Posudky závěrečné kvalifikační práce

The student worked on a challenging, multidisciplinary dissertation topic that integrated machine learning and EEG for the early diagnosis of depression with good technique.

Dílčí hodnocení
Kritérium	Známka	Body	Slovní hodnocení
Informace k zadání			The thesis was a challenging and innovative project that successfully merged neuroimaging with machine learning for early detection of depression. The student excelled, applying multiple machine learning techniques to EEG data, yielding good and could significantly impact mental health diagnostics. I am satisfied with the thorough execution and the potential implications of the work.
Práce s literaturou			She was very good in taking and going throguh availabe literature and she spent valueable time in going throguh that.
Aktivita během řešení, konzultace, komunikace			For her Bachelor's thesis, the student showed good dedication in finding and using a wide range of relevant material. Her ability to critically analyse and integrate different materials made her study more rigorous and innovative. The student regularly came for the meetings and was well prepared for the meetings.
Aktivita při dokončování			This Bachelor’s thesis was difficult because it required knowledge from the IT domain as well as medical domain in terms of clinical depression. I provided guidelines for final thesis writing, and suggested the content which should be included in the final thesis. The student was able to successfully complete the project within the one week extension provided to her after thesis submission deadline.
Publikační činnost, ocenění			The work done can be published as a conference paper.

Posudek oponenta

Malik, Aamir Saeed

Overall, the student has done good work in the thesis. The chapter on literature review is very impressive and the student has provided detailed overview of the published articles. The main shortcoming of the thesis are the specific details in the proposed methodology. Student could have easily written the specific details of the proposed methodology as is evident from the chapter on implementation and results.

Dílčí hodnocení
Kritérium	Body	Slovní hodnocení
Náročnost zadání		It is a difficult project because it requires not only knowledge in computer science but also needs to incorporate psychological, psychiatric and neurological concepts of depression. The challenges in understanding the underlying brain mechanisms, and the corresponding features extraction as well as their interpretation with respect to depression, makes it a difficult project.
Rozsah splnění požadavků zadání		The main shortcoming of the thesis is the description of the proposed methodology. The student could have provided more specific details of the proposed methodology. Overall, it is satisfactory thesis because the student did study the problem, conducted a literature review, proposed a model for the problem, implemented it, and provided the results with good number of quality metrics.
Rozsah technické zprávy		The thesis meets the minimum 40 standard pages requirement. Though it meets the requirement, the student could have easily expanded to more than 40 pages by including summary sections at the end of the chapters. It is important to have summary sections at the end of chapters so that the gist of the chapter can be discussed.
Prezentační úroveň technické zprávy	80	Overall, the structure of the thesis, in terms of chapters organization, is satisfactory. Chapter 1 provides an introduction, followed by theoretical introduction and literature review in chapters 2 and 3. Chapters 4 and 5 provide details of the proposed method and the corresponding implementation of the proposed method. Results are discussed in chapter 6 followed by conclusion in chapter 7. The major observation about the organization of the thesis is the missing flow between the sections in the chapters and this makes this thesis harder to read. Also, the chapters end suddenly. There should be a summary section at the end of the chapters. Also, some figures and tables are not referenced in the text.
Formální úprava technické zprávy	90	In terms of language, the thesis is readable and use of English language in the thesis is satisfactory. There are minor typos and grammatical mistakes. However, they are few and in general the thesis is fine.
Práce s literaturou	95	The student has done a good literature review. It is a very well written chapter with a detailed description of the published work. In addition, the student has provided nice tables at the end of every section highlighting the summary of the important articles with their limitations. The missing part in this chapter is the identification of gaps that the student would like to target in the thesis.
Realizační výstup	80	Proposed methodology is written in a very general way. It should be specific how the student do all the steps. Section 4.1 is not clear. Details are not provided. Section 4.2 – 60 hz is if data collected in US and its 50 hz generally otherwise. Overall, chapter 4 is not well written. Chapter 5 discusses the implementation. The steps of the proposed methodology become clearer after reading chapter 5. The implementation appears to be fine. However, more clarity should have been added in chapter 4. Table 6.1 shows 10 significant features. It is not clear if 10 features are used for classification, or more are used. Comparison of the results with other methods is not provided.
Využitelnost výsledků		The work consists of utilizing the traditional machine learning method of feature extraction and selection. The features proposed by the student have been used before by other researchers. The novelty is the combination of all these features and then providing the significant ones to the classifier. The use of various classifiers is the standard way of how its done.

Posudky

Posudek vedoucího

Zaheer, Muhammad Asad

Posudek oponenta

Malik, Aamir Saeed