|
Okan Ersoy
Okan Kadri Ersoy (born September 5, 1945, in İstanbul, Turkey) is a professor of electrical engineering and director of Statistical and Computational Intelligence Laboratory at Purdue University, West Lafayette School of Electrical and Computer Engineering. He is a Fellow of IEEE, a Fellow of OSA and a Fellow of ISIBM. Ersoy contributed to the research and education in computer science and engineering, artificial intelligence and bioinformatics. He is on the editorial boards of '' International Journal of Functional Informatics and Personalized Medicine'' and '' International Journal of Computational Biology and Drug Design''. He is also on the advisory board of '' IJCBS''. Biography He received B.S.E.E. degree from Boğaziçi University (Formerly Robert College) in Istanbul in 1967; M.S.E.E. degree in 1968, MS degree in Systems Science and PhD in Electrical Engineering in 1972 respectively, all from University of California at Los Angeles (UCLA) with specialization on La ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Istanbul
Istanbul ( , ; tr, İstanbul ), formerly known as Constantinople ( grc-gre, Κωνσταντινούπολις; la, Constantinopolis), is the List of largest cities and towns in Turkey, largest city in Turkey, serving as the country's economic, cultural and historic hub. The city straddles the Bosporus strait, lying in both Europe and Asia, and has a population of over 15 million residents, comprising 19% of the population of Turkey. Istanbul is the list of European cities by population within city limits, most populous European city, and the world's List of largest cities, 15th-largest city. The city was founded as Byzantium ( grc-gre, Βυζάντιον, ) in the 7th century BCE by Ancient Greece, Greek settlers from Megara. In 330 CE, the Roman emperor Constantine the Great made it his imperial capital, renaming it first as New Rome ( grc-gre, Νέα Ῥώμη, ; la, Nova Roma) and then as Constantinople () after himself. The city grew in size and influence, eventually becom ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Diffractive Optics
Diffraction is defined as the interference or bending of waves around the corners of an obstacle or through an aperture into the region of geometrical shadow of the obstacle/aperture. The diffracting object or aperture effectively becomes a secondary source of the propagating wave. Italian scientist Francesco Maria Grimaldi coined the word ''diffraction'' and was the first to record accurate observations of the phenomenon in 1660. In classical physics, the diffraction phenomenon is described by the Huygens–Fresnel principle that treats each point in a propagating wavefront as a collection of individual spherical wavelets. The characteristic bending pattern is most pronounced when a wave from a coherent source (such as a laser) encounters a slit/aperture that is comparable in size to its wavelength, as shown in the inserted image. This is due to the addition, or interference, of different points on the wavefront (or, equivalently, each wavelet) that travel by paths of d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OSA Fellow
The Optica Fellow is a membership designation of Optica (formerly known as The Optical Society (OSA)) that denotes distinguished scientific accomplishment. The bylaws of this society only allow 10% of its membership to be designated as an Optica Fellow. The Optica Fellow requires peer group nomination. The nominee An Optica member can only become an Optica Fellow when nominated by a peer group of other current Optica Fellows. Review of the nomination is then passed to the Optica Fellow Members Committee. This committee then nominates the candidate to the Board of Directors on an annual basis. Finally, the purpose of this award is to designate a member as one who has "made significant contributions to the advancement of optics". The process The process includes actively identifying possible candidates who might qualify for this award. Contributing factors for qualification are diverse within the optics community. These factors include significant or distinguishing scientific a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IEEE Fellow
As of 2019, the Institute of Electrical and Electronics Engineers (IEEE) has 5,082 members designated Fellow, each of whom is associated with one of the 41 societies under the IEEE. The Fellow grade of membership is the highest level of membership, and cannot be applied for directly by the member – instead the candidate must be nominated by others. This grade of membership is conferred by the IEEE board of directors in recognition of a high level of demonstrated extraordinary accomplishment. * Aerospace and Electronic Systems Society ::See List of fellows of IEEE Aerospace and Electronic Systems Society * Antennas & Propagation Society ::See List of fellows of IEEE Antennas & Propagation Society * IEEE Broadcast Technology Society ::See List of fellows of IEEE Broadcast Technology Society * Circuits and Systems Society ::See List of fellows of IEEE Circuits and Systems Society * Communications Society ::See List of fellows of IEEE Communications Society * Components, Packagi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Purdue University School Of Electrical And Computer Engineering
The Elmore Family School of Electrical and Computer Engineering (ECE) is the largest academic unit at Purdue University College of Engineering. The School of ECE offers both undergraduate Bachelor of Science, B.S. degree as well as master's degree, M.S. and Doctor of Philosophy, Ph.D. graduate degrees in Electrical Engineering and Computer Engineering. The school enrolls over 1,900 undergraduates (sophomores through seniors) and over 1,300 graduate students. ''U.S. News & World Report'' ranks Purdue's Electrical Engineering 9th and Computer Engineering 10th at the Undergraduate level [America's Best Colleges 2023]. The Graduate programs in both Computer Engineering and Electrical Engineering are ranked 9th [America's Best Graduate Schools 2023] The online MS program in Electrical Engineering is ranked #1 in the nation (U.S. News & World Report, 2023). History The School of Electrical and Computer Engineering (ECE) was established in 1888 with Louis Bell, Professor of Applied Elect ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computational Intelligence
The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence. Generally, computational intelligence is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which mathematical or traditional modelling can be useless for a few reasons: the processes might be too complex for mathematical reasoning, it might contain some uncertainties during the process, or the process might simply be stochastic in nature. Indeed, many real-life problems cannot be translated into binary language (unique values of 0 and 1) for computers to process it. Computational Intelligence therefore provides solutions for such problems. The methods used are close to the human's way of reasoning, i.e. it uses inexact an ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Electrical Engineering
Electrical engineering is an engineering discipline concerned with the study, design, and application of equipment, devices, and systems which use electricity, electronics, and electromagnetism. It emerged as an identifiable occupation in the latter half of the 19th century after commercialization of the electric telegraph, the telephone, and electrical power generation, distribution, and use. Electrical engineering is now divided into a wide range of different fields, including computer engineering, systems engineering, power engineering, telecommunications, radio-frequency engineering, signal processing, instrumentation, photovoltaic cells, electronics, and optics and photonics. Many of these disciplines overlap with other engineering branches, spanning a huge number of specializations including hardware engineering, power electronics, electromagnetics and waves, microwave engineering, nanotechnology, electrochemistry, renewable energies, mechatronics/control, and electrical m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Optical Communications
Optical communication, also known as optical telecommunication, is communication at a distance using light to carry information. It can be performed visually or by using electronic devices. The earliest basic forms of optical communication date back several millennia, while the earliest electrical device created to do so was the photophone, invented in 1880. An optical communication system uses a transmitter, which encodes a message into an optical signal, a channel, which carries the signal to its destination, and a receiver, which reproduces the message from the received optical signal. When electronic equipment is not employed the 'receiver' is a person visually observing and interpreting a signal, which may be either simple (such as the presence of a beacon fire) or complex (such as lights using color codes or flashed in a Morse code sequence). Modern communication relies on optical networking systems using optical fiber, optical amplifiers, lasers, switches, routers, and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Support Vector Machines
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories by Vladimir Vapnik with colleagues (Boser et al., 1992, Guyon et al., 1993, Cortes and Vapnik, 1995, Vapnik et al., 1997) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974). Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non- probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). SVM maps training examples to points in space so as to maximise the width of the gap between the two categories. New ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Decision Trees
A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning. Overview A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent classification rules. In decision analysis, a decision tree and the closely related influence diagram are used as a visual and analytical decision support tool, where the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Networks
A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
