Seyed Sahand Mohammadi Ziabari

Delft University of Technology | TU · Department of Control and Operations (C&O)

The airport terminals are complex sociotechnical systems, which are difficult to understand and their behavior is hard to predict. Hence, an agent-based model, the Agent-based Airport Terminal Operation Model (AATOM), has been designed to represent and analyze diverse airport terminal processes, actors, their behavior and interactions. The main iss...

Designing agent-based models is a difficult task. Some guidelines exist to aid modelers in designing their models, but they generally do not include specific details on how the behavior of agents can be defined. This paper therefore proposes the AbCDe methodology, which uses causal discovery algorithms to specify agent behavior. The methodology com...

IBM Demonstration Award in 19th International Conference on Practical Applications of Agents and Multi-Agent Systems Salamanca (Spain) | 6th-8th October, 2021.

The worldwide COVID-19 pandemic has had a tremendous impact on the aviation industry, with a reduction in passenger demand never seen before. To minimize the spread of the virus and to gain trust from the public in the airport operations’ safety, airports implemented measures, e.g., physical distancing, entry/exit temperature screening and more. Ho...

This paper presents a demonstration of our PAAMS 2021 paper using data-driven analysis of airport terminal operations and An Agent-based Airport Terminal Operations Model Simulator (AATOM). The goal of this paper is to demonstrate and analyze the impact of the current COVID-19 and future pandemic-related measures on airport terminal operations and...

Designing agent-based models is a difficult task. Some guidelines exist to aid modelers in designing their models, but they generally do not include specific details on how the behavior of agents can be defined. This paper therefore proposes the AbCDe methodology, which uses causal discovery algorithms to specify agent behavior. The methodology com...

This paper presents a demonstration of our PAAMS 2021 paper using data-driven analysis of airport terminal operations and An Agent-based Airport Terminal Operations Model Simulator (AATOM). The goal of this paper is to demonstrate and analyze the impact of the current COVID-19 and future pandemic related measures on airport terminal operations and...

The worldwide COVID-19 pandemic has had a tremendous impact on the aviation industry, with a reduction in passenger demand never seen before. To minimize the spread of the virus and to gain trust from the public in the airport operations' safety, airports implemented measures, e.g., physical distancing, en-try/exit temperature screening and more. H...

Discretionary activities such as retail, food, and beverages generate a significant amount of non-aeronautical revenue within the aviation industry. However, they are rarely taken into account in computational airport terminal models. Since discretionary activities affect passenger flow and global airport terminal performance, discretionary activit...

This paper presents a cognitive model on electroconvulsive treatment to reduce the stress level in body. The stress reduction is triggered by a cognitive electroconvulsive treatment that uses persistent manipulation of this treatment. The goal of this treatment is to decrease the strength between certain parts of the brain which are in charge of th...

Stress is often seen as a negative factor which affects every individ-ual's life quality and decision making. To help avoid or deal with extreme emotions caused by an external stressor, a number of practices have been introduced. In the scope of this paper, we take three kinds of therapy into account: mindful-ness, humor, and music therapy. This pa...

The influence of acute severe stress or extreme emotion based on a Network-Oriented modeling methodology has been addressed here. Adaptive temporal-causal network modeling is an approach to address the phenomena with a complexity that cannot be or are hard to be explained in a real-world experiment. In the first phase, the suppression of the existi...

In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimu...

Yoga is a practice that is thousands of years old. This practice is also included in the modern mindfulness-based stress reduction training, and its effects on our cognitive system are supported by extensive literature that comprehend mostly fMRI studies and task-oriented experiments with control groups. In this paper, the problem of testing the ef...

In this paper, an adaptive temporal causal network model based on electroconvulsive therapy to reduce the stress level of post-traumatic stress disorder (PTSD) is presented. The stress reduction is triggered by a cognitive electroconvulsive therapy that uses continuous usage of this therapy. The goal of this therapy is to decrease the strength betw...

In this paper, the effect of using sex hormones such as estrogen and producing this hormone in the body using cognitive, biological temporal-causal network model is presented. Reviewing neuroscience pieces of literature about hormone therapy shows the effect of estrogen on some brain components such as basolateral Amygdala, ventromedial Prefrontal...

In this paper a computational model of Deep Brain Stimulation (DBS) therapy for post-traumatic stress disorder is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by using electrode which placed in a specific area in brain. Several areas in brain have been used to decrease the stress level, one o...

In this paper, an adaptive cognitive temporal-causal model using psilocybin for a reduction in extreme emotion is presented. Extreme emotion has an effect on some brain components such as visual cortex, auditory cortex, gustatory cortex, and somatosensory cortex as well as motor cortex such as primary motor cortex, and premotor cortex. Neuroscienti...

In this paper, an adaptive temporal causal network model based on drug therapy named fluoxetine to decrease the stress level of post-traumatic stress disorder is presented. The stress extinction is activated by a cognitive drug therapy (here fluoxetine) that uses continuous usage of medicine. The aim of this therapy is to reduce the connectivity be...

In this paper the effect of a humor therapy is modeled based on a Network Oriented Modeling approach. Humor therapy is a mindfulness therapy which has been used since many years ago, when Abu Bakr Muhammad ibn Za-kariya al-Razi 1 as a Persian scientist who used humor theory to distinguish one contagious disease from another, to make stressed indivi...

In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological , cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stim...

Yoga is a practice that is thousands of years old. This practice is also included in the modern mindfulness-based stress reduction training, and its effects on our cognitive system are supported by extensive literature that comprehend mostly fMRI studies and task-oriented experiments with control groups. In this paper, the problem of testing the ef...

The brain is the central organ of stress and controls the adaptation to stressors, while it perceives what is potentially threatening and determines the behav-ioral and physiological responses. Post-traumatic stress disorder (PTSD) is a mental health disease in which an individual has been exposed to a traumatic event that involves actual or immine...

The brain is the central organ of stress and controls the adaptation to stressors, while it perceives what is potentially threatening and determines the behavioral and physiological responses. Post-traumatic stress disorder (PTSD) is a mental health disease in which an individual has been exposed to a traumatic event that involves actual or imminen...

In this paper, an adaptive temporal causal network model based on drug therapy named fluoxetine to decrease the stress level of post-traumatic stress disorder is presented. The stress extinction is activated by a cognitive drug therapy (here fluoxetine) that uses continuous usage of medicine. The aim of this therapy is to reduce the connectivity be...

In this paper a software environment to support Network-Oriented Modeling is presented. The environment has been implemented in Matlab. This code covers the principles of modeling by temporal-causal networks. The software environment has built-in options for network adaptation principles such as the Hebbian Learning principle from Neuroscience and...

This paper presents the connection between exam or test anxiety and the illicit use of Ritalin (methylphenidate). Ritalin is used by students as a cog-nitive enhancer and thus to increase their learning and memory abilities. However , a side effect of Ritalin is altered fear reactions to stimuli. Thus, this paper aims to gain insight in the mechani...

In this paper the effect of a music therapy is modeled based on a Net-work-Oriented Modeling approach. Music therapy is a mindfulness therapy used since many years ago. The presented adaptive temporal-causal network model addresses music therapy for a person who in a first phase develops an extreme stressful emotion due to an ongoing stressful even...

In this paper a computational model of a therapy for post-traumatic stress disorder by medicines is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by injections. Several medicines have been used to decrease the stress level. The presented temporal-causal network model aims at integrative modeli...

In this paper a computational analysis is presented of differences between men and women in coping with extreme emotions. This analysis is based on an adaptive temporal-causal network model. It takes into account the suppression of connections between preparation states and sensory representations of action effects due to an extreme stressful emoti...

In this paper a computational analysis is presented of differences between men and women in coping with extreme emotions. This analysis is based on an adaptive temporal-causal network model. It takes into account the suppression of connections between preparation states and sensory representations of action effects due to an extreme stressful emoti...

In this paper the effect of a music therapy is modeled based on a Network Oriented Modeling approach. Music therapy is a mindfulness therapy used since many years ago. The presented adaptive temporal-causal network model addresses music therapy for a person who in a first phase develops an extreme stressful emotion due to an ongoing stressful event...

In recent literature from Neuroscience the adaptive role of the effects of stress on decision making is highlighted. The problem addressed in this paper is how that can be modelled computationally. The adaptive effect of acute severe stress on decision making is addressed based on a Network-Oriented Modeling approach. The presented adaptive tempora...

In recent literature from Neuroscience the adaptive role of the effects of stress on decision making is highlighted. The problem addressed in this paper is how that can be modelled computationally. The presented adaptive temporal-causal network model addresses the suppression of the existing network connections in a first phase as a result of the a...

In this paper the effect of a mindfulness therapy is addressed based on a Network-Oriented Modeling approach. The considered therapy is Autogenic Training, that can be used when under stress; it has as two main goals to achieve feeling heavy and warm body parts (limbs). Mantra's have been used in therapies since long ago to make stressed individual...

In this paper a computational analysis is presented of differences between men and women in coping with extreme emotions. This analysis is based on an adaptive temporal-causal network model. It takes into account the suppression of connections between preparation states and sensory representations of action effects due to an extreme stressful emoti...

In this paper, the effect of a mindfulness therapy based on a Network-Oriented Modeling approach is addressed. The considered therapy is Autogenic Training that can be used when under stress; it has as two main goals to achieve feeling heavy and warm body parts (limbs). Mantras have been used in therapies since long ago to make stressed individuals...

Given the increasing popularity of digital media and the use of digital data, including voice, text, image, and video, almost all organizations and institutions, the application of steganography to authenticate the digital data origin is seemingly an absolute necessity. In recent years, there were concerns about the rise of unauthorized use of such...

Video Steganography and Steganalysis

Given the increasing popularity of digital media and the use of digital data, including voice, text, image, and video, almost all organizations and institutions, the application of steganography to authenticate the digital data origin is seemingly an absolute necessity.In recent years, there were concerns about the rise of unauthorized use of such...

Video Steganography Embedding file (The H264 encoder is written by Prof. Almuhit in Matlab)

Video Steganography Extracting file (The H264 encoder is written by Prof. Almuhit in Matlab)

Finding Characters in Plates using Neural Networks

Take pictures from videos (Plates)

time and date of pics from videos

White flag in Iranian plates (upbound threshold)

Red flag of Iran in plates (upbound threshold)

Green flag of Iran in plates (downbound threshold)

Green flag of Iran in plates (upbound threshold)

Car license plate detection

White flag in Iranian plates (downbound threshold)

Red flag of Iran in plates (downbound threshold)

Plate detection using flag of Iran in the plates

Digital Image watermarking using evolutionary algorithms reviews (Specifically Genetic Algorithm) and present a new method for multi-objective watermarking

Frame extraction in car plate detection

Histogram in plate detection

Iranian car detection second try

During the recent years, the act of using image watermarking attracted a lot of attentions. Proposing a watermarking algorithm which can resist against different attacks is somehow difficult. So with increasing the robustness of the watermarking algorithm against some famous attacks and also with keeping up other evaluation factors in the watermark...

Manual Erosion threshold

Angle Adjustment of Iranian Car plate

Erosion function in plate detection

Filtering Car plates

‫Iraninan_Car_License_Plate_Detection & Recognition (97 pages)

The enhancement of image watermarking algorithm robust against particular attack by using genetic algorithm is presented here. There is a trade-off between imperceptibility and robustness in image watermarking. To preserve both of these characteristics in digital image watermarking in a logical value, the genetic algorithm is used. Some factors wer...

Split_Car_Plate

During the recent years, the act of using image watermarking attracted a lot of attentions. Proposing a watermarking algorithm which can resist against different attacks is somehow difficult. So with increasing the robustness of the watermarking algorithm against some famous attacks and also with keeping up other evaluation factors in the watermark...

Watermarking in the regions which knew as an edge of the image with some filters which uses as an edge detection improves the watermarking results. But since there is an embedding strength coefficient, finding the best values for this coefficient needs an optimization work. Here, genetic algorithm is used for finding the best values of embedding co...

Watermarking in the regions which knew as an edge of the image with some filters which uses as an edge detection improves the watermarking results. But since there is an embedding strength coefficient, finding the best values for this coefficient needs an optimization work. Here, genetic algorithm is used for finding the best values of embedding co...

Intelligent Image Watermarking (110 pages)

The selection of both the transform domain and the particular algorithm that is used for the embedding of the watermark, depend heavily on the application. One of the most widely used transform domain for watermarking of still digital images is Discrete Cosine Transform domain. The optimized image watermarking using genetic algorithm is presented h...

Intelligent Image Watermarking (Embedding part is deleted intentionally)

Intelligent Image Watermarking

Results_simple-wireless test_Network Simulator (Data Communication and Networking )

Speech Recognition (LPC)

Speech Processing (MFCC)

simple-wireless test_Network Simulator (Data Communication and Networking )

Eigenvalues(EVD)