Dr. Kirsh Ilan
Fields of Research
Dr. Kirsh Ilan
School of Computer Science
  • Web engineering

  • Web mining

  • Web analytics

  • E-learning

  • Educational data mining

  • Human-computer interaction.

Short Bio

Ilan Kirsh is a faculty member of the School of Computer Science since 1997 and the coordinator of the B.Sc. final projects in the School of Computer Science since 2005. Ilan has supervised 15 M.Sc. students and approximately 1,000 B.Sc. students in their final degree projects.

Ilan received his B.A in Mathematics and Computer Science from the Open University of Israel, his M.Sc. in Computer Science from Tel-Aviv University, Tel-Aviv, Israel, and his Ph.D. in Computer Science from Bar Ilan University, Ramat Gan, Israel.

Ilan is the creator and the principal developer of ObjectDB, an ODBMS software that has been used by thousands of users worldwide and in many of the world’s top universities and research institutions for research and teaching, including in (partial list): Vrije Universiteit Brussel, Belgium ● McMaster University, Ontario, Canada ● Zhejiang University of Technology, China ● University of Southern Denmark, Denmark ● The European Space Agency, France ● Technische Universität Darmstadt, Germany ● Polytechnic University of Milan, Italy ● Utrecht University, Netherlands ● Complutense University Madrid, Spain ● Oxford University, UK ● University of Warwick, UK ● Texas A&M University, Texas, USA ● University of Washington, Seattle, USA ● The City University of New York, USA ● Los Alamos National Laboratory, New Mexico, USA.

Selected Publications

  1. I. Kirsh and M. Joy (2020), A Different Web Analytics Perspective Through Copy to Clipboard Heatmaps, 20th International Conference on Web Engineering (ICWE), LNCS 12128, Springer, 543-546.

  2. I. Kirsh and M. Joy (2020), Splitting the Web Analytics Atom: From Page Metrics and KPIs to Sub-Page Metrics and KPIs, 10th International Conference on Web Intelligence, Mining and Semantics (WIMS), ACM, 33-43.

  3. I. Kirsh (2020), Directions and Speeds of Mouse Movements on a Website and Reading Patterns: A Web Usage Mining Case Study, 10th International Conference on Web Intelligence, Mining and Semantics (WIMS), ACM, 129-138.

  4. I. Kirsh and M. Joy (2020), An HCI Approach to Extractive Text Summarization: Selecting Key Sentences Based on User Copy Operations, 22nd HCI International Conference (HCII), CCIS, Springer.

  5. I. Kirsh, M. Joy and Y. Kirsh (2020), Horizontal Mouse Movements (HMMs) on Web Pages as Indicators of User Interest, 22nd HCI International Conference (HCII), CCIS, Springer.

  6. I. Kirsh and M. Joy (2020), Exploring Pointer Assisted Reading (PAR): Using Mouse Movements to Analyze Web Users’ Reading Behaviors and Patterns, 22nd HCI International Conference (HCII), LNCS, Springer.

  7. I. Kirsh (2020), Using Mouse Movement Heatmaps to Visualize User Attention to Words, 11th Nordic Conference on Human-Computer Interaction (NordiCHI), accepted, ACM.

  8. I. Kirsh (2020), Automatic Complex Word Identification Using Implicit Feedback From User Copy Operations, 21st International Conference on Web Information Systems Engineering (WISE), accepted, LNCS, Springer.

  9. I. Kirsh (2020), What Web Users Copy on a Website: A Case Study, 16th International Conference on Web Information Systems and Technologies (WEBIST), accepted, SciTePress.