Pouya Jafar Zadeh
PhD Candidate, Member of DPT Steering Committee and TECH development group of doctoral education
pouya.jafarzadeh@utu.fi Työhuone: Office: 4th floor ORCID-tunniste: https://orcid.org/0000-0002-0918-1464 |
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing
Tutorial and Workshop Organization:
Tutorial of “Deep Learning for Sensor Fusion” , The 16th edition of the IEEE International Symposium on Robotic and Sensors Environments (IEEE ROSE 2023)
Tutorial of “Deep Learning for Multispectral, Multiresolution and Multisensor Data Fusion“, 26TH The International Conference on FUSION (Fusion2023)
Tutorial of “Deep Learning for Data Fusion“, IEEE International Conference on Data Science and Advanced Analytics (DSAA’2021).
Journal Editorial Board:
Editor of the Special Issue on “Deep Learning and Computer Vision in Remote Sensing II“, Deadline for manuscript submissions: 30 January 2023.
Editor of the Special Issue on “Deep Learning and Computer Vision in Remote Sensing“, Deadline for manuscript submissions: 30 November 2021.
Members:
Member of Doctoral Programme in Technology streering committee university of Turku Member of TECH development group university of Turku
Teaching:
Python programming course at university of Turku
- Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)
- Multimedia Tools and Applications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Supporting SME companies in mapping out AI potential: a Finnish AI development case (2024)
- Journal of Technology Transfer
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Deep Learning and Computer Vision in Remote Sensing (2023) Farahnakian Fahimeh, Heikkonen Jukka, Jafarzadeh Pouya
(C2 Toimitustyö tieteelliselle kokoomateokselle) - Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023) 2023 the 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC 2023) Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - IoT-Based Household Energy Consumption Prediction Using Machine Learning (2021) Advances in Industrial Internet of Things, Engineering and Management Jafarzadeh Pouya, Farahnakian Fahimeh, Paalassalo Jari-Pekka, Eerola Osmo
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Pose Estimation of Hurdles Athletes using OpenPose (2021) 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Jafarzadeh Pouya, Virjonen Petra, Nevalainen Paavo, Farahnakian Fahimeh, Heikkonen Jukka
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)