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

Workshop Program

AIML 1: The 2nd IEEE International Workshop on Advances in AI and Machine Learning: Research & Practice
Monday July 15, 8:00 – 9:30
Location: AMU 163
Session Chair: Piyush Saxena, Direct Supply, USA

Multi-scale Discriminative Location-aware Network for Few-Shot Semantic Segmentation
Zihao Dong, Ruixun Zhang, Hongyu Zhou and Xiuli Shao

Research on Evaluation Function of Clustering Algorithm Based on Duty Cycle
Hong Jie Liu, Hong Zhe Xu, Yu Yan and Wen Li

How Smart is your Manufacturing? Build Smarter with AI
Mike McMahon, Dale Mumper, Mitsuko Ihaza and Dominic Farrar

AIML 2: The 2nd IEEE International Workshop on Advances in AI and Machine Learning: Research & Practice
Monday July 15, 10:00 – 12:00
Location: AMU 163
Session Chair: San Murugesan, BRITE Professional Services, Australia

Panel Discussion: How will AI Impact the Workforce, and How Can We Get Prepared for the Impending Changes and Challenges?
Full panel description and bios
Moderator: Piyush Saxena, Direct Supply, USA
Panelists: Megan A. Sheffer-Czuta, Northwestern Mutual Data Science Institute
Nithin Ramachandran, Direct Supply
Randall Kirk, Direct Supply
RJ Nowling, Milwaukee School of Engineering

Feature Boosting in Natural Image Classification
Piyush Saxena, Devansh Saxena, Xiao Nie, Aaron Helmers, Nithin Ramachandran, Nazmus Sakib and Sheikh Iqbal Ahamed

AIML 3: The 2nd IEEE International Workshop on Advances in AI and Machine Learning: Research & Practice
Monday July 15, 1:00 – 2:30
Location: AMU 163
Session Chair: Mohammad Adibuzzaman, Purdue University, USA

An Electrocardiogram Inter-patient Heartbeat Classification by Extreme Learning Machine
Nvsls Indira D and Jagadeeswara Rao Annam

A Teaching Assistant Robot Design Tool Base on Knowledge Chunks Reuse
Takeshi Morita, Naoya Takahashi, Mizuki Kosuda and Takahira Yamaguchi

Identifying Buildings with Ramp Entrances Using Convolutional Neural Networks
Jiawei Wu, Wenliang Hu, Joseph Coelho, Paromita Nitu, Praveen Madiraju, Roger O Smith and Sheikh Iqbal Ahamed

Modeling the Structured Porous Network using Stacked Ensemble Learning
Mehdi Nekouei and Sara Sartoli

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 2^nd 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.