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 Costs Machine Learning Testing Software Agents Experiments Decoding Artificial Intelligence Regret Support Vector Machines Neural Networks Patient Rehabilitation Homelessness Elicitation Game Viruses Genetic Algorithms Hardness Intrusion Detection Deep Learning Learning Algorithms Model Economic And Social Effects Decision Support Systems Multi Agent Systems

Most Recent Papers

Decoding the imitation security game

Thanh H. Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen, 2020, on p. 179-186

Identifying Homeless Youth At-Risk of Substance Use Disorder

Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav, 2020, on p. 3092-3100

Improving lives of indebted farmers using deep learning: Predicting agricultural produce prices using convolutional neural networks

Hangzhi Guo, Alexander Woodruff, Amulya Yadav, 2020, on p. 13294-13299

Optimal and non-discriminative rehabilitation program design for opioid addiction among homeless youth

Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang, 2020, on p. 4389-4395

Computing for a Better World and a Sustainable Future

Carla Gomes, Tom Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Fern, Daniel Fink, Douglas Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John Gregoire, John Hopcroft, Steve Kelling, Zico Kolter, Warren Powell, Nicole Sintov, John Selker, Bart Selman, Daniel Sheldon, David Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Zeeman, 2019, on p. 56-65

Optimizing Peer Referrals for Public Awareness using Contextual Bandits

Ramaravind Mothilal, Amulya Yadav, Amit Sharma, 2019, on p. 74-85

Optimizing Peer Referrals for Public Awareness using Contextual Bandits

Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma, 2019, on p. 74-85

How gullible are you? predicting susceptibility to fake news

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

NECTAR

Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe, 2019, on p. 136-150

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

Most-Cited Papers

Using social networks to aid homeless shelters

Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe, 2016, on p. 740-748

Influence maximization in the field

Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo, 2017, on p. 150-158

Uncharted but not uninfluenced

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

Making the most of our regrets

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

Preventing HIV spread in homeless populations using PSINET

A. Yadav, L. Marcolino, E. Rice, R. Petering, H. Winetrobe, H. Rhoades, M. Tambe, H. Carmichael, 2015, on p. 92-99

Bridging the gap between theory and practice in influence maximization

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

Genetic algorithm combined with support vector machine for building an intrusion detection system

Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, Asif Ekbal, 2012, on p. 566-572

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

Unleashing Dec-MDPs in security games

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe, 2014, on p. 819-824