Mahashweta Das

Senior Director

Research areas: Deep Learning, Machine Learning, Data Mining, Graphs, and Algorithms

Biography

Mahashweta Das is a Senior Director, Artificial Intelligence at Visa Research where she works on challenging real problems at the crossroads of tech and payment industry. Previously, she was employed as a Research Scientist at Hewlett Packard Labs where she designed and developed big data analytics solutions for HPE’s 'The Machine'. She has also held summer positions at Yahoo! Research, Technicolor Research, and IBM Research. Mahashweta received her Ph.D. in Computer Science from the University of Texas at Arlington in 2013. Her research interests include deep learning, machine learning, data mining, graphs, and algorithms. She has filed over fifteen patents and published over twenty refereed articles at premier international research conferences, and regularly serves on the program committee of these conferences. Her PhD dissertation received Honorable Mention at ACM SIGKDD 2014 Doctoral Dissertation Award. At Visa Research, she is leading a group of AI researchers and engineers focused on conducting foundational research, creating new products/early prototypes that incorporate research breakthroughs, and delivering innovative technologies to Visa's strategic products and businesses. She is also managing the academic collaboration program for Visa Research.

Publications

  1. Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang and Hari Sundaram. “Multi-Task Knowledge Graph Representations via Residual Functions”. 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2022.
  2. Xiao Tian and Mahashweta Das. “Generating Large-Scale Synthetic Payment Graphs with Realistic Fraudulent and Money Laundering Patterns”. MLF Workshop @ ACM International Conference on Knowledge Discovery and Data Mining, MLF-SIGKDD 2021.  
  3. Mangesh Bendre, Mahashweta Das, Fei Wang, and Hao Yang. “GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions”. 14th ACM WSDM International Conference on Web Search and Data Mining, WSDM 2021. 
  4. Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, and Jeff M. Phillips. “Constrained Non-Affine Alignment of Embeddings.” 21st IEEE International Conference on Data Mining, ICDM 2021. 
  5. Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang and Hari Sundaram. “Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation”. 43rd ACM International Conference on Research and Development in Information Retrieval, SIGIR 2021.
  6. Manoj Reddy Dareddy, Mahashweta Das and Hao Yang. “motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks”. 6th IEEE International Conference on Big Data, 2019. 
  7. Mahashweta Das, Alkis Simitsis and Kevin Wilkinson. “A Hybrid Solution for Mixed Workloads on Dynamic Graphs”. 4th International Workshop on Graph Data Management Experiences and Systems, GRADES 2016. 
  8. Rajeshkumar Kannapalli, Azade Nazi, Gautam Das and Mahashweta Das. “AD-WIRE: Add-on for Web Item Reviewing System”. 42nd International Conference on Very Large Data Bases, VLDB 2016.
  9. Mahashweta Das and Gautam Das. “Structured Analytics in Social Media”. 41st International Conference on Very Large Data Bases, VLDB 2015.
  10. Azade Nazi, Mahashweta Das and Gautam Das. “The TagAdvisor: Luring the Lurkers to Review Web Items”. 34th ACM International Conference on Data Management, SIGMOD 2015.
  11. Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das and Cong Yu. “An Expressive Framework and Efficient Algorithms for the Analysis of Collaborative Tagging”. VLDB Journal Special Issue on Best Papers of VLDB 2012, 2014.  
  12. Abon Chaudhuri and Mahashweta Das. “CrowdMGR: Interactive Visual Analytics to Interpret Crowdsourced Data. Workshop on Interactive Data Exploration”, IDEA Workshop @ ACM International Conference on Knowledge Discovery and Data Mining, IDEA-SIGKDD 2014. 
  13. Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis and Ingmar Weber. “Learning to Question: Leveraging User Preferences for Shopping Advice”. 19th ACM Conference on Knowledge Discovery and Data Mining, SIGKDD 2013. 
  14. Mahashweta Das, Habibur Rahman, Gautam Das and Vagelis Hristidis. “Generating Informative Snippet to Maximize Item Visibility”. 22nd ACM Conference of Information and Knowledge Management, CIKM 2013. 
  15. Mahashweta Das. “Exploratory Mining of Collaborative Social Content”. 32nd ACM International Conference on Data Management, SIGMOD PhD Symposium 2013.
  16. Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das and Cong Yu. “Who Tags What? An Analysis Framework”. 38th International Conference on Very Large Data Bases, VLDB 2012. 
  17. Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das and Cong Yu. “MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings”. 38th International Conference on Very Large Data Bases, VLDB 2012. 
  18. Mahashweta Das, Sihem Amer-Yahia, Gautam Das and Cong Yu. “MRI: Meaningful Interpretations of Collaborative Ratings”. 37th International Conference on Very Large Data Bases, VLDB 2011. 
  19. Mahashweta Das, Gautam Das and Vagelis Hristidis. “Leveraging Collaborative Tagging for Web Item Design”. 17th ACM Conference on Knowledge Discovery and Data Mining, SIGKDD 2011. 
  20. Mahashweta Das, Deepak P, Prasad M Deshpande and Ramakrishnan Kannan. “Fast Rule Mining Over Multi-Dimensional Windows”. 11th SIAM International Conference on Data Mining, SDM 2011.
  21. Mahashweta Das and Srinivasan Parthasarathy. “Anomaly Detection and Spatio-Temporal Analysis of Global Climate System”. SensorKDD @ ACM International Conference on Knowledge Discovery and Data Mining, SensorKDD 2009.

Patents

  1. Anurag Tangri, Chiranjeet Chetia, Mahashweta Das, Sarah Morahan, Loren Martinez, Roshni Ann Samuel, Venkata Naidu Marineni, Harishkumar Sundarji Majithiya, Marc Cor- balan. System and method to identify anomalous accounts in a network. US Patent 63/309,745. Filed February 24, 2022. 
  2. Xiao Tian, Mahashweta Das, Chiranjeet Chetia. Method and Computer Program Product for Generating Synthetic Graphs that Simulate Real-Time Transactions. US Patent 63/190,439. Filed February 8, 2022. 
  3. Mahashweta Das, Anurag Tangri. Community Detection for Detecting Suspicious Nodes and Paths Partaking in Financial Crimes. US Patent 63/282,735. Filed November 23, 2021. ⋄ Hao Zhu, Mahashweta Das, Mangesh Bendre, Hao Yang. Few-shot link prediction with domain adaptation. US Patent 63/250,456. Filed November 6, 2021. 
  4. Azita Nouri, Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang, Adit Krishnan. Method, System, and Computer Program Product for Knowledge Graph Based Embedding, Explainability, and/or Multi-Task Learning. US Patent 20220114456A1. Filed October 9, 2020. Published April 14, 2022. 
  5. Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang. Meta-transfer learning via contextual invariants for cross-domain recommendation. US Patent 20210110306A1. Filed October 14, 2019. Published April 15, 2020.
  6. Manoj Reddy Dareddy, Mahashweta Das and Hao Yang. System, method, and computer program product for generating embeddings for objects. US Patent WO2020113208A1. Filed December 2, 2019. Published June 4, 2020. 
  7. Shamim Samadi, Mahashweta Das and Hao Yang. Transition regularized matrix factor- ization for sequential recommendation. US Patent WO2019212570A1. Filed May 4, 2018. Published November 7, 2019. Granted March 8, 2022. 
  8. Nikan Chavoshi, Mahashweta Das and Hao Yang. Method, system, and computer program product for applying deep learning analysis to financial device usage. US Patent WO2019164496A1. Filed February 23, 2018. Published August 29, 2019.  
  9. Mahashweta Das and Hao Yang. System, method, and computer program product for predicting a specified geographic area of a user. US Patent WO2019164495A1. Filed February 23, 2018. Published August 29, 2019. 
  10. Alexander Kalinin, Alkis Simitsis, Kevin Wilkinson and Mahashweta Das. Processing data between data stores. US Patent US20180322179A1. Filed November 4, 2015. Published November 8, 2018. 
  11. Mahashweta Das, Alkiviadis Simitsis and William K. Wilkinson. Graph database query classification. US Patent US20180268079A1. Filed September 23, 2015. Published September 20, 2018. Granted March 23, 2021.
  12. Mahashweta Das, Alkiviadis Simitsis and William K. Wilkinson. Graph database man- agement. US Patent US20180246987A1. Filed September 4, 2015. Published August 30, 2018. 
  13. Mahashweta Das, Alkiviadis Simitsis and William K. Wilkinson. Graph database and rela- tional database mapping. US Patent WO2017044119A1. Filed September 11, 2015. Published March 16, 2017. 
  14. Mahashweta Das, Alkiviadis Simitsis and William K. Wilkinson. Recommending analytic tasks based on similarity of datasets. US Patent US20180181641A1. Filed June 23, 2015. Published June 28, 2018. 
  15. Gianmarco De Francisci Morales, Mahashweta Das, Aristides Gionis and Ingmar We- ber. Method and apparatus to build flowcharts for e-shopping recommendations. US Patent US20140358720A1. Filed May 31, 2013. Published December 4, 2014.