Amulya Yadav

Assistant Professor of Information Sciences and Technology

Amulya Yadav

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


Publication Tags

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Uncertainty Deception Artificial Intelligence Testing Health Game Software Agents Regret Quantal Response United States Of America Homelessness Hardness Elicitation Costs Behavior Change Neural Networks Model Experiments Machine Learning Planning Landslides Risk Management Imagery Economic And Social Effects Learning Algorithms

Most Recent Publications

Efficient COVID-19 Testing Using POMDPs.

Yu Liang, Amulya Yadav,

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini, Amulya Yadav, 2023, on p. 619-628

Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie Laure Charpignon, Anil Vullikanti, B. Aditya Prakash, 2023, on p. 5847-5848

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

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,

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

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

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

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

Thanh H. Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier, 2014, on p. 756-762

Tracy Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee, 2019, on p. 287-288

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

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

Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe, 2021, on p. 14948-14956