Dr. Suranjan Panigrahi

Professor

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Biography

Suranjan Panigrahi is a professor at Purdue Polytechnic University, specializing in Electrical and Computer Engineering Technology. He has a comprehensive background in engineering design, artificial intelligence technologies, and their applications in biological systems, sensors, and automation. Panigrahi leads the Integrated Sensing Smart Solutions Laboratory, focusing on developing innovative sensor technologies and intelligent systems for various industries, including agriculture, healthcare, and environmental health. He has published over 170 technical papers and holds several patents in sensory technologies for precision agriculture. Panigrahi’s work includes collaboration on projects aimed at addressing critical societal challenges related to food safety and quality, health informatics, and environmental health. His leadership and research methodologies integrate human-centered engineering design with artificial intelligence, leading him to become a key innovator in his field. He has mentored numerous graduate students and post-doctoral associates who have gone on to successful careers in academia and industry. Panigrahi is recognized for his contributions to research and education in sustainable agricultural practices and advancing sensor technologies.

Research Interests

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.