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Hasso-Plattner-Institut
Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

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Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.

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If you are having questions regarding one of our publications, please contact the authors.

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  1. People
  2.  > PostDocs
  3.  > Dr. Rainer Schlosser

Dr. Rainer Schlosser

Senior Researcher (Group Leader "Data-driven Decision Support")

Phone:+49 (331) 5509-1309
Fax:+49 (331) 5509-579
Email: rainer.schlosser(at)hpi.de
Room: Hasso-Plattner-Villa, V-2.05
  ResearchGate, Google Scholar
  

Research

Data-Driven Decision Support & Dynamic Applications

The need for automated decision-making is steadily increasing. The goal is to derive and to implement methods for automated decision support for practical applications in changing uncertain environments. Solving problems in practical applications requires bringing together data management, data science, optimization, and risk management. Decision problems can generally be described by given performance criteria, admissible decisions, constraints, and (data-driven) estimations of the interplay of decisions on performance. However, every application has its own specifics, which should be taken into account to solve a problem effectively.

Our research group focuses on data-driven decision-making using quantitative methods of operations research and data science applied in the areas of (i) Revenue Management and (ii) Database Optimization. I am particularly interested in finding robust solutions for stochastic dynamic environments.

Keywords: (i) Optimal Control of Dynamic Systems, Risk-Sensitive Decision-Making, Dynamic Pricing Competition, Inventory Management, Data-Driven Demand Learning, Causal Inference

(ii) Optimal Resource Allocation, Robust Database Configurations, Workload-Driven Decision-Making, Data Placement, Index Selection, Workload Anticipation

Current Projects

  • Robust Database Optimization with Stochastic Workloads
  • Memory-efficient Fragment Allocation & Load Balancing
  • Dynamic Risk-aware Index Selection

Selected Talks & Presentations

  • "Risk-Averse Revenue Management using Mean-Variance and Mean-Semivariance Optimization", INFORMS Revenue Management & Pricing Conference, June 2021, Johns Hopkins Carey Business School, USA
  • "Dynamic Pricing on Online Marketplaces – Theory and Applications", 17th conference of the GOR working group „Pricing & Revenue Management", Feb 2020, Munich, Germany (Invited Talk)
  • "Dynamic Pricing Competition in E-Commerce with Data-Driven Price Anticipations", ICIAM 2019, July 2019, Valencia, Spain (Invited Talk); Grant managed within CEREMADE department of the University Paris Dauphine
  • "Risk-Sensitive Control of Markov Decision Processes in Revenue Management: A Moment-Based Approach with Target Distributions", INFORMS Revenue Management & Pricing Conference, June 2019, Stanford Graduate School of Business, CA, USA
  • "Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies" and "Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming", ICDE 2019, April 2019, Macao SAR, China
  • "Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach", KDD 2018, Aug 2018, London, UK
  • "How To Survive Dynamic Pricing Competition in E-commerce", RecSys 2016, Sep 2016, Massachusetts Institute of Technology (MIT) and the IBM Research campuses in Boston, MA, USA

  • "Dynamic Pricing with Time-Dependent Elasticities", INFORMS Revenue Management & Pricing Conference, June 2015, Columbia University, New York, USA

Education

  • Ph.D. in Operations Research (summa cum laude), Humboldt-University of Berlin, Germany (05/2014), Topic: Dynamic Pricing and Advertising Models
  • Master's degree (Dipl.-Math.) in Mathematics (very good), Humboldt-University of Berlin, Institute of Applied Mathematics, Germany (10/2010), Focus: Optimization, Stochastic Models, Numerical Analysis
  • Master's degree (Dipl.-Kfm.) in Business Administration (very good), Humboldt-University of Berlin, School of Business and Economics, Germany (02/2010), Focus: Operations Research, Econometrics, Risk Management

Grants, Awards, and Research Stays

  • Research Stay (planned 2021/22): University of Waterloo, Waterloo, Canada
  • Research Stay: KEDGE Business School, Marseille, and CESIT Center of Excellence, Bordeaux, France (Oct 2019)
  • Best Paper Award: Schlosser, R. "Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects", 8th International Conference on Operations Research and Enterprise Systems (ICORES 2019), Prague, Czech Republic
  • Best Paper Award: Schlosser, R., Richly, K. "Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information", 7th International Conference on Operations Research and Enterprise Systems (ICORES 2018), Funchal, Portugal
  • Grant: Postdoctoral Scholarship, 2014 - 2015, Humboldt Graduate School
  • Ph.D. Grant: Elsa-Neumann-Scholarship, 2011 - 2013, Berlin Senate

Teaching

At HPI:

At Humboldt University Berlin:

  • Software in Operations Research (SS14)
  • Excel Seminar (SS14)
  • Software in Operations Research (WS13/14)
  • Excel Seminar (WS13/14)
  • Teaching Assistant for Revenue Management, Operations Management (WS11/12-SS14)
  • Teaching Assistant for Operations Research I, II, III, IV (WS10/11-SS14)

Journal Reviewing

Operations Research

  • European Journal of Operational Research
  • Journal of the Operational Research Society
  • Operations Research Perspectives
  • IMA Journal of Management Mathematics
  • Operational Research
  • Optimal Control, Applications & Methods
  • RAIRO - Operations Research
  • TOP
  • OR Spectrum
  • Applied Mathematics & Computation

Management Science & Operations Management

  • International Journal of Production Economics
  • International Journal of Production Research
  • Omega
  • Journal of Revenue & Pricing Management
  • Transportation Research (Part E)
  • International Journal of Operations & Quantitative Management
  • Journal of Retailing & Consumer Services
  • Applied Stochastic Models in Business & Industry
  • Production Planning & Control
  • Management Science

Economics

  • Journal of Economic Dynamics & Control
  • Managerial & Decision Economics
  • Economics E-Journal
  • Journal of the Royal Statistical Society

Analytics

  • IEEE Transactions on Knowledge & Data Engineering
  • Engineering Applications of Artificial Intelligence
  • The Knowledge Engineering Review
  • ACM Transactions on Knowledge Discovery from Data

Information Systems & Engineering

  • Computers & Industrial Engineering
  • Expert Systems with Applications
  • Systems Science & Control Engineering
  • Journal of Systems Science & Systems Engineering
  • Science China Information Sciences
  • Complexity
  • Springer Nature Applied Sciences
  • IISE Transactions
  • IEEE Transactions on Systems, Man & Cybernetics
  • IEEE Access

Sustainability

  • Journal of Cleaner Production
  • Resources Conservation & Recycling
  • Mathematical Biosciences & Engineering
  • Maritime Policy & Management
  • Sustainable Computing: Informatics & Systems

Scientific Communities: INFORMS, GOR, ACM, IEEE

Patent Applications

  • Schlosser, R., Boissier, M., Uflacker, M., Plattner, H. (2018). Data Placement in Hybrid Data Layouts for Tiered HTAP Databases (EP18164052 accepted Nov 2020, US16/364,869)
  • Schlosser, R., Kossmann, J., Boissier, M., Uflacker, M., Plattner, H. (2019). Iterative Multi-Attribute Index Selection for Large Database Systems (EP19167157)

Publications

  • 1.
    Schlosser, R., Chenavaz, R., Dimitrov, S.: Circular Economy: Joint Dynamic Pricing and Recycling Investments. International Journal of Production Economics. 108117, 1–13 (2021).
    [ BibTeX ]
     
  • 2.
    Halfpap, S., Schlosser, R.: Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail. IEEE 37th International Conference on Data Engineering (ICDE 2021), to appear (2021).
    [ BibTeX ]
     
  • 3.
    Richly, K., Schlosser, R., Boissier, M.: Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management. IEEE 37th International Conference on Data Engineering (ICDE 2021), to appear (2021).
    [ BibTeX ]
     
  • 4.
    Schlosser, R., Halfpap, S.: Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads. 24th International Conference on Extending Database Technology (EDBT 2021). pp. 367–372 (2021).
    [ BibTeX ]
     
  • 5.
    Kaminsky, Y., Maltenberger, T., Pörschke, M., Westphal, J., Schlosser, R.: Pricing Competition in a Duopoly with Self-Adapting Strategies. 10th International Conference on Operations Research and Enterprise Systems (ICORES 2021). pp. 60–71 (2021).
    [ BibTeX ]
     
  • 6.
    Kastius, A., Schlosser, R.: Dynamic Pricing under Competition using Reinforcement Learning. Journal of Revenue and Pricing Management. 1–22 (2021).
    [ BibTeX ]
     
  • 7.
    Richly, K., Schlosser, R., Brauer, J.: Enabling Risk-averse Dispatch Processes for Transportation Network Companies by Probabilistic Location Prediction. Communications in Computer and Information Science, Springer. 1–23 (2021).
    [ BibTeX ]
     
  • 8.
    Richly, K., Schlosser, R., Brauer, J., Plattner, H.: A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry. HICSS 2021, to appear. pp. 1830–1840 (2021).
    [ BibTeX ]
     
  • 9.
    Schlosser, R.: Heuristic Mean Variance Optimization in Markov Decision Processes using State-Dependent Risk Aversion. IMA Journal of Management Mathematics. 1–19 (2021).
    [ BibTeX ]
     
  • 10.
    Schlosser, R.: Scalable Relaxation Techniques to Solve Stochastic Dynamic Multi-Product Pricing Problems with Substitution Effects. Journal of Revenue and Pricing Management 20 (1). 54–65 (2021).
    [ BibTeX ]
     
  • 11.
    Richly, K., Brauer, J., Schlosser, R.: Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies Based on Trajectory Data. 9th International Conference on Operations Research and Enterprise Systems, ICORES 2020. pp. 47–58 (2020).
    [ BibTeX ]
     
  • 12.
    Schlosser, R.: Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers. Communications in Computer and Information Science (CCIS), Vol. 1162. pp. 47–69. Springer (2020).
    [ BibTeX ]
     
  • 13.
    Kossmann, J., Schlosser, R.: Self-driving database systems: a conceptual approach. Distributed and Parallel Databases. 38, 795–817 (2020).
    [ BibTeX ]
     
  • 14.
    Schlosser, R., Halfpap, S.: A Decomposition Approach for Risk-Averse Index Selection. 32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020). pp. 16:1–16:4 (2020).
    [ BibTeX ]
     
  • 15.
    Schlosser, R.: Risk-Sensitive Control of Markov Decision Processes: A Moment-Based Approach with Target Distributions. Computers and Operations Research. 123 (104997), 1–15 (2020).
    [ BibTeX ]
     
  • 16.
    Kossmann, J., Halfpap, S., Jankrift, M., Schlosser, R.: Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms. Proceedings of the VLDB Endowment. pp. 2382–2395 (2020).
    [ BibTeX ] [ Download ]
     
  • 17.
    Halfpap, S., Schlosser, R.: Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures. CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management. pp. 3409–3412 (2020).
    [ BibTeX ]
     
  • 18.
    Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). pp. 100–106 (2019).
    [ BibTeX ] [ Download ]
     
  • 19.
    Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects. Journal of Revenue & Pricing Management. 18, 451–464 (2019).
    [ BibTeX ]
     
  • 20.
    Schlosser, R., Kossmann, J., Boissier, M.: Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1238–1249. IEEE (2019).
    [ BibTeX ] [ Download ]
     
  • 21.
    Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1746–1749 (2019).
    [ BibTeX ] [ Download ]
     
  • 22.
    Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 2008–2011 (2019).
    [ BibTeX ] [ Download ]
     
  • 23.
    Schlosser, R.: Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects. 8th International Conference on Operations Research and Enterprise Systems, ICORES 2019. pp. 179–188 (2019).
    [ BibTeX ]
     
  • 24.
    Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15–29 (2019).
    [ BibTeX ] [ Download ]
     
  • 25.
    Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018. pp. 397–403 (2019).
    [ BibTeX ]
     
  • 26.
    Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science. pp. 15–36. Springer (2019).
    [ BibTeX ]
     
  • 27.
    Schlosser, R., Richly, K.: Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information. 7th International Conference on Operations Research and Enterprise Systems, ICORES 2018. pp. 21–30 (2018).
    [ BibTeX ]
     
  • 28.
    Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Communications in Computer and Information Science (CCIS). pp. 129–150. Springer (2018).
    [ BibTeX ] [ Download ]
     
  • 29.
    Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527–533 (2018).
    [ BibTeX ]
     
  • 30.
    Schlosser, R., Boissier, M.: Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. Computers and Operations Research. 100, 26–42 (2018).
    [ BibTeX ] [ Download ]
     
  • 31.
    Boissier, M., Schlosser, R., Uflacker, M.: Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements. IEEE 34th International Conference on Data Engineering (ICDE 2018). pp. 209–220 (2018).
    [ BibTeX ] [ Download ]
     
  • 32.
    Schlosser, R., Boissier, M.: Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. KDD ’18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 705–714 (2018).
    [ BibTeX ] [ Download ]
     
  • 33.
    Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2018). pp. 5856–5858 (2018).
    [ BibTeX ] [ Download ]
     
  • 34.
    Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177–190. Springer Gabler (2017).
    [ BibTeX ]
     
  • 35.
    Seiffert, M., Holstein, F., Schlosser, R., Schiller, J.: Next Generation Cooperate Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network. IEEE Access Journal. 5, 16793–16807 (2017).
    [ BibTeX ]
     
  • 36.
    Serth, S., Podlesny, N., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. 21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017, Quebec City, QC, Canada, October 10-13, 2017. pp. 61–66. IEEE (2017).
    [ BibTeX ] [ Download ]
     
  • 37.
    Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys ’17). pp. 355–357. ACM, New York, NY, USA (2017).
    [ BibTeX ] [ Download ]
     
  • 38.
    Schlosser, R., Boissier, M.: Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors. Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES), Porto, Portugal. pp. 47–56 (2017).
    [ BibTeX ] [ Download ]
     
  • 39.
    Zimmermann, T., Djürken, T., Mayer, A., Janke, M., Boissier, M., Schwarz, C., Schlosser, R., Uflacker, M.: Detecting Fraudulent Advertisements on a Large E-Commerce Platform. Proceedings of the Nineteenth International Workshop on Data Warehousing and OLAP, DOLAP, Venice, Italy, March 21, 2017 (2017).
    [ BibTeX ] [ Download ]
     
  • 40.
    Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144–1155 (2017).
    [ BibTeX ]
     
  • 41.
    Boissier, M., Djürken, T., Schlosser, R., Faust, M.: A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, CCIS 639. pp. 285–299 (2016).
    [ BibTeX ] [ Download ]
     
  • 42.
    Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439–452 (2016).
    [ BibTeX ]
     
  • 43.
    Schlosser, R., Boissier, M., Schober, A., Uflacker, M.: How To Survive Dynamic Pricing Competition in E-commerce. Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016 (2016).
    [ BibTeX ] [ Download ]
     
  • 44.
    Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153–169 (2016).
    [ BibTeX ]
     
  • 45.
    Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163–181 (2015).
    [ BibTeX ]
     
  • 46.
    Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365–383 (2015).
    [ BibTeX ]
     
  • 47.
    Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dynamic Games and Applications. 5, 334–360 (2015).
    [ BibTeX ]
     
  • 48.
    Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451–468 (2015).
    [ BibTeX ]
     
  • 49.
    Helmes, K., Schlosser, R., Weber, M.: Dynamic Advertising and Pricing in a Class of General New-Product Adoption Models. European Journal of Operational Research. 229, 433–443 (2013).
    [ BibTeX ]
     
  • 50.
    Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814–2832 (2013).
    [ BibTeX ]
     

Open Positions

  • We are accepting applications for Ph.D. and post-doc positions from exceptional candidates
  • We welcome highly motivated Bachelor and Master students to join our research projects

 

Read More

News

19.07.2021 | Bachelor Project Presented Their Dashboard Built on SAP Graph

We are very proud to share the results of our Bachelor Project team consisting of Jannis Rosenbaum, Tim Kuffner, Jessica … > Go to article

04.05.2021 | "Data dependencies for query optimization: a survey" published in VLDBJ

In our latest paper, we quantify the importance of eleven query plan optimizations for the TPC-H benchmark. Knowing … > Go to article

27.04.2021 | Successful PhD Defense of Ralf Teusner on Programming Education in Massive Open

We are happy to announce that Ralf Teusner successfully defended his thesis “Situational Interventions and Peer Feedback … > Go to article

19.11.2020 | Best Paper Award received at CSEE&T 2020

We are happy to announce that our paper "InnoDev Workshop: A One Day Introduction to Combining Design Thinking, Lean … > Go to article

28.07.2020 | "An Experimental Evaluation of Index Selection Algorithms" published in PVLDB

Our recent paper compares and evaluates eight index selection algorithms along different dimensions, such as solution … > Go to article

04.05.2020 | "Quantifying TPC-H Choke Points and Their Optimizations" published in PVLDB

In our latest paper, we quantify the importance of eleven query plan optimizations for the TPC-H benchmark. Knowing … > Go to article

01.05.2020 | Change of Chair Representation

With beginning of May, Dr. Michael Perscheid is becoming the new Chair Representative at the chair of Prof. Dr. Hasso … > Go to article

03.03.2020 | Best Master Thesis in Education Technologies 2019

An expert jury of the German society for computer science awarded Sebastian Serth’s master thesis as the best thesis in … > Go to article

Literature

"A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.

Contact

Dr. Michael Perscheid

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: michael.perscheid(at)hpi.de


Office:

Room: V-2.12

Tel.: +49 (331) 5509-560

Fax: +49 (331) 5509-579

E-Mail: office-epic(at)hpi.de

 

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