We have always thought of broader research and joining hands in research and analysis of electronics and computer science. As a computer science expert you may be a seasoned programmer and a thinker. I would like to introduce the different domains where electronics and computer science can merge and play a role
Applied Electromagnetics & RF Circuits: Applied electromagnetics (EM) plays an essential role in areas such as wireless technologies, the environment, life sciences, transportation, and more. Faculty and students perform research in all aspects of applied EM, including Microwave and Millimeter-Wave Circuits, MEMS Circuits, Antennas, Wave Propagation Studies for Wireless Applications, Scattering, Computational Electromagnetics, Active and Passive Microwave Remote Sensing, Plasma Electrodynamics, and EM Metamaterials.
Computer Vision: Research goals include: i) the semantic understanding of materials, objects, and actions within a scene; ii) modeling the spatial organization and layout of the scene and its behavior in time. The algorithms developed in this area of research enable the design of machines that can perform real-world visual tasks such as autonomous navigation, visual surveillance, or content-based image and video indexing.
Control Systems: The development of sophisticated computer aided design software has enabled analysis and controller design for complex multivariable systems. The needs of society for improved transportation safety and a cleaner environment have posed challenges that can only be solved with feedback control.
Embedded Systems: Designing embedded systems is a huge challenge because they have so many requirements: they often need to be tiny, high-performance, inexpensive, reliable, and last a long time on poor power sources, all while sensing and influencing their surroundings. Faculty and students are applying their skills to the entire “stack,” from transistors and circuits to operating systems and applications.
ECE Education Research: ECE Education Research is a rigorous, interdisciplinary field in which scholars focus on and apply research methods from education, learning sciences, and social-behavioral sciences to address a variety of issues pertaining to: teaching and learning; college access and persistence; workforce development; and other issues critical to the success of the field of engineering. Scholars in the subfield of ECE Education Research focus on issues pertinent to the discipline of electrical and computer engineering.
Integrated Circuits and VLSI: Research in Very-large-scale integration (VLSI) digital circuits includes microprocessor and mixed signal (microcontroller) circuits, with emphasis on low-power and high-performance; computer-aided design, including logic synthesis, physical design, and design verification; testing and design for testability; advanced logic families and packaging; integrated circuit micro-architectures; and system integration.
MEMS and Microsystems: Devices such as micromachined neural probes for implantable prostheses, ultra-miniature low-power pressure sensors for catheters, tactile sensors arrays for fingerprint analysis, infra-red imagers for manufacturing process control, and micro gas chromatography systems for environmental monitoring are some of the past contributions of this program.
Network, Communication & Information Systems (NCIS): Communication networks are collections of receiving and transmitting stations that may relay information from one station to another by means of other stations acting as relays. There are many components in the process of transmitting information in a communication system. One component is information representation in minimal form, that is data compression. A second aspect of communication is modulation; the process whereby information is mapped into waveforms suitable for propagation. A third aspect is error control coding; the method by which errors made in receiving information can be corrected. The performance of a communication system is usually measured in terms of the probability of incorrectly decoding the information or the distortion between the original information-bearing signal and the reconstruction, and the energy used.
Optics & Photonics: Specific areas presently under investigation include nonlinear optics, optical MEMS (coupling optical fields to mechanical motion), ultrafast optics, semiconductor quantum optoelectronics, Terahertz generation and applications, fiber and integrated photonics and lasers, high-power fiber lasers, x-ray and EUV generation, quantum optics and quantum computing, optical microcavities, nanophotonics, spectroscopy of single quantum dots, biophotonics, and biophysical studies of biomolecular structure.
Plasma Science & Engineering: PSE has incredibly broad and strategic impact on national and economic security, and providing societal benefit. Modern microelectronic devices could not be fabricated in the absence of plasma etching, deposition and cleaning processes. Thin film solar cell technologies depend upon plasma deposition to be economically viable. Fabrication of biotechnology devices depends on plasma processes to harden artificial joints and prepare biocompatible surfaces on tissue scaffolding. Interplanetary probes are powered by plasma thrusters.
Power and Energy: Faculty are investigating energy conversion systems where enhanced performance of electrical machines and power electronics is being exploited to develop a variety of novel applications, from automotive propulsion systems to wind generators. Power systems research is seeking new tools and techniques for improving grid efficiency and robustness.
Quantum Science & Technology: Quantum mechanics has played an important role in many areas of engineering for decades now, fueling an increasing number of fundamental breakthroughs, as available devices become smaller and individual particles can be precisely controlled in the lab. Newly observed phenomena are often best explained using quantum theory, facilitating new technologies and applications. In particular, accounting for quantized energy levels and the Fermi nature of electrons in semiconductors has lead to more accurate modeling and optimization of CMOS transistors, as well as new results on capacitively-coupled quantum dots.
Robotics & Autonomous Systems: We also use artificial intelligence techniques for dealing with planning and uncertainty, localization and mapping, sensor processing and classification, and continuous learning.
Signal & Image Processing and Machine Learning: Signal processing is a broad engineering discipline that is concerned with extracting, manipulating, and storing information embedded in complex signals and images. Methods of signal processing include: data compression; analog-to-digital conversion; signal and image reconstruction/restoration; adaptive filtering; distributed sensing and processing; and automated pattern analysis.
Solid-State Devices and Nanotechnology: Research in organic and molecular electronics includes organic field-effect transistors, integrated circuits and light-emitting devices on glass and plastic substrates, hydrogenated amorphous silicon thin-film transistors and active-matrix arrays on glass and plastic substrates for flat panel displays and sensors, and active-matrix organic light-emitting display technology.
What are the other areas where there can be similar synergy and let us discuss further
I think an other vision may be based on another topical classification which may be more natural as:
On the top is the electronic systems which may be classified in more branches such as:
The communications systems ; the Instrumentation systems, the control systems and the digital computers as wall as other subbranches as biomedical systems.
Every system contains many subsystems and many building blocks.
A communication systems such as a communication network may contain the other systems and subsystems.
The building blocks are built from electronic circuits analog and digital.
The circuits are built from digital, analog and mixed circuits
The circuits themselves are built from electronic devices.
The electronic devices are build fro material by fabrication processes and technology.
This classification may be more transparent and may be easier to correlate the research tasks with it.
The electronic systems are now configured such that it has a digital core and an analog and digital periphery.
So, co design of software/hard ware is always required with the weight tends to the software tasks.
The hard ware design is more or less made by the semicondcutor companies.
The soft ware is always left to customize the hardware. More software engineers
are required than hardware engineers. The electronic systems after digitization became software oriented.
Best wishes
Dear Pushan Dutta,
I propose as an interesting, developmental research topic - analysis of the possibilities of implementing Industry 4.0 technology, including blockchain technology, artificial intelligence, learning machines, Internet of Things, Big Data Analytics, etc. for electronic online and mobile banking. One of the rapidly growing fields of implementation of ICT and Industry 4.0 information technologies into economic processes is online electronic banking and e-commerce. The key determinants of the globally developing e-commerce relate primarily to the implementation of ICT information technologies and advanced data processing technologies, i.e. industry 4.0 typical for the current technological revolution to computerized, automated transaction systems supporting online trading. In addition, the use of blockchain technology for transaction security systems and data transfer on the Internet. The use of ICT information technologies and advanced data processing technologies i.e. typical for the current technological revolution Industry 4.0 to e-commerce online transaction systems already applies to almost all the functioning of online stores, from computerized sales support systems, logistics, accounting, reporting, risk management to Internet marketing activities and improving security systems for online transactions. Another important determinant of e-commerce development is the development of online mobile banking available on mobile devices and new solutions related to the Internet of Things technology. Online banking is starting to dominate, whose development is determined by technological progress in the field of ICT and Industry 4.0 information technologies. Computerization is also increasingly affecting public sector institutions servicing tax systems and settlements of business entities. In addition, Business Intelligence analytical platforms supporting the management processes of companies operating also in the e-commerce sector have been developed for several years. The analyst of large information sets in Big Data databases is also developing. Big Data Analytics and Data Science analytical systems are also used by businesses operating also in the field of e-commerce. In recent years, new internet marketing instruments have also been developed, mainly used on social media portals, and are also used by companies operating in the e-commerce sector. Internet technology and fintech companies are also emerging that offer information services on the Internet to support marketing management, including the planning of advertising campaigns for products sold via the Internet. To this end, sentiment analyzes are used to survey Internet users' opinions regarding dominant awareness, recognition, brand image, mission and the offer of specific companies. Sentiment analysis is carried out on large data sets downloaded from various websites, including millions of pages of social media portals collected in Big Data systems. The analytical data collected in this way are very helpful in the process of planning advertising campaigns carried out in new media, including social media portals. These campaigns advertise products and services sold via the Internet, available in online stores. In view of the above, the development of e-commerce is determined mainly by technological progress in the field of ICT information technologies and advanced data processing technologies Industry 4.0 and new technologies used in securing financial transactions carried out via the Internet, including e-commerce related transactions, e.g. technology blockchain. To sum up, ICT and Industry 4.0 are an important factor for economic development, primarily in emerging knowledge-based economies. In many countries there are investment programs financed also from public funds to activate the development of applications in the ICT and Industry 4.0 industries. In this way, individual developing countries whose economies are largely based on such production factors as technology, information, innovation, entrepreneurship and knowledge build their comparative advantage. Building comparative advantage in knowledge-based economies includes investments in new technologies, including Internet, ICT and Industry 4.0. Investments implemented in modern internet technologies, ICT and Industry 4.0 increase the efficiency of production processes, logistics, management, marketing, risk control etc. in enterprises operating in various branches of the economy. In my opinion, in the coming years there will be an increase in the use of Industry 4.0 technology, including blockchain technology, artificial intelligence, learning machines, Internet of Things, Big Data Analytics, etc. for electronic internet and mobile banking, primarily in the field of improving cybersecurity of data transfer through Internet, business analytics, creating technological innovations for access to mobile banking from various Internet of Things devices. I have described the above issues of various aspects of the application of information systems and ICT, including Big Data, Business Intelligence in companies operating on the Internet in my scientific publications available on the Research Gate portal. I invite you to cooperation.
Best regards,
Dariusz Prokopowicz
Fast, accurate and reliable, digital waveform(wave shap) approach to find the waveform change occurred, in change in conditions in any field(Medical, Engineering...etc)is very easy with use of microprocessor, where sky is limit to think in modern world . Could refer my papers
I think an other vision may be based on another topical classification which may be more natural as:
On the top is the electronic systems which may be classified in more branches such as:
The communications systems ; the Instrumentation systems, the control systems and the digital computers as wall as other subbranches as biomedical systems.
Every system contains many subsystems and many building blocks.
A communication systems such as a communication network may contain the other systems and subsystems.
The building blocks are built from electronic circuits analog and digital.
The circuits are built from digital, analog and mixed circuits
The circuits themselves are built from electronic devices.
The electronic devices are build fro material by fabrication processes and technology.
This classification may be more transparent and may be easier to correlate the research tasks with it.
The electronic systems are now configured such that it has a digital core and an analog and digital periphery.
So, co design of software/hard ware is always required with the weight tends to the software tasks.
The hard ware design is more or less made by the semicondcutor companies.
The soft ware is always left to customize the hardware. More software engineers
are required than hardware engineers. The electronic systems after digitization became software oriented.
Best wishes
bioinformatics ... This book provides a completely fresh exploration of bioinformatics, investigating its complex interrelationship with biology and computer science. It approaches bioinformatics from a unique perspective, highlighting interdisciplinary gaps... Attwood, T. K., Pettifer, S. R., & Thorne, D. (2016). Bioinformatics challenges at the interface of biology and computer science: Mind the gap. John Wiley & Sons.
Baxevanis, A. D., Bader, G. D., & Wishart, D. S. (Eds.). (2020). Bioinformatics. John Wiley & Sons.
semantic web.... In semantic web-based system, the concept of ontology is used to search results by contextual meaning of input query instead of keyword matching. ... Bansal, R., & Chawla, S. (2016). Design and development of semantic web-based system for computer science domain-specific information retrieval. Perspectives in Science, 8, 330-333.
In recent years, manufacturing supply chains are inclined to be worldwide business activity due to economic advantage of product development and service deployment in globalized world.... Pal, K. (2017). A Semantic Web Service Architecture for Supply Chain Management. Procedia Computer Science, 109, 999-1004.
The Semantic Web technology is an efficient mechanism to query or infer knowledge on a global scale using the internet by providing logical reasoning through rule based system... Naseem, J., & Mehmood, N. (2018). An Efficient Rule based Decision Support System using Semantic Web Technology. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 9(12), 346-350.
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Control Theory
- Control Systems