Information Technology Research Proposal

Developing research proposal successfully is the first step for your PhD. In the field of Information Technology, there are numerous areas that are evolving in current years. We go through your ideas and share novel insights to your work. The process of defining the research problems and regions are determined as challenging as well as intriguing don’t worry we are here to guide you. The following are the guidelines that assist you in describing the research issues and define regions of study for your IT research proposal:

Identifying Research Problems:

  1. Gap in Knowledge: In the previous studies, search for research regions where there is presence of contradictory outcomes or having not enough interpretation. This expertise gap might be overcome by the focus of your research problem.
  2. Practical Issue: The real-time problems that are confronted by businesses, firms, or society should be recognized that could be resolved by IT. For instance, safety risks in networks, availability limitations in user interface structure, or ineffectiveness in recent software advancement procedures are considered as major problems.
  3. Technological Advancement: Frequently, novel chances and limitations are demonstrated by evolving technologies. Typically, significance, applications, or limitations of a current technological development are investigated by a research problem.
  4. Theoretical Challenge: In the domain of IT, theoretical structures and systems emerge with technology. In research problems, forecasting technological events or finding regions where previous theories do not sufficiently describe are determined as valuable sources.

Defining Research Areas:

Focus on the particular research region after recognizing a wider research problem. This assists in concentrating on your exploration. Below are few regions of research in IT domain, that are coordinated with possible research problems:

  1. Cybersecurity:
  • Problem: The major issue in the cybersecurity area is the rising complication of cyber threats and the risks of evolving technologies such as cloud computing and IoT.
  • Research Area: Specifically, for IoT devices, constructing novel encryption methods, intrusion identification frameworks, and safety protocols.
  1. Artificial Intelligence and Machine Learning:
  • Problem: The biased results are caused by the unfairness and objectivity in AI methods.
  • Research Area: To identify and decrease unfairness in the frameworks of machine learning, focus on examining suitable techniques.
  1. Blockchain Technology:
  • Problem: The main problem in this region is the energy absorption and scalability of blockchain mechanisms.
  • Research Area: Energy-effective infrastructures or scalable consensus technologies should be investigated.
  1. Data Science and Big Data Analysis:
  • Problem: The way of deriving valuable perceptions from complicated or unformatted datasets is considered a problematic task.
  • Research Area: Mainly, for big data visualization, focus on creating new data mining methods or equipment.
  1. Cloud Computing:
  • Problem: In cloud platforms, the data confidentiality and safety are the major issues.
  • Research Area: Safer multi-tenancy structures or confidentiality-preserving data processing approaches must be explored.
  1. Internet of Things (IoT):
  • Problem: The way of combining and managing heterogeneous IoT devices and data are considered as a hurdle.
  • Research Area: It is approachable to research IoT middleware, principles for interoperability, or edge computing approaches.
  1. Human-Computer Interaction (HCI):
  • Problem: The complication in this area is the process of improving the utility and availability of technology for users with incapacities.
  • Research Area: According to the user review and activities, it is better to formulate adaptive user interfaces or assistive mechanisms.
  1. Software Engineering:
  • Problem: In agile advancement settings, sustaining software consistency and quality are determined as a main obstacle.
  • Research Area: Mainly, for agile assignments, automatic testing equipment, continuing incorporation and employment activities, or quality criterions should be investigated.

Writing the Research Proposal:

Below are significant instructions that are to be followed while writing a research proposal:

  1. Introduction: It is advisable to introduce the wide discipline of IT and focus on the certain research region or problem.
  2. Background: Within the recent range of expertise, aim to offer a literature survey that formulates your research problem.
  3. Research Problem Statement: The research problem you intend to resolve should be described in an explicit manner.
  4. Objectives: It is approachable to mention the particular queries or goals that your study aims to respond to.
  5. Methodology: Encompassing the data gathering and exploration approaches, concentrate on explaining the techniques that you will employ to research the issue.
  6. Significance: In this section, it is appreciable to describe the relevance of your study, its dedication to the research domain, and its possible real-time impacts.

How to write Manuscript for Information Technology Research?

Writing a Manuscript in the field of Information Technology is considered as both captivating and a little bit complicated task. The following is an extensive instruction that support us while writing an IT research manuscript:

  1. Understand Our Audience
  • Target Audience: It is approachable to detect readers or viewers of our manuscript. According to the discussion or journal we intend to submit, the consultants, researchers, policymakers, or a combination might be involved.
  1. Choose the Right Journal or Conference
  • Scope and Relevance: A publication platform should be chosen in such a way whose range coordinates with the topic of your study. Generally, aim to determine the viewer, influence aspect, and the kind of study they publish.
  1. Structure Our Manuscript

Generally, a normal format is adhered to by many IT research manuscripts. The basic structure is as follows: Abstract, Introduction, Literature Review, Methodology, Results, Discussion, Conclusion, and References.


  • Brief Overview: A brief outline of the research problem, methodology, major outcomes, and relevance of our research should be offered.


  • Background: By offering contextual details and the setting of our study, we create the platform.
  • Research Problem: The research problem or query that our research resolves should be mentioned in an explicit manner.
  • Significance: It is appreciable to emphasize the relevance and possible influence of our study.

      Literature Review

  • Review Relevant Work: Relevant to our topic we outline previous studies, and recognize gaps that our research intends to overcome.


  • Research Design: Our research formulation, data gathering, and exploration approaches must be explained.
  • Justification: It is approachable to describe the reason why we select these techniques and in what way they are appropriate to our research query.


  • Present Findings: In this section, we outline the data gathered and the findings of our investigation. In order to assist our results, we employ visual aids such as diagrams, charts, and tables.
  • Be Objective: During this process, without any detailed explanations we demonstrate our findings.


  • Interpret Results: The significance of our results, in what way they resolve the research problem, and how they contrast with previous studies must be described in an explicit way.
  • Limitations: It is appreciable to recognize any challenges of our research and their possible influence on our results.


  • Summarize Key Findings: The major outcomes and their significance should be summarized in short.
  • Future Work: According to our results, it is beneficial to recommend regions for further investigation.


  • Cite Sources: Adhering to the citation format desired by our aimed publication, we mention all the references that are cited in our manuscript.
  1. Writing Tips
  • Clarity and Conciseness: Ignoring unwanted idioms or phrases, we write the manuscript in brief and explicit manner.
  • Consistency: All over the manuscript, it is better to assure the reliability of language, symbols, and format.
  • Revision: To enhance clearness, consistency, and coherent flow, focus on reviewing our manuscript for numerous times.
  • Feedback: In order to recognize regions for enhancement, it is beneficial to obtain review from peers or staff members.
  1. Submission Guidelines
  • Format: Based on the instructions of publication, structure our manuscript before submitting it. Usually, the necessities related to formation, size, citation format, and more are encompassed in this instruction.
  • Cover Letter: Establishing our manuscript and its importance, we offer a cover letter whenever it is necessary.
  1. Respond to Reviews
  • Reviewer Comments: According to the review from mentors or reviewers, we should be ready to alter or modify our manuscript. To enhance our manuscript, we resolve every suggestion in a complete manner by making essential modifications.

Information Technology Research Topics

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