Faculty

Institution

Unit

Venue

Amulya Yadav

Associate Professor

Pennsylvania State University

Affiliations

College of Information Sciences and Technology

Amulya Yadav is currently serving as a College Of Information Sciences And Technology Associate Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Amulya Yadav

Pennsylvania State University

Associate Professor

You can click a keyword to filter the displayed items

artificial intelligence public health computer science homelessness adolescent health social sciences mental health social network analysis multiagent systems hiv correctional practice youth services influence maximization homeless youth data science information security harm reduction computational intelligence knowledge discovery substance use influence model homeless shelters hiv prevention applied artificial intelligence augmented intelligence dynamic influence maximization homeless youth at-risk homeless populations human-computer interaction intelligent computing information technology sustainable development social science research theoretical criminology applied social psychology anthropological theory decision science precision agriculture disaster risk reduction computational humanities computational thinking computational infrastructure applied sociology societal influence criminological theory activism social work research preference elicitation deployment experience deployment strategy continuous deployment real-world deployment convolutional neural networks disaster mitigation connected health digital interventions juvenile delinquency predictability adversarial machine learning risk communication community planning deception detection service life prediction deterioration modeling algorithmic learning case studies ai education environmental challenges other fields computational sustainability raising awareness uncertain network hiv prevention interventions regret-based optimization stackelberg security games regret-based solutions machine intelligence technology artificial society ethics of artificial intelligence multidisciplinary ai responsible ai intelligent systems

Notable Scholarly Works

Notable Federal Grants

Collaborators

RELAX: Efficient and Scalable Recourse Explanation Benchmarking Using Jax. The Journal of Open Source Software (2024)

Hangzhi GuoXinchang XiongWenbo ZhangAmulya Yadav

scalable recourse explanationopen-source softwareopen-source software developmentbenchmarking toolsoftware engineeringcomputer scienceperformance scalability

A Continual Pre-Training Approach to Tele-Triaging Pregnant Women in Kenya. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Wenbo ZhangHangzhi GuoPrerna RanganathanJay PatelSathyanath RajasekharanNidhi DanayakManan GuptaAmulya Yadav

public healthtele-triaging pregnant womenartificial intelligencetelehealth

COUNTERNET: End-To-End Training of Prediction Aware Counterfactual Explanations. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Hangzhi GuoThanh H. NguyenAmulya Yadav

machine intelligencepredictabilityreinforcement learningnatural language processingcomputational intelligenceapplied mathematicsmachine learningadversarial machine learningend-to-end training

Epidamik 6.0: The 6Th International Workshop on Epidemiology Meets Data Mining and Knowledge Discovery. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Bijaya AdhikariAlexander RodríguezAmulya YadavSen PeiAjitesh SrivastavaMarie-Laure CharpignonAnil VullikantiB. Aditya Prakash

international workshopepidemiologydata miningknowledge discovery

Kdd 2023 International Workshop on Data Science for Social Good (Dssg-23). Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Amulya YadavAparna TanejaAyan MukhopadhyaySerina Chang

international workshopdata sciencecovid-19

ROCOURSENET: Robust Training of a Prediction Aware Recourse Model. (2023)

Hangzhi GuoFeiran JiaJinghui ChenAnna SquicciariniAmulya Yadav

predictive analyticspredictive learningmachine learningtraining systemspredictive modelingrobust trainingcomputer science

The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?. Lecture notes in computer science (2023)

Thanh Hong NguyenAmulya Yadav

systems engineeringrisk managementinsider threatcomputer securityattacker behavioral learninginformation securitycomputer scienceattack modelattack simulation

A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior Under Uncertainty. Games (2022)

Thanh Hong NguyenAmulya Yadav

systems engineeringrisk managementcomputer securitygame theoryquantal responsegame studiescomplete analysisbehavioral sciences

Epidamik 5.0. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)

Bijaya AdhikariAmulya YadavSen PeiAjitesh SrivastavaSarah KefayatiAlexander RodríguezMarie-Laure CharpignonAnil VullikantiB. Aditya Prakash

machine learningcomputer sciencedata miningknowledge discovery

Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)

Maryam TabarWooyong JungAmulya YadavOwen Wilson ChavezAshley FloresDongwon Lee

public healthmachine intelligencemachine learningservice life predictionpolicy modelingpublic policyartificial intelligencehousingdeterioration modelingalgorithmic learningcomputational intelligenceformal evictionforecasting

1
2
3
4
5
6
10 / page

Amulya Yadav

Associate Professor

Pennsylvania State University

Affiliations

College of Information Sciences and Technology

Amulya Yadav is currently serving as a College Of Information Sciences And Technology Associate Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Amulya Yadav

Pennsylvania State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

RELAX: Efficient and Scalable Recourse Explanation Benchmarking Using Jax. The Journal of Open Source Software (2024)

Hangzhi GuoXinchang XiongWenbo ZhangAmulya Yadav

scalable recourse explanationopen-source softwareopen-source software developmentbenchmarking toolsoftware engineeringcomputer scienceperformance scalability

A Continual Pre-Training Approach to Tele-Triaging Pregnant Women in Kenya. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Wenbo ZhangHangzhi GuoPrerna RanganathanJay PatelSathyanath RajasekharanNidhi DanayakManan GuptaAmulya Yadav

public healthtele-triaging pregnant womenartificial intelligencetelehealth

COUNTERNET: End-To-End Training of Prediction Aware Counterfactual Explanations. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Hangzhi GuoThanh H. NguyenAmulya Yadav

machine intelligencepredictabilityreinforcement learningnatural language processingcomputational intelligenceapplied mathematicsmachine learningadversarial machine learningend-to-end training

Epidamik 6.0: The 6Th International Workshop on Epidemiology Meets Data Mining and Knowledge Discovery. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Bijaya AdhikariAlexander RodríguezAmulya YadavSen PeiAjitesh SrivastavaMarie-Laure CharpignonAnil VullikantiB. Aditya Prakash

international workshopepidemiologydata miningknowledge discovery

Kdd 2023 International Workshop on Data Science for Social Good (Dssg-23). Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Amulya YadavAparna TanejaAyan MukhopadhyaySerina Chang

international workshopdata sciencecovid-19

ROCOURSENET: Robust Training of a Prediction Aware Recourse Model. (2023)

Hangzhi GuoFeiran JiaJinghui ChenAnna SquicciariniAmulya Yadav

predictive analyticspredictive learningmachine learningtraining systemspredictive modelingrobust trainingcomputer science

The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?. Lecture notes in computer science (2023)

Thanh Hong NguyenAmulya Yadav

systems engineeringrisk managementinsider threatcomputer securityattacker behavioral learninginformation securitycomputer scienceattack modelattack simulation

A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior Under Uncertainty. Games (2022)

Thanh Hong NguyenAmulya Yadav

systems engineeringrisk managementcomputer securitygame theoryquantal responsegame studiescomplete analysisbehavioral sciences

Epidamik 5.0. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)

Bijaya AdhikariAmulya YadavSen PeiAjitesh SrivastavaSarah KefayatiAlexander RodríguezMarie-Laure CharpignonAnil VullikantiB. Aditya Prakash

machine learningcomputer sciencedata miningknowledge discovery

Maryam TabarWooyong JungAmulya YadavOwen Wilson ChavezAshley FloresDongwon Lee

1
2
3
4
5
6
10 / page

Similar Faculty Members

Karen Levy

Institution

Cornell University

information policy

ai ethics

John Yen

Institution

Pennsylvania State University

big data

applied artificial intelligence

Bryan Wilder

Institution

Carnegie Mellon University

artificial intelligence

public health

Phebe Vayanos

Institution

University of Southern California

operations research

mathematical economics

Christopher C. Yang

Institution

Drexel University

information technology

healthcare informatics

Dong Wang

Institution

University of Illinois Urbana-Champaign

artificial society

informatics

Lakshminarayanan Subramanian

Institution

New York University

artificial society

multidisciplinary ai

Yong Ge

Institution

University of Arizona

advanced analytics

data engineering

Vincent Conitzer

Institution

Carnegie Mellon University

game theory

artificial society

Christian Lebiere

Institution

Carnegie Mellon University

psychology

cognitive architectures

Similar Faculty Members

Karen Levy

Institution

Cornell University

information policy

ai ethics

John Yen

Institution

Pennsylvania State University

big data

applied artificial intelligence

Bryan Wilder

Institution

Carnegie Mellon University

artificial intelligence

public health

Phebe Vayanos

Institution

University of Southern California

operations research

mathematical economics

Christopher C. Yang

Institution

Drexel University

information technology

healthcare informatics

Dong Wang

Institution

University of Illinois Urbana-Champaign

artificial society

informatics

Lakshminarayanan Subramanian

Institution

New York University

artificial society

multidisciplinary ai

Yong Ge

Institution

University of Arizona

advanced analytics

data engineering

Vincent Conitzer

Institution

Carnegie Mellon University

game theory

artificial society

Christian Lebiere

Institution

Carnegie Mellon University

psychology

cognitive architectures