Azim Eskandarian

Azim Eskandarian

Virginia Polytechnic Institute and State University

H-index: 37

North America-United States

About Azim Eskandarian

Azim Eskandarian, With an exceptional h-index of 37 and a recent h-index of 26 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Dynamic systems and controls, autonomous/intelligent vehicles, robotics, automotive engineering &.

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

Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning

Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty

A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction

Cooperative Probabilistic Trajectory Prediction under Occlusion

Emergency collision avoidance and mitigation using model predictive control and artificial potential function

Safe Planning with Game-Theoretic Formulation, Reachability Analysis and Reinforcement Learning

Modeling and estimation of dynamics of time-delayed plants/processes

A quality index metric and method for online self-assessment of autonomous vehicles sensory perception

Azim Eskandarian Information

University

Position

Professor and Department Head Mechanical Engineering

Citations(all)

7491

Citations(since 2020)

2664

Cited By

5398

hIndex(all)

37

hIndex(since 2020)

26

i10Index(all)

92

i10Index(since 2020)

51

Email

University Profile Page

Virginia Polytechnic Institute and State University

Google Scholar

View Google Scholar Profile

Azim Eskandarian Skills & Research Interests

Dynamic systems and controls

autonomous/intelligent vehicles

robotics

automotive engineering &

Top articles of Azim Eskandarian

Title

Journal

Author(s)

Publication Date

Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning

arXiv preprint arXiv:2402.05066

Shathushan Sivashangaran

Apoorva Khairnar

Azim Eskandarian

2024/2/7

Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty

IEEE Transactions on Intelligent Transportation Systems

Anshul Nayak

Azim Eskandarian

Zachary Doerzaph

Prasenjit Ghorai

2024/4/9

A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction

IEEE Transactions on Intelligent Transportation Systems

Nisha Singh Chauhan

Neetesh Kumar

Azim Eskandarian

2024/3/21

Cooperative Probabilistic Trajectory Prediction under Occlusion

IEEE Transactions on Intelligent Vehicles

Anshul Nayak

Azim Eskandarian

2024/2/13

Emergency collision avoidance and mitigation using model predictive control and artificial potential function

IEEE Transactions on Intelligent Vehicles

Xu Shang

Azim Eskandarian

2023/2/13

Safe Planning with Game-Theoretic Formulation, Reachability Analysis and Reinforcement Learning

Xu Shang

Shahabedin Sagheb

Azim Eskandarian

2023/10/16

Modeling and estimation of dynamics of time-delayed plants/processes

International Journal of Dynamics and Control

Prasenjit Ghorai

Somanath Majhi

Azim Eskandarian

Saurabh Pandey

Venkata Ramana Kasi

2023/2

A quality index metric and method for online self-assessment of autonomous vehicles sensory perception

IEEE Transactions on Intelligent Transportation Systems

Ce Zhang

Azim Eskandarian

2023/9/22

EEG-fest: few-shot based attention network for driver's drowsiness estimation with EEG signals

Biomedical Physics & Engineering Express

Ning Ding

Ce Zhang

Azim Eskandarian

2023/12/1

Deep reinforcement learning for autonomous ground vehicle exploration without a-priori maps

arXiv preprint arXiv:2301.04036

Shathushan Sivashangaran

Azim Eskandarian

2023/1/10

Cooperative Probabilistic Trajectory Forecasting under Occlusion

Anshul Nayak

Azim Eskandarian

2023/9/11

A Comparison of Motion Planning Methods for Autonomous Ground Vehicle Exploration and Search

Apoorva Khairnar

Shathushan Sivashangaran

Azim Eskandarian

2023/10/29

Cooperative Perception of Connected Vehicles for Safety

Azim Eskandarian

Prasenjit Ghorai

Anshul Navak

2023

Transportation 5.0: The DAO to safe, secure, and sustainable intelligent transportation systems

IEEE Transactions on Intelligent Transportation Systems

Fei-Yue Wang

Yilun Lin

Petros A Ioannou

Ljubo Vlacic

Xiaoming Liu

...

2023/9/11

The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset

Ning Ding

Azim Eskandarian

2023/10/29

Probabilistic RRT Connect with intermediate goal selection for online planning of autonomous vehicles

IFAC-PapersOnLine

Darshit Patel

Azim Eskandarian

2023/1/1

SalienDet: A saliency-based feature enhancement algorithm for object detection for autonomous driving

IEEE Transactions on Intelligent Vehicles

Ning Ding

Ce Zhang

Azim Eskandarian

2023/6/19

XTENTH-CAR: A proportionally scaled experimental vehicle platform for connected autonomy and all-terrain research

Shathushan Sivashangaran

Azim Eskandarian

2023/10/29

AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning

IFAC-PapersOnLine

Shathushan Sivashangaran

Apoorva Khairnar

Azim Eskandarian

2023/1/1

CARMA SM

Goodarz Mehr

Prasenjit Ghorai

Ce Zhang

Anshul Nayak

Darshit Patel

...

2022

See List of Professors in Azim Eskandarian University(Virginia Polytechnic Institute and State University)

Co-Authors

H-index: 58
Yang Chen

Yang Chen

Virginia Polytechnic Institute and State University

H-index: 41
Ardalan Vahidi

Ardalan Vahidi

Clemson University

H-index: 38
Youping Chen

Youping Chen

University of Florida

H-index: 23
Lance Hoffman

Lance Hoffman

George Washington University

H-index: 17
Jeremy Blum

Jeremy Blum

Penn State University

H-index: 12
Murat BÜYÜK

Murat BÜYÜK

Sabanci Üniversitesi

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