Amulya Yadav
Assistant Professor of Information Sciences and Technology
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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
Links
Most Recent Publications
Efficient COVID-19 Testing Using POMDPs.
Yu Liang, Amulya Yadav,
ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX.
Hangzhi Guo, Xinchang Xiong, Wenbo Zhang, Amulya Yadav, 2024, Journal of Open Source Software on p. 6567-6572
RoCourseNet: Robust Training of a Prediction Aware Recourse Model
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini, Amulya Yadav, 2023, on p. 619-628
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations
Hangzhi Guo, Thanh H. Nguyen, Amulya Yadav, 2023, on p. 577-589
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)
Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang, 2023, on p. 5895-5896
EpiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery
Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie Laure Charpignon, Anil Vullikanti, B. Aditya Prakash, 2023, on p. 5847-5848
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
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
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
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
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
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
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
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
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers
Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari,, Anamika Barman-Adhikari, Amulya Yadav, 2020, on p. 3092-3100
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav, 2021, on p. 3595-3604
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