Phd Topics In Computer Science is a study of transfer of information. PHD scholars of computer science need to base their research topics on their objective area. A certain domain can be selected by them with guidance from their guide or based on their own interest whichever project done by them on PG final year can be more elaborately done in PHD thesis. Most chosen topics for computer science PHD research are grid computing, data mining, remote sensing, mobile computing, wireless communication, image processing, and medical imaging and sensor networks. In order to complete a research work development tools and languages are needed.

PHD TOPICS IN COMPUTER SCIENCE AREAS:

Some of the prominent domains of computer science are as follows:

• Information storage and retrieval.
• Architecture.
• Automata theory.
• Programming languages.
• Operating systems.
• Computational science.
• Software engineering.
• Intelligent systems.

By choosing these topic researchers can complete their thesis in an effective manner. Many programming languages are involved to create codes and obtain pin point results. Operating system is needed to be selected differently for different areas. Computer programs should process both storage and retrieval. Every information is in data base and obtained in the time of need. Robotic concepts can be obtained by automata theory. Learning and testing can be done by software engineering. Errors in numeric analysis are only solved by computational science.

Hadoop and big data are latest trends in computer science which is preferred by some scholars for their research. It is used to process quite large applications and it minimizes the storage capacity.

CLOUD COMPUTING:

Java creates and develops cloud computing concepts and it also uses Cloudsim. Cloud computing also performs resource allocation, load balancing, secret key generation and scheduling. Activities of cloud computing applications are energy utilization measurement, secure sharing of patient health records, online banking, and secure file transformation.

DATA MINING:

It is otherwise known as data warehouse. It helps storing large information which can be obtained anytime and anywhere. Word net tool should be installed for research in order to get English meaning from lexical database. Weka tools is also required to support machine learning process while choosing their projects scholars should also choose objectives such as recommendation, classification and mining process. Both java and dot net is requires to write program languages.

GRID COMPUTING:

Gridsim tools build grid computing. It assumes the resources level of a system which becomes the input for processing schedule algorithms FCF8, min-max; genetic algorithm, weighted round robin, max-min and round robin are the needed scheduling algorithms.

IMAGE PROCESSING:

Medical imaging and remote sensing are the sub domains of image processing. For medical imaging projects the researcher need to choose a specific human organ to base the project on. To make it as an innovative research algorithm should be upgraded. Remote sensed images of geospace and satellite images are taken as input. MATLAB simulation tool helps in implementation of codes.

NETWORKING:

Usually PHD scholars choose their research topic based on network. It is an enormous field which covers wireless sensor network, mobile computing and wireless communication. Networking errors are usually solved by many simulation tools, which lead in the creation of new concept. NS2, NS3, OMNET++, QualNet, Opnet and Peer-sim are the needed simulation tools of networking. The results are produced in a graph manner. This graph display parameters of throughput, delay, bandwidth and transmission.Phd Topics In Computer Science

FUTURE ENHANCEMENT:

Computer vision applications and template matching are the growing domains of computer science. We offer thesis which are more up to date of pattern recognition algorithms.Phd Topics In Computer Science

 Computer Science PhD topics list is our unique service that established us as a giant in the field of research. At this age we live in a pool of intelligence. Everyone around us is tech savvy and highly updated in recent trends. In order to stand apart in this technically advanced crowd you need our help. We have a highly intelligent team of experts, who are ready to keep you one step ahead of your peers.

Thesis is the first step that you take towards your path for career. It is the very foundation on which you are going to build your future. So it should be handed by someone who is absolutely sure of what they are doing. We lend our complete support to you to elevate your status in the society. We host an array of reviews from our previous scholars for your experience. Many of our candidates are proud recipients of best paper award. You can attain this reward by committing with us.

CSE PhD Topics List

    Computer Science PhD Topics List is an important research area which is highly relevant in today’s world. We ate connected to various international journals which will help you in publish your paper. Before writing your paper, the target journal and the subject content should be selected. Apart from the top journals, we ate also well connected to various other journals. This will aid you in publishing your paper by within the deadline. Our priority is making sure that the paper meets all which criteria set by the journals.

     Our expertise on Computer Science PhD Topics List is abundant. We are an established network that speeds across the globe with links over 120 + countries. Scholars from all around the world have benefited from our service. Our integrity and trustworthiness are some of our noble qualities, which draw students towards us. Computer science is vast field with multiple domains. It is the very strong foundation of the digital world. We have experts in every domain who are ever ready to cater your needs.

• Never Late Delivery
• Exclusive work
• Decisive consults supports
• Trusted resources with in-depth research
• Friendly experts with interactive environment

        Every novel trend is updated by us as we refer at least 1000 research papers for every research work. Our growth from the humble beginnings to monumental success, it’s due to never ending quest for novelty.

Our work makes you stand apart as it is original and unique. We love taking risks and achieving the impossible. Many times we have made the impossible quiet possible. We distinctively stand apart from the rest of our peers. This makes us a No l institute in the world.

• Mind Mapping the overall concept
• Final product
• Well-developed paper content including Abstract, title, introduction, body and conclusion
• Framing research proposal with novel ideas
• Complete research process on time

         Selection of subject content plays an important role in framing the thesis. For Computer Science PhD topics list,

They are as follows:

• Text Mining
• Data Mining
• Image processing
• Networking
• Cloud Computing
• Natural Language Processing
• Multimedia
• Pixel Per Inches
• Pattern Mining
• Visual Cryptography
• Network Security
• Mobile Computing
• Forensics and Security
• Secure Computing
• Adhoc Network
• Mobile Edge Computing
• Green Computing
• Wireless Sensor Networks
• Brain Computer Interface
• Language, audio and Speech Processing
• Telecommunication engineering
• Internet Computing

        Computer Science PhD Topics list is our service for a better world. All the topics are dealt by our professionals in an absolute manner. In depth analysis and precise sharp writing makes our service as an elite one. Our experimental yet perfect thesis makes us part of the A-list crowds. We have a reputation that will stand till the end of time. In order to shine brighten than the stars, unite with us and be a part of our renowned organization. Make your thesis writing process is a memorable one by combining your passion with our hard work.

Cloud Computing

Cloud computing is a major step toward organizing all aspects of computation as a public utility service. It embraces concepts such as software as a service and platform as a service, including services for workflow facilities, application design and development, deployment and hosting services, data integration, and management of software. The cloud platform increases in importance as our industry makes the phase change from in-house data management to cloud-hosted data management to improve efficiency and focus on core businesses. However, like any new technology, there are formidable problems, from performance issues to security and privacy, from metadata management to massively parallel execution.

This is a major part of the Kno.e.sis Research Center.

CURRENT RESEARCH PROJECTS

• Cloud infrastructure for data management
• Privacy and security in cloud data management
• Cloud-based mining and learning algorithms
• Cloud support for text mining and web search
• Large-scale natural language modeling and translation
• Parallel and distributed algorithms for bioinformatics
• Performance evaluation and benchmarking

RESEARCHERS

• Soon Chung
• Meilin Liu
• Michael Raymer
• Yong Pei
• T.K. Prasad
• Bin Wang

RESEARCH LABS

• Database Research Laboratory
• Bioinformatics Research Group
• SMART Lab
• Kno.e.sis

Cybersecurity

The Department of Computer Science and Engineering of Wright State University recently received a grant, titled “REU Site: Cybersecurity Research at Wright State University”, from the National Science Foundation. This NSF REU site offers a ten-week summer program that aims at providing a diverse group of motivated undergraduates with competitive research experiences in cyber-security research. A variety of projects will be offered in Network Security, Intrusion Detection, Wireless Sensor Network Security, Internet Malware Detection, Analysis, and Mitigation, Software Reverse Engineering and Vulnerability Discovery, and Privacy-Preserving Data Mining.

In addition there are two ongoing projects sponsored by DARPA and ONR for Deepfake techniques, Deep Understanding of Technical Documents, and Computer Security (like memory attacks).

RESEARCHERS

• Junjie Zhang
• Bin Wang
• Nikolaos Bourbakis
• Yong Pei

RESEARCH LABS

• Center of Assistive Research Technologies (CART)
• WSU Cybersecurity Lab
• SMART Lab

RELATED PROGRAMS

• Master of Science in Cybersecurity
• Cyber Security Certificate
  • Undergraduate
  • Graduate

Cyber-Physical Systems

Cyber-Physical Systems are jointly physical and computational and are characterized by complex loops of cause and effect between the computational and physical components. We focus on the creation of methods by which such systems can self-adapt to repair damage and exploit opportunities and methods by which we can explain and understand how they operate even after having diverged from their original forms. Our current application area the creation of control systems for insect-like flapping-wing air vehicles that repair themselves, in flight, after suffering wing damage.

Click here for more information about Cyber Physical Systems at Wright State University

RESEARCHERS

• Yong Pei

RESEARCH LABS

• SMART Lab

Databases and Data Mining

Data mining is the process of extracting useful knowledge from a database. Data mining facilitates the characterization, classification, clustering, and searching of different databases, including text data, image and video data, and bioinformatics data for various applications. Text, multimedia, and bioinformatics databases are very large and so parallel/distributed data mining is essential for scalable performance.

CURRENT RESEARCH PROJECTS

• Parallel/distributed data mining
• Text/image clustering and categorization
• Metadata for timelining events
• XML database
• Data warehousing
• Biological/medical data mining

RESEARCHERS

• Guozhu Dong
• Soon Chung
• T.K. Prasad

RESEARCH LABS

• Data Mining Research Lab
• Database Research Laboratory
• Kno.e.sis

Data Science and Analytics

Mathematical, statistical, and graphical methods for exploring large and complex data sets.  Methods include statistical pattern recognition, multivariate data analysis, classifiers, modeling and simulation, and scientific visualization.

CURRENT RESEARCH PROJECTS

• Topological Data Analysis
• Predictive Analytics

RESEARCHERS

• Michelle Cheatham
• Travis Doom
• Derek Doran
• Michael Raymer
• Thomas Wischgoll
• Junjie Zhang
• Yong Pei
• Tanvi Banerjee
• T.K. Prasad
• Guozhu Dong

RESEARCH LABS

• Bioinformatics Research Group
• Machine Learning and Complex Systems Lab
• Advanced Visual Data Analysis (AViDA)
• Data Science for Healthcare
• Kno.e.sis
• SMART Lab

Multimedia Systems and Apps

Multimedia systems offer synergistic and integrated solutions to a great variety of applications related to multi-modality data, such as automatic target recognition, surveillance, tracking human behavior, etc.

CURRENT RESEARCH PROJECTS

• Object recognition in digital images and video
• Multimedia content classification and indexing
• Integrated search and retrieval in multimedia repositories
• Background elimination in live video
• Modeling and visualization
• Biometrics and cyber security
• Network and security visualization

RESEARCHERS

• Nikolaos Bourbakis
• Mateen Rizki
• Yong Pei
• Bin Wang
• Thomas Wischgoll

RESEARCH LABS

• Center of Assistive Research Technologies (CART)
• SMART Lab
• Advanced Visual Data Analysis (AViDA)

Semantic, Social and Sensor Webs

The World Wide Web contains rapidly growing amount of enterprise, social, device/sensor/IoT/WoT data in unstructured, semistructured and structured forms. The Semantic Web initiative by the World Wide Web consortium (W3C) of which Wright State University is a member (represented by Kno.e.sis) has developed standards and technologies to associate meaning to data, to make data more machine and human understandable, and to apply reasoning techniques for intelligent processing leading to actionable information, insights, and discovery. Kno.e.sis has one of the largest academic groups in the US in Semantic Web, and its applications for better use and analysis of social and sensor data.

This is a major part of the Kno.e.sis Research Center.

CURRENT RESEARCH PROJECTS

• Computer assisted document interpretation tools
• Information extraction from semi-structured documents
• Metadata for timelining events
• Semantic Web knowledge representation
• Semantic sensor web
• Linked and Big Data

RESEARCHERS

• T.K. Prasad

RESEARCH LABS

• Kno.e.sis

Machine Learning and Artificial Intelligence

Machine learning and artificial intelligence aim to develop computer systems that exhibit intelligent behavior in decision making, object recognition, planning, learning, and other applications that require intelligent assessment of complex information.  Our faculty apply modern tools such as deep neural networks, evolutionary algorithms, statistical inference, topological analysis, and graphical inference models to a wide variety of problems from engineering, science, and medicine.

CURRENT RESEARCH PROJECTS

• Knowledge Representation and Reasoning
• Intelligent agents
• Natural language understanding
• Evolutionary algorithms and evolvable hardware
• Autonomous robotic systems
• Machine learning
• Fuzzy and neural systems
• Intelligent control systems
• Deep Neural Networks

RESEARCHERS

• Nikolaos Bourbakis
• Mateen Rizki
• Meilin Liu
• Yong Pei
• Tanvi Banerjee
• T.K. Prasad
• Michael Raymer
• Guozhu Dong

RESEARCH LABS

• Center of Assistive Research Technologies (CART)
• Bioinformatics Research Group
• Data Science for Healthcare
• Kno.e.sis
• SMART Lab

Wireless Networking and Security

Wireless communication and networking have revolutionized the way people communicate. Currently, there are more than two billion cellular telephone subscribers worldwide. Wireless local area networks have become a necessity in many parts of the globe. With new wireless enabled applications being proposed every day, such as wireless sensor networks, telemedicine, music telepresence, and intelligent web, the potential of this discipline is just being unleashed.

CURRENT RESEARCH PROJECTS

• Ultra-high speed optical network
• Wireless sensor network
• Music telepresence
• Cognitive radio and dynamic spectrum access
• Secure protocol and secure processors authentication
• Cyber-physical systems
• Network coding

RESEARCHERS

• Bin Wang
• Yong Pei