I am a Computer Engineering graduate with a strong background in software engineering, applied AI, and intelligent system design.
My work focuses on building scalable, real-world systems that combine AI, computer vision, IoT, and embedded technologies.
Currently, I work on transformer-based object detection models, integrating environmental data such as weather information into computer vision pipelines to improve robustness under real-world conditions.
In parallel, I am actively involved in IoT and Smart Agriculture projects, working with sensor-based systems such as temperature, humidity, and pressure sensors, along with embedded platforms like Arduino, to design intelligent monitoring solutions for agriculture and food industry applications.
Multimodal Object Detection on Thermal Images Using Transformer Architecture and Weather Information
This work focuses on improving object detection in thermal imagery by integrating environmental data such as temperature and humidity into transformer-based architectures.
The goal is to enhance model robustness under environmental and seasonal domain shifts.
- Contributor to CDlib (Community Discovery Library)
- Worked on the implementation of spectral clustering algorithms for network analysis
- Computer Vision & Vision Transformers
- DETR & Deformable DETR
- Multimodal Learning
- Thermal Image Analysis
- Domain Shift Robustness
- IoT Systems & Sensor Networks
- Smart Agriculture
- AI-driven Monitoring Systems
- Publishing research in IEEE conferences
- Building robust AI systems for real-world environments
- Integrating AI + IoT for smart agriculture
- Bridging academic research with industrial solutions
- 📧 Email: k.mehravar73@gmail.com
- 📧 University Email: k.mehravar@studenti.unipi.it