Services and Activities

• Program Committee
  • ACM International Conference on Management of Data (SIGMOD), 2022 - 2024
  • International Conference on Very Large Data Bases (VLDB), 2023 - 2024
  • IEEE International Conference on Data Engineering (ICDE), 2023
  • The International Conference on Extending Database Technology (EDBT), 2022, 2024
  • ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2020 - 2023
  • International Conference on Automated Machine Learning (AutoML-Conf), 2022
  • International Conference on Advanced Geographic Information Sys, Applications, and Services (GEOProcessing), 2020 - 2021
  • Automated Machine Learning Workshop (AutoML) @ International Conference on Machine Learning (ICML), 2020 - 2021
  • Geospatial Data Access and Processing APIs Workshop (SpatialAPI) @ ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2020 - 2021
• Invited Journal/Transactions Reviewer
  • The International Journal on Very Large Data Bases (VLDBJ), 2022
  • IEEE Internet of Things Journal (IoT-J), 2021
  • IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
  • Distributed and Parallel Databases (DAPD), 2020
  • ACM Transactions on Spatial Algorithms and Systems (TSAS), 2019 - 2021, 2023
  • International Journal on Advances of Computer Science for Geographic Information Systems (GeoInformatica), 2018 - 2020
  • IEEE Transactions on Mobile Computing (TMC), 2013 - 2014
  • IEEE Transactions on Vehicular Technology (TVT), 2012 - 2014
  • IEEE Signal Processing Magazine, 2013
• External Reviewer
  • Conference on Machine Learning and Systems (MLSys), 2022
  • ACM International Conference on Management of Data (SIGMOD), 2015 - 2020
  • International Conference on Very Large Data Bases (VLDB), 2014 - 2020
  • IEEE International Conference on Data Engineering (ICDE), 2014 - 2019
  • ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2014 - 2018
  • International Conference on Extending Database Technology (EDBT), 2017
  • International Symposium on Spatial and Temporal Databases (SSTD), 2014 - 2018
  • IEEE International Conference on Mobile Data Management (MDM), 2016 - 2017
  • Scientific and Statistical Database Management Conference (SSDBM), 2017
• Volunteering Services
  • Session chair:
    • The International Conference on Extending Database Technology (EDBT), 2022
  • Member of the Grants Committee in the Council of Graduate Students (COGS), University of Minnesota, Twin Cities, 2019
  • Webmaster for ACM SIGSPATIAL, 2014 - 2017
  • Representative of Data Management Lab at University of Minnesota Research Showcase Exhibit, 2017
  • Student volunteer:
    • International Conference on Very Large Data Bases (VLDB), 2019
    • ACM International Conference on Management of Data (SIGMOD), 2017
    • ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2015, 2017 - 2018
• Organizational Services
  • Mentor in the VLDB 2022 Diversity and Inclusion Program, VLDB, 2022
  • Mentor/Counselor in the Egypt Scholars initiative, Egypt, 2022
  • Organizer of the annual MIT DSAIL Retreat, MIT, 2021
  • Mentor in the Undergraduate Research Opportunities Program (UROP), MIT, 2020 - 2021
  • Organizer in Start Menu Day, Alexandria University, 2013
  • Appointed as the Oracle CS club leader, Alexandria University, 2012 - 2013
• Talks
  • "Building Better Data-Intensive Systems Using Machine Learning"
    • Computer Science Department, Cornell University, Ithaca, New York, USA, 2023
    • School of Computer Science, Georgia Tech, Georgia, USA, 2023
    • Information School, University of Illinois, Urbana-Champaign, Illinois, USA, 2023
    • Computer Science Department, University of Southern California, California, USA, 2023
    • Computer Science Department, Purdue University, Indiana, USA, 2023
    • Computer Science Department, University of Virginia, Charlottesville, Virginia, USA, 2023
    • School of Data Science, University of Virginia, Charlottesville, Virginia, USA, 2023
    • Computer Science Department, University of California, Santa Barbra, California, USA, 2023
    • Computer Science Department, Rutgers University, New Jersey, USA, 2023
    • Computer Science and Engineering Department, University of California, Santa Cruz, California, USA, 2023
    • Computer Science Department, University of Rochester, New York, USA, 2023
    • Computer Science Department, Indiana University, Bloomington, Indiana, USA, 2023
    • Computer Science Department, George Mason University, Virginia, USA, 2023
  • "Machine Learning Enhanced Query Scheduling and Execution Operations in Database Systems", DATA Lab @ Northeastern University, Boston, Massachusetts, USA, 2023
  • "Building Better Data-Intensive Systems Using Machine Learning", University of Minnesota's Data Management Group, 2023
  • "Instance-Optimized Data Structures and Algorithms", Facebook's Velox Team, 2022
  • "LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems", Cornell Database Group, Ithaca, New York, USA, 2022
  • "Machine Learning Meets Big Spatial Data: The Landscape", University of Maryland Institute for Advanced Computer Studies, College Park, Maryland, USA, 2021
  • "Machine Learning Meets Big Spatial Data", ICDE 2020 tutorial, Dallas, Texas, USA, 2020
  • "Towards Scalable Spatial Probabilistic Graphical Modeling", SIGSPATIAL 2019 Student Research Competition,
    Chicago, USA, 2019
  • "Adopting Markov Logic Networks for Big Spatial Data", MIT Data Systems Group, Cambridge, Massachusetts, USA, 2019
  • "Machine Learning Meets Big Spatial Data", VLDB 2019 tutorial, Los Angeles, California, USA, 2019
  • "Machine Learning Meets Big Spatial Data", SSTD 2019 tutorial (Invited), Vienna, Austria, 2019
  • "Containerization of Data Intensive Computations with CRA", Microsoft Research Redmond, Washington, USA, 2017
  • "Optimizing Spatial Queries in MapReduce", SIGMOD 2017 Student Research Competition, Chicago, USA, 2017
  • "On Spatial Joins in MapReduce", University of Minnesota Research Showcase Exhibit, Minnesota, USA, 2017
  • "Coral: Common Run-time for Analytics", Microsoft Research Redmond, Washington, USA, 2016
  • "Cost-based Multi-query Optimization inside the Odyssey System", NEC Labs America, California, USA, 2015
  • "Introduction to Machine Learning - The Brilliance of Science", ACM Alexandria Chapter Machine Learning Day, Bibliotheca Alexandrina, Egypt, 2013
  • "Collaborative Machine Translation Evaluation", Alexandria University Research Day, Alexandria, Egypt, 2013

Teaching

• University of Minnesota, Twin Cities
  • CSCI-4707 Practice of Database Systems (Fall 2014, Spring 2015, Fall 2015, Spring 2018)
• Alexandria University
  • CS-121 Programming using Java and C/C++ (Fall 2010, Fall 2012, Fall 2013)
  • CS-223 Advanced Data Structures (Spring 2010, Spring 2012, Spring 2013)
  • CS-221 Object-Oriented Programming (Fall 2010)
  • CS-322 Database Systems (Spring 2012, Spring 2013)
  • CS-E41 Special Topics on Information Systems (Fall 2010, Fall 2012, Fall 2013)
  • CS-E42 Pattern Recognition and Applications (Fall 2010)
  • CS-E43 Introduction to Computer Vision (Fall 2012)