Research Papers PHD

PhD Students - Which tense to use in your research papers?

PhD Students - Here is an example of a good discussion section.

A good discussion section should answer 6 questions.

1. What is different in your findings compared to previous research?

2. What is similar in your findings compared to previous research?

3. How different sections of your results section correlate?

4. What are the implications of your findings for practitioners?

5. What are the implications of your findings for researchers?

6. What are the limitations or threats to the validity of your findings?

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PhD Students - Do you need datasets for your research?

Here are 30 datasets for research from NexData.

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1. Korean Exam Question Dataset for AI Training

https://lnkd.in/d_paSwt7

2. Multilingual Grammar Correction Dataset

https://lnkd.in/dV43iqTp

3. High quality video caption dataset

https://lnkd.in/dY9kxkhx

4. 3D models and scenes datasets for AI and simulation

https://lnkd.in/dT-zscH4

5. Image editing datasets – object removal, addition & modification

https://lnkd.in/dd8iCGMS

6. QA dataset – visual & text reasoning

https://lnkd.in/dc3TNWFD

7. English instruction tuning dataset

https://lnkd.in/dTeTgd2M

8. Large scale vision language dataset for AI training

https://lnkd.in/dBJuxazN

9. News dataset

https://lnkd.in/dYBJe5gd

10. Global building photos dataset

https://lnkd.in/dVJsDXnC

11. Facial landmarks dataset

https://lnkd.in/dz_KGCS4

12. 3D Human Pose & Landmarks dataset

https://lnkd.in/dXE9ir8Z

13. 3D Hand Pose & Gesture Recognition dataset

https://lnkd.in/d_QdGGb9

14. 14. Driver monitoring dataset – dangerous, fatigue

https://lnkd.in/d6kF-9PW

15. Japanese handwriting OCR dataset

https://lnkd.in/dHnriqrH

16. American English Male voice TTS dataset

https://lnkd.in/dqyvg862

17. Riddles and brain teasers dataset

https://lnkd.in/dKBHY3DE

18. Chinese test questions text

https://lnkd.in/dQpUd8xC

19. Chinese medical question answering data

https://lnkd.in/dsbWUCpz

20. Multi-round interpersonal dialogues text data

https://lnkd.in/dQiUq_Jg

21. Human activity recognition dataset

https://lnkd.in/dHM52MfV

22. Facial expression recognition dataset

https://lnkd.in/dqQAfMau

23. Urban surveillance dataset

https://lnkd.in/dc2RCnTk

24. Human body segmentation dataset

https://lnkd.in/d6sSrDxS

25. Fashion segmentation – clothing & accessories

https://lnkd.in/dptNUTz8

26. Fight video dataset – action recognition

https://lnkd.in/dnY_m5hZ

27. Gesture recognition dataset

https://lnkd.in/dFVPivYg

28. Facial skin defects dataset

https://lnkd.in/dKCbUvU6

29. Smoke detection and behaviour recognition dataset

https://lnkd.in/ddGg56R4

30. Weight loss transformation video dataset

https://lnkd.in/dqqT4ed9

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PhD Students - Do you want to learn how to do research?

If yes, check out these free resources.

𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 𝐀𝐜𝐚𝐝𝐞𝐦𝐲 offers free resources.

Here are 10 of my favorite resources.

𝟏. 𝐇𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰 (𝟔𝟎 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- What reviewers look for in a literature review?

- How to conceptualize and write a review?

- Common myths about literature reviews.

Link: https://lnkd.in/gRsWFvdy

𝟐. 𝐇𝐨𝐰 𝐭𝐨 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐠𝐚𝐩𝐬 (𝟏𝟐 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- What is research gap?

- Steps for identifying research gap.

- Tools for identifying research gap.

Link: https://lnkd.in/gvxgD95D

𝟑. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐨𝐧𝐝𝐮𝐜𝐭 𝐞𝐯𝐢𝐝𝐞𝐧𝐜𝐞-𝐛𝐚𝐬𝐞𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 (𝟑𝟖 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- What is evidence-based research?

- Stepwise approach for conducting evidence-based research.

- How to enhance reliability of your research?

Link: https://lnkd.in/gMUxXybm

𝟒. 𝐇𝐨𝐰 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬? (𝟏𝟓 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- How to conduct basic search?

- Save searches and set up alerts.

- How to download and export searches?

Link: https://lnkd.in/gKXauFHr

𝟓. 𝐇𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚𝐧 𝐚𝐛𝐬𝐭𝐫𝐚𝐜𝐭 (𝟒𝟎 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- Why a good abstract is important?

- What is ideal length of abstract?

- What to include in the abstract?

Link: https://lnkd.in/g9drbDZF

𝟔. 𝐇𝐨𝐰 𝐭𝐨 𝐬𝐞𝐜𝐮𝐫𝐞 𝐟𝐮𝐧𝐝𝐢𝐧𝐠? (𝟔𝟎 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- How to write grant application?

- What funders look for in grant applications?

- Tips for winning grants.

Link: https://lnkd.in/g-diuMPv

𝟕. 𝐇𝐨𝐰 𝐭𝐨 𝐮𝐬𝐞 𝐆𝐞𝐧 𝐀𝐈 𝐢𝐧 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 (𝟓𝟑 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- How has Gen AI impacted research?

- How to use Scopus AI search tool?

- Future of Gen AI in research

Link: https://lnkd.in/gepXEzBf

𝟖. 𝐀𝐮𝐭𝐡𝐨𝐫 𝐩𝐨𝐥𝐢𝐜𝐢𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐮𝐬𝐞 𝐨𝐟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐀𝐈 (𝟏𝟏 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- Ethical cases related to Generative AI

- Opportunities offered by Generative AI

- Risks posed by Generative AI

Link: https://lnkd.in/gT4Xg7yP

𝟗. 𝐇𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐜𝐨𝐯𝐞𝐫 𝐥𝐞𝐭𝐭𝐞𝐫 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐦𝐚𝐧𝐮𝐬𝐜𝐫𝐢𝐩𝐭 (𝟖 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- Importance of a good cover letter

- How to write strong cover letter?

- What to include in the cover letter?

Link: https://lnkd.in/gFA_pNkD

𝟏𝟎. 𝐇𝐨𝐰 𝐭𝐨 𝐫𝐞𝐬𝐩𝐨𝐧𝐝 𝐭𝐨 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐫𝐬’ 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬? (𝟑𝟕 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)

You will learn

- Understanding reviewers’ comments

- How to write response to each comment?

- How to increase your chances of paper acceptance?

Link: https://lnkd.in/gcG7mxrc

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

PhD Students - Do the following before you start writing your thesis.


𝟏. 𝐔𝐬𝐞 𝐋𝐚𝐭𝐞𝐱, 𝐧𝐨𝐭 𝐌𝐒 𝐖𝐨𝐫𝐝: Writing a 100+ page document in MS word can become a headache. Arranging headings, tables of content, references, etc can become a challenge. So, instead of MS word, use Latex. It will take care of all such things.

𝟐. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐞𝐱𝐞𝐦𝐩𝐥𝐚𝐫 𝐭𝐡𝐞𝐬𝐞𝐬: Before starting your thesis, identify 10-15 exemplar theses that is within your research area or the PhD is carried out in a similar fashion as yours. Skim through them especially the first chapter to understand how to structure your thesis.

𝟑. 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐬𝐭𝐨𝐫𝐲: During your PhD, you work on different papers that might not be totally linked in a straightforward way. Put these different pieces in front of yourself and think about how to make them link with each other and make a smooth story.

𝟒. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐚𝐤𝐞 𝐨𝐫 𝐛𝐫𝐞𝐚𝐤: This chapter summarizes your whole thesis and leaves an impression on the reader/examiner. Invest the most amount of time in writing this chapter. Amongst others, clearly mention upfront the research papers you have published during your PhD.

𝟓. 𝐂𝐫𝐢𝐬𝐩 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬: Mention within 3-4 lines the concrete problem you have solved during your PhD. Also, examiners look for 3-4 solid contributions. Don't make them search for them. Present these contributions upfront in the Introduction chapter.

𝟔. 𝐓𝐡𝐞𝐬𝐢𝐬 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐯𝐢𝐚 𝐚 𝐟𝐢𝐠𝐮𝐫𝐞: PhD thesis is a very long document. Navigating through it can be a challenge. Include a figure in the Introduction section that shows the organization of the thesis including the various chapters. You can check my PhD thesis for such a figure.

𝟕. 𝐂𝐥𝐞𝐚𝐫𝐥𝐲 𝐦𝐞𝐧𝐭𝐢𝐨𝐧 𝐲𝐨𝐮𝐫 𝐩𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: If you have published some of your research, mention it upfront in your thesis. This shows to reviewers that part of your research has already been peer-reviewed.

𝟖. 𝐒𝐞𝐞𝐤 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤: Manage your writing in a way that each part gets reviewed. If you are running short of time, you can send each chapter separately as it completes to your supervisors for feedback.

𝟗. 𝐓𝐡𝐨𝐫𝐨𝐮𝐠𝐡𝐥𝐲 𝐩𝐫𝐨𝐨𝐟𝐫𝐞𝐚𝐝: One of the most common comments from thesis reviewers is to fix the typos. Proofread your entire thesis a couple of times before submission to avoid getting this comment.

𝟏𝟎. 𝐋𝐢𝐧𝐤 𝐜𝐡𝐚𝐩𝐭𝐞𝐫𝐬 𝐭𝐨 𝐞𝐚𝐜𝐡 𝐨𝐭𝐡𝐞𝐫: Make sure that the chapters are linked together. For example, it shouldn't appear that when the reviewer starts reading chapter 4, it is completely different from chapter 3.

PhD students — Do these 10 things in the first year of your PhD.

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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