jrasulzade’s Site

Past weeks:

Last weeks were productive, I have gained interesting information about drone management systems and strong/weak points of our project (Dialogue Management System). Seems like the volume of work is a little bit higher than I expected, but all problems are solvable.

Expectations:

I have heard about Embedded ML. For me, It will be really interesting to know about real projects that are able to combine ML tasks that require high computational power and Embedded device that limited in computational power.

Most of the areas in Machine Learning (ML) and Artificial Intelligence (AI) requires huge amount of data for training a model. And in the case if there is enough data and it matches to all requirements then the accuracy of the model will be high.

In my case, I would prefer to work with text in Azerbaijani language. In my previous experience, the main data source of text for me was news published in local web pages and the orthographic dictionary of Azerbaijani language. The dictionary had more than ten thousand words in initial form labeled with part of speech to which they belong. The data which is in the dictionary can be considered as a clean, because all words in orthographic dictionary are written in the correct way and matches to their labels. However, the data-set from news is dirty. It does not have any labels, has random text, misspelled words and that is the reason why accuracy of application decreases.

I am planning to do a project either related to Natural Language Processing (NLP) or Natural Language Understanding (NLU). Currently, I am thinking about spell correction. Therefore, most probably I will need to use the previous data from the dictionary, and additionally I will need to create a data set with misspelled words.

Doing any work is not easy, it requires knowledge, experience and patience. It is even more difficult if you are starting something new, and do have a leak in experience. However, this should not be a reason for leaving a duty. Research work, is more difficult because at the beginning of the work researcher may have no idea about the final product, risks and the difficulties that will be visible only in the future. Therefore, at any point of the time researcher must know clear answer to the following questions: Am I doing right things? Am I doing things right?

On the other hand, other organizations (ex, DARPA) have their list of questions that will help you to understand your research area. They seem easy and simple, but it is not always easy to answer to the following questions:

1. What are you trying to do?
   It is just the basic one for getting started. Simply tells you to describe your final product. Do you want to create something new or update existing solution? Is it a game that will catch attention of all teenagers, weapon that will disable firearms or a medical that will heal most of the existing diseases?
2. How is it done today, and what are the limits of current practice?
   For answering to this particular question, you must have clear understanding of the area you are working and must have some knowledge about existing products. It will be very funny and unprofessional if there is someone who wants to create a universal treatment and have no idea about what is "aspirin".
3. What’s new in your approach and why will it be successful?
   There is a Russian proverb: "There is no need to reinvent a bicycle". The meaning of it is that there is no need of doing anything in the case if it doesn't lead to some change. Moreover, if some work has to be done it would be better if the result of the work is success. So before answering to these questions, you need to prove firstly to yourself, and then to the auditory that you are doing right thigs, things that are not going fail in the long term.
4. Who cares? If you are successful, what difference will it make?
   Product can be a product only in the case if there is customer, who wants to own this product. From my point of view, any company, that specializes in weapons, will want to have a scientist in their team, who is able to create dinosaur killing gun. But unfortunately, there is no dinosaurs, and this item can only be served for human attraction in the museums or in the advertisement. Therefore, there is no reason for spending time, energy or money for the inventions that are not usable.
5. What are the risks and the payoffs?
   "Qaşı düzəldərkən, gözü çıxartma" (Azerbaijanian, translation: Do not damage to eye while improving eyelash.). Simply, homo sapiens at least must have some understanding about what may go wrong, and have a clear plan of solving or evacuating himself/herself during the tough time. From my point of view this is the most important question and no work should be done before having clear answer.
6. How much will it cost? How long will it take?
   Unfortunately, health (life) and the wealth of the human being is limited and spending it random stuff is not acceptable. So if you want to create a product that will make happy your grandpa it is better to do it as fast as possible.
7. What are the midterm and final exams to check for success?
   All products, must meet some expectations. These expectations must be continuously checked, and these test cases are midterm exam. Final exam is a little bit different, after it you will have clear idea about how successful your product is.
8. Why now?
   No job is being done without a need. Even simple stuff like sleeping, eating or drinking are being fulfilled when there is a need. Therefor, before doing a research you should know that it fits either to todays or tomorrows needs.

All in all, before starting a research researcher should do some research and have clear vision about future plans, obstacles and needs.

Jalal Rasulzade
MS Student from Azerbaijan

I'm Jalal Rasulzade, and currently I am doing my master degree in the field of Computer Science and Data Analytics in ADA and GWU.

I was born in Baku, Azerbaijan. My country is an interesting place with an ancient history. The footprints of ancient people can be observed in Qobustan, Maiden Tower, Shaki Khan Sarayi, Yanar Dagh and other places of the fire-land, Azerbaijan.

My Bachelors degree was Computer Engineering, therefore I have done my first steps in the world of Computers 6 years ago. During these 6 years I have actively participated in local competitions like ACM,ICPS, CANSAT. And even got 1st place in CANSAT-Azerbaijan in 2019 (with my team).

Currently I am mostly interested in Embedded Software Engineering (I do have an experience with working on some MCUs like STM32, AVR, NORDIC) and National Language Processing (mainly agglutinative languages).

Outside of Computers, I like to play board games. The wining or loosing of the game is not an important fact for me, I enjoy from the process of playing. Also, I am looking for a research/internship opportunities in the fields closed to NLP or Embedded Software Engineering.

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