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Ilya Verenich

https://etis.ee/CV/Ilya_Verenich/est
ilyav@ut.ee

Teenistuskäik

Töökohad ja ametid
01.09.2014–...   
Tartu Ülikool, Teadur (1,00)
01.10.2012–31.08.2014   
STACC OÜ, Teadur (0,80)
 
 
Haridustee
2012–2014   
MSc, University of Tartu Faculty of Mathematics and Computer Sciences

Kvalifikatsioon

Teaduskraadid
Ilya Verenich, doktorikraad, 2019, (juh) Marlon Dumas; Fabrizio Maria Maggi; ARTHUR TER HOFSTEDE; MARCELLO LA ROSA, Explainable Predictive Monitoring of Temporal Measures Business Processes (Äriprotsesside ajaliste näitajate selgitatav ennustav jälgimine), Tartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut.
Ilya Verenich, magistrikraad, 2014, (juh) Marlon Dumas; Riivo Kikas, Prediction of Product Adoption in Social Networks Using the Network Value of Users (Sotsiaalvõrgustikes pakutavate toodete tarvituselevõtu ennustamine kasutajate võrgustikuväärtuse abil), Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut.
 
 
Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS KLASSIFIKAATOR: P170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria); TÄPSUSTUS: Äriprotsesside käitusaegne ennustav analüütika

Publikatsioonid

Klass
Aasta
Publikatsioon
 
1.1.
2019
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Nguyen, Hoang (2019). Predicting process performance: A white-box approach based on process models. Journal of Software Evolution and Process, 31 (6), ARTN e2170. DOI: 10.1002/smr.2170.
1.1.
2019
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Teinemaa, Irene (2019). Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Transactions on Intelligent Systems and Technology, 10 (4), ARTN 34.10.1145/3331449.
3.1.
2018
Verenich, Ilya; Mõškovski, Stanislav; Raboczi, Simon; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio (2018). Predictive Process Monitoring in Apromore. 317: International Conference on Advanced Information Systems Engineering, CAiSE Forum, Tallinn, Estonia, 11-15 June 2018. Springer, 244−253. (Lecture Notes in Business Information Processing). DOI: 10.1007/978-3-319-92901-9_21.
3.1.
2017
Tax, Niek; Verenich, Ilya; La Rosa, Marcello; Dumas, Marlon (2017). Predictive Business Process Monitoring with LSTM Neural Networks. 29th International Conference on Advanced Information Systems Engineering. Springer, 477−492. (Lecture Notes in Computer Science; 10253). DOI: 10.1007/978-3-319-59536-8_30.
3.1.
2017
Verenich, Ilya; Nguyen, Hoang; La Rosa, Marcello; Dumas, Marlon (2017). White-box prediction of process performance indicators via flow analysis. International Conference on Software and System Process (ICSSP), Paris, France, July 5-7, 2017. ACM, 85−94.10.1145/3084100.3084110.
3.4.
2017
Jorbina, Kerwin; Rozumnyi, Andrii; Verenich, Ilya; Di Francescomarino, Chiara; Dumas, Marlon; Ghidini, Chiara; Maggi, Fabrizio Maria; La Rosa, Marcello; Raboczi, Simon (2017). Nirdizati: A web-based tool for predictive process monitoring. Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017., 1920.
3.1.
2016
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Di Francescomarino, Chiara (2016). Minimizing overprocessing waste in business processes via predictive activity ordering. 186−202.http://.
3.4.
2016
Verenich, Ilya (2016). A General Framework for Predictive Business Process Monitoring. CEUR Workshop Proceedings, 1603, 1−9.
3.1.
2015
Verenich, Ilya; Kikas, Riivo; Dumas, Marlon; Melnikov, Dmitri (2015). Combining Propensity and Influence Models for Product Adoption Prediction. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM, Paris, France. _EditorsAbbr Jian Pei, Fabrizio Silvestri, Jie Tang:. ACM, 49−56.
3.1.
2015
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Di Francescomarino, Chiara (2015). Complex symbolic sequence clustering and multiple classifiers for predictive process monitoring.
24.11.2020

Ilya Verenich

https://etis.ee/CV/Ilya_Verenich/eng
ilyav@ut.ee

Career

Institutions and positions
01.09.2014–...   
University of Tartu, Researcher (1,00)
01.10.2012–31.08.2014   
STACC , Researcher (0,80)
 
 
Education
2012–2014   
MSc, University of Tartu Faculty of Mathematics and Computer Sciences

Qualifications

Academic degrees
Ilya Verenich, Doctor's Degree, 2019, (sup) Marlon Dumas; Fabrizio Maria Maggi; ARTHUR TER HOFSTEDE; MARCELLO LA ROSA, Explainable Predictive Monitoring of Temporal Measures Business Processes, University of Tartu, Faculty of Science and Technology, Institute of Computer Science.
Ilya Verenich, Master's Degree, 2014, (sup) Marlon Dumas; Riivo Kikas, Prediction of Product Adoption in Social Networks Using the Network Value of Users, University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science.
 
 
Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS CLASSIFICATION: P170 Computer science, numerical analysis, systems, control ; SPECIFICATION: Predictive Monitoring of Business Processes

Publications

Category
Year
Publication
 
1.1.
2019
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Nguyen, Hoang (2019). Predicting process performance: A white-box approach based on process models. Journal of Software Evolution and Process, 31 (6), ARTN e2170. DOI: 10.1002/smr.2170.
1.1.
2019
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Teinemaa, Irene (2019). Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Transactions on Intelligent Systems and Technology, 10 (4), ARTN 34.10.1145/3331449.
3.1.
2018
Verenich, Ilya; Mõškovski, Stanislav; Raboczi, Simon; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio (2018). Predictive Process Monitoring in Apromore. 317: International Conference on Advanced Information Systems Engineering, CAiSE Forum, Tallinn, Estonia, 11-15 June 2018. Springer, 244−253. (Lecture Notes in Business Information Processing). DOI: 10.1007/978-3-319-92901-9_21.
3.1.
2017
Tax, Niek; Verenich, Ilya; La Rosa, Marcello; Dumas, Marlon (2017). Predictive Business Process Monitoring with LSTM Neural Networks. 29th International Conference on Advanced Information Systems Engineering. Springer, 477−492. (Lecture Notes in Computer Science; 10253). DOI: 10.1007/978-3-319-59536-8_30.
3.1.
2017
Verenich, Ilya; Nguyen, Hoang; La Rosa, Marcello; Dumas, Marlon (2017). White-box prediction of process performance indicators via flow analysis. International Conference on Software and System Process (ICSSP), Paris, France, July 5-7, 2017. ACM, 85−94.10.1145/3084100.3084110.
3.4.
2017
Jorbina, Kerwin; Rozumnyi, Andrii; Verenich, Ilya; Di Francescomarino, Chiara; Dumas, Marlon; Ghidini, Chiara; Maggi, Fabrizio Maria; La Rosa, Marcello; Raboczi, Simon (2017). Nirdizati: A web-based tool for predictive process monitoring. Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017., 1920.
3.1.
2016
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Di Francescomarino, Chiara (2016). Minimizing overprocessing waste in business processes via predictive activity ordering. 186−202.http://.
3.4.
2016
Verenich, Ilya (2016). A General Framework for Predictive Business Process Monitoring. CEUR Workshop Proceedings, 1603, 1−9.
3.1.
2015
Verenich, Ilya; Kikas, Riivo; Dumas, Marlon; Melnikov, Dmitri (2015). Combining Propensity and Influence Models for Product Adoption Prediction. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM, Paris, France. _EditorsAbbr Jian Pei, Fabrizio Silvestri, Jie Tang:. ACM, 49−56.
3.1.
2015
Verenich, Ilya; Dumas, Marlon; La Rosa, Marcello; Maggi, Fabrizio Maria; Di Francescomarino, Chiara (2015). Complex symbolic sequence clustering and multiple classifiers for predictive process monitoring.
24.11.2020

Otsi projekti

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Kõik   Tavaprojektid   Ülemprojektid   Alamprojektid  
Uus Frascati (2015)
Uus ja vana Frascati (otsing uue järgi väljastab ka seotud vanad)
Kõik
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Lõppenud
Algus
Hajus
Täpne
Lihtotsing Tühjenda
  • Leitud 1 kirjet
ProgrammLiikNumberNimiProjekti algusProjekti lõppVastutav täitjaAsutusFinantseerijapoolne rahastamine
IUTIUT20-55Andmepõhine tarkvaraarenduse ja äriprotsesside juhtimine01.01.201431.12.2019Marlon DumasTartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut1 173 600,00 EUR