Smart Technology Lab

Summary: University computer vision lab where you work as Research Engineer. Focus: industrial AI applications, vision-language models, academic publications. Complements your startup role with research rigor.

Details

  • Type: University Research Lab (Academic)
  • Your Role: Research Engineer (2022–Present)
  • Focus Areas:
    • Industrial AI (defect detection, quality control, predictive maintenance)
    • Vision-Language Models (VLM: CLIP, BLIP, LLaVA adaptations)
    • Efficient CV architectures for resource-constrained settings
    • Publications — Conference/journal papers
  • Typical Venues: CVPR, ICCV, ECCV, WACV, ICRA, IROS, IEEE T-II

Significance for You

Academic research pillar. Provides:

  • Publication track record — Target: 2-3 first-author papers by Fall 2025
  • LoR sources — Professors who know your research process
  • Collaboration network — Lab alumni at top labs/universities
  • Compute access — University clusters (supplement consumer GPU)

Research Alignment

Your Interest Lab Work
Efficient ViT Industrial deployment constraints
Vision-Language BLIP/LLaVA for industrial VQA
World Models Sim-to-real for robotics/automation
Latent Space VAE/diffusion for anomaly detection

Connection to Projects

  • efficient-vision-transformer — Lab provides publication venue & compute
  • vision-transformer-dsa-integration — Research idea feasible here
  • alphatechlogics — Complementary: lab = papers, startup = product

Related

  • alphatechlogics — Your industry role
  • efficient-vision-transformer — Primary project
  • vision-transformer-dsa-integration — Research derivation

Sources

  • internal-knowledge: Your role / lab context