1. Special Session on Machine Learning and Deep Learning approaches in applied computing to support Industry for real-world problems.

Organizers:
Dr. Alexei Lisitsa,
University of Liverpool, UK
Email:A.Lisitsa@liverpool.ac.uk

Dr Mohammed Khalaf
Almaraf University College, Iraq
Email: M.I.Khalaf@auc-edu.org

Scope and Topics:
The main aims of calling for this special session is to gather the state-of -art solutions to provide robust system with the ability to operate in dynamic and changing environments, including methods for industry and real-world problems. All the submitted papers should addressing either a theoretical or application-oriented perspective are highly recommended and welcome, as well as contributions presenting relevant applications. The special session also welcomes papers addressing other challenges related to applied computing to support industry for innovation and technology such as artificial intelligence, machine learning, and big data. The special session topics include, but are not limited to:

• Machine learning and deep learning methods in Healthcare and real-world problem
• Data Mining and Bioinformatics
• Multi-dimensional Big Data
• Computational Intelligence methods
• Extraction of Biometric Features (fingerprint, face, gait)
• Convolutional Neural Networks CNN
• Deep Reinforcement Learning
• Supervised and Unsupervised Machine learning for dimensionality reduction and clustering
• Machine learning in forecasting models
• Time series modelling in weather field
• Reinforcement learning
• Evolutionary optimization, machine vision, pattern recognition for supporting industry
• Real-world problem solving using swarm intelligence
• Evolutionary ensemble systems
• Evolutionary feature selection and construction for machine learning
• Kernels and Support Vector Machines

Organizer:
Dr. Yunxia Liu
College of information science and technology
Zhengzhou normal university, Zhengzhou, China
Email:liuyunxia0110@hust.edu.cn

Dr. DeGang Xu
Computer o school
Hubei university of arts and science, Xiangyang, China
Email: dgx.hust@gmail.com

Scope and Topics:
Information security has become a crucial need for almost all information transaction applications due to the large diversity of the hackers and attacks, Traditional techniques such as cryptography, watermarking, and data hiding are basic notions and play an important role in developing information security algorithms and solutions. In spite of the large development in the information security techniques, there are still several challenges that need to be addressed in terms of time, accuracy and reliability. The special session targets the information security research area with respect to trends, advanced techniques and applications, which attracts researchers and practitioners from academia and industry, and provides a discussion environment in order to share their experiences in information security.
Authors are encouraged to submit both theoretical and applied papers on their research in information security. Topics of interest include, but are not limited to:

• applied cryptography
• data protection
• formal methods in security
• information dissemination control
• information hiding and watermarking
• network security
• privacy
• secure group communications
• security in social networks
• embedded security

Organizer:
Ling Wang, Professor, Ph.D
Department of Automation, Tsinghua University, China
Email:wangling@tsinghua.edu.cn

Dr. Minxia Zhang,
College of Computer Science and Technology, Zhejiang University of Technology, China
Email: bin.qian@vip.163.com

Scope and Topics:
This special session intends to present the state-of-the-art of intelligent scheduling research for smart systems. Interdisciplinary methodologies on advanced intelligent computing and scheduling techniques may provide effective and efficient solution algorithms for complex scheduling problems. The aim of this special session is to reflect the most recent developments of metaheuristics, evolutionary algorithms, swarm intelligence and other intelligent computing techniques used for scheduling in a variety of smart systems.

The topics include but are not limited to:

• Intelligent computing in production scheduling
• Intelligent computing in project scheduling
• Intelligent computing in transportation scheduling
• Intelligent computing in timetabling
• Intelligent computing in nursing scheduling
• Intelligent computing in other scheduling problems
• Intelligent computing in multi-objective scheduling
• Intelligent computing in dynamic/uncertain/fuzzy scheduling
• Intelligent scheduling in practical systems
• Related topics

Organizers:
Dr. Yujun Zheng,
College of Information Engineering, Hangzhou Normal University, China
Email: zyj@hznu.edu.cn

Dr. Minxia Zhang,
College of Computer Science and Technology, Zhejiang University of Technology, China
Email: zmx@zjut.edu.cn

Scope and Topics:

Water wave optimization (WWO) is a novel nature-inspired algorithm that mimics the principle of shallow water wave motion models to solve optimization problems. The algorithmic framework of WWO, regardless of its simplicity and the metaphor used, is sufficiently generic and flexible, and thus can be applicable to a broad range of continuous and combinatorial optimization problems. That is why WWO has aroused great research interest since it was proposed in 2015.

The purpose of this special session is to bring together both researchers and practitioners to present and discuss the recent advances of WWO. Papers related with (but not limited to) the following topics are welcomed:

• Improved WWO algorithms
• WWO for combinatorial, constrained, and/or multiobjective optimization
• Theoretical analysis of WWO
• Hybridization of WWO with other metaheuristics
• Engineering applications of WWO in areas such as transportation, manufacturing, and big data
• Other algorithms that use similar ideas of WWO

Organizers:
Prof. Michal Choras
University of Science and Technology, UTP Bydgoszcz, Poland
Email: chorasm@utp.edu.pl

Dr Rafal Kozik
University of Science and Technology, UTP Bydgoszcz, Poland
Email: zmx@zjut.edu.cn

Scope and Topics:

Cybersecurity is currently the vivid problem not only in computer science and digital world, but for societies in general, ranging from children to elderly, from single citizens to governments, critical infrastructures and homeland security. Intelligent computing methods are believed to be able to solve some of the problems of cyberattacks, cyber-crime/terrorism, resilience etc.

Therefore authors are encouraged to submit both theoretical and applied papers about intelligent computing methods to solve cybersecurity related problems. Topics of interest include, but are not limited to:

• Cyber-attacks detection
  
• Machine learning for cybersecurity
  
• Deep learning for cybersecurity
  
• Malware, badware, ransomware detection
  
• Stegomalware detection
  
• Network security
  
• Cloud and grid security
  
• Intelligent computing for solving cyber crime/terrorism problems
  
• Granular computing for cybersecurity

Organizers:
Dr Wenzheng Bao,
Xuzhou University of Technology, China
Email:baowz55555@126.com

Dr Bin Yang
Zaozhuang University, China
Email:batsi@126.com

Scope and Topics:

Biological and medical information mining and procession can be regarded as one of the most significant issues in the field of artificial intelligence and machine learning. In this special session, we want to discuss the latest and novel artificial intelligence and machine learning approaches to deal with the information of medical information and biological data.
It is indeed of great interest for the scientific community to discover and mine the potential information of such huge data. The aim of this session is therefore to draw a picture of the recent advances and challenges in evolving artificial intelligence in biological and medical information mining and procession.

Topics for this session include, but are not limited to

Organizers:
Professor Dhiya Al-Jumeily ,
 Liverpool John Moores University,UK
Email:d.aljumeily@ljmu.ac.uk

Dr Prof. Abir Hussain
Abir Hussain, Liverpool John Moores University, UK
Email:A.hussain@ljmu.ac.uk

Dr Professor Hissam Tawfik
 Leeds Beckett University, UK
Email:H.Tawfik@leedsbeckett.ac.uk

Dr Professor Jamila Mustafin
Kazan Federal University, Russia
Email:DNMustafina@kpfu.ru

Dr Dr Thar Baker
 Liverpool John Moores University, UK
Email:T.baker@ljmu.ac.uk

Scope and Topics:

The world has moved from industry (0.0) to the 4th industrial revolution, which is happening all around us and affecting the way we live, learn, work and communicate with each other as well as with devices around us. Sensors, AI, Data Science and IoE are aimed to be a venue for researchers and practitioners interested in strategies, practices and tools, exchanging new theoretical and experimental design, solid findings and insights, best practices and applications to real-life situations, and review new opportunities and frameworks for AI Applications, Sensors developments and Data Analytics.

This special session encourages contributions that deal with all aspects of the scientific foundations, techniques and applications of computing, data and analytics, including but not limited to:

• Advance Sensors development and their applications
• Advances in Applications of AI
• Biomedical Intelligence & Clinical Data Analysis
• Bio-informatics, Health Informatics and bio-computing
• internet of everything and its applications
• Computational intelligence
• Decision support systems
• Genetic algorithms
• Image processing and Medical imaging
• Novel data processing and analytics, tools, and systems
• Big data systems, mining and management, tools, and applications
• Machine learning, Web-based decision making
• Advance Deep Learning methods and techniques

Organizers:
Jair Cervantes Canales
Autonomous University of Mexico State,Mexico
Email: jcervantesc@uaemex.mx

Farid García Lamont
Autonomous University of Mexico State,Mexico
Email:fglamont@yahoo.com.mx

José Sergio Ruiz Castilla
Autonomous University of Mexico State,Mexico
Email:jsergioruizc@gmail.com

Scope and Topics:

In recent years, the development of data collection techniques and the increase in storage capacity, has allowed to store large amounts of data. In recent years, digital image processing and computer vision have attempted to automate the tasks that the human visual system can do. Artificial vision algorithms have been successfully applied to many real-world problems ranging from medical image analysis, to object detection, classification and identification of plants from leaves and fault detection. In order to promote the development of this important area, The aim of this special session is to explore scientific paradigms, models, methods and technologies and applications with both solid theoretical development and practical importance, focusing on Computer Vision and Image Processing algorithms and their applications to different fields. Potential topics include, but are not limited to:

• Image segmentation
  
• Image restoration
  
• Object detection and classification
  
• Handwritten digit recognition
  
• Face detection and identification
  
• Texture image analysis
  
• Human activity recognition
  
• Visual scene analysis
  
• Object tracking
  
• Image feature extraction

Organizers:
Yongquan Zhou, Professor, Ph.D
College of Information Science and Engineering, Guangxi University for Nationalities,China
Email: yongquanzhou@126.com

Ruxin Zhao, Ph.D
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
Email: nnzhaoms@126.com

Guo Zhou，Ph.D & Associate Professor
Department of Science and Technology Teaching, China University of Political Science and Law, China
Email:guo.zhou@live.com

Scope and Topics:

Metaheuristic Optimization Algorithm is the collective behavior of decentralized, self-organized systems, natural or artificial. Metaheuristic Optimization Algorithm can be used in a number of applications. This special session will highlight the latest development in this rapidly growing research area of new swarm intelligence algorithm, such as, Whale Optimization Algorithm, Symbiotic Organisms Search Algorithm, Flower pollination algorithm, Bat Algorithm, Cuckoo Search, Algorithm, Grey Wolf Optimization Algorithm, Moth Swarm Algorithm, Selfish Herd Optimization Algorithm et. al and its applications. Authors are invited to submit heir original work in the areas including (but not limited to) the following:

• Metaheuristic optimization algorithms convergence analysis and parameter choice method
• Enhance metaheuristic optimization algorithms with applications
• Hybrid metaheuristic optimization algorithms with applications
• Hyper metaheuristic optimization algorithms theory with applications
• Various improved version metaheuristic optimization algorithms with applications
• Solving large-scale combinatorial optimization problem by the metaheuristic optimization algorithm.

Organizers:
Prof.Michael Gromiha
IIT Madras,India
Email: gromiha@iitm.ac.in

Y-h. Taguchi
Chuo University, Japan
Email: tag@granular.com

Scope and Topics:

Organizers:
Kang-Hyun Jo
University of Ulsan,Korea
Email: acejo@ulsan.ac.kr

Hyun Deok Kang
Ulsan National Institute of Science and Technology,Korea
Email: khd0425@unist.ac.kr

Van-Dung Hoang
Quang Binh University,Vietnam
Email:hvzung@gmail.com

Kaushik Deb
Chittagong University of Engineering and Technology,Indonesia
Email:debkaushik99@gmail.com

Wahyono
Gadja Mada University,Korea,Indonesia
Email:wahyono.doank@gmail.com

Scope and Topics:

Organizers:
Ben Niu
Shenzhen University,China
Email:drniuben@gmai.com

Rong Qu
University of Nottingham ,UK
Email: rong.qu@nottingham.ac.uk

Yanmin Liu
Zunyi Normal College,China
Email:yanmin7813@163.com

Scope and Topics:

Topics of interest include but not limited to:

Organizers:
Jiabao Wang
Army Engineering University of PLA, China
Email:jiabao_1108@163.com

Hang Li
Army Engineering University of PLA, China
Email: lihang0003@outlook.com

Di Wu
School of Electronics and Information Engineering, Tongji University, China
Email:wudi_qingyuan@163.com

Scope and Topics:

In recent years, with the development of video surveillance equipment and intelligent analysis technology, people pay much attention to pedestrian and vehicle analysis in social public safety. Pedestrian and vehicle detection, recognition, tracking and related technologies become the focus of intelligent analysis tasks. However, in practice, the computing speed and accuracy still need to be improved. In order to promote the development of this important area, the aim of this special session is to explore scientific paradigms, models, methods and technologies and applications for Pedestrian and Vehicle Analysis. Potential topics include, but are not limited to:

Organizers:
Vitoantonio Bevilacqua, Electronic and Information Associate Professor, Ph.D. Eng.Head of Industrial Informatics Lab
Department of Electrical and Information Engineering  - Polytechnic University of Bari, Italy
Email:vitoantonio.bevilacqua@poliba.it

Scope and Topics:

Pattern Recognition and Machine Learning approaches are still potentially optimal methodologies to support physicians in clinical and sanitary decisions. Bioengineering applications are always more often studied and requested in hospitals and clinics to support precision medicine and evidenced based medicine in a new international innovative scenario for the health system in the presence of big data. Different specialization of engineers and technicians collaborate each other in some teams composed by computer scientists, bioinformatics and systems biology experts, physical doctors and physics, to design, implement and validate applications to improve the performance of diagnosis, prognosis, therapy and assisted rehabilitation. We strongly encourage the submission of papers describing innovative algorithms, frameworks and platforms highlighting the bioengineering potentialities in clinical and sanitary applications for international health systems. You are invited to submit papers that are unpublished original work for this special session at ICIC 2019. The topics are, but not limited to, the following: