Mahdi Imani

Mahdi Imani

George Washington University

H-index: 23

North America-United States

About Mahdi Imani

Mahdi Imani, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at George Washington University, specializes in the field of Machine Learning, Reinforcement Learning, Bayesian Statistics, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Implicit Human Perception Learning in Complex and Unknown Environments

Privacy-preserved federated reinforcement learning for autonomy in signalized intersections

Optimal Detection for Bayesian Attack Graphs under Uncertainty in Monitoring and Reimaging

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems

An Optimal Bayesian Intervention Policy in Response to Unknown Dynamic Cell Stimuli

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data

Mahdi Imani Information

University

Position

Assistant Professor of Electrical and Computer Engineering

Citations(all)

1300

Citations(since 2020)

1005

Cited By

871

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

36

i10Index(since 2020)

35

Email

University Profile Page

George Washington University

Google Scholar

View Google Scholar Profile

Mahdi Imani Skills & Research Interests

Machine Learning

Reinforcement Learning

Bayesian Statistics

Signal Processing

Top articles of Mahdi Imani

Title

Journal

Author(s)

Publication Date

Implicit Human Perception Learning in Complex and Unknown Environments

Amirhossein Ravari

Seyede Fatemeh Ghoreishi

Mahdi Imani

2024

Privacy-preserved federated reinforcement learning for autonomy in signalized intersections

ASCE International Conference on Transportation and Development (ICTD), American Society of Civil Engineers

Negar Asadi

Seyed Hamid Hosseini

Mahdi Imani

Daniel P Aldrich

Seyede Fatemeh Ghoreishi

2024

Optimal Detection for Bayesian Attack Graphs under Uncertainty in Monitoring and Reimaging

Armita Kazeminajafabadi

Seyede Fatemeh Ghoreishi

Mahdi Imani

2024

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks

IEEE Transactions on Computational Biology and Bioinformatics

Seyed Hamid Hosseini

Mahdi Imani

2024

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

IEEE Transactions on Artificial Intelligence

Amirhossein Ravari

Seyede Fatemeh Ghoreishi

Mahdi Imani

2024

Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems

Systems Science & Control Engineering

Mohammad Alali

Armita Kazeminajafabadi

Mahdi Imani

2024

An Optimal Bayesian Intervention Policy in Response to Unknown Dynamic Cell Stimuli

Information Sciences

Seyed Hamid Hosseini

Mahdi Imani

2024

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data

Yongsheng Mei

Mahdi Imani

Tian Lan

2024

Collaborative AI Teaming in Unknown Environments via Active Goal Deduction

arXiv preprint arXiv:2403.15341

Zuyuan Zhang

Hanhan Zhou

Mahdi Imani

Taeyoung Lee

Tian Lan

2024/3/22

Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs

Cybersecurity

Armita Kazeminajafabadi

Mahdi Imani

2023

Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks

Mohammad Alali

Mahdi Imani

2023

Optimal Recursive Expert-Enabled Inference in Regulatory Networks

IEEE Control Systems Letters

Amirhossein Ravari

Seyede Fatemeh Ghoreishi

Mahdi Imani

2023

Learning to Fight Against Cell Stimuli: A Game Theoretic Perspective

Seyed Hamid Hosseini

Mahdi Imani

2023

A Bayesian optimization framework for finding local optima in expensive multi-modal functions

arXiv preprint arXiv:2210.06635

Yongsheng Mei

Tian Lan

Mahdi Imani

Suresh Subramaniam

2022/10/13

Structure-Based Inverse Reinforcement Learning for Quantification of Biological Knowledge

Amirhossein Ravari

Seyede Fatemeh Ghoreishi

Mahdi Imani

2023

Bayesian Optimization for Expensive Smooth-Varying Functions

IEEE Intelligent Systems

Mahdi Imani

Mohsen Imani

Seyede Fatemeh Ghoreishi

2022/7

Heterogeneous Sensing and Bayesian Optimization for Smart Calibration in Additive Manufacturing Process

Sean Rescsanski

Mahdi Imani

Farhad Imani

2022/10/30

Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty

Mahdi Imani

Mohsen Imani

Seyede Fatemeh Ghoreishi

2022/6

Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design

IEEE Transactions on Neural Networks and Learning Systems

Mahdi Imani

Seyede Fatemeh Ghoreishi

2022/10

BioHD: an efficient genome sequence search platform using HyperDimensional memorization

Zhuowen Zou

Hanning Chen

Prathyush Poduval

Yeseong Kim

Mahdi Imani

...

2022/5

See List of Professors in Mahdi Imani University(George Washington University)

Co-Authors

H-index: 39
Suresh Subramaniam

Suresh Subramaniam

George Washington University

H-index: 2
Mohammad Alali

Mohammad Alali

Montana State University

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