Plenary Speaker 1: Professor Kaoru Sumi (Future University Hakodate,Japan)
Title: Human to Human Interaction using Virtual Agents Posing as AnotherPerson

Kaoru Sumi, Ph.D. Professor, Future University
Hakodate, Japan.

Education: Ph.D. from The University of Tokyo
Employment:
Kaoru Sumi is a Professor at Future University Hakodate for 11 years.
She is currently working on the following research.
・Human Agent Interaction ・Persuasive technology ・Affective Computing
・Artificial Intelligence in Education ・Digital storytelling
She previously worked at ATR MI&C Research Laboratories, Communications ResearchLaboratory, and Osaka University, where she researched human-computer interaction,knowledge engineering, and the application of artificial intelligence. After Prof. Sumi
worked on media informatics and human-agent interaction at the National Institute ofInformation and Communications Technology (NICT), and Hitotsubashi University, she
worked at The University of British Columbia as a Visiting Professor.
ACM Senior Member, IEEE Senior Member.
Awards:⚫ Best Technical Paper Award, 27th International Conference on Computers inEducation, ICCE2020 (2020.11)⚫ Best Full Paper Award, 15th International Conference on Intelligent Tutoring
Systems , ITS2019 (2019.6)⚫ IEEE Brain Winner, Brain-Computer Interface Hackathon at IEEE SMC2018 (2018.10)

Abstract:
There have been ever expanding opportunities for online distance education in recentyears, and agent-based interactions in virtual spaces have been attracting attention inthis context. In this talk, I will discuss the various educational possibilities of using virtual
spaces and agents, presenting examples from several studies. I will also introduce ourown development of systems using game-based learning [1] and a game-based story
generation system that automatically generates scripts in real time on the basis of players’
emotions and actions [2]. I will discuss persuasive technology that systems can utilize toinfluence human behavior, along with impressions and applications of facial expressions
and gestures, which are expressions of agents [3], and what can happen when a virtualagent interacts with other users in a virtual space.

[1] Kaoru Sumi and Kodai Kasai: A Serious Game for Learning Social Networking Literacy
by Flaming Experiences, Lecture Notes in Computer Science, Volume 178, Social
Informatics and Telecommunications Engineering series, Springer (2016.05).
[2] Kaoru Sumi & Shusuke Sato: Experiences of Game-Based Learning and Reviewing
History of the Experience Using Player's Emotions, Frontiers in Artificial Intelligence(2022).
[3] Kaoru Sumi and Mizue Nagata: Evaluating a Virtual Agent as Persuasive Technology,
Psychology of Persuasion, Janos Csapó and Andor Magyar eds., Nova Science Publishers(2010).

Plenary Speaker 2: Professor Evgeni Magid (Kazan Federal University, Russia)
Title: Simulation Tools for Urban Search and Rescue Robotics

Evgeni Magid, PhD, Professor of Kazan
Federal University, Russia
Senior IEEE member.

Education: Undergraduate Education: 2002, B.Sc. in Mathematics and Computer Science,
Technion - Israel Institute of Technology, Israel.
Graduate Education: 2006,M.Sc. in Applied Mathematics, Technion - Israel Institute of Technology, Israel.
Post Graduate Education: 2011, PhD in Engineering, Doctoral program in Intelligent
Interaction Technologies, Graduate School of Systems and Information Engineering atUniversity of Tsukuba, Japan.
Degree: 2011, The University of Tsukuba, Japan, PhD.
Biography:
2016-present: Professor of Kazan Federal University, Institute of Information Technologyand Intelligent Systems, Intelligent Robotics Department, Kazan, Republic of Tatarstan,Russia. Head of Intelligent Robotics Department, Founder and Head of «Intelligent
Robotic Systems Laboratory», Founder and Director of Master Program in Robotics.
2021-present: Professor, School of Electronic Engineering, HSE Tikhonov Moscow
Institute of Electronics and Mathematics, HSE University, Moscow, Russia.
2021-2022: Professor, The Bauman Moscow State Technical University (BMSTU), Moscow,Russia.
2014-2016: Professor, Founder and Head of «Intelligent Robotic Systems Laboratory»,
Innopolis University, Innopolis city, Republic of Tatarstan, Russia.
2013-2014: Postdoctoral Research Associate, The Bristol Robotics Laboratory, The
University of Bristol, Bristol, The United Kingdom (UK).
2012-2013: Postdoctoral Research Fellow, Carnegie Mellon University, Robotics Institute,Pittsburgh, PA, The United States of America (USA).
2011-2012: Postdoctoral Research Fellow, University of Tsukuba, Tsukuba, Japan.
Email: magid@it.kfu.ru
Web: https://kpfu.ru/robolab.html

Abstract:
Real world experiments are critical for validating performance of new concepts andalgorithms in robotics field. Yet, experiments tend to be too expensive in terms oftime and resources of a research team. Moreover, it is not feasible to conduct
thousands of complex experiments with a physical robot in a real environment. To
check new ideas, preliminary evaluate new algorithms and interaction protocols, on
first stages of a research project it is reasonable to start within a simulation. To
produce relevant results, a simulator should provide adequate models of robots
and environments with realistic physical properties. This paper presents anoverview of our experience in using robot operating system (ROS) with Gazebo andWebots simulators for urban search and rescue robotics projects and considers
constructing new models of mobile robots and complicated environments,algorithm validation and comparative analysis.
Keywords: Robotics, modelling, simulation, USAR, ROS, Gazebo, Webots

Plenary Speaker 3 Professor Xiaoyan Chen (Tianjin university of Science andTechnology, Tianjin, China)
Title: Enhancement methodology for low light image

Xiaoyan Chen, PhD, Professor of Tianjin university of Scienceand Technology, Tianjin, China)

Education:2009 year PH.D of Control Science and Engineering(Tianjin University)
Employment:
1999-2002：Engineer, Tianjin Hi-Tech Co. Tianjin, China
2002-present: Professor of Tianjin University of Science and Technology, Tianjin, China
2009-2015: Post-doctor (Tianjin University, China)
2009.8-2010.2, visiting scholar of RPI, USA
2012.9-2012.12, visiting scholar of Kent, UKAwards:
Excellent Advisor of Tianjin Education Committee, 2019.
Model Worker Award by Tianjin Government, 2020.
Principal Investigator of Softsz Co.,2020-present.
Bronze medal of 7th Internet+ Competition of China,2021

Abstract:
In order to solve the problems such as low brightness,high noise and poor contrast in under illumination
images, there are several methods proposed to address
this issue. Usually, these methods are categorized into
two different ways. One is based on traditional lightbased technology, the other is based on machinelearning technology. The low-light image enhancement
is often a challenging task because the noises in darkareas are amplified with the overall brightness andcontrast of the image. With the development ofmachine learning techniques, deep learning networks
are becoming the popular research topics recently toovercome the disadvantages of noisy dots. Based on the
deep analysis of the current research work, we
proposed a novel network and carried out lots ofcomparison experiments to analysis the performancesof these methods. By training, validation and testing on
the datasets, the evaluation critics are defined andutilized to analysis the efficiency of the methods. Withthe results, we draw the conclusion that the efficient
low-light image method can make up for theshortcomings of the environment, bring better viewers’
experience and provide preprocessing for subsequent
high-level computer vision tasks, such as target
recognition, face recognition, semantic segmentation,etc.

Plenary Speaker 4 Mr. Masato Nakagawa (DENSO CORPORATION, Fellow(1980 to present), Tokyo, Japan)
Title: “A New Style of Research and Development from the EU Perspective”
Sub-title “An Efficient and Rational R&D Approach”

President and CEO of DENSO Europe in 2015

Education:
B.E. Hiroshima University, Mechanical EngineeringEmployment:
DENSO CORPORATION: Fellow (1980 to present)
Japan Science and Technology Agency (JST) :Senior Fellow (2020 to present)
During the service at DENSO, Masato Nakagawa worked for DENSO Europeanorganization consecutive 14 years in the area of Automotive Engineering Field. He was aPresident and CEO of DENSO Europe in 2015.
Abstract:
This paper introduces a new style of research anddevelopment with a unique process of engineeringdevelopment based on the EU perspective. Two different
fields will be separated in the new style: competition fieldand non-competition field. The former is a specific areaencouraging companies to develop their unique technology
as differentiation strategy, and the later stresses
collaborations among different companies and organizations
for spreading the standardization of common technologies.
This new style with two different fields shows us a new
direction of the engineering development in variousengineering industry. In addition, this paper explains robot
technologies in the manufacturing of automotive sector interms of smart manufacturing concept.