Biografija - Kašćelan Ljiljana

Prof. dr Ljiljana Kašćelan- Biografija sa bibliografijom

1. Biografija

Rođena je 30.08.1968. godine u Beranama gdje je završila osnovnu školu i gimnaziju sa odličnim uspjehom i diplomom “Luča”. Studije na Prirodno-matematičkom fakultetu Univerziteta Crne Gore (odsjek Matematika- smjer Računari) započela je 1987. godine a diplomirala 1992. godine. Poslijediplomske studije na Elektrotehničkom fakultetu Univerziteta Crne Gore (smjer Računarstvo), upisala je 1992. godine. Magistarski rad pod nazivom: “Automatsko generisanje operacija nad složenim objektima” odbranila je 1996. godine na tom fakultetu. Doktorsku disertaciju pod nazivom “Model sistema za podršku odlučivanju u sanacionom menadžmentu zasnovan na data warehouse konceptu” odbranila je 2002. godine, na Ekonomskom fakultetu Univerziteta Crne Gore.

Za saradnika u nastavi na predmetu Informatika, na Ekonomskom fakultetu Univerziteta Crne Gore primljena  je 1993. godine. U zvanje asistent za predmete Informatika i Baze podataka na ovom fakultetu izabrana je 1997. godine. U zvanje docent izabrana je 2003. godine  a u zvanje vanredni profesor 2008. godine. Od kraja 2014. godine radi kao redovni profesor na predmetima Informatika, Baze podataka, Poslovna informatika i Sistemi poslovne inteligencije.

Tokom bavljenja pedagoškim radom na fakultetu, pored angažovanja u nastavnoj aktivnosti, bila je angažovana kao mentor za izradu značajnog broja magistarskih i diplomskih radova. Mentor je za dvije doktorske disertacije.

Član je međunarodnog naučnog  udruženja Euro Working Group on Decision Support Systems,  kao i Upravnog i Uređivačkog odbora međunarodnih časopisa ComSis i Journal of Theoretical and Applied Electronic Commerce Research  koji se nalaze na SCIe. Bila je član Senata, Komisije za kvalitet i Odbora za monitoring magistarskih radova na Univerzitetu Crne Gore od 2015 do 2019 godine.

Dobitnik je nagrade UCG za doprinos naučnom istraživanju i radu za 2022 godinu.

    2. Bibliografija 

Članci u indeksiranim međunarodnim časopisima (SCIe, SSCI):

• Đukanović, M., Kašćelan, L., Vuković, S., Martinović, I., & Ćalasan, M. (2023). A machine learning approach for time series forecasting with application to debt risk of the Montenegrin electricity industry. Energy Reports, 9, 362-369.
• Rogić, S., Kašćelan, L., Kašćelan, V. et al. (2022). Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution. Inf Technol Manag. https://doi.org/10.1007/s10799-021-00353-5
• Rogić, S., Kašćelan, L., & Pejić Bach, M. (2022). Customer Response Model in Direct Marketing: Solving the Problem of Unbalanced Dataset with a Balanced Support Vector Machine. Journal of Theoretical and Applied Electronic Commerce Research, 17(3), 1003-1018.
• Sindik, D. V., Kašćelan, V., & Kašćelan, L. (2022). Simulation of disequilibrium and chaos in aggregates of disposable income, wealth, and consumption in EU macroeconomics using nonlinear dynamic analysis. Simulation, 00375497221130100.
• Buric, M., Novovic Buric, M., Jaksic Stojanovic, A., Kascelan, L., & Zugić, D. (2022). Sustainability of Online Teaching: The Case Study Mother Tongue Spelling Course at Montenegrin Universities. Sustainability, 14(21), 13717.
• Novovic Buric, M., Jaksic Stojanovic, A., Lalevic Filipovic, A., & Kascelan, L. (2022). Research of Attitudes toward Implementation of Green Accounting in Tourism Industry in Montenegro-Practices, and Challenges. Sustainability, 14(3), 1725.
• Vojinovic, T., Kascelan, L., Potpara, Z., Radonjic, N., & Kascelan, Z. (2022). Improving Structure Based Models For Predicting Chemical Functions And Weight Fractions In Cosmetic Products Using Ensemble Support Vector Machine. Farmacia, Vol. 70, 2
• Rogić, S., & Kašćelan, L. (2021). Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning. Computer Science and Information Systems, 18(3), 893-925.
• Novovic Buric, M., Kascelan, L., & Kascelan, V. (2021). Economic and demographic determinants of premium reserve in Western Balkan countries during and after the crisis. International Journal of Finance & Economics. https://doi.org/10.1002/ijfe.2466
• Kašćelan, L., Pejić Bach, M., Rondović, B., & Đuričković, T. (2020). The interaction between social media, knowledge management and service quality: A decision tree analysis. PloS One, 15(8), e0236735.
• Kovacevic, D., & Kascelan, L. (2020). Internet Usage Patterns and Gender Differences: A Deep Learning Approach. IEEE Consumer Electronics Magazine 9(6).
• Djurisic, V., Kascelan, L., Rogic, S., & Melovic, B. (2020). Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method. Applied Artificial Intelligence 34(12).
• Lipovina-Božović, M., Kašćelan, L., & Kašćelan, V. (2019). A Support Vector Machine approach for predicting progress toward environmental sustainability from information and communication technology and human development. Environmental and Ecological Statistics, 26(3), 259-286.
• Rondović, B., Djuričković, T., & Kašćelan, L. (2019). Drivers of E-Business Diffusion in Tourism: A Decision Tree Approach. Journal of Theoretical and Applied Electronic Commerce Research, Vol. 14, 30-50.
• Rondović, B., Kašćelan, L., Lazović, V., & Đuričković, T. (2019). Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro. Information Technology for Development, 25(2), 304-333.
• Jovanović M., Kašćelan L, Joksimović M., & Kašćelan, V. (2017). „Decision Tree Analysis of Wine Consumers’ Preferences: Evidence from an Emerging Market“, British Food Journal, 119(6), ISSN 0007-070X.
• Kašćelan, V., Kašćelan, L., & Novović Burić, M. (2016). A nonparametric data mining approach for risk prediction in car insurance: a case study from the Montenegrin market. Economic Research-Ekonomska Istraživanja, 29(1), 545-558.
• Kašćelan, L., Kašćelan, V., & Jovanović, M. (2015). Hybrid support vector machine rule extraction method for discovering the preferences of stock market investors: Evidence from Montenegro. Intelligent Automation & Soft Computing, 21(4), 503-522.
• Jovanović, M., Kašćelan, L., Despotović, A., & Kašćelan, V. (2015). The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies. Sustainability, 7(12), 16290-16310.
• Kašćelan, L., Kašćelan, V., & Jovanović, M. (2014). Analysis of investors’ preferences in the Montenegro stock market using data mining techniques. Economic Research-Ekonomska Istraživanja, 27(1), 463-482.

Knjige:

1. Kašćelan Lj., »Informacione tehnologije za podršku poslovnom odlučivanju«, Univerzitet Crne Gore, 2016

Poglavlja u monografijama:

• Rogić, S., Kašćelan, L. (2023). Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviour in Predictive Response Modeling. In Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 675. Springer, Cham. https://doi.org/10.1007/978-3-031-34111-3_31
• Rogić, S., & Kašćelan, L. (2022). Customer Response Modeling Using Ensemble of Balanced Classifiers: Significance of Web Metrics. In Intelligent Computing (pp. 433-448). Springer, Cham.
• Rogić, S., Kašćelan, L., & Đurišić, V. (2022). Estimating Customers’ Profitability: Influence of RFM Attributes, Web Metrics and Product Data. In Marketing and Smart Technologies (pp. 293-304). Springer, Singapore.
• Kašćelan, L., Filipović, A. L., Burić, M. N., & Kašćelan, V. (2020). IT technology application to accounting in Montenegrin companies–decision tree classification method. Smart Governments, Regions and Cities, 105. University of Rijeka, Faculty of Economics and Business
• Rogic S., Kascelan Lj. (2019). Customer Value Prediction in Direct Marketing Using Hybrid Support Vector Machine Rule Extraction Method. In: Welzer T. et al. (eds) New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham
• Novović Burić M., Lipovina Božović M., Kašćelan V., Kašćelan Lj. (2019) Chapter 16: Application Of Computer Methods In Evaluation Of Citizens’ Confidence In Montenegrin Insurance Companies, Contemporary Trends in Insurance at the Beginning of the Fourth Industrial Revolutionndustrial Revolution, Faculty of Economics of the University of Belgrade, p.265- 284
• Kašćelan Lj., V.Kašćelan, M. Novović Burić (2018), A Decision Tree Analysis of Real Estate Insurance Customers in the Montenegrin Market, Quantitative models in Economics, Faculty of Economics of the University of Belgrade
• Kašćelan, Lj., Kašćelan, V., Novović Burić, M. (2017): Data-driven Approach as an Alternative Method for Risk Assessment in the Montenegrin Automobile Insurance Market, Challenges and tendencies in contemporary insurance market, Faculty of Economics of the University of Belgrade
• »Achieved Results and Prospects of Insurance Market Development in Modern World«, Chapter 19 ( Stankić, Lj. Kašćelan, V. Milićević, »New information and communication technologies in insurance«), Faculty of Economics of the University of Belgrade, 2012., ISBN: 978-86-403-1222-6, 2012.

Članci u ostalim indeksiranim međunarodnim časopisima:

• Buric, M. N., Raicevic, M., Kascelan, L., & Kascelan, V. (2022). Socio-Demographic Impacts on the Personal Savings Portfolio Choice: A Decision Tree Approach. International Journal of Business Analytics (IJBAN), 9(1), 1-23.
• Rogić, S., & Kašćelan, L. (2021). Segmentation Approach for Athleisure and Performance Sport Retailers Based on Data Mining Techniques. International Journal of E-Services and Mobile Applications (IJESMA), 13(3), 71-85.
• Tomašević, J., Novović-Burić, M., Kašćelan, L., & Kašćelan, V. (2021). Impact of premium reserve on life insurance investments in the Western Balkans. Serbian Journal of Management, 16(2), 355-376.
• Kašćelan Lj., Kašćelan V., Novović M., »A data mining approach for risk assessment in car insurance: evidence from Montenegro«, International Journal of Business Intelligence Research (IJBIR), IGI Global, 2014, Volume 5, Issue 3, ISSN: 1947-3591
• Kašćelan, Lj., & Kašćelan, V. (2015). Component-Based Decision Trees: Empirical Testing on Data Sets of Account Holders in the Montenegrin Capital Market. International Journal of Operations Research and Information Systems (IJORIS), 6(4), 1-18.
• Jovanovic, M., Joksimovic, M., Kascelan, L., & Despotovic, A. (2017). Consumer attitudes to organic foods: evidence from montenegrin market. Poljoprivreda i Sumarstvo, 63(1), 223
• Jovanović, M., Kašćelan, L., Joksimović, M., & Despotović, A. (2015). Comparative analysis of agro-food trade in Montenegro and EU candidate countries. Economics of Agriculture, 62(1), 155-162.
• Kašćelan, L., Lazović, V., Đuričković, T., & Biljana, R. (2018). Analysis of the Diffusion of E-services in Public Sector Using the Decision Tree Method. In Proceedings of the ENTRENOVA-ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018 (pp. 38-48). Zagreb: IRENET-Society for Advancing Innovation and Research in Economy. EU
• Gazdić T., Kašćelan Lj. »Model of the Business Intelligence System for Credit Risk Analysis«, IEEE Proceedings of 36th International Convention MIPRO 2013 ( IEEE Xplore), 1155-1169, ISBN: 978-953-233-076-2, ISSN 1847-3938
• Mirković J., Kašćelan Lj., »Data mart design for managing IT department in a telecommunications company«, IEEE Proceedings of 35th International Convention MIPRO 2012 (IEEE Xplore),  1635-1641, ISBN: 978-1-4673-2577-6, ISSN 1847-3938
• Kašćelan Lj. »Limitations in Implementing Data Mining in Montenegro«, Proceedings of the EWG-DSS London -2011 Workshop on Decision Systems, IRIT, Université Paul Sabatier, Report IRIT/RR--2011-14-FR;
• Kašćelan Lj., Tadić N. , »OLAP Decission Support System for Insurance Sales Data Analysis«, Supervision and control of insurance companies operations, Conference Proceedings, 2011, Faculty of Economics of the University of Belgrade, pg 144-166, ISBN 978-86-403-1141-0

Indeksirani Conference Proceedings

• Kašćelan, L., Lazović, V., Đuričković, T., & Biljana, R. (2018). Analysis of the Diffusion of E-services in Public Sector Using the Decision Tree Method. In Proceedings of the ENTRENOVA-ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018(pp. 38-48). Zagreb: IRENET-Society for Advancing Innovation and Research in Economy. ECONSTOR.EU
• Gazdić, T., & Kašćelan, L. (2013, May). Model of the business intelligence system for credit risk analysis. In Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on(pp. 1155-1160). IEEE.