logseq/pages/Maxime_Gobert-NAMUR-Cleve.md

type::  [[meeting]]
external-links:: https://teams.microsoft.com/l/meetup-join/19%3ameeting_NDQ5YTMzNWEtNTUwMy00NzRiLTlhZWItNTg4OWFmOTIwZWZh%40thread.v2/0?context=%7b%22Tid%22%3a%225f31c5b4-f2e8-4772-8dd6-f268037b1eca%22%2c%22Oid%22%3a%22363e7449-861f-4e7f-bbfa-9e6261d7a69a%22%7d 
file:: ![Thesis-MaximeGobert.pdf](../assets/Thesis-MaximeGobert_1669830304348_0.pdf)
tags:: [[REVIEWS/PhDThesis]] 
year:: 2022
people:: 
date:: [[07-12-2022]] - 09:02

	- A mid-term presentation was done with Maxime in June 2021 as in the notes available at [Maxime Gobert - PhD presentation Uni Namur](onenote:https://d.docs.live.net/a33324427a144a54/Documenti/Blocco%20appunti%20di%20Davide/Note%20rapide.one#Maxime%20Gobert%20-%20PhD%20presentation%20Uni%20Namur&section-id={1B727D4D-E16F-430D-B128-92A2F900C1F4}&page-id={BF298E21-F525-4908-A200-5ADE8552C162}&end)  ([visualizzazione Web](https://onedrive.live.com/view.aspx?resid=A33324427A144A54%21464&id=documents&wd=target%28Note%20rapide.one%7C1B727D4D-E16F-430D-B128-92A2F900C1F4%2FMaxime%20Gobert%20-%20PhD%20presentation%20Uni%20Namur%7CBF298E21-F525-4908-A200-5ADE8552C162%2F%29))
	- **The plan is**
		- $\approx$45-55 minutes of presentation + round of questions ($\approx$20 minutes per jury member)
	- [[Highlights]][[question]]
		- ((63904285-ca9a-4075-8e48-94b81df7fdaf))
			- You verified only the numbers of the returned objects, or did you also check the content of the results?
		- ((639044a3-6f89-4b21-aaa1-c84fda2d0589))
			- The difference with Typhon results is not clear!
			- ((63904759-6465-49f5-90e4-e13a14c4b7fd))
				- It is not clear how to put this in relation with TyphonQL
			- It is mainly related to the second research question
		- You performed a user study. Can you quickly summarize the aspects you wanted to assess?
			- So qualitative aspects
		- What about quantitative aspects e.g. related to performance, added overload due to the added intermediate layer?
		- Did you reimplement TyphonQL?
	- **Maxime Presentation**
		- ![image.png](../assets/image_1670401025984_0.png)
		- ![image.png](../assets/image_1670401049046_0.png)
		- ![image.png](../assets/image_1670401188731_0.png)
		- ![image.png](../assets/image_1670401287396_0.png)
			- It is not completely clear the role of this tagging process you performed. To that extent it contributed to the overall thesis work?
		- ![image.png](../assets/image_1670401916678_0.png)
			- We solved this in TyphonML!!!!
		- ![image.png](../assets/image_1670402993116_0.png)
		- ![image.png](../assets/image_1670403185803_0.png)
			- You counted the number of retrieved items? Have you also checked the content of the results?
	- Thesis accepted with "minor revision"
		- Comparison query based vs API based
		- Extend the future challenge sections by discussing current limitations of hydra including eg. Performance aspects
		- Improve the glue among the different parts of the thesis
		- The date of the public defence will be decided shortly.
-