Enterprise Platform and Integration Concepts
Hasso-Plattner-Institut
Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

Welcome to the website of the "Enterprise Platform and Integration Concepts" (EPIC) group.
Our activities are focused on the following research topics:

In-Memory Data Management for Enterprise Applications
Human-Centered Software Design and Engineering
In-Memory Data Management for Life Sciences

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Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Dr. Hasso Plattner. If you are interested in our work or want to join our team, please contact Dr. Matthias Uflacker.

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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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Our research focuses on the principles of in-memory data management on modern hardware and the integration of different hard- and software systems to meet business requirements. This involves studying the conceptual and technological aspects of modern enterprise applications as well as tools and methods for enterprise systems design.

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We continually strive to translate our research into practical outputs that improve the quality of enterprise applications. A close link to industry partners ensures relevance and impact of our work. Get here an overview of our current and previous projects.

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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

Postdoc

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

Research Interests

Database Optimization

  • Optimal Resource Allocation
  • Workload-Driven Decision-Making
  • Index Selection
  • Data Placement
  • Partial Replication

Revenue Management

  • Optimal Control of Dynamic Systems
  • Stochastic Models & Simulation
  • Data-Driven Decision-Making
  • Dynamic Pricing Competition
  • Inventory Management

Data-Mining

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

Projects

Education

  • Ph.D. in Operations Research (summa cum laude), Humboldt-University of Berlin, Germany (05/2014), Topic: Dynamic Pricing and Advertising Models; Elsa-Neumann-Scholarship, Berlin Senate (Ph.D. grant)
  • Master's degree (Dipl.-Math.) in Mathematics (very good), Humboldt-University of Berlin, Germany (10/2010), Focus: Optimization, Stochastics, Financial Mathematics
  • Master's degree (Dipl.-Kfm.) in Business Administration (very good), Humboldt-University of Berlin, Germany (02/2010), Focus: Operations Research, Econometrics, Risk Management

Reviewing

  • 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
  • Omega: The International Journal of Management Science
  • Expert Systems with Applications
  • Management Science

Publications

  • 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 ]
     
  • Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science, Springer (accepted for publication) (2018).
    [ BibTeX ]
     
  • 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 ]
     
  • 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 ]
     
  • 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 ]
     
  • 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 ]
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527-533 (2018).
    [ BibTeX ]
     
  • Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Operations Research and Enterprise Systems 6th International Conference, ICORES 2017, Porto, Portugal, February 23–25, 2017, Revised Selected Papers. pp. 129-150. Springer (2018).
    [ BibTeX ] [ Download ]
     
  • 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 ]
     
  • Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144-1155 (2017).
    [ BibTeX ]
     
  • 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 ]
     
  • 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 ]
     
  • 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 ]
     
  • 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 ]
     
  • 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 ]
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153-169 (2016).
    [ BibTeX ]
     
  • 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 ]
     
  • Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439-452 (2016).
    [ BibTeX ]
     
  • 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).
    [ BibTeX ] [ Download ]
     
  • Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163-181 (2015).
    [ BibTeX ]
     
  • Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451-468 (2015).
    [ BibTeX ]
     
  • Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365-383 (2015).
    [ BibTeX ]
     
  • Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dynamic Games and Applications. 5, 334-360 (2015).
    [ BibTeX ]
     
  • Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814-2832 (2013).
    [ BibTeX ]
     
  • 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 ]
     

Chair of Prof. Hasso Plattner

Contact:

Dr. Matthias Uflacker

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: matthias.uflacker(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

 

Contact Details

News

16.05.2018 | Top ranks at Fifth BioASQ Challenge

Our NLP team took outstanding 1st and 2nd positions at the Fifth BioASQ Challenge for large-scale … > more

09.05.2018 | Paper accepted at SSDBM 2018

Our paper "Order-Independent Constraint-Based Causal Structure Learning for Gaussian Distribution … > more

09.04.2018 | SORMAS technical paper published in Frontiers in ICT

Our paper "Ebola Outbreak Containment: Real-Time Task and Resource Coordination with SORMAS" … > more

28.02.2018 | Paper accepted at ICDE 2018

Our paper "Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements" … > more

28.01.2018 | Best Paper Award received at ICORES'18

We are happy to announce that our paper "Dynamic Pricing Strategies in a Finite Horizon Duopoly … > more

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

 

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Literature

We are proud to announce " 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.