About Me

I am a postdoctoral associate at MIT CSAIL, and a member of the MIT Data Systems Group working with Prof. Tim Kraska and Prof. Michael Cafarella. Recently, I have been named Computing Innovation Fellow (CIFellow) by the Computing Research Association (CRA) and the National Science Foundation (NSF). My research interests broadly include machine learning for systems, scalable data processing and querying, probabilistic databases, scalable knowledge base construction, big spatial data management and analysis, multi-query optimization and data processing in containerization environments.

In January 2020, I completed my PhD in computer science from University of Minnesota, Twin Cities under the supervision of Prof. Mohamed F. Mokbel. During my PhD, I received the University-wide Best Dissertation Honorable Mention, and the prestigious Doctoral Dissertation Fellowship from University of Minnesota. I was also awarded the first place (gold medal) of the graduate student research competition (SRC) in ACM SIGSPATIAL 2019, and the best paper nomination in ACM SIGSPATIAL 2018. Besides my PhD, I collaborated with many researchers from Microsoft Research Redmond, NEC Labs America, Egypt-Japan University of Science and Technology (E-JUST), Alexandria University and Umm Al-Qura University.

News and Announcements

[07.2021]
   A paper on using learned models for hashing has been accepted in the AIDB workshop @ VLDB 2021.
[05.2021]

   I am honored to receive the University-wide Best Dissertation Honorable Mention for my PhD thesis "Adopting Markov Logic Networks for Big Spatial Data and Applications" [Link].
[05.2021]

   A medium post on our recent work that proposes using distance-bounded spatial approximations to exploit modern hardware and accelerate spatial queries.
[04.2021]

   I will be serving as a program committee member of SIGMOD 2022, EDBT 2022, SIGSPATIAL 2021, GEOProcessing 2021, AutoML@ICML 2021 and SpatialAPI@SIGSPATIAL 2021.
[04.2021]

   A post by the Computing Community Consortium (CCC) highlights my current research on "Machine Learning for Storage and Execution Layers of Database Systems" [Link].
[04.2021]
   An advanced seminar on the recent advances of machine learning for big spatial data has been accepted in MDM 2021.
[03.2021]

   I have been invited to give a talk on "The Landscape of Machine Learning for Big Spatial Data" as a part of the "Spatial Data Handling" series provided by University of Maryland Institute for Advanced Computer Studies (UMIACS) [Link].
[03.2021]

   Selected as the sole CSE departmental nominee for the University-wide Best PhD Dissertation Competition 2021 of University of Minnesota, Twin Cities.
[10.2020]
   A paper on approximate spatial data processing has been accepted in CIDR 2021.
[09.2020]


   I am honored to be named Computing Innovation Fellow (CIFellow) by the Computing Research Association (CRA) and the National Science Foundation (NSF). I have been selected among the top 10% of researchers from over 140 universities that span a wide variety of computing research areas [Link].
[07.2020]
   A paper on using machine learning to build efficient spatial indexes has been accepted in the AIDB workshop @ VLDB 2020.
[05.2020]
   I will be serving as a program committee member in ACM SIGSPATIAL 2020 and its co-located SpatialAPI workshop.
[04.2020]
   I will be serving as a program committee member in the AutoML workshop @ ICML 2020.
[02.2020]

   I have joined MIT CSAIL as a postdoctoral associate. I will be a part of the Data Systems and AI Lab (DSAIL) and work closely with Prof. Tim Kraska.
[01.2020]
   I have successfully defended my PhD in computer science from University of Minnesota, Twin Cities.
[12.2019]
   Our tutorial on the intersection between machine learning and big spatial data has been accepted in IEEE ICDE 2020.
[11.2019]

   An extension paper on our Flash system for scaling up the performance of spatial probabilistic graphical modeling has been published in SIGSPATIAL Special.
[11.2019]

   I have won the first place (gold medal) of the graduate Student Research Competition (SRC) in ACM SIGSPATIAL 2019. Now, I am advanced to the ACM-Wide SRC grand finals [Link].
[10.2019]

   A full paper on exploiting Markov Logic Networks (MLN) to scale up the performance of multinomial autologistic regression models has been accepted in ACM TSAS.
[10.2019]

   A full paper on enabling spatial awareness inside probabilistic knowledge base construction systems has been accepted in IEEE ICDE 2020.
[09.2019]
   I am invited to give a talk about "Adopting Markov Logic Networks for Big Spatial Data and Applications" at MIT.
[09.2019]

   An extended abstract on scaling up the performance of spatial probabilistic graphical models using Markov Logic Networks (MLN) has been accepted in the student research competition of ACM SIGSPATIAL 2019.
[07.2019]

   We are pleased to receive the National Science Foundation (NSF) IIS Award ($500,000) based on the core of my PhD work. In this grant, I was a major contributor in the project design, development, and writing.
[07.2019]

   We have been invited to give a tutorial on the recent advances in the intersection between machine learning and big spatial data in SSTD 2019. The tutorial will be given by Prof. Mokbel on 08/20.
[07.2019]
   I will be serving as a technical program committee member in GEOProcessing 2020.
[06.2019]
   I have received the "NSF Travel Grant Award" for attending VLDB 2019.
[05.2019]

   A paper highlighting my research directions in adopting Markov Logic Networks (MLN) for big spatial data and applications has been accepted in the PhD workshop @ VLDB 2019.
[05.2019]

   A demo paper on scaling up the performance of spatial probabilistic graphical models using Markov Logic Networks (MLN) has been accepted in VLDB 2019.
[04.2019]

   I am honored to receive the prestigious "Doctoral Dissertation Fellowship Award" for academic year 2019 - 2020 from University of Minnesota, Twin Cities [Link].
[04.2019]
   A tutorial on the synergy between machine learning and big spatial data has been accepted in VLDB 2019.
[02.2019]

   A short paper on building a framework for data-intensive applications in containerized environments has been accepted in IEEE ICDE 2019.
[01.2019]

   My CRA project in Microsoft Research Redmond has been used to build both offline and streaming analytics platforms such as Quill and online microservice fabrics such as Ambrosia.
[12.2018]
   I have passed my PhD thesis proposal exam.
[10.2018]
   I have received the "NSF Travel Grant Award" for attending ACM SIGSPATIAL 2018.
[09.2018]

   Our TurboReg paper has been selected among top 6 best papers in ACM SIGSPATAL 2018, and has been invited for a special issue of ACM TSAS on best papers [Link].
[08.2018]

   A full paper on scaling up the performance of binary spatial autologistic regression models has been accepted in ACM SIGSPATIAL 2018.
[02.2018]
   A demo paper on spatial probabilistic knowledge base construction has been accepted in ACM SIGMOD 2018.
[10.2017]
   I will be representing our Data Management Lab at the 2017 Research Showcase Exhibit of University of Minnesota.
[10.2017]
   I have received the "NSF Travel Grant Award" for attending ACM SIGSPATIAL 2017.
[09.2017]

   The CRA project, that I have started while doing my second internship in Microsoft Research Redmond, has been released as open source on github.
[08.2017]

   A full paper on optimizing the performance of spatial join operations in MapReduce frameworks has been accepted in ACM SIGSPATIAL 2017.
[05.2017]
   I have been selected among the top 10 finalists in the student research competition of ACM SIGMOD 2017.
[05.2017]
   A full paper on supporting spatial data processing inside Impala framework has been accepted in SSTD 2017.
[03.2017]
   I will be going back to the database group at Microsoft Research Redmond to spend Summer 2017 as a research intern.
[02.2017]
   I have received the "ACM Student Travel Award" for attending ACM SIGMOD 2017.
[01.2017]

   An extended abstract on optimizing spatial queries in MapReduce frameworks has been accepted in the student research competition of ACM SIGMOD 2017.
[04.2016]
   I have completed my M.Sc. degree in computer science from University of Minnesota, Twin Cities.
[02.2016]
   I will be spending Summer 2016 as a research intern in the database group at Microsoft Research Redmond.
[01.2016]

   I am honored to receive the "Academic Excellence Fellowship Award" for Spring 2016 from University of Minnesota, Twin Cities.
[10.2015]
   I have received the "NSF Travel Grant Award" for attending ACM SIGSPATIAL 2015.
[04.2015]
   I will be spending Summer 2015 as a research intern at NEC Labs America.
[01.2015]
   I am honored to receive the "Graduate School Fellowship Award" for Spring 2015 from University of Minnesota, Twin Cities.