2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020
07-18 December 2020
University of Salerno, Italy
In Collaboration with
Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be reviewed for possible publication in SPRINGER LNNS book series.
{Selected quality papers will be reviewed for possible publication in Technology and Economics of Smart Grids and Sustainable Energy (Special Issue)}
Springer LNNS
Program & Paper presentation Schedule


Amid prevailing conditions due to COVID19, a virtual meeting platform is to be made available for all registered authors who intend to submit their work but are unable to attend the conference.

About Conference

The proposed Deep Learning, AI and Robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. ICDLAIR 2020, organized by University of Salerno in collaboration with International Association of Academicians (IAASSE) and Italian National Laboratory of Artificial Intelligence and Intelligent Systems, aims at collecting scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Through sharing and networking, ICDLAIR 2020 will provide an opportunity for researchers, practitioners and educators to exchange research evidence, practical experiences and innovative ideas on issues related to the Conference theme. ICDLAIR 2020 intends to publish the post-conference work in order to give authors the opportunity to collect feedback during the presentation.

Read More

Key Note Speaker

Dr Eugene Kolker
Dr Eugene Kolker,
Executive VP, Global Enterprise Services & Co-Director, AI/ML Center of Excellence, New York, USA.

Eugene Kolker, PhD, is a highly accomplished and enterprising visionary specializing in developing, scaling, and selling innovative digital solutions across diverse industries. Known as a results-oriented executive, he has a unique blend of entrepreneurial, academic, and corporate background. Gene is an experienced strategist who drives revenue growth, econometric forecasting, and facilitating digital, data-driven transformation. A seasoned, hands-on, award-winning executive with high-caliber interpersonal relationship, leadership, management, and coaching skills, Gene has a proven ability to thrive in dynamically changing environments requiring timely and data-driven decision-making.

A few of Gene’s key accomplishments include: 

  • Over 20 years of experience in AI, ML, data science, technology, economics, and digital strategy, working with startups, consulting and advisory firms, Fortune 100, and governmental agencies.
  • Defined and executed a data, analytics, and digital strategy and operating model that resulted in improved business and financial outcomes, reduced costs, and a 390% increase in company revenue.
  • Published over 130 peer-reviewed papers in 50 different journals (e.g. Science, Nature, PNAS). Top papers are among the most cited in machine learning, data science, and proteomics (4,800 and 4,300 citations). Published an award-winning paper in Metabolomics.
  • Adjunct Professor, Dept. of Technology Management and Innovation, Tandon School of Engineering, New York University. Current courses for graduate students: “AI Business Innovation” and “Advanced Business Analytics”.
  • Formerly: Division of Biomedical and Health Informatics, School of Medicine, University of Washington, Seattle and Dept. of Chemistry and Chemical Biology, College of Science, Northeastern University, Boston.
  •  Recipient of numerous awards, including being named one of the “Top Three Innovators” by HIMSS.

Read more: https://engineering.nyu.edu/advisory-council/eugene-kolker.

Important Dates

Special Session Proposals

September 10, 2020

Submission of Extended Abstracts (Final extension)

November 05, 2020

Acceptance Notification

November 25, 2020

Early Bird Registration

November 30, 2020

Oral Presentation of selected works (Conference)

December 07-18, 2020

Submission of Full Papers

January 15, 2021

Indexing

Post conference, proceedings will be made available to the following indexing services for possible inclusion:

Scopus
dblp - computer science bibliography
Clarivate Analytics
google scholar
Conference Tracks
Artificial Intelligence & Applications
  • Emotional Computing
  • Artificial neural networks, Fuzzy Logic
  • Support Vector Machine and kernel methods
  • Genetic Algorithms and Evolutionary Computing
  • Graphical models and applications
  • Swarm Intelligence, Rough Sets Theory
  • Selection and Dimension Reduction
  • Brain Machine Interface
  • Neuroscience and Cognitive Sciences, Pattern Recognition and Classification
  • Content-Based Image Retrieval
  • Digital Image Computing
  • Real world applications, Explainable AI
  • Teaching practices
Deep Learning
  • Foundations
  • Applications of deep learning in various engineering streams
  • Neural information processing systems and architectures
  • Training schemes, GPU computation and paradigms
  • Reinforcement Learning
  • Natural Language Processing
  • GANs and other neural generative methods
  • Representation embedding spaces
  • Deep Belief Networks and Statistical Learning
  • Advance Optimization techniques
  • Autonomous Computing
  • Extreme Learning Machines
  • Hybrid Intelligent Systems
Robotics
  • Human robot interaction and communication
  • Cognitive, developmental and evolutionary robotics
  • Software Defined Network (SDN) and IoT
  • Sensor and Actuator Networks
  • Fault Diagnosis
  • Space and Underwater Robotics
  • Simulation and Modeling
  • Bio-inspired robotics
  • Cable robots, cognitive robotics
  • Cognitive Approach for Robotics
  • Collaborative robotics
  • Collective and Social Robots
  • CHumanoid Robots
  • Machine to Machine (M2M) / Devices-to-Devices communications
  • Automotive, Intelligent Robots
AI Applications and Services in IOT
  • Smart Cities, Smart Home, and IoT-based Building Automation
  • Smart Agriculture, Retails and Water Management
  • Smart factories and Industry 4.0
  • e-Health, Assisted Living and e-Wellness
  • Smart Grid, Energy Management
  • Collaborative Applications and Systems
  • Big data and IoT Data Analytics
  • Semantic Technologies, Collective Intelligence
  • Cognitive and Reasoning about Things and Smart Objects
  • Mobile Cloud Computing (MCC) and IoT
  • IoT Privacy and Security Concerns
  • Wireless Sensor Network for IoT Security
  • Cryptography, Key Management, Authentication and Authorization for IoT
  • IoT Forensic Science
  • Communication Security in IoT
Conference is also organizing various special sessions/workshops. For details Click here