Dr. Arvind Kumar

Associate Professor

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Biography

Arvind Kumar is an Associate Professor at the KTH Royal Institute of Technology, specializing in computational neuroscience. His research centers on the dynamics and information processing properties of neuronal networks, focusing on how network connectivity and dynamics influence information transfer. Through analytical methods and computational models, Arvind aims to develop mathematical frameworks that shed light on brain diseases such as Parkinson's and epilepsy. His methodological approach includes statistical mechanics and control systems theory, aiming for a quantitative understanding of neural activity to assist in the design of brain stimulation protocols. His previous roles included group leadership at the Bernstein Center Freiburg and postdoctoral training at Brown University. Arvind has a background in Communication Engineering and Control Systems, coupled with his doctoral studies in computational neuroscience at the University of Freiburg. Beyond research, he engages in analyzing statistics of cricket games and DNA sequences.

Research Interests

Computational Neuroscience Controllability of Neuronal Networks Network of Networks Synchrony and Oscillations Information Flow in Neuronal Networks Cortico-Basal Ganglia Interactions Neuromodulation Epilepsy Parkinson's Disease Dynamics of Brain Diseases

Experience

Associate Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Leading research in computational neuroscience, focusing on neuronal networks and brain diseases.

Group Leader

— Present

Bernstein Center Freiburg • Freiburg, Germany

Directed research on brain dynamics and information processing.

Postdoctoral Researcher

— Present

Brown University • Providence, RI, USA

Completed postdoctoral training under Prof. Mayank Mehta.

Courses

Introduction to Philosophy of Science Research Methodology (DA2205) Mathematical Modelling of Biological Systems (DD2435) Neuroscience (DD2401) Program Integrating Course in Machine Learning (DD2301) Research: Theory, Method, Practice (FDD3001)

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).