NJIT战略研究计划

研究 is an integral part of a strong academic experience and a critical priority in NJIT’s 2025 Strategic Plan. The university aims for national and international prominence in research through new 发现 in areas ranging from 医疗 传感器 and devices to robotics, 将纳米技术, 对网络安全, 下一代材料, among other topics of vital importance in basic, 应用和转化研究. 

The 150 new faculty members we have hired over the past five years strengthen our efforts considerably. They include experts on topics such as bio医疗 sciences and engineering, 传感器, 能源, 新材料, 机器学习, 数据分析, 以及虚拟现实. They arrive with impressive track records in securing grants from key funding agencies such as the National Science Foundation, 美国国立卫生研究院, 能源部, 和美国.S. 国防部. We are confident that their participation in our multidisciplinary centers will help NJIT reach its ambitious external funding benchmarks that has already more than doubled over the last five years. 

To achieve our research and educational goals, the university’s strategic plan calls for seamless multidisciplinary and transdisciplinary research collaborations and technology innovation-based entrepreneurship among faculty, 教职员及学生, who all have a central part to play in advancing science, engineering and technology to fuel societal progress. NJIT’s nexus of core research facilities involving York Center, Life Sciences and Engineering Center and Microfabrication Innovation Center is designed to accelerate game-changing collaborations with new teaching and research labs, rooms to conduct projects and common areas where faculty and students can socialize and share ideas.

The NJIT’s 2025 研究 Strategic Plan organizes five research clusters of high significance and societal impact aligned with the global trends in science and technology research and development.  Comprised of core and transdisciplinary basic, 应用和转化研究 interests, the five clusters in NJIT research enterprise include:   

生物科学与生物工程: This research cluster includes multidisciplinary research in the areas of bio医疗 devices, 传感器和仪表, 大脑健康 & neuroscience, tissue engineering, biological sciences & behavior, molecular biology, evolutionary sciences, and gene therapy and phenotype related research. 研究ers at NJIT are advancing our understanding of the functions of the brain and spinal cord under normal, 分子损伤和病变状态, cellular and functional levels through experimental, 理论与计算方法. 成像专家, computer scientists and bio医疗 engineers are working together, 例如, to devise therapies and devices that will improve motor, 认知和器官功能. 为此目的, our tissue engineers focus on replacing dysfunctional cells with regenerating cells and tissues. The Bioscience and Bioengineering cluster intersects with other research clusters including Material Science and Engineering, Robotics and Machine Intelligence and Data Science and Management in developing healthcare technologies and systems such as point-of-care 医疗 传感器, devices and rehabilitation systems as well as healthcare information systems and management involving primary care, hospitals and emergency care resources and protocols. 

The scope of the proposed cluster includes areas that are aligned with the NSF’s 10 Big Ideas, and the National Academy of Engineering (NAE) and the National Academy of Sciences (NAS) Grand Challenges in “Reverse Engineering of the Brain,“科学发现的工具。,” “Understanding the Rules of Life: Predicting Phenotype” and “Engineering Better Medicine.” 

数据科学与管理:  This research cluster includes the study and practice of data science and analytics, and extracting information and knowledge from data that can be used for 医疗, 金融, business management scientific and engineering applications. These groups conduct research on bioinformatics, 医学信息学, 图像处理, 数据挖掘, 日地物理, 运输, 财务管理, 工商管理, 生命科学和医疗保健.

The cybersecurity group designs secure cyber systems and improves cyber information and communications technology (ICT). ICT is shaping many aspects of society as the economy evolves rapidly, providing access to unprecedented amounts of information, 随时随地, 从任何类型的设备. By 2025, the number of global IoT (internet of Things) connections will increase from 12 billion in 2020 to more than 30 billion according to an estimate by IoT Analytics. 全球安全硬件支出, software and services is estimated to almost reaching $175 billion by 2024, 根据Statista. This cluster with a broader transdisciplinary scope with diverse applications also includes multidisciplinary research centers focused on mathematical sciences, 交通系统, additive 制造业 and wireless communications technology and industry and business management, as well as on the societal impacts of science and technology. 

The Data Science and Management cluster spans over all other research clusters including Bioscience and Bioengineering, 环境与可持续发展, Material Science and Engineering and Robotics and Machine Intelligence for developing data driven approaches in almost all applications from healthcare information systems to industry automation, 并对财务和企业管理. 

NAE and NAS Grand Challenges and NSF Big Ideas within the scope of this cluster include “Secure Cyberspace”, “先进的个性化学习”, “Enhance Virtual Reality” “Restore and Improve Urban Infrastructure”, “Engineer the 工具 of Scientific Discovery”, and “The Future of Work at the Human-Technology Frontier”, “驾驭数据革命”, “Growing Convergence 研究” and “The Quantum Leap: Leading the Next Quantum Revolution”.

环境与可持续发展: This cluster represents interdisciplinary research areas in urban ecology, 空间天气, 太阳能地面, 环境传感器, 可持续的基础设施, 智能交通系统, 全球气候变化, 生物多样性与保育, 干净的水, 废物管理, 可再生能源, 智能电网系统. The urban ecology and sustainability area emphasizes 可持续的基础设施, 智能交通, 生态社区, 以及城市建模和模拟. Space weather sciences and impact of evolutionary changes in the solar system impacts directly our environmental ecosystem and 全球气候变化s. This area also focuses on the water-能源 nexus and the impact of ocean levels on the environment, as well as the development of technologies to 干净的水 and to provide green 能源, 如生物燃料电池和强大, 持久的电池. The 环境与可持续发展 cluster intersects with other research clusters including Material Science and Engineering, Robotics and Machine Intelligence and Data Science and Management in developing smart and green buildings and sustainable communities, understanding 空间天气 and climate changes. 

NAE and NAS Grand Challenges and NSF Big Ideas within the scope of this cluster include “太阳能”, “Restore and Improve Urban Infrastructure”, “获得洁净水”, “通过核聚变提供能量”, “发展固碳方法”, and “The Future of Work at the Human-Technology Frontier”, “Navigating the New Arctic” and “Windows on the Universe”. 

材料科学与工程: This cluster represents transdisciplinary research areas in advanced materials including smart energetic and campsite materials, 量子材料, 和生物材料, 聚合物和膜技术, 纳米技术, and additive/advanced 制造业 systems. The scope of nanotechnology research includes scientific and engineering phenomena at the minutest and most fundamental levels in order to develop technologies for environmental and pharmaceutical applications. The interdisciplinary group on engineered materials and particulates focuses on technology development for the preparation, processing and use of engineered-particulate materials and their composites for a spectrum of applications. 研究 in the 制造业 systems group involves developing new methods and technologies for design innovation and process automation. A specific emphasis is to devise new processes and tools for pharmaceutical 制造业.

The Material Science and Engineering cluster spans over almost all research clusters including Bioscience and Bioengineering, 环境与可持续发展, Robotics and Machine Intelligence and Data Science and Management in developing environmental and 医疗 传感器 and devices, tissue engineering intelligent robotics and rehabilitation systems, 添加剂和制药制造, smart buildings and sustainable communities, and data driven modeling and simulation for the development and characterization of smart materials. 

NAE and NAS Grand Challenges and NSF Big Ideas within the scope of this cluster include “Restore and Improve Urban Infrastructure”, “太阳能”, “通过核聚变提供能量”, “发展固碳方法”, and “The Future of Work at the Human-Technology Frontier”, and “The Quantum Leap: Leading the Next Quantum Revolution”. 

机器人和机器智能: This research cluster includes human machine interface, cyber-human系统, 机器人:bioinspired, 医疗, 社会和工业自治系统, 智能基础设施, 人工智能, 机器学习, 增强现实和虚拟现实. Robotics and bioinspired autonomous systems are making a significant impact in the society in many areas including rehabilitation, 制造业, 航海和运输, 以及医疗和家庭护理. The 人工智能 and augmented/virtual reality applications have been evolving rapidly with the futuristic vision for new modes of automation, 发现, social networking and even co-evolution of machine and human intelligence making important decisions in our daily life from finance to healthcare.

The Robotics and Machine Intelligence cluster also interacts with other research clusters including Bioscience and Bioengineering, 环境与可持续发展, Material Science and Engineering and Data Science and Management in developing smart automation and navigation systems, 智能医疗信息系统, intelligent adaptative and data-driven automations in additive 制造业 systems, and intelligent systems for almost every application from education and learning to smart cities and living-assist systems.  

NAE and NAS Grand Challenges and NSF Big Ideas within the scope of this cluster include “先进的个性化学习”, “Enhance Virtual Reality” “Restore and Improve Urban Infrastructure”, “Engineer the 工具 of Scientific Discovery”, and “The Future of Work at the Human-Technology Frontier”, “驾驭数据革命”, “Growing Convergence 研究” and “The Quantum Leap: Leading the Next Quantum Revolution”. 

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