Curriculum Vitae
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Contact: AnnaFariha [at] microsoft [dot] com

I am a Researcher at Microsoft. I obtained my Ph.D. from the College of Information and Computer Sciences (CICS), University of Massachusetts, Amherst under the supervision of Prof. Alexandra Meliou (Ph.D. Dissertation). My primary area of research revolves around data management; but, the application areas of my research have been interdisciplinary, spanning from program synthesis and software engineering to machine learning, natural language processing, and human-computer interaction. I am interested in designing mechanisms for enhancing system usability and developing intelligent tools towards boosting productivity for a diverse group of users, ranging from end users to data scientists and developers.

Recent News

Research Projects

Publications

Conference and Workshop papers and demonstrations (peer-reviewed)
  • El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Andrew Bowne, Lindsey McEvoy, Vijay Gadepally: Examples are All You Need: Iterative Data Discovery by Example in Data Lakes [Abstract] CIDR (2022)
  • Nishant Yadav*, Matteo Brucato*, Anna Fariha*, Oscar Youngquist, Julian Killingback, Alexandra Meliou, Peter J. Haas: SubSumE: A Dataset for Subjective Summary Extraction from Wikipedia Documents. [Workshop paper] NewSum@EMNLP (2021)
  • El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Vijay Gadepally, Michael Stonebraker: DICE: Data Discovery by Example. [Demo] VLDB (2021)
  • Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani: CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning. [Demo] SIGMOD (2021)
  • Anna Fariha*, Ashish Tiwari*, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou: Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems. SIGMOD (2021)
  • Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani: ExTuNe: Explaining Tuple Non-conformance. [Demo] SIGMOD (2020)
  • Anna Fariha, Suman Nath, Alexandra Meliou: Causality-Guided Adaptive Interventional Debugging. SIGMOD (2020)
  • Anna Fariha, Matteo Brucato, Peter J. Haas, Alexandra Meliou: SuDocu: Summarizing Documents by Example. [Demo] PVLDB (2020)
  • Anna Fariha, Alexandra Meliou: Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity. PVLDB (2019)
  • Anna Fariha, Sheikh Muhammad Sarwar, Alexandra Meliou: SQuID: Semantic Similarity-Aware Query Intent Discovery. [Demo] SIGMOD (2018)
Submissions under review
  • Rohan Bavishi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radiček, Ashish Tiwari: [submission under review] (2022)
  • Anna Fariha, Lucy Cousins, Narges Mahyar, Alexandra Meliou: [submission under review] (2022)
  • Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava: [submission under review] (2022)
  • Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi: [submission under review] (2022)
Technical reports
  • Anna Fariha: Enhancing Usability and Explainability of Data Systems. Ph.D. Dissertation. University of Massachusetts Amherst (2021)
  • Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava: DataExposer: Exposing Disconnect between Data and Systems. CoRR abs/2105.06058 (2021)
  • Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou: Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems. CoRR abs/2003.01289 (2020)
  • Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou: Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. CoRR abs/2101.07361 (2021)
  • Anna Fariha, Lucy Cousins, Narges Mahyar, Alexandra Meliou: Example-Driven User Intent Discovery: Empowering Users to Cross the SQL Barrier Through Query by Example. CoRR abs/2012.14800 (2020)
  • Anna Fariha, Suman Nath, Alexandra Meliou: Causality-Guided Adaptive Interventional Debugging. CoRR abs/2003.09539 (2020)
  • Anna Fariha, Alexandra Meliou: Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity. CoRR abs/1906.10322 (2019)
Undergraduate and masters research
  • Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao: A New Framework for Mining Frequent Interaction Patterns from Meeting Databases. Engineering Applications of Artificial Intelligence (2015)
  • Amit Mandal, Mehedi Hasan, Anna Fariha, Chowdhury Farhan Ahmed: GSCS - Graph Stream Classification with Side Information. APWeb (2015)
  • Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung: A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams. WI-IAT (2015)
  • Shafaet Ashraf, Sheikh Muhammad Sarwar, Md. Abeed Hassan, Saifuddin Md. Tareeq, Anna Fariha: An Efficient Method for Extracting Subtrees Against Forest Query. IMCOM (2015)
  • Md. Samiullah, Chowdhury Farhan Ahmed, Anna Fariha, Akiz Uddin Ahmed: Efficient Graph Classification in Shifted Datasets Using Weighted Correlated Feature Selection. LMCE@ECML-PKDD (2014)
  • Md. Samiullah, Chowdhury Farhan Ahmed, Anna Fariha, Md. Rafiqul Islam, Nicolas Lachiche: Mining Frequent Correlated Graphs with a New Measure. Expert System with Applications (2014)
  • Md. Samiullah, Chowdhury Farhan Ahmed, Manziba Akanda Nishi, Anna Fariha, S. M. Abdullah, Md. Rafiqul Islam: Correlation Mining in Graph Databases with a New Measure. APWeb (2013)
  • Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao: Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. PAKDD (2013)
  • Anna Fariha, Shariful Islam, Chowdhury Farhan Ahmed, Byeong-Soo Jeong: An Algorithm towards Indexing Evolving Graph Databases. GSTF Journal on Computing (2012)
  • Shariful Islam, Anna Fariha, Chowdhury Farhan Ahmed, Byeong-Soo Jeong: EGDIM: Evolving Graph Database Indexing Method. ICUIMC (2012)

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