Prakash Naikade 📽
Prakash Naikade

Computer Vision and Machine Learning
Research Engineer

About Me

Prakash Naikade is Computer Vision and Machine Learning Research Engineer. He is passionate about Machine Learning, especially Computer Vision & Generative AI. He has hands on experience from academia and industry. His research interests are in Computer Vision, Computer Graphics, LLMs, Human Computer Interaction, Deep/Machine Learning & Data Science, to solve real world problems with impactful AI aided solutions.
In his free time, he likes to run, bike, hike, watch movies, and listen to music.

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Interests
  • Computer Vision
  • Computer Graphics
  • LLMs
  • Deep/Machine Learning
  • AR/VR, HCI
  • Data Science, AI
Education
  • MSc - Media Computer Science

    Saarland University

  • BEng - Computer Engineering

    Pune University

📚 My Research

I was junior researcher at August-Wilhelm Scheer Institute. I worked on my master thesis at Max Planck Institute for Informatics.

My research interests span in the broad areas of Neural Rendering, Radiance Field Methods, Novel View Synthesis, Motion Capture, 3D-Reconstruction, Scene Understanding, Scene Interaction, Digital Twins, AR/VR, GenAI, LLMs, and generally Computer Vision, Computer Graphics, HCI, Deep/Machine Learning & Data Science, to solve the real world problems with impactful AI aided solutions.

Please reach out to collaborate 😃

📜 Publications
Novel View Synthesis of Structural Color Objects Created by Laser Markings

This work marks the beginning of novel view synthesis for structural color objects and opens up potential avenues for various future research directions and endeavors. Moreover, this thesis will act as a foundational guide for novice researchers interested in exploring the novel view synthesis of specular and shiny objects with high view-dependent colors, commonly referred to as Structural Colors and Pearlescent Colors.

MASTER THESIS
Aug, 2024
Secure Data Storage on Multi-Cloud Using DNA Based Cryptography
D Zingade, S Dhuri, Prakash Naikade, N Gade, A Teke (2015). Secure Data Storage on Multi-Cloud Using DNA Based Cryptography

This paper demonstrates use of DNA based cryptography to ensure secure data storage on multi-cloud to address service availability failure risks and possibilities of malicious attack.

IJAERD
Mar, 2015
📰 Recent News

🧠 Open to work

Looking for Computer Vision and Machine Learning Research Engineer Roles

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