Aryan Kashyap Naveen

About

Computer Science graduate student with research experience in geospatial foundation models, computer vision and EEG analysis. Interested in applied machine learning, deep learning, and research-driven systems work.

Experience

• Research Intern
  Centre for Brain Research, Indian Institute of Science Bangalore
  Jun 2025 – Aug 2025

Education

• Master of Science in Computer Science
  New York University Courant
  Computer Science · Sep 2026 – May 2028
• Bachelor of Technology in Artificial Intelligence
  National Institute of Technology - Karnataka, Surathkal
  Artificial Intelligence · Nov 2022 – May 2026

Skills

• Python
• Django
• OpenCV
• PyTorch
• TensorFlow
• Anaconda
• CUDA
• C/C++

Projects

• AutoOEP - A Multi-modal Framework for Online Exam Proctoring
  Computer Vision, LSTMs

  Developed a lightweight exam proctoring framework using a dual-camera setup and computer vision modules. Paper accepted to the CVPR CV4Edu Workshop.

• CryoGEM-DDPM - Synthetic Data Generation for Cryo-EM Micrograph ↗
  Diffusion Models

  Augmented the CryoGEM framework with Denoising Diffusion Probabilistic Models for high-fidelity Cryo-EM micrograph synthesis and achieved an FID score of 109.06.

• Is the Spatial Structure as Important as Temporal Structure in EEG Signals? ↗
  Transformer

  Investigated the context-dependent nature of temporal vs. spatial information in EEG signals using a Transformer-based framework. First-authored paper presented at ICVGIP 2025, IIT Mandi.

• A Composition Aware Pretraining Framework for Geospatial Foundation Models
  Geospatial foundation models, self-supervised learning, optimal transport

  Developed a novel composition-aware self-supervised training objective based on optimal transport theory to address the single concept lens bottleneck in existing geospatial foundation models. Outperformed SatMAE and Prithvi-EO-2.0 on region-level tasks and achieved nearly doubling baseline mAP@10 on ForestNet-12. Paper accepted to ACM SIGSPATIAL 2026.

🏆 Achievements & awards

• India AI Fellowship Recipient · 2025

  Granted 3000 USD in funding to carry out a project on satellite image object search.

• NCIIPC Startup India AI Grand Challenge Finalist · 2025

  Selected to compete at IIT Delhi as a finalist for anomaly detection in hyperspectral images.

• e-Yantra Robotics Competition IIT-B 2023-24 · 2024

  Qualified Stage 2 and built a Vanguard Bot to navigate a hazard-prone area using image processing, Inception-ResNetv2, GIS, and esp32.

⚽ Extracurricular activities

• Web Enthusiasts’ Club NITK

  Executive Member; took sessions on CNNs and Reinforcement Learning for 1st and 2nd year students.

• Institution of Engineers NITK

  Research Coordinator; organized the Innovation Week event with 200+ attendees and 12 speakers.