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 Testing Machine Learning Costs Deep Learning Learning Algorithms Experiments Game Regret Intrusion Detection Convolutional Neural Networks Homelessness Hardness Genetic Algorithms Epidemiology Elicitation Neural Networks Artificial Intelligence Software Agents Support Vector Machines Decoding Data Mining Public Health Model Economic And Social Effects

Most Recent Papers

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

A PLAN for Tackling the Locust Crisis in East Africa

Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav, 2021, on p. 3595-3604

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

Amulya Yadav, 2021, on p. 3595-3604

Let the DOCTOR decide whom to test

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

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

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

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

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

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

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

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