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Nikolaos Karianakis

Principal Research Lead at Microsoft

Nikolaos Karianakis is a Principal Research Manager at Microsoft in Redmond, specializing in Computer Vision, Deep Learning, and Artificial Intelligence.35 He leads high-impact engineering and applied AI projects, focusing on large-scale custom solutions.5

Karianakis holds a Ph.D. in Computer Science from the University of California, Los Angeles (UCLA).4 His research interests include:

  1. Computer Vision
  2. Deep Learning
  3. Multimodal Machine Learning
  4. Large Language Models

He has published numerous papers in prestigious conferences such as CVPR, ECCV, and NSDI.1 Some of his notable works include:

  • "Ekya: Continuous learning of video analytics models on edge compute servers" (2022)
  • "SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection" (2022)
  • "Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification" (2018)

Karianakis has also contributed to patents in the field of computer vision and machine learning, such as "Depth-based object re-identification" and "Task-aware recommendation of hyperparameter configurations".1

His work at Microsoft involves addressing challenges in edge computing and machine learning, particularly in dealing with data drift in edge compute models.2 Karianakis is part of the team that developed Ekya, a solution for continuous learning of video analytics models on edge compute servers.2

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Nikolaos Karianakis
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Location

Redmond, Washington, United States