About Me

I am an AI researcher specializing in efficient 3D deep learning and geometric representation learning, with a focus on lightweight, deployable perception systems for robotics and autonomous platforms.

My research aims to bridge the gap between high-performance 3D deep learning models and real-world deployment constraints, particularly on edge devices such as NVIDIA Jetson.

Research

Efficient 3D Deep Learning

Designing lightweight point cloud networks that achieve strong performance with significantly reduced computational cost.

Geometric Representation Learning

Learning structured representations of 3D geometry for classification, segmentation, and scene understanding.

Model Compression & Deployment

Optimizing deep learning models for real-time inference, memory efficiency, and edge deployment.

3D Scene Understanding

Scaling efficient architectures from object-level recognition to large-scale robotic perception tasks.

Publications

• SLNet (ICRA 2026) — Geometry-adaptive lightweight network for 3D point cloud recognition
• NPNet (IEEE IV 2026, Oral) — Non-parametric 3D learning with adaptive Gaussian–Fourier encoding
• ModelNet-R / Point-SkipNet (IPRIA 2025, Oral) — Dataset refinement and efficient graph-based architecture
• NeurIPS 2026 (Under Review) — XXX for lightweight 3D segmentation
• In Preparation — Adaptive anisotropic geometric embeddings for efficient 3D recognition

Experience

Independent Research Collaboration (2024–Present)
3D point cloud learning, efficient deep learning architectures, CUDA optimization, Jetson deployment.

Sirjan University of Technology (2021–Present)
M.Sc. research in AI & Robotics, ranked 1st in cohort (GPA 19.9/20).
Work led to multiple first-author publications in top-tier venues.

Teaching

• Lecturer: Python Programming, English for Computer Science
• Designed ML Bootcamp (based on Andrew Ng ML Specialization)
• Mentored students in ML and research projects
• Organized Kaggle-style competitions and robotics challenges

Academic Service

• Reviewer: IEEE IV 2026
• Workshop Speaker: Transformers in 3D Point Clouds (ICIS 2024)
• AI Scientific Student Association — Secretary

Contact

📧 Email
🎓 Google Scholar
💻 GitHub