News Article | May 8, 2017
LearnHowToBecome.org, a leading resource provider for higher education and career information, has evaluated the top colleges in New York state for 2017. Of the 50 four-year schools who made the site’s “Best” list, Columbia University in the City of New York, Cornell University, Yeshiva University, University of Rochester and New York University were in the top five. Of the 39 two-year schools that were included, Monroe Community College, Hudson Valley Community College, Niagara County Community College, SUNY Westchester Community College and Genesee Community college took the top five spots. A full list of schools is included below. “New York state offers a wide variety of educational options, but the schools on our list are those going the extra mile for students,” said Wes Ricketts, senior vice president of LearnHowToBecome.org. “Not only do they offer outstanding certificate and degree programs, they also provide students with resources that help them make successful career choices after college.” To be included on the “Best Colleges in New York” list, institutions must be regionally accredited, not-for-profit schools. Each college is ranked on additional statistics including the number of degree programs offered, the availability of career and academic resources, the opportunity for financial aid, graduation rates and annual alumni earnings 10 years after entering college. Complete details on each college, their individual scores and the data and methodology used to determine the LearnHowToBecome.org “Best Colleges in New York” list, visit: The Best Four-Year Colleges in New York for 2017 include: Adelphi University Alfred University Barnard College Canisius College Clarkson University Colgate University College of Mount Saint Vincent Columbia University in the City of New York Cooper Union for the Advancement of Science and Art Cornell University CUNY Bernard M Baruch College CUNY City College CUNY Hunter College CUNY Queens College Daemen College D'Youville College Fordham University Hamilton College Hartwick College Hobart William Smith Colleges Hofstra University Houghton College Iona College Ithaca College Le Moyne College LIU Post Manhattan College Manhattanville College Marist College Molloy College Nazareth College New York University Niagara University Pace University-New York Rensselaer Polytechnic Institute Rochester Institute of Technology Saint John Fisher College Saint Joseph's College-New York Siena College St Bonaventure University St John's University-New York St Lawrence University Stony Brook University SUNY at Binghamton Syracuse University Union College University at Buffalo University of Rochester Vassar College Yeshiva University The Best Two-Year Colleges in New York for 2017 include: Adirondack Community College Bramson ORT College Bronx Community College Cayuga County Community College Clinton Community College Columbia-Greene Community College Corning Community College CUNY Borough of Manhattan Community College CUNY LaGuardia Community College Dutchess Community College Erie Community College Finger Lakes Community College Fulton-Montgomery Community College Genesee Community College Herkimer County Community College Hostos Community College Hudson Valley Community College Jamestown Community College Jefferson Community College Kingsborough Community College Mohawk Valley Community College Monroe Community College Nassau Community College New York Methodist Hospital Center for Allied Health Education Niagara County Community College North Country Community College Onondaga Community College Professional Business College Queensborough Community College Rockland Community College Schenectady County Community College Stella and Charles Guttman Community College Suffolk County Community College SUNY Broome Community College SUNY Orange SUNY Sullivan SUNY Ulster SUNY Westchester Community College Tompkins Cortland Community College ### About Us: LearnHowtoBecome.org was founded in 2013 to provide data and expert driven information about employment opportunities and the education needed to land the perfect career. Our materials cover a wide range of professions, industries and degree programs, and are designed for people who want to choose, change or advance their careers. We also provide helpful resources and guides that address social issues, financial aid and other special interest in higher education. Information from LearnHowtoBecome.org has proudly been featured by more than 700 educational institutions.
Agency: Department of Defense | Branch: Navy | Program: STTR | Phase: Phase II | Award Amount: 746.48K | Year: 2011
Each tactical radio uses a particular waveform that inhibits it from freely communicating with a radio on another network. There is a need for a flexible communication gateway that supports interoperability, and can automatically translate among a set of waveforms to transfer information across networks. In response to the need for a flexible gateway, MaXentric and The Cooper Union have partnered to propose an extensible software framework that can generate a communications gateway to translate information across different networks. Phase I resulted in two major contributions for further research and development. First, a system concept for a rule-based wireless communications gateway was created that translates information based on a certain set of semantics. Second, a proof-of-concept software engine was produced that can configure a gateway for translation at the physical and data link layers. In Phase II, the team plans to integrate the gateway engine with a sophisticated, wide band RF receiver and transmitter for a complete prototype. This will involve using the XG Sensor, a sophisticated, extensively tested, and inexpensive wideband receiver produced by Rockwell Collins.
Agency: Department of Defense | Branch: Missile Defense Agency | Program: STTR | Phase: Phase I | Award Amount: 99.92K | Year: 2010
The United States Missile Defense Agency (MDA) is searching for a software-defined multi-channel radar receiver that would provide improved performance and added flexibility over currently deployed radar systems. In response, MaXentric is proposing a system codenamed MASR (Manycore Adaptive Software Radar). The MASR system is composed of a hierarchy of X-band front-ends, high-speed digitizers, FPGAs, and Manycore processors that can be reconfigured and scaled to fit the requirements of individual applications. MASR will benefit the MDA with its high degree of flexibility in allowing many different radar algorithms as well as different beamforming structures, which will in turn greatly enhance MASR equipped radar systems in their ability to acquire, track, and identify ballistic missile threats.
News Article | March 2, 2017
New Vertical Village is off to an Epic Start Including the Sale of a $13M Penthouse NEW YORK, March 2, 2017 /PRNewswire/ -- Extell Development Company today announced it has sold over 100 residences, including a $13 million penthouse, at One Manhattan Square since the launch of sales in early November. Extell's largest luxury condominium project to date, One Manhattan Square is a modern glass tower along the New York Harbor on the Lower East Side. With limitless views, attainable prices and countless indoor and outdoor amenities totaling over 100,000 square feet, One Manhattan Square is a true vertical village with every conceivable luxury in Manhattan. "The strong response to the building is a testament that our offering is a smart investment, with a good current return and potential appreciation. Most of the residences at One Manhattan Square are in the $1 million to $3 million range which is product that is in the shortest supply and has the greatest demand in the current market," says Gary Barnett, President of Extell Development Company. "Residents at One Manhattan Square will live in an exceptional Extell building with amazing city and water views and incredible amenities." Among the 100 residences sold is a 3,699-square-foot, $13 million duplex penthouse featuring 5 bedrooms and 4 and a half bathrooms. The extravagant home boasts an additional 416 square feet of exterior terrace space offering a bird's eye view of the East River, Brooklyn, New York Harbor, Financial District and Midtown Manhattan. Unobstructed views can also be enjoyed from the home's grand salon and corner master bedroom suite, complete with a dressing room. The penthouse features a windowed master bathroom with steam shower and heated floors, and windowed gourmet kitchen. World-renowned architectural firm Adamson Associates Architects designed the striking glass building with interiors by Meyer Davis Studio, the design firm behind Oscar de la Renta's worldwide boutiques. Perfectly positioned to take advantage of panoramic skyline views, all of the 815 residences were intelligently planned and feature premium custom finishes. With a variety of one to three bedroom residences available, ownership in One Manhattan Square starts at $1.16 million with low carrying costs and an anticipated 20-year tax abatement. Residents at One Manhattan Square will never have to leave home with the unprecedented amenity package. Spread across four floors, the amenities were designed to provide the ultimate recreational, social and fitness experiences. Interior amenities include a spa centered on a tranquil courtyard and relaxation garden with private treatment rooms and hamam. The multi-level fitness center will offer multiple swimming pools, a bowling alley, a full-size basketball court, golf stimulators, squash court and yoga studio. Additional amenities include a state-of-the-art cinema and performance center, children's playroom and teen arcade. Sophisticated amenities, such as a culinary lounge, wine room, cigar room, cellar bar and demonstration kitchen, provide an abundance of entertainment options. West 8, the illustrious Rotterdam-based landscape architectural firm celebrated for the Hills at Governors Island and Miami's Soundscape Gardens, has created an outdoor oasis of over 45,000 square feet of landscaped areas. Lush gardens and outdoor amenities at One Manhattan Square provide meaningful spaces for socializing including fire pits, an adult tree house, a tea pavilion, stargazing observation deck, social courtyards and a covered dog run. Nowhere is New York's multicultural history more legible than in the Lower East Side. Glamour and grandeur sidle up to graffiti and grit in this proud home to avant-garde galleries, boutiques and trail-blazing bars. One Manhattan Square will be steps away from the buzzing energy of this transforming neighborhood with some of the New York's finest dining, nightlife and entertainment options. South Street Seaport and the bustling East River Esplanade are a stone's throw from One Manhattan Square. Residents will also be near the City's top schools including Parsons, New York University and Cooper Union. Extell Marketing Group is the exclusive sales and marketing firm for One Manhattan Square. Visit www.OneManhattanSquare.com for more information or call 212-252-1560 to schedule an appointment at the innovative sales and design gallery located at 220 South Street.
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 107.88K | Year: 2011
This project engages mechanical engineering (ME) students by exposing them to relevant real-world problems by making use of a new state-of-the art energy-efficient Leadership in Energy and Environmental Design (LEED) certified academic building by: (1) incorporating learning opportunities that integrate energy consumption and sustainability, and (2) developing hands-on process control laboratory experiments that supplement traditional classroom learning. The new experiments and inductive learning platforms are incorporated into an ongoing redesign of the ME program that creates a more cooperative and student-centric learning environment. The project will provide assessments of student learning outcomes that result from the new case-based and experiential learning approaches, and disseminate new curricular materials that will be modular and adaptable to a wide range of control systems curricula. A key outcome of this effort is the examination of the role of first-hand experiences and curricular improvements in attracting and retaining diverse students traditionally underrepresented in mechanical engineering.
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 15.00K | Year: 2013
This proposal will help subsidize travel-related expenses to enable U.S. researchers, particularly early-career researchers such as the PI, to attend and present their research at the Fluidization XIV conference (Fluidization XIV: From Fundamentals to Products) in Noordwijkerhout, The Netherlands (May 25-30, 2013). This proposal will support researchers from U.S. institutions that would normally not have the financial resources necessary to attend this international conference. In addition, this proposal will help support the travel costs of early-career researchers and researchers from traditionally underrepresented groups in the STEM fields that will be recruited to participate in this conference.
Fluidization is a very important field of both fundamental research and broad industrial applications. Currently, knowledge of complex fluid-particle interactions, particularly when coupled with multiphase transport phenomena and chemical reactions is still incomplete. This is primarily due to the challenges associated with coupling the solid properties of particles and their hydrodynamic behavior within a moving fluid medium. The addition of heat and mass transfer operations and also chemical reacting systems makes multiphase systems such as fluidized bed reactors a challenge to successfully design, scale-up, and operate. Although fluidized bed reactors are fairly common within the petrochemical industry, they can be found in other industries for a variety of applications such as coating and the design of new materials. Therefore, advances in fluidization research are necessary to help develop and ultimately commercialize new technologies such as CO2 capture (chemical looping), renewable energy systems, nanostructured materials, and the continuous processing of novel coated drug delivery systems. This conference will focus on advances in the field of fluidization research which impact the research and development, as well as the large-scale manufacturing of advanced materials that are common across a wide range of chemical process, life science, and food science industries.
This conference will bring together a wide range of scientists and engineers across multiple continents that are focused on fluidization research, which can have a major impact on multiple industries. By bringing together researchers who share a mutual interest in fluidization, it is expected that new international partnerships and collaborations will be established. This will be especially beneficial to the early-career researchers supported by this proposal that will have the unique opportunity to present their recent unpublished research findings in front of a congregation of established international researchers.
Agency: NSF | Branch: Standard Grant | Program: | Phase: INFO INTEGRATION & INFORMATICS | Award Amount: 30.64K | Year: 2014
The United States spends over 26 billion dollars per annum on the delivery and care of the 12-13% of infants who are born preterm. As preterm birth (PTB) is a major public health problem with profound implications on society, there would be extreme value in being able to identify women at risk of preterm birth during the course of their pregnancy. Previous predictive approaches have been largely unsuccessful since they have focused on a limited number of well described risk factors known to be correlated with preterm birth (e.g. prior preterm birth, race, and infection) and less on combining multiple factors. The latter approach is necessary to understand the complex etiologies of preterm birth. While identifying individual PTB risk factors has brought insight into the problem and has led in some cases to successful treatments such as progesterone for women with a previous preterm birth, this has only a limited impact on the overall frequency since many at risk patients, such as first time mothers (nulliparous), go untreated. Today, there is still no widely tested prediction system that combines well-known PTB factors and is clinically useful. There is, however, a global awareness of the need to discover and integrate the complex etiologies of prematurity in order to predict women at risk. Significant efforts have been made in the last couple of decades to collect large curated datasets of pregnant women. Previous studies on these datasets used relatively straightforward biostatitistical methodologies such as relative risk assessments to measure associations between factors and PTB. However, risk factors are studied independently of each other, which does not account for the multifactorial complexity of PTB. This exploratory project aims to investigate the value of more advanced machine learning methods by simultaneously considering all the factors, to develop better predictive methods.
The PTB data acquired in the context of this project brings together Electronic Health Records (EHRs) for mothers and their babies along with well-curated NIH data. The data is rich with structured clinical data and unstructured free text that require manual feature extraction. This project, largely motivated by the PTB problem, has two main goals:
(1) Improving the quality and aggregation the annotations for heterogeneous data. The researchers aim to capture socioeconomic, psychological and behavioral risk factors documented in the text of clinical notes via studying the process of manual feature extraction by human annotators. State-of-the-art methods either rely on the expertise of the annotator and/or the difficulty of the instance but ignore the variability in the quality of labeling over time due to fatigue, boredom, or knowledge. To improve the annotations, the project will develop a novel Bayesian framework for human labeling of unstructured data. The Bayesian model will embed a complete set of parameters including the prevalence of each class, difficulty of the instance and variability in the quality of annotation during the process. If the model construction is successful, then the developed framework will replace ad-hoc heuristics into a well-designed process for producing high quality annotations. This framework would allow extracting reliable features from the clinical text for subsequent analyses in devising PTB prediction models.
(2) Developing predictive models for multiple data spaces. To leverage all of the existing data, the project will investigate the value of using Vapniks paradigm of Learning Using Privileged Information (LUPI) in the context of preterm birth. Privileged information is a data that is available for training models but is not available for test examples. Data in this project come with two potential privileged information spaces namely the clinical notes and the space of future events. NICU data is an example of future event privileged information, which is only available for a subset of the examples (only premature babies requiring intensive care stay in the NICU). It has been shown that LUPI not only induces a better decision rule, it also increases the rate of convergence of the algorithm, hence requiring fewer training examples. This is a compelling property in the case of PTB prediction because of the rate of PTB. The project will extend LUPI into a powerful and applicable framework to handle the two spaces of privileged information, while developing spline-generating kernels, to manage LUPIs high computational cost. If successful, this proof-of-concept is expected to yield efficient and widely applicable LUPI algorithms in domains where privileged information is available, such as the financial domain and many other medical applications.
The developed software, publications and datasets resulting from this project will be made publicly available to the research community through the project website (http://www1.ccls.columbia.edu/~ansaf/CING/PTB/).
Agency: NSF | Branch: Standard Grant | Program: | Phase: Dynamics, Control and System D | Award Amount: 55.89K | Year: 2015
Networks of autonomous underwater and surface vehicles (AUVs and ASVs) allow direct and continuous monitoring of the ocean. New deployment strategies are needed to obtain maximum coverage from a relatively small number of vessels. This will require better understanding of the structures controlling transport in geophysical flows such as ocean currents. New results show that AUV/ASV motion planning and adaptive sampling strategies are improved by incorporating models of ocean current dynamics. However, these currents change continually and apparently unpredictably, and this makes it highly challenging to take full advantage. The goals of this project are to better understand the dynamics of the dominant structures in ocean currents, and to explore their impact on AUV/ASV autonomy. Additionally, this work will produce robust motion control strategies for both single vehicles and teams of vehicles, to track desired structure boundaries, while leveraging the environmental dynamics to prolong operational lifespan.
In pursuit of the project goals, the research objectives are to: 1) identify and evaluate key kinematic features that control transport in oceanic surface flows of greatest relevance to autonomous vehicle navigation and control, 2) develop a general mathematical and control framework for teams of autonomous vehicles that leverages key transport controlling features in oceanic flows for improved navigation and monitoring of dynamic and uncertain environments, and 3) apply the control framework to the tracking of salt wedge fronts using the WHOI Jetyaks to establish the transition from the laboratory to the ocean. This work has a significant experimental component that leverages the PIs existing research infrastructure. The work addresses the theoretical and experimental challenges needed to develop a general mathematical and control framework for applying geophysical fluid dynamics to the development of novel planning, navigation, and control strategies for individual and networked teams of autonomous vehicles.
Agency: NSF | Branch: Standard Grant | Program: | Phase: COMPUTATIONAL MATHEMATICS | Award Amount: 109.70K | Year: 2016
Advances in the synthesis of Ferrofluids (engineered fluids that respond to magnetic fields and have a number of well-established industrial applications) have increased the scope of potential applications of these fluids to new areas. Emerging applications of ferrofluids include: magnetic targeting of drugs, cell sorting in biomedical systems and magnetically driven contaminant removal. In each of these applications the use of ferrofluids enables new techniques that depend on the use of magnetic fields for remote control of the ferrofluid. However, the realization of such technologies is hampered by complexities simulation of these systems for further development and design. The proposed research program includes the development of effective, robust computational tools that will enable such simulations. In particular, the computing codes will include the particular magnetic physics of ferrofluids as well as the forces resulting from the magnetic fields, which serve as the means of control in these applications. The development of these effective simulation tools will support and accelerate innovation in these emerging these technologies. Moreover, the proposed program of code development, simulations and integrated physical experiments will serve as a proof-of-concept for the inclusion of realistic multiphysics fluid simulations for complex scientific and engineering applications. The proposed research program will involve undergraduate and masters-degree students in leading-edge research, including students who are members of groups under-represented in STEM disciplines such as women and first-generation college students.
In magnetic drug targeting, a ferrofluid whose constituent nanoparticles have been functionalized to carry theraputic drugs is directed to a tumor or other localized site (e.g., in the eye); sorting of(nonmagnetic) biological cells by immersion in a ferrofluid so that the force of an applied magnetic field depends on cell size; purification of a polluted fluid by adsorbption of contaminants to magnetic nanoparticles, which are then separated from the fluid by magnetic forces. However, advances in these applications are stymied by the complex, multi-scale and multi-physics nature of the fluid-dynamical systems in which they occur. In particular, because contemporary fluid-dynamics codes are not designed to incorporate the additional physics of magnetic-fluid systems, effective simulation with these codes is difficult. The proposal describes a plan to develop and test a new parallel, multi-phase code for fully three-dimensional flows. This project will lead to a flexible and efficient, multi-phase magnetic-fluid simulation code that is fully three-dimensional and parallelized for high-performance computing. Hence, the code will enable realistic simulations relevant to the significant applications addressed. Specifically, in order to address the above-noted applications, the code will model and simulate flows with dynamic interfaces between the ferrofluid and other fluids. Moreover, the code will implement models of viscosity effects (magnetoviscosity) as well as driving forces that result from applied magnetic fields (magnetophoresis) in a flexible manner that simplifies adjustment and updating of the models.
News Article | December 7, 2016
AccuQuilt has a new exhibit featuring seven quilt designs from the incomparable LUKE Haynes, an architect, quilter, designer who has an uncanny ability to combine different mediums to create conversational art quilts. The Quiltllaborations Exhibit will run in the AccuQuilt Gallery through January 31. Quiltllaborations is a series of collaborative projects that Haynes worked on with other artists and quilters. Haynes did most of the piecing, while artists like Liz Tran and Carlos Jesus Dominguez did the painting elements on a couple of quilts. Quilters Libs Elliott and Heidi Parkes also worked with Haynes on piecing one quilt each. Haynes strives to subvert the traditional quilting form by integrating modern concepts. He received formal training in art and architecture at The Cooper Union in New York. Haynes continues to experiment with quilting art while exploring art and architecture across the globe. He gets inspiration from the pursuit of explaining things that interest him both in terms of concept and material manipulation. A chance encounter with a box of fabric remnants sparked Haynes' imagination, and he's been experimenting with fabric ever since. Haynes developed a system to piece manageable parts into a larger whole, applying a modern design sense to a familiar process. He uses reclaimed materials from the communities he works with in his projects to speak with the textile language of the area. "We are honored to feature these incredible art quilts from such an amazing talent like LUKE Haynes," said AccuQuilt President Greg Gaggini. Haynes loves to create work that asks questions and sparks conversation; therefore, it is fitting that much of Haynes' quilts are featured in museums and galleries across the country. You can view the Quiltllaborations Exhibit online, or you can call 888.258.7913 to schedule a tour to see the exhibit in person. Visit AccuQuilt’s website for the latest information on new product releases. Headquartered in Omaha, Neb., AccuQuilt offers quilters, fabric crafters and retailers a premiere line of fabric cutters, dies, quilting patterns and other quilt and fabric cutting solutions that help quilters quickly and accurately cut shapes for quilting and fabric crafts. AccuQuilt also offers quilters a wide variety of rich educational resources to enhance their quilting experiences. Cutting with AccuQuilt cutters is a natural evolution of fabric cutting methods. "First scissors…then rotary…finally…AccuQuilt" for fast, easy, accurate fabric cutting. For more information, visit accuquilt.com or call 888.258.7913.