Prof. Dr. Diana Hristova

Seit 2020: Professorin für Wirtschaftsinformatik, insbesondere Technologien der Digitalisierung, HWR Berlin 

2015-2020: Quantitative Senior Analyst für Kreditrisikobewertung bei der Deutschen Bank AG

2015: Promotion zum Dr. rer. pol. (summa cum laude) zum Thema “Quantitative approaches for modeling information quality in information systems”

2013-2014: Forschungsaufenthalt an der City University of Hong Kong

2012-2015: Wissenschaftliche Mitarbeiterin am Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich), Universität Regensburg

2010-2012: Mitarbeiterin für die quantitative Bewertung operationeller Risiken bei der Commerzbank AG

2008-2011: Master of Finance Studium an der Albert-Ludwigs-Universität Freiburg

2005-2008: Bachelorstudium der Mathematik an der Technischen Universität Darmstadt

Quantitative und statistische Methoden (inkl. Optimierung)

Data Analytics

Risikomanagement bei Banken

Text Mining

Interpretierbarkeit von Text Mining Methoden

Objektorientierte Programmierung

Text, Web and Social Media Analytics

IT-Applications in Accounting

Risikobewertung bei Banken

Datenqualität

Text Mining

Glodd, A., Hristova, D. (2023): Extraction of Forward-looking Financial Information for Stock Price Prediction from Annual Reports Using NLP Techniques, 56th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 3-6 January, 2023.

Torres, A.P., Hristova, D. (2021): GeSaRa: A Global Surrogate Model for Text Classification using a Random Forest Classifier, Working Paper, HWR Berlin.

Hsieh, H.-T., Hristova, D. (2021): Transformer-based Summarization and Sentiment Analysis of SEC 10-K Annual Reports for Company Performance Prediction, 55th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 4-7 Januar, 2022.

Hristova, D., Khan, S. K. (2021): SumExp: A Summarization-Based Approach for Explaining NLP Models, 41th International Conference on Information Systems (ICIS), Austin, USA, 12-15 Dezember, 2021.

Heinrich, B., Hristova, D., Klier, M., Schiller, A., Szubartowicz, M. (2018): Requirements for Data Quality Metrics, Journal of Data and Information Quality (JDIQ), 9(2), 12. 

Hristova, D., Probst, P., Eckrich, E. (2017): RatingBot: A Text Mining Based Rating Approach, 38th International Conference on Information Systems (ICIS), Seoul, South Korea, 10-13 Dezember, 2017.

Heinrich, B. und Hristova, D. (2016): A Quantitative Approach for Modeling the Influence of Currency of Information on Decision Making under Uncertainty, Journal of Decision Systems, 25(1), 16-41.

Hristova, D., Ma, J. (2015): A community-based approach for improving the profile information quality in social networks, 23rd European Conference on Information Systems (ECIS), Münster, 26-26 Mai, 2015.

Püschel, T., Schryen, G., Hristova, D. und Neumann, D. (2015): Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty, European Journal of Operational Research, 244, 637-647.

Schryen, G. und Hristova, D. (2015): Duality in fuzzy linear programming: a survey, OR Spectrum, 37(1); 1-48.

Hristova, D. (2014): Considering Currency in Decision Trees in the Context of Big Data, 35th International Conference on Information Systems (ICIS), Auckland, New Zealand, 14-17 Dezember, 2014.

Heinrich, B. und Hristova, D. (2014): A Fuzzy Metric for Currency in the Context of Big Data, 22nd European Conference on Information Systems (ECIS), Tel Aviv, 9-11 Juni, 2014.

Püschel, T., Schryen, G., Hristova, D. und Neumann, D. (2012): Cloud Service Revenue Management, 20th European Conference on Information Systems (ECIS) 2014, Barcelona, 10-13 Juni, 2012.