Want to reduce energy consumption?: don't depend on the consumers! - Haroon Rashid; Priyanka Mary Mammen; S. Singh; Krithi Ramamritham; Pushpendra Singh 001; Prashant J. Shenoy (BuildSys, 2017)

Want to Reduce Energy Consumption, Whom should we call? - Priyanka Mary Mammen; Hareesh Kumar; Krithi Ramamritham; Haroon Rashid (e-Energy, 2018)

Data driven monitoring of thermal profile: towards sustainable urban habitats. - Surabhi Mehrotra; Priyanka Mary Mammen; Krithivasan Ramamritham; Ronita Bardhan (ICTD, 2019)

Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids. - Hareesh Kumar; Priyanka Mary Mammen; Krithi Ramamritham (CoRR, 2019)

Want to Reduce Energy Consumption, Which Floor Should I Prefer? - Priyanka Mary Mammen; Surabhi Mehrotra; Hareesh Kumar; Krithi Ramamritham (e-Energy, 2020)

Scalable mHealth technologies for public health monitoring: PhD forum abstract. - Priyanka Mary Mammen (SenSys, 2020)

Federated Learning: Opportunities and Challenges. - Priyanka Mary Mammen (CoRR, 2021)

WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing. - Priyanka Mary Mammen; Camellia Zakaria; Tergel Molom-Ochir; Amee Trivedi; Prashant J. Shenoy; Rajesh Balan (CoRR, 2021)

SleepMore: Sleep Prediction at Scale via Multi-Device WiFi Sensing. - Camellia Zakaria; Gizem Yilmaz; Priyanka Mary Mammen; Michael Chee 001; Prashant J. Shenoy; Rajesh Balan (CoRR, 2022)

SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing. - Camellia Zakaria; Gizem Yilmaz; Priyanka Mary Mammen; Michael Chee 001; Prashant J. Shenoy; Rajesh Balan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters. - Priyanka Mary Mammen; Noman Bashir; Ramachandra Rao Kolluri; Eun-Kyung Lee; Prashant J. Shenoy (e-Energy, 2023)

Detecting Natural Language Biases with Prompt-based Learning. - Md Abdul Aowal; Maliha T. Islam; Priyanka Mary Mammen; Sandesh Shetty (CoRR, 2023)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning. - Priyanka Mary Mammen; Camellia Zakaria; Tergel Molom-Ochir; Amee Trivedi; Prashant J. Shenoy; Rajesh Balan (ACM J. Comput. Sustain. Soc., 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)