Iftekhar Naim

Iftekhar Naim / title image

About Me

I am Iftekhar Naim, a researcher/engineer working in the area of Natural Language Processing and Machine Learning. I completed my PhD from the Computer Science Department at the University of Rochester in December 2015, and joined Google Research. I am from Bangladesh, a beautiful country in South Asia.

My research interest is machine learning and its applications to Natural Language Processing, Bioinformatics, and Computer Vision. My PhD advisor was Dan Gildea. I was also co-advised by Henry Kautz , Ehsan Hoque , and Jiebo Luo. For my masters thesis, I worked on analyzing large scale flow cytometry data with Gaurav Sharma , Tim Mosmann, and Suprakash Datta. My Google scholar profile can be found here.

Research Interests

Machine Learning, Natural Language Processing, Bioinformatics, Computer Vision.

Recent News

  • May 8, 2016: Received Outstanding Dissetation Award Commendation from the University of Rochester!
  • December 7, 2015: Joined Google Research as a Software Engineer - working on natural language understanding.

  • November 20, 2015: Defended my PhD thesis.
  • June 20, 2015: Released the Code/Data for our AAAI 2014 paper on generative video/text alignment.
  • June 1, 2015: Presented our paper on discriminative video/text alignment at NAACL 2015.
  • April 16, 2015: Our work on job interview analysis was mentioned in this Smithsonian Magazine article.
  • March 18, 2015: Released the Code/Data for our NAACL 2013 paper on text alignment for crowd captioning.
  • January 13, 2015: Our paper on job interview prediction got accepted in IEEE FG 2015 conference.
  • July 29, 2014: Presented our paper on generative video/text alignment at AAAI 2014.
  • June 26, 2014: Our patent application got accepted! It's based on my internship work at Bosch Research.
  • Publications

    2016

  • Aligning Movies with Scripts by Exploiting Temporal Ordering Constraints , Iftekhar Naim, Abdullah Al Mamun, Young Chol Song, Jiebo Luo, Henry Kautz, Daniel Gildea. In Proceedings of the 23rd International Conference on Pattern Recognition (ICPR-16), 2016. [pdf]
  • ROC Comment: Automated Descriptive and Subjective Captioning of Behavioral Videos , Mohammad Rafayet Ali, Facundo Ciancio, Ru Zhao, Iftekhar Naim, Mohammed Ehsan Hoque. In Proceedings of the 17th ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) , September, 2016. [pdf]
  • Unsupervised Alignment of Actions in Video with Text Descriptions , Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, and Henry Kautz. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), 2016. [pdf]
  • Unsupervised alignment of natural language with video, Iftekhar Naim, PhD Thesis -- University of Rochester, 2016. [link]
  • 2015

  • Feature-based Decipherment for Large Vocabulary Decipherment , Iftekhar Naim and Daniel Gildea, technical report. [Arxiv]
  • Automated Analysis and Prediction of Job Interview Performance , Iftekhar Naim, M. Iftekhar Tanveer, Daniel Gildea, M. Ehsan Hoque, under review. [Arxiv]
  • Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments , Iftekhar Naim, Young C. Song, Qiguang Liu, Liang Huang, Henry Kautz, Jiebo Luo and Daniel Gildea, accepted for publication in NAACL, 2015. [pdf]
  • Automated Prediction and Analysis of Job Interview Performance: The Role of What You Say and How You Say It, Iftekhar Naim, M. Iftekhar Tanveer, Daniel Gildea, M. Ehsan Hoque, Accepted for publication in IEEE FG 2015 [pdf] [Appendix]
  • 2014

  • Unsupervised Alignment of Natural Language Instructions with Video Segments , Iftekhar Naim, Young Chol Song, Qiguang Liu, Henry Kautz, Jiebo Luo, Daniel Gildea, Accepted for publication in AAAI 2014 [pdf][code/data]
  • Sliding Alignment Windows for Real-Time Crowd Captioning , Mohammad Kazemi, Rahman Lavaee, Iftekhar Naim, and Daniel Gildea, Accepted for publication in ACL 2014 (short paper) [pdf]
  • SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 1: Algorithm design , Iftekhar Naim, Suprakash Datta, Jonathan Rebhahn, James Cavenaugh, Tim Mosmann, Gaurav Sharma, Cytometry Part A , 2014.[paper/supplementary][code]
  • SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 2: Biological evaluation, Tim Mosmann, Iftekhar Naim, Jonathan Rebhahn, Suprakash Datta, James Cavenaugh, Jason Weaver, Gaurav Sharma, Cytometry Part A , 2014.[paper/supplementary]
  • 2013

  • Text Alignment for Real-Time Crowd Captioning, Iftekhar Naim, Daniel Gildea, Walter Lasecki, and Jeffrey Bigham, NAACL , 2013.[pdf][code]
  • Critical Assessment of Automated Flow Cytometry Data Analysis Techniques, Aghaeepour et al. (Iftekhar Naim as a part of Flow Consortium), Nature Methods, 2013. [paper][code/data ]
  • 2012

  • Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients, Iftekhar Naim and Daniel Gildea. In ICML, 2012.[pdf][Appendix] [Talk video] [Slides]
  • 2010

  • SWIFT: Scalable Weighted Iterative Sampling for Flow Cytometry Clustering, Iftekhar Naim, Suprakash Datta, Gaurav Sharma, James S Cavenaugh, Tim R Mosmann. In ICASSP, 2010. [pdf]
  • PhD Dissertation

    Iftekhar Naim, Unsupervised alignment of natural language with video, PhD Thesis, University of Rochester, Rochester, NY [pdf link].

    Contacts

    Email: inaim AT cs DOT rochester DOT edu

    Other Interests

    My hobby is photography, bird watching, and hiking. I also like to play soccer. My favorite team is Manchester United.

    You can check my photographs here:


    Created with Admarket's flickrSLiDR.


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