Dr. Sunoj Shajahan

Assistant Professor

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Biography

Sunoj Shajahan is an Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois Urbana-Champaign. He received his Ph.D. in Agricultural Biosystems Engineering from North Dakota State University in 2019. His areas of expertise include advanced applications of computer vision, particularly traditional image analysis and deep learning techniques. He is actively involved in remote sensing, focusing on algorithm development for analyzing optical and microwave satellite imagery as well as UAV imagery. His research encompasses geospatial computation aimed at regional-scale analyses to evaluate agricultural trends, and he’s an advocate for precision agriculture through sensor systems and machine performance evaluations. Sunoj's contributions to the field have been recognized with awards such as the ASABE Graduate Student Research Award in 2016 and 2017, and the Superior Paper Award from ASABE in 2017.

Research Interests

Experience

Assistant Professor

2023-01-01 — Present

University of Illinois Urbana-Champaign • Urbana, IL

Teaching and conducting research in the field of Agricultural and Biological Engineering.

Research Associate

2022-01-01 — 2023-01-01

Cornell University • Ithaca, NY

Conducted research in nutrient management.

Postdoctoral Associate

2019-01-01 — 2022-01-01

Cornell University • Ithaca, NY

Focused on nutrient management strategies.

Graduate Research Assistant

2015-01-01 — 2019-01-01

North Dakota State University • Fargo, ND

Assisted in research projects within the Department of Agricultural Biosystems Engineering.

Awards

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ASABE Graduate Student Research Award

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Superior Paper Award

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ASABE Graduate Student Research Award

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.