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

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 Experiments

Most 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