Istanbul Şehir University is a private, non-profit university located in Istanbul, Turkey. It was established in 2008 by the Bilim ve Sanat Vakfı , a foundation for science and arts. The university started its education in the academic year of 2010-11 at its campus in Altunizade, Istanbul following a ceremony held on October 5, 2010 that was also attended by State president Abdullah Gül, Prime minister Recep Tayyip Erdoğan and Minister of Foreign Affairs Ahmet Davutoğlu. Wikipedia.
Aksakalli V.,Istanbul Sehir University
Electronic Commerce Research and Applications | Year: 2012
Internet display advertising has grown into a multi-billion dollar a year global industry and direct response campaigns account for about three-quarters of all Internet display advertising. In such campaigns, advertisers reach out to a target audience via some form of a visual advertisement (hereinafter also called "ad") to maximize short-term sales revenue. In this study, we formulate an advertiser's revenue maximization problem in direct response Internet display advertisement campaigns as a mixed integer program via piecewise linear approximation of the revenue function. A novelty of our approach is that ad location and content issues are explicitly incorporated in the optimization model. Computational experiments on a large-scale actual campaign indicate that adopting the optimal media schedule can significantly increase advertising revenues without any budget changes, and reasonably sized instances of the problem can be solved within short execution times. © 2011 Elsevier B.V. All rights reserved.
Agency: European Commission | Branch: FP7 | Program: MC-IRG | Phase: FP7-PEOPLE-2009-RG | Award Amount: 100.00K | Year: 2011
As the probe size shrinks due to finer device pitches, its current carrying capability (CCC) is also reduced, conflicting with the future wafer test requirements for power delivery. Probe burn can result in damage to probe-card or pad of wafer tested, causing significant semiconductor wafer yield loss. The approach in the test industry has been mostly experimental for baseline data for determining this key parameter-CCC of probes on probe cards. Often, the CCC of a probe calculated empirically, does not agree well with measurements for dc and especially pulsed current applications. Accurate analytical models are needed for predicting probe CCC under both dc or pulsed current test loading for probes under compression. The main goal of the proposed research is to establish fundamental understanding of the probe burn phenomena through development of accurate models of probe current carrying capacity and verification of numerical and analytical models by data collected using a precise experimental measurement methodology. We will develop advanced analytical models representing electro-thermal characteristic of contacting probe and its environment by using advanced meshing techniques to perform simulations for any probe geometry. Time dependent algorithms to predict pulsed current loading will be included in the predictive tool. There will be special focus on cantilever or MEMS-type probes where the current restriction and probe burn happens on the probe tips. The software tool developed will be help users to optimize probe design and predict CCC limits accurately, thus prevent provide probe burn failures before wafer test. Another objective is to develop a cost-effective current limiter tool via thermistors mounted on a printed-circuit-board for advanced probe card technologies. This will be demonstrated using probe-cards for specific device power requirements.
Agency: European Commission | Branch: FP7 | Program: MC-CIG | Phase: FP7-PEOPLE-2013-CIG | Award Amount: 100.00K | Year: 2013
The proposed project aims to develop a new approach in welfare state studies using new conceptualization and the state of the art statistical techniques. This fresh approach will be used to analyze the roles of four main welfare institutionsnamely the state, the family, the market, and local actors in the distribution of welfare shaped by the intersections of age, class, gender, and race relations in Europe. In order to achieve this overall objective, the following three specific objectives will be important in this project. First, this project aims to develop a new approach in welfare state and social policy studies to understand the distribution of welfare that is shaped by the intersections of age, class, gender, and race relations. Second, by comparing different societies, it is aimed to analyze future social, economic, and demographic challenges to the welfare regimes particularly with reference social inequalities. Third, it aims to reassess welfare regime typology and examine the question of path dependency of welfare policies. The methodology to be used in analyzing the welfare of the old in the various regimes depends on quantitative and qualitative secondary data and previous studies on welfare states and social policies. Since this is a cross-national research, mostly comparative data on social policies, social welfare, and demographic indicators will be used from the EuroStat and other data resources which provide comparative data for researchers.
Agency: European Commission | Branch: FP7 | Program: MC-IRG | Phase: FP7-PEOPLE-2009-RG | Award Amount: 100.00K | Year: 2010
This project describes the four years re-integration program to facilitate a successful and continuous integration of Dr. Ozdal Boyrazs research in the real time optical detection and imaging field into the EUs needs, and to support Dr. Ozdal Boyrazs re-integration to research and educational activities at the Istanbul Sehir University and in EU. Spectroscopy and imaging of biological samples with ultra high resolution are subjects of growing interest. With the advent of nanotechnology, metamaterials, and plasmonic devices the sub wavelength resolution is now a concrete possibility in microscopy. However, the current state of the art imaging tools resort to time averaged analysis to extract high resolution information from a single point at the expense of loosing information on transients and correlated events in the proximity of the focal spot. The proposed research aims to develop a real time system using time-space-wavelength encoded mesh type optical grids to capture the image in a 2-D plane in a single shot. Instead of resorting to imaging with point by point scanning via nano positioning stages, broadband coherent optical sources covering the area of interest are used to capture information from a multiple coordinates by encoding them on a designated color and a time slot to avoid scanning. The design and development of near-field focusing plates is incorporated into the project for subwavelength focusing to mitigate the resolution bottleneck and achieve sub wavelength microscopy in a single shot measurement. Space wavelength mapping has been utilized extensively for arbitrary waveform generation and microwave antenna design. The impact of this technology in bio detection and imaging is yet to be explored in subwavelength domain. Design and fabrications are compatible with conventional CMOS technology and attractive for low cost production.
Agency: European Commission | Branch: FP7 | Program: MC-CIG | Phase: FP7-PEOPLE-2011-CIG | Award Amount: 100.00K | Year: 2012
Video surveillance systems are widely deployed to keep private and public spaces safe and secure. There are over 30 million cameras in United States only, shooting 4 billion hours of video footage a week. Currently, it requires significant human supervision to analyze the videos captured by surveillance cameras. Since it is not possible to analyze all the video data with eye inspection, most of it is stored and not processed. One approach to tackle this problem is to simplify the algorithms, but this would inevitably increase the false alarm and miss rates. Another approach would be to use more computing power. Programmable Graphics Processor Units (GPUs) have evolved into multi-threaded, many-core, highly parallel processors. However, to be able to take full advantage of the GPUs, the algorithms must be highly parallel. The objective of the proposed project is to design and implement parallel video analysis algorithms optimized for the GPU. The state-of-the-art computer vision algorithms used for video analysis will be parallelized or new algorithms optimized for GPUs will be designed if needed, without compromising the performance. Theoretical work on global optimization using message passing will be done so that the convergence is fast and resulting local minimum is satisfactory. The message passing algorithm will be used in optimization stages required by most of the analytics algorithms. A metadata will be created, shared and used by the algorithms to reduce the overall running time. An analytics engine will be designed and implemented to efficiently use the results of this project, while achieving a (close to) real-time execution. Finally, this engine will be tested on video footage obtained from Istanbul Police Departments Information and Security System, which is a video surveillance system that monitors Istanbuls streets, highways, and important districts with high crime rates, accidents, and congestions.
Agency: European Commission | Branch: H2020 | Program: MSCA-IF-EF-RI | Phase: MSCA-IF-2015-EF | Award Amount: 157.84K | Year: 2016
Motivation: Wireless access is being used extensively in our life. Wireless access enabler, the frequency bands, on the other hand, is very scarce. It is very important that any wireless access system utilizes the frequency at outmost efficiency. One of the poorly utilized wireless bands is the FM Band between 88108 MHz. The band is being allocated only for relatively high quality audio broadcast around the world. This band has good propagation characteristics and therefore its coverage range and its penetration through buildings are excellent. As FM coverage is so ubiquitous around the world, several applications are already considered to better exploit this useful band: (a) Software defined radios for public safety, (b) New digital audio broadcast services, and (c) the development of an emergency message delivery services. With one of these applications and good propagation characteristics, FM Band can enable a fully connected Europe. It is of significant interest to investigate and characterize channel properties of the FM Band for the potential wireless systems. Therefore, the objective of this novel research is for the first time to develop a complete channel characterization of FM Band and then to perform analytical directional channel modelling. The newly introduced models will then be validated through field trials, and will be able to support the parameters of the contemporary wireless systems with multiple antennae. Approach: The directional channel models will be developed through (i) geometrical (ray tracing) and (ii) tapped delay line (parametric stochastic modelling) approaches by considering 2-D (time and angular) channel impulse response. The models will be based on the specification of directional channel impulse response functions, large and small channel effects. The measurement campaigns will be carried out via channel sounders. Thus, we will have the first standard directional channel models of the FM Band.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC1-PM-21-2016 | Award Amount: 7.58M | Year: 2017
STRENGTHS aims to provide effective community-based health care implementation strategies to scale-up the delivery and uptake of effective mental health interventions in different country contexts. The current refugee crisis across Europe and the Middle East effects both individual refugees psychological well-being, as they face extreme stressors in their flight from their home country, but also has large effects on the healthcare systems of countries housing refugees. In reponse to this crisis, the STRENGTHS project aims to provide a framework for scaling-up the delivery and uptake of effective community-based mental health strategies to address the specific needs of refugees within and outside Europes borders. STRENGTHS will outline necessary steps needed to integrate evidence based low-intensity psychological interventions for common mental disorders into health systems in Syrias surrounding countries taking up the majority of refugees (Turkey, Lebanon and Jordan), a LMIC (Egypt) and European countries (Germany, Switzerland the Netherlands and Sweden). The consortium is a unique partnership between academics, non-governmental organisations (NGOs), international agencies and local partners with the responsibility to provide and scale-up evidence-based mental health and psychosocial support interventions for refugees. Key preparatory steps in the local political, regulatory and governance processes for uptake and scaling-up of the intervention and key contextual and system-related factors for integration will be validated for the real-life impact on the responsiveness of the system. The low-intensity interventions and training materials will be adapted and implemented in Syrian refugees within Syrias surrounding countries taking up the majority of refugees (Turkey, Lebanon and Jordan), a LMIC (Egypt) and European countries (Germany, Switzerland the Netherlands and Sweden). STRENGTHS will disseminate and promote buy-in of a validated framework for large-scale implementation of the low intensity interventions to providers of health and social services, policy makers and funding agencies.
Agency: European Commission | Branch: H2020 | Program: MSCA-IF-EF-RI | Phase: MSCA-IF-2014-EF | Award Amount: 157.84K | Year: 2015
Ever increasing value and cost of energy has led the researchers to focus their efforts in energy efficient and cost effective systems. Additionally, the wide spreading of wireless technologies and mobile platforms require highly cost effective and energy efficient solutions for affordable products such as mobile phones, tablets, medical systems etc. that have decent performance with long battery lives. This proposal focuses on the intersection of these two trends and can be defined as energy efficient/low cost integrated circuits for wireless, bio and energy efficient systems. The objective of this research is to analyze and design highly efficient, scalable and cost effective integrated circuits for highly integrated wireless systems, energy harvesters and bio-sensors. Specifically, we will focus on analyzing and designing Switched Capacitor DC-DC converters as the main goal. These converters eliminate the need of using costly and bulky off-chip inductors and can be integrated fully on-chip for such low power applications. For higher power applications, SC DC-DC converters can be designed to work with cheaper and smaller size off-chip capacitors. In this research, we will analyze and design both versions of these converters to test their performance with critical wireless communication blocks such as VCOs and PAs. This will be the first step in utilizing these converters and switched capacitor systems in wireless systems, bio-sensors and energy harvesting solutions.
Agency: European Commission | Branch: FP7 | Program: MC-CIG | Phase: FP7-PEOPLE-2012-CIG | Award Amount: 100.00K | Year: 2013
Research and development in nanotechnology has seen an astonishing progress during the past decade, and has now provided clearer indication of its potential. There is great potential to incorporate nanotechnology-enabled products and services into almost all industrial sectors and medical fields by 2020. Resulting benefits will include increased productivity, more sustainable development, and new jobs. To advance our scientific knowledge, and to bring competitive advantage to the EU research and development in nanotechnology, PI proposes to investigate silicon carbide (SiC) and aluminum nitride (AlN) wide-bandgap semiconductor nanostructures and develop new applications of these nanostructures for energy generation, optoelectronics, and sensing. The proposed project is aimed not only to address the fundamental technical and scientific issues of 1D nanostructures, but also develop original products utilizing these materials. 1D-AlN nanostructures are extremely important for many applications in several fields including power transistors, optoelectronics, heat sinks, resonators, sensors, and nanogenerators. Similarly, due to its inherent superior properties, SiC is an excellent material for applications in many areas including microelectronics (high temperature, high power, and high frequency), thermoelectrics, optoelectronics, and biomedical. The specific research objectives are: 1) Full spectrum characterization of AlN nanostructures; 2) Development of AlN nanostructure based electricity generators (nanogenerators); 3) Full spectrum characterization of SiC nanowires; 4) Fabrication of SiC-nanowire devices for studying electrical, photoconductivity, and thermoelectric properties of the SiC nanowires. The proposed project will significantly contribute to Europes competitiveness in nanotechnology, since the project greatly overlaps with the EU-Horizon -2020s specific objective and broad lines of activities for nanotechnology research, development, and education.
Agency: European Commission | Branch: FP7 | Program: MC-IRG | Phase: FP7-PEOPLE-2009-RG | Award Amount: 100.00K | Year: 2011
This project is proposed by Dr. Muammer Ko (Principal Investigator, PI) under the International Re-integration Grant (IRG) program to support his re-integration to research and education activities in EU and at the Istanbul Sehir University (SEHIR), and to facilitate a successful and continuous integration of his research in the micro-manufacturing field of science and engineering into the EUs needs and trends. The overarching goal of this research proposal is to investigate, develop and validate accurate multi-scale material behavior models for micro-manufacturing technology. Micro-manufacturing research deals with the material behavior, process control, deformation mechanics, tribology and machine design for robust, precise, cost-effective and zero-waste fabrication of micro-scale parts (e.g., pins, connectors, gears, pumps, etc.) and micro-feature arrays on large surface areas (e.g., micro-channels, micro-pyramids, micro-cones, micro-bumps). Products or components of the second type represents good examples, and thus challenges, of multi-scale design, material modeling and manufacturing. To enable cost effective, robust and quality manufacturing of fuel cells and other similar applications, accurate modeling of micro-manufacturing processes is a must. Only with such accurate and proven models, scientists and engineers may effectively design, analyze, and manufacture micro-feature arrays on large surface areas, as in bipolar plates (BPP) of fuel cells. The prediction accuracy and effectiveness of such models hinges on the accuracy of the material behavior models at the micro-scale, where size effects become significant. The ultimate objective of this research is to establish a systematic approach for rapidly and accurately testing and modeling the behavior of metallic materials between different length scales (macro-, meso-, and micro-scales).