Please join us online during December 13-17, 2021.

Machine Intelligence Research Labs (MIR Labs) provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. MIR Labs events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. 

Attendee only registration is open now until December 12, 2021. Please follow the link below: https://www.townscript.com/e/isda21

Registered attendee would be entitled to attend all the 10 plenary sessions and over 300+ paper presentations (online and offline) during December 13-17.

Preliminary conference program:

http://www.mirlabs.org/isda21/program.php

** 7 Concurrent Conferences **

-- 21st International Conference on Intelligent Systems Design and Applications (ISDA’21)  –- http://www.mirlabs.net/isda21

-- 21st International Conference on Hybrid Intelligent Systems (HIS'21) 

-- http://www.mirlabs.net/his21

-- 17th International Conference on Information Assurance and Security (IAS 2021) 

-- http://www.mirlabs.org/ias21

-- 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)

 -- http://www.mirlabs.org/socpar21

-- 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021) 

-- http://www.mirlabs.net/nabic21

-- The 12th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'21) 

-- http://www.mirlabs.net/ibica21

-- The 11th World Congress on Information and Communication Technologies (WICT'21) 

--http://www.mirlabs.org/wict21

** 10 Plenary Talks **

Speaker 1: Antônio de Padua Braga, Federal University of Minas Gerais, Brazil

Title: Large margin classification with graph-based models

Speaker 2: Juergen Branke, University of Warwick, Coventry, United Kingdom

Title: Learning to optimise – optimal learning

Speaker 3: Oscar Cordon, University of Granada, Spain

Title: Hybrid Intelligent Systems for Forensic Anthropology and Human Identification

Speaker 4: Kalyanmoy Deb, Michigan State University, USA

Title:  Customized Evolutionary Optimization for Practical Problem Solving

Speaker 5: Marco Dorigo, Université Libre de Bruxelles, Belgium

Title: Elicitation of Feature Concepts as Data Federative Innovation Literacy

Speaker 6: Andries Engelbrecht, University of Stellenbosch, South Africa

Title: Set-based Particle Swarm Optimization Approach to Portfolio Optimization

Speaker 7: Frédéric Guinand, Le Havre Normandy University, France

Title: Swarms of Unmanned Aerial Vehicles

Speaker 8: Yukio Ohsawa, The University of Tokyo, Japan

Title: Elicitation of Feature Concepts as Data Federative Innovation Literacy

Speaker 9: Günther Raidl, Technische Universität Wien, Austria

Title: Combinatorial Optimization Meets (Reinforcement) Learning

Speaker 10: Cengiz Toklu, Beykent University, Istanbul, Turkey

Title: Hybrid Algorithms. Applications to Structural Mechanics

**Technical Contact**

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Dr. Ajith Abraham

Email: [log in to unmask]