Stevens Institute of Technology is a private, coeducational research university located in Hoboken, New Jersey, United States. The university also has a satellite location in Washington, D.C.. Incorporated in 1870, it is one of the oldest technological universities in the United States, and was the first college in America solely dedicated to Mechanical Engineering. The campus encompasses Castle Point, the highest point in Hoboken, and several other buildings around the city.Founded from an 1868 bequest from Edwin Augustus Stevens, enrollment at Stevens includes more than 5,000 undergraduate and graduate students representing 47 states and 60 countries throughout Asia, Europe and Latin America. The university is home to three national Centers of Excellence as designated by the U.S. Departments of Defense and Homeland Security. Two members of the Stevens community, as alumni or faculty, have been awarded the Nobel Prize: Frederick Reines , in Physics, and Irving Langmuir , in chemistry.Stevens ranks #76 in U.S. News & World Report "Best National Universities" list, #75 for undergraduate engineering and #72 for graduate engineering. Stevens also ranks #3 in the U.S. in mid-career salaries of graduates, as well as #5 in the U.S. among "Best Engineering Colleges By Salary Potential," a list compiled by payscale.com based on self-reported data.Dr. Nariman Farvardin is the seventh president of Stevens. He took office on July 1, 2011. Wikipedia.
Stevens Institute of Technology | Date: 2016-03-31
The present disclosure relates to fabricating sacrificial microfiber templates from any biocompatible and resorbable materials depending on the time needed for dissolving the microfiber template to free the endothelial tube with open lumen. Microfiber networks with distinct patterns and defined diameters initially serve as a template to support the growth of vascular cells (endothelial cells or their progenitor cells, or combined with mural cells such as pericytes) and then dissolve to form an empty endothelium lumen. The incorporation of sacrificial microfiber networks encapsulated with vascular cells into 3D cell-rich constructs allows for the creation of various vascularized tissues.
Stevens Institute of Technology | Date: 2016-10-07
An apparatus and method for modeling, interacting with and testing market behavior has a system defining a virtual market that may be used to study and test algorithmic trading and market behavior at the microstructure level. The system may use real data and time sequences and features a trading mechanism implemented by a database server, an information center, client computers and a matching engine through which a live stream of orders is matched against a static historical stream of orders. In one embodiment, the system uses real servers on a real network with inherent latency.
Stevens Institute of Technology | Date: 2014-03-13
An acoustic sensing system and method includes at least one cluster of acoustic sensors in communication with a computing device. The computing device is configured to process received acoustic signals, and provide at least one of detection of the acoustic source presence; determination of direction of arrival of an acoustic wave emitted by an acoustic source; and classification of the acoustic source as to its nature. The cluster may include at least two sensors and the computing device may be configured to process the received acoustic signals and provide localization of the acoustic source in three dimensions. The cluster of acoustic sensors may comprise at least one seismic wave sensor.
Stevens Institute of Technology | Date: 2016-11-30
A system, method and apparatus having a mobile device with a plurality of radio access technologies, a server computer in the cloud running a cognitive offloader and cloud scheduler improves the execution time and reduces energy use of an application program residing on or accessible to the mobile device and having a plurality of components by apportioning executable tasks and routing data between the mobile device and the server computer based upon a cognitive offloader algorithm aware of dynamic parameters such as CPU and memory use, energy costs for transmissions and measurements of connectivity. The scheduling of tasks apportioned between the computing devices in the system may be enlightened by a component dependency graph of the application that is used by the offloader algorithm.
Stevens Institute of Technology | Date: 2016-12-09
A wireless sensor includes a sensing element, a signal conditioning element, and a passive RFID tag. The sensing element is adapted to provide an electrical response indicating whether a physical parameter applied to the wireless sensor has exceeded a predetermined threshold. The signal conditioning element is electrically coupled to the sensing element and is adapted to detect the electrical response of the sensing element. The passive RFID tag is electrically coupled to the signal conditioning element. The passive RFID tag is adapted to be powered by an interrogation by an RFID reader, to receive an indication of the electrical response from the signal conditioning element, and to transmit the indication to the RFID reader.
Stevens Institute of Technology | Date: 2017-03-06
A nerve guidance conduit includes one or more guidance channels formed as porous polymeric structures. The guidance channels are within an outer tubular structure that includes randomly-oriented nanofibers. The guidance channels may have electrospun nanofibers on their inner and outer surfaces in a parallel alignment with the guidance channels. Such aligned nanofibers may also be present on the inner surface of the outer tubular structure. The outer surfaces of the guidance channels and the inner surface of the tubular structure define additional guidance channels. Such a nerve guidance conduit provides augmented surface areas for providing directional guidance and enhancing peripheral nerve regeneration. The structure also has the mechanical and nutrient transport requirements required over long regeneration periods.
Stevens Institute of Technology | Date: 2017-01-26
The present disclosure relates to a system, apparatus and method through which novice or new investors can begin to invest by using the knowledge shared by seasoned investors, who are incentivized to do so by commissions based on their success. The system follows users through each point in a social investment process, and directs users in novel ways to execute a purchase faster. A user discovers other user portfolios through recommendations made using multi-stage collaborative portfolio filtering. From there, processes are defined for following and mimicking a portfolio to display the contents thereof, create personal copies of the portfolio or its strategies, and subscribe to periodic or timely updates on the portfolio. Through this system and processes, investment portfolios are curated, and metrics are created to rank user success and further refine recommendations.
Stevens Institute of Technology | Date: 2017-02-09
The present disclosure relates to Compute-Communicate Continuum (CCC) technology, which challenges todays use model of Computing and Communications as independent but interfacing entities. CCC technology conflates computing and communications to create a new breed of device. Compute-Communicate Continuum metal algorithms allow a software programmer to compile/link/load and run his software application directly on device hardware providing Super Computing and Extreme Low Latency links for demanding financial applications and other applications. CCC based multiple CCC-DEVICE hardware platforms can be interconnected using its ELL Metal Shared Memory Interconnects form what looks like a single machine that crosses different geographies, asset classes, and trading venues. Thus, the technology enables the creation of a new category of Compute-Communicate devices (CCC-DEVICE Series appliances) that can connect multiple geographically distributed locations with extreme low latency and provide supercomputing for distributed data using High Performance Embedded Computing (HPEC) and Extreme Low Latency (ELL) Communications.
Agency: NSF | Branch: Standard Grant | Program: | Phase: CAREER: FACULTY EARLY CAR DEV | Award Amount: 500.00K | Year: 2016
This Faculty Early Career Development (CAREER) grant will test the hypothesis that technology firms can make strategic decisions about the architecture and modularity levels of systems and products, so that they can use distributed innovation networks while keeping their competitive advantage in the market. In a paradigm shift from the traditional model in which product development is driven by internal R&D activities, new product development in many technology firms today relies on distributed innovation. In distributed innovation, a large number of autonomous firms, individuals and communities form a network through their common connection with an underlying technical system. Outcomes of this research will significantly improve the ability of engineers and product developers to make strategic decisions regarding systems architecture, determine the degree of openness and modularity of product platforms, and make design decisions to trigger or strengthen long-lasting cycles of distributed innovation. This, in turn, will increase the social value of design through more informed strategic architecture decisions. This research builds on several disciplines including complex and social network analysis, game theory, engineering design and complex adaptive systems. The educational objectives include integration of the science of complex socio-technical networks with engineering design to create activities that foster interdisciplinary analytical thinking in current and future engineers.
To model the interaction of system architecture with dynamics of innovation and competition, a three-layer model will be developed. A unique aspect of the research is that it explores how to use explicit dynamic network representations of components, knowledge, and market competition, and the interaction between them to improve architecture decisions in order to maximize delivered value. In this sense, the research uses recent advances in network theory to bridge the gap between the engineering design and organization science and innovation management. Dynamics of modularity will be used, as a proxy for structural changes in each of these layers and network-embedded game-theoretic methods will be applied to create analytical models that relate technology modularity to market modularity. Stylized models will also be created to explore necessary conditions for stimulating episodes of architecture-driven, self-reinforcing distributed innovation. The theoretical thrust is complemented by an empirical study of the rapid transformation of the commercial wireless industry via absorbing CMOS technology, and the role of product architecture and changes in system modularity at each stage of this transformation for the ten-year period that led to the commercialization of smartphones. The educational activities include designing short, interactive workshops on complex networked systems for high school students, and collaborating with a science museum in New York City to integrate some of the results of the research part of this grant on multi-level networks into their visual, interactive infrastructure for K-12 students. At the college level, tasks are aimed at integrating recent developments in complex network methods and multi-agent systems in engineering design at undergraduate and graduate levels.
Agency: NSF | Branch: Standard Grant | Program: | Phase: ELECT, PHOTONICS, & MAG DEVICE | Award Amount: 500.00K | Year: 2016
The proposed work will generate the required fundamental and technological knowledge for applying the millimeter-wave technology to biomedical imaging applications. Despite the various advantages of this low-cost technology in a biomedical imaging context including high image contrasts and suitable penetration depths, it has not been applied to any such application. The main reason is its limitation in providing sufficient resolutions for diagnostic purposes. This proposal offers a novel approach by which an ultra-wide imaging bandwidth that cannot be realized by any conventional design method is assembled synthetically. This will improve image resolutions to values previously unattained. The main focus of this proposal is the development of a portable and low-cost skin imaging device that can image tissue layers over their depths with high resolutions while offering satisfactory contrasts between malignant and normal tissues. By diagnosing skin tumors at an early stage, the device will save tremendous amounts of time, effort, and patient discomfort and provide significant cost reductions for both the individual patient and the nations healthcare system. The proposed research will be combined with various educational and outreach efforts aimed at involving graduate, undergraduate, and high school students in the proposed research and raising their interests in bio-electromagnetics and bio-medical imaging. The PI will specifically pursue the following main goals: 1) engaging high school students through the Liberty Science Centers Partners in Science program, 2) recruiting undergraduate students, especially from female and minority groups, through the Summer Scholars Research Program at Stevens Institute and motivating them to continue towards graduate studies, 3) participating in the events and seminars organized by the Center for Healthcare Innovation at Stevens, 4) establishing a course on biomedical applications of electromagnetics at Stevens, and 5) disseminating the results of the research at professional conferences and technical journals.
Synthetic ultra-wideband millimeter-wave imaging, a novel approach in which an ultra-wide imaging bandwidth will be explored. This cannot be realized by any conventional design method and is therefore assembled synthetically, resulting in significant improvements in the resolution of acquired images. The synthetic increase is achieved by dividing the desired bandwidth into a number of adjacent sub-bands or channels. Each channel contains an antenna unit which is optimized for operation within that specific sub-band. The sub-band antennas are successively placed in front of the target, transmit their signals, and record the backscattered responses. The responses are then processed and combined to synthesize an integrated signal as if it were collected from a virtual equivalent ultra-wideband antenna. By using this concept, the challenges of realizing high-performance ultra-wideband antennas in the millimeter-wave regime are alleviated as each antenna is optimized within a limited bandwidth. An imaging system will be developed based on this approach for the detection of skin tumors in ex-vivo tissue measurements. The system will be optimized and miniaturized through developing a new class of wideband, miniaturized patch antennas for use in multi-static sensor arrays. The final imaging setup will be readily applicable to point-of-care and hand-held imaging devices. The
synthetic ultra-wideband imaging approach will lead to image resolutions which are unachievable using conventional imaging methods. The approach is versatile, as the number and position of the channels can be adjusted to cover any frequency range as required for the specific application. These capabilities bring a whole new level of functionality to millimeter-wave imaging systems and enable applications that are not currently feasible. Furthermore, the new class of wideband, miniaturized patch antennas which will be developed for the miniaturization and optimization of the final imagining setup will be highly desirable for a variety of communication and imaging applications in the millimeter-wave regime.