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Peiman Alipour Sarvari

Adjunct Professor, UBI Brussels

Language

English, Turkish, French,

Contact

Education Qualification

2017-2019 Post-Doctorate SCQF Level 11, Luxembourg Institute of Science and Technology (Luxembourg)

  • Big Data and Artificial Intelligence for tire design

  • Optimization algorithms for tire industry

  • Simulation and hyper parameter tuning for Machine Learning (black boxes)

2013-2017 PhD SCQF Level 10, Istanbul Technical University (Turkey)

  • Industrial Engineering, PhD student

  • AI for maritime industry engineer at National Fund Project (PhD Thesis)Curriculum Vitae Peiman 

  • Optimization and supply chain management, Research Assistant

2011-2013 MSc SCQF Level 8, University of Gazi (Turkey)

  • Industrial Engineering, Master student

  • Supply chain and logistics Engineer, Anadolu Jet (Master Thesis)

2004-2008 BSc SCQF Level 8, Azad University (Iran)

  • Industrial Engineering (Supply chain and system analysis)

2018-2019 Graduate Certificate / Diploma SCQF Level 11, Confluent (USA)

  • Confluent Developer Skills for Building Apache Kafka

2018-2019 Graduate Diploma SCQF Level 11, Confluent (USA)

  • Confluent Stream Processing Using Kafka Streams & KSQL

2018-2019 Graduate Diploma SCQF Level 10, Firebrand (UK)

  • AWS Solutions Architect - Associate and Professional

2017-2018 Graduate Diploma SCQF Level 11, Udacity (Online)

  • Deep Learning Nanodegree

Recent Professional Academic Experience

2020-Present Visiting Professor and Research Associate, School of Economics and Business, Kaunas University of Technology in Lithuania

  • Performing lectures

  • Supervising PhD theses

  • IN4ACT Era Chair research team member

  • Project definition to acquire external funding

2017-Present Research and Technology Researcher (CDI), Luxembourg Institute of Science and Technology (LIST)

  • Machine Learning expert and data scientist

  • Process Optimization and Distributed Systems scientist

  • International and national project coordination and management

  • Project definition to acquire external funding

2019-Present Lecturer and Trainer, House of Training Luxembourg

  • Data Mining - Fundamental Concepts, Challenges and Opportunities for Finance (Hands on)(120h)

  • Industry 4.0 – Digital Humanity (12h)

Selected Publications & Other Achievements
  • Sarvari, P. A., Çevikcan, E., Çelik, M., & Ustundag, A. A Simulation Aided Methodology Suggestion for Managing Emergency Evacuation Operation Under Engine Room Sourced Fire Conditions. Journal of ETA Maritime Science, 5(4), 362-385.

  • Sarvari, P. A., Cevikcan, E., Ustundag, A., & Celik, M. (2017). Studies on emergency evacuation management for maritime transportation. Maritime Policy & Management, 1-27.

  • Sarvari, P. A., Ustundag, A., & Takci, H. (2016). Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis. Kybernetes, 45(7), 1129–1157. http://doi.org/10.1108/K-07-2015-0180

  • Sarvari P.A., Ustundag A., Cevikcan E., Kaya I., Cebi S. (2018) Technology Roadmap for Industry 4.0. In: Industry 4.0: Managing The Digital Transformation. Springer Series in Advanced Manufacturing. Springer, Cham

  • Sarvari P.A., Calisir F., Zaim S. (2018) Relation of Grip Style to the Onset of Elbow Pain in Tennis Players. In: Calisir F., Camgoz Akdag H. (eds) Industrial Engineering in the Industry 4.0 Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham

  • Atiker, E. G. K., Yeni, F. B., Sarvari, P. A., & Çevikcan, E. (2018). A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints. In Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems (pp. 57-76). IGI Global.

  • Sarvari, P. A., Yeni, F. B., & Çevikcan, E. (2018). Hub Location Allocation Problems and Solution Algorithms. In Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems (pp. 77-106). IGI Global.