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15.04.2019 09:40
Новини

Seminar „Artificial Intelligence Implementations“

Building 2, Room 607


Organizer:

Department of Informatics of the NBU in cooperation with
University "St. St. Cyril and Methodius" in Skopje, Republic of Northern Macedonia

Lecturer:
Eftim Zdravevski


Topics:

1. Platform that utilizes Natural Language Processing (NLP) to eliminate a lot of the manual work involved in performing scoping and surveying reviews.

2. Framework that automates the feature engineering and selection process in time series classification.

3. Algorithms’ performance speed-up based on Big Data parallelisation in Hadoop and Apache Spark.

4. A use-case of applied deep learning for segmenting and tagging regions of interests in images.

The seminar is part of the cooperative work between colleagues from the Department of Informatics at New Bulgarian University and the Faculty of Computer Science and Engineering of the Sts Cyril and Methodius University in Skopje, North Macedonia. More specifically the visit is part of the networking under European Commission COST Action CA 16226 SHELDON (Indoor living space improvement: Smart Habitat for the Elderly).

Eftim Zdravevski (PhD in Computer Science 2017, MSc in Computer Science 2010, Dipl. Eng. 2008) is an Assistant Professor at the Faculty of Computer Science and Engineering of the Sts Cyril and Methodius University in Skopje, North Macedonia, where he works since 2010. During his research career, he has published over 60 papers in international conferences and top ranked journals, including PLoS ONE, IEEE Access and MDPI Sensors. He has participated or lead national and international research projects related to time series analytics, feature engineering and selection, and application of ML for activity recognition. His active fields of research interests are: Big Data, machine learning, data mining, cloud computing, knowledge-based systems, decision support systems, time series analysis and forecasting, parallel algorithms, etc.

Throughout his career he had been designing and developing systems for fraud detection, churn prediction, AdSense, analytics and forecasting in Big Data for several clients in USA, Canada and Sweden. He had been awarded Microsoft Research grant in 2017, NVIDIA Research Grant in 2019, as well as over 10 prices at various international data mining and programming competitions from 2003 till 2017.