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
Publication Tags
Uncertainty Machine Learning Testing Artificial Intelligence Data Mining Epidemiology Public Health Health United States Of America Homeless Persons Elicitation Social Networking Homelessness Hardness Costs Neural Networks Game Regret Hiv Software Agents Resource Allocation Model Learning Algorithms Planning ExperimentsMost Recent Publications
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, 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
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee, 2022, on p. 5178-5184
A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness
Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung Jae Lee, Milind Tambe, 2021, Journal of Acquired Immune Deficiency Syndromes on p. S20-S26
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021)
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash, 2021, on p. 4104-4105
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
Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic.
Yu Liang, Amulya Yadav, 2021, on p. 790-798
Let the DOCTOR decide whom to test: Adaptive testing strategies to tackle the COVID-19 pandemic
Yu Liang, Amulya Yadav, 2021, on p. 790-798
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
Zi Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav, 2021, on p. 14748-14756
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, 2021, on p. 14948-14956
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
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
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
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
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
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
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
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