🌐 Researcher in High-dimensional Data Spaces … with a dash of philosophy and curiosity!

Welcome to my GitHub! Here, you’ll find projects that explore the depths of multi-modal data fusion and semantic scene understanding. My work dances on the edge of perception, cognition, and robust decision-making for systems that need a keen sense of context.

• PhD in Data Perception and Synthesis: My thesis dives into the fusion of diverse sensory data, where I tackle challenges like making sense of partial data and understanding complex scenes.
• Best PhD Student Paper Award 🏆: for “Semantics-aware Multi-modal Domain Translation,” exploring ways to make machine understanding more resilient and adaptable.
  – Read the official news release from Halmstad University here.
• Published insights on semantic segmentation and 3D data synthesis – Find my research on Google Scholar.

1. SalsaNext: Crafting a model for ultra-fast, uncertainty-aware data synthesis across diverse input types.
2. RGB Depth Generation: Bridging 2D-3D worlds by creating frameworks that bring together visual depth and context.
3. Pseudo Point Cloud Generation: Pushing boundaries in 3D modeling with pure data-driven synthesis.

• 🎙️ Podcast Episode: Exploring High-dimensional Spaces and More – A deep dive into my research and what drives my passion!
• 📹 Interview on My Thesis: Watch on YouTube – Learn more about my thesis and the exciting world of multi-modal perception.

• I’m passionate about veganism 🌱 and eco-friendly tech 🌍.
• A lover of philosophy and the deeper aspects of human understanding 📖.

• 📫 Email: [email protected]
• 🌐 LinkedIn

Thanks for visiting! 😊 Dive into my projects, and let’s chat if you share an interest in exploring the abstract layers of our data-rich world.