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

Dr. Rainer Schlosser

Postdoc

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
   

Data-Driven Decision-Support for Enterprise Applications

I am working on data-driven decision-making for enterprise applications using quantitative methods of operations research and data science. I am particularly interested in the following fields:

Database Optimization

  • Optimal Resource Allocation
  • Workload-Driven Decision-Making
  • Robust Configurations for Stochastic Dynamic Workloads
  • Index Selection
  • Data Placement, Partial Replication

Operations Management

  • Optimal Control of Dynamic Systems
  • Stochastic Models & Simulation
  • Risk-Sensitive Decision-Making
  • Dynamic Pricing Competition, E-commerce
  • Inventory Management, Advertising

Machine Learning

  • Anticipation of Workload Scenarios
  • Analysis of Partially Observable Market Data
  • Demand Learning
  • Customer Choice, Strategic Customers
  • Estimation of Sales Probabilities

Projects

Selected Talks & Presentations

  • "Risk-Sensitive Control of Markov Decision Processes in Revenue Management: A Moment-Based Approach with Target Distributions"

    19th INFORMS Revenue Management & Pricing Conference, June 2019,

    held at the Stanford Graduate School of Business, CA, USA

  • "Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies" (with J. Kossmann, M. Boissier) and

    "Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming" (with S. Halfpap)

    35th IEEE International Conference on Data Engineering (ICDE 2019), April 2019,

    Macao SAR, China

  • "Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach" (with M. Boissier)

    24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), August 2018,

    London, UK

  • "Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors" (with M. Boissier)

    6th International Conference on Operations Research & Enterprise Systems (ICORES 2017), February 2017,

    Porto, Portugal

  • "How To Survive Dynamic Pricing Competition in E-commerce" (with M. Boissier, A. Schober, M. Uflacker)

    10th ACM Conference on Recommender Systems (RecSys 2016), September 2016,

    held at the Massachusetts Institute of Technology (MIT) and the IBM Research campuses in Boston, MA, USA

  • "Dynamic Pricing with Time-Dependent Elasticities"

    15th INFORMS Revenue Management & Pricing Conference, June 2015,

    held at 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 and Awards

  • Invited Talk: 9th International Congress on Industrial and Applied Mathematics - ICIAM 2019, grant managed within CEREMADE department of the University Paris Dauphine
  • 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

Reviewing

  • IEEE Transactions on Knowledge and Data Engineering
  • European Journal of Operational Research
  • International Journal of Production Economics
  • Journal of the Operational Research Society
  • Journal of Economic Dynamics and Control
  • IMA Journal of Management Mathematics
  • Transportation Research (Part E)
  • OR Spectrum
  • Economics E-Journal
  • Complexity
  • Operational Research
  • International Journal of Operations & Quantitative Management
  • Omega: The International Journal of Management Science
  • Expert Systems with Applications
  • IISE Transactions
  • Management Science

Scientific Communities: INFORMS, GOR, INSTICC, ACM, IEEE

Publications

  • 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).
     
  • Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems. ICDE workshop (SMDB), accepted for publication (2019).
     
  • Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases. ICDE Demo, accepted for publication (2019).
     
  • 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).
     
  • Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15-29 (2019).
     
  • Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018, forthcoming (2019).
     
  • Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. ICDE, accepted for publication (2019).
     
  • Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science 966. pp. 1-22. Springer (2019).
     
  • 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).
     
  • Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Operations Research and Enterprise Systems. pp. 129-150. Springer (2018).
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527-533 (2018).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144-1155 (2017).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153-169 (2016).
     
  • 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).
     
  • 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. p. 285--299 (2016).
     
  • Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439-452 (2016).
     
  • Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365-383 (2015).
     
  • Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451-468 (2015).
     
  • Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dynamic Games and Applications. 5, 334-360 (2015).
     
  • Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163-181 (2015).
     
  • Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814-2832 (2013).
     
  • 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).