Security user studies: methodologies and best practices. - Serge Egelman; Jennifer King; Robert C. Miller; Nick Ragouzis; Erika Shehan (CHI Extended Abstracts, 2007)

Security and Privacy Risks of Embedded RFID in Everyday Things: the e-Passport and Beyond. - Marci Meingast; Jennifer King; Deirdre K. Mulligan (J. Commun., 2007)

Where's The Beep? Security, Privacy, and User Misunderstandings of RFID. - Jennifer King; Andrew McDiarmid (UPSEC, 2008)

Safeguards in a World of Ambient Intelligence (The International Library of Ethics, Law and Technology), edited by David Wright, Serge Gutwirth, Michael Friedewald, Elena Vildjiounaite, and Yves Punie. London: Springer, 2008, 291 pp. Cloth $159.00. ISBN 978-1-4020-6661-0. - Jennifer King (Inf. Soc., 2009)

Privacy: is there an app for that? - Jennifer King; Airi Lampinen; Alex Smolen (SOUPS, 2011)

When it's better to ask forgiveness than get permission: attribution mechanisms for smartphone resources. - Christopher Thompson 002; Maritza L. Johnson; Serge Egelman; David A. Wagner 001; Jennifer King (SOUPS, 2013)

Bridging the Gap between Privacy by Design and Privacy in Practice. - Luke Stark; Jennifer King; Xinru Page; Airi Lampinen; Jessica Vitak; Pamela J. Wisniewski; Tara Whalen; Nathaniel Good (CHI Extended Abstracts, 2016)

The Privacy Policy Paradox. - Rena Coen; Jennifer King; Richmond Y. Wong (WPI@SOUPS, 2016)

Privacy, Disclosure, and Social Exchange Theory - Jennifer King (2018)

Learning-Accelerated ADMM for Distributed Optimal Power Flow. - Dave Biagioni; Peter A. Graf; Xiangyu Zhang 010; Jennifer King (CoRR, 2019)

"Becoming Part of Something Bigger": Direct to Consumer Genetic Testing, Privacy, and Personal Disclosure. - Jennifer King (Proc. ACM Hum. Comput. Interact., 2019)

Resilient Autonomous Wind Farms. - Aaron Barker; Benjamin Anderson; Jennifer King (ACC, 2020)

Mobile Sensing for Wind Field Estimation in Wind Farms. - David J. Pasley; Marco M. Nicotra; Lucy Y. Pao; Jennifer King; Christopher J. Bay (ACC, 2020)

Estimation of Large-Scale Wind Field Characteristics using Supervisory Control and Data Acquisition Measurements. - Michael N. Sinner; Lucy Y. Pao; Jennifer King (ACC, 2020)

A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization. - Paul Stanfel; Kathryn E. Johnson; Christopher J. Bay; Jennifer King (ACC, 2020)

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. - Xiangyu Zhang 010; Dave Biagioni; Peter A. Graf; Jennifer King (ISGT, 2020)

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. - Tianshi Li 001; Jackie Yang; Cori Faklaris; Jennifer King; Yuvraj Agarwal; Laura Dabbish; Jason I. Hong (CoRR, 2020)

Wake Steering Wind Farm Control With Preview Wind Direction Information. - Eric Simley; Paul A. Fleming; Jennifer King; Michael N. Sinner (ACC, 2021)

Network based estimation of wind farm power and velocity data under changing wind direction. - Genevieve M. Starke; Paul Stanfel; Charles Meneveau; Dennice F. Gayme; Jennifer King (ACC, 2021)

Deep Reinforcement Learning for Automatic Generation Control of Wind Farms. - Sanjana Vijayshankar; Paul Stanfel; Jennifer King; Evangelia Spyrou; Kathryn E. Johnson (ACC, 2021)

Wind Power Forecasting using LSTMs. - Sanjana Vijayshankar; Jennifer King; Peter Seiler 001 (CDC, 2021)

Can GNSS-Reflectometry Support Global Monitoring of Floating Matter in the Ocean? - Jennifer King; Daniel Pascual; Maria Paola Clarizia; Peter de Maagt (IGARSS, 2021)

Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints. - Chinmay Shah; Jennifer King; Richard W. Wies (IEEE Access, 2021)

EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era. - Vasiliki Diamantopoulou; Costas Lambrinoudakis; Jennifer King; Stefanos Gritzalis (Modern Socio-Technical Perspectives on Privacy, 2022)

Grid-Interactive Electric Vehicle and Building Coordination Using Coupled Distributed Control. - Dylan Wald; Kathryn E. Johnson; Christopher J. Bay; Jennifer King; Rohit Chintala (ACC, 2022)

PowerGridworld: a framework for multi-agent reinforcement learning in power systems. - David Biagioni; Xiangyu Zhang 010; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (e-Energy, 2022)

Learning Assisted Demand Charge Mitigation for Workplace Electric Vehicle Charging. - Kalpesh Chaudhari; Patrick M. Connor; Joshua Comden; Jennifer King (IEEE Access, 2022)

From Model-Based to Model-Free: Learning Building Control for Demand Response. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 2022)

Differentiable Control for Adaptive Wake Steering. - Christiane Adcock; Gianluca Iaccarino; Jennifer King (ACC, 2023)

Yaw-Augmented Control for Wind Farm Power Tracking. - Genevieve M. Starke; Charles Meneveau; Jennifer King; Dennice F. Gayme (ACC, 2023)

An Investigation of Heuristic Control Strategies for Multi-Electrolyzer Wind-Hydrogen Systems Considering Degradation. - Zachary Tully; Genevieve M. Starke; Kathryn E. Johnson; Jennifer King (CCTA, 2023)

Online Learning of Effective Turbine Wind Speed in Wind Farms. - Aoife Henry; Michael N. Sinner; Jennifer King; Lucy Y. Pao (CDC, 2023)

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government. - Jennifer King; Daniel E. Ho; Arushi Gupta; Victor Wu; Helen Webley-Brown (FAccT, 2023)

Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts. - Jibonananda Sanyal; Melissa R. Dumas; Sangkeun Matt Lee; Supriya Chinthavali; Jennifer King; Srijib Mukherjee (PASC, 2023)

SEAS Communication Engine: An Extensible, Flexible Wrapper for Cosimulation Agents. - Sam Helman; Kinshuk Panda; Deepthi Vaidhynathan; Bernard Knueven; Devon Sigler; Wesley Jones; Jennifer King (ISGT, 2024)

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (Eng. Appl. Artif. Intell., 2024)

SmartGraph API: Programmatic Knowledge Mining in Network-Pharmacology Setting. - Gergely Zahoránszky-Köhalmi; Brandon Walker; Nathan Miller; Brett Yang; Dhatri V. L. Penna; Jessica Maine; Timothy Sheils; Ke Wang; Jennifer King; Hythem Sidky; Sridhar Vuyyuru; Jeyaraman Soundarajan; et al. (J. Chem. Inf. Model., 2024)

A Tutorial on the Control of Hybrid Renewable Energy Systems. - Kathryn E. Johnson; Zachary Tully; Kaitlin Brunik; Genevieve M. Starke; Michael N. Sinner; Mariya N. Koleva; Christopher J. Bay; Elenya Grant; Paul A. Fleming; Jibo Sanyal; Jennifer King (ACC, 2025)

Hierarchical multi-timescale MPC for control of off-grid renewable energy powered ammonia plant with storage. - Zachary Tully; Kathryn E. Johnson; Genevieve M. Starke; Jennifer King (ACC, 2025)

Optimizing Electrolyzers: Simultaneous Degradation Minimization and Hydrogen Flow Maximization with Mixed-Integer Programming. - Sanjana Vijayshankar; Zachary Tully; Mariya N. Koleva; Evan Reznicek; Kathryn E. Johnson; Jennifer King (ACC, 2025)

Learning-enhanced Distributed MPC for Optimal Building Control. - Dylan Wald; Kathryn E. Johnson; Michael N. Sinner; Jennifer King (ACC, 2025)