Newark, NJ, United States
Newark, NJ, United States

The New Jersey Institute of Technology is a public research university in the University Heights neighborhood of Newark, New Jersey. NJIT is New Jersey's Science & Technology University. Centrally located in the New York metropolitan area, its campus is within walking distance of downtown Newark. New York City, 9 miles , and about thirty minutes away, is directly accessible from campus via the Newark City Subway and the PATH rapid transit system.Founded in 1881 with the support of Newark's 19th-century industrialists and inventors especially Edward Weston , NJIT opened as Newark Technical School in 1884. Application oriented from inception, the school grew into a classic engineering college – Newark College of Engineering – and then, with the addition of a School of Architecture in 1973, into a technology-oriented university that is now home to five colleges and one school.NJIT opened with 88 students most of whom attended part-time. As of fall 2014, the university enrolls more than 10,600 students, over 2,200 of whom live on campus. NJIT's 48-acre campus was extensively re-landscaped in the past decade. Architecturally significant buildings include Eberhardt Hall, the Campus Center, and the Central King Building – the old Central High School of Newark in the Collegiate Gothic style – which is being renovated into a STEM center.NJIT offers 128 degree programs including 50 undergraduate majors and 78 graduate programs. Via its Honors College it also offers professional degree programs in collaboration with nearby institutions. These include a program in medicine with New Jersey Medical School , and an accelerated engineering + law program with Seton Hall Law School.The university is organized into 27 academic departments. Three departments, Biological science, History, and Theater Arts, are federated with Rutgers–Newark whose campus borders NJIT's. With a student population that is almost 20% international NJIT consistently ranks among the 10 most ethnically diverse national universities in the country. It has multiple study abroad options along with extensive co-op, internship, and service opportunities. The university awarded 2,242 degrees in 2014 including 1129 Bachelors, 1058 Masters, and 55 PhDs. According to PayScale , NJIT ranks 19th among Engineering Schools and 32nd among Research Universities in the US by Salary Potential.Research at NJIT has grown substantially in the past decade, exceeding $107 million in 2013. Areas of focus include: nanotechnology, materials science, biomedical engineering , signal processing, transportation planning, and solar physics. Regarding the latter, the school operates both the Big Bear Solar Observatory , and the Owens Valley Solar Array . A leader in applied mathematics, its Department of Mathematical science is recognized as one of the most productive in the country. NJIT also focuses on economic development; two examples of which are the Enterprise Development Center , an on-campus business incubator that currently houses 90 start-ups, and the New Jersey Innovation Institute. An early leader in distance learning – it trademarked the term "Virtual Classroom" – the university offers a wide range of on-line courses and degrees.NJIT is a member of the Association of Public and Land-grant Universities. It is also a sea-grant college, and a member of the Association of Collegiate Schools of Architecture. A leader in attracting first-generation, low-income, and underrepresented students into STEM fields, the university has participated in the Ronald E. McNair Post-Baccalaureate Achievement Program since 1999. Wikipedia.


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Patent
New Jersey Institute of Technology | Date: 2016-09-14

Carbon nanotube (CNT) immobilized membranes for harvesting pure water from air include CNTs incorporated into a layer of super-absorbing polymer. The super-absorbing polymer may be cast over a porous substrate. The super-absorbing polymer binds strongly to water and generates water clusters while the CNTs are operable to interrupt the specific water-polymer and water-water interactions to generate more free water which permeates more easily through the membrane. Methods of forming the CNT immobilized membranes are provided. The CNT immobilized membranes disclosed herein exhibit improved water vapor extraction efficiency, water vapor removal and mass transfer coefficient.


Patent
New Jersey Institute of Technology | Date: 2016-11-09

A hydrogel composition is provided that includes crosslinked dextran and dextran sulfate. The hydrogel composition may be included in a matrix that includes an osmotically active material immobilized in the matrix. The hydrogel composition can be combined into superabsorbent preparations that are capable of adsorbing large amounts of water. The superabsorbent preparations have advantages in the use of absorbent materials for physiological fluids, such as diapers, incontinence products, wound dressings and the like, as well as agricultural and environmental applications. In addition, biodegradable superabsorbents of the invention can be prepared.


Patent
New Jersey Institute of Technology | Date: 2016-04-21

Provided is an electroactive structure for growing isolated differentiable cells comprising a three dimensional matrix of fibers formed of a biocompatible synthetic piezoelectric polymeric material, wherein the matrix of fibers is seeded with the isolated differentiable cells and forms a supporting scaffold for growing the isolated differentiable cells, and wherein the matrix of fibers stimulates differentiation of the isolated differentiable cells into a mature cell phenotype on the structure.


Patent
New Jersey Institute of Technology | Date: 2015-08-07

This invention relates to Tribal Abstraction Networks (TAN), a new type of Abstraction Network designed for hierarchies that do not have attribute relationships, assuming only the existence of multiple parents. A Tribal Association network can summarize the content and structure of terminology hierarchies and support their Quality Assurance (QA) by identifying concepts with a higher likelihood of incorrect or missing IS-A relationships.


Wei Z.,New Jersey Institute of Technology
Nucleic acids research | Year: 2011

We develop a statistical tool SNVer for calling common and rare variants in analysis of pooled or individual next-generation sequencing (NGS) data. We formulate variant calling as a hypothesis testing problem and employ a binomial-binomial model to test the significance of observed allele frequency against sequencing error. SNVer reports one single overall P-value for evaluating the significance of a candidate locus being a variant based on which multiplicity control can be obtained. This is particularly desirable because tens of thousands loci are simultaneously examined in typical NGS experiments. Each user can choose the false-positive error rate threshold he or she considers appropriate, instead of just the dichotomous decisions of whether to 'accept or reject the candidates' provided by most existing methods. We use both simulated data and real data to demonstrate the superior performance of our program in comparison with existing methods. SNVer runs very fast and can complete testing 300 K loci within an hour. This excellent scalability makes it feasible for analysis of whole-exome sequencing data, or even whole-genome sequencing data using high performance computing cluster. SNVer is freely available at http://snver.sourceforge.net/.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: CRII CISE Research Initiation | Award Amount: 174.05K | Year: 2017

This research aims to create innovative software to broaden access to free online programming education. As computing continues to be increasingly important in the 21st century, more people are turning to discretionary online resources to learn related skills such as computer programming. These resources are great tools to teach the public in large numbers, which is important for economic development and innovation. However, many of these resources struggle to keep their users engaged, which is a critical component for learning. Building interactive systems that can detect users disengagement and adapt to their needs will become increasingly important in teaching the next generation of learners. Access to these types of free, customized learning experiences will benefit everyone, but especially those in underrepresented groups and/or those living in rural or low income areas, who might not have quality computing education resources available to them otherwise.

This project builds on Gidget, an online educational learning tool designed to teach novices introductory computer programming concepts through debugging puzzles. This project aims to integrate predictors into the tool that can detect struggling and disengaged learners, so that appropriate action(s) can be taken to help them. The curriculum generator component will produce and deliver customized levels to provide struggling learners more practice with concepts they are having difficulty with. The reengage component will produce and display just in time feedback to help reengage disengaged learners. This research will shed new insights into the effectiveness of these techniques on learners engagement (operationalized as total time spent using the tool and total number of concepts completed) and learning outcomes (determined by a pre-post test of knowledge) in an online educational programming tool, and inform the design of other interactive educational tools. This work contributes to the fields of computing education, interactive educational tools, human-computer interaction, intelligent tutoring systems, and learning science.


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: SOLAR-TERRESTRIAL | Award Amount: 137.00K | Year: 2017

The research program of this five-year CAREER project has the potential to significantly advance knowledge on key topics in heliophysics and astrophysics, namely the physical mechanism(s) responsible for releasing a large amount of energy catastrophically and accelerating charged particles to high energies in a short timescale. By developing unique methods enabled by the new radio observing technique, the project will fill a major gap in the knowledge of the location and properties of the energy release site by tracing accelerated electrons, mapping dynamic shocks, as well as deriving energetic electron distribution and magnetic field in and around the flaring region. It is expected that the knowledge gained from this project will impact not only the field of solar physics, but also many other heliophysical and astrophysical contexts where similar physical processes occur in the magnetized plasma.

This CAREER project will utilize a new generation of radio telescopes, including the Expanded Owens Valley Solar Array and the Jansky Very Large Array, to study solar explosions with a fundamentally new technique: broadband radio dynamic imaging spectropolarimetry. This technique enables the capability of obtaining a high-resolution radio spectrum from every pixel of a radio image at a cadence of tens of milliseconds. Complemented by multi-wavelength data in optical, ultraviolet, and X-rays, these radio observations will provide revolutionarily new diagnostic methods to probe fundamental physical processes behind these explosive events. Topics of the proposed research project will be integrated into teaching and mentoring students at all levels. A Solar Radio Laboratory (SRL) will be built on campus to serve as a new teaching facility for student education and hands-on training in both physics and engineering. The PI will also contribute to the development of a new graduate curriculum in solar and space physics under the framework of the multi-institutional Hale Collaborative Graduate Education (COLLAGE) program. The PI will create a course module for the COLLAGE program by integrating his specialties in high-energy solar physics, current research topics, and hands-on teaching/training resources enabled by the SRL.

Improved knowledge on the origin of solar explosive events is critical to understanding the basic science needed to meet the goals of the National Space Weather Strategy and Action Plan, which aims to develop tools to forecast space weather and mitigate its impacts. The experience gained from this project will also form the basis for developing the Frequency Agile Solar Radiotelescope (FASR), which is a transformative solar radio telescope recommended by two decadal surveys for construction in this decade. The educational component of this program will educate and train students at all levels in cutting-edge observations, instrumentation, and modeling through the SRL platform. The development of the Hale COLLAGE Program will foster the growth of next-generation solar and space physicists by providing effective education and hands-on training for students at NJIT and other institutions. The research and EPO agenda of this CAREER project supports the Strategic Goals of the AGS Division in discovery, learning, diversity, and interdisciplinary research.


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: | Award Amount: 1.27M | Year: 2016

This proposal will inaugurate a CyberCorps®: Scholarship for Service (SFS) program at the New Jersey Institute of Technology (NJIT) under the name Secure Computing Initiative (SCI). It proposes a novel cyber-security education model that combines four main features: (1) flexible cyber-security curricula; (2) experiential learning; (3) research-based learning; and (4) multi-tier mentoring. This model requires the funded students to participate in both in-class and out-of-class learning activities. In addition, it interleaves strong theoretical knowledge acquired in traditional courses with hands-on practical skills acquired in project-based courses. As part of the NJIT?s Cybersecurity Research Center, the project will establish an SFS lab to enable research-based learning. A team of PhD students, supported by the college, will mentor the SFS-funded MS and BS students. As part of the mentoring process, students will get an advice from the Security Clearance Advisory Board composed of NJIT administrative staff members who went through the clearance process during their previous careers. The board members will help the students understand the clearance process and also assist them when they are going through the process. The project team will work with NJIT?s Career Development Services (CDS) to achieve 100% placement for the SFS students. CDS has nurtured and maintained a long term relationship with governmental agencies and achieved high rates of placement for permanent positions as well as internships and coop opportunities.

The SCI program is designed to fulfill the national needs for cyber-security experts, to enhance discovery while promoting learning, and to increase the participation of women and under-represented groups in cybersecurity. SCI will also produce scientific results and publicly available software that will help the nation better protect against new cyber threats. Many of the proposed activities involve contact with the general public, and are prone to sensitize the society to the importance of cybersecurity. The outreach activities also include an enrichment program for high school students that focuses on cybersecurity education.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: Secure &Trustworthy Cyberspace | Award Amount: 599.99K | Year: 2017

Video-based traffic monitoring systems have been widely used for traffic management, incident detection, intersection control, and public safety operations. Current designs pose critical challenges. First, it relies heavily on human operators to monitor and analyze video images. Second, commercially available computer vision technologies cannot satisfactorily handle severe conditions, such as weather and glare, which significantly impair video image quality. Third, the simultaneous transmission of numerous video signals to a central facility creates extreme demands on the communications network, which can lead to jamming. This project presents a novel approach that incorporates wireless sensor networks, hierarchical edge-computing, and advanced computer vision technology. The methods can be expanded to address a wide spectrum of potential applications including wrong-way driving alerts, congestion detection under bad weather conditions, accident scene management support, suspect vehicle tracking, wildfire detection and alert, and emergency evacuation, which could save lives and hundreds of billions of dollars annually. It also aligns with the smart city initiative.

By using bluetooth/WiFi detection technology, the trajectories and speeds of vehicles equipped with such devices will be collected. This information, along with the captured video data, will be analyzed by the proposed computer vision software, installed at the edge of the network on cloudlets, to perform fast detection and prioritization of the video streams from different cameras. The proposed hierarchical edge-computing paradigm will not only enable real-time big data analysis at the edge but will also be demonstrated and actualized to perform timely efficient video analytics. Depending on the weather conditions, different detection and prioritization algorithms will be activated. Video coding will then be implemented to transmit the selected video streams to the central back-end system for further processing. If an incident is detected by the algorithm either at the edge or at the back-end, a necessary feedback action will be taken, such as calling an emergency group, the highway safety dispatch, or the police. Under a technical partnership with New Jersey Department of Transportation, multiple pilot tests of the proposed system will be implemented on selected highway corridors designated by the department.


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: STELLAR ASTRONOMY & ASTROPHYSC | Award Amount: 729.24K | Year: 2016

As our closest star, the Sun provides an important laboratory to study the processes that govern stars in our Galaxy. The Sun is also the primary driver for the space weather that impacts human life on Earth. The Sun emits electromagnetic radiation from radio to X-ray wavelengths. This proposal will support both the science and operations of a dedicated solar facility the Expanded Owens Valley Solar Array (EOVSA) that will observe the Sun at radio wavelengths. The EOVSA will provide a valuable resource to the solar physics community making important contributions to the science of the solar atmosphere, the 3-dimensional (3D) structure of solar active regions, and the drivers of space weather. The proposal will also support the education and training of the next generation of solar scientists with the involvement of students on levels ranging from high school to graduate students to postdoctoral researchers.

This proposal will support the science and operations of the Expanded Owens Valley Solar Array (EOVSA) as a community facility. EOVSA is a solar-dedicated radio interferometer array, located at Owens Valley Radio Observatory (OVRO), in Owens Valley, CA. The science that will be accomplished with the facility includes: (1) locating the acceleration site in solar flares, elucidating the acceleration mechanism(s) for high-energy electrons, and understanding the initiation and evolution of the electron energy distribution; (2) determining the magnetic field strength, direction, temperature, and density as a function of height in the solar atmosphere, including routine mapping of the coronal magnetic field up to several times per day, in order to understand the 3D structure of the solar atmosphere and the initiation mechanisms of solar activity; (3) obtaining daily full-disk images of the F10.7 brightness temperature and eruptive events in order to study the physical mechanisms of magnetically and radiatively dominated processes that impact the Earth and near-Earth space environment; (4) detecting, cataloging, and studying the spectral and temporal evolution of radio flares from flare stars and other nighttime transient sources.

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