Elias Khalil

lyes[at]gatech.edu

Follow @lyeskhalil

I am a Ph.D. student in Computational Science and Engineering at Georgia Tech's College of Computing.

My research interests are in the areas of machine learning, optimization and networks.

I am advised by Professor Bistra Dilkina. I also collaborate with Prof. George Nemhauser and Prof. Le Song.

Prior to GT, I studied for my bachelor's at the American University of Beirut, Lebanon.

News:

• October 2017: I have received the Best Poster Award at the INFORMS Annual Meeting 2017! Check out the poster on "Learning in Discrete Optimization"

• September 2017: Paper accepted to NIPS 2017 for a Spotlight presentation (top 4% of submissions)!

• July 2017: Check out this 3-minute CompSust-2017 lightning talk summarizing my current research: Youtube link.

• May 2017: I have received the Outstanding Poster award for discrete optimization at the NemFest Workshop 2017!

• April 2017: Two papers accepted to IJCAI 2017 (see below)! PDFs coming soon.

• March 2017: I have received an IBM PhD Fellowship for 2017-2018. Thanks IBM!

  
  

  Education:

  • August 2014 - Present
    Ph.D. in Computational Science and Engineering
    Research Areas: machine learning, algorithms, discrete optimization
    Advised by Professor Bistra Dilkina
    Georgia Institute of Technology
  
  
  • August 2012 - May 2014
    M.S in Computer Science
    Specialization: Machine Learning
    Thesis: Optimizing the Structure of Diffusion Networks: Theory and Algorithms
    Georgia Institute of Technology
  
  
  • September 2009 - July 2012
    B.S in Computer Science
    American University of Beirut

  
  

  Research Experience:

  • May 2016 - July 2016
    Research Intern
    IBM Research
    IBM T.J. Watson Research Center - Yorktown Heights, NY
  
  
  • August 2012 - May 2014
    Graduate Research Assistant
    Working with Prof. Polo Chau on graph mining
    algorithms and applications of big data analytics.
    Georgia Institute of Technology - Atlanta, GA
  
  
  • May 2013 - August 2013
    Ph.D-Level Intern
    Symantec Research Labs
    Symantec Corporation - Culver City, CA
  
  

  Publications:

  
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    2017 (5)
  Learning Combinatorial Optimization Algorithms over Graphs. Dai, H.; Khalil, E. B.; Zhang, Y.; Dilkina, B.; and Song, L. In Advances in Neural Information Processing Systems (NIPS), 2017.
  paper   bibtex
  @inproceedings{DaiKhaYuyetal17,
    title={Learning Combinatorial Optimization Algorithms over Graphs},
    author={Dai, Hanjun and Khalil, Elias B. and Zhang, Yuyu and Dilkina, Bistra and Song, Le},
    booktitle={Advances in Neural Information Processing Systems (NIPS)},
    year={2017},
    url_Paper={https://arxiv.org/abs/1704.01665.pdf},
    keywords={machine learning,deep learning,embedding,optimization,search,reinforcement learning}
  }
  
  
  CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. Afshar, A.; Ho, J. C.; Dilkina, B.; Perros, I.; Khalil, E. B.; Xiong, L.; and Sunderam, V. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017.
  bibtex
  @inproceedings{AfsHoDiletal17,
    title={CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data},
    author={Afshar, Ardavan and Ho, Joyce C. and Dilkina, Bistra and Perros, Ioakeim and Khalil, Elias B. and Xiong, Li and Sunderam, Vaidy},
    booktitle={Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems},
    year={2017},
    % url_Paper={https://arxiv.org/abs/1704.01665.pdf},
    keywords={machine learning,tensor factorization}
  }
  
  
  Learning to Run Heuristics in Tree Search. Khalil, E. B.; Dilkina, B.; Nemhauser, G.; Ahmed, S.; and Shao, Y. In 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  paper   bibtex
  @inproceedings{KhaDilNemetal17,
    title={Learning to Run Heuristics in Tree Search},
    author={Khalil, Elias B. and Dilkina, Bistra and Nemhauser, George and Ahmed, Shabbir and Shao, Yufen},
    booktitle = {26th International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2017},
    url_Paper={pdfs/KhaDilNemetal17.pdf},
    keywords={machine learning,optimization,integer programming,search}
  }
  
  
  Learning Feature Engineering for Classification. Nargesian, F.; Samulowitz, H.; Khurana, U.; Khalil, E. B.; and Turaga, D. In 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  bibtex
  @inproceedings{NarSamKhuetal17,
   title={Learning Feature Engineering for Classification},
    author={Nargesian, Fatemeh and Samulowitz, Horst and Khurana, Udayan and Khalil, Elias B. and Turaga, Deepak},
    booktitle = {26th International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2017},
    % url_Paper={pdfs/NarSamKhuetal17.pdf},
    keywords={machine learning,deep learning,feature engineering,classification}
  }
  
  
  Fake News Mitigation via Point Process Based Intervention. Farajtabar, M.; Yang, J.; Ye, X.; Xu, H.; Trivedi, R.; Khalil, E. B.; Li, S.; Song, L.; and Zha, H. International Conference on Machine Learning. 2017.
  paper   bibtex
  @article{FarYanYeetal17,
    title={Fake News Mitigation via Point Process Based Intervention},
    author={Farajtabar, Mehrdad and Yang, Jiachen and Ye, Xiaojing and Xu, Huan and Trivedi, Rakshit and Khalil, Elias B. and Li, Shuang and Song, Le and Zha, Hongyuan},
    journal={International Conference on Machine Learning},
    url_Paper={http://proceedings.mlr.press/v70/farajtabar17a/farajtabar17a.pdf},
    year={2017},
    keywords={machine learning,optimization,reinforcement learning}
  }
  
  
    2016 (3)
  Machine Learning for Integer Programming. Khalil, E. In Proceedings of the Doctoral Consortium at the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI), 2016.
  paper   bibtex
  @inproceedings{Khalil16,
    title={Machine Learning for Integer Programming},
    author={Khalil, Elias},
    booktitle = {Proceedings of the Doctoral Consortium at the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2016},
    url_Paper={http://www.ijcai.org/Proceedings/16/Papers/576.pdf},
    keywords={machine learning,optimization,integer programming,search}
  }
  
  
  Generating Graph Snapshots from Streaming Edge Data (Poster). Soundarajan, S.; Tamersoy, A.; Khalil, E. B.; Eliassi-Rad, T.; Chau, D. H.; Gallagher, B.; and Roundy, K. In International World Wide Web Conference (WWW), 2016.
  paper   bibtex
  @inproceedings{SouTamKhaetal16,
    title={Generating Graph Snapshots from Streaming Edge Data (Poster)},
    author={Soundarajan, Sucheta and Tamersoy, Acar and Khalil, Elias B. and Eliassi-Rad, Tina and Chau, Duen Horng and Gallagher, Brian and Roundy, Kevin},
    booktitle={International World Wide Web Conference (WWW)},
    year={2016},
    url_Paper={pdfs/SouTamKhaetal16.pdf},
    keywords={networks}
  }
  
  
  Learning to Branch in Mixed Integer Programming. Khalil, E. B.; Le Bodic, P.; Song, L.; Nemhauser, G.; and Dilkina, B. In Proceedings of the 30th AAAI Conference on Artificial Intelligence, 2016.
  paper   bibtex
  @inproceedings{KhaBodSonNemDil16,
    title={Learning to Branch in Mixed Integer Programming},
    author={Khalil, Elias B. and Le Bodic, Pierre and Song, Le and Nemhauser, George and Dilkina, Bistra},
    booktitle = {Proceedings of the 30th AAAI Conference on Artificial Intelligence},
    year={2016},
    url_Paper={pdfs/KhaLebSonNemDil16.pdf},
    keywords={machine learning,optimization,integer programming,search}
  }
  
  
    2014 (3)
  Scalable Diffusion-Aware Optimization of Network Topology. Khalil, E. B.; Dilkina, B.; and Song, L. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014.
  paper   bibtex   29 downloads
  @inproceedings{KhaDilSon14,
    title={Scalable Diffusion-Aware Optimization of Network Topology},
    author={Khalil, Elias B. and Dilkina, Bistra and Song, Le},
    booktitle = {Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
    year={2014},
    url_Paper={pdfs/KhaDilSon14.pdf},
    keywords={optimization,supermodularity,diffusion,linear threshold model}
  }
  
  
  Large Scale Insider Trading Analysis: Patterns and Discoveries. Tamersoy, A.; Khalil, E. B.; Xie, B.; Lenkey, S.; Routledge, B.; Chau, D. H.; and Navathe, S. In Social Network Analysis and Mining, 2014. Springer
  paper   bibtex
  @inproceedings{TamKhaXieLenetal14,
    title={Large Scale Insider Trading Analysis: Patterns and Discoveries},
    author={Tamersoy, Acar and Khalil, Elias B. and Xie, Bo and Lenkey, Stephen and Routledge, Bryan and Chau, Duen Horng and Navathe, Shamkant},
    booktitle = {Social Network Analysis and Mining},
    Publisher = {Springer},
    year={2014},
    url_Paper={pdfs/TamKhaXieLenetal14.pdf},
    keywords={finance,insider trading,network analysis}
  }
  
  
  Optimizing the Structure of Diffusion Networks: Theory and Algorithms. Khalil, E. Master's Thesis, Georgia Institute of Technology, April 2014.
  paper   bibtex   2 downloads
  @mastersthesis{Khalil14,
    author = {Elias Khalil},
    title = {Optimizing the Structure of Diffusion Networks: Theory and Algorithms},
    school = {Georgia Institute of Technology},
    year = {2014},
    month = {April},
    url_Paper={https://smartech.gatech.edu/bitstream/handle/1853/55481/KHALIL-THESIS-2014.pdf},
    keywords={optimization,supermodularity,diffusion,linear threshold model}
  }
  
  
    2013 (1)
  CuttingEdge: Influence minimization in networks. Khalil, E. B.; Dilkina, B.; and Song, L. In Workshop on Frontiers of Network Analysis: Methods, Models, and Applications at NIPS, 2013. Best Paper Award.
  paper   bibtex   21 downloads
  @inproceedings{KhaDilSon13,
    title={CuttingEdge: Influence minimization in networks},
    author={Khalil, Elias B. and Dilkina, Bistra and Song, Le},
    booktitle = {Workshop on Frontiers of Network Analysis: Methods, Models, and Applications at NIPS},
    year={2013},
    url_Paper={pdfs/CuttingEdge.pdf},
    bibbase_note = {<font color="green"><b>Best Paper Award</b>.</font>},
    keywords={optimization,supermodularity,diffusion,linear threshold model}
  }
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All Rights Reserved, 2016.