Kiran Kokilepersaud
Scholar

Kiran Kokilepersaud

Google Scholar ID: 6TEWf8kAAAAJ
PhD Student at Georgia Institute of Technology
Computer VisionMachine LearningSelf Supervised LearningInformation Theory
Citations & Impact
All-time
Citations
143
 
H-index
7
 
i10-index
4
 
Publications
19
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Paper 'HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms' accepted as ORAL presentation at WACV 2025
  • Paper 'AdaDim: Dimensionality Adaptation for SSL Representational Dynamics' under review
  • Accepted to NextProf Workshop, 2024
  • ICIP 2024 Student Travel Grant
  • CSIP Service Award, 2023
  • IEEE Big Data 2023 Student Travel Grant
  • Georgia Tech PhD President's Fellowship, 2020
Research Experience
  • Machine Learning Intern (Camera Algorithms), Apple, May 2025–present
  • Graduate Research Assistant, Georgia Institute of Technology, Sep. 2020–present
  • Mission Systems Research Intern, Johns Hopkins Applied Physics Lab, May 2020–Aug. 2020
  • Research Intern, Maryland Cybersecurity Center, Jan. 2020–Apr. 2020
  • Hardware Engineering Intern, Northrop Grumman, Jun. 2019–Aug. 2019
  • Lead Instructor, iD Tech Camps at American University, Jun. 2018–Aug. 2018
Background
  • Final-year PhD student in the School of Electrical and Computer Engineering at Georgia Institute of Technology
  • Conducts core machine learning research in the OLIVES Lab under Professor Ghassan AlRegib
  • Research focuses on self-supervised learning (SSL) algorithms from both theoretical and application perspectives, using information theory to guide SSL design and explain mechanisms
  • Applications span medical imaging, autonomous driving, seismology, and general machine learning
  • Passionate about machine learning and artificial intelligence with broad interests in the field