Call for Papers

The Third International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2022) will be held in Petrozavodsk, Karelia, one of the beautiful places in the North-West Russia, on August 21-25, 2022.

We are pleased to announce that SMARTY 2022 has attained the status of a satellite workshop of the International Congress of Mathematicians ICM 2022. ICM Logo

SMARTY workshop aims to bring together researchers working on the theoretical, algorithmic and methodological aspects of queueing theory, stochastic modeling and applied probability, focusing on applications of such methods across a broad spectrum of technical systems with primary interest in high-performance and distributed computing systems.

Key focus:

SMARTY 2022 sets up a working environment to share recent results on

  • Stability and performance issues of stochastic models of high-performance and distributed computing systems, as well as other modern technologies;
  • Applications of queueing theory and applied probability to the analysis of high-performance and distributed computing systems.

Proceedings:

Proceedings are published online at CEUR-WS (indexed in SCOPUS), after passing a single-blind review procedure by two or more independent reviewers.

The official language of SMARTY'22 is English. We expect that the accepted papers will be presented at the workshop. Submissions are handled with EasyChair. Details on submission process will be updated in the Submission section.

Roadmap:

A preliminary schedule of the workshop and the publication process is as follows (all the times are AoE):

  • Registration starts – February 01, 2022
  • Workshop abstracts/papers submission deadline – April 1, _2022
  • Notification of acceptance – May 31, 2022
  • Camera ready workshop papers – August 20, 2022
  • SMARTY workshop – August 21-25, 2022

Youth School:

August 25th is dedicated to students and young researchers focusing on queueing theory, stochastic modeling, applied probability and computer science. We expect several invited lectures and tutorials to inspire young researchers in those fields.

Contacts:

Workshop Secretary: Alexander Rumyantsev, IAMR KRC RAS, Petrozavodsk, Russia

Keynote Speakers

  • Masakiyo Miyazawa

    Masakiyo Miyazawa

    Institute for Data and Decision Analytics (iDDA), The Chinese University of Hong Kong, Shenzhen

    22.08 10:00 TBA

    Masakiyo Miyazawa graduated at Tokyo Institute of Technology, and joined Science University of Tokyo as a lecturer. Professor at the same department since 1989, and Professor emeritus (2013). Fractional Professor at Chinese University of Hong Kong, Shenzhen since 2019. He is working on queueing theory and applied probability. His current research interest are martingale approach for asymptotiic analysis of stochastic networks including queues and multidimensional reflecting processes by means of tail asymptotics of their multidimensional stationary distributions, or diffusion approximations, using semi-martingale reflecting Brownian motion on orthants.

  • Srinivas Chakravarthy

    Srinivas Chakravarthy

    Departments of Industrial and Manufacturing Engineering & Mathematics, Kettering University, Flint MI, USA

    23.08 10:00 TBA

    Srinivas Chakravarthy is a Professor in the Departments of Industrial and Manufacturing Engineering & Mathematics at Kettering University, Flint, Michigan. His research interests are in the areas of algorithmic probability, queuing, reliability, inventory, matrix-analytic modeling and simulation. He has published more than 120 papers in leading journals and made more than 100 presentations at national and international conferences. He co-organized the First International Conference on MAMs in Stochastic Models in 1995 held in Flint. His recognitions and awards include Distinguished Faculty (Kettering’s Faculty and Alumni Honor Wall), Distinguished Service Award 2019 - Vijinana Parishad of India for contribution to the field and the society, Rodes Professor, Kettering University, Kettering University Distinguished Research Award, Kettering University/GMI Alumni Outstanding Teaching Award, GMI Outstanding Research Award, and GMI Alumni Outstanding Teaching Award, and Educator of the Year Award by IEOM Society, 2016. Srinivas Chakravarthy has significant industrial experience by consulting with GM, FORD, PCE, and UPS.

Location

Pushkinskaya Str., 11. Petrozavodsk, Karelia Republic

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