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PhD Research proposal Presentation
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Presentation on theme: "PhD Research proposal Presentation"— Presentation transcript:
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Research Tips and Infromation
How to Make an Impressive Ph.D. Proposal Presentation to the University Panel
- Format of Ph.D. Proposal Presentation
Points to Ponder During Ph.D. Proposal Presentation
Slide 1: title slide, slide 2: introduction, slide 3: literature review, slide 4: motivation and research problem, slide 5: research question and objectives, slide 6: study design and methods, slide 7: predicted outcomes, slide 8: resources, slide 9: societal impact, slide 10: gantt chart, slide 11: potential challenges, slide 12: conclusion, how to convert my ph.d. proposal presentation to a survey paper, as a new ph.d. student, how can i improve my presentation skills for a ph.d. proposal presentation.
- How should Ph.D. students overcome the fear and anxiety of giving a Ph.D. proposal presentation?
What are the most common reasons for rejecting a Ph.D. proposal?
- What kind of profile is required to get into top Ph.D. programs?
Is it very essential to have publications for getting accepted to the Ph.D. program?
As part of the Ph.D. selection process, all students are required to present their Ph.D. proposal for approval to the Ph.D. Scrutiny Committee at the University. The goal of the Ph.D. proposal presentation and approval process is to receive constructive feedback on the proposal and ensure that the Ph.D. proposal is feasible and appropriate for Ph.D. work. The panel also can look into the timeline of the proposed work to ensure its feasibility within the given time frame. Above all, it gives an opportunity to the research scholar to face the panel during the Ph.D. proposal presentation at the early stage of his research.
Please note, before making the presentation you need to submit the 10-12 page PhD proposal Report to the University and then make presentation in front of the selection panel. The selection panel will go through both your report and presentation for making selection. If you are not familiar with writing PhD proposal report, please visit my blog post on “Writing PhD Proposal Report to the University” for clear understanding of writing the PhD proposal report in a a concise and professional manner.
Format of Ph.D. Proposal Presentation
The time duration of the presentation will be around 15-20 minutes. The presentation slides should be simple, well-structured, and effective.
The presentation slides should include the following:
- The Title of the work along with the candidate and supervisor details along with their affiliations.
- Introduction to the proposal
- A brief review of relevant literature
- Motivation for the work
- Statement of the research problem and goals
- Research question, objectives of the proposal
- Study design, methods for data collection, measures
- Predicted outcomes if everything goes according to plan
- Resources to complete the work
- Societal impact
- A timetable of activities ( Gantt Chart )
- Potential challenges
Maintaining the time limitation of the Ph.D. proposal presentation is crucial otherwise the panel members may stop the presentation after the time limit and the candidate may lose his chance to clearly explain the idea.
After the Ph.D. proposal presentation, the candidate has to face the panel for clearing their doubts regarding the proposal. For this session to run smoothly, prior to this presentation the candidate has to present his work to his guide and other fellow researchers of his choice several times to get acquainted with the concepts and queries.
During the discussion, the panel may ask the following questions to the candidate
- What is the (social, scientific) significance of the proposal?
- How will you approach your research question?
- Is your proposal novel? How is it related/compared to prior works?
- What difficulties do you expect to encounter during the implementation?
- What will be the impact of this proposal on research/society?
- Show the sample of data you are planning to collect.
- What research has already been done in the proposed area? What deficiencies or gaps need attention?
- In the proposed domain, can you list the other ongoing research works?
- Why do you think your research is reliable?
- Why do you think your research is valid?
- How do you validate your outcomes?
- In what way(s) does your research proposal contributes to knowledge?
- What research methodology do you use?
- Why did you use a particular research methodology?
- Can you bridge any gap in your work?
- What are the limitations of the proposal?
- Which programming language will you use to write your program? (for computer science students)
- What source of data will be employed for the research? whether you are data is benchmarked?
- Have you taken permission to use the data set you are planning to use in your research?
- What is the strongest point in your proposal?
- In what way your research is environment friendly?
- Suppose the proposed method does not work then what alternate solution you have planned for?
- Who are the experts you are in contact with in the domain you are working?
- What are the gaps you have identified in paper XYZ shown in your references?
- How is your method better than the method proposed in paper PQR?
During the Ph.D. proposal presentation, the following points should be given prime importance
- Use simple color combinations (contrasting colors) for your slides
- Make eye contact with your panel members
- Do not have any other personal material on the pen drive or External Hard Disk in which you carry your presentation
- Do not write an entire paragraph in slides.
- Add a story to your presentation . This story which you will discuss can be a problem you have seen in a specific domain where you are planning to work and explain how your research proposal may solve that problem.
- Do not start teaching the basic concepts. The panel members already know the basic concepts. Only concentrate on objectives and methodology.
- Start your presentation by disclosing a surprising /shocking fact, about the work you are considering. This will create interest in the panel members
- Highlight the papers presented/ workshops attended by you relating to your research.
- Acknowledge the domain experts with whom you are interacting to collect the data sets ( This will indirectly show the quality of the data sets you are planning to use ).
- Use pause in between your presentation. A pause is an effective way to grab attention.
- Offer alternative solutions/backup plans for your research work.
- Do not cross the time limit
- Have Backup slides
- If you do not know the answer to any of the questions say confidently that you have not come across that concept or you do not have a clear idea regarding the same. Do not bluff. This may leave a wrong impression on the panel.
Ph.D. Proposal Presentation Template
- Title of the work
- Candidate’s name and affiliation
- Supervisor’s name and affiliation
- Briefly introduce the topic
- Explain why the topic is important and relevant
- Provide a brief overview of what the presentation will cover
- Summarize the key findings of relevant literature
- Identify gaps and limitations in the existing research
- Explain how your work will contribute to filling these gaps
- Explain the motivation behind your work
- Clearly state the research problem you are addressing
- State your research question
- Clearly articulate your research objectives
- Explain your study design and why you chose it
- Describe your data collection methods and measures
- Present your predicted outcomes if everything goes according to plan
- Explain how these outcomes will contribute to the field
- Identify the resources you will need to complete your work
- Explain how you will obtain these resources
- Describe the potential societal impact of your work
- Explain how your work will benefit society
- Present a Gantt chart representing the timetable of the activities planned
- Explain how you will manage your time to complete your work on schedule
- Identify potential challenges you may encounter during your research
- Explain how you plan to address these challenges
- Summarize the key points of your presentation
- Conclude by emphasizing the significance of your work and its potential impact
Slide 13: Questions
- Encourage the audience to ask questions
- Thank the audience for their attention
Remember to keep your presentation simple, well-structured, and effective. Use clear and concise language, and make sure your presentation is visually engaging. Good luck with your PhD proposal presentation!
- Title of the work: “A Comparative Study of Deep Learning Techniques for Image Recognition in Medical Imaging”
- Candidate’s name and affiliation: Sarah Johnson, Department of Computer Science, University of ABC
- Supervisor’s name and affiliation: Dr. Robert Lee, Department of Computer Science, University of ABC
In this slide, you have to include the title of your work, your name and affiliation as the PhD candidate, and your supervisor’s name and affiliation. The title should be concise and descriptive, conveying the essence of your research.
- Briefly introduce the topic: Deep Learning Techniques for Image Recognition in Medical Imaging
- Explain why the topic is important and relevant: Accurate and efficient image recognition in medical imaging is crucial for diagnosis, treatment planning, and monitoring of patient progress. However, the current state-of-the-art algorithms still have limitations in handling the complexities of medical images, such as noise, variation in size and shape, and variation in imaging protocols.
- Provide a brief overview of what the presentation will cover: In this presentation, I will introduce my proposed research on a comparative study of deep learning techniques for image recognition in medical imaging. I will briefly cover the literature review, the research problem and goals, the study design, and the expected outcomes of the research.
In this slide, you have to provide an introduction to your research topic, explaining its importance and relevance in the field. The introduction should set the context for your research and explain why it matters.
- Summarize the key findings of relevant literature: Previous research has shown that deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have achieved state-of-the-art results in various image recognition tasks, including medical image recognition. However, the performance of these techniques can be affected by factors such as the size and complexity of the dataset, the selection of hyperparameters, and the choice of architecture.
- Identify gaps and limitations in the existing research: While previous studies have compared the performance of different deep learning techniques for image recognition in general, there is a lack of research that compares and evaluates the performance of these techniques specifically in medical imaging. Additionally, there is a need for research that investigates the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of deep learning models in medical image recognition tasks.
- Explain how your work will contribute to filling these gaps: The proposed research aims to contribute to filling these gaps by conducting a comparative study of various deep learning techniques for image recognition in medical imaging. The study will also investigate the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of these techniques in medical image recognition tasks. The results of this study will provide valuable insights into the strengths and limitations of different deep-learning techniques in medical imaging, and help inform the development of more accurate and efficient algorithms in the future.
In this slide, you have to summarize the key findings of relevant literature in your research area, identify gaps and limitations in the existing research, and explain how your work will contribute to filling these gaps.
In this format, the information is organized into three sections: key findings, gaps and limitations, and contribution of proposed work. Each section is presented as a bullet point, with the main idea in bold, followed by a brief explanation. This format can be useful for presenting information in a clear and concise manner, while still providing enough detail to convey the main points.
In this format, the motivation and research problem are presented as two separate sections, with each section consisting of bullet points. The motivation section explains why the topic is important and why the proposed research is needed, while the research problem section clearly states the specific questions that the research will address. This format can help ensure that the motivation and research problem are clearly articulated and easy to understand.
In this format, the research question and research objectives are presented as two separate sections, with each section consisting of bullet points. The research question clearly states the specific problem that the research will address, while the research objectives explain the specific goals that the research aims to achieve in order to answer the research question. This format can help ensure that the research question and objectives are clearly articulated and easy to understand.
In this format, the study design and data collection methods are presented as two separate sections, with each section consisting of bullet points. The study design section provides an overview of the design of the study, including the specific groups being compared and the methods used to control for confounding factors. The data collection methods section describes the datasets and measures being used, as well as the specific methods being employed to train and test the deep learning models. This format can help ensure that the study design and methods are clearly explained and easy to understand.
In this format, the predicted outcomes are presented as bullet points, along with an explanation of how they will contribute to the field. The predicted outcomes are based on the study design and methods described in previous slides and can help to demonstrate the potential impact of the proposed research.
This slide presents the resources needed to complete the work, along with an explanation of how these resources will be obtained. This can help to demonstrate that the necessary resources have been identified and that a plan is in place to obtain them.
This slide presents the potential societal impact of the work and how it will benefit society. This can help to demonstrate the broader implications and significance of the research.
Gnatt chart representing the timetable of the activities planned
You have to create a Gantt chart to represent the activities that are planned for completing this research work within the given time frame. The time frame can change depending on the Univesity’s stipulated guidelines for full-time and part-time Ph.D. programs.
The chart is divided into five different stages, which are:
- Completion of the Course Work: You need to complete the coursework papers as per University Guidelines. This stage is expected to take 12 months.
- Literature review: In this stage, we will review and analyze the existing literature to identify gaps and limitations in the research. This stage is expected to take 06 months.
- Data collection: In this stage, we will collect the required data by conducting experiments and surveys. This stage is expected to take 06 months.
- Data analysis: In this stage, we will analyze the collected data to draw meaningful insights and conclusions. This stage is expected to take 3 months.
- Model development: In this stage, we will develop the proposed model and implement it. This stage is expected to take 12 months.
- Results and Analysis: In this stage, we will gather the results from various dimensions of the proposed model and analyze them. This stage is expected to take 03 months.
- Writing and submission: In this stage, we will write and submit the final research report and the thesis. This stage is expected to take 06 months.
You have to allocate appropriate time for each stage to complete the work on schedule. You have to keep track of the progress regularly and make necessary adjustments to the plan to ensure the timely completion of the research work.
In this section, you have to discuss some potential challenges which you may encounter during your research and how you plan to address them.
- Access to data: Since we are planning to collect data from several sources, it may be challenging to obtain access to all the necessary data.
- Time constraints: We have a strict timeline to follow, and any delays could affect the overall success of the project.
- Technical difficulties: There is always a risk of encountering technical difficulties during data collection or analysis.
Addressing the Challenges:
- Data access: We will communicate with the relevant authorities and request access to the data needed for our research. We will also explore alternative sources of data if necessary.
- Time constraints: We will break down our research into smaller, more manageable tasks and allocate sufficient time for each. We will also build in extra time in case of unexpected delays.
- Technical difficulties: We will test our data collection and analysis tools thoroughly beforehand to minimize the risk of technical difficulties. We will also have contingency plans in place in case of any issues that may arise.
By identifying potential challenges and having a plan in place to address them, you can ensure that your research progresses smoothly and efficiently.
In conclusion, this presentation has outlined a research proposal for a comparative study of deep learning techniques for image recognition in medical imaging. The key points covered in this presentation are:
- The importance of developing accurate and efficient image recognition techniques for medical imaging, which can assist in the diagnosis and treatment of various medical conditions
- A review of the relevant literature in this field has identified the need for further research to compare the performance of different deep-learning techniques for image recognition in medical imaging
- The research problem, objectives, and research question, aim to address this need by comparing the performance of different deep-learning techniques for image recognition in medical imaging
- The study design and methods, which will involve collecting and analyzing medical imaging data using various deep-learning techniques
- The predicted outcomes of the study, which could contribute to improving the accuracy and efficiency of image recognition in medical imaging
- The resources required to complete the study, including access to medical imaging data and computational resources
- The potential societal impact of the study, which could benefit patients and healthcare providers by improving the accuracy and efficiency of medical imaging
- The timetable of activities, which has been represented in a Gantt chart to ensure that the study is completed on schedule
- The potential challenges that may be encountered during the research, and the strategies that will be used to address these challenges.
Overall, this research proposal has the potential to contribute to the field of medical imaging by providing valuable insights into the performance of different deep-learning techniques for image recognition. By improving the accuracy and efficiency of image recognition in medical imaging, this research could ultimately benefit patients and healthcare providers.
Here is an interesting thing. You may be wondering about the amount of effort you have put into preparing the Ph.D. proposal material and its further usage. Here is a quick tip. In fact, after finishing my Ph.D. proposal presentation my supervisor asked me to convert that material into a survey paper so that it can be showcased in the first Doctoral committee meeting to gain some brownie points from the members. I did the same and got lots of admiration from the committee members.
To convert your Ph.D. proposal material to a survey paper, you can start by using your existing literature review as the foundation. Expand your literature review to include a broader range of sources and provide a comprehensive overview of the research area. Use your research question and objectives to structure your paper and provide a detailed analysis of existing research, highlighting gaps and potential areas for future research.
Check out our blog posts listed below on how to write a survey paper and a structured literature review for more guidance on structuring and writing your paper.
How to write a better Survey Paper in 06 easy steps?
The Art of Conducting a Systematic Literature Review (SLR): Expert Advice for Researchers
Unlock Exclusive Access to the PhD Navigator Tool – for a Streamlined Research Experience for FREE!
Dear fellow researchers,
If you are a PhD research scholar or planning to pursue PhD, I understand the value of time in your PhD journey. That’s why I have organized my blog posts related to PhD meticulously, categorizing more than 100 articles into various stages of PhD (from planning of PhD to careers after PhD).
You can get this tool ABSOLUTELY FREE , by sending an email to [email protected] with the subject line “Subscribe: PhD Navigator Tool-1.0” By subscribing not only will you gain free access to this invaluable tool, but you’ll also receive regular updates on this tool and our blog’s latest insights, tips, and resources tailored for researchers.
Dr Vijay Rajpurohit
A Ph.D. proposal presentation is a crucial step in obtaining approval for your research project. It requires careful planning, organization, and presentation skills to effectively communicate the significance, goals, and methods of your proposed research to the review committee.
By following the tips and guidelines discussed in this blog post, you can create an impressive and compelling presentation that showcases your expertise and potential to make a significant contribution to your field of study.
Remember to emphasize the importance and potential impact of your research, address potential challenges, and provide a clear timeline and plan for your project.
With a well-prepared presentation, you can increase your chances of obtaining approval for your Ph.D. proposal and embarking on a successful research journey.
Frequently Asked Questions
To get yourself accepted by the Ph.D. panel you need to do lots of research regarding the domain of interest in which you plan to pursue your Ph.D. Read the base paper thoroughly so that you will be clear regarding the basic implementation details. You need to do lots of rehearsals in front of your friends and family members, and in front of the mirror.
How should Ph.D. students overcome the fear and anxiety of giving a Ph.D. proposal presentation ?
By improving their domain knowledge; interacting with domain experts; listening to podcasts and youtube videos related to the concerned domain; and honing their communication skills, Ph.D. students can overcome fear and anxiety while giving the presentation.
The main reasons for rejecting the proposal are the limited literature survey; incomplete research gap analysis of the domain; non-coherent objectives; and the poor link between the aim and the objectives.
What kind of profile is required to get into top Ph.D. programs?
One or two good publications or conference presentations in the related domain of research will boost the chances of getting into top Ph.D. programs.
It is not essential to have publications for getting accepted to the Ph.D. programs. With thorough knowledge of the domain of research and clearly defined aims and objectives, one can impress the research panel to consider the applicant for the PhD admission.
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RESEARCH PROPOSAL PRESENTATION
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Providing for a family is a challenging task in today’s world. Parents work long hours to pay bills and ensure that their children live a comfortable life. As a result, most parents return home tired and with little energy or time to follow up on their children’s educational progress. Some parents delegate all educational responsibilities to teachers.
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