Pristupačnost
Mobile Application for Gym Training Tracking
Analysis of Data Availability from Social Networking Systems
Utilization of Open Data in Croatia for the Development of Innovative Applications
Web Application for Inventory Management
Web Application for Accommodation Recommendation and Booking
Application of Machine Learning in Predicting Stock and Fund Movements
Modular system for managing a smart home
CroStats — visualization of population in Croatia
Predicting the 9-pin bowling matches results using supervised learning methods
A Multivariate Approach to the Classification of Historical Floods on the Sava River in Zagreb
The Applicability of Functional Clustering in Analyzing Historical Floods of the Sava River in Zagreb
The Challenges of NoSQL Data Warehousing
Data Set Synthesis Based on Known Correlations and Distributions for Expanded Social Graph Generation
Analysis of Facebook Interaction as Basis for Synthetic Expanded Social Graph Generation
Modelling of enriched social graph based on concept of distance
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction
Exploratory analysis of pairwise interactions in online social networks
Applying the Multiclass Classification Methods for the Classification of Online Social Network Friends
Applying the Binary Classification Methods for Discovering the Best Friends on an Online Social Network
Social network analysis - examples from practice
Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results
University Social Network Benefits Analysis and Proposed Framework
Proof of Concept for Comparison and Classification of Online Social Network Friends Based on Tie Strength Calculation Model
The potential of SEPA Credit Transfer implementation in Croatia
Programski sustav za transformaciju i slanje e- računa
Programski sustav za napredno elektroničko potpisivanje u formatu XML
Analysis and application of data models in business intelligence
Promotional Forecast Model for Fast Moving Consumer Goods Stores
Using the interaction on social networks to predict real life friendship
Analysis of selected areas in e-business
Web aplikacija za kreiranje SEPA CT naloga za plaćanje
Building Implicit Corporate Social Networks: the Case of a Multinational Company
Does Croatia need an e-invoice users registry?
Concept, Development and Implementation of FER e- Invoice System
Security of FER e-Invoice System
Educational, scientific and expert activities in the field of electronic business at the Faculty of Electrical Engineering and Computing
Scenario Modeling and Verification for Business Processes
Data Warehouse for FER e-Invoice System
Business intelligence and electronic commerce
System for exchanging e-invoices using a communication network
Volleyball Information System
Using communication network for e-invoice exchange
Biography
LUKA HUMSKI (PhD) is assistant professor at University of Zagreb, Faculty of Electrical Engineering and Computing. He graduated at Faculty of Electrical Engineering and Computing with summa cum laude (1% of the best students) and finished his PhD study also with summa cum laude. His research interest includes data analysis, data mining, machine learning and electronic business. He works as a researcher at national and European research and other projects.
Teaching
University undergraduate
- Statistical Programming Fundamentals (Lecturer in charge)
- Statistical Programming Fundamentals (Lecturer in charge, Lecturer in charge)
- Final BSc Thesis (Lecturers)
- Fundamentals of Electrical Engineering (Lecturers, Laboratory exercises)
- Fundamentals of Electrical Engineering (Lecturers)
- Project C (Lecturers)
University graduate
- Data Management (Lecturer in charge)
- E-Business Technologies (Lecturer in charge)
- Project (Lecturers)
- Seminar 1 (Lecturers)
- Laboratory of Telecommunication and Informatics 2 (Laboratory exercises)
Postgraduate doctoral study programme
- Electronic Business (Lecturer in charge)
Postgraduate spec. study
- E-business security (Lecturer in charge)
Competences
-
Computational and artificial intelligence
Machine learning -
Computers and information processing
Big Data applications Knowledge management Data handling Data processing Data analysis Data warehouses Web 2.0 Data mining -
Mathematics
Machine learning algorithms Prediction algorithms -
Professional communication
Relational databases Data processing -
Systems, man, and cybernetics
Data visualization -
Communications technology
Web 2.0