Distinguished Lecturers

 

James C. Bezdek (2019-2021)
Computing and Information Systems
University of Melbourne
Milton, FL, USA
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Research Field: Cluster analysis, Visualization, Cluster validity, Streaming clustering

Lecture Topic 1: How big is too big? Clustering in BIG DATA with the Fantastic 4 (abstract)

Lecture Topic 2: Every picture tells a story: Visual Cluster Assessment in Relational Data (abstract)

Lecture Topic 3: Scalar Indices of Cluster Validity; Do you believe the outputs? (abstract)

  

Pau-Choo Chung (Julia) (2019-2021)
Department of Electrical Engineering
National Cheng Kung University
Tainan, Taiwan ROC
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Research Field: Deep Learning Models for Image Analysis, CI for Medical Image Analysis, Adaptive bio-signal analysis

Lecture Topic 1: Convolutional Networks for Medical Image Analysis: Its Past, Future, and Issues (abstract)

Lecture Topic 2: Gait and Balance Analysis for the Elderly Using an Inertial-Sensor-Based Wearable Device (abstract)

Lecture Topic 3: Recent Development of Deep Learning Neural Networks for Image Analysis: An Overview (abstract)

  

Kalyanmoy Deb (2018-2020)
Michigan State University
428 S. Shaw Lane
East Lansing, Michiagn 48864 USA
phone: +1 517 930 0846
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Research Field: Evolutionary Practical Optimization, Multi-Criterion Optimization, Evolutionary Multi-Level Optimization

Lecture Topic 1: Evolutionary Optimization for Practical Problem Solving (abstract)

Lecture Topic 2: Recent Advances in Evolutionary Multi-Criterion Optimization and Future Studies (abstract)

Lecture Topic 3: Evolutionary Multi-Level Optimization (EMLO) for Hierarchical Problem Solving (abstract)

  

Saman K. Halgamuge (2019-2021)
Department of Mechanical Engineering
University of Melbourne
Melbourne, Victoria, Australia
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Research Field: Computational Intelligence in Energy and Bioinformatics

Lecture Topic 1: An Inclusive Learning Algorithm Framework in an increasingly Networked World of Transducers (abstract)

Lecture Topic 2: Unsupervised Deep Learning meets Bioinformatics and Neural Engineering (abstract)

Lecture Topic 3: Can the Best Optimization Algorithm Please stand up? (abstract)

 

Rudolf Kruse (2018-2020)
Otto-von- Guericke University
Magdeburg, Sachsen-Anhalt 39106 Germany
phone: +49-391-67-58706
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Research Field: Intelligent Systems: Uncertainty, Imprecision, Learning and Fusion

Lecture Topic 1: Decomposable Models: On Learning, Fusion and Revision (abstract)

Lecture Topic 2: Industrial Applications of Probabilistic Networks (abstract)

 

Sushmita Mitra (2019-2021)
Machine Intelligence Unit
Indian Statistical Institute
Kolkata 700108, India
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Research Field: Hybridization in computational intelligence, Machine learning, Biomedical imaging, Bioinformatics

Lecture Topic 1: Hybridization with Rough Sets: Application to Bioinformatics and Biomedical Imagery (abstract)

Lecture Topic 2: Mining Gene Expressions using Domain Knowledge: Application to Gene Regulation and Evaluation (abstract)

Lecture Topic 3: Intelligent Biomedical Image Analysis (abstract)

Lecture Topic 4: From Learning to Deep Learning (abstract)

 

 

Alice Smith (2018-2020)
Industrial and Systems Engineering and Computer Science and Software Engineering
Auburn University
Auburn, AL 36849
phone: 334 844 1460
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Research Field: Modeling and optimization of complex systems using computational intelligence

Lecture Topic 1: Blast from the Past – Revisiting Evolutionary Strategies for the Design of Engineered Systems (abstract)

Lecture Topic 2: Decision Science Inspired by Nature (abstract)

Lecture Topic 3: Evolutionary Multi-Objective Optimization (abstract)

 

PN Suganthan (2018-2020)
Electrical and Electronic Engineering
NTU
Nanyang Avenue
Singapore, Singapore 639798
phone: 6567905404
email: This email address is being protected from spambots. You need JavaScript enabled to view it. .a_t. ntu.edu.sg

Research Field: Evolutionary, Swarm, Neural Classification, Neural Forecasting

Lecture Topic 1: Numerical Optimization by Differential Evolution (abstract)

Lecture Topic 2: Non-Iterative Learning Methods for Classification and Forecasting (abstract)

 

Kay Chen TAN (2019-2021)
Department of Computer Science
City University of Hong Kong
Kowloon Tong, Hong Kong
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Research Field: Evolutionary Computation

Lecture Topic 1: Evolutionary Multi-objective Optimization (abstract)

Lecture Topic 2: Evolving Deep Neural Networks (abstract)

Lecture Topic 3: Evolutionary Design and Optimization (abstract)