SPECIAL SESSION CHAIRS

Important Dates 
Paper submission:September 15, 2020
Notification of acceptance:September 30, 2020
Final camera-ready paper:October 15, 2020
Conference dates:November 24 26, 2020
For paper submission inquiry : ihci20k@gmail.com 
Online submission: https://easychair.org/conferences/?conf=ihci2020

1. Cognitive Modeling and Systems

Prof. U. S. Tiwary

Chair
Prof. Uma Shanker Tiwary
[ust@iiita.ac.in]
Indian Institute of Information Technology-Allahabad, (IIIT-A), India
https://silp.iiita.ac.in/people/https://www.cogcomp.in/faculty/
Scope:
This special session will bring together researchers working in the areas of Cognitive Modeling, Cognitive Architectures and Systems, Cognitive Computing, Brain Modelling, Artificial Intelligence, Cognition, Self-Learning, Multi Cognitive-Agent Interactions, Inference Engine, Neuromorphic Computing, etc. and other Cognition related principles in an attempt to underline the recent developments and challenges in the area. The special session provides an informal, interactive venue for discussion of work in progress and future directions. The focus of this special session will be on solving complex problems, new technologies that mimics brain functioning and addressing the problems that are only solved by human cognitive thoughts. We invite submissions on any aspect of Artificial Intelligence and Simulating the Processes of Human Brain that relates to Cognitive Modeling and Systems. The special session will include contributed papers. Based on the review process (same as that of IHCI-2020) outcome, some quality accepted and presented papers in the special session will be included (published) in the Proceedings of IHCI-2020.Other novel contributions based on ongoing research may be invited for Oral presentation only.

 

2. Human-Computer Interfaces in Developing Countries


Dr. Suzana Brown
Dr. Mark D. Whitaker


Chairs
Dr. Suzana Brown
[suzana.brown@sunykorea.ac.kr]
Department of Technology and Society
SUNY Korea, 119 Songdo, Moonwha-Ro, Yeonsu-gu
Incheon, Korea? 406-840
Web: http://dts.sunykorea.ac.kr/Suzana-Brown
Dr. Mark D. Whitaker
[mark.whitaker@sunykorea.ac.kr]
Department of Technology and Society
Stony Brook University
The State University of New York, Korea
Web: http://dts.sunykorea.ac.kr/Mark-Whitaker
Scope:
This session appeals to scholars, practitioners, and entrepreneurs wanting to share their insights on how to adapt HCI to developing countries. We accept case studies or comparative analysis of such platforms and projects. Both successes and failures are instructive in this session for learning better routes for ICT4D in challenging circumstances such as unstable and variable electricity, weather ruggedness, educational difficulties, refugee situations, and business models for such situations.



3. Cognitive Learning Analytics


Prof. Arvind W Kiwelekar
Prof. Kenneth A. Yates

Chairs:
Prof. Arvind W Kiwelekar [awk@dbatu.ac.in]
Dr Babasaheb Ambedkar Technological University Lonere India www.awk-group.net
Prof. Kenneth Yates[kenneth.yates@usc.edu]
Co-Director, CHARIOT: Center for Human Applied Reasoning & IOTUSC University of Southern California, USA
Web: https://rossieronline.usc.edu/about/our-faculty/profile/kenneth-yates/

Scope:
The increa s ing use of Information and Communication Technologies (ICT) for delivering education has been posing new challenges to educators and creating opportunities for research. The adoption of ICT for education is generating data at an exponential rate. This data needs to be analyzed to get insights about learner`s behavior and to improve learning outcomes. The multidisciplinary field of Cognitive learning analytics concerns about developing theories, frameworks and technologies for the efficient analysis of educational data. The purpose of this special session on HCI Data- learning analytics is to bring together the researchers working towards addressing the challenges faced by educators due to the increasing deployment of ICT in educational institute. In this session, we seek the HCI - learning analytics of submission to enhance dialogue among researchers.


4. Intelligent System for Modeling and Complex Problem Solving

Chairs:
Dr. Mohd Helmy Abd Wahab
[helmy@uthm.edu.my]
Universiti Tun Hussein Onn, Malaysia
Web: https://scholar.google.com/citations?user=ZXB3XK8AAAAJ&hl=en
Prof. Masoud Mohammadian
[masoud.mohammadian@canberra.edu.au]
University of Canberra, Australia
Web: https://www.researchgate.net/profile/Masoud_Mohammadian2
Scope:
A special session of the conference is devoted to "Intelligent Systems for Modeling & Complex Problem Solving". Papers are being solicited for this session. Topics of this special session include, but are not limited to, the following area: Intelligent Systems for Control & Modeling; Intelligent and Adaptive Systems for Modeling and Control; Intelligent Systems for Robotic & Automation; Intelligent Systems for Identification and Control; Hybrid Intelligent Systems (Evolutionary-Neural Network Control), Hybrid Intelligent Systems (Evolutionary-Fuzzy Logic Control), Genetic Algorithms & Evolutionary Programming, Neural Networks and Evolutionary Control Systems for Robotics and Automation, We invite authors to submit original and high quality articles on the above mentioned topics.


5. Human-centered AI Applications

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Prof. Eui-Chul Lee

Chair:
Prof. Eui-Chul Lee
[eclee@smu.ac.kr]
Dean of Information & Comm., Dept.? of Intelligent Eng. Info. for Human, Sangmyung University, Seoul, Korea
Web: http://pr.smu.ac.kr/professor
Scope:
Recently, the direction of AI development is centered on human beings. Beyond mechanical AI, we are trying to develop AI that is human-friendly and thinks and determines like humans. Among a number of AI applications, many fields of determining human thoughts and intentions and providing services directly to humans are being studied. Sensors such as cameras are used to sense humans and the environment, and technology that processes and analyzes signals or images acquired from sensors through AI technology is very important. In order to share the results of these studies, a special session "Human-centered AI applications" was planned.


6. Intelligent Human-Health Informatics System

Chairs:
Prof. Pravin Pawar
[pravin.pawar@sunykorea.ac.kr]
Research Associate Professor at Department of Computer Science
State University of New York, Korea
Web: http://ppawar.github.io/
Prof. Jan Willem van’t Klooster
[j.w.vantklooster@utwente.nl]
Managing Director, BMS Lab
University of Twente, The Netherlands
Web: https://people.utwente.nl/j.vantklooster
Prof Thierry Oscar Edoh
[Oscar.edoh@gmail.com]
Research Associate at Dep. Regulatory Affairs/Inst. of Pharmacy
Bonn University, Germany
Web: https://www.linkedin.com/in/thierry-oscar-edoh-62659718/
Scope:
Health informatics refers to the practice of acquiring, studying, and managing health data and applying medical concepts in conjunction with ICT systems to help clinicians provide better healthcare. Data science refers to the use of scientific methods, processes, algorithms, and systems to extract knowledge and insights from many types structural and unstructured data. Due to ongoing advances in the areas of artificial intelligence, machine learning, deep learning as well as increasing sensor miniaturization, ubiquitous wireless connectivity and powerful smartphones, a growing number of knowledge-based systems are being developed in health informatics and data science areas. We solicit contributions for this special session from university researchers, PhD students and industry participants. Topics of this special session include, but are not limited to, the following area such as Mobile patient monitoring; Biomedical signals and systems; Medical IoT; Electronic health records; Wireless body area networks etc.

 

7. Operator 4.0 Intelligent Industrial System


Dr. Jia Uddin
Dr. Muhhammad Sohaib

Chairs:
Dr. Jia Uddin
[jia.uddin@wsu.ac.kr]
School of Technology Studies, Woosong University, Daejeon, South Korea
Web:https://scholar.google.com/citations?user=_AbsTz4AAAAJ&hl=en
Dr. Muhammad Sohaib
[md.sohaib@lgu.edu.pk]
Lahore Garison University. Lahore, Pakistan
Web: http://oricportal.lgu.edu.pk/Home/EmployeeDetail?id=2040
Scope:
The special session invites researchers both from industry and academia to concoct artificial intelligence empowered user-friendly software and embedded solutions for the smooth operation of industrial processes. The implication of such systems in an industry can have a significant positive impact on the safety of the facility as well as onboard personals, resources management, and its productivity. The scope of the special session includes but not limited to: Artificial intelligence and smart manufacturing, Big data analysis, Fuzzy systems, Human-machine interaction, Industrial fault diagnosis, Industrial security, safety, and reliability, Intelligent monitoring systems, Industry 4.0 and embedded systems, Inventory and warehouse management, Machine learning and Deep learning, Smart maintenance, predictive maintenance, Smart supply chain management for industry 4.0, Smart scheduling systems for industry 4.0, Smart decision support, Leadership 4.0, IoT and the industry 4.0. We request authors to submit original and high-quality articles on the above-mentioned topics.


8. Adaptive Security in Human Computer Interaction

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Irish Singh

Chair:
Irish Singh (singhirish@ajou.ac.kr)
Department of Computer Science, Ajou University, Suwon, South Korea
Scope:
Human Computer Interaction (HCI) has demonstrated a strong connectivity between humans and computers. HCI devices allow the people to interact with computers and extend computer ability to perform the interaction with humans. HCI encompasses a wide variety of fields such as computer science, behavioral sciences, etc. One of the most important research fields in building robust HCI systems is that of security. In this special session, we invite authors to submit their original and high-quality research work in the field of adaptive and interactive security challenges and their possible solutions in HCI such as privacy, authentication, authorization analysis that relates to usability evaluation, system’s robustness etc.



9. Human Computer Interaction for Intelligent Usability Test System

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Prof. Jong Ha Lee

Chair:
Prof. JongHa Lee (segeberg@kmu.ac.kr)
Department of Medical Engineering, School of Medicine, KeimyungUniversity, Daegu, South Korea
Web: http://www.aicdlab.com

Scope:
Intelligent usability test refers to the use of artificial intelligence technology to extract quantitative results from various human factors (motion, cognition, sensation). The focus on this special session will share the case studies or comparative analysis methods that relates to intelligent usability test system. This special session will bring together researchers working in the areas of Biomedical Engineering, Human Factors Engineering, Artificial Intelligence, Human Computer Interface, Cognitive Psychology etc. We invite submissions on any artificial intelligence and simulating the processes of human factor analysis that relates to usability evaluation. We invite authors to submit original and high-quality articles on the above Session topics.



10. Intelligent Brain-Computer Interface

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Dr. Shyam Perugu A person smiling for the camera  Description automatically generated

Dr. Nagmani M.

Chairs:
Dr. Shyam Perugu (shyampergu@nitw.ac.in)
Department of Biotechnology, National Institute of Technology, Warangal, India
Web:https://www.nitw.ac.in/faculty/id/16894/

Dr. Nagamani M. (nagamanics@uohyd.ac.in)
Department of Computer Science, University of Hyderabad, India
Web: https://scis.uohyd.ac.in/People/profile/mn_profile.php

Scope:
The brain is a central part of human life with capabilities for understanding art, culture, science, democracy, religion, technology and producing ideas which distinguish humans from animals. The Brain-Computer Interface (BCI) technology is an emerging field of research that combines the disciplines of biomedical signals and systems, information processing and cognitive science. The brain faculty is being explored based on domains such as speech, music, image, gesture, video recognition and cognitive skills. In this special session titled Intelligent Brain-Computer Interface, we invite researchers, academicians and engineers to report their original work in the following domains: The brain-computer interface sensors and signal processing, data analytics and machine learning techniques for speech, video, image processing, cognitive computer modeling, psychology, brain imaging, ICT systems for brain disorders etc.