Area/ Research domain for MTech in Computer Science

As science and technology in Computers are developing every second, every student pursuing M.tech in Computer Science wants to know the next giant leap in Computer Science and IT. In this article, GetProjects listed some Research Domain for MTech in Computer Science you should consider for your thesis.

For M.Tech in computer science, you can choose from the following areas (Research Domain) for the thesis topic:

Area/ Research domain for MTech in Computer Science

Green Cloud Computing
Data Mining in Healthcare
IoT
Big Data Analytics
Digital Image Processing
Clustering
Wireless Communication
Ad hoc Network
Deep Learning
Quantum Computing

Green Cloud Computing – Research domain for MTech in Computer Science

Green cloud computing is a term that means making the practices and approaches of using technological advances like computing and other IT resources sustainable for potential environmental benefits. The growing number of companies worldwide makes a significant impact on the environment.

These days, the world runs on data. Technology continues to evolve, allowing businesses to acquire more figures and statistics. It has opened a new way of how companies and organizations store this acquired information through cloud computing. Experts regard cloud computing as one of the technological advances that are most beneficial to many industries that want to achieve efficient usage of energy as it relies on the internet and off-premise data centers.

Cloud computing aims to aid businesses and organizations worldwide to experience the advantages of scale, cost-efficiency, security, and innovation it can provide. Many business owners and enterprises are encouraged to lean on cloud computing with its listed benefits. Experts expect that cloud data centers will process about 91% of companies’ workloads worldwide by 2021. It is also predicted that the cloud computing industry will reach its peak of $623.3 billion by 2023.

With these growing numbers, cloud computing is the future of storing data with ease, security, and convenience. As the year’s pass, many have noted how cloud computing poses different environmental benefits. This innovation has led to a movement called green cloud computing in the information technology (IT) landscape.

Data Mining in Healthcare – Research domain for MTech in Computer Science

Whether used in healthcare or business, data mining aims to identify valuable and understandable patterns by analyzing large data sets. These data patterns help predict industry or information trends and determine what to do about them.

In the healthcare industry specifically, data mining can decrease costs by increasing efficiencies, improving patient quality of life, and, most importantly, saving the lives of more patients.

The shift from written to electronic health records has played an enormous part in the push to use patient data to improve areas of the healthcare industry. The adoption of electronic health records has allowed healthcare professionals to distribute the knowledge across all healthcare sectors, which in turn helps reduce medical errors and improve patient care and satisfaction.

Data mining is also projected to help cut costs. If the U.S. healthcare industry continues to use big data to drive efficiency and quality, the value could be significant. According to research from McKinsey and Company, system-wide data analytics efforts could cut overall healthcare costs by 12-17%.

According to spending data reported by the Centers for Medicare and Medicaid Services, the United States’ national healthcare expenditure reached $3.5 trillion in 2017. Applying a 12-17% savings to that number, the estimated cost reduction from system-wide data analytics efforts could reach between $420 billion and $595 billion.

The future of healthcare may well depend on using data mining to decrease healthcare costs, identify treatment plans and best practices, measure effectiveness, detect fraudulent insurance and medical claims, and ultimately, improve the standard of patient care.

IoT (Internet of Things) – Research domain for MTech in Computer Science

The IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

The internet of things helps people live and work smarter and gain complete control over their lives. In addition to offering smart devices to automate homes, IoT is essential to business. IoT provides businesses with a real-time look into how their systems work, delivering insights into everything from the performance of machines to supply chain and logistics operations.

IoT enables companies to automate processes and reduce labor costs. It also cuts down on waste and improves service delivery, making it less expensive to manufacture and deliver goods and offering transparency into customer transactions.

IoT is one of the most important technologies of everyday life, and it will continue to pick up steam as more businesses realize the potential of connected devices to keep them competitive.

Big Data Analytics – Research domain for MTech in Computer Science

Big data analytics is the often complex process of examining big data to uncover information — such as hidden patterns, correlations, market trends, and customer preferences — that can help organizations make informed business decisions.

Organizations can use big data analytics systems and software to make data-driven decisions to improve business-related outcomes. The benefits may include more effective marketing, new revenue opportunities, customer personalization, and improved operational efficiency. With an effective strategy, these benefits can provide competitive advantages over rivals.

Digital Image Processing – Research domain for MTech in Computer Science

Digital image processing techniques/methods are used to perform specific actions over the input images, and according to that, the desired information is extracted. For that, input is an image, and the result is an improved/expected image associated with their task. It is essential to find that the algorithms for image processing play a crucial role in current real-time applications.

Some of the significant fields in which digital image processing is widely used are mentioned below

Image sharpening and restoration
Medical field
Remote sensing
Transmission and encoding
Machine/Robot vision
Color processing
Pattern recognition
Video processing
Microscopic Imaging
Others

Clustering – Research domain for MTech in Computer Science

Clustering is the task of dividing the population or data points into many groups. Data points in the same groups are more similar to other data points in the same group than those in other groups. In simple words, the aim is to segregate groups with similar traits and assign them into clusters.

Since the task of clustering is subjective, there are plenty of means that can be used to achieve this goal. Every methodology follows different rules for defining the ‘similarity’ among data points. There are more than 100 clustering algorithms known.

Wireless Communication – Research domain for MTech in Computer Science

Wireless Communication is the fastest growing and most vibrant technological area in the communication field. Wireless Communication is a method of transmitting information from one point to another without connecting wires, cables, or any physical medium.

When can wired communication do most of the tasks that wireless communication can? Why do we need Wireless Communication? The primary and important benefit of wireless communication is mobility.

Apart from mobility, wireless communication also offers flexibility and ease of use, making it an increasingly popular day–by–day. Wireless Communication, like mobile telephony, can be made anywhere and anytime with a considerably high throughput performance.

Another essential point is infrastructure. The setup and installation of infrastructure for wired communication systems are expensive and time-consuming. The infrastructure for wireless communication can be installed quickly and low cost.

Wireless communication is a viable option in emergencies and remote locations, where the setup of wired communication is complex.

Ad hoc Network – Research domain for MTech in Computer Science

An ad hoc network is a network that is composed of individual devices communicating with each other directly. The term implies spontaneous or impromptu construction because these networks often bypass the gatekeeping hardware or central access point such as a router. Many ad hoc networks are local area networks where computers or other devices can send data directly to one another rather than going through a centralized access point.

The idea of an ad hoc network is often unfamiliar to end-users who have only seen small residential or business networks that use a typical router to send wireless signals to individual computers. However, the ad hoc network is being used in new wireless engineering types, although it was a rather vague idea until recently.

Experts point out that for small local area networks, ad hoc networks can be cheaper to build because they do not require as much hardware. However, others point out that many devices can be challenging to manage without more extensive and concrete infrastructure. Tech leaders are looking at ways to enable more vibrant network functionality with these peer-to-peer networks.

Deep Learning – Research domain for MTech in Computer Science

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign or distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately, and for a good reason. It is achieving results that were not possible before.

Deep learning achieves recognition accuracy at higher levels than ever before. This helps consumer electronics meet user expectations, and it is crucial for safety-critical applications like driverless cars. Recent advances in deep learning have improved to the point where deep learning outperforms humans in tasks like classifying objects in images.

While deep learning was first theorized in the 1980s, there are two main reasons it has only recently become useful:

Deep learning requires large amounts of labeled data. For example, driverless car development requires millions of images and thousands of hours of video.
Deep learning requires substantial computing power. High-performance GPUs have a parallel architecture that is efficient for deep learning. When combined with clusters or cloud computing, development teams can reduce training time for a deep learning network from weeks to hours or less.

Quantum Computing – Research domain for MTech in Computer Science

Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers.

Quantum computers harness the unique behavior of quantum physics—such as superposition, entanglement, and quantum interference—and apply it to computing. This introduces new concepts to traditional programming methods.

Read also: Top 20 Artificial Intelligence project ideas for Beginners

Final Words

Choosing a topic for a research paper or Area/ Research domain for MTech in Computer Science can be pretty daunting. Every topic is an excellent choice for an informative and engaging research paper. However, you will find that some research topics make better choices than others.

These are some areas or Research domain for MTech in Computer Science.

If you have any difficulties or questions focusing on your topic, discuss the topic with your instructor.

Do we miss something? You can write in the comment section

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