Ali Tourani

Ali Tourani
University of Luxembourg · Interdisciplinary Centre for Security, Reliability and Trust

Master of Science
Doctoral Researcher at Interdisciplinary Centre for Security, Reliability, and Trust (SnT)

About

26
Publications
26,935
Reads
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88
Citations
Introduction
Ali TOURANI joined the Interdisciplinary Centre for Security, Reliability, and Trust (SnT) as a Doctoral researcher in 2022. He completed his Master’s studies in Computer Engineering at the University of Guilan, Iran, in 2019. During his Master’s program, he held the highest average grade point among all his classmates and received the Best Student Researcher award from the Department of Computer Engineering. His research interests are Computer Vision, Machine Learning, & Situational Awareness.
Additional affiliations
February 2018 - September 2021
University of Guilan
Position
  • Lecturer
Description
  • - University Lecturer for Computational Intelligence (Fall 2019, Spring 2020) - University Lecturer for Software Laboratory (Spring 2018) - Teacher Assistant for Artificial Intelligence (Spring 2019), Parallel Processing (Fall 2018)
January 2016 - February 2020
Guilan Science and Technology Park Business Incubator
Position
  • Senior Researcher
December 2013 - present
IEHT Guilan Training Center
Position
  • Lecturer
Description
  • ICDL Courses (Primary/Advanced), Data Mining, Internet Application in Organizations, etc.
Education
September 2016 - September 2018
University of Guilan
Field of study
  • Computer Engineering
September 2009 - July 2013
University of Guilan
Field of study
  • Computer Engineering

Publications

Publications (26)
Conference Paper
Vehicle counting process provides appropriate information about traffic flow, vehicle crash occurrences and traffic peak times in roadways. An acceptable technique to achieve these goals is using digital image processing methods on roadway camera video outputs. This paper presents a vehicle counter-classifier based on a combination of different vid...
Article
Full-text available
Video-based vehicle speed measurement systems are known as effective applications for Intelligent Transportation Systems (ITS) due to their great development capabilities and low costs. These systems utilize camera outputs to apply video processing techniques and extract the desired information. This paper presents a new vehicle speed measurement a...
Conference Paper
Full-text available
Video-based Intelligent Transportation Systems (V-ITS) can play a key role in developing a wide range of applications in transportation field. These systems use the outputs of video cameras to extract desired information by the means of various artificial intelligence techniques. Considering impressive advantages of applying Deep Neural Networks (D...
Chapter
In vision-driven Intelligent Transportation Systems (ITS) where cameras play a vital role, accurate detection and re-identification of vehicles are fundamental demands. Hence, recent approaches have employed a wide range of algorithms to provide the best possible accuracy. These methods commonly generate a vehicle detection model based on its visua...
Article
Full-text available
The process of detecting vehicles’ license plates, along with recognizing the characters inside them, has always been a challenging issue due to various conditions. These conditions include different weather and illumination, inevitable data acquisition noises, and some other challenging scenarios like the demand for real-time performance in state-...
Preprint
Full-text available
Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI) recommender systems. However, the issue of contextual bias (i.e., how much consumers prefer one situation over another) has received little attention from the research c...
Preprint
Full-text available
Point-of-Interest (POI) recommender systems provide per-sonalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be impacted by data biases, resulting in unfair outcomes for different stakeholders, mainly consumers (users) and prov...
Chapter
Full-text available
Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be impacted by data biases, resulting in unfair outcomes for different stakeholders, mainly consumers (users) and provi...
Article
In vision-driven Intelligent Transportation Systems (ITS) where cameras play a vital role, accurate detection and re-identification of vehicles are fundamental demands. Hence, recent approaches have employed a wide range of algorithms to provide the best possible accuracy. These methods commonly generate a vehicle detection model based on its visua...
Preprint
Full-text available
Providing huge amounts of data is a fundamental demand when dealing with Deep Neural Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in the advent of various image datasets to feed the most common visual imagery deep structures, known as Convolutional Neural Networks (CNNs). In this regard, some datasets can b...
Conference Paper
Full-text available
امروزه نظارت ویدئویی بر مسیرهای جاده‌ای از اصلی‌ترین کاربردهای سامانه‌های حمل‌ونقل هوشمند تلقی می‌شود. دوربین‌های ویدئویی نصب‌شده در کنار جاده‌های شهری و بین‌شهری، به‌عنوان پیکربندی رایج سامانه‌های نظارتی، امکان نمایش بدون وقفه وضعیت حرکتی خودروها را فراهم می‌آورند. حوزه‌های کاربردی این دوربین‌ها در نمایش لحظه‌ای وضعیت ترافیک، اندازه‌گیری سرعت لحظه...
Conference Paper
Full-text available
Employing deep learning approaches has resulted in magnificent perfections in computer vision applications in recent years. In addition, Deep Neural Networks (DNNs) have shown to be remarkable alternatives for common shallow machine learning techniques like Support Vector Machines (SVM). Deep learning provides great solutions for both classic and m...
Article
Full-text available
Nowadays, Intelligent Transportation Systems (ITS) are known as powerful solutions for handling traffic-related issues. ITS are used in various applications such as traffic signal control, vehicle counting, and automatic license plate detection. In the special case, video cameras are applied in ITS which can provide useful information after process...
Article
سامانه‌های حمل‌ونقل هوشمند جزو جدیدترین ابزارهای مدیریت و کنترل وسایل نقلیه در دنیای امروز محسوب می‌شوند. این سامانه‌ها در حوزه‌های کاربردی متفاوتی از قبیل مدیریت ترافیک، تشخیص تخلفات و ارتباط بین زیرساخت‌های هوشمند، مورداستفاده قرار می‌گیرند. در حوزه مدیریت ترافیک، اندازه‌گیری سرعت خودروهای عبوری می‌تواند توسط اعمال فنون پردازش تصویر بر روی ویدئوی...
Presentation
Full-text available
This presentation aimed the major applications of Digital Image Processing techniques in Vision-based Intelligent Transportation Systems, which utilizes roadway/in-vehicle cameras for further processing. Some applications such as Automatic License-plate Recognition, Speed Measurement, Vehicle Count, Traffic Flow Estimation and Vehicle Type Classifi...
Presentation
Full-text available
CUDA (Compute Unified Device Architecture) is a parallel computing platform developed by Nvidia which provides the ability of using GPUs to run computationally intensive programs. This presentation provides a brief overview of CUDA, parallelism in the GPU and the syntax needed to know to run the program on GPU.
Presentation
Full-text available
This presentation introduces principal concepts of Fiber Optic Sensors (FOS) and their application in our daily lives. Optical Fibers can be used in communications, sensors (the topic of this presentation), power transmission, etc. Fiber Optic Sensors should detect changes in intensity, phase, polarization, wavelength and spectral distribution. Thi...
Conference Paper
Full-text available
Utilizing video-based instruments like surveillance cameras, shape the change in Intelligent Transportation Systems. These devices have attracted a great amount of research attention in traffic-related applications due to their appropriate output quality, easy installation, low-cost maintenance, and high flexibility. The video output of cameras is...
Presentation
Full-text available
In the beginning, we described Cloud Computing, its deployment models and the type of existing clouds. Finally, several design patterns that are well-known in this scope have been elaborated.
Presentation
Full-text available
This presentation is an introduction to Ruby programming language and Ruby on-Rails, in especial case. The architecture, applications, installation guide and project creation of Ruby on-Rails is discussed in this manuscript. Additionally, Active-Records, CRUD and Migration concepts are shown by a real example. Presentation was under supervision of...
Article
Full-text available
هدف کلی از مقوله رمز نگاری ، بررسی تکنیک‌های ریاضی مربوط به جنبه‌های ایمنی اطلاعات و ایجاد محرمانگی ، امنیت و تائید محتوا و منشا اطلاعات برشمرده میشود. رمزنگاری بصری یکی از شاخه های اشتقاق یافته از رمزنگاری است که با استفاده از کلید ها و الگوریتم های متنوع پیاده سازی، تصویر ورودی را بصورت شکسته شده و غیر قابل بازیابی و سرقت اطلاعاتی درمی آورد، سپس...
Article
Full-text available
Today, there is a great deal of information available in Web world and the only way to access them is through search relationships. Web crawler is an automated script that independently browses the web. Web crawler starts its task with a "seed URL" and then traces links available in each page. This encountered many available crawlers with essential...
Article
Full-text available
Crawler-based search engines are the mostly used search engines among web and Internet users, involve web crawling, storing in database, ranking, indexing and displaying to the user. But it is noteworthy that because of increasing changes in web sites search engines suffer high time and transfers costs which are consumed to investigate the existenc...

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Projects

Projects (4)
Project
Regarding the superb accuracy and appropriate performance of Deep Learning algorithms, employing these methods on the outputs of the cameras used in Intelligent Transportation Systems is the main scope of this project. The project contains several sub-projects, each focuses on a specific application of ITS.
Project
Rich to higher speed in frames processing for vehicle speed measurement
Project
The main scope of the project is using the outputs of roadway cameras to automatically measure vehicle speed and providing legal proof (the image of the vehicle) for authorities. The second goal is to present an almost real-time performance using Motion Detection/Tracking algorithms instead of time-consuming OCR methods.