Dr. Ferda Ofli is a senior scientist in Qatar Computing Research Institute's Social Computing group since 2014. Before joining QCRI, he was a postdoctoral researcher in the Teleimmersion Lab working with Prof. Ruzena Bajcsy at the University of California, Berkeley, CA, USA from 2010 to 2014. He received BSc degrees both in Electrical and Electronics Engineering and Computer Engineering, and a PhD degree in Electrical Engineering from Koc University, Istanbul, Turkey, in 2005 and 2010, respectively. Dr. Ofli pursued his PhD work in the Multimedia, Vision and Graphics Laboratory (MVGL) at Koc University under the supervision of Prof. Engin Erzin, Prof. Yucel Yemez and Prof. Murat Tekalp. Dr. Ofli's research interests cover computer vision, machine learning, and multimedia signal processing. He is a senior member of IEEE and ACM with over 60 publications in refereed conferences and journals including CVPR, ECCV, and PAMI. He won the CVPR Outstanding Reviewer Awards in 2020 and 2021, the ISCRAM Best CoRe Paper Award in 2020, the ISCRAM Best Insight Paper and Best Paper Runner-up Awards in 2019, the ISCRAM Best Paper Runner-up Award in 2017, the Elsevier JVCI Best Paper Award in 2015, and the IEEE SIU Best Student Paper Award in 2011. He also received the Graduate Studies Excellence Award in 2010 for his outstanding academic achievement at Koc University.
Dr. Ofli's research interests span computer vision, machine learning and multimedia signal processing. His current research focuses on using deep learning techniques on Internet image data, created and annotated by online communities, to improve object recognition and scene understanding. Specific areas of interest include (i) understanding health habits from profile pictures and food photos, and (ii) extracting actionable information from imagery content for crisis response and management.
Social Computing Group, Qatar Computing Research Institute; Doha, Qatar.
2019 - PresentSocial Computing Group, Qatar Computing Research Institute; Doha, Qatar.
2014 - PresentDepartment of Electrical Engineering and Computer Sciences; University of California, Berkeley, CA, USA.
2010 - 2014College of Engineering; Koc University, Istanbul, Turkey.
2005 - 2010College of Engineering; Koc University, Istanbul, Turkey.
2005 - 2010Koc University; Istanbul, Turkey
2010Koc University; Istanbul, Turkey
2005Koc University; Istanbul, Turkey
2005Learning Program Representations for Food Images and Cooking Recipes; IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2022.
2022Non-traditional Data Sources: Providing Insights into Sustainable Development; Communications of the ACM (CACM), 64(4):88–95, 2021.
2021Detecting natural disasters, damage, and incidents in the wild; European Conference on Computer Vision (ECCV). 2020.
2020Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques; ACM Journal on Computing and Cultural Heritage (JOCCH). 2020.
2020Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions; Information Processing and Management (IPM). 2020.
2020Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
2019How to Make a Pizza: Learning a Compositional Layer-based GAN Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2019.
2019Identifying Disaster Damage Images Using a Domain Adaptation Approach, International Conference on Information Systems for Crisis Response and Management (ISCRAM); 2019.
2019CrisisMMD: Multimodal Twitter Datasets from Natural Disasters, International AAAI Conference on Web and Social Media (ICWSM), 2018.
2018Processing Social Media Images by Combining Human and Machine Computing during Crises, International Journal of Human-Computer Interaction (IJHCI); 2018.
2018Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment, IEEE International Conference on Data Science and Advanced Analytics (DSAA); 2017.
2017Damage Assessment from Social Media Imagery Data During Disasters, International Conference on Advances in Social Networks Analysis and Mining (ASONAM); 2017.
2017Learning Cross-modal Embeddings for Cooking Recipes and Food Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017.
2017Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media, International AAAI Conference on Web and Social Media (ICWSM); 2017.
2017Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health; International World Wide Web Conference (WWW).
2017Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response; Big Data Journal (Big Data); 2016.
2016