| 2024 | FUSION | Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. | Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen |
| 2024 | ICPR | Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the ramo Mine, Spain. | Fahimeh Farahnakian, Farshad Farahnakian, Javad Sheikh, Steven Downey, Vaughan Williams, Jukka Heikkonen |
| 2024 | ICPR | SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. | Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen |
| 2024 | IGARSS | A Comparative Study of Machine Learning Models for Pixel-Wise Acid Mine Drainage Classification Using Sentinel-2. | Fahimeh Farahnakian, Johanna Torppa, Nike Luodes, Hannu Panttila, Teemu Karlsson |
| 2023 | CRITIS | Short and Long Term Vessel Movement Prediction for Maritime Traffic. | Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen |
| 2023 | FRUCT | Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. | Dipak Kumar Nidhi, Iiro Sepp, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth |
| 2023 | FUSION | Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. | Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitknen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen |
| 2020 | FUSION | Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks. | Fahimeh Farahnakian, Jukka Heikkonen |
| 2020 | ICMLA | A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. | Fahimeh Farahnakian, Jukka Heikkonen |
| 2019 | FUSION | Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment. | Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Dimitrios Makris, Jukka Heikkonen |
| 2018 | ICMLA | Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. | Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen |
| 2014 | CloudCom | Hierarchical VM Management Architecture for Cloud Data Centers. | Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen |
| 2014 | PDP | Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning. | Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila |
| 2013 | UCC | Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. | Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila |
| 2009 | CIS | Reinforcement Learning for Soccer Multi-agents System. | Fahimeh Farahnakian, Nasser Mozayani |
| 2008 | CIS | Learning through Decision Tree in Simulated Soccer Environment. | Fahimeh Farahnakian, Nasser Mozayani |