Research areas
Energy Informatics
- Multi-agent recommendation systems for energy efficiency and reduction of CO2 emissions in private households
- Federated Learning applications
- Explainable AI applications
Data-Centric AI
- Data quality evaluation
- Cross-domain data quality metrics
- Active Learning
Research Management & Performance Evaluation
- Research collaboration networks
- Research performance evaluation
- Visualization techniques for decision-making support
Teaching
B.Sc.
- Strategie, Organisation und Information Technology (Lecture & Exercise, ca. 400 students); SoSe23
- Introduction to Programming in Java (Lecture & Exercise, ca. 200 students); SoSe23, SoSe21, SoSe20, SoSe18 (Exercises available in YouTube, Link)
- Seminar Wirtschaftsinformatik (24 students); SoSe20, SoSe18
- Statistics II (Exercise, 20 students); WiSe16-17
- Management Simulation (Simulation Game, 35 students), International Summer School in Economics and Management (ISSEM) of the HU Berlin in Havana, Cuba; SoSe19, SoSe17, SoSe16, SoSe15
M.Sc.
- Seminar Information Systems, Implementation project (24 students); WiSe23-24, WiSe22-23, WiSe20-21
- Tackling Climate Change with Machine Learning (Lecture), International Summer School in Economics and Management (ISSEM) of the HU Berlin in Havana, Cuba; SoSe23
- Business Analytics and Data Science (Exercise, ca. 150 students/ 90 exams); WiSe20-21
- Seminar IT Security and Privacy (40 students); SoSe23
- Seminar Applied Predictive Analytics (24 students); SoSe21
Ph.D.
- Research Seminar Information Systems (Ph.D. & selected MSc theses); WiSe23-24, WiSe22-23, SoSe21, WiSe20-21, SoSe20
Third-party funding and Grants
- Add-on Fellowship of the Joachim Herz Stiftung in Interdisciplinary Economics and Interdisciplinary Business Administration , “Feldstudie: Nudging von energieeffizientem Verhalten in privaten Haushalten durch Anwendung erklärbarer Multi-Agenten-Empfehlungssysteme”, (15500 €), 2023 – 2025
- Individual International Connections Grant for a research stay at the Australian National University (ANU), "Nudging Energy-Efficient Behavior in Private Households through the Recommendation Systems", by the DFG through the Strategic Partnerships Program of the Excellence (6000 €), 2023
- Individual Grant for a research stay at the Universidad de La Habana, Kuba (UH), "Sustainable Economic Development and Recommendations Systems supporting Energy-Efficiency in Private Households", by the DAAD through the Berlin Center for Global Engagement (BCGE) (4400 €), 2023
- Co-PI at the project “AI for Energy Finance” financed by the European Union through the Romania's National Recovery and Resilience Plan (ca. 1.4 Mio. € in total), 2023 - 2026
- Co-PI at the project “AI Marketer” financed by the Investitionsbank Berlin (IBB), Program for promoting Research, Innovations and Technologies (ProFIT), (296530 € in total), 2021 - 2023
- Co-PI at the HU Berlin - National University Singapore (NUS) Joint Research Project in “Augmented Intelligence in Digital Society”, by the DFG through the Strategic Partnerships Program of the Excellence (16500 € in total), 2018 - 2020
- Individual grant of Erasmus Mundus BMU-MID for 6 months exchange mobility at the Humboldt-Universität zu Berlin (9000 €), 2013 - 2014
Service
Refereeing activities
- NeurIPS (Neural Information Processing Systems) within Tackling Climate Change with Machine Learning Workshop, 2023, Reviewer & Meta-Reviewer
- ICLR (International Conference on Learning Representations) within Tackling Climate Change with Machine Learning Workshop, 2023, Reviewer
- International Journal of Forecasting, Reviewer
Further Engagements
- Expert in the Deutsche Klima-Konsortium e.V. (DKK), since 2020
- Volunteer support for Ukrainian refuge researchers in Berlin, since 2022
- Advisor to several Berlin-based StartUps, since 2021
Selected conferences
- ICLR 2023 Tackling Climate Change with Machine Learning Workshop: Activity-Based Recommendations for the Reduction of CO2 Emissions in Private Households
- NeurIPS 2022 Tackling Climate Change with Machine Learning Workshop: Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
- NUS Workshop on Research Metrics (2019), National University Singapore, Singapore (SG), Is Scientific Performance a Function of Funds?
- Singapore Economic Review Conference 2019 (SERC), Singapore (SG): Emergence of Trends in Economics
- International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong (CN): A multivariate dynamic analysis of third-party funds
Selected publications
Papers in peer-reviewed journals
- Zharova A, Härdle WK, and Lessmann S (2023) Data-driven support for policy and decision-making in university research management: A case study from Germany. European Journal of Operational Research. In Press. https://doi.org/10.1016/j.ejor.2022.10.016 Quantlets in GitHub
- Zharova A, Tellinger-Rice J and Härdle WK (2018). How to measure the performance of a Collaborative Research Center. Scientometrics. 117(2), pp 1023–1040. https://doi.org/10.1007/s11192-018-2910-8 Quantlets in GitHub
Papers currently in a peer-review process
- Zharova A, Boer A, Knoblauch J, Schewina KI and Vihs J (2023). Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes. Environmental Data Science. Revise & Resubmit
Working Papers / Preprints
- Zharova A and Lee HE (2022) Understanding User Perception and Intention to Use Smart Home for Energy Efficiency: A Survey. arXiv Preprint. Code in GitHub. https://doi.org/10.48550/arXiv.2212.05019
- Zharova A and Löschmann L (2022) Activity-Based Recommendations for Demand Response in Smart Sustainable Buildings. arXiv Preprint. Code in GitHub. https://doi.org/10.48550/arXiv.2212.05173 [presented at ICLR 2023 Tackling Climate Change with Machine Learning Workshop]
- Zharova A and Scherz A (2022) Multistep Multiappliance Load Prediction. arXiv Preprint. https://doi.org/10.48550/arXiv.2212.09426
- Zharova A, Boer A, Knoblauch J, Schewina KI and Vihs J (2022). Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes. arXiv Preprint. Code in GitHub. https://doi.org/10.48550/arXiv.2210.11218 [presented at NeurIPS 2022 Tackling Climate Change with Machine Learning Workshop]
- Riabchuk V, Hagel L, Germaine F, and Zharova A (2022). Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings. arXiv Preprint. Code in GitHub. https://doi.org/10.48550/arXiv.2205.02704
- Zharova A, Mihoci A and Härdle WK (2016). Academic ranking scales in economics: prediction and imputation, SFB 649 Discussion paper, (020)2016. Quantlets in GitHub
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