Dr. Ferda Ofli

Scientist
Social Computing
4454-1227
" 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

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

Reviewer:
  • 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.

 
Member:

  •   IEEE S'07-M'11
  •    ACM M'10

Education

  •         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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Upcoming Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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Global experts in artificial intelligence for transportation to visit Qatar for TASMU-QCAI workshop

18/11/2018

Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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