- "Towards Robust and Verifiable Learned Database Systems: Query Optimization Case Study", Computer Science and Engineering Department, University of California, Riverside, 2024
- "Turning Spatial Data into Spatial Knowledge", Anawakalmekak High School, 2024
- "The Role of AI/ML in Advancing Database Systems", Singularity Syndicate Podcast, 2024 [YouTube Link] [Medium Article]
- "Towards Robust Learned Query Scheduling: Be Aware of Your Constraints", DSL @ University of Pennsylvania, 2023
- "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 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", DB Group @ Cornell University, 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
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