Aleksandra Kovachev, PhD

Aleksandra Kovachev, PhD

Metropolregion Berlin/Brandenburg
4470 Follower:innen 500+ Kontakte

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Info

Contact:
[email protected]
[email protected]

Aktivitäten

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Berufserfahrung

  • Delivery Hero Grafik

    Delivery Hero

    Berlin, Germany

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    Berlin, Germany

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    Berlin Area, Germany

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    Berlin Area, Germany

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    Skopje

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    Skopje, North Macedonia

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    Graz, Styria, Austria

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    Prilep, North Macedonia

Ausbildung

  • Faculty of Computer Science and Engineering - Skopje Grafik

    Faculty of Computer Science and Engineering - Skopje

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    Thesis: Knowledge extraction and information consensus in
    complex networks
    o Network clustering algorithms for protein annotation prediction
    o Enhanced consensus algorithm in networks using Hebbian learning
    o Knowledge extraction from food-drug DBs with NLP, RDF, SPARQL
    Mentor: Prof. Dr. Ljupco Kocarev

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    Area: Computer Science

    Thesis: Evaluation of bioinformatics algorithms with focus on high-
    throughput sequencing

    Mentor: Prof. Dr. Ljupco Kocarev
    Subjects: Modern Methods for Network Analysis, Stochastic Processes,
    Computational and Systems Biology

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    Activities and Societies: IAESTE

    Bachelor thesis: Multivariate analysis of colorectal cancer data in Macedonia, join project with the Faculty of Pharmacy.
    Mentor: Ljupco Kocarev
    Four diplomas for finishing the academic years with the highest average grade.

Veröffentlichungen

  • Inferring Cuisine - Drug Interactions Using the Linked Data Approach

    Scientific Reports

    Food - drug interactions are well studied, however much less is known about cuisine - drug interactions. Non-native cuisines are becoming increasingly more popular as they are available in (almost) all regions in the world. Here we address the problem of how known negative food - drug interactions are spread in different cuisines. We show that different drug categories have different distribution of the negative effects in different parts of the world. The effects certain ingredients have on…

    Food - drug interactions are well studied, however much less is known about cuisine - drug interactions. Non-native cuisines are becoming increasingly more popular as they are available in (almost) all regions in the world. Here we address the problem of how known negative food - drug interactions are spread in different cuisines. We show that different drug categories have different distribution of the negative effects in different parts of the world. The effects certain ingredients have on different drug categories and in different cuisines are also analyzed. This analysis is aimed towards stressing out the importance of cuisine - drug interactions for patients which are being administered drugs with known negative food interactions. A patient being under a treatment with one such drug should be advised not only about the possible negative food - drug interactions, but also about the cuisines that could be avoided from the patient's diet.

    Andere Autor:innen
    Veröffentlichung anzeigen

  • Exploring function prediction in protein interaction networks via clustering methods

    PloSOne

    Andere Autor:innen
    • Kire Trivodaliev
    • Ljupco Kocarev
    Veröffentlichung anzeigen

  • Synchronization and consensus in state-dependent networks

    IEEE Transactions on Circuits and Systems I

    Andere Autor:innen
    Veröffentlichung anzeigen

Auszeichnungen/Preise

  • Additional Honors and Awards

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    Awarded with one of 125 scholarships for IT students by the Ministry of Education, Macedonia, years 2008 and 2009.

    Four Diplomas for achievement of a remarkable success in the studies and an average grade of over 9 (2006-2010) from the Faculty of Electrical Engineering and Information Technologies in Skopje, Macedonia.

Sprachen

  • Macedonian

    Muttersprache oder zweisprachig

  • Englisch

    Verhandlungssicher

  • German

    Gute Kenntnisse

  • Slavic languages

    Fließend

Organisationen

  • IEEE

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    –Heute

  • IAESTE

    Job raising coordinator

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  • Mensa Macedonia

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Erhaltene Empfehlungen

  • LinkedIn Mitglied

    LinkedIn Mitglied

    „It was an honor to work with Dr. Aleksandra Kovachev. She was my mentor during my data science working student position at Delivery Hero SE and I was directly reporting to her. Her dedication to her job was exemplary. She was always coming up with the new ideas which addressed the customer needs and business growth. She is such a multitasking person. Aleksandra is always supportive on giving the opportunities to students and recent graduates. While working with her, I learned a lot. The project that I worked on was the part of my master thesis and during this period, I was able to see Aleksandra's deep reseach skills as well. I feel lucky to work under her mentorship. Her practical experience combined with the strong academic background makes her an expert in Machine Learning. I ensure that the employer who has Aleksandra in the team is the luckiest.“

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