Ilir Kola Email & Phone Number

Amsterdam Area

- Researched and identified AI opportunities in business domains, translating academic innovations into practical applications;- Developed predictive models for key business insights, including an advanced employee turnover prediction model, applying rigorous analytical techniques to improve decision-making;- Designed and implemented time series models for.

Delft Area, Netherlands

• Thesis topic: Enabling Social Situation Awareness in Support Agents;
• PhD candidate supervised by Dr. M. Birna van Riemsdijk and Prof. Catholijn M. Jonker, funded by NWO;
• Combined knowledge representation techniques with data driven machine learning models for human-centered AI;
• Proposed a formal definition for Social Situation Awareness in Support Agents, as well as requirements needed for achieving social situation awareness;
• Designed a conceptual architecture for implementing social situation awareness in support agents;
• Formalized concepts from social psychology research to model different aspects social situations;

• Research assistant for Prof. Marco Ragni, focusing on research in modelling how humans reason in tasks such as the Wason selection task and syllogistic reasoning;
• Implemented program that applies three-valued logic to the Wason selection task which led to insights why people make certain errors when solving the task;
• Led data collection and organization for meta-analysis, which involved more than 200 scientific articles;
• Implemented recommender system to predict answers of participants in the Wason selection task and syllogistic reasoning;
• Designed and implemented experiment to gather data from participants in crowd sourcing study;
• Co-authored academic article published in Psychological Bulletin, ranked 63rd out of 32’958 journals by the Scientific Journal Rankings.

• Assisted the course in Machine Learning offered in the Computer Science master’s program;
• Provided support to over 100 students in the exercise classes of the course in topics varying from support vector machines, ensemble techniques, principal component analysis, neural networks.

Berlin Area, Germany

• Explored the role of simple heuristics for decision making in the financial domain;
• Applied concepts of bounded rationality such as satisficing to find predictive features for identifying non-performing loans.

Doctor Of Philosophy - Phd, Artificial Intelligence

Thesis topic: Enabling Social Situation Awareness in Support Agents Supervisors: Prof. Catholijn Jonker & Dr. Birna van Riemsdijk

Master Of Science - Ms, Artificial Intelligence, 1.5 (Very Good)

• Dissertation: "Collaborative Filtering as a Method to Predict Individual Responses in Reasoning Tasks”, then published as a conference.

Bachelor'S Degree, Computer Engineering

• Dissertation: "A web platform with data insights to support high school seniors choose a study programme”. • Key courses: Software.