What's Inside Web Templates 2.0.

 

 

 

 

 

 

 

 

 

 

 


 

 



  Keynotes, Tutorials, and Invited Talks


Distinguished Speaker Series        Keynotes        Tutorials        Invited Talks


Distinguished Speaker Series


  1. "Machine Learning for Big Spatial Data and Applications". 60th Anniversary Distinguished Lecture Series, Department of Computer Science, Hong Kong Baptist University, Hong Kong, Jan 2022.

  2. "Machine Learning for Big Spatial Data and Applications". Distinguished Speaker Series, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, Oct 2021.


Keynotes


  1. "Machine Learning for Big Spatial Data and Applications". Hong Kong University of Science and Technology (HKUST) GeoAI Workshop, GeoAI, Hong Kong, Oct. 2023.

  2. "Towards Accurate Open Source Map Services". The IEEE International Conference on Mobile Data Management, IEEE MDM, Singapore, July 2023.

  3. "Machine Learning for Big Spatial Data and Applications". International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, GeoRich, Portland, OR, USA, June 2020.

  4. "Thinking Spatial". The Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM, Beijing, China, July 2017.

  5. "The Era of Big Spatial Data". A Plenary Keynote for three parallel international conferences: IEEE Conference on Big Data and Cloud Computing (BDCloud), IEEE Conference on Social Computing and Networking (SocialCom), and IEEE Conference on Sustainable Computing (SustainCom) Atlanta, GA, October 2016. (Plenary Keynote)

  6. "Location Data Management: A Tale of Two Systems and the Next Destination!". In the International Conference on Very Large Databases, VLDB 2016, New Delhi, India, September 2016. (VLDB 10-Years Best Paper Award Talk)

  7. "The Era of Big Spatial Data". In the 27th Australian Database Conference (ADC), Sydney, Australia, September 2016.

  8. "Towards a Microblogs Data Management System". In the 6th International Workshop with Mentors on Databases, Web and Information Management for Young Researchers, iDB, Nara, Japan, August 2015.

  9. "GIS & The Era of Big Spatial Data". In the 10th National Saudi GIS Symposium, SaudiGIS, Dammam, KSA, May 2015.

  10. SpatialHadoop: A MapReduce Framework for Spatial Data". ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial, 2014, Dallas, TX, Nov., 2014.

  11. "SpatialHadoop: A MapReduce Framework for Spatial Data". In the Korean Conference of GIS, Seoul, South Korea, August 2014.

  12. "SpatialHadoop: A MapReduce Framework for Spatial Data". In the First IQmulus Workshop on Processing Large Geospatial Data, Cardiff, UK, July 2014.

  13. "Towards GIS Innovation in Saudi Arabia". In the 9th National Saudi GIS Symposium, SaudiGIS, Dammam, KSA, April 2014.

  14. " The Anatomy of Sindbad: A Location-based Social Networking System". In ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2012, co-located with ACM SIGSPATIAL GIS, Redondo Beach, CA, November, 2012.

  15. " Personalization, Socialization, and Recommendations in Location-based Services 2.0.". In International ACM Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2011, co-located with ACM SIGMOD, Athens, Greece, June 2011.

  16. " Location Privacy in Casper: A Tale of Two Systems.". In ACM SIGSPATIAL GIS 2009 International Workshop on Security and Privacy in GIS and LBS, SPRINGL 2009, Seattle, WA, Nov, 2009.

  17. " Spatial and Spatio-temporal Data Uncertainty: Modeling and Querying". In ACM SIGSPATIAL GIS 2009 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2009, Seattle, WA, Nov, 2009.


Tutorials
  1. Ibrahim Sabek and Mohamed F. Mokbel " Machine Learning Meets Big Spatial Data". In the IEEE International Conference on Mobile Data Management, MDM 2021, Toronto, Canada, june 2021. (90-minutes).

  2. Ibrahim Sabek and Mohamed F. Mokbel " Machine Learning Meets Big Spatial Data". In the IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 2020. (90-minutes).

  3. Ibrahim Sabek and Mohamed F. Mokbel " Machine Learning Meets Big Spatial Data". In Proceedings of the International Conference on Very Large Databases, VLDB 2019, Los Angeles, CA, USA, August 2019. (90-minutes).

  4. Mohamed F. Mokbel " Machine Learning Meets Big Spatial Data". In the International Symposium on Spatial and Temporal Databases, SSTD 2019, Vienna, Austria, August 2019. (1 hour). (Invited Tutorial).

  5. Ahmed Eldawy and Mohamed F. Mokbel " The Era of Big Spatial Data". In Proceedings of the International Conference on Very Large Databases, VLDB 2017, Munich, Germany, August 2017. (90-minutes).

  6. Amr Magdy and Mohamed F. Mokbel " Microblogs Data Management and Analysis". In ACM International Conference on Management of Data, SIGMOD 2016, San Francisco, CA, June, 2016. (90-minutes).

  7. Ahmed Eldawy and Mohamed F. Mokbel " The Era of Big Spatial Data". In the IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May, 2016. (90-minutes).

  8. Amr Magdy and Mohamed F. Mokbel " Microblogs Data Management and Analysis". In the IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May, 2016. (90-minutes).

  9. Ahmed Eldawy and Mohamed F. Mokbel " The Era of Big Spatial Data". In the IEEE International Conference on Big Data, BigData 2015, Santa Clara, CA, Oct., 2015. (2 hours).

  10. Ahmed Eldawy and Mohamed F. Mokbel " The Era of Big Spatial Data: Challenges and Opportunities". In the 16th IEEE International Conference on Mobile Data Management, MDM 2015, Pittsburgh, PA, June, 2015. (90-minutes).

  11. Mohamed Sarwat and Mohamed F. Mokbel and Mohamed Sarwat " MobiSocial (Mobile and Social) Data Management: A Tutorial". In IEEE International Conference on Cloud Engineering, IC2E 2015, Tempe, AZ, Mar., 2015. (90-minutes).

  12. Mohamed F. Mokbel "SpatialHadoop: A MapReduce Framework for Spatial Data". In the 6th International Workshop with Mentors on Databases, Web and Information Management for Young Researchers, Fukouka, Japan, August 2014. (3 hours). (Invited Tutorial).

  13. Mohamed F. Mokbel and Mohamed Sarwat " Social Networking and Mobility: A Data Management Perspective Presenters". In Proceedings of the International Conference on Very Large Databases, VLDB 2013, Riva Del Garda, Italy, August, 2013. (90-minutes). [PPT]   [PDF]

  14. Mohamed Sarwat and Mohamed F. Mokbel " Social Networking and Mobility: A Data Management Perspective Presenters". In Proceedings of the IEEE International Conference on Mobile Data Management, MDM 2013, Milan, Italy, June 2013. (90-minutes). [PPT]   [PDF]

  15. Mohamed F. Mokbel "Privacy-Preserving Location Services". In IEEE International Conference on Data Mining, IEEE ICDM 2008, Pisa, Italy, Dec 2008. (3 hours).

  16. Mohamed F. Mokbel "Privacy in Location Services: State-of-the-Art and Research Directions". In ACM International Conference on Computer and Communication Security, ACM CCS 2007, Alexandria, VA, Oct, 2007. (90-minutes).

  17. Mohamed F. Mokbel "Privacy in Location-Based Services: State-of-the-Art and Research Directions". In IEEE International Conference on Mobile Data Management, MDM 2007, Mannheim, Germany May 2007. (3 hours).

  18. Mohamed F. Mokbel and, Walid G. Aref, "Location-aware Query Processing and Optimization<". In IEEE International Conference on Mobile Data Management, MDM 2007, Mannheim, Germany May 2007. (90-minutes). (Invited Tutorial).

  19. Mohamed F. Mokbel and, Walid G. Aref, "Location-aware Query Processing". In International Conference on Extending Database Technology, EDBT 2006, Munich, Germany. (90-minutes).



Invited Talks
  • Machine Learning for Big Spatial Data and Applications
    1. Université Libre de Bruxelles (ULB), Brussels, Belgium, May, 2024
    2. Egyptian University of Informatics (EUI), Cairo, Egypt, July, 2023
    3. American University of Cairo (AUC), Cairo, Egypt, May, 2022
    4. Northeastern University, Shenyang, Chine, Mar., 2022 (Online)
    5. Worcester Polytechnic Institute (WPI), Worcester, MA, USA Nov., 2021 (Online)
    6. Qatar University, Doha, Qatar, Feb., 2020
    7. Hong Kong University, Hong Kong, Apr., 2019

  • Thinking Spatial
    1. Nanyang Technological University (NTU), Singapore, July, 2023.
    2. American University of Cairo (AUC), Cairo, Egypt, May, 2022
    3. Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco, Nov., 2021 (Online)
    4. Google, Mountain View, CA, USA, Aug., 2021 (Online)
    5. University of Cyprus, Cyprus, Nov., 2019
    6. University of Pittsburgh, Pittsburgh, PA, Oct., 2019
    7. Microsoft Research Asia, Beijing, China, Jul., 2017
    8. Huawei, Santa Clara, CA, Dec., 2016
    9. Uber, Palo Alto, CA, Dec., 2016

  • QARTA: An ML–Based System for Accurate Map Services
    1. University of Maryland, MD, Apr., 2021 (Online)

  • The Era of Big Spatial Data
    1. China Agriculture University, Beijing, China, Jul., 2017
    2. Qatar Computing Research Institute, QCRI, Doha, Qatar, Oct., 2016
    3. University of Melbourne, Melbourne, Australia, Sep., 2016
    4. University of Iowa, Iowa City, IA, May, 2016
    5. King Fahd University of Petroleum and Mining, Dammam, Saudi Arabia, Mar., 2016
    6. New York University - Abu Dhabi, UAE, Feb 2016
    7. Emory University, Atlanta, GA, USA, Oct., 2015
    8. King Abdulla Univ. of Science and Technology, KAUST, Thuwal, Saudi Arabia, Feb 2015

  • Towards a Microblogs Data Management System
    1. University of New South Wales, UNSW, Sydney, Australia, Sep., 2016

  • SpatialHadoop: A MapReduce Framework for Spatial Data
    1. Seoul National University, Seoul, South Korea, Aug 2014
    2. University of Hagen, Hagen, Germany, Jul, 2014
    3. King Abdulaziz University, Jeddah, KSA, May 2014
    4. Qatar Mobility Innovation Center, QMIC, Doha, Qatar, Feb 2014
    5. Qatar Computing Research Institute, QCRI, Doha, Qatar, Feb 2014
    6. King Abdulla Univ. of Science and Technology, KAUST, Thuwal, Saudi Arabia, Nov 2013

  • Social Networking and Mobility: A Data Management Perspective
    1. Osaka University, Osaka, Japan, Jul, 2014

  • Database Support for Recommender Systems
    1. University of Waterloo, Ontario, Canada, Feb., 2013

  • The Anatomy of Sindbad: A Location-based Social Networking System
    1. Alexandria University, Egypt, Aug 2012
    2. Microsoft Research, Redmond, WA, June 2012

  • Location, Location, Location, …
    1. Microsoft Research, Redmond, WA, Feb 2012
    2. Umm Al-Qura University, Makkah, Saudi Arabia, Nov 2011

  • Personalization, Socialization, and Recommendations in Location-Based Services 2.0
    1. King Abdulla University of Science and Technology, KAUST, Thuwal, Saudi Arabia, Nov 2011
    2. Alexandria University, Alexandria, Egypt, June 2011

  • GeoSocialDB: A Location-based Social Network
    1. NEC Labs, Cupertino, CA, May 2011

  • Privacy and Personalization in Location-based Database Servers
    1. University of Illinois Chicago, Oct 2010
    2. UC Santa Barbara, CA, Apr 2010
    3. University of Pittsburgh, PA, Apr 2010
    4. Georgia Tech, GA, Mar 2010
    5. Northwestern University, IL, Mar 2010

  • An Overview of Stream-based Projects at University of Minnesota
    1. Microsoft SQLServer - StreamInsight Group, Redmond, WA, Jul 2010

  • Scalability, Privacy, and Personalization: The Three Pillars of Ubiquitous Location Services
    1. IBM T. J Watson Research Center, Hawthorne, NY, Nov 2009

  • Towards Scalable and Privacy-Aware Location-Based Services
    1. National Chiao Tung University, Hsinchu City, Taiwan, May 2009
    2. IBM Watson Research Center, Hawthorne, NY, Dec 2007
    3. Cairo Microsoft Innovation Center, Cairo, Egypt, Aug 2007
    4. Karlsruhe University, Germany, May 2007
    5. Northeastern University, MA, Jan 2007
    6. Microsoft SQL-Server Faculty Summit, Redmond, WA, Jul 2007

  • Partitioning the SQL Server Storage Engine: Prototype Performance and Range Locking
    1. Microsoft Research, Redmond, WA, Aug 2008

  • Data Uncertainty: Reasons and Queries
    1. Cairo University, Cairo, Egypt, Aug 2007

  • New Trends in Database Systems
    1. Alexandria University, Egypt, Jun., 2006

  • The New Casper: Query Processing for Location Services without Compromising Privacy
    1. Hong Kong University, Hong Kong, Jun., 2006
    2. Hong Kong Polytechnic University, Hong Kong, May, 2006

  • Location-aware Query Processing
    1. Hong Kong Polytechnic University, Hong Kong, Jun, 2006

  • PLACE: Scalable Continuous Query Processing in Location-aware Database Servers
    1. Hong Kong Polytechnic University, Hong Kong, May, 2006