Dr. Jayanth Raghothama

Associate Professor

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Biography

Jayanth Raghothama is an Associate Professor at KTH Royal Institute of Technology, specializing in the integration of complex systems into healthcare and policy design through simulations and decision-making models. He holds a Ph.D. from KTH, completed in 2017, and has a diverse background in both academia and the software industry, having previously worked at a think tank in Bangalore. His teaching expertise spans across several courses, including Applied Machine Learning, Simulation Thinking, and Health Informatics, catering to Bachelor's, Master's, and PhD levels. He is also a Vice-Director of the Digitalization Platform. His research interests focus on Complex Systems, Healthcare, Policy Design, and the ethical implications of AI and Machine Learning. Jayanth's work emphasizes the use of models that are simulation-based, data-driven, and participatory, with applications extending to urban planning, transportation, energy, and disaster management.

Research Interests

Complex Systems Healthcare Policy Design Simulation

Courses

Applied Machine Learning Artificial Intelligence (CM2011) Data Mining (CM1001) Data Mining Performance Analysis (CM2007) Healthcare Ethics, Legal and Social Impact (CM2029) Project Carrier Course for Medical Engineers, part 2 (CM2016) Simulation Methods in Medical Engineering (CM2014)

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).