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Alireza Bab-Hadiashar

Alireza Bab-Hadiashar

D-Index & Metrics

Computer Science

D-Index
36
Citations
4585
World Ranking
11366
National Ranking
342

Overview

Alireza Bab-Hadiashar is affiliated with RMIT University in Australia. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Networks and Communications.

The researcher has contributed extensively to topics related to advanced imaging and sensing technologies. Key research themes include:

  • Advanced Vision and Imaging
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Anomaly Detection Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • Video Surveillance and Tracking Methods
  • Additive Manufacturing Materials and Processes

Notable recent publications include:

  • "Sensor-based safety management" (2020) published in Automation in Construction
  • "Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles" (2020) in IEEE Transactions on Intelligent Vehicles
  • "A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0" (2020) in IEEE Access
  • "Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter" (2020) in IEEE Transactions on Signal Processing
  • "Multiple instance-based video anomaly detection using deep temporal encoding-decoding" (2022) in Expert Systems with Applications

Frequent collaborators include researchers Reza Hoseinnezhad, Ruwan Tennakoon, Amirali Khodadadian Gostar, David Suter, and WeiQin Chuah. This network of coauthors reflects a strong collaborative effort in their research activities.

Publications by this scientist appear regularly in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • Swinburne Research Bank (Swinburne University of Technology)

Their research works cover 112 publications in computer science and 80 in engineering. Among subfields, the highest concentration of work is found in Computer Vision and Pattern Recognition with 53 publications, followed by Artificial Intelligence with 35 publications. Mechanical Engineering and Industrial and Manufacturing Engineering also represent significant areas of output.

Best Publications

  • An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics

    Khalid Yousif;Alireza Bab-Hadiashar;Reza Hoseinnezhad

  • A comparison of reactive robot chemotaxis algorithms

    R.Andrew Russell;Alireza Bab-Hadiashar;Rod L. Shepherd;Gordon G. Wallace

  • RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

  • Robust Optic Flow Computation

    Alireza Bab-Hadiashar;David Suter

  • Adaptive intelligent energy management system of plug-in hybrid electric vehicle

    Hamid Khayyam;Alireza Bab-Hadiashar

  • Calibration of Resolver Sensors in Electromechanical Braking Systems: A Modified Recursive Weighted Least-Squares Approach

    R. Hoseinnezhad;A. Bab-Hadiashar;P. Harding

  • Sensor-based safety management

    Amin Asadzadeh;Mehrdad Arashpour;Heng Li;Tuan Ngo

  • Robust segmentation of visual data using ranked unbiased scale estimate

    Alireza Bab-Hadiashar;David Suter

  • Optimizing decisions in advanced manufacturing of prefabricated products: theorizing supply chain configurations in off-site construction

    Mehrdad Arashpour;Yu Bai;Guillermo Aranda-mena;Alireza Bab-Hadiashar

  • Range image segmentation using surface selection criterion

    A. Bab-Hadiashar;N. Gheissari

  • Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles

    Duong Phan;Alizera Bab-Hadiashar;Mojgan Fayyazi;Reza Hoseinnezhad

  • Intelligent Sensorless ABS for In-Wheel Electric Vehicles

    Amir Dadashnialehi;Alireza Bab-Hadiashar;Zhenwei Cao;Ajay Kapoor

  • Robust Multi-Bernoulli Sensor Selection for Multi-Target Tracking in Sensor Networks

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

    Hamid Khayyam;Jemal Abawajy;Bahman Javadi;Andrzej Goscinski

  • Robust Model Fitting Using Higher Than Minimal Subset Sampling

    Ruwan B. Tennakoon;Alireza Bab-Hadiashar;Zhenwei Cao;Reza Hoseinnezhad

  • A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0

    Hamid Khayyam;Ali Jamali;Alireza Bab-Hadiashar;Thomas Esch

  • Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter

    Amirali Khodadadian Gostar;Tharindu Rathnayake;Ruwan Tennakoon;Alireza Bab-Hadiashar

  • Multi-Bernoulli sensor-selection for multi-target tracking with unknown clutter and detection profiles

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Intelligent Sensorless Antilock Braking System for Brushless In-Wheel Electric Vehicles

    Amir Dadashnialehi;Alireza Bab-Hadiashar;Zhenwei Cao;Ajay Kapoor

  • Multi-bernoulli sensor control via minimization of expected estimation errors

    Amirali K. Gostar;Reza Hoseinnezhad;Alireza Bab-Hadiashar

  • Centralized multiple-view sensor fusion using labeled multi-Bernoulli filters

    Xiaoying Wang;Amirali K. Gostar;Tharindu Rathnayake;Benlian Xu

  • Stochastic optimization models for energy management in carbonization process of carbon fiber production

    Hamid Khayyam;Minoo Naebe;Alireza Bab-Hadiashar;Farshid Jamshidi

  • Multi-sensor control for multi-object Bayes filters

    Xiaoying Wang;Reza Hoseinnezhad;Amirali K. Gostar;Tharindu Rathnayake

  • Calibration of resolver sensors in electro-mechanical braking systems: A modified recursive weighted least squares approach

    R Hoseinnezhad;A Bab-Hadiashar;P Harding

  • (In Press) Multi-bernoulli sensor control via minimization of expected estimation errors

    A Khodadadian Gostar;R Hoseinnezhad;A Bab-Hadiashar

Frequent Co-Authors

Reza Hoseinnezhad
Reza Hoseinnezhad RMIT University
David Suter
David Suter Edith Cowan University
Zhenwei Cao
Zhenwei Cao Swinburne University of Technology
Hamid Khayyam
Hamid Khayyam RMIT University
Ajay Kapoor
Ajay Kapoor Swinburne University of Technology
Minoo Naebe
Minoo Naebe Deakin University
Luigi Chisci
Luigi Chisci University of Florence
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Tat-Jun Chin
Tat-Jun Chin University of Adelaide
Giorgio Battistelli
Giorgio Battistelli University of Florence

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