Dr. Arif Masud

Professor

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Biography

Arif Masud is a professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Grainger College of Engineering and the Carle-Illinois College of Medicine. His research primarily addresses contemporary scientific problems, focusing on areas such as mechanics computations that involve multiple interacting physical phenomena. His work emphasizes numerical methods grounded in mathematically rigorous frameworks, developing enhanced methods that are scalable and applicable across multifaceted physics phenomena. In particular, Masud's group aims to advance modeling and simulation techniques necessary for investigating core issues tied to sustainability in infrastructure, energy, and health. A significant element of his research includes integrating data-driven approaches with traditional physical methodologies, particularly through Stabilized Variational Multiscale Methods. He has made significant contributions to fluid mechanics, solid mechanics, computational medicine, and additive manufacturing, contributing to a broad range of applications. Masud has received various awards for his work, including the J.N. Reddy Medal and the Ted Belytschko Applied Mechanics Award, and he is actively involved in professional societies, having served as President of both the Society of Engineering Science and the Engineering Mechanics Institute.

Research Interests

Experience

Professor

2010-01-01 — Present

University of Illinois at Urbana-Champaign • Urbana, IL

Conducts advanced research in mechanics computations and interdisciplinary applications across engineering and medicine.

Awards

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J.N. Reddy Medal

2023-01-01
#

Ted Belytschko Applied Mechanics Award

2022-01-01

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.