Computer Science - Science topic

The increasing prominence of computer science in various industries, including engineering, is due to its role in automation, data analysis, and efficiency enhancement. However, core engineering subjects such as electrical, electronics, chemical, mechanical, and civil engineering remain crucial. Computer science complements and enhances these disciplines rather than replacing them. Interdisciplinary collaboration, automation and control, simulation and modeling, hardware design, and domain-specific challenges are some areas where core engineering subjects retain their importance. The integration of computer science and engineering leads to advancements and innovations that benefit society. Recognizing the value of both fields and fostering interdisciplinary collaboration is essential for future progress.

I have made a living as a consultant for years using these techniques from TRIZ. (I independently invented Service Oriented Architecture [SOA] and Model Driven Design [MDD] to make practical the results generated.) Unfortunately, the major sticking point is "functional normalization", in other words identifying when a functional entity is performing the same function and/or quantifying how much similarity exists so a decision can be made on the best implementation to be used redundantly.

The Artificial Intelligence created today is the last one created by man. Subsequent versions of Artificial Intelligence will be created by Artificial Intelligence itself. If now there is still someone to ask the question put up for discussion, then soon the questions themselves, and Artificial Intelligence will discuss them. But there is also a black humor in this: by that time, Artificial intelligence will mistakenly think that it is natural. Thus, he will make the same mistake as his human creators. Artificial intelligence will have science and religion. And this religion will talk about the Creator of Artificial Intelligence. Well, etc., all in the image and likeness, as we have

Dear Onengiyeofori Fenibo,

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.

To help you get started, we have compiled a list of best computer science project topics for students and employees. From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. And while thinking about computer science project topics, if you find it difficult to keep up with the latest trends, go for the best online course for Web Development. This is because the coursework is updated frequently, and there are always new things to learn.

In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:

List of few latest thesis topics in computer science is below:

Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:

So start working on it if you have knowledge of database and data modeling.

Internet of Things(IoT) is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IOT:-

Many people are not aware of this concept so you can choose for your project work and learn something new.

Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:

Application areas:

Thus you can prepare your project report or thesis report on this.

Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of cloud computing namely:

Characteristics of cloud computing are:

The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.

Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.

It can be a good topic for your thesis or project.

MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of MANETS:

You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2, NETSIM, NS3 etc.

In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.

MANET finds its applications in the following areas:

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN MANET :-

Just go for it if you have interest in the field of networking and make a project on it.

It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;

Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic.

Data Mining

Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends. Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN DATA MINING :-

Artificial Intelligence

Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligence, intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.

Following are the main goals of Artificial Intelligence:

Following are the main applications of Artificial Intelligence:

Strong AI – It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.

Weak AI – It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.

Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:

Natural Language Processing – It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.

Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.

Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.

Following are the main purposes of image processing:

Following are the main applications of Image Processing:

Bioinformatics

Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:

Quantum Computing

Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.

Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:

The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.

Hope that one gives you a close feel.

Wasswa Shafik

Further to my above answer, I would like elaborate to use DecisionMentor mobile app

Decision Problem: Appropriate EMBA Thesis Topic for me

1. Appropriate Decision Analysis framework (Integrated with Accounts & Finance, in addition to Technical, Market and HR) - Looking into variety of Multiple Criteria Decision Analysis Tools / Theories available

2. A Case of Digital Transformation: In an existing Business (you may take a case from your own company)

3. Future of Accounts and Finance Professionals with Emerging AI Tools

(or if you have any of your topic of your passion, consider those)

Criteria (Factors) to consider while choosing:

1. My interest

2. Useful in business

3. Knowledge enhancement

4. Skill Enhancement

5. Demand in Market/Business

Now, it would be easy for you to use DecisionMentor mobile app available at:

The DecisionMentor mobile app will help you to compare your criteria to generate criteria weight, then you can compare each options with the Criteria.

This process will give insight to your decision problem, Decision will be Yours, which ever topic option comes at top in ranking.

Best wishes,

Big thanks to both of you Anne-Katharina Weilenmann and Alexander Schniedermann . Will look into these options shortly ^^

Dear Scholar,

I appreciate your interest. I have already volunteered for three research projects and authored three, excluding the analytical research that I am working on now. Among the mentioned, I conducted Literature Review through an LRM a few times. I am a Freshman in Computer Science. I was wondering about joining the initiation.

Dear, it's not possible to do master in computer science after mechanical graduate.

But heay try to robotics, automobile and other computer related course which is the available in Mechanical Engineering domain.

Dear Nameer Hashim Qasim ,

Artificial intelligence design is the new hype. To fully automate their processes, many IT companies are moving toward artificial intelligence today. They do this because they are aware that technologies that can significantly reduce the amount of work required of humans will rule the future.

Regards,

Shafagat

Imagine a primitive man who sees a robot and who wants to figure out what the robot is thinking. This is psychoanalysis, and "what the robot is thinking" is supported by artificial intelligence

1. Automated Testing for Full Stack Applications

2. Automated Deployment for Full Stack Applications

3. Security and Authentication for Full Stack Applications

4. Cross-Platform Development for Full Stack Applications

5. Performance Optimization for Full Stack Applications

6. Intelligent User Interfaces for Full Stack Applications

7. Automated Scaling for Full Stack Applications

8. DevOps Strategies for Full Stack Applications

9. Machine Learning for Full Stack Applications

10. Big Data for Full Stack Applications

You have to apply for Computer Modeling and other Computer Science directions.

Please read my book

The American University Laboratories For Electrical Engineering Part 1

You can find a computer section.

Use something you find interesting.

Thank you

Ziad

Great to hear that you are pursuing a PhD in Computer Science and looking for a research topic . Research topics that can make an impact and solve a business problem include predictive analytics for e-commerce, anomaly detection in sensor data, fraud detection in e-commerce transactions, personalized products, optimizing supply chain, and optimizing logistics. These are just a few examples to consider, and you can explore and refine these topics based on your specific interests and goals. Make sure to consult with your advisor and industry experts to ensure that your research is impactful and relevant to the business problem you are trying to solve. Good luck!

Hi Nishargo Nigar Remember that if you take your breadwinning work out of computers you can expect a massive drop in income. Fortunately, re your interests the space industry is on an upswing, and you have enough already for anyone re computers.

To your specific question, I doubt that would it increase your chance for a Ph.D. if you have a publication relevant to the new field, at least in US and Europe. Having working experience in space industry might help a little and they use a lot of computer people. Mainly I would think just pursue the PhD and don't over-worry about side efforts to encourage it.

Enjoyed my visit to Hamburg.

Karl

For me some basic knowledge of formal systems is essential for undergraduate CS students, as this is a necessary part of the scientific education.

If not, you might still learn a lot about software construction, but you wouldn't know nor understand its bedrock.

Data Visualization is incomplete without consideration of Tufte.

The tandem of Mathematics and Computer Science is vital for the development of AI. Mathematics provides the theoretical foundation, while Computer Science provides the practical tools to implement AI algorithms. By combining these two disciplines, researchers and practitioners can create AI systems that can perform increasingly complex tasks, and help solve some of the most challenging problems facing our society.

Yes, here are some potential research topics on smart cities that you could explore:

Eduard Babulak Yes, the usage of quantum computing is predicted to help enhance artificial intelligence, humanoid robots, automation, and geographic research. Quantum computing ideas can be used to these domains to possibly increase the performance and efficiency of different systems. However, it is vital to highlight that quantum computing is still in its infancy, and more study is required to fully realize its promise in these disciplines.

You can find some details about OpenAI, including chat gpt, on the OpenAI website: https://platform.openai.com/docs/introduction/key-concepts.

Additionally, research papers about GPT and its variants can be found in academic databases.

Seems like the survey form already expired. And....A rather sad example of user interfaces in itself. However, if you're trying to learn more about user interfaces I strongly recommend looking outside of the Computer Science field.

I recommend checking our Perspective paper at :

Thank you but its outdated.

Chaos theory and artificial intelligence are directly connected...

Formal models of such a connection are given in the book (the concepts of "Creative Stirring / Mixing Layer" and Inductor Space, i.e. the emergence of generalized (mental) entanglement)

More details here

Practical applications of chaos theory and artificial intelligence

Good luck to you,

Yurii

One way is to use the publication recommender offered by different publishers. You can search using the title and abstract to get a list of suitable journals. However, as you have already a written article and that too a review paper, you can figure out directly with your references. Digtial twins have applications in many areas, and therfore it depends which area you are working on. One excellent journal is IEEE Transactions on Industrial Informatics.

They are alternative contacts to certain pins for testing. The idea is to avoid signal interference with high speed processors.

Dear,

Today , we have a lot of topics: The capital topics for research in IT can be listed below: Quantum Computing, artificial Intelligence. These topics will be good for the future. If you are planning to become a staple in IT, you should take a look also in Cybersecurity,computational science,complex systems,cloud computing & virtualization,Biometrics and Conformance testing.

origin

Dear Aymane Ezzaim ,

The papers are edited pretty professional and look misleadingly real. However, the publisher is suspect, see for example:

https://www.researchgate.net/post/Global_Journal_of_Management_and_Business_Research_GJMBR_Is_it_a_predatory_Journaland https://www.editage.com/insights/is-this-journal-a-predatory

The same is true, when looking at the particular journal itself (https://computerresearch.org/index.php/computer ):

-If you scroll down, they mention matrices while they mean metrics

-If you scroll down further you see a sad collection of so-called misleading metrics (see also https://beallslist.net/misleading-metrics/ ) like ESJI, GIF, CiteFactor etc. often used by predatory journals/publishers

-No serious indexing (like Scopus, WoS etc.)

-Contact info looks fake. Most likely a virtual office (at best), all this to hide their true origin

So, I would say avoid.

Best regards.

PS. I suspect a relation with another dubious publisher “Dama Academic Scholary & Scientific Research Society” (https://damaacademia.com ). The well… mysterious sounding phrase in the mission “We intend to frequently modernize our dexterity and cultivate our standards to deliver exceptional quality journals in all fields of expertise.” can be found in both of them https://computerresearch.org/index.php/computer/about and https://damaacademia.com/mission/ The same is true for the sentence which can be found (using Google) here https://computerresearch.org/index.php/computer/about “is a premier research paper publisher with a global reputation for publishing quality journals and services which cover all streams”

MS Windows OS

Dear Adnan Nazir ,

Software Engineering is a branch that deals with the development and evolution of software products by employing certain methodologies and well-defined scientific principles. For developing a software product certain processes need to be followed and outcome of which is an efficient and authentic software product. The software is a group of executable program code with associated libraries. Software designed to satisfy a specific need is known as Software Product. It is a very good topic for master’s thesis, project, and research. There are various topics in Software Engineering which will be helpful for M.Tech and other masters students write their software project thesis.

Regards,

Shafagat

please check the Domain(area) Cloud computing & Data Mining easiest way of domain..

If you have access to Journal Citation Reports (JCR), it has feature named "manuscript matcher" which may be useful, but you can also look through the Dentistry, Oral Surgery & Medicine category in JCR.

It is not mandatory to complete Ph.D. degree to act as reviewer. However, it is mandatory that the person should have published at least one article in a reputed international journal. The Scopus ID of the reviewer should be available. Journal editors usually pick up reviewer names from the publications in the same field of research. Editors will not consider a person without any publication to his credit.

In certain condition i guess. if it' related to gene diseases (especially for y- chromosome). Because people follow their father's surname. But it's also conditional.

But i can say surname itself doe not affect your immunity. cuz if woman marries some guy and changing their surname it wouldn't affect their immune system.

Hi

Check these papers as they might give you research direction

A group of mid-career environmental social scientists, facing pandemic and career burnout, whimsically agreed to collectively decline 100 work-related requests. The goal: to learn to say no. After a year tracking and reflecting on their decisions, they share their insights into how to align finite energy with seemingly infinite possibilities...

Early in our careers, saying yes helped us to make connections and explore promising research directions. But as opportunities multiplied in our mid-careers, we needed a mindset shift, from gathering to pruning. So we need to develop clear criteria to help us choose what to pursue...

Dear Prof. Meriyem!

I did search for YOU resources you might well consider as value-added for your work:

1) Mouza, C., Mead, H., Alkhateeb, B. et al. A Virtual Professional Development Program for Computer Science Education During COVID-19. TechTrends 66, 436–449 (2022). https://doi.org/10.1007/s11528-022-00731-y, Free access:

2) Chrystalla Mouza, Diane Codding, Lori Pollock, Investigating the impact of research-based professional development on teacher learning and classroom practice: Findings from computer science education, Computers & Education,

Volume 186, 2022, Available at:

3) Garcia, I., Pacheco, C., León, A., and Calvo-Manzano, J. A., Cadxela: An educational tool for supporting the global software engineering education at undergraduate level, Comput. Appl. Eng. Educ. 2022; 30: 708– 729. https://doi.org/10.1002/cae.22482, Available at:

4) Yildiz Durak, H., Flipped classroom model applications in computing courses: Peer assisted groups, collaborative group and individual learning, Comput. Appl. Eng. Educ. 2022; 30: 803– 820. https://doi.org/10.1002/cae.22487, Available at:

Yours sincerely, Bulcsu Szekely

oK Basically you can work on the any data sets .Look for the data sets related to healthcare (Disease, patients data) or any other type of data associated with the health care.

you can go for the humanities subject like economics, geograply, marketing etc. search for their data available in the public domains .

you can explore the areas of science like biotechnology, physics and computer science. (Devlop new aspect of algorithms prespective)

Explore the areas realted to the pharmacuits sciences like drug design synthesis or every drugs. data is available on the public domain .

you can work on to explore the general trends in data like populaiton explosion , or education status of women etc.

but first of all its importnat to get one hypothesis and a crisp objective for your desertation. once you done things . NEXT comes the implementaition part. that you can do .

Concern with your respective supervisor ask him/her or give him/her some option to explore, or your areas of interest.

Thanks.

The issue of cloud database security

It is more than amazing . Go on . Please send me your survey to comment on more .

Dear Vivek,

Your observation is apt. Due to the popularity of CSE branch from utility and employability perspective, it is drawing better students vis-a-vis other branches. This trend is well known to recruiters, as well. This has resulted in positive feedback like scenario. However, this trend may weaken with the passage of time as CSE splits into more and more finer specialization.

I suggest the following online translators and App:

Dear Sahil Dalal ,

Yes and no. Yes, in the sense that “Procedia Computer Science” calls themselves a journal https://www.journals.elsevier.com/procedia-computer-science But the answer is no. It is a so-called “Conference proceedings” see also: https://www.scopus.com/sourceid/19700182801

You can check this in the latest source list (see enclosed file) where this title is not listed in the “Scopus sources May 2022” list (of indexed journals) but in the list of “Serial Conf. Proc. with Profile”.

So, the answer is no.

Best regards.

Please Suggest any Scopus indexed Journals for Fast track publication ( in 2 Months) for Early Childhood Education.

Hi G K Mohan Devarakonda you can try Cousersa, I was able to do it through scholarships, they give financial aid for those who can't afford it. Go to the Coursera website, select the course you are interested in and see if there is a financial aid option, if so you can apply. The result comes out in 20 days. I hope you get it! Good luck.

Thank you Kevin Agina Onyango for the interesting question and all professors for the valuable answers.

In this case, I suggest comparing the available quantitative results like %age accuracy, efficiency or other performance indicators with your solution's performance. This can be in the form of a table. The quantitative details are available in that particular technique's foundational research paper.

Computational and Structural Biotechnology

Computers and Electronics in Agriculture

Mathematics is like the backbone to Reinforcement Learning. Strong command on topics like Probability and Statistics with a proper understanding of some mathematical models can take you very far ahead in Reinforcement Learning. Some scheduling techniques in wireless packet delivery require deep knowledge of Markov chain, Deep Reinforcement Learning.

May be helpful for your work:

There is no journal with a good impact factor with less review. all good journals take no less than three months for peer review; sometimes, open access can process in one month.

I advise you to check the list in the link and try to find a journal with less than 0.5 SJR. Maybe they can process within two months minimum.

All the best

You can check out some topics below

Also, I believe you can take some python lessons online that can be of great help to you as well

you can think of in covid 19, Lung cancer, Brain tumor detection using different deep Learning Techniques and possible to use also ML Algorithms.

Hi,

Kindly refer this link:

Best wishes..

sent via google form

Something cc commons license (I guess a dream), easy to use for any teacher at any level, and in any operating system, based on threads like this and paint screenshots :)) Prof. Rupali Mishra

It will help with elearning for students & mentors from very disadvantaged countries.

And finally with the Open UK learning & teaching philosophy.

Best Regards.

yes

Most of the paid journals are considered predatory journals. They ask for publication charges after the paper has been accepted.

Below are some reputed ESCI computer science journals:

JOURNAL OF BIG DATA

MULTIMODAL TECHNOLOGIES AND INTERACTION

Get the complete list: https://phdtalks.org/2022/04/esci-computer-science-journals.html

Editor-in-Chief, i.e. professor Nasser-Eddine Rikli is present here at R^G portal:

Can you say more about what you mean by qualitative analysis?

A list of open problrems for hpmotopy type theory is presented in HISTORIC.

International Journal of Advanced Computer Science and Applications (IJACSA)

Dear Paul Ockleford,

I propose the following topic for the master's thesis on cybersecurity issues: Applications of blockchain and machine learning technologies and other Industry 4.0 technologies as part of improving the cybersecurity risk management of IT systems operating in computing cloud computing environments, in systems based on the Internet of Things, Big Data, and smart technology solutions etc. The research topic may also concern the improvement of techniques and risk management of cybersecurity of information systems used in internet banking and mobile banking.

Best regards,

Dariusz

It is not necessary to have a computer science background for learning ML. But you should know basic statistical methods and programming language. ML will definitely help you with energy forecasting.

You should check out seminal and fundamental work by Gregory Chaitin starting in 1965 when he was a student in CUNY (City Univ. of New York) and continuing through the 1970's.