Istanbul, Turkey
Istanbul, Turkey

Bahçeşehir University is a private educational institution in Turkey, located at the European side of Istanbul. The Turkish National Assembly authorized the establishment of the University of Bahçeşehir by the Bahçeşehir Uğur Education Foundation in 1998. An academic and strategic protocol was signed shortly after with San Diego State University in California, USA. The enrollment of the first students was made after the first placement exam in 1999–2000 academic year.The University consists of 9 Faculties and 1 Vocational School3 Institutes provides post graduate education.14.304 registered student study at the university.The number of undergraduate students is 8.900.The number of graduate students is 4213.The number of associate degree students is 1191.920 academic lectures.454 administrative personnel work at the UniversityThere are 2 campuses in Istanbul.Bahçeşehir University Library, which is established on 1.400 meter square field renders service with 242.088 publications, 117.988 books and 124.100 electronic books.5 different café and restaurant renders service in campus.1633 activities were held at the University in 2009-2010 academic year.The total audience capacity of the conference halls is 1000.Bahçeşehir University was given the “Superbrands of Turkey” award in 2007.Bahçeşehir Uğur Educational Institutions owns 36 kindergarten, 20 elementary and 11 high schools, and 180 private educational centers in Turkey.The current rector is Prof. Dr. Şenay Yalçın. Wikipedia.


Time filter

Source Type

Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP-SICA | Phase: HEALTH.2010.2.1.2-3 | Award Amount: 3.88M | Year: 2010

SYSPATHO focuses on the development of novel and generally applicable mathematical methods and algorithms for systems biology. These methods and algorithms will be applied to study the complex interactions of hepatitis C virus (HCV), a human-pathogenic virus of high medical relevance, with its host at the systems level. Using a multidisciplinary, integrative approach, PATHOSYS will (a) develop methods to analyze and integrate a wide variety of data from wet lab experiments, databases and biological literature, (b) develop and apply machine learning tools to reconstruct and study intracellular interaction networks from experimental data, (c) develop new and improve existing algorithms and mathematical methods for bottom-up modelling, to fit models to data, and to analyze the dynamic behaviour of models (d) generate new experimental data to gain novel insights into hepatitis C virus host interactions, and (e) use the newly developed methods and data to model and analyze HCV-host interactions at the systems level. Guided by biological data, PATHOSYS focuses on the design of novel algorithms and mathematical methods for systems biology, with the aim to provide generally applicable tools to elucidate biological processes. Based on developed models and using systems analysis, PATHOSYS will elucidate virus host interactions of Hepatitis C virus at an unprecedented level. As a direct spin-off, models and analysis methods developed in PATHOSYS will lead to the identification of new candidate host cell target genes applicable for the design of novel anti-viral drugs against hepatitis C. Targeting of host cell factors will reduce the likelihood for the development of therapy resistance and increase the chance for broad-spectrum antivirals. Inclusion of two SME partners will ensure exploitation of results generated in PATHOSYS and their transfer into industrial and pharmaceutical applications, thus strengthening economy and health care system in Europe.


Sofiyev A.H.,Suleyman Demirel University of Turkey | Kuruoglu N.,Bahcesehir University
Composite Structures | Year: 2015

In this study, the buckling of functionally graded (FG) truncated conical shells subjected to external pressures under mixed boundary conditions is investigated. The mixed boundary conditions are as follows: at one end of FGM truncated conical shell is a sleeve that prevents its longitudinal displacement and rotation, and the other end is a free support. The basic equations of FG truncated conical shells are derived using Donnell shell theory. To solve of this problem is used new approximation functions and basic equations are solved using the Galerkin method for the two cases of mixed boundary conditions. The results are compared and validated with the results available in the literature. The influences of truncated shell characteristics, material compositions and boundary conditions on the critical lateral and hydrostatic pressures are investigated. © 2014 Elsevier Ltd.


Gur B.,Bahcesehir University
Journal of the Acoustical Society of America | Year: 2014

In this paper, a subtractive beamforming algorithm for short linear arrays of two-dimensional particle velocity sensors is described. The proposed method extracts the highly directional acoustic modes from the spatial gradients of the particle velocity field measured at closely spaced sensors along the array. The number of sensors in the array limits the highest order of modes that can be extracted. Theoretical analysis and numerical simulations indicate that the acoustic mode beamformer achieves directivity comparable to the maximum directivity that can be obtained with differential microphone arrays of equivalent aperture. When compared to conventional delay-and-sum beamformers for pressure sensor arrays, the proposed method achieves comparable directivity with 70%-85% shorter apertures. Moreover, the proposed method has additional capabilities such as high front-back (port-starboard) discrimination, frequency and steer direction independent response, and robustness to correlated ambient noise. Small inter-sensor spacing that results in very compact apertures makes the proposed beamformer suitable for space constrained applications such as hearing aids and short towed arrays for autonomous underwater platforms. © 2014 Acoustical Society of America.


This work addresses the need for a fully-retarded theoretical model for surface plasmons on metal nanoparticle chains and arrays embedded in a multilayered medium. The proposed method uses dyadic layered medium Green's functions not only to obtain the electric field created by an oscillating electric dipole but also to modify the polarizability of nanoparticles in a multilayered medium appropriately. Theoretically calculated resonance frequencies show a very good agreement with the experimental results found in the literature. Theoretical results suggest that surface plasmon propagation lengths of 1 μm are possible using silver or gold nanoparticles embedded in a multilayered medium. © 2010 Optical Society of America.


Tunga M.A.,Bahcesehir University
Mathematical and Computer Modelling | Year: 2011

Dealing with univariate or bivariate data sets instead of a multivariate data set is an important concern in interpolation problems and computer-based applications. This paper presents a new data partitioning method that partitions the given multivariate data set into univariate and bivariate data sets and constructs an approximate analytical structure that interpolates function values at arbitrarily distributed points of the given grid. A number of numerical implementations are also given to show the performance of this new method. © 2011 Elsevier Ltd.


Melikoglu M.,Bahcesehir University
Renewable Energy | Year: 2013

Electricity consumption of Turkey at the year 2023 is estimated to be around 530,000 GWh. Turkey plans to supply 30% or 160,000 GWh of this demand from renewable energy sources according to the recently avowed government agenda Vision 2023. However, the current installed renewable energy capacity is around 60,000 GWh. Detailed literature analysis showed that only wind and solar energy potential in Turkey can solely supply this demand. In this study, two different scenarios were generated to analyse the cost and environmental impacts of supplying this demand. Scenario 1, which is derived from the official Vision 2023 targets, suggests supplying this demand from wind, solar, geothermal energy and hydropower. The total projected cost based on Scenario 1 is estimated to be $31.000 billion and annual greenhouse gas emissions of 1.05 million tonnes of CO 2 equivalent. According to Scenario 2 or the contrary setup it is assumed that the required demand gap could not be supplied from new renewable energy investments but equally from coal and natural gas. The projected cost is estimated to be around $8.000 billion and annual greenhouse gas emissions at appalling 71.30 million tonnes of CO 2 equivalent. Assuming carbon tax at the year 2023 to be $50 per tonne of CO 2 emitted, supplying the demand from renewable energy sources according to Scenario 1 would generate savings worth nearly $2.175 billion from environmental taxes annually. Thus, making the payback time of the renewable energy investments less than 15 years. © 2012 Elsevier Ltd.


Selcuk B.,Bahcesehir University
International Journal of Production Economics | Year: 2013

This paper presents an adaptive base stock policy for a repairable item inventory control problem. Base stock level of a repairable item is updated based on the work-in-process (WIP) inventory level in repair facility with update frequency modeled as a separate tactical control parameter together with a standard base stock level. Stock-out situations are handled by emergency shipments, and priority shipments are used when updating the base stock level. A single-item single-location problem is considered, with repair facility having a limited capacity, and the problem is modeled by a two-dimensional continuous-time Markov chain, which is then solved explicitly by using matrix geometric methods. Numerical results are provided that show, for a given downtime target, the new policy achieves substantial reduction in inventory on-hand and significant saving in total cost. © 2012 Elsevier B.V. All rights reserved.


Efe M.O.,Bahcesehir University
IEEE Transactions on Industrial Informatics | Year: 2011

The applications of Unmanned Aerial Vehicles (UAVs) require robust control schemes that can alleviate disturbances such as model mismatch, wind disturbances, measurement noise, and the effects of changing electrical variables, e.g., the loss in the battery voltage. Proportional Integral and Derivative (PID) type controller with noninteger order derivative and integration is proposed as a remedy. This paper demonstrates that a neural network can be trained to provide the coefficients of a Finite Impulse Response (FIR) type approximator, that approximates to the response of a given analog PIλDμ controller having time varying action coefficients and differintegration orders. The results obtained show that the neural network aided FIR type controller is very successful in driving the vehicle to prescribed trajectories accurately. The response of the proposed scheme is highly similar to the response of the target PI λDμ controller and the computational burden of the proposed scheme is very low. © 2011 IEEE.


Efe M.O.,Bahcesehir University
Asian Journal of Control | Year: 2012

This work considers the fractional order control of a lightweight quadrotor under loss in the battery voltage. Since the outdoor brushless motors are driven via a pulse width modulation (pwm) scheme, handshaking between the dynamic model and controller is established at the pwm level and this constitutes a major contribution of the paper. The attitude control is achieved via fractional order sliding mode control (FSMC) scheme. Necessary stability considerations are presented and it is seen that FSMC is a good alternative for the control of unmanned aerial vehicles. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society.


Kurra S.,Bahcesehir University
Applied Acoustics | Year: 2012

Calculation of sound transmission losses through multilayered structures that are used both in industry and in buildings, has been dealt with extensively and several models have been developed so far. The three models introduced in this paper are Insul SW based on the Sharp model with some modifications, Acousys SW using the transfer matrix and the windowing technique and FMulay SW based on the improved impedance model. Aiming to investigate the differences between these models in this study, the calculations were performed for numbers of sample building elements composed of various materials and constructions. Statistical analysis of the results in both R w (C; C tr) and 1/3 octave bands, indicate that the last two models are better correlated with each other and the differences at high frequencies are larger for all the models. When the calculated data was also compared with the earlier experimental data published before, the Insul model yields in slightly better compatibility with the experimental results, however the correlation coefficients are rather high for all the models. In this study, a confirmation of FMulay developed by the author, has been fulfilled because of the agreeable relationships with the other models and especially with the measured data. This study has evidenced that the model can be successfully implemented for further parametric studies as planned for optimum insulation design © 2012 Elsevier Ltd. All rights reserved.

Loading Bahcesehir University collaborators
Loading Bahcesehir University collaborators