Dr. Ferda Ofli

Social Computing
" I have always been intrigued by new challenges as they provide the best opportunities to make progress in life. By joining QCRI, I accepted the challenge to help build a strong research institute that strives for pursuing world-class research to advance science and technology in the interest of society in a happening part of the World, Qatar.

Research Focus at QCRI

Dr. Ferda 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.

Previous Experience

Dr. Ferda Ofli is a Scientist at Qatar Computing Research Institute's Social Computing group. Before joining QCRI in 2014, Dr. Ofli was a postdoctoral researcher in the Teleimmersion Lab working with Prof. Ruzena Bajcsy at the University of California, Berkeley (UCB). He received B.Sc. degrees both in Electrical and Electronics Engineering and Computer Engineering, and the Ph.D. degree in Electrical Engineering from Koç University, Istanbul, Turkey, in 2005 and 2010, respectively. Dr. Ofli pursued his Ph.D. work in the Multimedia, Vision and Graphics Laboratory (MVGL) at Koç University under supervision of Prof. Engin Erzin, Prof. Yücel Yemez and Prof. A. Murat Tekalp. He received the Graduate Studies Excellence award in 2010 for outstanding academic achievement at Koç University. Dr. Ofli is a member of IEEE and ACM.

Professional Experience

  • 2010 - 2014 Postdoctoral Researcher, University of California – Berkeley, Berkeley, CA
  • 2005 - 2010 Research Assistant, Koc University, Istanbul, Turkey

Professional Associations and Awards

  • 2017: Best Paper Award Runner Up; International Conference on Information Systems for Crisis Response and Management (ISCRAM); Albi/France
  • 2015; Best Paper Award; Elsevier Journal of Visual Computing and Image Representation;
  • 2011; Alper Atalay Best Student Paper Award, 2nd place; IEEE Signal Processing and Communication Application Conference (SIU); Antalya/Turkey
  • 2010; Graduate Studies Excellence Award; Koç University; Istanbul/Turkey
  • 2006/2010; PhD Fellowship; The Scientific and Technological Research Council of Turkey (TUBITAK); Istanbul/Turkey
  • 2006; PhD Twinning Fellowship; European FP6 Network of Excellence SIMILAR;
  • 2005/2006; Graduate Scholarship; Koç University; Istanbul/Turkey
  • 2000/2005; Undergraduate Scholarship; Koç University; Istanbul/Turkey

  • IEEE Transactions on Multimedia; IEEE Transactions on Visualization and Computer Graphics; IEEE Transactions  on  Audio, Speech and Language Processing; IEEE Transactions on Circuits and Systems for Video Technology; IEEE Transactions on Human-Machine Systems; IEEE Multimedia; Machine Vision and Applications; Signal Processing: Image Communication; International Journal of Advanced Robotic Systems; Journal of Electronic Imaging.
  • ISCIS'10, ISCIS'11, ACII'13, IVMSP'13, ICNC'14, MICCAI'14.


  •   IEEE S'07-M'11
  •    ACM M'10


  •         Ph.D. in Electrical and Electronics Engineering, Koc University, Istanbul, Turkey, 2010
  •         B.S. in Electrical and Electronics Engineering, Koc University, Istanbul, Turkey, 2005
  •         B.S. in Computer Engineering, Koc University, Istanbul, Turkey, 2005

Selected Research

  • A. Salvador, N. Hynes, Y. Aytar, J. Marin, F. Ofli, I. Weber, A. Torralba: Learning Cross-modal Embeddings for Cooking Recipes and Food Images; CVPR 2017
  • D. T. Nguyen, F. Alam, F. Ofli, M. Imran; Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises, ISCRAM 2017
  • H. Haddadi, F. Ofli, Y. Mejova, I. Weber, J. Srivastava, “360 Quantified Self,” ICHI, 2015.
  • F. Ofli, G. Kurillo, S. Obdrzalek, R. Bajcsy, H. Jimison, M. Pavel, “Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned,” JBHI, 2015.
  • F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, R. Bajcsy, “Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition,” JVCI, 25(1):24-28, 2013.
  • F. Ofli, E. Erzin, Y. Yemez, A. M. Tekalp, “Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis,” TMM, 14(3):747–759, 2012.
  • F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, R. Bajcsy, “Berkeley MHAD: A Comprehensive Multimodal Human Action Database,” WACV, 2013.
  • R. Chaudhry, F. Ofli, G. Kurillo, R. Bajcsy, R. Vidal, “Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition,” CVPRW, 2013.
  • Q. Wang, G. Kurillo, F. Ofli, R. Bajcsy, “Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect,” ICHI, 2015.
  • S. Obdrzalek, G. Kurillo, F. Ofli, R. Bajcsy, E. Seto, H. Jimison, M. Pavel, “Accuracy and Robustness of Kinect Pose Estimation in the Context of Coaching of Elderly Population,” EMBC, 2012.

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Download ICS File 27/03/2018 ,

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