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Karthik Palliyan Manakadavath

M.S. Visual Computing · Universität Siegen, Germany

Siegen, Germany

About Me

I am a graduate student specializing in Visual Computing at Universität Siegen, Germany. My research interests focus on computer vision, virtual reality, and GPU computing. With a strong foundation in computer science and engineering, I am passionate about developing innovative solutions in immersive technologies.

Education

M.S. Computer Science — Specialization in Visual Computing

Universität Siegen, Germany  ·  2025 – Present

B.Tech Computer Science and Engineering

Amrita Vishwa Vidyapeetham, Amritapuri, India  ·  2020 – 2024

Research Publication

Efficient Computing for Immersive VR: Real-Time Panoramic Video Stitching on GPU Platforms

IEEE Xplore · 5th International Conference for Emerging Technology, 2024

  • Implemented feature-based video stitching with GPU-accelerated warping using OpenGL and CUDA
  • Developed advanced FPS analysis technique using SMA and WMA
OpenGLCUDA Computer VisionGPU Computing
View Paper on IEEE Xplore

Funded Research Projects

Undergraduate Researcher at Center for Wireless Networks & Applications (AmritaWNA) under Dr. Uma Gopalakrishnan and Prof. Balaji Hariharan.

Funded By

Dept. of Science & Technology (DST), Govt. of India

Augmented Reality Temple Reconstruction

AmritaWNA  ·  Feb 2023 – May 2024

  • Contributed to design and implementation of AR reconstruction pipelines
  • Low-level graphics and image-processing with OpenGL and OpenCV
OpenGLOpenCV Augmented Reality
View Certificate

Initially Funded By

Amrita Seed Grant

Project subsequently received government funding

Ministry of Earth Sciences (MoES), Govt. of India

Research Grant: ₹43,56,474

Virtual Reality (VR) Enabled Deep-sea Exploration and Resource Identification

Bachelor's Thesis  ·  Jan 2024 – May 2024  ·  AmritaWNA  ·  Guides: Dr. Uma Gopalakrishnan & Prof. Balaji Hariharan

  • Feature-based matching (KNN on SIFT descriptors) and homography-based image registration
  • Cylindrical projection to reduce frame skew; camera calibration for intrinsic estimation
  • CUDA-based acceleration achieving 1.3×–2× speedup
CUDASIFT 360° VRDeep-sea Exploration Camera Calibration
View Thesis Recommendation Letter

Products

⏱️

Study Timer

A Flutter app for focused study sessions with analytics and cross-device sync.

Subject Tags Session Analytics Daily Streaks WiFi Sync Export to Excel
Android Linux Desktop Local WiFi Sync
View on GitHub