Dr. Jayanth Raghothama

Associate Professor

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Biography

Jayanth Raghothama is an Associate Professor at KTH Royal Institute of Technology. His research focuses on building models to improve decision-making in complex processes, particularly within healthcare. His research interests include Complex Systems, Healthcare, Policy Design, and the philosophy of games and simulations. He has teaching responsibilities for courses on Applied Machine Learning at various academic levels including Bachelors, Masters, and PhD. Additionally, he teaches modules on Simulation Thinking, Agent-Based Modeling, AI/ML ethics, and Health Informatics Logistics. In 2017, he completed his PhD at KTH and has an extensive background in the software industry and think tanks, including experience in urban planning, transportation, energy, agriculture, and disaster management. He is also the Vice Director of the Digitalization Platform at KTH.

Research Interests

Complex Systems Healthcare Policy Design Philosophy of Games Simulations

Experience

Associate Professor

— Present

KTH Royal Institute of Technology • Sweden

Conducting research and teaching in various domains including applied machine learning and healthcare.

Courses

Applied Machine Learning Artificial Intelligence Simulation Thinking Agent-Based Modeling AI/ML Ethics Health Informatics Logistics

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).