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

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, DBLP
  

Research

Data-Driven Decision Support & Dynamic Applications

The need for automated decision-making is steadily increasing. The goal is to derive methods and models for automated decision support for practical applications in uncertain and changing environments. Solving problems in practical applications requires bringing together data management, analytics, optimization, and risk management.

Our research group Data-Driven Decision Support 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. Our research has been published in renowned OR Journals (EJOR, JEDC, COR, IJPE, IJPR, DGAA, JRPM), distinguished data science conferences (KDD, IJCAI, RECSYS, SDM), and leading computer science venues (VLDB, ICDE, EDBT, DAPD, CIKM, SSDBM).

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 Prediction/Anticipation

Current Projects

  • Data-Driven Decision Support & Self-Learning Agents in the ReCommerce Industry (planned DFG Project Proposal)
  • 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 01/2022): University of Waterloo, Waterloo, Canada
  • Research Stay (planned 12/2021): Memorial University, St. John's, Canada
  • Research Stay: KEDGE Business School, Marseille (Oct 2019)
  • Research Stay: 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
  • Heliyon
  • 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
  • Green Finance
  • 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.
    Chenavaz, R., Klibi, W., Schlosser, R.: Dynamic Pricing with Reference Price Effects in Integrated Online and Offline Retailing. International Journal of Production Research (to appear). (2021).
     
  • 2.
    Schlosser, R.: Heuristic Mean Variance Optimization in Markov Decision Processes using State-Dependent Risk Aversion. IMA Journal of Management Mathematics. 1–19 (2021).
     
  • 3.
    Halfpap, S., Schlosser, R.: Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pp. 1811–1816 (2021).
     
  • 4.
    Richly, K., Schlosser, R., Boissier, M.: Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pp. 1901–1906 (2021).
     
  • 5.
    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).
     
  • 6.
    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).
     
  • 7.
    Kastius, A., Schlosser, R.: Dynamic Pricing under Competition using Reinforcement Learning. Journal of Revenue and Pricing Management. 1–22 (2021).
     
  • 8.
    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).
     
  • 9.
    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).
     
  • 10.
    Schlosser, R., Chenavaz, R., Dimitrov, S.: Circular Economy: Joint Dynamic Pricing and Recycling Investments. International Journal of Production Economics. 108117, 1–13 (2021).
     
  • 11.
    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).
     
  • 12.
    Kossmann, J., Schlosser, R.: Self-driving database systems: a conceptual approach. Distributed and Parallel Databases. 38, 795–817 (2020).
     
  • 13.
    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).
     
  • 14.
    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).
     
  • 15.
    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).
     
  • 16.
    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).
     
  • 17.
    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).
     
  • 18.
    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).
     
  • 19.
    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).
     
  • 20.
    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).
     
  • 21.
    Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15–29 (2019).
     
  • 22.
    Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018. pp. 397–403 (2019).
     
  • 23.
    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).
     
  • 24.
    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).
     
  • 25.
    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).
     
  • 26.
    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).
     
  • 27.
    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).
     
  • 28.
    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).
     
  • 29.
    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).
     
  • 30.
    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).
     
  • 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).
     
  • 32.
    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).
     
  • 33.
    Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527–533 (2018).
     
  • 34.
    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).
     
  • 35.
    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).
     
  • 36.
    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).
     
  • 37.
    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).
     
  • 38.
    Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144–1155 (2017).
     
  • 39.
    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).
     
  • 40.
    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).
     
  • 41.
    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).
     
  • 42.
    Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439–452 (2016).
     
  • 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).
     
  • 44.
    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).
     
  • 45.
    Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153–169 (2016).
     
  • 46.
    Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451–468 (2015).
     
  • 47.
    Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dynamic Games and Applications. 5, 334–360 (2015).
     
  • 48.
    Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163–181 (2015).
     
  • 49.
    Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365–383 (2015).
     
  • 50.
    Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814–2832 (2013).
     
  • 51.
    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).