Research topics in computer science cover a wide array of computer related research areas. Every research scholars can choose their topic based on their field of study candidates of M.Phil degree and PhD scholars can become the research scholars of computer science. Various topics allow the research scholars to present their thesis in a very enhanced and innovative manner. After selection of topic the thesis should be framed with the sequence of framing the problem statement, introducing a new concept, collecting data, implementing code. Gaining result and finally the topic is concluded by giving future scope. Various domains and sub domains are chosen by research scholars including intelligence and interface related concepts. Show
Research Topics in Computer Science CSE Research Projects topics:Topics of research are divided as common domain and android based domains such android based topics are pervasive computing, machine intelligence, augmented reality and learning technologies. Common domains:
Image processing:Many innovative applications can be introduced in image processing domain concepts such as in painting, enhancement, segmentation, manipulation; transformation and classification are part of image processing. Remote sensing, medical imaging and security are the sub domains in which research can be based on: By receiving SAR, SONAR and ASTER image geospatial and geological data can be obtained by remote sensing. Images of human organs taken for identifying diseases are medical imaging with the help of many algorithms security technologies are possible. Networking:Two or more computers or other devices are connected with each other using networking. Network connectivity is needed to establish this multiple connection. Many algorithms, protocols are used by simulation tools to create networking. Mobile computing:Mobile networks allow the process of mobile computing. The nodes that are involved in mobile computing are mobile in nature. Routing protocols are needed for transmission Bluetooth, WLAN and UMTS are some of the mobile networks. Research Topics In Computer Science Pattern recognition:It is a process involved in both data mining and image processing. It helps in giving security using image processing. Query processing is done to identify and recognize patterns. Cloud computing:Java language and Cloudsim or cloud analyst simulation tools are required for cloud computing. It also needs certain scheduling algorithms to process CPU utilization. Grid computing:The only difference between cloud computing and grid computing is the process in which resource allocation is done. It is done by workflow manner. The simulation tool called gridsim and scheduling algorithms are needed to perform the workflow manner efficiently. Data mining:Various concepts of different domains should be mingled with data mining in a thesis dot net and java platforms are needed for to establish data mining concepts. Only few data mining tools help in the effective completion of research work. Such tools are RTool, Weka tool and word net tool. Algorithms like machine learning and association rule mining algorithm are help in performing the process. Additional domains:Augmented reality domains and pervasive computing are able to build android application. Applications of entertainment and various innovative apps like that of human interaction. Organ functions can be detected using apps combining medical imaging. Human interaction application is focused on malls and play stores.Research Topics In Computer Science Images and data mining are combined to form machine intelligence projects. Learning technology domain help is academic projects like that of giving online examination. Future scope:Users such as government, organization or single user id included in cloud computing. It in a low cost manner transforms the information. We offer projects on advanced cloud related concepts.Research Topics In Computer Science
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Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development. There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students. 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 WarehousingData 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)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 RESERACH TOPICS IN IOT :-
Many people are not aware of this concept so you can choose for your project work and learn something new. Big DataBig 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:
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESERACH TOPICS IN BIG DATA :-
Thus you can prepare your project report or thesis report on this. Cloud ComputingCloud 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:
Below is the list of few latest and trending reserach topics in Cloud Computing :-
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 WebSemantic 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. MANETMANET 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 RESERACH TOPICS IN MANET :-
Just go for it if you have interest in the field of networking and make a project on it. Machine LearningIt 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 MiningData 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 RESERACH TOPICS IN DATA MINING :-
Advantages of Data Mining
Disadvantages of Data Mining
Artificial IntelligenceArtificial 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. Goals of Artificial Intelligence Following are the main goals of Artificial Intelligence:
Application 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 ProcessingImage 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. Main purpose of Image Processing Following are the main purposes of image processing:
Applications of Image Processing Following are the main applications of Image Processing:
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESERACH TOPICS IN IMAGE PROCESSING :-
BioinformaticsBioinformatics 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 ComputingQuantum 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. |