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MSc
Костадин
Мишев
no.:
03489
researcher – active in research organisation
ORCID:
0000-0003-3982-3330
finki.ukim.mk
Foreign language skills
Research activity
| Code | Science | Field |
|---|---|---|
| P176 | Natural sciences and mathematics | Artificial intelligence |
| Code | Science | Field | Subfield |
|---|---|---|---|
| 2.12.05 | Technical and technological sciences | Computer engineering and informatics | Artificial intelligence and systems |
| 2.12.01 | Technical and technological sciences | Computer engineering and informatics | Programming languages and technologies |
| 2.12.02 | Technical and technological sciences | Computer engineering and informatics | Information systems and networks |
| 2.12.06 | Technical and technological sciences | Computer engineering and informatics | Data processing |
Keywords
data science,
natural language processing,
speech technologies
Education
| Level of education | Professional title | Study subject | Faculty | Year |
|---|---|---|---|---|
| Bachelor's degree | Bachelor of Engineering in Electrical Engineering and Informatio | Computer engineering and informatics |
University Sts. Cyril and Methodius - Skopje, Faculty of Computer Science and Computer Engineering
|
2013 |
| Master's degree | Master of Electrical Engineering and Information Technology | Computer Networks and E-Technologies |
University Sts. Cyril and Methodius - Skopje, Faculty of Computer Science and Engineering
|
2016 |
Doctoral dissertations and other final papers
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Obtaining results now
Employments
| Type of employment | Research org. | Research group | Date of employment | Position | Title |
|---|---|---|---|---|---|
| Full time employment (120%, RD:%) |
|
1/1/2018 | assistant-doctorant |
Biography
Kostadin Mishev, a Ph.D. candidate, is a research assistant at the Faculty of Computer Science and Engineering (FCSE) in Skopje. He is a highly qualified computer scientist with great knowledge of developing and implementing intelligent systems. His main expertise is deep learning for natural language processing in medicine and finance. He has attended many highly rated schools such as LAMBDA Big Data Analytics School, Google Eastern European Machine Learning Summer School, and OpenMultiMed Training School for medical data analytics. To date, he has been involved as a team leader in the development of several web and mobile applications as a product of research in the field of innovative applications.