Hoang Pham
     Rutgers University, USA
  Suprasad Amari
     BAE Systems, USA
  Taghi M. Khoshgoftaar
     Florida Atlantic University, USA
  Mu-Yen Chen (Taiwan)
  Michael Grottke (Germany)
  Yi-Kuei Lin (Taiwan)
  Naeem (Jim) Seliya (USA)
  Dharmaraja Selvamuthu (India)
  Andrei V. Shcheprov (USA)
  Brijendra Singh (India)
  Loon Ching Tang (Singapore)
  Fugee Tsung (Hong Kong)
  Kalyan Vaidyanathan (USA)
  Huanjing Wang (USA)
  Min Xie (Hong Kong)
  Hui Xiong (USA)
  Songlin Zheng (China)

Calls for Papers / Journals of Interest

International Journal of Reliability, Quality and Safety Engineering (IJRQSE)

Annals of Operations Research

Call for Book Chapters


 

Important Dates  

Submission Deadline
  February 15, 2021
  March 15, 2021

Notification of Acceptance
  March 31, 2021

Author Registration Deadline
  May 31, 2021
  June 15, 2021

Camera-ready Paper Submission
  May 31, 2021

 




Updates

DSIS 2021 will become a part of ISSAT RQD 2021 conference
Due to low number of accepted papers, DSIS 2021 conference will be part of ISSAT RQD 2021 conference as Special Sessions. Registered papers will be included in the RQD 2021 Conference Proceedings. Please click on RQD 2021 website to learn more about this conference.

Registration is now open!
Registration is now open through RQD 2021 site. Registration date is extended to June 15, 2021. Register now!

DSIS 2021 conference will be virtual only
The health and safety of conference participants remain our top priority. After careful consideration, the Conference Committee has decided that the conference will be virtual only.

Camera-ready papers due: May 31, 2021
Authors of accepted papers/abstracts can submit their camera-ready papers as attachments to dsis@issatconferences.org.
Please see Camera-ready paper guidelines for formatting instructions.

Organizer and Sponsor
 

       International Society of Science and Applied Technologies (ISSAT)

Theme
 

ISSAT International Conference on Data Science and Intelligent Systems aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data and advanced analytics, for discussion and exchange of ideas on the latest theoretical developments in Data Science and Intelligent Systems as well as on the best practices for a wide range of applications. Papers may address any aspect of data science and intelligent systems. Papers dealing with industrial case studies, experimental and theoretical works on data science and intelligent systems along with their application to real life situations are of particular interest.


Topics of Interest
    General areas and topics of interest include but are not limited to:
 
Data Science
  • Big Data modeling and prediction
  • Data analytics and machine learning
  • Statistical learning algorithms, models and theories
  • Machine learning theories, models and systems
  • Data mining, text mining and deep machine learning
  • Data pre-processing and sampling
  • Feature selection and development
  • Large scale optimization
  • High performance computing for data analytics
  • Architecture and management for data science
  • Web and social text mining
  • Cloud computing and service data analysis
  • Efficient management of data acquisition
  • Intelligent analysis of large spatial data
Intelligent Systems
  • Intelligent service systems and semantic computing
  • Uncertainty modeling of intelligent systems
  • Smart infrastructure design
  • Intelligent robots and unmanned systems
  • Cyber security, privacy and trust
  • Intelligent vehicles and autonomous cars
  • Smart industrial automation and manufacturing
  • Automated data exploration and knowledge discovery
  • Dependability and reliability of intelligent systems
  • Human wearable sensors and technologies
  • Intelligent safety systems and risk management
  • Smart healthcare and energy power systems
  • Human-artificial systems integration
  • Intelligent pervasive and ubiquitous computing
Applications
  • Large scale application case studies in intelligent systems
  • Best practices and lessons learned on developing products in complex systems
  • Challenges in data science and advanced analytics
  • Data science and intelligent systems for real world applications
Best Paper Awards / Journal Publications
 

Two outstanding papers presented at the conference will be chosen for the Conference Best Paper and Best Student Paper Awards. Student must be first author and presenter at the conference to quality.

Outstanding papers will be considered for publication in special issues of the International Journal of Reliability, Quality and Safety Engineering and Statistical Reliability Modeling and Optimization Special Volume of the Annals of Operations Research and an edited book by Springer. Authors of selected papers will be notified and provided with more details.