Amulya Yadav
Assistant Professor of Information Sciences and Technology
-
E368 Westgate
University Park, PA - auy212@psu.edu
- 814-865-6375
Research Summary
Artificial Intelligence for Social Good, focused on developing theoretically grounded approaches that can positively impact real-world problems, particularly in the fields of public health and wildlife protection.
Huck Affiliations
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Publication Tags
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Uncertainty Deception Game Costs Epidemiology Artificial Intelligence Quantal Response Software Agents United States Of America Testing Regret Data Mining Homelessness Behavior Change Hardness Elicitation Neural Networks Machine Learning Model Public Health Experiments Planning Economic And Social Effects Multi Agent Systems ImageryMost Recent Publications
Efficient COVID-19 Testing Using POMDPs.
Yu Liang, Amulya Yadav,
CounterNet: End-to-End Training of Counterfactual Aware Predictions
Hangzhi Guo, Thanh Nguyen, Amulya Yadav, 2023, on p. 577-589
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav, 2023, on p. 14620-14627
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav, 2023, on p. 14620-14627
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?
Thanh Hong Nguyen, Amulya Yadav, 2023, on p. 3-22
TRIM-AI: Harnessing Large Language Models for Providing Timely Maternal & Neonatal Care in Low-Resource Countries
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav, 2022,
A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty
Thanh Hong Nguyen, Amulya Yadav, 2022, Games
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen-Wilson Chavez, Owen Wilson Chavez, Ashley Flores, Dongwon Lee, 2022, on p. 3514--3523
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery
Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie Laure Charpignon, Anil Vullikanti, B. Aditya Prakash, 2022, on p. 4850-4851
Large-scale clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe, 2022,
Most-Cited Papers
Using social networks to aid homeless shelters: Dynamic influence maximization under uncertainty
Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe, 2016, on p. 740-748
Uncharted but not uninfluenced: Influence maximization with an uncertain network
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe, 2017, on p. 1305-1313
Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo, 2018, on p. 5399--5403
Regret-based optimization and preference elicitation for stackelberg security games with uncertainty
Thanh H. Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier, 2014, on p. 756-762
Exploring algorithmic fairness in robust graph covering problems
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe, 2019, Advances in Neural Information Processing Systems
Don't put all your strategies in one basket: Playing Green Security Games with imperfect prior knowledge
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe, 2019, on p. 395-403
Piloting the use of artificial intelligence to enhance HIV prevention interventions for youth experiencing homelessness
Eric Rice, Amanda Yoshioka-Maxwell, Robin Petering, Laura Onasch-Vera, Jaih Craddock, Milind Tambe, Amulya Yadav, Bryan Wilder, Darlene Woo, Hailey Winetrobe, Nicole Wilson, 2018, Journal of the Society for Social Work and Research on p. 551-573
How gullible are you? predicting susceptibility to fake news
Tracy Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee, 2019, on p. 287-288
Making the most of our regrets: Regret-based solutions to handle payoff uncertainty and elicitation in green security games
Thanh H. Nguyen, Francesco M. Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, 2015, on p. 170-191
Unleashing Dec-MDPs in security games: Enabling effective defender teamwork
Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe, 2014, on p. 819-824
News Articles Featuring Amulya Yadav
Mar 23, 2023
Artificial intelligence models aim to forecast eviction, promote renter rights
Two artificial intelligence-driven models designed by researchers from the Penn State College of Information Sciences and Technology could help promote the rights of low-income renters in the United States when facing forced eviction.
Full Article
Feb 06, 2023
New AI tool helps provide better care to pregnant women in Kenya
Kenya has one of the world’s highest maternal mortality rates, and more than one-third of the country’s maternal and neonatal deaths are due to delays in mothers seeking care.
Full Article
Jan 11, 2023
Center for Socially Responsible AI awards seed funding to 6 projects
The Penn State Center for Socially Responsible Artificial Intelligence recently announced the results of its third seed funding competition.
Full Article