Dr. Adam Bekit

Assistant Professor

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Biography

Adam Bekit brings a strong academic foundation and extensive technical expertise to the fields of artificial intelligence and machine learning (AI/ML). With years of experience leading research and development for the U.S. Department of Defense (DoD), his work spans AI/ML, signal processing, algorithm design, data fusion, and object tracking, with a focus on advancing Decision Dominance capabilities. As a creative problem solver and innovative researcher, Bekit develops cutting-edge technologies and concepts to address the nation’s complex and evolving technical challenges. He shares his expertise as a lecturer on advanced topics such as Deep Learning, Generative AI, Language Models, and Probability Stochastic Processes. Bekit is a proud member of the Johns Hopkins University (JHU) Data Science Artificial Intelligence (DSAI) Institute.

Research Interests

Awards

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DoD Achievement Award

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Leadership Excellence Award

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DoD Outstanding Team Achievement Award

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DoD Innovation Workplace Award

Courses

New Deep Learning Generative Artificial Intelligence 525.671

Requirements for Johns Hopkins University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree Inorganic Chemistry with Lab Organic Chemistry with Lab General Biology with Lab
Application Checklist
  • Online application
  • Official transcripts
  • CV
  • Personal statement
  • Three letters of recommendation
Specialization Notes

Department of Pathology - PhD in Pathobiology. GRE is not required.