Farshad Farahnakian profile picture
Farshad
Farahnakian
Doctoral Researcher, ​Department of Computing
Doctoral Researcher, Data analytics
Project Researcher / Data Analytics / Doctoral Researcher
Department of Computing

Areas of expertise

Machine Learning
Deep Learning
Computer Vision
Sensor Fusion
Data Analysis
Autonomous Systems
Human-Computer Interaction
Interface Design
and Cloud Computing.

Biography

Farshad is a doctoral researcher at the University of Turku with a strong background in computer science and electrical engineering. His passion for applying machine learning to real-world problems led him to his current research focus on developing AI solutions for the maritime industry. As part of the EU-funded AI-ARC project, Farshad leverages his expertise in computer vision and big data analysis to tackle intricate challenges in ship navigation. Farshad holds a Bachelor's degree in Electrical and Electronics Engineering (2016) and a Master of Science in Engineering from Tallinn University. He enjoys staying up-to-date on the latest advancements in technology through podcasts.

Teaching

In spring semester (2024), I had 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 installation of necessary libraries for running python scripts.
3. Delivering lectures on sensor fusion topics.

Research

Currenctly, I am working on a project name "AI-ARC" founded by European Commission. The main objective of the AI-ARC proposal is to create an innovative, robust, efficient, and user-friendly artificial intelligence (AI) based- platform for coast and border guards, which allows traditional and VR-based interfaces to adapt to users’ preferences in terms of information management, anomaly detection, risk analyses and interoperability; in order to realize a comprehensive surveillance system that delivers powerful sensor fusion based situational awareness for decision making, and safety for all maritime actors.


Publications

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