General Information

IEEE ICIEA 2021-Europe proposals for special sessions within the technical scope of the conference. Special sessions supplement the regular program of the conference and provide a sample of the state-of-the-art research in both academia and industry in special, novel, challenging, and emerging topics.

Special-session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of their special session as Chairs or Co-Chairs of the event.

Proposal Application

Please provide all the information requested above in PDF format by E-mail to before October 30, 2020

  • Title;
  • Name(s) of organizer(s);
  • Email of main contact person;
  • Brief bio(s) of organizer(s);
  • Brief description;
  • Related topics;
  • Potential participants;

Special Session I
Machine Learning and Industrial Engineering

About the Session:

Machine Learning (ML) has recently emerged as a prospective area of investigation for several aspects of Industrial Engineering (IE). This special session aims at gathering together experts in such areas, to give an overview of the state-of-the-art of the field. Papers and presentations about innovative research on machine learning both addressing IE problems directly, or supporting traditional approaches, are welcome. Topics of interest include, but are not limited to: Decision Analysis and Methods

  • Decision Support Systems
  • Information Processing and Engineering
  • Intelligent Manufactoring Systems
  • Logistics and Supply Chain Management
  • Mathematical Programming
  • Operations Research Applications
  • Production Planning and Control
  • Quality Control and Management
  • Reliability and Maintenance Engineering
  • Safety, Security and Risk Management
  • Scheduling Problems


Roberto Montemanni is full professor of operations research at the University of Modena and Reggio Emilia, Italy. He also acts as an external research advisor at the Dalle Molle Institute for Artificial Intelligence, University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK. He has been administrating grants for millions of Euros and leading basic and applied research projects both at national and international levels. His main research interests are in the fields of mathematical modeling, algorithms and machine learning, with applications mainly in transportations, logistics and industrial engineering.

Special Session II
Modern Digital Methods for Complete Machinery Design

About the Session:

For participation in special section papers of the following themes are invited

  • Automated design Systems usage in machines design
  • Lyfecycle-oriented design of machines
  • Optimal design of machines of different usage
  • Improvement of existing machines and products by means of mathematical modeling



Pavel P. Belonozhko born in 1970, is a full Professor of Bauman Moscow State Technical University, Russian Federation. He has more than 80 scientific papers in the field of theory of automatic control, mathematical and computer modeling. He was engaged in the study of the issues of controlling the shape of large-sized transformable space reflectors; representations of elongated elastically deformable elements of space structures by finite-dimensional mechanical design schemes; modeling the dynamics of spatially developed mechanical systems of variable configuration, space manipulators.He is currently conducting research in the field of modeling dynamics and control synthesis of promising space robotics devices. He takes an active part in organizing and conducting the forum of scientific youth “Step into the Future”. Member of the Forum Steering Committee. Member of the Jury of the Russian Youth Scientific and Engineering Exhibition "Step into the Future" and the National Competition for Young Scientists of the European Union.