Riddho R. Haque

Ph.D. Student, College of Information & Computer Sciences, University of Massachusetts Amherst.
Research area: Optimizations, Data Management
Resume

I am a PhD student at the DREAM lab at UMass Amherst CICS where I am fortunate to be co-advised by Peter J. Haas and Alexandra Meliou. I work on creating scalable in-database algorithms that allow users to make risk, diversity and fairness-aware decisions from very large volumes of data. The tools I am currently building can potentially be used across a variety of domains, ranging from making risk-constrained stock market investments and automatically detecting privacy infringement by ML classifiers to selecting an unbiased and diverse set of social media responses. Previously, I was a software engineer for the Pixel Camera team at Google, where I worked on optimizing the speed, memory and power usage of Pixel's on device image processing algorithms.

  • CS 214
    140 Governors Dr
    Amherst, MA 01003
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Publications

  1. Data Management Perspectives on Prescriptive Analytics
    Alexandra Meliou, Azza Abouzied, Peter J. Haas, Riddho R. Haque, Anh Mai, Vasileios Vittis.
    EDBT/ICDT 2025 (Invited Keynote).
    Paper
  2. Stochastic SketchRefine: Scaling In-Database Decision-Making under Uncertainty to Millions of Tuples
    Riddho R. Haque, Anh L. Mai, Matteo Brucato, Azza Abouzied, Peter J. Haas, Alexandra Meliou.
    VLDB 2025 (Under Review)
    Extended Version Code Poster
  3. UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases
    Riddho R. Haque, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung
    ICBK 2021
    Paper Code Master's Dissertation
  4. WeFreS: Weighted Frequent Subgraph Mining in a Single Large Graph
    Nahian Ashraf, Riddho R. Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi.
    ICDM 2019
    Paper Undergraduate Dissertation