Farshad
Farahnakian
Contact
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Areas of expertise
Biography
I am a dedicated Remote Sensing Data Scientist specializing in leveraging AI to analyze Earth Observation (EO) data. I translate complex problems, from land cover mapping to change detection, into high-impact, automated solutions. My expertise spans the complete pipeline, from pre-processing petabytes of satellite imagery (GIS, Optical, SAR, LiDAR) to developing and deploying deep learning models for large-scale geospatial analysis.
Prize & Award
- Nokia Foundation Scholarship 2025
- First Prize EUSPA - EU Agency for the Space Program ThinkingEarth Hackathon at BiDS 2025
- Research Paper Award at ICPR2024
- Research Paper Award at CRITIS 2023
- Student Research Paper Competition (3rd place) at TLU 2022
Teaching
Since the spring semester of 2024, I have had the privilege of serving as a Teaching Assistant for the TKO_796 Computer Vision and Sensor Fusion course. My responsibilities encompassed a range of educational support tasks, including:
1. Designing and evaluating course assignments.
2. Assisting students with the installation of necessary libraries for running Python scripts.
3. Delivering lectures on sensor fusion topics.
Research
I am currently working on a project called "USVA," which is funded by Business Finland. The primary goal of the UTU is to develop an innovative, robust, efficient, and user-friendly AI-based platform for detecting anomalies in the Baltic Sea. This initiative aims to create a comprehensive surveillance system that provides advanced sensor-fusion-based situational awareness, enhancing decision-making and safety for all maritime stakeholders.