Hristijan Gjoreski Email and Phone Number
Hristijan Gjoreski work email
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Hristijan Gjoreski personal email
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Professor, scientist and Al researcher, focused on application of Al algorithms to build intelligent systems and applications, especially in the areas of machine learning, data science, ambient intelligence, wearable sensors, time-series analysis.Selected as top 2% scientist worldwide for 2022; Best Young Scientist in Macedonia for 2017, and award winner of several ML competitions.Author of >100 papers in human behavior and emotion Al.- Associate Professor at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje. - Chief Data Scientist at Emteq Labs, where we are building emotional Artificial Intelligence through state of the art headset system for behaviour monitoring, including facial expressions, valence, arousal, activities. - Co-founder and CEO of AIDEA Lab, which represents the Data Science division of Emteq Labs.Started the Data Science Macedonia group, which has more than 1000 members.
Ss. Cyril And Methodius University In Skopje / Универзитет „Св. Кирил И Методиј“
View- Website:
- pf.ukim.edu.mk
- Employees:
- 38
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Associate ProfessorSs. Cyril And Methodius University In Skopje / Универзитет „Св. Кирил И Методиј“Skopje, Sk, Mk
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Associate ProfessorSs. Cyril And Methodius University In Skopje / Универзитет „Св. Кирил И Методиј“ Во Скопје Sep 2022 - PresentSkopje, Macedonia -
Assistant ProfessorSs. Cyril And Methodius University In Skopje / Универзитет „Св. Кирил И Методиј“ Во Скопје Dec 2017 - Sep 2022Skopje, Macedonia
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Cto And Chief Ai ScientistEmteq Labs Jun 2024 - Present -
Chief Data ScientistEmteq Labs Dec 2020 - Jun 2024Brighton, England, United Kingdom
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Co-FounderAidea Lab Oct 2020 - PresentNorth Macedonia -
Postdoctoral Research FellowUniversity Of Sussex Dec 2016 - Dec 2017Brighton, United KingdomDeveloping algorithms to analyze sensor data in order to recognize the current context and the activity of the user. The sensors mostly include: wearable accelerometers, smartphones, smartwatches, wristbands, etc. My current project is open-ended Activity Recognition, i.e., recognizing the activities dynamically in real-time. This includes combination of supervised and unsupervised Machine Learning algorithms, especially, classification and online clustering. Deep Learning algorithms are… Show more Developing algorithms to analyze sensor data in order to recognize the current context and the activity of the user. The sensors mostly include: wearable accelerometers, smartphones, smartwatches, wristbands, etc. My current project is open-ended Activity Recognition, i.e., recognizing the activities dynamically in real-time. This includes combination of supervised and unsupervised Machine Learning algorithms, especially, classification and online clustering. Deep Learning algorithms are also used for learning relevant feature representations. Show less -
Postdoctoral ResearcherJozef Stefan Institute Apr 2015 - Dec 2016Ljubljana, SloveniaDeveloping algorithms to analyze sensor data in order to extract useful information about the user. The information includes: daily activities, fall detection, calorie expenditure, stress detection, etc.The sensors mostly include: wearable accelerometers, smartphones, smartwatches, wristbands, etc.This includes combination of supervised and unsupervised Machine Learning algorithms, especially, classification and clustering. Deep Learning algorithms are also used for learning relevant… Show more Developing algorithms to analyze sensor data in order to extract useful information about the user. The information includes: daily activities, fall detection, calorie expenditure, stress detection, etc.The sensors mostly include: wearable accelerometers, smartphones, smartwatches, wristbands, etc.This includes combination of supervised and unsupervised Machine Learning algorithms, especially, classification and clustering. Deep Learning algorithms are also used for learning relevant feature representations. Show less -
Phd Candidate, ResearcherJozef Stefan Institute Oct 2010 - Sep 2015Ljubljana, SloveniaIntelligent Systems, Artificial Intelligence, Ambient Intelligence
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Demonstrator - Laboratory ExercisesFaculty Of Electrical Engineering And Information Technologies, Skopje Oct 2009 - Jan 2010Teaching students the basics of Structural Programming, in particular C and C++.
Hristijan Gjoreski Skills
Hristijan Gjoreski Education Details
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Gpa: 9.98 (Out Of 10) -
Gpa: 10 (Out Of 10)
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Informatics And Computer Engineering
Frequently Asked Questions about Hristijan Gjoreski
What company does Hristijan Gjoreski work for?
Hristijan Gjoreski works for Ss. Cyril And Methodius University In Skopje / Универзитет „св. Кирил И Методиј“
What is Hristijan Gjoreski's role at the current company?
Hristijan Gjoreski's current role is Associate Professor.
What is Hristijan Gjoreski's email address?
Hristijan Gjoreski's email address is hr****@****hoo.com
What schools did Hristijan Gjoreski attend?
Hristijan Gjoreski attended Jožef Stefan International Postgraduate School, Jožef Stefan International Postgraduate School, Univerzitet 'sv. Kiril I Metódij' Vo Skopje.
What are some of Hristijan Gjoreski's interests?
Hristijan Gjoreski has interest in Science And Technology, Education, Health.
What skills is Hristijan Gjoreski known for?
Hristijan Gjoreski has skills like Artificial Intelligence, Machine Learning, Computer Science, Data Mining, Java, Eclipse, Intelligent Systems, Text Mining, Sensors, Information Retrieval, Xml, Pattern Recognition.
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