aiml2019-04-02T13:02:13+00:00

AIML 2019: The 2nd IEEE International Workshop on Advances in AI and Machine Learning: Research & Practice

Call for Papers

After decades of generous promises and several frustrating disappointments, artificial intelligence (AI) and machine learning (ML) is finally starting to deliver significant real benefits and early adopters in business and industry are embracing their promise reaping benefits. We’re now witnessing rapid advances in AI and ML – in research, development, application and commercialization. To lay better foundation for their further advancesand embrace them for good for benefit of society, we need to share and discuss ongoing advances AI and ML, creative ideas on their novel applications, and challenges and lessons learned in embracing them.

This 2nd IEEE International Workshop on Advances in AI and Machine Learning (AIML) will facilitate this much needed interaction and information exchange among AI researchers, practitioners and business executives. It’ll cover several elements of AI research and practice, examine key issues and challenges facing adoption of AI in a variety of applications, present overview of current status of AI in practice, and explore AI’s potential now and in the near future.It will provide a platform to demonstrate applications and software tools, and present case studies and application experience. It will also facilitate discussion on social, legal and ethical implications of AI applications. Researchers and practitioners from all over the world from academia, industry, and government are invited to present their work and perspectives and participate in the workshop.

Topics of interest include, but are not limited to:

  • Advances in AI, ML, deep learning, cognitive computing, intelligent agent, and chatbot
  • AI strategy for business and industry
  • AI in healthcare and medicine
  • Causal inference
  • AI applications in industry, business, education and training
  • AI in knowledge management, process management, process mining
  • AI in legal practice
  • Entertainment in the AI age
  • AI for improving cyber security and information privacy
  • Work in the age of AI
  • Trust, resilience, privacy and security issues in AI applications
  • Testing and validation of AI and ML applications
  • Risks, limitations, and challenges of AI and ML
  • Legal, regulatory, ethical aspects of AI
  • AI: promise vs practice
  • Societal implication of the rise of AI
  • Human-machine co-existence and collaboration
  • Intelligent, autonomous robots and cars
  • Industry 4.0
  • Smart society
  • AI and IoT
  • Case studies, experience reports, lessons learned
  • Overview of AI activities in your region/country
  • Shaping the future of AI

Accepted papers will be published in COMPSAC Proceedings at IEEE Xplore which is indexed by several popular indexing services.

In addition to regular papers, we welcome, particularly from industry authors, industrial practice reports. Furthermore, to facilitate presentation of their already published work to a wider audience in person and to gain feedback on their work, authors can submit their published work in an IEEE journal in the last three years or accepted but not yet published papers, for presentation under the J1C2 (Journal First and Conference Second) scheme.



Paper Submission Site


Submission deadlines are given on the Important Dates page.

Paper templates and additional information for authors is available on the Information for Authors page.

All papers submitted to symposia and workshops must be original, previously unpublished work. Interested in presenting previously IEEE journal published work at COMPSAC? Please see our page on Journal First/Conference Second (J1C2) publishing opportunities!

AIML Organizers

San Murugesan, Director BRITE Professional Services; Editor in Chief Emeritus, IEEE CS IT Professional, Australia
Email: san1@internode.net

Takahira Yamaguchi, Faculty of Science and Technology, Keio University; Past President,  Japanese Society of AI, Japan
Email: yamaguti@ae.keio.ac.jp

Mohammad Adibuzzaman, Research Scientist, Regenstrief Center for Healthcare Engineering, Purdue University, USA
Email: madibuzz@purdue.edu

Piyush Saxena, Direct Supply, USA
Email: piyush.saxena@directsupply.com

 

Program Committee

Peter Andras, Keele University, UK
Patrikakis Charalampos, University of West Attica, Greece
Uttam Ghosh, Vanderbilt University, USA
Prerna Lal, International Management Institute, India
Takeshi Morita, Keio University, Japan
Ryohei Orihara, Toshiba Memory Corp, Japan
Kozo Ohara, Aoyama Gakuin University, Japan
Al-Sakib Pathan, Southeast University, Bangladesh
Raj Ramesh, Top Sigma, USA
Keng Siau, Missouri University of Science & Technology, USA
Lena Waizenegger, Auckland University of Technology, New Zealand
Kenichi Yoshida, Tsukuba University, Japan