Provenance in Context of Hadoop as a Service (HaaS) - State of the Art and Research Directions. - Himanshu Gupta; Sameep Mehta; Sandeep Hans; Bapi Chatterjee; Pranay Lohia; Rajmohan C (CLOUD, 2017)

Video analysis of "YouTube funnies" to aid the study of human gait and falls - preliminary results and proof of concept. - Babak Taati; Pranay Lohia; Avril Mansfield; Ahmed Bilal Ashraf (EMBC, 2017)

DataVizard: Recommending Visual Presentations for Structured Data. - Rema Ananthanarayanan; Pranay Kr. Lohia; Srikanta Bedathur (WebDB, 2018)

Automated Test Generation to Detect Individual Discrimination in AI Models. - Aniya Aggarwal; Pranay Lohia; Seema Nagar; Kuntal Dey; Diptikalyan Saha (CoRR, 2018)

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Jacquelyn Martino; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; et al. (CoRR, 2018)

Tooling Framework for Instantiating Natural Language Querying System. - Manasa Jammi; Jaydeep Sen; Ashish R. Mittal; Sagar Verma; Vardaan Pahuja; Rema Ananthanarayanan; Pranay Lohia; Hima Karanam; Diptikalyan Saha; Karthik Sankaranarayanan (Proc. VLDB Endow., 2018)

Ownership Preserving AI Market Places Using Blockchain. - Nishant Baranwal Somy; Kalapriya Kannan; Vijay Arya; Sandeep Hans; Abhishek Singh; Pranay Lohia; Sameep Mehta (Blockchain, 2019)

Bias Mitigation Post-processing for Individual and Group Fairness. - Pranay Kr. Lohia; Karthikeyan Natesan Ramamurthy; Manish Bhide; Diptikalyan Saha; Kush R. Varshney; Ruchir Puri (ICASSP, 2019)

On Efficiently Processing Workflow Provenance Queries in Spark. - Rajmohan C; Pranay Lohia; Himanshu Gupta; Siddhartha Brahma; Mauricio A. Hernández; Sameep Mehta (ICDCS, 2019)

Black box fairness testing of machine learning models. - Aniya Aggarwal; Pranay Lohia; Seema Nagar; Kuntal Dey; Diptikalyan Saha (ESEC/SIGSOFT FSE, 2019)

Design diagrams as ontological source. - Pranay Lohia; Kalapriya Kannan; Biplav Srivastava; Sameep Mehta (ESEC/SIGSOFT FSE, 2019)

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Jacquelyn Martino; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; et al. (IBM J. Res. Dev., 2019)

Think Your Artificial Intelligence Software Is Fair? Think Again. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; John T. Richards; et al. (IEEE Softw., 2019)

Ranking Marginal Influencers in a Target-labeled Network. - Pranay Lohia; Kalapriya Kannan; Karan Rai; Srikanta Bedathur (COMAD/CODS, 2020)

Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness. - Pranay Lohia (CoRR, 2021)

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. - Nitin Gupta 005; Hima Patel; Shazia Afzal; Naveen Panwar; Ruhi Sharma Mittal; Shanmukha C. Guttula; Abhinav Jain 001; Lokesh Nagalapatti; Sameep Mehta; Sandeep Hans; Pranay Lohia; Aniya Aggarwal; et al. (CoRR, 2021)

Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US. - Wonyoung So; Pranay Lohia; Rakesh Pimplikar; Anette E. Hosoi; Catherine D'Ignazio (FAccT, 2022)

Counterfactual Multi-Token Fairness in Text Classification. - Pranay Lohia (CoRR, 2022)

High Significant Fault Detection in Azure Core Workload Insights. - Pranay Lohia; Laurent Boué; Sharath Ranganath; Vijay Agneeswaran 001 (AAAI, 2024)

SPASE: Spatial Saliency Explanation For Time Series Models. - Pranay Lohia; Badri Narayana Patro; Naveen Panwar; Vijay Agneeswaran 001 (ICASSP, 2024)

High Significant Fault Detection in Azure Core Workload Insights. - Pranay Lohia; Laurent Boué; Sharath Kumar Rangappa; Vijay Agneeswaran 001 (CoRR, 2024)