Covid-19

MD-NSSEC 'National Security Science & Engineering Consortium'

One of the most strategic executives who provide the vision, skills, and judgment that shape our work program and guide the activities of our staff, is Muayad Alsamaraee. Along with our talented workforce of technical and business professionals, Muayad combines applied science and systems thinking with deep domain expertise and a broad knowledge base. Muayad, acting as a creative thinker and thought partner who helps bring innovative ideas into existence. Muayad, as a Chief Executive Officer & Head of Innovation (CINO)-(CTIO), INVENTOR, SCIENTIST, CREATIVE THINKER, CHALLENGE THE STATUS QUO, INNOVATION SPECIALIST, STAMINA, THREATS, KNECT365. … Muayad an strategic leader and Chief innovation officer for several positions of strategic projects, with more than 30 years of deep knowledge and experience,  invented several patented products and solutions globally.

Muayad Dawood (Muayad S. Dawood Alsamaraee) a creative thinker, senior inventor, and innovation specialist within the sectors of Creating unclassified scientific and engineering research solutions and projects that could be the foundation for future revolutionary new capabilities, since 1991. *(Unclassified is a security classification assigned to official information that does not warrant the assignment of Confidential, Secret, or Top Secret markings but which is not publicly-releasable without authorization), are a broad category of information that includes material covered by such designations as For Official Use Only (FOUO), Law Enforcement Sensitive (LES), Sensitive Homeland Security Information, Sensitive Security Information (SSI), Critical Infrastructure Information (CII), etc. Also, we are experts with the Sensitive, but Unclassified *(SBU) information is information that is not classified for national security reasons, but that warrants/requires administrative control and protection from public or other unauthorized disclosure for other reasons.

1-Develop and/or Assist, researchers for how they will work for the  national security engineering and defense manufacturing companies, for how they can Creating unclassified scientific and engineering.

2-Develop and/or Assist, for how Foster long-term relationships between university/universities researchers and the national security engineering companies and defense manufacturing companies.

3-Familiarize governments experts with current and projected future challenges.

4-Familiarize the national security engineering companies and defense manufacturing companies, for How to Increase the number of talented technical experts of:

Engineering Biology

bio-engineering is the application of principles of biology and the tools of engineering to create usable, tangible, economically-viable products. Biological engineering employs knowledge and expertise from a number of pure and applied sciences, such as mass and heat transfer, kinetics, biocatalysts, biomechanics, bioinformatics, separation and purification processes, bioreactor design, surface science, fluid mechanics, thermodynamics, and polymer science. It is used in the design of medical devices, diagnostic equipment, biocompatible materials, renewable bioenergy, ecological engineering, agricultural engineering, and other areas that improve the living standards of societies. Examples of bioengineering research include bacteria engineered to produce chemicals, new medical imaging technology, portable and rapid disease diagnostic devices, prosthetics, biopharmaceuticals, and tissue-engineered organs. Bioengineering overlaps substantially with biotechnology and the biomedical sciences.

Embedded Technology

It represents embedded systems that has a range of applications from image processing to audio analysis. "Embedded software" is specialized programming within non-PC devices – either as part of a microchip or as part of another application that sits on top of the chip – to control specific functions of the device. Applications of Embedded Systems. Embedded Systems can be classified into four types based on the performance and functional requirement. Real Time Embedded Systems. Stand-Alone Embedded Systems. Networked Embedded Systems. Mobile Embedded Systems.

Embedded AI

Embedded AI is a blanket term for the use of machine and deep learning inside a software platform that improves aspects of an employee's day-to-day. Natural Language Processing(NLP) Natural Language Processing(NLP) is an area of AI concerned with the interaction between the computer and human language. In simple words, NLP is a software that enables machines to process human language, thus making it possible for humans to communicate effectively with machines. The goals of artificial intelligence include learning, reasoning, and perception. AI is being used across different industries including finance and healthcare. Weak AI tends to be simple and single-task oriented, while strong AI carries on tasks that are more complex and human-like.  Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.

Quantum Information Science

Developing the Quantum Information Science (QIS) (Quantum physics governs the way the universe behaves at the scale of atoms, electrons, and photons. Quantum physicists put the rules of this quantum world to the test and devise ways to stretch their boundaries. ... They cool down atoms to a fraction of a degree above absolute zero to create exotic states of matter), which focuses on the creation, control, and manipulation of non-classical states of light and matter with potential for exceeding classical limits in communications, sensing, metrology, imaging, computing and simulation. The development of QIS was precipitated by the demonstration of a "quantum advantage" in computing due to development of Shor's factoring algorithm (Shor's algorithm is a quantum algorithm for factoring a number N in O((log N)3) time and O(log N) space, named after Peter Shor. The algorithm is significant because it implies that public key cryptography might be easily broken, given a sufficiently large quantum computer) and Grover's search algorithm (Essentially, Grover's algorithm applies when you have a function which returns True for one of its possible inputs, and False for all the others. The job of the algorithm is to find the one that returns True.) in the mid-1990s, which offered quantum speedups (in the former case, what seems to be an exponential speedup. The potential impacts of QIS on the national security engineering companies and defense manufacturing companies' capabilities may include ensuring information security, enabling novel materials design, attaining precise navigation, and positioning even without GPS, improved sensing, and accomplishing significant improvements in high resolution imaging. Developments of new algorithms that provide a "quantum advantage" are needed for quantum computing to be more than a niche application. Beyond computing, and even beyond QIS per se, of great interest is the development of small- or medium-sized quantum systems to enable the study of exotic physics that could lead to novel future technologies. This program seeks ambitious proposals that are expected to either advance the knowledge of QIS, or to disrupt the current research directions of QIS. Exploration of the limitations of QIS. Quantum computing is an area of computing focused on developing computer technology based on the principles of quantum theory, which explains the behavior of energy and material on the atomic and subatomic levels. Classical computers that we use today can only encode information in bits that take the value of 1 or 0.

Cognitive Neuroscience

Cognitive neuroscience is the study of how the brain enables the mind. Brain science explores how individual neurons operate and communicate to form complex neuronal architectures that comprise the human brain. Cognitive neuroscience is a discipline to study cognition from the level of cranial nerve and is an important field of learning science. It mainly focuses on the neural mechanisms of perception, selective attention, memory, language, emotion, and consciousness. Cognitive neuroscience is the scientific field that is concerned with the study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology, and affective neuroscience. Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational modeling. Parts of the brain play an important role in this field. Neurons play the most vital role, since the main point is to establish an understanding of cognition from a neural perspective, along with the different lobes of the cerebral cortex. Methods employed in cognitive neuroscience include experimental procedures from psychophysics and cognitive psychology, functional neuroimaging, electrophysiology, cognitive genomics, and behavioral genetics.

Novel Engineered Materials

Novel oxide materials such as manganites, ruthenates, nickelates, Invar and others with strongly correlated electrons and strong electron-phonon interactions are under theoretical and experimental investigation. Our interdisciplinary program focused on  explore the opportunities created by atomic-scale transitions in bonding, chemistry, and coordination at oxide interfaces. New types of chemical, electronic, and magnetic properties emerge at such interfaces, allowing one to envisage applications in a range of fields, such as microelectronics, spintronics, optics, surface chemistry and catalysis. A key feature of our program involves understanding structure at the atomic scale using advanced spectroscopic techniques, in combination with insights provided by the results of first principles calculations. Present research directions include integration of crystalline complex oxides with semiconductors and the determination of their detailed atomic interface structure; investigation of ferroelectric surfaces and interfaces for novel chemical sensor applications; determination of interfacial electronic structure of heterogeneous magnetic oxides for the development of highly spin polarized materials; and atomic-scale imaging with non-contact atomic force microscopy (NC-AFM) for three-dimensional force field imaging. An advanced material can be defined as any new or significantly improved material that provides a distinct advantage in (physical or functional) performance when compared to conventional materials.

Mathematics and Statistics

Applied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, business, computer science, and industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the professional specialty in which mathematicians work on practical problems by formulating and studying mathematical models. practical applications have motivated the development of mathematical theories, which then became the subject of study in pure mathematics where abstract concepts are studied for their own sake. The activity of applied mathematics is thus intimately connected with research in pure mathematics. Applied statistics, that teach you how to apply statistical tools for the purpose of data analysis. Applied statistics is the root of data analysis, and the practice of applied statistics involves analyzing data to help define and determine business needs. ... Companies have so many data, and properly analyzing it can lead to increased efficiency and profitability. Pure maths, on the other hand, is separate from the physical world. The easiest way to think of it is that pure maths is maths done for its own sake, while applied maths is maths with a practical use. Two types of statistical methods are descriptive statistics and inferential statistics. Descriptive statistics are used to synopsize data from a sample exercising the mean or standard deviation. Inferential statistics are used when data is viewed as a subclass of a specific population. Applied Statistics can help professionals to integrate statistical tools into tech applications like machine learning, and they can gain advanced skills in statistical analysis and problem-solving. Statistics can also play a key role for engineers.

Manufacturing Science

The Manufacturing Science focuses on the development and implementation of next-generation advanced manufacturing technologies through research and scale-up of new processes and technical capabilities enabling new materials, systems, and products. Such us:

       High-capacity, long-lived, safe, recyclable, and grid-compatible batteries.

       Membranes and sorbents that are selective and resistant to fouling and degradation in energy-intensive applications.

       Materials that are resilient to mechanical, thermal, and chemical stress.

       Materials for the circular economy, designed with recycling, upcycling, and end-of-life in mind.

       A secure supply chain of critical materials from diverse sources, substitutes and recycling.

 

Manufacturing Science focus on the areas of manufacturing systems, manufacturing processes, advanced machining processes, micro/nano fabrication and finishing, nanotechnology, bioengineering, nano-composites, MEMS, laser/plasma surface coating technologies, large deformation systems, CAM of advanced engineering materials, polymer processing and rheology, lab on chip, vibration control of machine tools, adaptive control system, unconventional machining, solid-liquid phase change (melting/solidification).

Our Manufacturing, Science & Technologies (MSAT) professionals are instrumental in driving improvement into delivery processes. They work in collaboration with our process development scientists, manufacturing production teams and our clients to achieve continuous improvements in the way we bring therapies to market. Our teams are in a position to manage and handle projects from multiple customers in various sectors – viral vector, cell therapy, autologous, allogeneic – by transforming production processes into manufacturing capabilities. Evaluate and guiding any specific high potential of any governmental Proposed research in areas of relevance  fluid mechanics, propulsion, etc. as long as there is a transformative science problem to be investigated and whose solution may open new ways of thinking about the phenomena that are being.

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