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			Viral cascade probability estimation and maximization in diffusion networks
, Article IEEE Transactions on Knowledge and Data Engineering ; 28 May , 2018 ; 10414347 (ISSN) ; Beigy, H ; Sharif University of Technology
								
					IEEE Computer Society 
				
								
								
					2018
				
							
				
		
							Abstract
				
					
			
		
										
				People use social networks to share millions of stories every day, but these stories rarely become viral. Can we estimate the probability that a story becomes a viral cascade If so, can we find a set of users that are more likely to trigger viral cascades These estimation and maximization problems are very challenging since both rare-event nature of viral cascades and efficiency requirement should be considered. Unfortunately, this problem still remains largely unexplored to date. In this paper, given temporal dynamics of a network, we first develop an efficient viral cascade probability estimation method, VICE, that leverages an special importance sampling approximation to achieve high... 
				
				
				
					Viral cascade probability estimation and maximization in diffusion networks
, Article IEEE Transactions on Knowledge and Data Engineering ; Volume 31, Issue 3 , 2019 , Pages 589-600 ; 10414347 (ISSN) ; Beigy, H ; Sharif University of Technology
								
					IEEE Computer Society 
				
								
								
					2019
				
							
				
		
							Abstract
				
					
			
		
										
				People use social networks to share millions of stories every day, but these stories rarely become viral. Can we estimate the probability that a story becomes a viral cascade? If so, can we find a set of users that are more likely to trigger viral cascades? These estimation and maximization problems are very challenging since both rare-event nature of viral cascades and efficiency requirement should be considered. Unfortunately, this problem still remains largely unexplored to date. In this paper, given temporal dynamics of a network, we first develop an efficient viral cascade probability estimation method, ViCE, that leverages an special importance sampling approximation to achieve high... 
				
				
				
					Structural virality estimation and maximization in diffusion networks
, Article Expert Systems with Applications ; Volume 206 , 2022 ; 09574174 (ISSN) ; Beigy, H ; Sharif University of Technology
								
					Elsevier Ltd 
				
								
								
					2022
				
							
				
		
							Abstract
				
					
			
		
										
				Social media usage is one of the most popular online activities and people shares millions of message in a short time; however this information rarely goes viral. The diffusion process begins with an initial set of source nodes and continues with other nodes. In addition, the viral cascade is triggered when the number of infected nodes exceeds a specific threshold. Then, we find an initial set of source nodes that maximizes the number of infected nodes given the source nodes. This study aims to answer the following questions: how does a spread like a viral cascade propagate in a network? Do the structural properties of the propagation pattern play an important role in virality? If so, can we... 
				
				
				
					Multi-cass Semi-srvised Classification of Data Streams
, M.Sc. Thesis Sharif University of Technology ; Beigy, Hamid (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				Recent advances in storage and processing have provided the ability of automatic gathering of information which in turn leads to fast and contineous flow of data. The data which are produced and stored in this way are named data streams. It has many applications such as processing financial transactions, the recorded data of various sensors or the collected data by web sevices. Data streams are produced with high speed, large size and much dynamism and have some unique properties which make them applicable in precise modeling of many real data mining applications. The main challenge of data streams is the occurrence of concept drift which can be in four types: sudden, gradual, incremental or... 
				
					Fault-tolerant Attitude Control of Sattelite Using Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Asadian, Nima (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				This research aims to introduce a new integrated fault tolerant attitude control system of satellites based on the neural networks. First, a linear controller and an optimal controller are designed assuming that no fault occurs in the reaction wheels of the satellite. It is obvious that these controllers are not able to respond properly when a fault occurs. Therefore, artificial neural networks are employed in the fault tolerant controller design. Neural networks are well-known for their adaptiveness and the ability to learn the dynamics of a system. Therefore, they can be used to predict the faulty conditions. In this research two approaches are examined to deal with the faulty conditions.... 
				
					 
									
						Information and Influence Diffusion in Social Network
 
					
							
				,
		
																	
												Ph.D. Dissertation
									
		
		Sharif University of Technology
		
		
				
		
		
			;							
					Beigy, Hamid
				
				(Supervisor)
									
		
		
							Abstract
				
					
		
		
		
		
		
		
										
				People use social networks to share millions of stories every day, but these stories rarely become viral. Can we estimate the probability that a story becomes a u/rof cascade? If so, can we find a set of users that are more likely to trigger viral cascades? There are many factors influenced the message virality.  In this thesis,  we investigate the effect of graph structure, diffusion pattern as well as the message text on virality measure. Finally, the authors solve both source localization and inferring COVID-19 network via propsed methods.First, the authors investigate probability estimation and maximization of cascade virality. In this section, we develop an efficient viral cascade... 
				
					An analytical model for evaluation of wireless mesh networks
, Article 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; October , 2008 , Pages 295-300 ; 9781424427512 (ISBN) ; Ashtiani, F ; Sharif University of Technology
								
								
					2008
				
							
				
		
							Abstract
				
					
			
		
										
				Wireless mesh networks (WMNs) are well-promising future networks especially for ubiquitous connection to Internet. In this paper, we propose an analytical model in order to evaluate the maximum stable throughput of a WMN based on a simplified version of IEEE 802.11s MAC protocol. Our modeling approach is based on a multi-class open queueing network. In this respect, we map some of the important features of IEEE 802.11s MAC protocol, esp., its contention-based and contention-free periods onto different parameters of the proposed queueing network. By solving the related traffic equations and applying the stability condition, we determine the maximum stable throughput, i.e., the maximum packet... 
				
				
				
					Three-phase Model for a Fixed-bed Laboratory Scale Diesel Hydrotreating Reactor
, M.Sc. Thesis Sharif University of Technology ; Khorasheh, Fahad (Supervisor) ; Sadighi, Sepehr (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				The harmful environmental effects of gases resulting from the combustion of sulfur compounds in fuel, poisoning of catalysts, corrosion of equipment, as well as the intensification of environmental considerations and new standards adopted for the maximum amount of sulfur, have made the desulfurization of fuels important; Meanwhile, the desulfurization method using hydrogen has a high potential to remove sulfur compounds. For example, diesel fuel contains a variety of impurities such as sulfur, nitrogen (basic and Non-basic), and aromatic compounds, the sulfur in diesel fuel causes many problems related to environmental pollution and corrosion of engine components. Also, due to the high... 
				
					Design of Microfluidic Chip for 3D Cell Culture
, M.Sc. Thesis Sharif University of Technology ; Saadatmand, Maryam (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				Understanding biological systems requires extensive knowledge of individual parameters, and to study the processes of cell differentiation and cell behavior, a suitable environment must be created with the physiological conditions of the human body. For this purpose, with the knowledge of microfluidics, a microenvironment can be provided to study the behavior of cells on a small scale. The use of bone tissue model microfluidic chips is an alternative and new method in which it is possible to study the behavior of cells to differentiate into bone and to examine the toxicity of drugs, which in itself can help in the effective and successful treatment of these cases show. Therefore, in this... 
				
					Creating and detecting micro-macro photon-number entanglement by amplifying and deamplifying a single-photon entangled state
, Article Physical Review Letters ; Volume 110, Issue 17 , April , 2013 ; 00319007 (ISSN) ; Lvovsky, A ; Simon, C ; Sharif University of Technology
								
								
					2013
				
							
				
		
							Abstract
				
					
			
		
										
				We propose a scheme for the observation of micro-macro entanglement in photon number based on amplifying and deamplifying a single-photon entangled state in combination with homodyne quantum state tomography. The created micro-macro entangled state, which exists between the amplification and deamplification steps, is a superposition of two components with mean photon numbers that differ by approximately a factor of three. We show that for reasonable values of photon loss it should be possible to detect micro-macro photon-number entanglement where the macrosystem has a mean number of one hundred photons or more  
				
				
				
					Biodegradation of effluents from dairy plant by bacterial isolates
, Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 26, Issue 1 , 2007 , Pages 55-59 ; 10219986 (ISSN) ; Samadi, A ; Ghobadi, Z ; Sharif University of Technology
								
								
					2007
				
							
				
		
							Abstract
				
					
			
		
										
				Micro flora of the effluents from a dairy factory in Tehran(Pegah Dairy Processing Plant) were isolated and screened for their ability to reduce the organic matter content and COD of the effluents. 10 bacteria were selected due to reduction in COD content from the 4th to 6th day of incubation at 30 °C and pH =11. Highest COD reduction were obtained by two isolates, BP3 and BP4, 70.7 % and 69.5 %, respectively (The initial COD concentration was 3000 mg/l and reduced to 880 and 920 mg/l).After optimization of the condition for test organisms, big reductions in COD, carbohydrate, fat and protein content of the effluents were observed by BP3 up to 84.70 %, 98 %, 45.30 % and 53 %, respectively... 
				
				
				
					Effect of calcium peroxide particles as oxygen-releasing materials on cell growth and mechanical properties of scaffolds for tissue engineering
, Article Iranian Polymer Journal (English Edition) ; Volume 32, Issue 5 , 2023 , Pages 599-608 ; 10261265 (ISSN) ; Saadatmand, M ; Ghobadi, F ; Sharif University of Technology
								
					Springer Science and Business Media Deutschland GmbH 
				
								
								
					2023
				
							
				
		
							Abstract
				
					
			
		
										
				One of the challenges of building complex and functional tissues and organs in tissue engineering is transporting nutrients and oxygen to the tissue. The use of oxygen-releasing materials is one solution to overcome this challenge. In this study, alginate (Alg) 4% (w/v) was used as the main material for the scaffold, and calcium peroxide (CPO) was used to release oxygen. CPO can react with water and finally release oxygen, which leads to the elimination of hypoxia and effective distribution of oxygen in the scaffold. Multiple tests, including the oxygen release profile, degradability, swelling, porosity, and SEM images, performed on the bulk of the material showed that increasing the... 
				
				
				
					Understanding and Improving Problems of Density Estimation Using Deep Generative Models for Better Unsupervised Out-of-Distribution Detection
, M.Sc. Thesis Sharif University of Technology ; Rohban, Mohammad Hossein (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				One of the essential features of any artificial intelligence system that is safe for use in the real world is the ability to detect and generalize capabilities when encountering data outside the training data distribution. Intuitively, deep generative models that have the capability to explicitly estimate the likelihood function seem to be a suitable solution for detecting out-of-distribution data. However, recent research has shown that these models, when trained unsupervised, may assign higher likelihoods to out-of-distribution data. There is no consensus among various studies on the fundamental cause of this problem, leading to diverse approaches attempting to solve this issue through... 
				
					Study the Interaction between Cytoskleton and Cell Membrane
, M.Sc. Thesis Sharif University of Technology ; Nejat Pishkenari, Hossein (Supervisor) ; Salarieh, Hassasn (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				In this project the main aim is to model the interaction between the cytoskeleton and cell membrane. In order to model the membrane and cytoskeleton it is used a discrete model, which contains several beads. For modeling the interaction between the beads it is used different kinds of energies. It is used four potentials in a 2D model for modeling the interaction between the membrane beads and it is used SSLJ potential in order to model the interaction between the cytoskeleton and cell membrane. Furthermore, this potential is used to model the interaction between the cytoskeleton filaments. Due to this potential, the cytoskeleton filaments can cross each other in the 2D model. For modeling... 
				
					Quantum optomechanics in the bistable regime
, Article Physical Review A - Atomic, Molecular, and Optical Physics ; Volume 84, Issue 3 , September , 2011 ; 10502947 (ISSN) ; Bahrampour, A. R ; Simon, C ; Sharif University of Technology
								
								
					2011
				
							
				
		
							Abstract
				
					
			
		
										
				We study the simplest optomechanical system with a focus on the bistable regime. The covariance matrix formalism allows us to study both cooling and entanglement in a unified framework. We identify two key factors governing entanglement; namely, the bistability parameter (i.e., the distance from the end of a stable branch in the bistable regime) and the effective detuning, and we describe the optimum regime where entanglement is greatest. We also show that, in general, entanglement is a nonmonotonic function of optomechanical coupling. This is especially important in understanding the optomechanical entanglement of the second stable branch  
				
				
				
					Optomechanical entanglement in the presence of laser phase noise
, Article Physical Review A - Atomic, Molecular, and Optical Physics ; Volume 84, Issue 6 , 2011 ; 10502947 (ISSN) ; Bahrampour, A. R ; Simon, C ; Sharif University of Technology
								
								
					2011
				
							
				
		
							Abstract
				
					
			
		
										
				We study the simplest optomechanical system in the presence of laser phase noise (LPN) using the covariance matrix formalism. We show that for any LPN model with a finite correlation time, the destructive effect of the phase noise is especially strong in the bistable regime. This explains why ground-state cooling is still possible in the presence of phase noise, as it happens far away from the bistable regime. We also show that the optomechanical entanglement is strongly affected by phase noise  
				
				
				
					Biodegradation of cyanide under alkaline conditions by a strain of pseudomonas putida isolated from gold mine soil and optimization of process variables through response surface methodology (RSM)
, Article Periodica Polytechnica Chemical Engineering ; Volume 62, Issue 3 , May , 2018 , Pages 265-273 ; 03245853 (ISSN) ; Yaghmaei, S ; Ghobadi Nejad, Z ; Sharif University of Technology
								
					Budapest University of Technology and Economics 
				
								
								
					2018
				
							
				
		
							Abstract
				
					
			
		
										
				In regard to highly poisonous effects of cyanide ion, concerns have been focused recently on treatment of such compounds in different ways. Four bacterial strains (C1-C4) capable of using cyanide as nitrogen source were isolated from contaminated gold mine soil samples under alkaline conditions at 30 °C, pH 9.5-10.5, and agitation speed 150 rpm. The gram-negative bacterium C3 (identified as Pseudomonas parafulva NBRC 16636(T) by 16S rRNA gene sequencing) was able to tolerate cyanide up to 500 ppm besides removing 93.5% of 200 ppm cyanide in 13 days which was confirmed by microorganisms growth. The addition of basal salts enhanced the removal efficiency of C3 by 16%. Cyanide removal... 
				
				
				
					Investigation on the solubility of SO2 and CO2 in imidazolium-based ionic liquids using NPT Monte Carlo simulation
, Article Journal of Physical Chemistry B ; Volume 115, Issue 46 , 2011 , Pages 13599-13607 ; 15206106 (ISSN) ; Taghikhani, V ; Elliott, J. R ; Sharif University of Technology
								
								
					2011
				
							
				
		
							Abstract
				
					
			
		
										
				The solubility of sulfur dioxide (SO2) and carbon dioxide (CO2) at P = 1 bar in a series of imidazolium-based room-temperature ionic liquids (RTILs) is calculated by Monte Carlo simulation in NPT ensemble using the OPLS-UA force field and Widom particle insertion method. The studied ILs were 1-butyl-3-methylimidazolium ([bmim]+) tetrafluoroborate ([BF4]-), [bmim]+ hexafluorophosphate ([PF 6]-), [bmim]+ bromide ([Br]-), [bmim]+ nitrate ([NO3]-), [bmim]+ bis-(trifluoromethyl) sulfonylimide ([Tf2N]-), and 1-ethyl-3-methylimidazolium tetrafluoroborate ([emim][BF4]). To validate the simulations, the liquid density of studied ILs and the solubility of CO2 in [bmim][PF6] was compared with... 
				
				
				
					Production of extracellular protease and determination of optimal condition by bacillus licheniformis BBRC 100053
, Article International Journal of Engineering, Transactions B: Applications ; Volume 22, Issue 3 , 2009 , Pages 221-228 ; 1728-144X (ISSN) ; Yaghmaei, S ; Haji Hosseini, R ; Sharif University of Technology
								
					Materials and Energy Research Center 
				
								
								
					2009
				
							
				
		
							Abstract
				
					
			
		
										
				The production of protease by Bacillus licheniformis BBRC 100053 was studied. The most appropriate medium for the growth and protease production is composed of: lactose 1%, yeast extract 0.5%, peptone 0.5%, KH2 PO 4  0.1%, MgSO4 .7H2 O 0.02%. Enzyme production corresponded with growth and reached a maximums level (589 U/ml) during the stationary phase at 35°C, pH equivalent to 10 and with 150 rpm after 73 hours. Protease activity was highest at pH 8 and 45°C. The best carbon sources are respectively lactose and maltose and the best nitrogen source is peptone. The protease was highly active and stable from pH 7.0 to 11.0 with an optimum at pH 7-8.... 
				
				
				
					Biodegradation of synthetic dye using partially purified and characterized laccase and its proposed mechanism
, Article International Journal of Environmental Science and Technology ; Volume 16, Issue 12 , 2019 , Pages 7805-7816 ; 17351472 (ISSN) ; Borghei, S. M ; Yaghmaei, S ; Sharif University of Technology
								
					Center for Environmental and Energy Research and Studies 
				
								
								
					2019
				
							
				
		
							Abstract
				
					
			
		
										
				The supernatant obtained from the extracellular laccase produced by Phanerochaete chrysosporium was used as the enzyme source to conduct a partial purification, characterization and dye decolorization study. The partially purified enzyme was stable in the pH range of 3–5 and showed an optimum activity at pH 4.0, using guaiacol as a substrate. Laccase stability of pH was determined and discovered to retain 100% of its activity at a pH of 4.0 after 2 h. The maximum enzyme activity was obtained between 30 and 50 °C. The maximum velocity and Michaelis constant were calculated as 3.171 µM−1·min and 1628.23 µM, respectively. The enzyme was activated by Fe2+, Zn2+, Ca2+ and Cu2+, while Hg2+, Mn2+,... 
				
				
				
					