Teaching:

• 2024: Lecturer of “ Computer vision and sensor fusion”, University of Turku, Finland.
• 2023: Lecturer of “ Computer vision and sensor fusion”, University of Turku, Finland.
• 2022: Lecturer of “Deep learning in computer vision and sensor fusion”, University of Turku, Finland.
• 2021: Co-lecturer of “Machine Learning and Pattern Recognition”, University of Turku, Finland.
• 2020: Lecturer of “Artificial intelligent Business Academy (AIBA) course”, University of Turku, Finland.
• 2020: Lecturer of “Deep learning in computer vision and sensor fusion”, University of Turku, Finland.
• 2020: Tutorial on “Deep Convolutional Neural Networked-based Multisensor Fusion for Computer Vision:Opportunities and Challenges”, Fusion conference. 
• 2019: Lecturer of “Artificial intelligent Business Academy (AIBA) course”, University of Turku, Finland.
• 2018: Co-lecturer of “Machine Learning and Neural Networks”, University of Turku, Finland.
• 2017: Co-lecturer of “Machine Learning and Neural Networks”, University of Turku, Finland.
• 2014: Co-lecturer of “Energy-efficiency embedded electronics”, University of Turku, Finland.
• 2014: Co-Lecturer of “Capstone Project”, University of Turku, Finland.
• 2008-2011: Lecturer of “Basic and Advanced Programming”, Azad University of Tiran, Iran.
• 2008-2011: Lecturer of “Data Structure and analysis”, Islamic Azad University of Najafabad,
• 2008-2011: Lecturer of “Artificial Intelligence”, Azad University of Tiran, Iran.
• 2008-2011: Lecturer of “Machine Learning and Pattern Recognition”, Azad University of Tiran, Iran.
• 2008-2011: Lecturer of “Expert System”, Azad University of Dolatabad , Iran.
• 2008-2011: Lecturer of “Data Analysis”, Azad University of Dolatabad , Iran.

Thesis supervision:

• Phd.Thesis: Rami Ilo, Addressing Imbalanced Data for Mineral Prospectivity Mapping  using Machine Learning, 2024.
• Phd.Thesis:  Luca Zelioli, Leveraging Machine Learning for Maritime Object Detection and Peatland Classification, University of Turku, Finland, 2022-2024.
• Phd.Thesis: Kalliovaara Juha, Predictive maritime situational awareness models for object detection and tracking, University of Turku, Finland, 2022-current.
• Phd.Thesis: Javad Sheikh, On Implementing a Research Platform to Enable Autonomous Operation of Maritime Vessels, University of Turku, Finland, 2022-current.
• MSc.Thesis: weather image data augmentation with generative adversarial networks, University of Turku, Finland, 2022-2023.
• MSc.Thesis: Driver drowsiness detection, University of Tallinn, Estonia, 2021.
• MSc.Thesis: Lane/road Detection  in autonomous cars, University of Turku, Finland, 2021.
• MSc.Thesis: Collisions Detection using virtual environments in autonomous cars, University of Turku, Finland, 2021.
• MSc.Thesis: AT-CNN-LSTM Facial Micro-expression Recognition and its Application in Educational Scene, Fudan University of Technology, China, 2019.
• MSc.Thesis: The Research and improvement for image haze removal algorithm, Fudan University of Technology, China, 2018.
• Internship student: Sensor fusion for Autonomous Vehicles, University of Turku, Finland, 2018.
• MSc.Thesis: Comparison Study Between Routing Algorithm in Network-on-Chips, University of Turku, Finland, 2013.
• 15 BSc.Thesis: machine learning applications in different real-world problems, Azad University of Tiran, Iran, 2008-2011.

Pedagogical Training:

• Two months intensive courses on “Teach in English” (2-ECTS) from University of Turku, 2015 (completed).
• Two months intensive courses on “University pedagogics” from University of Turku, 2015 (completed).
• Recipient of pedagogical training certificate from the Iran Technical & Vocational Training, 2008 (completed).