in Speech-Language Pathology and Audiology, Florida Atlantic University

 

Research Topics & Interests:

Dr. Wilson's research focuses on integrating multiscale biological changes into 3D fluid-structure interaction models, using advanced imaging techniques to enhance model accuracy while optimizing computational resources.

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Education:

  • PhD in Mechanical Engineering, Michigan State University

       Advisors: Dr. Farhad Jaberi, Dr. Daniel Livescu
      Dissertation title: Numerical Study of Spatially Developing Supersonic Turbulent Shear Layers

Research Topics & Interests:

Computational Fluid Mechanics, High-Speed Flows, Turbulence, Nanoscale Heat Transfer

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Weibing Cai

Education:

  • PHD of Mechanics from southern University of Science and Technology

  • Master of  Geotechnical Engineering from Shandong University

  • Bachelor of Civil Engineering from Wuhan University of Science and Technology

Research Topics & Interests:

My current work mainly focus on the development of solid fracturing and multi-field coupling and contact model using both finite element method and discrete element method.

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Mohammad Hossein Doranehgard

Education:

  • Ph.D. in Mechanical Engineering from the Hong Kong University of Science and Technology (ranked 47th globally by QS)

  • Master in  Petroleum Engineering from the University of Alberta, Canada

  • Master in Mechanical Engineering from Iran University of Science and Technology

Research Topics & others:

Mohammad has over 70 ISI papers in the field of fluid mechanics and energy conversion. He serves as a Guest Editor for several prestigious journals, including Physics of Fluids, International Journal of Hydrogen Energy, Energy, and RSC Advances. Additionally, he has contributed as a reviewer for more than 350 papers across 30 different journals.

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Education:

  • Ph.D. in Power Engineering and Engineering Thermophysics from East China University of science and technology (ECUST)

     Dissertation: Numerical Investigation of the Coherent Structures and Mechanism of Sound Sources in High Subsonic Jets

  • Master of Computational Fluid Dynamics (CFD) from ECUST

     Dissertation: Large Eddy Simulation of Compressible Parallel Jet Flows and Comparison of Five Sub-grid Scale Models

  • Bachelor of Process Equipment and Control Engineering from ECUST

Research Topics & others:

Jet noise, Coherent structure, Sound source mechanism, High-performance computing, and Data-driven fluid mechanics.

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S M Abdullah Al Mamun

Education:

  • PhD in Mechanical and Industrial Engineering from New Jersey Institute of Technology.

  • MSc in Mechanical and Aerospace Engineering from Oklahoma State University.

Research Topics & others:

  • Research experience in developing computational fluid dynamics algorithms for simulations spanning in both macro‑scopic and meso‑scopic domains. Track record of implementing data‑driven techniques to address challenges in fluid dynamic problems on the ground of machine learning and reduced order modeling.

  • Will be working on "Hybrid Quantum Computing-GPU Acceleration Algorithms Development for Fluid Structure Interaction"

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Guiliang Liu

Ph.D in Mechatronics Engineering, Morgan state university

Education:

Bachelor of energy and power engineering from Changzhou University

Master of engineering thermophysics from University of Shanghai for Science and Technology

Research topics:

Numerical simulation of fluid flow and heat transfer, Particle two-phase flow, Fluidized bed combustion

simulation, Chaotic characteristic analysis.

Ph. D students
Graduate students

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Guofeng He

Ph.D in Mechatronics Engineering, Morgan state university

Education:

Bachelor of  Science in Energy and Environmental Systems Engineering, University of  Southwest Petroleum

Research topics:

Fluid-Structure Interaction Simulation, Numerical simulation research on fluid flow and heat transfer inside finned tubes.

Research Associate

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Runlin (Randy) He

Education:

Master of Science in Computer Science Paul G. Allen School, University of Washington

Bachelor of Science in Computer Science and Applied Mathematics, University of Washington

Research topics:

Human-Computer Interaction

Computer Vision (Low Light Environment detection)

Audio Translation

Physics-Informed Neural Networks

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Mohammad Nasirul Haque

Education:

  • PhD in Mechanical Engineering, Vanderbilt University

  • Dissertation title: Computational Modeling of the Hummingbird Escape Maneuver.

  • MS in Mechanical Engineering, University of Toledo

  • Dissertation title: MacCormack Scheme Based Artificial Dissipation for Computational Aeroacoustics Application.

  • BS in Mechanical Engineering, Bangladesh University of Engineering and Technology

Research Topics & others:

  • Research Interest: Computational fluid dynamics, fluid-structure interaction, bio-inspired engineering, animal flight

  • Potential project: Fluid-Structure Interaction Modeling of Cilia Beating in Biofluid Systems: Advancing Computational Tools for Bioinspired and Biomedical Applications.

Undergraduate students

Alumni

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Tingying Lu

Duration: 2024.07-2025.01

Education:

Master of Science, Data Science, Johns Hopkins University

Bachelor of Science, Computational Statistic and Applied Mathematics, The Pennsylvania State University

Research topics:

Python, Java, R, SAS, MATLAB, HTML, Tableau, SQL, AWS, K8s
Data Analysis, Data Mining, Data Visualization, Quantitative Modeling, Statistic Analysis, User
Acceptance Testing, Business Analysis, Financial Analysis, Machine Learning, Deep Learning, Image Recognition. Algorithms, Large Datasets Handling, Predictive Modeling, AI-powered Customer Support, Product Development, Inventory Management, AI Model Training and Optimization, Customer Satisfaction and Engagement Improvement, Presentation, Problem Solving, Collaboration, and Communication.

2024 Summer

Summer intership

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