IEEE Computational Intelligence Magazine - May 2022 - 9

Science and Technology of China,
Hefei, China. From 2019, he is the
Vice Dean of School of Information
Science and Technology, University of
Science and Technology of China,
Hefei, China.
From 2016, he has been the Co-Chairs
of IEEE SMC Technical Committee on
Bio-mechatronics and Bio-robotics Systems
(B^2S), and IEEE-RAS Technical
Committee on Neuro-Robotics Systems.
He is serving as a senior editor of Journal
of Intelligent & Robotic Systems, and
Associate Editors of several IEEE Transactions
including TNNLS, TASE, TMECH,
TCYB, TCDS, TSMCS, etc.
He received serval best paper awards
such as IEEE Transactions on Neural
Networks and Learning Systems Outstanding
Paper Awards (2022), IEEE
Transactions on Mechatronics Best
Paper Award Finalist
(2020), Toshio
Fukuda Best Mechatronics Paper
Award (2017), the Best Paper Award
(ICIA 2012, 2015), and Best Conference
Paper Award (ICIRA 2015), Biomedical
Paper Award (WCICA 2014).
He received prestigious awards and
recognitions including Distinguished
Lecturer (IEEE RAS 2018), National
Ten-thousand Talents Program of
China (2018), National Distinguished
Young Scholar (NSFC, 2016), Distinguished
Young Scientist Award (CAA
2017), and Clarivate Web of Science
Highly Cited Researcher (2019-2021),
Elsevier Highly Cited Researchers
(2014-2021). His main research interest
includes wearable robotics and biomechatronics
systems.
Thomas Runkler
Siemens AG, GERMANY
For contributions to computational intelligence
in clustering and control.
Thomas Runkler is an
industrial researcher
a t Siemens AG in
Munich, Germany,
currently in the position
of a Senior Principal
Research Scientist
for Data Analytics and Artificial Intelligence,
and a Professor of Computer Science
at the Technical University of
Munich, Germany. He received the BS,
MS, and PhD degrees in Electrical
Engineering from the Technical University
of Darmstadt, Germany, in 1992 and
1995, respectively, and the habilitation
degree in Computer Science from the
Technical University of Munich, Germany,
in 2001. He was a postdoctoral
researcher at the University of West Florida
from 1996-1997. His main research
interests include data analytics and pattern
recognition (with a focus on clustering),
automation and control (fuzzy
control, in particular defuzzification, and
reinforcement learning), swarm based
optimization (ant colonies, particle
swarms, wasp swarms), machine learning
(white box and explainable models, preference
learning, Gaussian processes), and
semantic technologies (ontologies, logical
reasoning and explanations, recommender
systems, natural language processing).
He is working on a variety of real world
industrial applications, for example in
factory automation, process
industry
(steel, pulp and paper), and logistics (supply
chain management, mobility, traffic
management). He currently holds 28 patents,
and he published more than 200
papers in international journals and conferences
in the fields of data analytics
and artificial intelligence, published the
monograph " Data Analytics " , now in
the third edition, and co-authored the
book " Fuzzy cluster analysis: Methods
for classification, data analysis and image
recognition " . He has served regularly in
the organization and program committees
of leading international conferences
and workshops such as FuzzIEEE, WCCI,
SSCI, IPMU, IFSA, EUSFLAT, ECML,
GECCO, and PPSN.
Bernhard Sendhoff
Honda Research Institute Europe
GmbH, GERMANY
For contributions to evolutionary optimization
and its engineering applications.
Bernhard Sendhoff
is currently Chief
Executive Officer of
the Global Network
Honda Research
Institutes, Operating
Officer of Honda
R&D Co., Ltd., and Managing Director of
the Honda Research Institute Europe
GmbH. Since 2008, he is Honorary Professor
at the Technical University of Darmstadt,
Germany. For more than ten years
(until 2020), he was also Honorary Professor
at the School of Computer Science,
University of Birmingham, UK.
He is Associate Editor of the IEEE
Transactions on Evolutionary Computation
and of the IEEE Transactions on
Cognitive and Developmental Systems.
Under his leadership the Honda Research
Institute Europe GmbH received the
IEEE CIS Outstanding Organization
Award in 2014. He led the Emergent
Technology Technical Committee of the
IEEE Computational Intelligence Society
in 2006 and 2007. He is a Senior Member
of the Association for Computing
Machinery (ACM) and a Member of the
Society of Automotive Engineers (SAE).
His h-index at Google Scholar is 48.
He published more than 250 reviewed
papers in journals and major conferences.
He has authored and co-authored more
than 35 patents. He has received as a coauthor
the IEEE Computational Intelligence
Magazine Outstanding Paper
Award in 2012.
He has served on Organization and
Program Committees and has given Plenary
Lectures for several major international
conferences, e.g., IEEE Congress
on Evolutionary Computation, IEEE
World Congress on Computational
Intelligence, Parallel Problem Solving
from Nature, and International Conference
on Artificial Neural Networks. He
has served on Advisory Boards for several
institutes and research programs.
His main research interests are the
application of evolutionary computation,
heuristic optimization, machine learning
and data science to complex engineering
problems. The cooperation between
intelligent systems and humans is equally
a focus of his research. This includes the
formation of hybrid AI, engineers teams
considering the special social dynamics of
hybrid team formation.
Ivor Tsang
The Agency for Science, Technology
and Research, SINGAPORE
MAY 2022 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 9
IEEE Computational Intelligence Magazine - May 2022

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