Research

I direct the Data Systems Lab at ASU (DataSys@ASU). The main mission of DataSys@ASU is designing and developing data management systems (e.g., database systems) that: (1) Enable new emerging applications (e.g., recommender systems, location-based services, social networking, mobile applications), new data types (e.g., spatial data, graph data), and new workload. (2) Support non-traditional computing paradigms (e.g., Cloud computing, Cluster computing) and new hardware system architectures (e.g., flash memory storage, non-volatile memory). Below are my publications listed in chronological order. You may also check my publications on DBLP or Google Scholar

  • Year 2017
    • Indexing the Pickup and Drop-off Locations of NYC Taxi Trips in PostgreSQL – Lessons from the Road [PDF], with Jia You. To appear in proceedings of the International Symposium on Spatial and Temporal Databases, SSTD 2017, in Washington D.C. August 2017 
    • [Vision Paper] On Designing GeoViz-Aware Database Systems – Challenges and Opportunities [PDF], with Arnab Nandi. To appear in proceedings of the International Symposium on Spatial and Temporal Databases, SSTD 2017, in Washington D.C. August 2017 (CCC Blue Sky Award for Best Vision Papers, 3rd place)
    • Database Systems Support for Personalized Recommendation Applications  [PDF], with Raha Moraffah, Mohamed F. Mokbel, and James L. Avery. To appear in proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2017, in San Diego, CA April 2017
    • [Demo Paper] Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond  [PDF], with Jia Yu and Raha Moraffah. To appear in proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2017, in San Diego, CA April 2017
    • [Short Paper] Answering Location-Aware Graph Reachability Queries on GeoSocial Data  [PDF], with Yuhan Sun. To appear in proceedings of the IEEE International Conference on Data Engineering, IEEE ICDE 2017, in San Diego, CA April 2017
    • On Evaluating Social Proximity-Aware Range Queries [PDF], with Yuhan Sun. To appear in proceedings of the IEEE International Conference on Mobile Data Management, IEEE MDM 2017, in Daejeon, South Korea May 2017
  • Year 2016
    • Two Birds, One Stone: A Fast, yet Lightweight, Indexing Scheme for Modern Database Systems [PDF], with Jia Yu. in proceedings of the Very Large Data Bases Endowment, PVLDB 2016, Volume 10, issue 4.  To be presented in VLDB 2017 in Munich Germany
    • [Demo Paper] A Demonstration of GeoSpark: A Cluster Computing Framework for Processing Big Spatial Data [PDF], with Jia Yu and Jinxuan Wu. in Proceedings of the IEEE International Conference on Data Engineering IEEE ICDE 2016, Helsinki, Finaland May 2016
  • Year 2015
    • [Short Paper] GeoSpark: A Cluster Computing Framework for Processing Large-Scale Spatial Data [PDF], with Jia Yu and Jinxuan Wu. in proceedings of the ACM International Conference on Advances in Geographic Information Systems ACM SIGSPATIAL GIS 2015, Seattle, WA, USA November 2015  
    • Recathon: A Middleware for Context-Aware Recommendation in Database Systems  [PDF], with James L. Avery and Mohamed F. Mokbel. in proceedings of the IEEE International Conference on Mobile Data Management MDM 2015, Pittsburgh, PA, USA June 2015  (Best Research Paper Award)
    • [Invited Paper] Interactive and Scalable Exploration of Big Spatial Data – A Data Management Perspective [PDF]in proceedings of the IEEE International Conference on Mobile Data Management MDM 2015, Pittsburgh, PA, USA June 2015
    • [Book Chapter] Context-Awareness in Mobile Systems  [PDF], with Jie Bao, Amr Magdy, Chi-Yin Chow, Justin J. Levandoski, and Mohamed F. Mokbel. To appear in Data GeoSpark_GIS2015 geosparkpaperManagement in Pervasive Systems Book, Springer Verlag, Data-Centric Systems and Applications Book Series, 2015
    • [Book Chapter] Collaborative Filtering  [PDF], with Mohamed F. Mokbel. To appear in Encyclopedia of Database Systems, second edition, 2015, Editors: Tamer Ozsu and Ling Liu
    • [Book Chapter] Recommender Systems  [PDF]with Mohamed F. Mokbel. To appear in Encyclopedia of Database Systems, second edition, 2015, Editors: Tamer Ozsu and Ling Liu
    • [Tutorial Abstract] MobiSocial (Mobile and Social) Data Managementwith Mohamed F. Mokbel. to appear in the IEEE International Conference on Cloud Engineering IC2E 2015, Tempe, Arizona, USA, March, 2015
  • Year 2014
    • [Demo Paper] A Demonstration of MNTG – A Web-based Road Network Traffic Generator [PDF] [Project Website], with Mohamed F. Mokbel, Jie Bao, Ahmed Eldawy, Amr Magdy, Louai Alarabi, Ethan Waytas, and Steven Yackel. in Proceedings of the 30th International Conference on Data Engineering ICDE 2014, Chicago, IL, USA April 2014 
    • SMILE: A Data Sharing Platform for Mobile Apps in the Cloud [PDF], with Jagan Sankaranarayanan, Hakan Hacigumus, and Haopeng Zhang. in Proceedings of the 17th International Conference on Extending Database Technology EDBT 2014, Athens, Greece March, 2014
    • LARS*: A Scalable and Efficient Location-Aware Recommender System [PDF], with Justin J. Levandoski, Ahmed Eldawy, and Mohamed F. Mokbel. in IEEE Transactions on Knowledge and Data Engineering TKDE 2014. (Special issue on best papers of ICDE 2012)
    • Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation [PDF]with Rana Forsati, Mehrdad Mahdavi, and Mehrnoush Shamsfard. To appear in ACM Transactions on Information Systems TOIS 2014
    • [Thesis] Database Systems Support for Collaborative Filtering Recommender Systems [PDF], University of Minnesota
  • Year 2013
    • Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs [PDF], with Sameh Elnikety, Yuxiong He, and Mohamed F. Mokbel, in PVLDB Vol. 6 Issue. 14, PVLDB 2013, presented in the 40th International Conference on Very Large Databases VLDB 2014, Hangzhou, China, Sept, 2014
    • [Tutorial Abstract] Mobility and Social Networking: A Data Management Perspectivewith Mohamed F. Mokbel. in Proceedings of the 39th International Conference on Very Large Databases VLDB 2013, Riva Del Garda, Italy, August, 2013
    • [Demo Paper] RecDB in Action: Recommendation Made Easy in Relational Databases [PDF] [Poster] [Source Code] [Project Website] [Demo Video], with James Avery, and Mohamed F. Mokbel. in Proceedings of the 39th International Conference on Very Large Databases VLDB 2013, Riva Del Garda, Italy, August, 2013
    • MNTG: An Extensible Web-based Traffic Generator [PDF] [Project Website], with Mohamed F. Mokbel, Jie Bao, Ahmed Eldawy, Amr Magdy, Louai Alarabi, Ethan Waytas, and Steven Yackel. in Proceedings of the 13th International Symposium on Spatial and Temporal Databases SSTD 2013, Munich, Germany, August 2013
    • Plutus: Leveraging Location-Based Social Networks in Recommending Potential Customers to Venues [PDF], with Ahmed Eldawy, Mohamed F. Mokbel, and John Riedl in Proceedings of the 14th IEEE International Conference on Mobile Data Management MDM 2013, Milan, Italy, June 2013 (Includes NSF $2,400 travel fellowship)
    • [Seminar Abstract] Social Networking and Mobility: A Data Management Perspective [PDF], with Mohamed F. Mokbel. in Proceedings of the 14th IEEE International Conference on Mobile Data Management MDM 2013, Milan, Italy, June 2013
    • Generic and Efficient Framework for Search Trees on Flash Memory Storage Systems [PDF], with Mohamed F. Mokbel, Xun Zhou, and Suman Nath. in the International Journal on Advances of Computer Science for Geographic Information Systems GeoInformatica 2013, vol. 17, no. 3, pp. 417-448, 2013 (Special issue on best papers of SSTD 2011)
  • Year 2012
    • The Anatomy of Sindbad: A Location-Aware Social Networking System [PDF], with Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Amr Magdy, and Mohamed F. Mokbel. in Proceedings of the ACM SIGSPATIAL International Workshop on Location-Based Social Networks LBSN 2012 in conjunction with ACM GIS, Redondo Beach, CA, November 2012
    • RecDB: Towards DBMS Support for Online Recommender Systems [PDF]. in Proceedings of the ACM SIGMOD/PODS PhD Symposium, SIGMOD 2012, Scottsdale, AZ, May 2012 (Includes NSF $1,000 travel fellowship)
    • LARS: A Location-Aware Recommender System [PDF] [Poster], with Justin J. Levandoski, Ahmed Eldawy, and Mohamed F. Mokbel. in Proceedings of the 28th IEEE International Conference on Data Engineering ICDE 2012, Washington D.C., April 2012 (Best of Conference Citation) (includes NSF $725 travel fellowship)
    • [Demo Paper] Sindbad: A Location-based Social Networking System [PDF] [Poster] [Video], with Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Amr Magdy, and Mohamed F. Mokbel. in Proceedings of the ACM International Conference on Management of Data SIGMOD 2012, Scottsdale, AZ, May 2012. Sindbad System received the Best Poster Award in social sciences category award and Best Overall Poster at U-Spatial Symposium
    • [Demo Paper] Horton: Online Query Execution Engine For Large Distributed Graphs [PDF] [Poster], with Sameh Elnikety, Yuxiong He, and Gabriel Kliot. in Proceedings of the 28th IEEE International Conference on Data Engineering ICDE 2012, Washington D.C., April 2012
    • RecStore: An Extensible and Adaptive Framework for Online Recommender Queries inside the Database Engine [PDF], with Justin J. Levandoski, Mohamed F. Mokbel, and Michael D. Ekstrand. in Proceedings of the 15th International Conference on Extending Database Technology EDBT 2012, Berlin, Germany, March 2012 (Includes NSF $1,600 travel fellowship)
  • Year 2011
    • FAST: A Generic Framework For Flash-Aware Spatial Trees [PDF] [UMN CS News], with Mohamed F. Mokbel, Xun Zhou, and Suman Nath. in Proceedings of the 12th International Symposium on Spatial and Temporal Databases SSTD 2011, Minneapolis, MN, August 2011 (Best Research Paper Award)
    • Personalization, Socialization, and Recommendations in Location-based Services 2.0 [PDF], with Mohamed F. Mokbel, Jie Bao, Ahmed ElDawy, and Justin J. Levandoski. in Proceedings of 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases PersDB 2011 in Conjunction with VLDB 2011, Seattle, WA, September 2011 (Includes Google $500 travel fellowship)

Proudly supported by:

NSF