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
   

Research

Data-Driven Decision-Support for Enterprise 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.

My research focuses on data-driven decision-making using quantitative methods of operations research and data science applied in the areas of (i) Operations 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

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

Current Projects

Selected Talks & Presentations

  • "Dynamic Pricing Competition in E-Commerce with Data-Driven Price Anticipations", 9th 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", 19th 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, August 2018,

    London, UK

  • "How To Survive Dynamic Pricing Competition in E-commerce", RecSys 2016, September 2016,

    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,

    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: 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

Reviewing

  • 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
  • Optimal Control, Applications and Methods
  • Symmetry
  • Operational Research
  • International Journal of Operations & Quantitative Management
  • Journal of Systems Science and Systems Engineering
  • Maritime Policy & Management
  • Omega
  • Expert Systems with Applications
  • IISE Transactions
  • IEEE Access
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Knowledge Discovery from Data
  • Journal of Cleaner Production
  • Operations Research Perspectives
  • Journal of Revenue and Pricing Management 
  • Management Science

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, 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

  • Schlosser, R.: Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers. Communications in Computer and Information Science (CCIS), Vol. 1162, to appear. pp. 1-23. Springer (2020).
     
  • 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).
     
  • 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.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018. pp. 397-403 (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., 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects. Journal of Revenue & Pricing Management. 16, 451-464 (2019).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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., 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.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527-533 (2018).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).
     
  • 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).