Mohammed Korayem, Ph.D. 

Data Scientist, CareerBuilder.

mkorayem@indiana.edu

Research

Mohammed’s PhD research studied large scale textual and visual mining in social media under the supervision of Prof. David Crandall. His other research interests include:

• Machine Learning
• Computer Vision
• Text Mining
• Web Mining
• Soft computing

Education

• Indiana University, Ph.D. in Computer Science, 2010-2015
• Indiana University, M.S. in Computer Science, 2013 (on the way to Ph.D.)
• Cairo University, M.S. in Computer Science, 2006
• Cairo University, B.S. in Computer Science, 2002

Publications

Mining online social media

• Tracking Natural Events through Social Media and Computer Vision, in ACM International Conference on Multimedia (MM), 2016, (with J. Wang, S. Blanco, and D. Crandall), [pdf]


• De-anonymizing Users Across Heterogeneous Social Computing Platforms, in the 7^th international AAAI conference on weblogs and social media (ICWSM 2013).  (with David Crandall) [pdf]


• Mining Photo-sharing Websites to Study Ecological Phenomena, in World Wide Web WWW2012.  (with Haipeng Zhang, David J. Crandall and Gretchen Lebuhn) (acceptance rate 12%) [see the project website] [pdf]


• Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities, in Fifth ACM International Conference on Web Search and Data Mining, WSDM2012 , with a plenary presentation (acceptance rate 8.3%).  (with Haipeng Zhang, Erkang You and David J. Crandall) [ See the project website] [pdf]


• Observing the natural world through flickr, in First IEEE International Workshop on Computer Vision for Converging Perspectives (in conjunction with ICCV 2013), (with J. Wang and D. Crandall), [pdf]  Best Paper Award!

First-person and opportunistic imagery

• Enhancing Lifelogging Privacy by Detecting Screens, in CHI 2016 (with D. Crandall, R. Templeman, D. Chen, A. Kapadia) (acceptance rate 23..4%) [pdf] [www] Honorable Mention Award!


• PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces, in NDSS 2014 (with R. Templeman, D. Crandall and A. Kapadia) [pdf]  (acceptance rate 18.6%)


• Objectavoider: Detecting Sensitive Objects in Imagery from Wearable Cameras (Poster), in NDSS 2014 (with D. Crandall and A. Kapadia)

Semantic search and recommendation systems

• The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain, in IEEE DSAA'16 2016, (with Trey Grainger, Khalifeh AlJadda, and Andries Smith) [pdf]


• Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding, in COMPSAC 2016: The 40th IEEE Computer Society International Conference on Computers, Software & Applications ( with Walid Shalaby, Khalifeh Aljadda, and Trey Grainger) (acceptance rate 20%) [pdf]


• Application of Statistical Relational Learning to Hybrid Recommendation Systems, in STARAI 2016 ( with Shuo Yang, Khalifeh Aljadda, ,Trey Grainger, and Sriraam Natarajan )  [pdf]


• Query Sense Disambiguation Leveraging Large Scale User Behavioral Data,in IEEE BigData2015 (with  Khalifeh Aljadda, Camilo Ortiz,  and Trey Grainger) [pdf]


• PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems,  in IEEE BigData2014 (with Khalifeh Aljadda, Camilo Ortiz, Trey Grainger, John Miller, and William York) [pdf]


• Crowdsourced Query Augmentation through Semantic Discovery of Domain-specific Jargon," in IEEE BigData 2014 (with Khalifeh Aljadda, Mohammed Korayem, Trey Grainger, and Chris Russell) [pdf]


• Augmenting Recommendation Systems Using a Model of Semantically-related Terms Extracted from User Behavior,in ACM RecSys2014 CrowdRec workshop, (with Khalifeh Aljadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown and Trey Grainger) [pdf]

Opinion Mining

• Sentiment/Subjectivity Analysis Survey for Languages other than English, in Social Network Analysis and Mining journal, (Springer)(With Khalifeh Aljadda, and David Crandall )[pdf] 


• Subjectivity and Sentiment Analysis of Arabic: A Survey, in Advanced Machine Learning Technologies and Applications, Communications in Computer and Information Science series 322, (Springer), AMLTA 2012 . (with David Crandall , and Abdul-Mageed, M) [pdf] 


• Subjectivity and Sentiment Analysis of Modern Standard Arabic, in proceedings of the 49^th Annual Meeting on Association for Computational Linguistics, ACL2011 (acceptance rate 25%). (with Abdul-Mageed, M. and Diab, M. ) (short paper) [pdf] 


• "Yes we can?": Subjectivity Annotation and Tagging for the Health Domain.The International Conference on Recent Advances in Natural Language Process, RANLP2011.  (with Abdul-Mageed, M. and YoussefAgha, A.) [pdf]


• Linguistic Features, Language Variety, and Sentiment in Arabic Comments on Aljazeera and Alarabiya YouTube Videos. Georgetown University Round Table on Languages and Linguistics, GURT2011. Language and New Media: Discourse 2.0 (with Abdul-Mageed, M. and AlAhmed, A) (presentation)

Captcha

• Solving Avatar Captchas Automatically,in Advanced Machine Learning Technologies and Applications, Communications in Computer and Information Science series 322, (Springer), AMLTA 2012. [pdf] (with Abdallah A. Mohamed, David Crandall , and Roman V. Yampolskiy)


• Learning visual features for the Avatar Captcha Recognition Challenge, in International Conference on Machine Learning and Applications, ICMLA 2012 . [ pdf] (with Abdallah A. Mohamed, David Crandall , and Roman V. Yampolskiy) (short paper)

Genetic algorithms and artificial immune system

• Biclustering of DNA Microarray Data Using Artificial Immune System, in 10th International Conference on Intelligent Systems Design and Applications ISDA2010. [pdf] (with Waleed Abohamad and Khaled Moustafa)


• Optimizing Hidden Markov Models using Genetic Algorithms and Artificial Immune Systems, Computing and Information Systems Journal, Vol 11, Issue 2 (2007). [pdf] (with , Amr Badr, Ibrahim Farag)

Dissertations

• An Immunological Approach to Machine Learning, Master's Thesis, Cairo University, Egypt, 2006


• Social and egocentric image classification for scientific and privacy applications, Ph.D. Thesis, Indiana University, 2015 [pdf]

Citations of my work as compiled by Google Scholar:

http://scholar.google.com/citations?hl=en&user=6NukOWsAAAAJ

Semantics scholar:

https://www.semanticscholar.org/author/Mohammed-Korayem/1775613

Media Coverage

Media covered our paper "Mining Photo-sharing Websites to Study Ecological Phenomena" in:

• Snow Snaps Give You a Better Weather Picture, New Scientist Magazine issue 2863, May 11, 2012
• Snow Snaps Give You a Better Weather Picture, Communications of the ACM website, May 22, 2012

Media covered our paper "PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces," in:

• Not OK, Glass, MIT Technology Review , January 28, 2014
• This Software Flags "Inappropriate" Google Glass Photos FastComapny, January 28, 2014
• Not OK, Glass, Communications of the ACM website, January 28, 2014
• http://www.computerra.ru/92870/placeavoider-for-googleglass/ , January 28, 2014
• This Software Teaches Wearable Cameras To Not Livestream Your Bathroom Visits, FastComapny, January 29, 2014
• PlaceAvoider, una museruola social per Google Glass, Panorama, January 29, 2014
• Seeing as a Service: Forget Augmented Reality. What About Diminished Reality?, Futures Exchange, February 2, 2014
• Blacklisting sensitive spaces PlaceAvoider, identifeye.wordpress.com, February 3, 2014
• Software impede Google Glass de publicar o que 'viu' em banheiros, Canaltech, February 4, 2014
• Augmented Reality: PlaceAvoider software, Wired, February 10, 2014
• PlaceAvoider Puts Life-Logging Privacy/Censorship Issues Front & Center, Turnstylenews, February 10, 2014
• Forget Augmented Reality. What About Diminished Reality?, Gizmodo, February 10, 2014
• Forget Augmented Reality. What About Diminished Reality?, Gizmodo Australia, February 14, 2014

Media covered our paper "ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras," in:

• ScreenAvoider Uses Deep Machine Learning to Keep Digital Displays Private, Motherboard, December 3, 2014 
• Protecting Individual Privacy in World of Wearable Devices, Insurance Journal, December 23, 2014
• SCREENAVOIDER: Lernfähige Selbstzensur zum Schutz der Privatsphäre, golem.de , December, 2014
• IU researchers to study balance between privacy and public use of wearable cameras, IU Bloomington Newsroom, Dec 18, 2014.

Patents / Patent Applications

Granted patents

• Interactive job recommendation and application submission tools of employment website entities.
  Khalifeh Al Jadda, Mohammed Korayem, Brandon Tripp, Amber Soley, and Steve Proell. CareerBuilder-related work.
  U.S. Patent US11775934B2, granted October 3, 2023; continuation US12026677B2, granted July 2, 2024.
• Distribution of candidate information to a recruiter list.
  Khalifeh Al Jadda, Abdel Tefridj, Mohammed Korayem, and Brittany Dunn. CareerBuilder-related work.
  U.S. Patent US10956870B2, granted March 23, 2021.
• Method and system of enforcing privacy policies for mobile sensory devices.
  Apu Kapadia, Robert E. Templeman, David Crandall, and Mohammed Korayem.
  U.S. Patent US10592687B2, granted March 17, 2020.
  Related international application: PCT/US2014/059851.

Provisional application

• Mohammed Korayem, Khalifeh Al Jadda, and Trey Grainger. Methods For Optimizing Recommendation response rate.
  U.S. Provisional Patent Application No.: 62/411,427. Originally filed by CareerBuilder.

Professional Activities

Workshop and conference organization

• Co-organizer, International Workshop on Computational Jobs Marketplace, AAAI 2025.
• Co-organizer, Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, KDD 2022.
• Co-organizer, 2nd International Workshop on Online and Adaptive Recommender Systems (OARS), KDD 2022.
• Co-organizer, First International Workshop on Computational Jobs Marketplace, WSDM 2022.
• Co-organizer, Southern Data Science Conference (SDSC).

Reviewing and professional service

• Reviewed for Language Resources and Evaluation,  Springer
• Reviewed for Computer Methods and Programs in Biomedicine, Elsevier
• Reviewed for Journal of Natural Language Engineering, Cambridge Journals
• Reviewed for Int. J. of Information Technology & Decision Making (IJITDM)
• Reviewed for Social Network Analysis and Mining journal
• Reviewed for IEEE Transactions on Knowledge and Data Engineering
• Reviewed for 2014, 2016 IEEE Conference on Computer Vision and Pattern Recognition
• Reviewed for AMLTA2012, AMLTA2014
• Reviewed for Language Resources and Evaluation, Springer
• Reviewed for International Journal of Artificial Intelligence & Applications (IJAIA)
• Reviewed for The IEEE conference on Industrial Electronics and Applications (ICIEA) 2016
• Judge for UROC@SoIC CS Component Research Poster Symposium , Spring 2013
• Judge for Egypt national ACM contest, 2005 and 2006

Awards

• ACM CHI 2016 Honorable Mention Award for "Enhancing Lifelogging Privacy by Detecting Screens" paper, top 4% submission.    
• Best paper award, The First IEEE International Workshop on Computer Vision for Converging Perspective, held with ICCV 2013
• SOIC Ph.D. student travel award to attend WSDM2012
• SOIC Ph.D. student travel award to attend AMLTA2012
• AAAI student travel award to attend ICWSM2013
• Best graduation project, Cairo University (Faculty of Computers and Information) 2002
• Oracle Egypt award for top students in Faculty of Computers and Information, Cairo university, 2002
• Microsoft Egypt award for top students in Faculty of Computers and Information, Cairo university, 2002