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    A Stochastic Model for Cancer Tumor Growth

    , M.Sc. Thesis Sharif University of Technology Miraboutalebi, Mohamad Hosein (Author) ; Foroughmand Arabi, Mohamad Hadi (Supervisor) ; Alishahi, Kasra (Co-Supervisor)
    Abstract
    Cancer can be defined as a stochastic phenomenon. Thus, the tumor growth can be defined as a stochastic process. A Cancer tumor can be analyzed by its geometric shape. Furthermore, computing fractal dimension of shapes is a useful technique to analyze chaosity and complexity of shapes. This approach can be used to compare results from laboratory with simulated results of a mathematical model. A stochastic model of tumor growth will be presented. And some geometrical properties will be analyzed through computer simulation of the model  

    Modeling the probability distribution of the bacterial burst size via a game-theoretic approach

    , Article Journal of Bioinformatics and Computational Biology ; Volume 16, Issue 4 , 2018 ; 02197200 (ISSN) Malekpour, S. A ; Pakzad, P ; Foroughmand Araabi, M. H ; Goliaei, S ; Tusserkani, R ; Goliaei, B ; Sadeghi, M ; Sharif University of Technology
    World Scientific Publishing Co. Pte Ltd  2018
    Abstract
    Based on previous studies, empirical distribution of the bacterial burst size varies even in a population of isogenic bacteria. Since bacteriophage progenies increase linearly with time, it is the lysis time variation that results in the bacterial burst size variations. Here, the burst size variation is computationally modeled by considering the lysis time decisions as a game. Each player in the game is a bacteriophage that has initially infected and lysed its host bacterium. Also, the payoff of each burst size strategy is the average number of bacteria that are solely infected by the bacteriophage progenies after lysis. For calculating the payoffs, a new version of ball and bin model with... 

    Abstract geometrical computation 10: An intrinsically universal family of signal machines

    , Article ACM Transactions on Computation Theory ; Volume 13, Issue 1 , 2021 ; 19423454 (ISSN) Becker, F ; Besson, T ; Durand Lose, J ; Emmanuel, A ; Foroughmand Araabi, M. H ; Goliaei, S ; Heydarshahi, S ; Sharif University of Technology
    Association for Computing Machinery  2021
    Abstract
    Signal machines form an abstract and idealized model of collision computing. Based on dimensionless signals moving on the real line, they model particle/signal dynamics in Cellular Automata. Each particle, or signal, moves at constant speed in continuous time and space. When signals meet, they get replaced by other signals. A signal machine defines the types of available signals, their speeds, and the rules for replacement in collision. A signal machine A simulates another one B if all the space-time diagrams of B can be generated from space-time diagrams of A by removing some signals and renaming other signals according to local information. Given any finite set of speeds S we construct a... 

    Identification of Driver Genes in Glioblastoma Based on Single-Cell Gene Expression Data Utilizing the Concept of Pseudotime and Phylogenetic Analysis

    , M.Sc. Thesis Sharif University of Technology Mirza Abolhassani, Fatemeh (Author) ; Foroughmand Aarabi, Mohammad Hadi (Supervisor) ; Kavousi, Kaveh (Co-Supervisor) ; Zare Mirakabad, Fatemeh (Co-Supervisor)
    Abstract
    Genetic heterogeneity within a tumor, which occurs during cancer evolution, is one of the reasons for treatment failure and increased chances of drug resistance. Cancer cells initially derive from a mutated progenitor cell, resulting in shared mutated genes. Throughout the course of tumor formation and progression, the occurrence of new mutations is possible, leading to the generation of cancer cells with various mutated genes. An appropriate approach is to identify the sequence of mutations that have occurred in the tumor, which can be inferred from single-cell sequencing data. Singlecell data provides valuable information about branching events in the evolution of a cancerous tumor. In... 

    A transfer learning algorithm based on csp regularizations of recorded eeg for between-subject classiftcation

    , Article 26th National and 4th International Iranian Conference on Biomedical Engineering, ICBME 2019, 27 November 2019 through 28 November 2019 ; 2019 , Pages 199-203 ; 9781728156637 (ISBN) Samiee, N ; Hajipour Sardouie, S ; Mohammad, H ; Foroughmand Aarabi ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Feature extraction and classification are the most important parts of BCI systems. The new branch of BCI studies focuses on the design of a classifier that is trained to function properly for each individual. This problem is known as Transfer Learning. In between-subject classification, due to the differences in the neural signals' distribution of different individuals, using the common methods of feature extraction for training the classifier, does not lead to high accuracy for the test subject. As a result, in this study, we present a method for extracting features that perform well in between subjects classifications. The data that we used in this study are EEG signals recorded during... 

    Study and Prioritize of the Effective Factors on Human Force Productivity in Headquarter Unit of the Technical and Vocational Training Organization Through Multiple-Attribute Decision Making Methods

    , M.Sc. Thesis Sharif University of Technology Mohammad Hashemi, Zahra (Author) ; Chamran, Mohammad Hadi (Supervisor)
    Abstract
    The main objective of all managers of the economic organizations, manufacturing and industrial companies and service providers is to take steps toward improvement and effective use of different resources like workforce, capital, materials, energy and information. To attain the desired productivity, managers have to observe requirements such as establishment of a working organizational structure, effective implementation methods, safe equipment and tools, balanced working atmosphere and qualified human force as the most important factor. Therefore productivity culture should be publicized throughout the organization, and human force should be considered as the main component of this process.... 

    Design and Quality of Service Improvement in Optical Code Division Multiple Access Networks

    , M.Sc. Thesis Sharif University of Technology Hadi, Mohammad (Author) ; Pakravan, Mohammad Reza (Supervisor)
    Abstract
    Considering the advantages of optical communications and code division multiple access technique, Optical Code Division Multiple Access Networks (OCDMANs) was introduced. Thence, many researchers have suggested methods for creating Quality of Service (QoS) differentiated classes in OCDMANs. In this thesis, we have comprehensive review on the QoS assignment methods and enhance them by offering new techniques. In physical layer, we concentrate on variable chip rate OCDMANs and in MAC sub-layer, a new algorithm named Adaptive Level Control (ALC) is introduced. Then, we focus on the physical design of OCDMANs. Firstly, we solve the problem of one-class OCDMAN and introduce few simple and... 

    Design and Real-time Code-in-the-Loop Implementation of a Cooperative Inertial Navigation Algorithm

    , M.Sc. Thesis Sharif University of Technology Zarein, Mohammad Ghasem (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this study, the cooperative inertial navigation systems are used to prevent the error growth of the inertial navigation system in unmanned aerial vehicles that fly in group. Here, the navigation problem is defined for a group of unmanned vehicles, flying with full six degrees of freedom and the objective is to estimate the navigation information of all cooperators. Due to the nonlinear equations, the decentralized extended Kalman filter is used to estimate the states of the system. This means that there is a Kalman filter in each vehicle. The inputs of this filter are the range and the bearing angles between the vehicle and the cooperators, the estimated position of the cooperators and... 

    Resource Allocation Management in Optical OFDM Networks

    , Ph.D. Dissertation Sharif University of Technology Hadi, Mohammad (Author) ; Pakravan, Mohammad Reza (Supervisor)
    Abstract
    Consistent growth in volume and dynamic behavior of traffic mandates new requirements for fast and adaptive resource allocation in modern optical networks.Elastic optical networks have been proposed to provide a competitive and scalable solution by creating tunable high-capacity optical communication networks in which network elements are configured according to the actual need to minimize resource usage for the specified service requirements. Resource allocation with quality of service constraints is one of the most challenging problems in elastic optical networks which is conventionally formulated as a complex mixed-integer nonlinear optimization program.In this research work, we focus on... 

    Integrated Navigation and Ground Effect Identification in Autolanding of UAV Utilizing Heuristic Filters

    , Ph.D. Dissertation Sharif University of Technology Mohammad Karimi, Hamed (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this study, integrated navigation systems that utilize velocity-matching algorithm and are used in automatic landing of Unmanned Aerial Vehicles (UAV) are investigated. At first, the accuracy of the navigation system in the landing phase is analyzed and the relationship between the accuracy of inertial sensors, flight parameters and the accuracy of the navigation system is derived analytically. Then, by integrating the dynamic model of the UAV and the inertial measurement unit, a new algorithm for navigation of fixed-wing UAVs is presented. The integration mechanism of the proposed algorithm is tightly coupled; hence, it is capable to eliminate the errors of UAV model and inertial system.... 

    Design and Construction of a Single Axis Stable Platform Using the Model-Based Design Approach

    , M.Sc. Thesis Sharif University of Technology Mehrabi, Mohammad Hossein (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    The perpuse of this thesis is to design and fabricate a laboratory one degree of freedom stable platform under turbulences by model-based design method. To do this, different parts of the system were first modeled in the Solidworks software and then fabricated with various tools. With proper assembly of electronic and mechanical components, the original body of the system was created. Then, the controller motor with a stable platform which is attached to it was modeled and simulated in MATLAB software. Then, the parameters of the equations were calculated using standard identification tests and TCACS optimization algorithm. One of the challenges of this thesis is the malfunction of the... 

    Combination of Linear MPC and Differential Game Theory for Optimal Cooperative Terminal Guidance Law with HIL Simulation

    , M.Sc. Thesis Sharif University of Technology Akbari, Mohammad Sadegh (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this research, a cooperative terminal guidance algorithm has been derived for simultaneous multi-interceptor collision with a target. This algorithm is obtained using the combination of model predictive control method and differential game theory. One of the features of this method is the calculation of the optimal guidance command in the form of an explicit relationship. Another feature of this method is its resistance to disturbances due to the use of differential game theory. The first innovation of this research is the use of this hybrid method to create a guidance algorithm, even in the non-cooperative guidance problem. The next innovation is in creating a cooperative terminal... 

    Joint Optimization of Computation Offloading and Resource Allocation in Mobile Edge Computing Networks

    , M.Sc. Thesis Sharif University of Technology Shokouhi, Mohammad Hossein (Author) ; Pakravan, Mohammad Reza (Supervisor) ; Hadi, Mohammad (Co-Supervisor)
    Abstract
    Mobile edge computing (MEC) is a promising technology that aims to resolve cloud computing’s issues by deploying computation resources at the edge of mobile network and in the proximity of users. The advantages of MEC include reduced latency, energy consumption, and load on access and mobile core networks, to name but a few. Despite all the aforementioned advantages, the mobility of mobile network users causes the traditional MEC architecture to suffer from several issues, such as decreased efficiency and frequent service interruption. One of the methods to manage users’ mobility is virtual machine (VM) migration, where the VM containing the user’s task is migrated to somewhere closer to... 

    Analytical Solution of the Swirl Flow in Combustion Chamber of a Hybrid Rocket Engine

    , M.Sc. Thesis Sharif University of Technology Mohammad Beiki, Shahab (Author) ; Farahani, Mohammad (Supervisor) ; Rezayi, Hadi ($item.subfieldsMap.e)
    Abstract
    Hybrid engines are one of a variety of chemical propulsion systems that have been given special attention in recent years by various industries such as space and defense. The most important reasons for considering this type of system are its high safety, its affordable price compared with liquid fuel propulsion systems, the possibility of switching on and off and changing thrust. This system has a lot of disadvantages as well. This system cannot meet all the needs of different industries due to the low regression rate and, consequently, the limitation of the operating range, thrusts and special impulse. As a result, increasing the fuel regression rate in these engines can greatly expand... 

    Optical Communication Impairments Mitigation Using Interpretable Machine Learning

    , M.Sc. Thesis Sharif University of Technology Karami, Mahyar (Author) ; Pakravan, Mohammad Reza (Supervisor) ; Hadi, Mohammad (Co-Supervisor)
    Abstract
    Optical impairments, as a challenging obstacle in optical communication systems, have been under deep attention of optical engineers in recent years. These impairments can be divided into two categories of linear and nonlinear impairments. Dispersion is a significant linear impairment leads to broadening of the optical signal and interference between transmitted symbols during detection. Nonlinear impairments such as cross-phase modulation (XPM) and self-phase modulation (SPM) also distort the transmitted signal through the fiber, causing interference at the receiver and degrading the system's performance. An appropriate solution for compensating optical fiber impairments is to utilize... 

    (Implementation of New Methods of Performance Appraisal in Electricity Industry (Rasana Cable Co

    , M.Sc. Thesis Sharif University of Technology Sadafinezhad, Neda (Author) ; Chamran, Mohammad Hadi (Supervisor)
    Abstract
    The performance evaluation involves a process by which the employees are periodically and officially evaluated. Major reasons of performance evaluation include, among others, identification of efficient employees and granting bonuses to them to create stimuli to improve their and other employees' performances. The main objective of performance evaluation constitutes study of people's performances in the organization in order for directors to take proper and required decisions to enhance both quantities and qualities of the employees' works. The performance evaluation is deemed to be a major critical function of the management of human resources to facilitate organizational effectiveness. In... 

    Distinct dynamics of migratory response to pd-1 and ctla-4 blockade reveals new mechanistic insights for potential t-cell reinvigoration following immune checkpoint blockade

    , Article Cells ; Volume 11, Issue 22 , 2022 ; 20734409 (ISSN) Safaeifard, F ; Goliaei, B ; Aref, A. R ; Foroughmand-Araabi, M. H ; Goliaei, S ; Lorch, J ; Jenkins, R. W ; Barbie, D. A ; Shariatpanahi, S. P ; Rüegg, C ; Sharif University of Technology
    MDPI  2022
    Abstract
    Cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1), two clinically relevant targets for the immunotherapy of cancer, are negative regulators of T-cell activation and migration. Optimizing the therapeutic response to CTLA-4 and PD-1 blockade calls for a more comprehensive insight into the coordinated function of these immune regulators. Mathematical modeling can be used to elucidate nonlinear tumor–immune interactions and highlight the underlying mechanisms to tackle the problem. Here, we investigated and statistically characterized the dynamics of T-cell migration as a measure of the functional response to these pathways. We used a previously... 

    Graph Signal Processing-Based Resource Allocation in Fiber-Optic Networks

    , M.Sc. Thesis Sharif University of Technology Zarei Ardestani, Mohammad Hossein (Author) ; Hadi, Mohammad (Supervisor) ; Pakravan, Mohammad Reza (Supervisor)
    Abstract
    With the advancement of technology, the volume of network traffic has also increased dramatically. The optical network, as the main part of the backbone communication system, plays a significant role in the transmission of network traffic. Due to the limited network resources, an efficient resource allocation in optical networks is required to increase network performance and reduce costs. To solve resource allocation optimization problems, an effective tool is needed to provide a suitable solution in a reasonable time. Resource allocation problems are usually developed on a graph, which is derived from network topology or other properties of the network. As a result, graph-based tools seem to... 

    Joint Functional Split and Resource Allocation Optimization in Elastic Optical Fronthaul

    , M.Sc. Thesis Sharif University of Technology Samimi Vajd, Faezeh (Author) ; Pakravan, Mohammad Reza (Supervisor) ; Hadi, Mohammad (Co-Supervisor)
    Abstract
    Dynamic reconfigurability in optical and mobile networks can facilitate heterogeneous service provisioning while utilizing minimal resources. This allows cost-efficient service delivery resulting in increased revenues for network operators. Deployment of elastic mobile and optical networks is a key driver for enabling reconfigurability in modern networks. Elastic optical networks can be utilized as the fronthaul portion of new generation of mobile networks. Such elastic optical fronthaul networks facilitate joint reconfiguration of flexible radio and optical elements and provide considerable performance improvements. This thesis focuses on the joint dynamic selection of functional splits and... 

    Dynamic Joint Allocation of Optical and Radio Resources in Converged Sliceable xhaul Networks

    , M.Sc. Thesis Sharif University of Technology Aarabi, Amirhosein (Author) ; Pakravan, Mohammad Reza (Supervisor) ; Hadi, Mohammad (Supervisor)
    Abstract
    Optimal resource allocation sustains mobile operators' competitiveness by increasing profitability. Reducing system configuration costs and enhancing accepting new requests to boost revenue provide increasing profitability. A crucial strategy in modern communication frameworks is network slicing, which assigns specific network resources to each customer to ensure its required quality of service (QoS) without interference from other slices. In our study, focusing on the xhaul network structure within fifth-generation mobile networks, we delve into joint optimization of the allocation process across three dimensions of processing, radio, and communication resources to enhance operator...